Business and Domain Model for Information Commerce

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领先的数据管理专家

领先的数据管理专家

1领先的数据管理专家始终专注于提供一切有关数据的变革创新,以数据Informatica 已经准备好帮助企业和经过二十多年的发展和积累,形成了成用高效、法规等,主数据360全面深入地洞察业务,需要准确、一致的主数据支持。

360度全方位了解客户、供应商、产品等信息,是推动业务精细化管理的基础。

云数据管理随着应用和数据走向云端,数据管理的架构必须打破传统架构,保持与业务发展一致的敏捷性,以支撑和优化业务。

Informatica 智能数据平台是优秀的数据管理解决方案的基础。

该平台通过统一的连接、计算、监控、管理能力,和以人工智能推动的智能元数据管理,将核心能力虚拟化,随时应对应用、数据和技术的互联互通及快速处理——不论它们是在云中、企业内部,还是混合环境中。

借助Informatica 全面、统一、开放且经济的智能数据平台,用户可以利用数据集成、数据质量管理、数据安全和主数据管理等产品,在集成广泛的数据来源的同时,安全地访问、探查、清洗、集成并交付数据,提供具有业务针对性的各种数据管理解决方案。

得益于智能数据平台,Informatica 的产品和解决方案可以帮助企业用户的业务从传统数据到云端、大数据、实时处理的平滑过渡,而不需要额外的开发和时间成本。

凭借全球范围内多年的成功经验、行业领先的技术优势和久经验证的产品质量,Informatica 自2005年进入中国市场以来,帮助众多中国企业和组织实现了领先于市场的增长。

目前,Informatica 与千余家中国客户在数据管理的道路上携手共进,涵盖金融、政府和公共部门、电信、医疗、制造、汽车、能源、教育、零售和运输等众多行业。

作为全球战略的重要组成部分, Informatica 对中国市场有着长期而坚定的承诺,期待与中国用户一道,续写下一个十年的辉煌。

智能数据平台产品解决方案六大魔力象限领导者在所有数据管理领域均位居领导者象限Gartner 数据集成工具魔力象限Gartner 元数据管理解决方案魔力象限Gartner 数据质量工具魔力象限Gartner 主数据管理解决方案魔力象限Gartner 企业集成平台即服务魔力象限Gartner 数据脱敏技术魔力象限在过去的年中,家。

E-BusinessModelDesign,Classification,andMeasurements

E-BusinessModelDesign,Classification,andMeasurements

AuctionOnline retailers Working Council for (Case Studies)(Case Studies)CIOs (1999)Awareness level Marketing % or orders correctly Sales and marketing expendituresfulfilledexpenses%of click through % of orders delivered to Attreaction of media Reliable deliverycorrect address# of referrals# of people told by one customer# of trucks% of documents used by # of fulfillment centersknowledge workers available on-line% of employees accessing Intranet at least daily Answer time Out-of-stock positions Order confirmation cycle System capacity# of orders processed time# of transactions per day # of transactions per day % of products that are # of users in live daybuilt-to-orderauctions (capacity)Logistics capacityCash conversion ratio Inventory turns/year Inventory levelsBid-to-cash cycle time Ability to handle additional traffic Network uptimeAverage time to load a page4 day delivery (partner)Revenues from # of partnersaffiliates program Logistics capacity (outsourced)Revenue breakdown by Advertising, research productand marketing # of page impression revenuesAdvertising revenues Subscription fees Revenue growthRevenue growth Value of goods traded # of products sold Administration costsOperating expenses Net assets needed to Investments support $1 worth of Cost structure outputNet profit/loss Operating profit/loss Free cash flow Gross profit marginNet profit/lossWorking capital Return on invested capitalfinancingMarket capitalization Share priceShare priceNet proceeds of IPOTable 3. Measures for E-Business Companies (continued )BrandingResource/AssestsActivities/ProcessPartner NetworkCostProfit(3) I n f r a s t r u c t u r e M a n a g e m e n t(4) F i n a n c i a l A s p e c t sRevenuedefine particular conditions of each company.。

工作流参考模型英文

工作流参考模型英文

工作流参考模型英文A Reference Model for Workflow in the WorkplaceIntroductionIn today's fast-paced business environment, organizations must constantly find ways to optimize their processes and improve productivity. One way to achieve this is by implementing a robust workflow management system. A workflow is a series of activities that are performed to achieve a specific goal within an organization. It involves the movement of information, documents, or tasks from one participant to another in a predefined sequence. To help organizations understand and design effective workflow systems, this paper presents a reference model for workflow in the workplace.Definition and Components of a WorkflowA workflow consists of three main components: processes, tasks, and participants. A process is a set of activities that are organizedin a logical sequence to achieve a specific outcome. Tasks are the individual steps or activities within a process. Participants are the individuals or groups who are responsible for executing the tasks and ensuring the flow of work.The Reference ModelThe reference model for workflow in the workplace consists of four layers: the business layer, the process layer, the data layer, and the technology layer. Each layer has its own set of components and functions.1. The Business LayerThe business layer represents the overall goals and objectives of the organization. It includes components such as the organizational structure, business rules, and performance metrics. The business layer defines the context in which the workflow operates and provides a framework for aligning the workflow with the strategic goals of the organization.2. The Process LayerThe process layer defines the set of activities that need to be performed to accomplish a specific task or goal. It includes components such as process models, process definitions, and process analysis tools. The process layer provides a structured framework for organizing and managing the activities within a workflow.3. The Data LayerThe data layer represents the information that is generated, processed, and stored during the workflow. It includes components such as data models, data integration tools, and data validation mechanisms. The data layer ensures that the right information is available at the right time to support decision making and enable efficient workflow execution.4. The Technology LayerThe technology layer includes the tools and systems that are used to implement and execute the workflow. It includes components such as workflow management systems, document management systems, and collaboration tools. The technology layer provides the necessary infrastructure for automating and optimizing the workflow processes.Benefits of the Reference ModelBy using the reference model for workflow in the workplace, organizations can achieve several benefits:1. Improved Efficiency: The reference model helps streamline processes, eliminate redundancies, and minimize errors, resulting in improved efficiency and productivity.2. Enhanced Collaboration: The model facilitates effective communication and collaboration among participants, leading to better coordination and teamwork.3. Better Decision Making: The model provides real-time access to accurate and up-to-date information, enabling participants to make informed decisions quickly.4. Increased Transparency: The model promotes transparency by providing visibility into the workflow processes and progress, making it easier to identify bottlenecks and areas for improvement.5. Continuous Improvement: The model encourages organizations to regularly analyze and optimize their workflows, leading to a continuous improvement cycle that drives innovation and competitiveness.ConclusionA well-designed and efficient workflow is essential for organizations to stay competitive in today's dynamic business landscape. The reference model presented in this paper provides acomprehensive framework for understanding and implementing workflow in the workplace. By utilizing this model, organizations can optimize their processes, improve productivity, and achieve their strategic goals.Sure! Here are some additional points to further expand on the topic:6. Scalability: The reference model allows organizations to scale their workflows as their business grows. By designing processes that can accommodate higher volumes of tasks and participants, organizations can maintain efficiency and productivity even as they expand.7. Flexibility: The model provides flexibility in designing workflows to fit the specific needs of different departments or teams within an organization. By customizing processes and tasks based on the requirements of specific roles or projects, organizations can maximize effectiveness and adaptability.8. Compliance and Auditability: The reference model helps organizations ensure compliance with industry regulations and internal policies. By incorporating security measures, access controls, and audit trails, organizations can track and document workflow activities, demonstrating transparency and accountability.9. Integration with External Systems: The technology layer of the reference model enables seamless integration with external systems, such as customer relationship management (CRM) or enterprise resource planning (ERP) systems. Integrating workflows with these systems ensures efficient data exchange and eliminates manual data entry, reducing errors and improving overallproductivity.10. Mobile Accessibility: With the proliferation of mobile devices, it is crucial for workflows to be accessible anytime and anywhere. The reference model supports mobile access, allowing participants to view tasks, provide approvals, and receive notifications on their smartphones or tablets. This enhances productivity by enabling participants to stay connected and make decisions on the go.11. Analytics and Reporting: The data layer of the reference model enables organizations to collect and analyze workflow data, providing valuable insights for process improvement. By generating reports and visualizations, organizations can identify bottlenecks, monitor performance metrics, and make data-driven decisions to optimize workflows.12. Change Management: Implementing a new workflow system requires change management efforts to ensure a smooth transition. The reference model allows organizations to plan and execute change management strategies, involving stakeholders and providing training to ensure successful adoption and utilization of the workflow system.13. Continuous Training and Support: The technology layer of the reference model requires ongoing training and support to ensure participants understand and effectively use the workflow tools and systems. Organizations should provide comprehensive training programs, user manuals, and continuous support to help participants navigate the workflow processes and overcome any challenges.14. Integration of Artificial Intelligence and Automation: As technology advances, organizations can leverage artificial intelligence (AI) and automation to further optimize workflows.By incorporating AI algorithms and automation tools, organizations can automate repetitive tasks, make intelligent predictions, and enhance decision-making processes within workflows.15. Security and Data Privacy: Organizations must prioritize security and data privacy when designing and implementing workflow systems. The reference model emphasizes the need for robust security measures, including encryption, access controls, and data encryption, to protect sensitive information and ensure compliance with data protection regulations.In conclusion, the reference model for workflow in the workplace provides organizations with a comprehensive framework to optimize processes, improve productivity, and achieve their strategic goals. By implementing efficient workflows that align with organizational objectives, organizations can enhance collaboration, make better decisions, and continuously improve their workflows. With the right technology and support, organizations can leverage this reference model to drive innovation, competitiveness, and success in today's rapidly evolving business landscape.。

商业模式思维模型

商业模式思维模型

商业模式思维模型(中英文版)English:The business model thinking model is a framework that organizations use to describe, design, and test their strategies for creating value.It encompasses the components necessary for a business to thrive, including its customer segments, value propositions, channels, customer relationships, revenue streams, key activities, key resources, and partnerships.By utilizing this model, businesses can better understand their current operations, identify areas for improvement, and explore new opportunities for growth.中文:商业模式思维模型是一种框架,组织用来描述、设计和测试他们创造价值的策略。

