博碩士論文 etd-0121107-232254 詳細資訊


[回到前頁查詢結果 | 重新搜尋]

姓名 黃曉君(Hsiao-chun Huang) 電子郵件信箱 E-mail 資料不公開
畢業系所 資訊管理學系研究所(Information Management)
畢業學位 碩士(Master) 畢業時期 94學年第2學期
論文名稱(中) 影響行動科技導入因素之研究—配適度與可行性模式觀點
論文名稱(英) Factors Affecting the Adoption of Mobile Technology —the Fit-Viability Perspective
檔案
  • etd-0121107-232254.pdf
  • 本電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。
    請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。
    論文使用權限

    電子論文:校內公開,校外永不公開

    論文語文/頁數 中文/105
    統計 本論文已被瀏覽 5378 次,被下載 31 次
    摘要(中) 伴隨著網際網路與基礎設施的成熟,行動科技的發展變得非常的迅速。行動科技在個人化的應用帶動了行動工作者的普遍,企業也因此積極的試圖將行動科技應用在組織內。然而目前行動科技採用的研究卻非常的缺乏。因此本研究根據現有的文獻及實證調查資料的分析,探討影響行動科技採用的各項因子,並據此提供了一個行動科技採用成功的模式作為後續相關研究的理論基礎以及實務上企業採用行動科技時的參考。
      本研究認為企業導入行動科技時,除了要考量任務與行動科技之間的配適程度對系統成功的影響外,還必須考量組織的可行性與使用者本身的個人特性透過資訊系統品質對於系統成功所造成的影響。
      透過實證資料的收集與統計假說的驗證分析,本研究發現:(1)任務與科技配適度會直接影響系統的成功,並不會透過資訊系統品質對系統成功產生影響。(2)個人特性與組織可行性並不會直接影響系統成功,但是會透過影響資訊系統品質對系統成功產生影響。(3)個人特性與組織可行性對於資訊系統品質的資訊品質與系統品質會產生影響,但是對服務品質並不會產生影響。(4)資訊系統的系統品質對資訊系統成功產生顯著影響,但是資訊品質與服務品質對資訊系統成功並沒有產生顯著影響。此外根據分析的結果可以了解,影響組織可行性的程度由大至小為組織文化、部門溝通、資訊科技架構、財務資源與組織架構。
      本研究的成果可以協助組織經營者了解行動科技導入過程中應注意的事項。組織可以依據本身的狀況針對不足的部份加以彌補,促使組織在行動科技的導入過程可以更順利並且減少因失敗所導致的成本耗費。
    摘要(英) The increased popularity in mobile devices and technology has motivated business to adopt the technology for increased productivity. However, not much research has investigated the adoption of mobile technology. The purpose of this thesis is to study the factors that influence the adoption of mobile technology and to develop a model of mobile technology adoption. The model can serve as a foundation for future research and provide useful guidelines for organizations that plan to adopting mobile technology.
      The model suggests two categories of factors that determine the decision of adopting mobile technology: fit and viability. Fit measures whether the functional capabilities of mobile technology match the need of a task, whereas viability measures whether an organization is ready for the technology. This research develops instruments for measuring fit and viability. A survey was conducted to collect data for model evaluation.
      Major findings from the study include: (1) the fitness between task and technology had a direct positive impact on the success of mobile system adoption. (2) Personal characteristic and organizational viability had indirect positive impacts on the success of mobile system adoption via the mediation of system quality. (3) Personal characteristic and organizational viability had positive impacts on the information quality and system quality but had no impact to the service quality. (4) Only the system quality had a positive impact on the success of mobile system adoption.
