博碩士論文 etd-0712115-113813 詳細資訊


[回到前頁查詢結果 | 重新搜尋]

姓名 吳家賢(Chia-Hsien Wu) 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 博士(Ph.D.) 畢業時期 103學年第2學期
論文名稱(中) 虛擬團隊品質與服務創新績效
論文名稱(英) Teamwork Quality and Service Innovation Performance of Virtual Teams
檔案
  • etd-0712115-113813.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

    紙本論文:5 年後公開 (2020-08-12 公開)

    電子論文:使用者自訂權限:校內校外均不公開

    論文語文/頁數 中文/217
    統計 本論文已被瀏覽 5376 次,被下載 0 次
    摘要(中) 在全球競爭與資訊科技發達的e世代環境下,資訊科技成為現今企業不可或缺的工作平台。企業為了獲利,往往需要不斷創新服務去提高與維持產業競爭優勢,因此,當企業在面對不同類型的創新任務的挑戰,如何在最短時間內凝聚最佳資源,產出最具競爭力的產品成為企業永續經營的主要關鍵。因此,虛擬團隊成為企業「加速流程、整合資源、降低成本」的最基本工作型態。實務運作上,企業如何有效運用及整合資訊通訊科技打造一個有效率的虛擬團隊,以達到企業預期的服務創新專案目標,成為一個重要創新管理議題。所以,本研究將深入探討,虛擬團隊在面對不同媒體豐富性的資訊通訊科技與多元化的服務創新任務同時,對於團隊本身的團隊品質以及服務創新專案團隊績效的影響。
    因此,本研究主要以任務-科技配適度模式為理論基礎,並輔以調適性結構化理論的觀點,並納入團隊品質構面,提出一個整合性任務-科技適配度模式,並透過實證資料的蒐集與統計假說的驗證分析,了解到當任務-科技-團隊成員電腦能力的適配程度越高時,其資訊通訊科技在服務創新專案中就扮演著良好的催化劑,除了對虛擬團隊互動品質有正向影響外,更會進一步影響到虛擬團隊的服務創新績效。此外,進一步分析可得知,當虛擬團隊面對不確定性高的服務創新任務時,往往需要多元化的資訊,來協助決策與判斷,因此透過採用媒體豐富性較低,非即時但易於分享與尋找資訊的資訊通訊科技(Facebook)時,不僅有助於創新任務的執行與團隊溝通,也讓團隊成員更樂於去分享團隊知識與溝通協調,進而帶來更佳的服務創新績效,另一方面,當虛擬團隊面對模糊性高的服務創新任務時,需要密集而即時的溝通與討論,來凝聚大家的共識並收斂問題,因此透過採用媒體豐富性較高,而且及時如同面對面般的溝通的資訊科技(Skype)時,有助於創新團隊更密切的溝通討論,進而帶來更好的服務創新績效。
    摘要(英) Information and communication technology (ICT) becomes an essential work-platform in modern enterprises in the age of global competition. Businesses need to improve and maintain their competitive ability through continuous service innovation. When businesses face different kinds of innovation challenges, how to concentrate their resources to produce the most competitive products in the shortest time frame is the key to enterprise sustainability. Therefore, virtual team (VT) becomes popular in many enterprises for accelerating the process, integrating resources and reducing costs. In practice, how to effectively use and integrate ICT to build effective virtual teams for service innovation projects is an important management issue. Hence, this study explores whether media with different levels of richness and the nature of service innovation projects affect teamwork quality and the resulting innovation performance.
    This research develops a framework based on the task-technology fit (TTF) model and the adaptive structuration theory. A laboratory experiment was performed on a group of 130 students to evaluate the research model. Three service innovation project scenarios with each of them included four tasks were designed. The results show that ICT can serve as an important accelerator and has significant positive effects on teamwork quality and performance of the virtual team, when the degree of fit between task and technology, and team member’s computer self-efficacy are high.
    In addition, when the uncertainty of the innovation project is high and the team needs a variety of information to facilitate decision making and judgment, the asynchronous ICT tool with low media richness such as Facebook can produce better team performance. This may be because this tool makes it easier for the team to share information and communicate with each other.