它包括了企业繁荣所需的所有组成部分,包括其客户细分、价值主张、渠道、客户关系、收入来源、关键活动、关键资源和合作伙伴。

通过使用这个模型,企业可以更好地理解他们当前的运营,识别改进领域,并探索新的增长机会。

English:One of the key benefits of the business model thinking model is its ability to facilitate collaboration and communication within an organization.It provides a common language and visual representation that can be easily understood by all stakeholders, including employees, management, and investors.This shared understanding helps to aligneveryone towards a common goal, ensuring that all efforts are focused on creating and capturing value.中文:商业模式思维模型的一个关键好处是,它能够促进组织内部的协作和沟通。

商务英语培训课件

商务英语培训课件

Overview of Effe源自tive Communication Skills
Understanding the importance of clear, consensus, and professional communication in a business
context
Recognizing different communication styles and adapting one's own style to suit different audiences and
Using permission and influence
Employing permission technologies such as logical reasoning, emotional appeals, and ethical arguments to influence the other party's position
01
Basic Concepts and Characteristics of Business English
Definition and Function of Business English
Definition
Business English refers to the specialized language used in commercial and corporate settings for effective communication
Passive Voice
02
The passive voice is frequently used in business English

Business Models

Business Models

Flows
Project to Profit
FastForward Flow: Project to Profit
Plan to Create Budget to Bill Budget to Cost Mgt Budget to Assets Analysis to Close
Flows
请购 to 付款(间接) 付款(间接)
• 应收账款专员根据 客户要求进行退款 和扣款处理
• 物料入库
角色
客服人员 仓储员 收货员 应收账款专员
5/7
BACK
销售退货 and 换货
收计划数据
启动 生产计划
• 开始生产计划
需求计划员 生产计划员
• 从交易系统收集计 划数据
生产计划 (PFS04)
分析计划 调整计划 使用强制性 修订进行模拟
• 通过强制性修订模 拟运行计划用于模 拟出解决方案
合并 强制修订
• 将内外部的强制修 订进行合并
执行 强制修订
• 根据合并结果执行 强制修订
产生内部报告
• 生成应付账款报表 • 生成采购交易报表
角色
审核人 申请人 采购员 应付帐款专员 System
3/3
BACK
Forecast To Plan
预测和需求管理 (PFS02)
建立预测和 需求管理政策
• 建立预测规则、方法 • 需求管理政策 • 报告机制等
收集 预测数据
• 收集历史的销售和 出货资料,进而便 于统计预测;
录入客户订单
订单排程 (OFS03)
安排出货日期 发送订单承诺
客户信用 (OFS05)
释放客户 信用限制
• 针对个别特殊订单 释放客户信用限制

设计商业模式常用的ChatGPT提示词Prompts指令

设计商业模式常用的ChatGPT提示词Prompts指令

1. 客户细分(Customer Segments)Prompt: "Please provide a comprehensive analysis of the various customer segments that could potentially derive value from the product or service. In your response, consider factors such as the unique needs, behaviors, and characteristics of each segment. Additionally, explain how the product or service can be customized or modified to effectively address the specific requirements of these segments."提示:请提供对可能从产品或服务中获得价值的各种客户细分的全面分析。

在您的回答中,考虑每个细分的独特需求、行为和特征等因素。

此外,解释产品或服务如何可以定制或修改以有效地满足这些细分的特定需求。

2. 价值主张(Value Propositions)Prompt: "Please describe in detail how your product or service offers a distinct and valuable advantage to your customer segments. Specifically, explain how it effectively addresses their problems or fulfills their needs in a superior manner compared to other alternatives available in the market."提示:请详细描述您的产品或服务如何为您的客户细分提供独特且有价值的优势。

businessmodelsforelectronicmarkets

businessmodelsforelectronicmarkets

Business Models for Electronic Markets by Paul Timmers, European Commission, Directorate-General III, April 1998*sive development in electronic commerce.The reasons for that are, of course, theInternet and the World Wide Web, whichare making electronic commerce muchmore accessible. They offer easily usableand low cost forms of electronic com-merce. Electronic commerce on the basisof the Internet is set to become a veryimportant way of doing business.Forrester (1997) forecasts that business-to-business (B-to-B) electronic commerce will grow to $327 billion in the year 2002 — that is the value of goods and serv-ices traded via the Internet. This excludes the value of the hardware, software and services that are needed to perform elec-tronic commerce, whose value is estimated at several hundred billions of dollars like-wise. Between 1996 and 1997 electronic commerce has been growing at over 1000 percent per year. While such high growth rates will not be sustained, it is clear that electronic commerce will become perva-sive: Datamonitor (1997) expects in 5 years time 630,000 US companies and 245,000 European companies to be involved in full-fledged integrated B-to-B electronic com-merce. The Report on Electronic Commerce (1998) expects that the business-to-busi-ness penetration rate will grow from 10% in 1997 to 90% in 2001.Although the number of consumers on the Net by the year 2000 could be several 100 millions it is expected that business-to-business will constitute the larger part of electronic commerce.With the new medium — the Internet –also new ways of doing business are de-veloping. Most of those that capture the public attention are consumer-oriented (such as , Tesco). Less public-ity is given to the way the Internet can be used for business-to-business electronic commerce, although such commerce is a reality today (e.g. Cisco, General Electronic procurement, etc). New forms of electronic commerce are being piloted in many sec-tors of industry, for business-to-business, business-to-consumer and business-pub-lic administrations relationships. Advanced pilot experiments in new business models are being supported by the European Com-mission in the ESPRIT and ACTS Euro-pean research, technology development and demonstration programmes. This work is part of a more general framework of policy-making and programmes for global electronic commerce, which also addresses the legal and regulatory framework and other factors in the business environment.AbstractElectronic commerce over the Internet may be either complementary to traditional business or represent a whole new line of business. In either case, in view of the new features of the Internet, critical questions to be answered include:♦what are the emerging business models;and related to this,♦which strategic marketing approaches are applied, or emerging.This article addresses the first question above by providing a framework for the classification of Internet electronic com-merce business models. This framework has been developed on the basis of cur-rent commercial Internet business and experimental work in European R&D pro-grammes.Introduction Electronic commerce.i.Electronic com-merce; can be defined loosely as “doing business electronically” (European Com-mission 1997). Electronic commerce in-cludes electronic trading of physical goods and of intangibles such as information. This encompasses all the trading steps such as online marketing, ordering, payment, and support for delivery. Electronic com-merce includes the electronic provision of services, such as after-sales support or online legal advice. Finally it also includes electronic support for collaboration be-tween companies, such as collaborative design.Some forms of electronic commerce exists already for over 20 years, e.g. electronic data interchange (EDI), in sectors such as retail and automotive, and CALS (Compu-ter Assisted Lifecycle Support) in sectors such as defence and heavy manufacturing. These forms of electronic commerce have been limited in their diffusion and take-up. Recently, however, we see an explo-*Mr Paul Timmers(********************.be)iscurrentlyhead of sector in the EuropeanCommission, Directorate-General III-Industry, in the Information Technolo-gies Directorate. He is charged withelectronic commerce in the contextof the European component ofthe G7 Pilot “A Global Marketplace forSMEs” and in the IT research anddevelopment programme ESPRIT.Previous positions in the EuropeanCommission include Assistant tothe Director of Telematics ApplicationsProgramme and project manager intechnology for disabled and elderlypeople. Before joining the CommissionMr. Timmers held various positions inproduct marketing and softwaredevelopment in the IT industry. He hasco-founded a software company.Mr. Timmers holds in PhD in theoreticalphysics and a certificate in businessadministration.3Vol.8 – No.2 – 1998Classification of business models The literature about Internet electronic commerce is not consistent in the usage of the term ‘business model’, and, more-over, often authors do not even give a definition of the term.Therefore, before embarking upon an ap-proach to construct business models, first a definition is giving of what is meant by a business model.Definition of a business model♦An architecture for the product, serv-ice and information flows, including a description of the various business ac-tors and their roles; and♦A description of the potential benefits for the various business actors; and ♦A description of the sources of rev-enues.A business model in itself does not yet provide understanding of how it will con-tribute to realise the business mission of any of the companies who is an actor within the model. We need to know the marketing strategy of the company in or-der to assess the commercial viability and to answer questions like: how is competi-tive advantage being built, what is the positioning, what is the marketing mix, which product-market strategy is followed. Therefore it is useful to identify beyond business models also “marketing models”. Definition of a marketing model♦A business model; and♦The marketing strategy of the business actor under consideration.The classification developed below is for business models only.Value chainsand business modelsA systematic approach to identifying architectures for business models can be based on value chain de-construction and re-construction, that is identifying value chain elements, and identifying possible ways of integrating information along the chain. It also takes into account the pos-sible creation of electronic markets. Thesecan be fully open, that is, with an arbi-trary number of buyers and sellers, or‘semi-open’ that is with one buyer andmultiple sellers (as in public procurement)or vice-versa. The scheme is as follows:(i)Value chain de-construction meansidentifying the elements of the valuechain, for example as in Porter (1985)who distinguishes nine value chain el-ements. Namely, as primary elementsinbound logistics, operations, out-bound logistics, marketing & sales,service; and as support activities tech-nology development, procurement,human resource management, corpo-rate infrastructure;(ii)Interaction patterns, which can be 1-to-1, 1-to-many, many-to-1, many-to-many. In this context ‘1-to-1’ is tobe understood in as enumerating thenumber of parties involved rather thanin the ‘one-to-one marketing’ sense.It is also understood that ‘many’means that information from severalactors is being combined.(iii)Value chain re-construction, that is in-tegration of information processingacross a number of steps of the valuechain. The combinations are of thevalue chain elements involved in suchintegration. Two sets of value chainelements would be mentioned if weconsider the interaction patterns men-tioned in point (ii) above.Possible architectures for business mod-els are then constructed by combining in-teraction patterns with value chain inte-gration. For example, an electronic shopis ‘single actor’-to-‘single actor’ market-ing & sales. A basic electronic mall con-sists of N times an e-shop. An electronicmall having a common brand offersmany-to-1 marketing & sales (brand in-formation is common across ‘many’ sup-pliers in the mall). An electronic auctionwhere multiple buyers are bidding for thesales offer of one supplier brings togethersales of one supplier at a time with theprocurement of multiple buyers, whilecombining the bid information from themultiple buyers.The a priori feasibility of technical im-plementation of the architecture of anybusiness model depends very much uponthe state-of-the-art of the technology.This holds for the integration dimension,for the realisation of the single functions,and for the support for interaction pat-terns. The commercially viability of anybusiness model is a different matter alto-gether which is the domain of a market-ing model analysis.We observe, from actual business on theInternet and pilot projects, that:♦information and communication tech-nology enables a wide range of busi-ness models;♦the capability of the state-of-the-arttechnology is just one criterion inmodel selection;♦technology in itself provides no guide-lines for selecting a model in commer-cial terms;♦guidance to technology developmentcan come from the definition of newmodels;♦many of the conceivable models havenot yet been experimented with com-mercially.While the systematic approach above leadsto a huge number of potential businessmodels, we observe in practice only a smallnumber of these being implemented. Inthe next section eleven such businessmodels or generalisations of specific busi-ness models are included. Examples of allof these can be found on the Internet to-day. Some of these are still experimentalwhile others are in fully commercial op-eration. The selection of eleven has beenmade on the basis of background and casestudy research1. The more general ap-proach presented above remains useful inorder to identify and experiment with newbusiness models.1 The inventory of European electronic commercerelated projects (www.ispo.cec.be/ecommerce/ecomproj.htm) was a particularly useful tool to iden-tify business models and classify projects accordingly.EM – Electronic Markets4!5Vol.8 – No.2 – 1998EM – Electronic Markets67Vol.8 – No.2 – 1998EM – Electronic Markets8。

BNZX公司商业模式(英文版)

BNZX公司商业模式(英文版)

BNZX公司商业模式(英文版)BNZX Company Business Model1. IntroductionBNZX Company is a technology-driven company that operates in the e-commerce industry. The company's business model focuses on providing a platform for businesses and individuals to buy and sell products and services online. With a strong emphasis on customer satisfaction and convenience, BNZX Company aims to create a seamless and enjoyable online shopping experience for its users.2. Revenue StreamsBNZX Company generates revenue through multiple channels. The primary source of income is derived from transaction fees, where the company takes a percentage of each sale made on its platform. In addition, BNZX Company also offers premium services to its users, such as featured listings and advertising options, for which it charges a fee. Furthermore, the company earns revenue through partnerships and collaborations with other businesses, where it acts as an intermediary for the sale of their products or services.3. Key ActivitiesThe key activities of BNZX Company include the operation and maintenance of its online marketplace. This includes the development and continuous improvement of its website and mobile application, ensuring a user-friendly interface and seamless browsing experience. Moreover, BNZX Company actively engages in marketing and promotion activities to attract both buyers andsellers to its platform. Additionally, the company invests in data analytics and research to understand market trends and meet the changing needs and preferences of its users.4. Key PartnershipsBNZX Company has formed strategic partnerships with various stakeholders to strengthen its business model. These partnerships include collaborations with logistics companies for the efficient delivery of products, payment gateways for secure online transactions, and advertising agencies to enhance brand visibility. Furthermore, BNZX Company also collaborates with suppliers and manufacturers to ensure a wide range of products and competitive pricing on its platform.5. Customer SegmentsBNZX Company serves a diverse range of customers, including both businesses and individual consumers. The platform caters to various industries such as fashion, electronics, home appliances, and more. By offering a wide selection of products and services, BNZX Company aims to target customers of all demographics, helping them find what they need easily and conveniently.6. Value PropositionBNZX Company's value proposition lies in its commitment to customer satisfaction and convenience. The platform offers a seamless and user-friendly interface, making it easy for users to browse and purchase products. Furthermore, the company provides secure payment options and reliable delivery services to ensure a smooth and hassle-free shopping experience. Additionally, BNZX Company offers competitive pricing and discounts, attractingcustomers looking for the best deals in the market.7. Key ResourcesThe key resources of BNZX Company include its robust technology infrastructure, which supports its website and mobile application. The company also invests in data analytics and market research to gain insights into consumer behavior and preferences. Moreover, BNZX Company relies on its partnerships with logistics companies and payment gateways to ensure efficient delivery and secure transactions. Additionally, the company utilizes its talented workforce to manage operations and provide customer support. 8. Cost StructureBNZX Company incurs various costs to maintain its business model. These costs include technology and infrastructure expenses, such as website maintenance and server hosting. The company also invests in marketing and promotional activities to attract new users and retain existing ones. Moreover, BNZX Company bears costs related to logistics and delivery services, as well as customer support and personnel salaries.9. ConclusionBNZX Company's business model revolves around providing a user-friendly platform for online buying and selling. By focusing on customer satisfaction, convenience, and competitive pricing, the company aims to attract a wide range of customers and ensure their loyalty. With strategic partnerships, efficient operations, and continuous innovation, BNZX Company strives to remain a leading player in the e-commerce industry.10. Marketing and Promotion StrategiesTo attract a large customer base, BNZX Company implements effective marketing and promotion strategies. The company utilizes both traditional and digital marketing channels to reach a wide audience. Online advertising campaigns are executed through search engine optimization (SEO), pay-per-click (PPC) advertising, social media marketing, and email marketing.BNZX Company also collaborates with influencers and bloggers to create buzz around its platform. Influencers with a strong online presence and a relevant follower base are engaged to promote the platform and its offerings. This strategy helps BNZX Company reach a highly targeted audience and build brand awareness.Additionally, BNZX Company utilizes data analytics to gain insights into customer preferences and behavior. This information is used to segment customers and personalize marketing messages. For example, personalized emails are sent to customers based on their browsing and purchasing history. This not only improves customer engagement but also increases the chances of customer retention and repeat purchases.11. Competitive AdvantagesBNZX Company has several competitive advantages that differentiate it from other players in the e-commerce industry. One of the key advantages is its user-friendly interface and seamless browsing experience. The platform is designed to be intuitive and easy to navigate, making it effortless for customers to find and purchase products. This enhances customer satisfaction and encourages repeat visits.Another competitive advantage of BNZX Company is its wide range of products and services. The platform offers a diverse selection of items across multiple industries, providing customers with a one-stop shop for all their needs. This breadth of offerings sets BNZX Company apart from competitors that focus on specific niches, attracting a larger customer base.Furthermore, BNZX Company's strategic partnerships with logistics companies and payment gateways ensure a smooth and efficient shopping experience. Customers can rely on the platform for secure transactions and timely delivery of their purchases. This enhances customer trust and loyalty, giving BNZX Company a competitive edge in the market.12. Expansion PlansWith a solid foundation in the e-commerce industry, BNZX Company has ambitious expansion plans. The company aims to penetrate new markets and expand its customer base internationally. By entering new markets, BNZX Company can tap into untapped customer segments and increase its revenue streams.To support its expansion plans, BNZX Company invests in research and development to innovate and improve its platform. The company continuously enhances its website and mobile application, introducing new features and functionalities to stay ahead of the competition. This commitment to innovation ensures that BNZX Company remains relevant and appealing to customers in an ever-evolving digital landscape.In addition to geographical expansion, BNZX Company also plansto diversify its product offerings. The company aims to partner with more suppliers and manufacturers to provide a wider selection of products to its customers. By catering to diverse customer preferences and needs, BNZX Company can further strengthen its position in the market.13. Corporate Social ResponsibilityBNZX Company recognizes the importance of corporate social responsibility and incorporates it into its business model. The company actively participates in environmentally friendly practices, such as packaging optimization and recycling programs. BNZX Company also collaborates with suppliers that adhere to sustainable and ethical manufacturing practices.Furthermore, BNZX Company supports various social initiatives and charities. The company allocates a percentage of its revenue to philanthropic activities, giving back to the community and making a positive social impact. By engaging in corporate social responsibility, BNZX Company not only contributes to society but also enhances its reputation and brand image.14. ConclusionBNZX Company operates as a technology-driven e-commerce platform, offering a wide range of products and services to businesses and individual customers. With a focus on customer satisfaction, convenience, and competitive pricing, the company strives to provide a seamless online shopping experience. By continuously innovating and expanding its customer base, BNZX Company aims to become a leading player in the e-commerce industry. Through strategic partnerships and a commitment tocorporate social responsibility, the company aims to create long-term value for all stakeholders.。

Business Statistics

Business Statistics

Business StatisticsBusiness statistics is a branch of statistics that deals with the collection, analysis, and interpretation of data that is relevant to business. It provides a framework for decision-making that is based on data-driven insights rather than gut instincts or the guesses of business owners and managers. Business statistics is used to answer questions like what customers want, how to price a product, how to market it, and how to optimize operations for efficiency and profitability.Types of Business StatisticsBusiness statistics can be divided into two main categories: descriptive and inferential statistics. Descriptive statistics are used to summarize and describe data, while inferential statistics are used to make inferences about a population based on a sample.Descriptive StatisticsDescriptive statistics can be used to describe central tendency (mean, median, and mode), dispersion (range, variance, and standard deviation), and skewness (symmetry or asymmetry) of data. Some common descriptive statistics used in business are:- Frequency distributions: Used to categorize data into intervals or classes, and show how frequently each interval appears in the data. - Measures of central tendency: Used to describe the location of the data, including the mean, median, and mode.- Measures of dispersion: Used to describe the spread of the data, including the range, variance, and standard deviation.- Skewness: Used to describe whether the data is symmetric (normal distribution) or skewed (non-normal distribution). Inferential StatisticsInferential statistics are used to make predictions or generalizations about a population based on a sample. Inferential statistics can be used to test hypotheses, estimate parameters, and calculate confidence intervals. Some common inferential statistics used in business are:- Hypothesis testing: Used to determine whether there is a significant difference between two groups or whether an observed correlation is statistically significant.- Confidence intervals: Used to estimate the range of values that a population parameter is likely to fall within.- Regression analysis: Used to model relationships between a dependent variable and one or more independent variables. Applications of Business StatisticsBusiness statistics has numerous applications in business, and is used to help companies make data-driven decisions. Some of the most common applications of business statistics include:1. Market ResearchBusinesses use market research to better understand their customers and their competitors. By collecting and analyzing data on customer behavior, preferences, and buying habits, companiescan make informed decisions about their products, pricing, and marketing strategies. Business statistics can be used to analyze data from surveys, focus groups, and other research methods.2. Financial ForecastingBusinesses use financial forecasting to predict future revenue, expenses, and profits. By analyzing historical data and forecasting future trends, companies can make informed decisions about investments, acquisitions, and other financial decisions. Business statistics can be used to develop financial models and analyze trends in financial data.3. Operations ManagementBusinesses use operations management to optimize their production processes and reduce costs. By collecting and analyzing data on operations, businesses can make informed decisions about how to improve efficiency, reduce waste, and increase productivity. Business statistics can be used to develop models for forecasting demand, optimizing inventory levels, and measuring efficiency.4. Quality ControlBusinesses use quality control to ensure that their products and services meet customer expectations. By collecting and analyzing data on product quality, businesses can make informed decisions about how to improve their products and reduce defects. Business statistics can be used to analyze data from quality control inspections, customer feedback, and other sources.ConclusionIn conclusion, business statistics is a powerful tool that enables businesses to make data-driven decisions. By collecting and analyzing data, businesses can gain insights into customer behavior, market trends, and operational efficiency. Business statistics can be used to improve product quality, increase efficiency, reduce costs, and optimize profits. Whether you are a small business owner or a Fortune 500 executive, business statistics can help you make informed decisions and achieve your business goals.5. Human Resources ManagementBusinesses use human resources management to recruit, train, and retain employees. By collecting and analyzing data on employee performance, satisfaction, and turnover, companies can make informed decisions about how to manage their workforce. Business statistics can be used to develop models for predicting employee turnover, measuring employee performance, and identifying areas for improvement in training programs.6. Risk ManagementBusinesses use risk management to identify and mitigate potential risks that could negatively impact their operations. By collecting and analyzing data on potential risks, businesses can make informed decisions about how to reduce their exposure to those risks. Business statistics can be used to develop models for predicting risks, measuring their likelihood and impact, and developing strategies for managing them.7. Sales and Marketing OptimizationBusinesses use sales and marketing optimization to improve their customer acquisition and retention rates. By collecting and analyzing data on customer behavior, campaign performance, and sales data, businesses can make informed decisions about how to optimize their sales and marketing strategies. Business statistics can be used to develop models for predicting customer behavior, measuring campaign effectiveness, and identifying areas for improvement in sales and marketing programs.8. Customer Service ImprovementBusinesses use customer service improvement to improve customer satisfaction and retention. By collecting and analyzing data on customer feedback, complaints, and satisfaction ratings, businesses can make informed decisions about how to improve their customer service offerings. Business statistics can be used to develop models for predicting customer satisfaction, measuring the impact of customer service initiatives, and identifying areas for improvement in customer service programs.9. Supply Chain ManagementBusinesses use supply chain management to optimize their supply chain operations and reduce costs. By collecting and analyzing data on inventory levels, lead times, and supplier performance, companies can make informed decisions about how to improve their supply chain efficiency. Business statistics can be used todevelop models for forecasting demand, optimizing inventory levels, and measuring supplier performance.10. Competitive AnalysisBusinesses use competitive analysis to understand their competitors and identify areas for improvement in their own operations. By collecting and analyzing data on competitor pricing, product offerings, and marketing strategies, businesses can make informed decisions about how to compete more effectively. Business statistics can be used to develop models for analyzing market share, measuring customer preferences, and predicting competitor behavior.In summary, business statistics is a crucial tool for businesses of all sizes and industries. By collecting and analyzing data, companies can make informed decisions about how to improve profitability, efficiency, customer satisfaction, and competitive advantage. Whether you are a small business owner or a Fortune 500 executive, business statistics can help you gain valuable insights into your operations and make data-driven decisions that lead to success.。

客户知识管理的五种模型(英文版)

客户知识管理的五种模型(英文版)

Five styles of Customer Knowledge Management,And how smart companies put them into actionMichael Gibbert1, Marius Leibold2, Gilbert Probst31 University of St Gallen, Switzerland and INSEAD, France,2 University of Stellenbosch, South Africa,University of Geneva, Switzerland3E-mail: Michael.Gibbert@unisg.ch, Leibold@mweb.co.za, Gilbert.Probst@hec.unige.chAbstract. In the aftermath of the knowledge economy, smart corporations begin to realize that the proverbial ‘if we only knew what we know’ also includes ‘if we only knew what our customers know.’ In this paper, the authors discuss the concept of Customer Knowledge Management (CKM), which refers to the management of knowledge from customers, i.e. knowledge resident in customers, in contrast to knowledge about customers, e.g. customer characteristics and preferences prevalent in previous work on knowledge management and customer relationship management.Subsequently, five styles of CKM are proposed and practically illustrated by way of corporate examples.Key words. Knowledge Management, Customer relationship management, customer knowledge management, value creation.Our customers are more knowledgeable than we realizeIn the emphasis on knowledge as a key competitive factor in the global economy, corporations may be overlooking a major element – customer knowledge. For example: Old Mutual, the largest insurance company in South Africa (and an internationally expanding FTSE 100 quoted company on the London Stock Exchange) has been incorporating the knowledge of patients concerning their own health condition and treatment directly by way of electronic means, instead of relying only on medical doctors to provide this. Customer knowledge is being used by Old Mutual both to screen applicants for medical insurance and more importantly to develop new medical insurance products.What is the reason for the increasing success of Old Mutual in South Africa and internationally? Partly due to a process called Customer Knowledge Management (CKM). It works like this: where patients’ health evaluation forms were previously completed manually by their doctors, it has been replaced by electronic forms that can be filled in mainly by patients themselves, from the convenience of their homes. Patients still require medical examination by their doctors, but the advantage to all parties are speed, greater accuracy (doctors are notorious for poor handwriting), more information, and especially additional knowledge input from patients themselves. The issues of ethics and professionalism (e.g. security of information, patient-doctor relationship) of course have to be carefully managed, but the advantages of customer knowledge input of their condition, treatment, effects of particular drugs, perception of medical insurance companies and their products are substantial and valuable to pharmaceutical companies, insurance companies, doctors and other stakeholders in the health management industry.Does customer knowledge management only happen in the pharmaceutical/insurance industries? We think not. Over the last six years, we have studied more than two-dozen companies, and found that smart companies are prolific customer knowledge managers (see insert Appendix B: ‘Our research’). Indeed, most companies today consider themselves as market driven, or customer-oriented. Yet only a few companies are actually managing well their perhaps most precious resource: the knowledge of, i.e. residing in their customers, as opposed to knowledge about their customers.Our research shows that by managing the knowledge of their customers, corporations are more likely to sense emerging market opportunities before their competitors, to constructively challenge the established wisdom of “doing things around here”, and to more rapidly create economic value for the corporation, its shareholders, and last, but not least, its customers. CKM is the strategic process by which cutting edge companies emancipate their customers from passive recipients of products and services, to empowerment as knowledge partners. CKM is about gaining, sharing, and expanding the knowledge residing in customers, to both customer and corporate benefit. It can take the form of prosumerism, mutual innovation, team-based co-learning, communities of practice, and joint intellectual property (IP)management. We have identified these as five styles of CKM, which are distinctively different practices, but not mutually exclusive.Expanding on CRM and Knowledge ManagementAt first glance, CKM may seem just another name for Customer Relationship Management (CRM), or Knowledge Management (KM). But customer knowledge managers require a different mindset along a number of key variables (see Table 1). Customer knowledge managers first and foremost focus on knowledge from the customer (i.e. knowledge residing in customers), rather than focusing on knowledge about the customer, as characteristic of customer relationship management. In other words, smart companies realize that corporate customers are more knowledgeable than one might think, and consequently seek knowledge through direct interaction with customers, in addition to seeking knowledge about customers from their sales representatives. Similarly, conventional knowledge managers typically focus only on trying to convert employees from egoistic knowledge hoarders into altruistic knowledge sharers (Eisenhardt and Galunic, 2000). In contrast, with CKM ‘If only we knew what we know’ turns into ‘if only we also knew what our customers know.’Table 1: CKM versus Knowledge Management & Customer Relationship Management KM CRM CKMKnowledge sought in Employee, team, company,networkCustomer Database Customer experience andcreativityAxioms ‘if only we know what weknew’ ‘retention is cheaper thanacquisition’‘if we only knew what ourcustomers know’Objectives Sharing knowledge aboutcustomers amongemployees Mining knowledge aboutthe customerGaining, sharing and expandingknowledge of (inside) thecustomerIndividual or group experiencesin applications, competitorbehavior, possible futuresolutions, etcRole of customer Passive, recipient ofproduct Captive, tied to productby loyalty schemesActive, knowledge partner.Recipient ofIncentivesEmployee Customer CustomerCorporate role Lobbying knowledgehoarding employeesCaptivate customers Emancipate customersBusiness objectives Efficiency and speedgains, avoidance of re-inventing the wheel Customer base nurturing,maintaining ourcustomersCollaboration with customers,joint value creationConceptual base Customer retention Customer satisfaction Customer success, innovation,organizational learningBusiness metrics Performance againstbudget; Customerretention rate Performance in terms ofcustomer satisfaction andloyaltyPerformance against competitorsin innovation and growth;Contribution to customer successThe logic of customer knowledge management seems counter-intuitive: the challenges of getting employees to share their knowledge with one another are daunting enough. Why would customers, of all people, want to share their knowledge to create value for the company and then pay for their own knowledge once it is deployed in the company’s products? This is further exacerbated because customers, like employees, are often not able to make knowledge, i.e. their experiences with the company’s products, their skills, and reflections explicit, and thereby easily transferable and shareable. The answer to these questions is customer knowledge managers put themselves in the shoes of corporate customers, kindling customers’ intrinsic, rather than extrinsic motivation to share their knowledge for the benefit of the company.Consider : The Internet retailer manages customer knowledge successfully through providing book reviews, the customer’s own order histories, order history of other customers, and customized suggestions based on prior orders. Effectively, , a commercial enterprise, developed into a platform of book enthusiasts that are keen to exchange knowledge about their favorite topics (intrinsic motivation). Motivating customers to share their knowledge the Amazon way is a remarkable achievement, particularly if contrasted with the often vain efforts to evangelize employees from egoistic knowledge hoarders to altruistic knowledge sharers by way of rewards systems that are mostly extrinsic. But customer knowledge management is not limited to successful Internet companies. Brick and mortar companies do it, too. Indeed, Holcim, an international cement company that produces the very stuff brick and mortars are made of, is a keen customer knowledge manager (see Insert: How Holcim manages customer knowledge).How the international cement manufacturer Holcim manages customer knowledge Holcim’s companies in the U.S. recently were conducting analysis how to deliver e-commerce solutions to their customers. But Holcim’s aspiration was much more ambitious than simply doing e-commerce. The idea was to create a knowledge sharing platform, where any member of the community of cement and aggregates consumers (concrete producers, distributors, but also engineers, architects) would be able not only to transact business (place orders, pay online), but also share and exchange knowledge (e.g. share cement order forecast, share good and bad experience with specific applications, etc.).In order to test and further develop this aspiration, Holcim’s customer knowledge managers conducted meetings with selected customers in the US. To ensure that their different customer segments were adequately represented. The customer mix was intentionally varied, comprising selected large multi nationals, medium domestic and small family owned companies. The objective of the meeting was to discuss current and emerging trends in the cement industry and the potential impact of these developments on Holcim’s customers, thereby jointly ascertaining how Holcim could create value for their customers.The discussion was open and free flowing - although Holcim had developed a set of value added services that were thought appropriate, Holcim did not implement these until after the customers had given their views, thereby adding value to the company’s services. As one customer knowledge manager at the cement manufacturer has it: “As part of the focus group discussions, Holcim’s customers were impressed the company was talking to them - no other supplier had chosen to do this - all they were seeing were press releases. This made customers feel ownership in our project.”In the meantime, Holcim has built and implemented the knowledge sharing platform in Canada, Belgium and France. Spain and the U.S. will follow shortly. What’s more, during the entire “build” phase, the company kept close contact with the customers and permanently validated with them what did – which was much-appreciated by Holcim’s customers. A representative of a large multinational mentioned: “I like your knowledge sharing platform, because you were listening what I told you during the first visit and really took my comments very serious.”1A shift in mindset towards looking at the customer as a knowledgeable entity has far-reaching implications. Most importantly, the customer is emancipated from being a passive recipient of products and services as in traditional knowledge management. Likewise, the customer is liberated from the ball and chain of customer loyalty schemes prevalent in CRM.Customer knowledge management is also different from traditional knowledge management in the objective pursued. Whereas traditional knowledge management is about efficiency gains (avoidance of “re-inventing the wheel’), customer knowledge management is about innovation and growth. Customer knowledge managers seek opportunities for partneringwith their customers as equal co-creators of organizational value. This is also in stark contrast to the desire to maintain and nurture an existing customer base. The well-known CRM adage ‘retention is cheaper than acquisition’ comes to mind. Unfortunately, retention becomes increasingly difficult in an age where competitors’ product offerings are often close imitations and only three mouse-clicks away. Therfore, customer knowledge managers are much less concerned with customer retention figures. Instead, they focus on how to generate growth for the corporation through acquiring new customers and through engaging in an active and value-creating dialogue with them.How do customer knowledge managers create innovation and growth? Again consider . The book retailer’s customers not only provide their insights, tips and tricks in terms of book reviews, they also provide useful pointers for further reading on a given subject, giving a custom-tailored, non-intimidating impetus for other customers to investigate – and possibly buy – these sources. What is more, this customer knowledge can be shared with the authors of new books, giving them ideas for further publications and their market potential. This process bears all the hallmarks of knowledge management: it provides useful information that is used in actions, creates sense, asks for interpretation, and leads to new combinations. Only, the knowledge is not that of the employee, but that of the customer, leading to value creation through innovation and growth, rather than to cost savings as in traditional knowledge management.CKM in theory and practiceCustomer-driven companies need to harness their capabilities to manage the knowledge of those who buy their products (Baker, 2000; Davenport and Klahr, 1998). The question is, why do many customer-driven companies not access the knowledge of their customers directly? The problem is that the existing mindset, as evidenced by the literature, provides very little assistance to these companies.Traditionally, market research was used to shed more light on what the customer knew and thought about the product, and how this differed from what the company had to afford the customer, resulting in enormous CRM databases (Galbreath and Rogers, 1999; Wilkestrom, 1996; Woodruff, 1997). More recently, firms thought they had found a new approach to access customer knowledge. Drawing on best practices from service companies, such as the1 Alois Zwinggi and Lucas Epple provided this example.big consulting businesses, most large organizations have instituted knowledge management systems. These systems, however, are based in an indirect understanding of what customers want. KM systems are typically geared towards disseminating what their sales force or intermediary has understood from listening to the customers who bought - or didn’t buy - the company’s products.It’s ironic: the conceptual predecessor of knowledge management has surpassed its own offspring. Ten years ago, proponents of the resource based view to strategy have proclaimed that a company be best conceptualized as a bundle of unique resources, or competencies, rather than as a bundle of product market positions (Barney, 1991). More recent contributions to the resource-based view question this one-sided thinking about the locus of competence (Prahalad and Ramaswamy, 2000; Inkpen, 1996). It has now been claimed that such competence actually moved beyond corporate boundaries, and that it is therefore worthwhile to also look for competence in the heads of customers, rather than only in the heads of employees.Similarly, CRM has been traditionally popular as a means to tie customers to the company through various loyalty schemes, but left perhaps the greatest source of value under-leveraged: the knowledge residing in customers. While both KM and CRM focused on gaining knowledge about the customer, managing customer knowledge is geared towards gaining knowledge directly from the customer.Whilst the literature provides little guidance for aspiring knowledge managers, we have found in our research with two dozen companies in e.g. the medical, financial services, measurement, agricultural chemicals, telecommunications, and beverages industries is a wide variety of different approaches to managing customer knowledge. Indeed, the very chasm between the wealth of practical examples of (intuitive) customer knowledge management and the dearth of (explicit) literature and guidance for managers seems remarkable. While we detected a wide variety of different approaches used by companies who manage customer knowledge, what was even more intriguing were the similarities among the individual approaches. We have crystallized these similarities in five styles of customer knowledge management, as displayed in Table 2.Table 2: Five styles of CKMStyle/CharacteristicProsumerism Team-based Co-learning Mutual Innovation CommunitiesFocus Developing tangible assets andbenefits Creating corporate social capital Creating new products &processesMission-specificexpertiseObjective Improved products & resultingbenefits Facilitate team learning fordealing with systemic changeCreate max return from newideasObtain & explicaExpertiseProcesses Pre, -Concurrent- & Postproduction integration Teamwork, empowerment, casedevelopment, quality programsIdea Fairs; Brainstorming;Customer IncubationBest Practices CONetworksSystems Planning, Control and decisionsupp. systems Knowledge sharing systems,Digital “nervous” systems,customer visits in teamsIdea Generation SupportSystemsExpert Systems,workspaces, GroSystemsPerformance Measures Effectiveness & Efficiency,Customer satisfaction & successSystems Productivity, Quality,Customer satisfaction & successROI from new products &processes, Customer successK-sharing behaviof decisions,Rate of hyperlinkCase Examples Quicken; IKEA ; Xerox, Holcim,Mettler ToledoSilicon Graphics, Ryder Microsoft; Sony;Intensity ofinteractionRelatively low Low to high Relatively low Relatively highType ofknowledgeMore explicit Explicit and tacit More tacit More tacit Five styles of CKM and their applicationProsumerismAlvin Toffler (1980) first used the expression “prosumer” to denote that the customer couldfill the dual roles of producer and consumer. Such co-production is not new, e.g. Boschdevelops engine management systems in co-production with Mercedes-Benz, who conceivesand assembles the automobile. What is new is the way that knowledge co-production withthe customer expresses itself in role patterns and codes of interactivity. For example,Quicken enables the customer to learn more about the available resources in financial services, thus creating options and a predisposition within the customer to rapidly tailor-makean offering in the future, also based on creatively suggesting new ideas and benefits.The way IKEA, the living environment furniture retailer, presents itself to customers is all about co-production, about how benefits and activities have been reallocated between producer and customer. The CKM process in IKEA transforms the customer into a co-value creator, endowing him/her with new competencies and benefaction opportunities. It liberates the customer from the platform of only past, accumulated knowledge by stimulating the him with a pattern of open-ended value-creating ideas, thereby effecting co-production and mutual new value evidenced in new IKEA furniture products and services.Team-based co-learningThe way that has manifested itself structurally has created a whole new set of team-based value chain (or systemic) learning relationships utilizing the knowledge of its customers. For example, the inter-linkages with the customer base and their interactive joint learning performance have made the company an attractive channel also for many other companies – we may now conceive no longer as a bookstore but a generalized access channel (or “portal”) for a wide range of products and services, many offered by separate but systemic-linked companies. Through the customer-systemic knowledge and co-learning interactions ’s original identity has been transformed, which in turn implies new value chain systems relationships.The change process in Xerox Corporation, from being a “copying machine company” to becoming the “document company” is similarly based on organizational learning resulting from customer knowledge management. Customer knowledge was the key to reconfigure the entire system of document management and its infrastructure, spanning resources and processes much broader than its own traditional realm of activities. Whereas the Prosumerism CKM style focuses more on co-production of products and services, team-based co-learning focuses on reconfiguring entire organizations and systems of value.Mutual innovationIn the 1970’s, Eric von Hippel found that most product innovations come not from within the company that produces the product but from end-users of the product (Von Hippel, 1977). For Silicon Graphics, lead customers from the movie industry have become an important source of new ideas and innovation. Silicon Graphics sends its best R&D people to Hollywood to learn firsthand what the most creative users of its products might want in the future. In addition, Silicon Graphics nurtures relationships with lead users from otherindustries that require massive computation and high-end graphics – such as for drug design and aerospace landing gear. Just asking these users about their future needs is unlikely to result in new products (although it can lead to continuous product improvement); the major breakthroughs come from mutual and closely integrated innovation practices.Ryder Systems in the trucking industry is another example of utilizing customer knowledge through mutual innovation. In close collaboration with customers it developed complex and extensive logistics solutions to its customers, probing deeply into the operations and even manufacturing and supply chain strategies of customers. Jointly they developed special knowledge of truck driver requirements, thereby reconfiguring truck personnel management activities. Ryder in effect has become, via mutual customer innovation, a logistics systems solutions expert, transcending its identity as a trucking company.Communities of creationCommunities of creation as a CKM style is reflected in the putting together of customer groups of expert knowledge that interact not only with the company, but importantly also with each other (Sawnhney and Prandelli, 2000; Wikstrom, 1996). Similarly to communities of practice, communities of creation are groups of people who first work together over a longer period of time, second they have interest in a common topic and third, want jointly create and share knowledge. Unlike the traditional communities of practice, however, communities of creation span organizational, rather than functional boundaries to create common knowledge and value. In the traditional computer software development process, Netscape and Microsoft make use of free “beta” versions of its products for use, testing, comments and reporting not only to the company, but also among the user community themselves. They enlist thousands of willing, devoted testers, some just interested in using the free “beta” product and others intent on looking for “bugs” to show off and perhaps even collect a prize. Customers appreciate product newsgroups and “chat rooms”, where they can also learn how the companies are acting on their feedback – resulting in loyalty and even a sense of ownership.Sony and Panasonic in the consumer electronics market have set up “antenna shops” at locations such as shopping centers and airports, where demanding customers frequent and prototype products are featured. Customers can experiment, test, and converse with each other, and development engineers and product managers are available to talk to and watch customers, getting first-hand knowledge of customers reactions and what they would reallywant. Another example of a community of creation style of CKM are the Weight Watchers. This company brings groups of customers together in order for customers to exchange knowledge and experience, and for weight watchers to obtain insights for CKM. The important point is that this does not happen in itself – it has to be carefully managed even if participation is voluntary and intrinsic as tends to be the case with Weight Watchers.Joint intellectual propertyThis style of CRM is probably the most intense involvement between customer and corporation – the notion of the corporation being “owned” by its customers. The Swedish companies Skandia Insurance and Kooperativa Förbundet (KF) increasingly think of themselves as businesses owned by customers, i.e. being in business for and because of its customers. Thus, intellectual property does not reside in the company, but is “owned” partly by the customers. This formula enabled KF to make remarkable achievements over a long period of time, becoming a pioneer in customer education and the consumer movement through joint knowledge ownership and its continuous development. Instead of just co-producing products and services together, customers and company co-create future business together. For example, the broker, banking and other retail customers of Skandia combine with the company’s key strategy decision-makers to review the scope of joint business, possible joint new strategic initiatives, and joint knowledge expansion of e.g. emerging markets. Customer success in fact becomes corporate success, and vice versa.Common stumbling blocksCKM can provide a significant competitive advantage to companies, but its possible stumbling blocks have to be appreciated and circumvented. The major stumbling blocks we have identified include:• Application of CKM with an inappropriate mindset, e.g. as a tool for leveraging knowledge from customers, instead of as a long-term customer value-creation mechanism for sustainable mutual growth and performance. Companies have to value and nurture their customers as knowledge partners, instead of knowledge sources, for CKM to be effective.• Underestimating customer diversity, and applying only one or two of the CKM styles exclusively to all types of customers. Customers differ, even in the same industrysegments, and this variety among customers requires a richness of CKM styles with different approaches and techniques.• Inappropriate incentives for customers and organizational entities to leverage CMK to its full potential for both parties. The challenge is both avoiding under-estimation of incentives, as well as over-estimating them. These can work as disincentives if not properly sensed, devised and implemented.• Inadequacies in organizational infrastructure and processes to handle the leveraging of knowledge from customers. Current theory regarding balanced scorecards in organizations emphasize organizational processes to enable customer satisfaction, and the converse should now also be possible---the ability of organizational processes to accommodate diverse customer knowledge inputs.• Falling into the possible ‘trap’ of over-reliance on (existing) customer knowledge (danger of being overly ‘customer-led’ and not broader ‘market-led’), without appropriate sensing of wider environmental impacts and influences.• Trust and protection issues not adequately emphasized, i.e. mutual understanding, reliance and confidentiality must be agreed upon and consistently implemented.Careful consideration has to be given to degrees of openness in sharing of knowledge, and cultural issues of respect, trust and ways of interacting have to adequately co-shaped and optimized.ConclusionCustomer knowledge management (CKM) creates new knowledge sharing platforms and processes between companies and their customers. It is a continuous strategic process by which companies enable their customers to move from passive information sources and recipients of products and services to empowered knowledge partners. Available evidence points to CKM as a potentially powerful competitive tool, contributing to improved success of both companies and their customers. It incorporates principles of knowledge management and customer relationship management, but moves decisively beyond it to a higher level of mutual value creation and performance.It is suggested that the styles of CKM can be prosumerism, group learning, mutual innovation, communities of creativity, and joint intellectual capital. Any company, depending on the nature of its various customers, can apply several of these five styles of CKM simultaneously. Certain cautions have to be observed when applying CKM, and if these are。

不同领域商务英语术语的语言学分析

不同领域商务英语术语的语言学分析

不同领域商务英语术语的语言学分析IntroductionThe language of business has its own specialized vocabulary that is used in different fields. This vocabulary is referred to as business English and it refers to the specialized language used in business transactions, negotiations, presentations, and correspondence. This article will provide a linguistic analysis of the business English vocabulary used in different fields.Marketing EnglishMarketing is a field that involves the promotion and selling of products or services. In this field, business English vocabulary is used to describe products and services, as well as to persuade people to buy them. Some business English vocabulary used in marketing include:1. Branding: this term refers to the process of creating a unique image or identity for a product or service.2. Target audience: it refers to the group of people who are most likely to buy a product or service.3. Market research: this refers to the process of gathering information about the market and competition, in order to make informed decisions.4. Advertising copy: this refers to the words and phrases used in advertising, such as slogans and taglines.5. Sales promotion: this refers to the activities or incentives used to encourage sales, such as discounts, free samples, or loyalty programs.Financial EnglishFinance is a field that involves the management of money, such as investing, budgeting, and accounting. In finance, business English vocabulary is used to communicate financial information and transactions. Some of the business English vocabulary used in finance include:1. Assets and liabilities: these terms refer to the resources owned bya company (assets) and the debts owed by a company (liabilities).2. Profit and loss: this refers to the difference between revenue and expenses.3. Balance sheet: this is a financial statement that shows a company's assets, liabilities, and equity at a specific point in time.4. Income statement: this is a financial statement that shows a company's revenues, expenses, and net income over a period of time.5. Cash flow: this refers to the movement of money in and out of a business, such as cash receipts and payments.Legal EnglishLaw is a field that involves rules and regulations that govern society. In law, business English vocabulary is used to describe legal conceptsand transactions. Some of the business English vocabulary used in law include:1. Contract: this is a legally binding agreement between two or more parties.2. Plaintiff and defendant: these refer to the parties in a legal case, with the plaintiff being the person or organization bringing the case and the defendant being the person or organization being sued.3. Settlement: this refers to a mutually agreed resolution of a legal dispute.4. Liability: this refers to legal responsibility for something, such asa debt or damages.5. Jurisdiction: this refers to the authority of a court to hear and decide a case.ConclusionIn conclusion, business English vocabulary is essential in different fields, such as marketing, finance, and law. The specialized vocabulary used in these fields is important for effective communication and transactions. Understanding the language used in different fields is important for successful business communication and transactions.。

什么是商业模式11

什么是商业模式11

什么是商业模式商业模式应该是互联网兴起之后才大行其道的,自此无人不知,无人不谈,俨然成了包罗万象无所不能的东西,但是公说公有理,婆说婆有理,商业模式到底是什么,俺摘了些前辈大家的说法,大家看看,重要的是谈谈自己的观点哈!一些定义:1、布兹-艾伦&汉密尔顿公司(Booz,Allen&Hamilton)管理咨询顾问艾伯特•维西奥和布鲁斯•巴斯特纳克(Vis cio&Paternack,1996)认为,环境(environment)的变化是引起企业商业模式变化的主要因素。

一个好的商业模式必须包含五个构成部分:•(1)核心观点(global core)。

包括自我定位(identity)、战略领导(strategic lead ership)、核心能力(capabilities)、控制目标(control mission)、资本使命(capi tal mission);•(2)经营单元(business unit)。

•(3)服务项目(services);•(4)治理模式(governance);•(5)系统联系(linkages)。

2、美国波士顿大学管理学院教授文卡特拉曼和亨德森(Venkatraman&Henderson,199 8)认为,知识运用对商业模式具有重要作用,知识需要与其它构成部分配合及整合才能够形成商业模式的架构,包括:•(1)顾客界面(customer interaction);•(2)资源配置(asset configuration);•(3)知识运用(knowledge leverage)。

•(1)产品、服务和信息流的体系结构,包括各种商业行为人和它们的角色的描述。

•(2)各种商业角色的潜在利益的描述。

•(3)收入来源的描述。

提姆斯还认为,商业模式本身并不解释怎样实现商业运作,评估商业的生存能力需要知道公司的营销策略,包括:构建竞争优势,确定市场定位,确定销售组合,制定产品一市场策略。