    關鍵字(中)
  • 資訊系統成功模式
  • 任務科技配適度理論
  • 行動科技採用
  • 關鍵字(英)
  • Information systems success model
  • Mobile technology Adoption
  • Fit-Viability Model
  • 論文目次 目 錄........................................................................................... i
    圖目錄........................................................................................ i
    第一章、緒論........................................................................... 4
    第一節、研究背景與動機....................................................... 4
    第二節、研究目的................................................................... 8
    第三節、研究流程....................................................................9
    第四節、論文架構....................................................................10
    第二章、文獻探討....................................................................11
    第一節、行動商務的定義........................................................11
    第二節、電子商務暨行動科技建置的策略矩陣及應用........13
    第三節、任務科技配適度理論................................................19
    第四節、電腦自我效能............................................................21
    第五節、資訊系統成功模式....................................................23
    第六節、影響組織導入行動科技之因素................................29
    第三章、研究架構及方法........................................................41
    第一節、研究架構....................................................................41
    第二節、研究假說....................................................................44
    第三節、研究變數之操作性定義及衡量................................47
    第四節、資料分析方法............................................................51
    第四章 資料分析與討論..........................................................53
    第一節、公司背景及行動科技應用之描述............................53
    第二節、樣本基本資料檢定分析與描述................................56
    第三節、信效度分析 ..............................................................60
    第四節、研究假說之檢定........................................................67
    第五節、研究結果彙整............................................................78
    第五章 結論與建議..................................................................80
    第一節、研究結論....................................................................80
    第二節、研究貢獻....................................................................83
    第三節、研究限制....................................................................84
    第四節、未來研究方向............................................................85
    參考文獻....................................................................................86
    附錄一、問卷內容....................................................................92
    圖目錄
    圖1- 1:全球行動上網調查(worldwide mobile internet servey, WMIS).... 5
    圖1- 2:行動工作者行動網路服務的使用行為…………………............. 6
    圖1- 3:本研究進行流程............................................................................. 9
    圖2- 1:電子商務創新策略矩陣圖............................................................. 13
    圖2- 2:行動商務配適度-可行性架構........................................................ 16
    圖2- 3:企業採用資訊科技個案分析之結果............................................. 18
    圖2- 4:科技績效鏈..................................................................................... 20
    圖2- 5:Subset of the TPC............................................................................ 21
    圖2- 6:影響電腦自我效能的研究模式..................................................... 22
    圖2- 7:DeLone and McLean 1992年提出的資訊系統成功模式……….. 23
    圖2- 8:DeLone and Mclean 的修正後之資訊系統成功模式…………... 24
    圖2- 9:Theoretical Input-Output Performance Model................................. 27
    圖3- 1:本研究的研究架構.......................................................................... 43
    圖4- 1:驗證配適度與組織可行性之結果.................................................. 68
    圖4- 2:驗證配適度、個人特性與組織可行性之結果.............................. 69
    圖4- 3:研究架構之匯整結果...................................................................... 70
    圖4- 4:修正過的研究架構.......................................................................... 71
    圖4- 5:驗證後的模式.................................................................................. 73
    表目錄
    表2- 1:行動應用的種類............................................................................... 12
    表2- 2:Tjan (2001)二維矩陣中Viability 的衡量方式............................... 14
    表2- 3:Tjan (2001)二維矩陣中Fit 的衡量方式......................................... 14
    表2- 4:因子整理表........................................................................................ 27
    表2- 5:影響組織科技導入因素之整理表.................................................... 29
    表3- 1:任務特性的變數衡量方式................................................................ 48
    表3- 2:個人特性的變數衡量方式................................................................ 48
    表3- 3:組織可行性的變數衡量方式............................................................ 50
    表3- 4:預期資訊系統的品質的變數衡量方式.................…………………51