    Finally, when virtual teams faced high equivocal projects that require intensive and real-time communication and discussion for team members, ICT tools such as skype is more effective. This may be because the real-time communication tool can help virtual teams to have more frequent discussion and intensive communication.
    關鍵字(中)
  • 科技-任務適配度模式
  • 媒體豐富性
  • 虛擬團隊
  • 專案績效
  • 服務創新
  • 團隊品質
  • 關鍵字(英)
  • Task-technoloyg fit model
  • project performance
  • virtual team
  • media richness
  • service innovation
  • teamwork quality
  • 論文目次 論文審定書 i
    論文公開授權書 ii
    致謝詞 iii
    摘要 iv
    Abstract v
    圖目錄 ix
    表目錄 x
    1. 緒論 1
    1.1. 研究背景與動機 1
    1.2. 研究目的與問題 5
    2. 文獻探討 7
    2.1. 服務創新 7
    2.1.1. 服務創新的概念 8
    2.1.2. 服務創新的類型 9
    2.1.3. 服務創新流程 13
    2.1.4. 服務創新相關研究 16
    2.1.5. 服務創新績效 17
    2.2. 虛擬團隊 21
    2.2.1. 虛擬團隊的定義 21
    2.2.2. 虛擬團隊的相關研究 23
    2.3. 團隊品質 26
    2.4. 媒體豐富性理論(Media Richness theory) 33
    2.5. 任務/科技配適度(Task/Technology Fitting;TTF)模式 38
    2.5.1. 任務/科技配適度模式相關研究回顧 45
    2.6. 調適性結構化理論(Adaptive Structuration Theory) 55
    2.6.1. 調適性結構化理論的起源 55
    2.6.2. 調適性結構化理論的架構 58
    2.6.3. 調適性結構化理論的系統運用結構 62
    3. 研究設計 65
    3.1. 研究方法之選擇 65
    3.2. 研究架構 66
    3.3. 研究假說 67
    3.4. 研究變數之操作型定義及衡量 73
    3.5. 實驗設計 90
    3.5.1. 實驗對象與編組方式 92
    3.5.2. 實驗任務設計 93
    (1) 服務創新腦力激盪型任務: 94
    (2) 服務創新改善決策型任務: 95
    (3) 服務創新改善規劃任務: 96
    (4) 服務創新改善溝通型任務: 96
    3.5.3. 控制變數 98
    3.5.4. 實驗環境設計 99
    3.5.5. 實驗流程與資料蒐集方式 101
    3.6. 實驗前測 106
    3.6.1. 任務特性的操弄 106
    3.6.2. 科技特性的操弄 107
    3.6.3. 前測實驗結果分析 108
    3.6.4. 前測實驗結果對於實驗流程修正之探討 109
    4. 研究資料分析與討論 128
    4.1. 實驗流程 128
    4.2. 正式實驗問卷分析結果 128
    4.3. 組內一致性分析 144
    4.4. 研究模式之驗證 145
    4.5. 研究假說之驗證 155
    5. 結論與建議 157
    5.1. 研究結論 157
    5.2. 研究貢獻 160
    5.3. 研究限制與未來研究方向 162
    參考文獻 164
    【附錄一】 181
    【附錄二】 190
    參考文獻 1. Allen, T. J., (1977). Managing the flow of technology, Cambridge, MA, MIT Press.
    2. Amabile, T. M., (1983), The Social Psychology of Creativity: A Componential Conceptualization, Journal of Personality and Social Psychology, 45, pp.357-377.
    3. Amabile, T. M., (1988), A model of creativity and innovation in organizations. In B. Staw and L. L. Cummings (Eds.), Research in organizational behavior (Vol. 10, pp. 123–167). Greenwich, CT: JAI.
    4. Amabile, T. M., R. Conti, et al., (1996), Assessing the Work Environment for Creativity, The Academy of Management Journal, 39(5), pp.1154-1184.
    5. Amabile, T. M., Conti, R., Coon, H., Lazenby J., and Herron, M., (1996), Assessing the Work Environment for Creativity, Academy of Management Journal, 39(5), pp.1154-1184.
    6. Agocs, C., (1997), Institutionalized resistance to organizational change: Denial, inaction and repression. Journal of Business, Dordrecht, 16, pp.917-931.
    7. Ancona, D. and Caldwell, D.,(1997), Making Teamwork Work: Boundary Management in Product Development Teams, Managing Strategic Innovation and Change, A Collection of Readings, M.L. Tushman and P. Anderson, New York: Oxford University Press.
    8. Amabile, T. M., Mueller, J. S., & Archambault, S., (2000), Detailed Event Narrative Analysis (DENA) Coding Scheme. Unpublished Manuscript, Harvard Business School, Boston, MA.
    9. Amabile, T. M., Patterson, C., Mueller, Jennifer, Wojcik, T., P. Odomirok, M. Marsh, and Kramer. S., (2001), Academic-Practitioner Collaboration in Management Research: A Case of Cross-Profession Collaboration, Academy of Management Journal, 44(2), pp.418-431.
