dc.contributor.advisor | 楊亨利 | zh_TW |
dc.contributor.advisor | Yang, Heng-Li | en_US |
dc.contributor.author (Authors) | 唐日新 | zh_TW |
dc.contributor.author (Authors) | Tang, Jih-Hsin | en_US |
dc.creator (作者) | 唐日新 | zh_TW |
dc.creator (作者) | Tang, Jih-Hsin | en_US |
dc.date (日期) | 2002 | en_US |
dc.date.accessioned | 18-Sep-2009 14:21:34 (UTC+8) | - |
dc.date.available | 18-Sep-2009 14:21:34 (UTC+8) | - |
dc.date.issued (上傳時間) | 18-Sep-2009 14:21:34 (UTC+8) | - |
dc.identifier (Other Identifiers) | G0087356501 | en_US |
dc.identifier.uri (URI) | https://nccur.lib.nccu.edu.tw/handle/140.119/35173 | - |
dc.description (描述) | 博士 | zh_TW |
dc.description (描述) | 國立政治大學 | zh_TW |
dc.description (描述) | 資訊管理研究所 | zh_TW |
dc.description (描述) | 87356501 | zh_TW |
dc.description (描述) | 91 | zh_TW |
dc.description.abstract (摘要) | 在傳統資訊系統開發過程中,需求分析通常被視為非常關鍵的步驟。但在Web-based的資訊系統開發中,需求分析卻很少被提及。這篇論文提要主要強調傳統資訊系統與Web資訊系統的差異,並提出一個社群導向系統的需求擷取架構。這個架構將需求擷取分成三個階段:初步分析、關鍵使用者需求分析以及一般使用者的反應。目前Web的開發技術以及社群設計的方法,通常只做初步分析,在系統開發過程中並不直接蒐集使用者的需求。本文提出的三階段架構強調關鍵使用者的重要性,並建議採用社會網路分析作為辦識關鍵使用者的工具。關鍵使用者區分為資訊、溝通、交易以及娛樂四大類別。初步預試這四種不同類別的關鍵使用者是否會產生較多該類別的資訊需求,以及是否產生較多的需求總數。結果發現只有資訊的關鍵使用者產生較多的資訊需求以及總需求,而其他類別的關鍵使用者與產生需求數量上的關係都不顯著。而另一項有趣的發現是:20%資訊關鍵使用者可以產生大約80%的需求總數,與Pareto規則的預測相似。資訊關鍵使用者的意見是否可以代表全體的意見,預試的結果顯示80%以上的需求重要性評估,關鍵使用者與全體的意見沒有顯著差異。實地研究採用則探究兩個線上社群,一為關係導向社群,另一則為興趣社群,用以探索使用者角色,涉入程度以及需求知覺間的關係。多變量共變數分析的結果顯示:去除涉入程度的影響後,使用者角色會顯著影響使用者對於需求的知覺,雖然影響的方式以及程度並不相同。高涉入的使用者對於需求的敏銳度,普遍比低涉入者需求要高,並不因為需求種類而有所不同,最後並討論管理的意涵以及日後的研究方向。 | zh_TW |
dc.description.abstract (摘要) | Although the requirement analysis is generally considered a critical stage in traditional information systems development (ISD), but it does not get enough attention in most Web-based information systems development (WISD) or the emerging community-oriented design. The thesis highlighted the difference between ISD and WISD, and proposed a three-stage model of user requirements elicitation for community-oriented design. This model divides the requirements definition in three stages: initial analysis, key user requirements elicitation, and regular user responses. Most current WIS and community design methodologies consider only initial analysis or attempt to build common system architecture, and neglect actual users’ requirements. Key user input is emphasized in this model, and social network analysis (SNA) is proposed as a tool for identifying key users.The pilot study empirically tested the relationship between the number of key users and that of elicited requirements. The study applied SNA to identify key users (defined as their influence) in “information”, “purchase”, “communication” or “entertainment” networks, and then elicited their requirements of two WIS. The preliminary results demonstrated that the number of key users in “information” dimension was significantly correlated with the numbers of elicited “information” requirements and overall requirements. However, the number of key users in “purchase”, “communication” and “entertainment” dimension had no significant relationships with the number of the elicited requirements. The requirements collected from 20 percent of “key users” accounted for approximate 80 percent of total requirements, similar to the results predicted by Pareto’s rule. In addition, the representativeness of requirements from key users opinions was also tested. Two online communities were designed to explore the relationship between user roles, user involvement and users’ perception towards requirements. And the MANCOVA results showed that user role (with user involvement as a blocking variable) has a major impact on an individual’s perception towards requirements, though the difference varies in a certain way. User involvement has also a determining effect on a user’s perception toward each type of requirements. Managerial implications were also discussed. | en_US |
dc.description.tableofcontents | CONTENTSLIST OF TABLES VILIST OF FIGURES VIIABSTRACT VIII中文摘要 XCHAPTER 1 INTRODUCTION 11.1 RESEARCH BACKGROUND 11.2 RESEARCH MOTIVATION 21.3 RESEARCH OBJECTIVES 31.4 RESEARCH QUESTIONS AND SCOPE 31.5 RESEARCH SCOPE AND LIMITATIONS 31.6 THESIS ORGANIZATION 3CHAPTER 2 LITERATURE REVIEW 52.1 PHILOSOPHICAL FOUNDATION FOR INFORMATION SYSTEMS DEVELOPMENT 52.2 REQUIREMENTS ANALYSIS 112.3 DIFFERENCE BETWEEN WIS AND CONVENTIONAL IS 132.4 DIFFICULTIES ON WIS REQUIREMENTS ELICITATION 142.5 FORMER APPROACHES TO WIS REQUIREMENTS ELICITATION 162.6 REQUIREMENT ANALYSIS METHODS 172.6.1 Card Sort 182.6.2 Scenario Analysis 182.6.5 Some Ad Hoc methods 192.7 THE EMERGENCE OF COMMUNITY-ORIENTED DESIGN 192.7.1 The Definition of Virtual Community 202.7.2 Online Community as a WIS 222.7.3 Design an online community 242.8 INTRODUCTION TO SOCIAL NETWORK ANALYSIS 262.8.1 Sociometric Analysis 262.8.2 Key Concepts 282.8.3 Social Network Analysis in Management Literature 30CHAPTER 3 THE GENERAL WIS MODEL 313.1 USER CLASSIFICATION 313.2 THREE-STAGE MODEL DESCRIPTIONS 33Stage I Initial Analysis 34Stage II Key User Requirements Elicitation 35Stage III Regular User Responses 363.3 IDENTIFYING KEY USERS BY SOCIAL NETWORK ANALYSIS 363.4 ASSUMPTIONS 41CHAPTER 4 PRELIMINARY STUDY 444.1 USER REQUIREMENTS QUESTIONS: GENERAL AND MANY 444.2 THE WIS USAGE DIMENSIONS 464.3 THE PROBLEM OF FINDING KEY USERS 484.4 RESEARCH HYPOTHESES 504.5 RESEARCH METHOD 524.5.1 Study materials 534.5.2 Phase I 534.5.3 Requirements Classification and Summation 544.5.4 Phase II 554.5.5 Measurement of Network Centrality 554.5.6 Perception of Web Site Orientation 564.5.7 Rating on Requirement Importance 564.6 RESULTS AND DISCUSSIONS 564.6.1 Basic Statistics 564.6.2 Individual Centrality vs. Elicited Requirements 574.6.3 Relationship between Key users and Elicited Requirements 594.6.4 Representativeness of the Key Users 604.7 CONCLUSIONS AND SUGGESTIONS 61CHAPTER 5 FIELD STUDY DESIGN 625.1 RESEARCH MODEL 625.2 RESEARCH PROCEDURES 655.3 MEASUREMENT OF THE CONSTRUCTS 685.4 THE SELECTION OF FIELD SITES 69CHAPTER 6 FIELD STUDY RESULTS 716.1 RESULTS FROM A RELATIONSHIP COMMUNITY: CASE I 716.1.1 Outcomes from the first questionnaire: member candidates and requirement lists 716.1.2 Outcomes from the second questionnaire: roles, involvement and perceptions 726.1.3 Relationship between User Roles and Perceptions towards Requirements 736.1.4 Hypothesis Testing: MANCOVA Results 746.1.5 User Satisfaction 756.2 The results from a community of practice: Case II (藍色小舖) 766.2.1 Outcomes from the first questionnaire: member candidates and requirement lists 766.2.2 Outcomes from the second questionnaire 766.2.3 MANCOVA Results: Role, Involvement and Perceptions toward Requirements 806.2.4 Relationship between User Roles and Perceptions towards Requirements 806.2.5 Results from SQL board & Script board 836.2.6 Summaries of these two field studies 84CHAPTER 7 CONCLUSION AND DISCUSSIONS 867.1 RESEARCH FINDINGS 867.2 MANAGERIAL IMPLICATIONS 877.3 RESEARCH LIMITATIONS 88REFERENCES 91APPENDICES 101List of TablesTable 2-1 Comparison of traditional IS and WIS users 15Table 2-2 The Definitions of virtual communities 20Table 2-3 Four perspectives on Web Information Systems 23Table 3-1Three-Stage Requirements Elicitation Model 34Table 4-1 Relationship between Individual Centrality and Elicited Requirements 57Table 6-1 Categories of the requirements from Case I 72Table 6-2 General MANCOVA Model: The Effects of Social Network Roles with Involvement as a Covariate 75Table 6-3 Categories of Requirement from Case II 77Table 7-1 Relationship between types of requirements and Personalization 88List of FiguresFigure 2-1 Information Systems Development Paradigms 6Figure 3-1 Demonstration of three centrality measures 38Figure 3-2 Common network roles 40Figure 4-1Two Cases in this study 53Figure 4-2 The Expected Requirements From Users 58Figure 4-3 Relationship Between Key Users and Elicited Requirements 59Figure 5-1 Typical Community Roles and Their Usage 63Figure 5-2 Research Framework of this study 64Figure 5-3 Research Procedures 67Figure 6-1 Sociogram of a communication network 73Figure 6-2 Perception Differences of Requirements by User Roles 74Figure 6-3 Pie Chart for Sample’s Composition by Occupation 78Figure 6-4 Histogram for Sample’s age distribution 79Figure 6-5 Perception Differences of Requirements by User Roles on the ASP board 81 | zh_TW |
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dc.language.iso | en_US | - |
dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#G0087356501 | en_US |
dc.subject (關鍵詞) | 需求擷取 | zh_TW |
dc.subject (關鍵詞) | 社會網路分析 | zh_TW |
dc.subject (關鍵詞) | 線上社群 | zh_TW |
dc.subject (關鍵詞) | 關鍵使用者 | zh_TW |
dc.subject (關鍵詞) | Requirement Elicitation | en_US |
dc.subject (關鍵詞) | Social Network Analysis | en_US |
dc.subject (關鍵詞) | Online community | en_US |
dc.subject (關鍵詞) | Key users | en_US |
dc.title (題名) | 社群導向系統的使用者需求擷取之研究 | zh_TW |
dc.title (題名) | A Study of User Requirement Elicitation for the Design of Community-Oriented Systems | en_US |
dc.type (資料類型) | thesis | en |
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