    表3- 5:資訊系統成功的變數衡量方式........................................................ 51
    表4- 1:Levene變異數同質性檢定................................................................ 57
    表4- 2:各個變數之間的t檢定..................................................................... 57
    表4- 3:性別比例分配表................................................................................ 58
    表4- 4:學歷分配表........................................................................................ 58
    表4- 5:年齡比例分配表................................................................................ 59
    表4- 6:職位比例分配表................................................................................ 59
    表4- 7:行業比例分配表................................................................................ 59
    表4- 8:任務特性之因素分析結果................................................................ 60
    表4- 9:任務特性之信度分析結果................................................................ 61
    表4- 10:個人特性之因素分析結果.............................................................. 62
    表4- 11:個人特性之信度分析結果.............................................................. 62
    表4- 12:組織可行性之因素分析結果.......................................................... 63
    表4- 13:組織可行性之信度分析結果.......................................................... 64
    表4- 14:資訊系統的品質之因素分析結果.................................................. 65
    表4- 15:資訊系統的品質信度分析結果...................................................... 65
    表4- 16:資訊系統成功之因素分析.............................................................. 66
    表4- 17:資訊系統成功之信度分析結果...................................................... 66
    表4- 18:任務科技配適度與組織可行性對資訊系統成功的複迴歸分析.. 67
    表4- 19:配適度、個人特性與組織可行性對資訊系統成功的複迴歸分析 68
    表4- 20:構面之間的t值表........................................................................... 69
    表4- 21:修正後構面之間的t值表…………………………....................... 72
    表4- 22:子構面對組織可行性的t值與係數表…………………............... 73
    表4- 23:物流運輸業之分析結果.................................................................. 74
    表4- 24:保險金融業之分析結果.................................................................. 74
    表4- 25:零售服務業之分析結果.................................................................. 75
    表4- 26:性別差異之t值與顯著水準........................................................... 75
    表4- 27:年紀差異之t值與顯著水準........................................................... 76
    表4- 28:學歷差異之t值與顯著水準........................................................... 76
    表4- 29:假說驗證結果.................................................................................. 79
    參考文獻 [1] Bailey, J.E., and Pearson, S.W. “Development of a tool for measuring and analyzing computer user satisfaction,” Management Science, 29, 5 (1983), pp530-545
    [2] Bandura, A. A. Social Foundations of thought and Action: a social cognitive, Prentice hall, Englewood Cliffs, NJ, (1986)
    [3] Beatty, R.C., Shim, J.P., and Jones, M.C. “Factors influencing corporate web site adoption: a time-based assessment,” Information & Management, 38 (2001), pp337-354.
    [4] Calantone, R.J., Cavusgil, S.T., and Zhao, Y. “Learning orientation, firm innovation capability, and firm performance,” Industrial Marketing Management, 31, (2002), pp515-524
    [5] Chang, J.C.J., and King, W.R. “Measuring the Performance of Information Systems: A Functional Scorecard,” Journal of Management Information Systems, 22, 1 (2005), pp85-115
    [6] Compeau, D.R., and Higgins, C. A. “Computer Self-Efficacy: Development of a Measure and Initial Test,” MIS Quarterly, 19, 2 (1995), pp189-211
    [7] Compeau, D.R., Higgins, C.A., and Huff, S. “Social Cognitive Theory and Individual Reaction to Computing Technology: A Longitudinal Study,” MIS Quarterly, 23, 2 (1999), pp145-158
    [8] Cragg, P.B., and King, M. “Small-Firm Computing: Motivators and Inhibitors,” MIS Quarterly, 17, 1 (1993) , pp47-60
    [9] DeLone, W.H. “Determinants of Success for Computer Usage in Small Business,” MIS Quarterly, (1988), pp 51-61
    [10] DeLone , W.H., and McLean, E.R. “Information Systems Success: The Quest for the Dependent Variable,” Information Systems Research, 3, 1 (1992)
    [11] DeLone, W.H., and McLean, E.R. “The DeLone and McLean Model of Information systems Success: A Ten-Year Update,” Journal of Management Information Systems, 19, 4 (2003), pp9-30
    [12] Ein-Dor, P., and Segev, E. “Organizational context and the success of management information systems,” Management science, 24, 10 (1978), pp1064-1077
    [13] Finlay, P.N., and Forghani, M. A. “Classification of success factors for decision support systems,” Journal of strategic Information systems, 7, 1998, pp53-70
    [14] Flanagin, A.J. “Social Pressures on Organizational Website Adoption,” Human Communication Research, 26, 4 (2000), pp618-646
    [15] Frolick, M.N., and Chen, L.D. “Assessing M-Commerce opportunities,” Information systems Management, 21, 2 (2004), pp53-61.
    [16] Gebauer, J., and Shaw, M.J. “Success factors and impacts of mobile business applications: Results from a mobile e-procurement study,” International Journal of Electronic Commerce, 8, 3 (2004), pp19-42.
    [17] Goodhue, D.L. “IS Attitudes: Toward Theortical and Definition Clarity,” DataBase, 19, 3 (1988), pp6-15
    [18] Goodhue, D.L., and Thompson, R.L. “Task-Technology Fit and Individual Performance,” MIS Quarterly, 19,2 (1995), pp213-236
    [19] Grover, V., and Goslar, M.D. “The Initiation, Adoption, and Implementation of Telecommunications Technologies in U.S organizations,” Journal of Management Information Systems, 10, 1 (1993), pp141-163
    [20] Hill, T., Smith, N.D., and Mann, M.F. “Communicating Innovations: Convincing Computer Phobics to Adopt Innovative Technologies,” Advances in Consumer Research, 13 (1986), pp419-422
    [21] Iacovou, C.L., Benbasat, I., and Dexter, A.S. “Electronic data interchange and small organizations: Adoption and Impacts of technology,” MIS Quarterly, 19, 4 (1995), pp465-485
    [22] Ives, B., Olson, M.H., and Baroudi, J.J. “The measurement of User Information Satisfaction,” Communication of the ACM, 26, 20 (1983), pp785-793
    [23] Jarvenpaa, S.L. “The Effect of Task Demands and Graphical Format on Information processing Strategies,” Management Science, 35, 3 (1989), pp285-303
    [24] Jarvenpaa, S.L., Lang, K.R., Takeda, Y.; and Tuunainen, V.K. “Mobile Commerce AT Crossroad,” Communications of the ACM, 46, 12 (2003)
    [25] King, W.R., Grover, V., and Hufnagel, E.H. “Using Information and Information Technology for Sustainable Competitive Advantage: Some empirical Evidence,” Information & Management, 17 (1989), pp87-93
    [26] King, W.R., and Teo, T. S.H. “Facilitators and inhibitors for the strategic use of information technology,” Information & Management, 27, 2 (1994), pp71-87
    [27] King, W.R., and Teo, T. S.H. “Key Dimensions of Facilitators and Inhibitors for the Strategic Use of Information Technology,” Journal of Management Information Systems, 12, 4(1996), pp35-53
    [28] Kuan, K.K.Y., and Chau, P.Y.K. “A perception-based model for EDI adoption in small business using a technology-organization-environment framework,” Information & Management, 38 (2001), pp507-521.
    [29] Kwon, T.H., and Zmud, R.W. Unifying the fragment models of information systems implementation. Critical issues in information systems Research (1987) 227-251.
    [30] Leung, K., and Antypas, J. “Improving Returns On M-Commerce Investments,” Journal of Business Strategy, (Spetember-October 2001), pp12-13
    [31] Li, E.Y. “Perceived Importance of Information Systems Success Factors: A Meta Analysis of Group Differences,” Information and Management, 32, 1, (1997), pp15-28
    [32] Liang, T.P., and Wei, C.P. “Introduction to the special Issue: A framework for mobile commerce applications,” International Journal of Electronic Commerce, 8, 3 (2004), pp7-14.