    10. Avlonitis, G. J., Papastathopoulou, P. G. & Gounaris, S. P., (2001), An empiricallybased typology of product innovativeness for new financial services: Success and failure scenarios. Journal of Product Innovation Management, 18, pp. 324- 342.
    11. Blumer, Herbert., (1969), Symbolic Interactionism: Perspective and Method. Englewood Cliffs, NJ: Prentice-Hal
    12. Bostrom, R. P., and Heinen, J. S., (1977 September), MIS Problems and Failures: A Socio-Technical Perspective. Part I: The Causes, MIS Quarterly, pp. 17-32.
    13. Bostrom, R. P. & Heinen, J. S., (1977 December), MIS Problems and Failures: A Socio-Technical Perspective. Part II: The Application of Socio-Technical Theory, MIS Quarterly, pp. 11-28.
    14. Bandura. A., (1977), Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84, 191-215.
    15. Bui, T., Sivasankaran, T.R., Fijol, Y., and Woodbury, M.A., (1987), Identifying organizational opportunities for GDSS use: some experimental evidence. Transactions of the Seventh International Conference on Decision Support Systems , pp.68-75.
    16. Benbasat, I., Dexter, A. S., Todd. P., (1986), An experimental program investigating color-enhanced and graphical information presentation: An integration of the findings. Comm. ACM 29(11) 1094-1105.
    17. Betz, F., (1987), Managing technology competing through new ventures, innovation, and corporate research. New York: Prentice Hall.
    18. Bradach, J. L. and Eccles, R. G.,(1989), Markets versus Hierarchies:From Ideal Type to Plural Forms, Annual Review of Sociology, 15, pp. 97-118.
    19. Barley, S. R., (1990), The alignment of technology and structure through roles and networks, Administrative Science Quarterly, 35, pp. 61-103.
    20. Bollen, K. A. and Hoyle, R. H. (1990). Perceived cohesion. Social Forces, 69(2), 479-504.
    21. Benbasat, I., and Lim, L.H.,(1993), The Effects of Group, Task, Context and Technology Variables on the Usefulness of Group Support Systems: A Meta-Analysis of Experimental Studies. Small Group Research, 24(4), pp.430-462.
    22. Byrne, Donn., (1971), The Attraction Paradigm. New York: Academic Press.
    23. Bitran, G. and Pedrosa, L.,(1998), "A structured product development perspective for service operations", European Management Journal, 16(2), pp. 169-189.
    24. Benford, T. L., and J. E., Hunton, (2000), Incorporating information technology considerations into an expanded model of judgment and decision making in accounting. International Journal of Accounting Information Systems, 1(1), pp. 54-65.
    25. Bergeron, F, Raymond, L & Rivard, S.,(2001), Fit in strategic information technology management research: an empirical comparison of perspectives. Omega, 29, pp.125-142.
    26. Brake, T., (2006), Leading Global Virtual Teams, Industrial & Commercial Training (38: 2/3), pp. 116-121.
    27. Cummings, T., (1978), Self-regulating work groups: a socio-technical synthesis. Academy of Management Review 3, 625–634.
    28. Carron, A. V. and Brawley, L. R. (1985). The Development to assess cohesion in sport teams. Journal of Sport Psychology, 7, 244-266.
    29. Cooper, R. B., & