联系我们

论文查询结果	返回搜索

论文编号：	4931
作者编号：	1120070761
上传时间：	2012/12/26 10:20:21
中文题目：	基于云计算的企业竞争情报服务模式研究
英文题目：	Research on Enterprise Competitive Intelligence Service Model Based on Cloud Computing
指导老师：	刘玉照
中文关键字：	云计算 竞争情报服务 服务平台 服务体系 服务模式
英文关键字：	Cloud Computing; Competitive Intelligence Service; Service Platform; Service System; Service Mode
中文摘要：	云计算是新型网络运算模式，能够低成本高效率地向各种网络应用提供计算、存储、网络、软件的资源共享与服务，是分布式计算、并行计算和网格计算发展的新阶段，现已无可争议地成为计算机科学发展趋势之一。云计算的兴起及其具备的高扩展性、高可靠性、按需服务、价格低廉、使用简便的五大优势为组织竞争情报服务提供了最先进的技术手段和新的解决方案，为实现组织竞争情报服务的集成动态管理提供了可能。借助云计算，组织各类信息资源能够快速、可靠、安全地统一部署在云平台，形成信息基础设施（硬件、平台、软件）和相关服务的多种形式的虚拟化资源池，并以统一的界面动态智能地提供竞争情报服务；借助云计算，组织能够整合竞争情报人员、技术、组织环境、工作流程等为一体，促进组织信息交流与知识共享；借助云计算，组织能够构建个性化、主动化和一体化集成创新的竞争情报模式，更为有效地开展竞争情报工作，提高决策精准度，取得竞争优势。云计算时代，组织竞争情报服务将日益走向社会化、集约化和专业化，因此，构建一个基于云计算的企业竞争情报服务平台及其相应的组织环境和运行机制是知识经济时代竞争情报发展到一定阶段的必然趋势。本文的研究正是基于云计算的技术的兴起与蓬勃发展和竞争情报实践在企业进一步开展的时代背景，对国内外相关文献和学术前沿观点进行了系统地归纳、总结和梳理，在对企业竞争情报服务工作的现状及需求进行问卷调查和深度访谈等实证分析的基础上，通过原型实现与案例研究，旨在探索性地研究与构建一个基于云计算的企业竞争情报服务的理论模式。该项研究对于相关学科的理论体系是一次重要的补充与完善，为相关学科的理论研究与应用实践提供了重要基础与借鉴，对于把握未来企业竞争情报服务实践的发展方向与创新具有重要的指导作用，并为云计算在全社会各领域的实践与推广应用起到启发和推动作用，具有较强的创新性和较高的理论意义和实践价值。论文以云计算与竞争情报服务的结合为切入点，遵循从理论研究到实践应用的研究思路，即以系统的观点，通过跨学科的研究方法，借鉴计算机软件工程规范的研究与设计方法构建理论模式并应用计算机仿真模拟及在企业实际组织环境中的案例研究加以验证。第一，进行总体规划。对企业竞争情报的现状进行调查分析，在此基础上，展开可行性研究与需求分析，设计服务模式的总体框架，分析总体框架中的关键因素，然后对服务模式的各构成要素分别进行详细设计；第二，技术平台研究。应用计算机科学和云计算的理论和技术对服务模式中的技术平台进行研究与设计；第三，在所构建云计算平台之上研究与设计竞争情报服务模式；第四，应用管理科学的理论方法研究与构建云竞争情报服务平台所需的组织架构；最后，应用计算机仿真模拟方法设计实现了一个云竞争情报服务平台原型，并选取典型企业进行案例研究，对理论模式进行初步验证。本文共由八章组成，具体章节内容安排如下：第一章，绪论。本章主要介绍研究背景、研究目的与意义、研究内容与论文结构、研究方法与创新点等。着重指出开展基于云计算的企业竞争情报服务模式研究是云时代竞争情报研究与实践发展到一定阶段的必然结果。第二章，理论回顾与文献综述。本章回顾了云计算、竞争情报服务等理论，对国内外相关研究现状进行了梳理与综述，分析了现有研究的贡献与不足。第三章，基于云计算的企业竞争情报服务模式的框架设计。通过问卷调查与深度访谈对我国企业竞争情报服务的现状与需求进行调查与分析，提出本研究的必要性和可行性。在对云计算和企业竞争情报服务进行分析的基础上，应用跨学科研究方法，构建基于云计算的企业竞争情报服务模式的总体框架。第四章，云竞争情报服务平台的构建。应用计算机科学和云计算的理论和技术对云竞争情报服务平台进行研究与构建。对当前主流云计算体系架构和技术平台进行了全面梳理和比较分析，结合企业竞争情报服务的功能特点，对面向个性化服务的云竞争情报服务平台的架构进行设计。包括总体体系架构设计、网络架构设计、信息安全体系设计等。第五章，基于云计算的企业竞争情报服务模式的内容。分析了云竞争情报服务平台上企业竞争情报服务的特点与目标，提出构建云环境下面向个性化竞争情报服务的一站式集成服务模式，即：服务要“以用户为中心”，用户对资源和服务的定制和获取是无缝的和透明的，用户能够基于网络泛在、快速、动态、弹性、低价、按需计量地使用竞争情报云服务并获取所需的竞争情报资源与服务。本章在研究分析竞争情报服务传统模式的基础上，从交互的角度把云环境下竞争情报服务模式划分为三类：个性化竞争情报服务（自助服务）、协同数字参考咨询服务（一对多服务）、专家咨询（一对一服务）并分别进行了深入探讨。第六章，基于云计算的竞争情报服务模式的组织架构。竞争情报服务是在一定的组织结构和制度环境下开展的，本章对模式所需的组织环境与运行机制进行了研究。第七章，案例研究。采用主流云计算开源软件HADOOP、HDFS、MAPDUCE搭建云计算平台并部署竞争情报服务的应用，在企业实际环境中进案例研究以初步验证本文所提出的理论模式。第八章，研究结论与展望。本章归纳了主要研究结论，分析了研究存在的不足，并针对研究存在的局限性，提出了未来的研究方向。本文的创新之处在于：第一，借助云计算技术，构建了人员、技术、组织环境的有机整合和综合集成的基于云计算的企业竞争情报服务模式的理论架构。论文在云计算和竞争情报理论最新研究成果和实践基础上，研究与设计了一个通用的基于云计算的竞争情报服务模式的总体框架，并且分别对该模式的技术平台、组织环境、模式内容进行了研究与详细阐述。该模式能够实现人员、技术、组织环境各要素的合理组合和有机集成，为企业进行竞争情报服务提供了一个先进、廉价高效、可操作的完整框架，能够帮助企业最大限度地提高竞争情报工作效率，最终实现面向个性化服务的竞争情报服务模式。是对竞争情报服务的技术、方法、实践方面的全面创新，具有较高的理论意义和实践价值。第二，构建了云竞争情报服务平台。根据云计算环境下企业竞争情报服务的功能特点，结合云计算主流体系架构和商业平台，对云竞争情报服务平台进行研究和构建。第三，构建了基于云计算的企业竞争情报服务模式的内容。综合运用云计算、竞争情报和管理科学的相关理论，在对基于云计算的企业竞争情报服务模式的特点和目标进行分析的基础上，构建了基于云计算的竞争情报服务模式的具体内容。第四，构建了基于云计算的竞争情报服务模式的组织架构。基于云计算的竞争情报服务模式的顺利实现和有效运作需要相应的组织环境和配套运行机制，本文对其分别进行了深入研究与设计。第五，进行了案例研究。采用主流云计算开源软件构建了基于云计算的企业竞争情报服务模式的原型，部署竞争情报服务应用，选择典型企业ABC集团公司进行了案例研究。这种研究方法和构建技术是对竞争情报研究与实践的创新，也是云计算研究与实践的深化。另外，本文所提出设计方案和框架是通用架构，能够无缝移植到其他领域的云计算应用。
英文摘要：	Cloud computing is a new network calculation mode. It is the further development of distributed computing, parallel computing and grid computing. Based on the internet computing, it serves as a system that provides hardware services, infrastructure services, platform services, software services and storage services to a variety of Internet applications. This is beneficial for enterprises to set up competitive information services, resources sharing and collaborative applications with lower cost and higher efficiency, thus making it one of the tendencies of computer science. The rise of cloud computing and its five major advantages, namely, high scalability, high reliability, on-demand service, low cost and easy to use, provide enterprises competitive intelligence service with the most advanced technical means and new solutions which have been adapted to competitive intelligence; therefore, it is possible to achieve the competitive and dynamic management of the competitive intelligence service in different organizations. With the aid of cloud computing, organizations can carry out fast, reliable, safe and unified deployment on the cloud platform, so as to form a virtualized resource pool, with regard to information infrastructure (hardware, platform, software) and related services in various forms, and to provide competitive intelligence services through the unified user interface dynamically and intelligently. With the aid of cloud computing, organizations can integrate personnel, technology, organizational environment and the working process to promote information exchange and knowledge sharing. By virtue of cloud computing, organizations can build a new competitive intelligence mode, which is personalized, proactive, integrating, innovative and integrative. This is beneficial for competitive information work and decision making. In the era of cloud computing, organizational competitive intelligence services will develop towards socialization, intensification and specialization; therefore, to build a cloud-based competitive intelligence service platform as well as its organizational environment and operating mechanism is the inevitable tendency of the development of competitive intelligence in the epoch of knowledge-based economy. Based on the background that cloud computing technology has risen and developed and that the competitive intelligence has been further practiced in enterprises these years, this study will explore the practice of cloud computing technology in the field of enterprise competitive intelligence. By virtue of the technical advantages of cloud computing, various research methods will be employed including literature analysis, comparative study, survey, computer simulation and case study, aiming to explore and establish a specific enterprise competitive intelligence service mode based on cloud computing. The study plays a key role in grasping the direction of future enterprise competitive intelligence practice and promoting the practice as well as application of cloud computing. The dissertation starts with the conjunction of cloud computing and competitive intelligence service, following the pattern that processes from theoretical research to practice and application. It draws upon an interdisciplinary research methodology and with the aid of research and design methods of standardized computer software engineering constructs a theoretical model and verifies it by employing computer simulation. Firstly, the overall planning. It deals with investigating and analyzing the status of enterprise competitive intelligence, and on this basis, carrying out the study of feasibility and the analysis of demand, designing the overall framework of the service mode, analyzing the key factors in the overall framework, and then designing respectively various constituent elements of the service mode in detail. Secondly, the research on technology platform. With the aid of computer science and technology as well as theory and technology of cloud computing, the dissertation studies the technology platform in service mode and designs an overall architecture. Thirdly, it studies and designs an innovation model of competitive intelligence service upon the cloud computing platform. Fourthly, it studies and builds an organizational framework in conjunction with a cloud competitive intelligence service platform by virtue of the theory and method of management science. Lastly, it designs a prototype of cloud competitive intelligence service platform by using the computer simulation technology and verifies the theoretical pattern by conducting case study on typical enterprises. This dissertation consists of eight chapters. They are organized as follows: Chapter I is the Introduction. It deals with the background, significance, content, innovation, and methodology of the research as well as the dissertation framework, pointing out that conducting the studies on enterprise competitive intelligence service mode based on cloud computing is the inevitable result of the development of studies and practices on the competitive intelligence in cloud era. Chapter II is concerned with theory and literature review. It reviews the theories of cloud computing, competitive intelligence and service mode, synthesizes both domestic and foreign researches on this issue, and analyzes the contributions as well as inadequacy of the existing researches. Chapter III is about the design of the framework of cloud-based enterprise competitive intelligence service mode. Through questionnaires and interviews on the status and needs of enterprise competitive intelligence in our country, necessity and feasibility will be presented after some investigations and analyses. Based on the analyses of cloud computing and enterprise competitive intelligence and interdisciplinary research methods, this research will look into the constituent elements of the cloud-based enterprise competitive intelligence service mode, and then construct the overall framework of the cloud-based enterprise competitive intelligence service mode. Chapter IV is dedicated to the construction of the service platform of cloud-based competitive intelligence. Research and design of technology platform in the service mode will be carried out with the aid of theory and technology of computer science and cloud computing. Firstly, comprehensive and comparative analysis will be carried out on the mainstream cloud computing architecture and platform. Then, in conjunction with functions and features of the enterprise competitive intelligence service, the architecture of the technology platform for personalized service will be conducted, including the overall architecture design, network platform design and security architecture design. Chapter V deals with the content of cloud-based enterprise competitive intelligence service mode. This chapter analyzes the characteristics and target of enterprise competitive intelligence service in the cloud computing environment and proposes that the ideal enterprise competitive intelligence services in the cloud computing environment should be framed in a personalized, one-stop integrated service mode. In other words, the services should be "user-centered". The user can not only custom-tailor and obtain the resources and services seamlessly and pellucidly but also use competitive intelligence cloud services in a fast, dynamic, flexible, low-cost and on-demand manner. This chapter examines various traditional models of competitive intelligence services. From the perspective of interactive cloud environment, competitive intelligence service mode can be divided into three categories: personalized competitive intelligence service (self-service), collaborative digital reference consulting service (one-to-many service ), and expert consulting service (one-to-one service), each of which will be discussed in-depth. Chapter VI is concerned with the organizational framework of cloud-based competitive intelligence service mode. Competitive intelligence service is carried out in certain organizational structure and institutional environment. This chapter studies the organizational environment and operating mechanism of enterprise competitive intelligence service mode. Chapter VII focuses on case study. Softwares such as HADOOP, HDFS and MAPDUCE are used to construct a cloud computing platform and deploy the application of competitive intelligence service. Computer simulation and case studies are conducted in the actual enterprise environment to verify the theoretical mode put forward in this dissertation. Chapter VIII is dedicated to conclusions and prospect, summarizing the main conclusions, analyzing the inadequacy of the study, and putting forth the directions for future studies. The innovations of this dissertation lie in: Firstly, with the aid of cloud computing technology, the study constructs the organic integration of people, technology, and organizational environment, and a theoretical framework of enterprise competitive intelligence service mode. On the basis of the latest researches and practices of cloud computing and competitive intelligence theory, the dissertation shapes an overall framework of a common competitive intelligence service mode. This model provides enterprise competitive intelligence service with an advanced, low-cost, efficient, operational and complete framework and hence helps companies to maximize the efficiency of competitive intelligence, and ultimately formulates an innovation model which provides personalized competitive intelligence. In short, it is a comprehensive innovation of competitive intelligence service with regard to technology, methodology and practice and is therefore of theoretical significance and practice value. Secondly, the study constructs a platform of competitive intelligence service. In accordance with the functional features of enterprise competitive intelligence service in the cloud computing environment and in conjunction with cloud computing mainstream architecture and commercial platform, the dissertation studies and constructs cloud competitive intelligence service platform. Thirdly, it constructs the content of the cloud-based enterprise competitive intelligence service mode. By using related theories of cloud computing, competitive intelligence and management science, and on the basis of analyzing the characteristics and objectives of cloud-based enterprise competitive intelligence service mode, the study constructs the specific content of the cloud-based competitive intelligence service mode. Fourthly, the study shapes the organizational framework based on the competitive intelligence service mode. The smooth realization and effective operation of cloud-based competitive intelligence service mode require appropriate organizational environment and supporting operational mechanism, both of which are studied in-depth. Fifthly, it conducts case study. It constructs the prototype of cloud-based competitive intelligence service mode by employing the mainstream cloud computing softwares, deploys applications of competitive intelligence service, and conducts case study on a typical enterprise ABC company. This research method and technical construction technology are not only an innovation of competitive intelligence research and practice, but also a promotion of the research and practice of cloud computing. In addition, the plan and framework of the design put forward in this dissertation is general and therefore can be transplanted seamlessly to the cloud computing of other areas.
查看全文：	预览  下载(下载需要进行登录)