    [33] Lucas, H.C. “Empirical Evidence For a descriptive Model of Implementation,” MIS Quarterly, 2, 2 (1978), pp27-41
    [34] Malladi, R., and Agrawal, D.P. “Current and Future Applications of Mobile and Wireless Networks,” Communication of the ACM, 45, 10 (2002), pp144-146
    [35] Negash, S., Ryan, T., and Igbaria, M. “Quality and effectiveness in Web-based customer support systems,” Information and Management, 40, 8 (2003), pp757-768
    [36] Neo, B.S. “Factors Faciliting the Use of Information Technology for competitive Advantage: An Exploratory Study,” Information and Management, 15, (1988), pp191-201
    [37] Parasuraman, A., Zeithaml, V.A., and Berry, L.L. “SERVQUAL: A multiple-Item scale for measuring consumer perceptions of service quality,” Journal of retailing, 64, 1 (1988), pp12-40
    [38] Pearson, S.W., and Bailey, J.E.Measurement of Computer Satisfaction. Ph.D. dissertation, Arizona State University, Tempe, (1977)
    [39] Pentland, B.T. “Use and productivity in Personal Computers: An Empirical Test,” Proceedings of the Tenth International Conference on Information Systems, Boston, MA, (1989), pp211-222
    [40] Pitt, L.F., Watson, R.T., and Kavan, C.B. “Service quality: A measure of information systems effectiveness,” MIS Quarterly, 19, 2 (1995), pp173-188
    [41] Powers, R.F., and Dickson, G.W. “MIS Project Management: Myths, Opinions, and Reality,” California Management Review, 15, 3 (1973), pp147-156
    [42] Poon, P., and Wagner, C. “Critical success factors revisited: success and failure cases of information systems for senior executives,” Decision Support Systems, 30, (2001), pp393-418
    [43] Rupp, W.T., and Smith, A.D. “Mobile Commerce: New revenue machine or black hole? “ Business Horizons, (July-August 2002), pp26-29
    [44] Szajna, B. “Determining information system usage: some issues and examples,” Information & Management, 25, 3 (1993), pp147-154
    [45] Teng, J.T.; Fiedler, K.D.; and Grover, V. “An Exploratory Study of the influence of the IS function and organizational context on Business Process Reengineering Project Initiatives,” OMEGA: International Journal of Management Science, 26, 6 (1998), pp679-698
    [46] Thatcher, J.B., and Perrewe, P.L. “An Empirical Examination of Individual Traits as Antecedents to Computer Anxiety and Computer Self-Efficacy,” MIS Quarterly, 26, 4 (2002), pp381-396
    [47] Tjan, A.K. Finally, a Way to Put Your Internet portfolio in Order. Harvard Business Review, (Feb 2001), pp76-85
    [48] Umble, E.J., Haft, R.R., and Umble, M.M. “Enterprise resource planning: Implementation procedures and critical success factors,” European Journal of Operational Research, 146, (2003), pp241-257
    [49] Varshney, U., and Vetter, R. “A Framework for the Emerging Mobile Commerce applications,” Proceedings of the 34th Hawaii International Conference on System Sciences, (2001)
    [50] Vessey. I. “Cognitive Fit: A Theory-Based Analysis of the Graphs Vs. Table Literture,” Decision Sciences, 22, 2 (1991), pp219-240
    [51] Williamson, O.E. Markets and Hierarchies: Analysis and Antitrust Implications. Collier Macmillan Publishers, (1975)
    [52] Zammuto, R.F., and O’connor, E.J. “Gaining Advanced Manufacturing Technologies’ Benefits: The role of Organization Design and Culture,” Academy of management Review, 17, 4 (2001), pp701-728
    [53] Zhuang, Y., and Lederer, A.L. “A resource-based view of electronic commerce,” Journal of Management Information Systems, 43 (2006), pp251-261.
    [54] Zhu, K., Kraemer, K.L., Xu, S., and Dedrick, J. “Information Technology Payoff in E-Business environments: An international Perspective on Value Creation of E-Business in the Financial Services Industry,” Journal of Management Information Systems, 21, 1 (2004), pp17-54.
    [55] 黃貞維, 「企業採用行動科技之分析」, 國立中山大學資訊管理研究所碩士論文,2004年七月
    [56] 祝道松、林家五,「企業研究方法」/Uma Sekaran 原著,智勝文化,2003年
    [57] 林東清,「資訊管理 e化企業的核心競爭力」,智勝文化,2002年
    [58] 邱皓政,「量化研究與統計分析」,五南出版社,2002年
    口試委員
  • 侯君溥 - 召集委員
  • 陳燈能 - 召集委員
  • 梁定澎 - 指導教授
  • 口試日期 2006-07-25 繳交日期 2007-01-21

    [回到前頁查詢結果 | 重新搜尋]


    如有任何問題請與論文審查小組聯繫