Google商业模式

Google商业模式
我的合作伙伴是谁我的合作伙伴是谁whomweworkweworkgooglegoogle学校学校政府政府互联网互联网企业企业手机制手机制应用开应用开内容提内容提google商业模式swot分析strengths?全球性的高度市场认知度?全球巨大用户基础?高盈利的广告商业模式?强大技术支持?世界上最大的网络广告商之weakness?现今的商业模式可能会阻碍其网络创新opportunities?对于搜索引擎广告市场的持续挖掘?建立和购买更多盈利的广告媒体如youtube?作为第三方服务的核心打包混搭mashup其资产t务以及更新其商业模式如yahoofacebooktwitter这些都会冲击到google已有的广告模式?对于用户数据的隐私保护?谷歌的背景信息googlesbackgroundinformation?谷歌商业模式分析googlesbusinessmodelanalysis?谷歌对信息技术的应用googlesinformationtechnologyapplications目录content所使用信息技术所使用信息技术用以支撑广告的数据分析技术致力于提供极具实用性和相关性以至于广告本身即可作为一种信息形式的广告
• • • • •
WIKI、论坛等通信服务 无线增值服务 软件与应用 数字内容提供服务 数据储存服务 ……
我们的收入模式 What does our revenue comes from?
收入模式
——广告收入占据了Google收入的绝大部分
Google Revenue Structure(2011)
4% 27%
Google Websites(Ads) Google Network Members' Websites(Ads) Other Revenue
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A Business and Domain Model for Information CommerceMehdi Jazayeri and Ivana PodnarM.Jazayeri@infosys.tuwien.ac.atIvana.podnar@fer.hrTUV-1841-00-02May24,2000Technical University of Vienna Information Systems Institute Distributed Systems GroupThe expansion of the Internet and its use in business and commerce has created a number of new business opportunities and a need for their sup-porting models.One of these opportunities may be classified as informa-tion commerce(i-commerce),a special case of e-commerce focused on the purchase and sale of information as a commodity.I-commerce may also be viewed as a special case of trading of intangible goods[1].In this paper,we present a business and domain model for the emergingfield of i-commerce. The model,called CIP,describes an information marketplace,a virtual environment in which buyers and sellers of information may trade informa-tion products.The purpose of the model is to clarify the issues involved in i-commerce,identify architectural requirements of i-commerce systems, and identify new services needed to support such architectures on the In-ternet.Such models are necessary for understanding and classifying the rapidly increasing information and service providers on the Internet.In-deed,the CIP model may be used to describe the functions and services of many existing and emerging Web-based services.Keywords:information commerce,e-commerce,domain model,business modelc2000,Distributed Systems Group,Technical University of Vienna Argentinierstr.8/184-1A-1040Vienna,Austriaphone:+43158801-4470fax:+4315058453URL:sys.tuwien.ac.at/A Business and Domain Model forInformation Commerce 1Mehdi JazayeriDistributed Systems Group Technical University of Vienna M. Jazayeri@infosys.tuwien.ac.atIvana Podnar2 Department of Telecommunications Faculty of EE and ComputingUniversity of Zagrebivana.podnar@fer.hrAbstractThe expansion of the Internet and its use in business and commerce has created a number of new business opportunities and a need for their supporting models. One of these opportunities may be classified as information commerce (i-commerce), a special case of e-commerce focused on the purchase and sale of information as a commodity. I-commerce may also be viewed as a special case of trading of intangible goods[1]. In this paper, we present a business and domain model for the emerging field of i-commerce. The model, called CIP, describes an information marketplace, a virtual environment in which buyers and sellers of information may trade information products. The purpose of the model is to clarify the issues involved in i-commerce, identify architectural requirements of i-commerce systems, and identify new services needed to support such architectures on the Internet. Such models are necessary for understanding and classifying the rapidly increasing information and service providers on the Internet. Indeed, the CIP model may be used to describe the functions and services of many existing and emerging Web-based services.1IntroductionThe Internet and the Worldwide Web have spurred the generation of a large amount of information and made possible its easy distribution over space, time, and in many forms and modes. But the ease of publishing and the universal availability of information have created several significant problems:•The user is faced with an increasingly large number of information sources•The producers and potential users of information are disconnected with no natural way of finding out about each other•There is no simple way of assessing the dependability of information once it is located. As a solution to these problems we envision an information marketplace, a virtual location where providers offer information and services as goods and customers have the ability to find, evaluate and buy the desired information. In this paper, we present the requirements of such a marketplace by defining the business model that identifies business actors, services provided by specific actors, activities and responsibilities of each actor, actor communication and coordination, and the artifacts produced. The model is focused on information as the commodity being traded. This model helps assess current businesses available on the Web and helps identify requirements for new businesses not yet available.1 This work has been supported in part by the European Commission under contract IST-1999-10288 (OPELIX) as part of the Information Society Technologies programme.2 Ivana Podnar is a visiting researcher at the Distributed Systems Group of the Technical University of Vienna, February 2000 – July 2000.The Internet today represents a primitive instance of an information marketplace: it certainly does provide an environment for the location, distribution and sale of information. But this environment is complex and chaotic: there are an unknown number of actors with unclear responsibilities and new services are being developed and provided without clear concepts and business rules for their performance.There are two approaches to defining a model for an information marketplace. One is to start with current models for the trading of tangible goods. This approach is taken by [1]. The alternative, taken in this paper, is to start with a minimal vision of the requirements of the information marketplace and derive the rules independently of the world of tangible goods. There are two motivations for starting from a clear state: the business rules for information commerce are significantly different from those for tangible goods; and we need to discover new opportunities unencumbered by the restrictions imposed by the rules that are necessary for tangible goods. In section 3, we elaborate on other reasons we have chosen to develop the model without reliance on models for tangible goods.This paper presents a business model for the information marketplace using the modeling language UML [2]. The model defines the goals and responsibilities of information customers, information providers and intermediaries. We therefore call the model Customer-Intermediary-Provider (CIP) model. Intermediaries provide services to both customers and providers and are the central contribution of the model. They locate, filter and combine the provided information and deliver the processed information to customers. The intermediaries add different levels and type of value to the information they receive from the providers.To define a business and domain model for an emerging business is a challenging task. There are no experts to ask and there are no standards but there are systematic approaches that one can follow. We have decided to follow the business modeling approach defined in [3] as a "technique for understanding the business processes of an organization.”The contribution of the paper is in providing a simple model for the emerging information marketplace with the goal of clarifying the significant issues and identifying potential new technical and business opportunities.2Information productsOne of the strongest impacts of the Internet on society has been felt through its ability to make information available rapidly and widely. The worldwide web, which was initially conceived to make it possible for physicists to distribute and share their scientific results, is now the primary means of information communication and access for many. It is this impact that has finally caused an information revolution akin to the industrial revolution. There is little debate about characterizing the western world today as an information society.If we consider the Internet as a platform for the distribution of information products, we can identify a wide variety of such products. Examples of such products are:•Current price of a certain stock: this is a small piece of information that is of value if it is current and accurate and loses its value in a very short time as it becomes commonly available. Its value lasts a very short instance.• A book in electronic form: this is perhaps a large piece of information that may be of value even in smaller granularities. For example, one can imagine buying a single chapter, or even a single paragraph of a book if offered electronically.• A schedule of some type such as for a train or a movie theater: such information is also valid for a limited period of time but longer than a stock price.•An image, a video, or a musical piece: these are perhaps timeless products.•Software programs: these may be viewed as information products that embody algorithms that are able to perform a certain function or service.The common denominator of these products is that they can be represented as bits of data.They are intangible and have no physical presence. Yet, they have intrinsic value and may be traded between producers and consumers just as tangible goods are. For this reason, it isimportant to define a business model for the trading of such information products.3Why start from scratchThere are two approaches to defining a model for an information marketplace. One is to start with current models for the trading of tangible goods. This approach is taken by [1]. Thealternative, taken in this paper, is to start with a minimal vision of the requirements of the information marketplace and derive the rules independently of the world of tangible goods.Starting independently of the existing models helps us avoid the assumptions that are built-in the existing models and may creep into our models unknowingly. Such hidden assumptionsmay become unnecessary legacy requirements. Avoiding such assumptions can help uncover new opportunities that are not possible in the tangible goods domain.Some of the major differences between business requirements for information products and tangible products are:•The principles of creating, printing, storing, copying, distributing, searching, and collating information are significantly different from that for tangible products.•Information products are costly to produce, but cheap to reproduce and distribute; for tangible products, reproduction and distribution costs often overwhelm the cost of theinitial product [4].•Information products may retain their value for a very limited time, even seconds.•Information products may lose their value over time but they may also have programmatic capability to evolve depending on their environment.•Authentication and security issues are significantly different. Theft of a tangible product is rather obvious to the owner but theft of intangible products may remain undetected.•Information products are amenable to automatic processing. Therefore, products may be further processed or combined with other products to produce new products.•Information products may be offered at many levels of granularity (e.g. a single sentence, a paragraph, a chapter, a whole book).The significant differences between information products and tangible products lead us toexpect that a different business model will be needed for information products. Despite the differences, it is possible to envision some products taking on both tangible and intangible forms. For example, books are currently primarily tangible products that are distributed in the familiar printed form but also in audio tape format. Several efforts are underway to make books into intangible products that may be downloaded as bits for a fee. Another example of such transformation from tangible to intangible is a transportation ticket. In the familiar tangible format, a ticket is a piece of paper that entitles the bearer to board a train or an airplane. In intangible form, it is simply a code known to the buyer and the seller. Such intangible "tickets" are now in use by several airlines and train companies. We refer to an information product as anything that can be represented and used as a set of bits.4Business modeling for the information marketplaceDeveloping a business and domain model for an emerging market is a challenging task. Itis certainly not a mechanical activity in which we are looking for a single answer. There are several proposals for approaching this task. We have decided to follow the business modeling approach defined in [3] as a "technique for understanding the business processes of anorganization." In our case "an organization" is the information marketplace. The steps in this approach are:1.Identify use cases in order to understand the context,2.Describe each use case by identifying actors, artifacts, and activities,3.Derive a domain model from use cases.Use cases and use case diagrams are used for modeling the behavior of the system [2]. A use case diagram shows a set of use cases and actors, and their relationship. In the first step of the approach we employ use case diagrams for modeling the actors participating in business processes of the information marketplace, and their relationship.The second step of the approach carefully investigates each use case. In this step a use case is described by a set of participating actors, a set of produced and used artifacts, and a sequence of performed activities. We use UML activity diagrams for modeling a number of possible activity sequences that form the information marketplace business process.In the third step, the domain model is created on the basis of the results of the previous two steps. The domain model defines the entities involved in the business processes, and their relationship. The domain model is usually presented as a class diagram, where classes model actors and artifacts, and activities are transformed into methods. We use the domain model for describing the structure of the information marketplace. The CIP model consists of both the structure and the business process description. We consider it a business model because it contains both structure and functionality descriptions.We present the CIP model use case diagram, use case descriptions, and the domain model in the sequel.4.1Use case diagramThe first step of the modeling approach is the identification of actors who participate in the process of creating, distributing, and purchasing information over the Internet. By examining the simplest transactions on the Internet that may be characterized as activities in the information marketplace, we can identify a customer looking for a product and a provider that offers that product. The simple use case diagram relating the customer and the provider is shown in Figure 1. The two actors are the minimum number of actors needed to perform a transaction. We have identified two use cases that model the interactions between the actors: find a provider and supply product. These use cases model the minimum set of activities needed to enable a transaction. This use case diagram describes how the Web was used in itsFigure 1. Use case diagram relating customer and providerAs the Web grew, both in the number of customers and in the number of providers, the activity "find a provider" grew in complexity. It used to be possible to remember the addresses of providers or write them in a notebook. Bookmarks served this purpose adequately for a while. To deal with the overwhelming increase in the number and variety of providers, a number of services and websites appeared that help the customer in finding providers. Search engines and portals are the best examples of such services. To take into account the key role of such sites in the interactions between customers and providers, we model another actor called intermediary and show the relevant use case diagram in Figure 2.IntermediaryFigure 2 Use case diagram relating customer, provider, and intermediaryFinding a provider is only one of the services an intermediary may perform. We envision the emergence of new intermediary services that will become part of the information marketplace business processes. The use case diagram in Figure 3 models such a situation. It relates a customer, a provider, and an intermediary performing a generic service. The diagram describes the business processes of the information marketplace at a high level of abstraction. It can be used to describe the transactions that are currently performed on the Web, as well as future, yet non-existing services. The intermediary is a central figure in this environment, offering services to both customers and providers. At this point we will not describe any particular service. A number of potential services are presented in section 5. But first weFigure 3 Use case diagram of the CIP modelThe CIP model, as its name suggests, is based on the three actors that participate in the business processes of the information marketplace. These are customer, provider, and intermediary. The customer is an individual or an organization that requires a particular information product. The provider produces information products and sells them as a commodity. The intermediary is an organization offering services to both the customer and the provider.We have identified the following use cases relating the customer, the intermediary, and the provider:1. Supply product,2. Find provider,3. Find intermediary, and4. Perform service.The central use case is Supply product. It describes the basic activities of requesting, offering, ordering, and delivering an information product. Customer and provider, orintermediary and provider participate in this use case, since intermediary can also act as a customer. Supply product, therefore, describes the negotiating and purchasing activities between customer and provider, or intermediary and provider.The use case Find provider models activities that enable an intermediary to locate a provider who offers an information product complying with specific intermediary needs. The use case takes into consideration that the either the intermediary or the provider can initiate the business process. In other words, an intermediary can initiate the search for the provider, or the marketing efforts of the provider can induce the business relationship. The identification of the provider is a prerequisite for subsequent negotiation, order, and delivery of an information product and Find provider is therefore included in the Supply product use case.The use case Find intermediary describes activities that enable a customer to locate an intermediary offering a desired service.The use case Provide service is a generic use case describing a service an intermediary provides to its customers.4.2Description of use casesThe second step of the modeling approach is to develop a detailed description of the listed use cases. For each use case, we need to define the participating actors, produced and used artifacts, and performed activities.Supply product describes the basic activities of requesting, offering, ordering, and delivering an information product. We assume that both the customer and the provider can initiate the business process. The customer starts the process by sending a request to the previously located provider, while the provider can initiate it by sending an offer to the customer.Actors participating in the use case are the customer and the provider, or the intermediary (acting as a customer) and the provider. The difference between the customer and the intermediary, in this case, is in the purpose of obtaining the required information product. The intermediary uses the product for the subsequent business activities that provide information marketplace specific services. The customer, on the other hand, needs the information product for satisfying its goals, but its subsequent activities are not part of the marketplace-related activities.Artifacts that are produced, modified, or used during the use case are the following:•Request – customer initiates a request for a product by sending it to provider,•Offer – provider answers the request by creating an offer,•Order – customer places an order if it is satisfied with the offer, and•Product – provider delivers the product to the customer.The activity diagram in Figure 4 describes the business process performed during the Supply product use case when the customer or the intermediary initiates the business process. It models the flow of activities of both the customer and the provider, and the result of these activities through object states.The customer initiates the process by sending a request for information to the provider. We assume that the provider has been located previously, i.e. its identity is known and has been authenticated. After receiving the request, the provider analyzes it and can choose to create an offer or to reject the request.After analyzing the offer, the customer can choose to accept or reject it. If the customer rejects an offer, the provider can either modify it, or stop the business process.In the case the offer is acceptable, the customer places an order and waits for product delivery from the provider. The provider can, at this point, create the ordered informationproduct and deliver it to the customer. Subsequent activities of receiving a product and billing a customer may be performed in parallel. Their completion invokes the process of payment.Figure 4 Activity diagram of the Supply product use case(customer initiates the business process)A provider can also initiate the process. In this case, the provider sends an offer to the customer who analyzes it and chooses either to accept or to reject it. The activity diagram for this case comprises similar activities to those presented in Figure 4, and is therefore omitted. Find provider models the activities that enable an intermediary to locate a provider offering information products that comply with intermediary needs.Actors participating in the use case are the intermediary and the provider. The intermediary looks for an adequate information provider, while the provider advertises its products. Artifacts that are produced, modified, or used during the use case are the following:•Request – specifies intermediary requirements regarding the needed information product, and•Offer – specifies information products offered by the provider.Request and offer are artifacts previously mentioned in the use case Supply product. The two artifacts are used for matching intermediary request to particular provider products. AFigure 5 Activity diagram for the Find provider use caseIn this use case the intermediary tries to locate an adequate information provider. There are two possibilities for obtaining information about potential providers: by querying a number of potential providers or by receiving advertisements (offers) describing provider products. After obtaining the information about existing providers, the intermediary analyzes the collection and chooses the one for the business relationship. The described principle of locating the provider is depicted in Figure 5. The diagram shows the parallel flow of activities for both the intermediary and the provider. The intermediary can send requests to a number of potential providers, and in parallel receive and analyze incoming offers before choosing the provider for the business relationship. While advertising its products, the provider can send offers to a number of potential customers, and at the same time analyze incoming requests. The activity diagram is left incomplete because the subsequent activities are part of the Supply product use case.Find intermediary models the activities that enable a customer to locate an intermediary offering services that comply with customer needs.Actors participating in the use case are the customer who looks for an adequate intermediary, and the intermediary advertising his services.The process of locating an intermediary should be a simple activity if we assume that a successful intermediary creates a well-known trusted “brand” name. The process of finding an intermediary should be simpler than the process of locating a provider, and the number of intermediaries offering services on the Internet should be fewer then the number of information providers.Provide service describes activities that enable an intermediary to provide a number of services to customers. Actors participating in the use case are the intermediary and the customer. The intermediary offers services to the customer and acts as a link between the customer and the provider. The customer requests a specific service from the intermediary. This use case is generic and can not be described in detail since each service brings its own requirements and particularities.4.3Domain modelThe third and final step in business modeling process is to derive a domain model represented as a class diagram. The class diagram that represents the domain model of the information marketplace is given in Figure 6. It is created using the actors, artifacts and activities identified during the previous step of use case description. We define the Business Relationship class as an aggregation of actors and electronic documents that are exchanged among the actors.Customer, intermediary, and provider, the actors of the information marketplace, are modeled using the role pattern defined in [4]. The role pattern models a player (actor in our case) with changing roles. The Actor class in the class diagram models an organization or a person taking different roles. Real roles of the information marketplace are modeled as Customer, Intermediary and Provider classes. They inherit the properties of Role, which iscreate( )analyze( )reject( )close( )create( )payBill( )compareOffers( )modify( )provides1..*The association between Intermediary and Service describes the basic characteristic of an intermediary: providing a service. Service inherits the properties of Product. However, Product operations need to be overridden in Service, since the processes of creating and modifying a service are quite different from those for creating and modifying a product.5The many faces of the intermediaryThe key actor in the CIP model is the intermediary. Search engines are perhaps the easiest example of intermediaries: they help customers find providers. Portal sites are another kind of intermediary: they classify the providers and help the customer's search based on the classification. But we can imagine many other services that may be performed by intermediaries. Indeed, an unlimited number of intermediaries may exist, each adding value to an information product in some way. With tangible products, each intermediary adds cost to the production and delivery costs of the end-product and, as a result, we tend to avoid introducing a large number of intermediaries. In the intangible goods marketplace, however, intermediaries add value without necessarily adding cost or delivery delays. From the customer's point of view, an intermediary is just a provider. From the point of view of the provider, an intermediary is a customer or a partner. This view is determined by how they arrange their business relationships.By concentrating on the role of the intermediary, we can identify a number of services that either exist today or may be offered as new businesses. To help analyze intermediary services further, we can classify intermediaries in terms of their services. We have defined the following classes of intermediaries in our model:•Classifying (offered by portals): these intermediaries provide a classification of available providers.•Filtering: these services provide a refined view of existing providers. For example, a digest service could provide a summary of information from other sites or a specialization service could provide specific information available from many providers (e.g. all performances of a particular symphony by Beethoven).•Qualifying: these intermediaries could provide a qualification service. For example, a particular service could be to rate the reliability of information products available from other providers. Such a service could be used by customers to choose what providers they use and by providers to improve their services.•Authenticating: these intermediaries could authenticate the identities of customers and providers.•Combining: these intermediaries could combine the information products available from other providers. For example, an "evening planning service" could provide information about the starting time of an opera performance, the traffic conditions around the theater, and recommended restaurants.•Brokering (offered by search engines): these intermediaries help customers and providers find each other.•Mediating: These intermediaries help customers and providers transact a business. For example, a mediator could offer anonymous transactions so that the customer and the provider do not learn one another's identity. The difference between a broker and a mediator is that the broker helps in identifying customers and providers but the mediator helps in carrying out the process of a transaction between a customer and a provider.Each intermediary provides a specific service that can be described by applying the modeling approach presented in section 4. For example, the use case diagram in Figure 7 depicts the service of combining information products. It is a special case of the generic use。

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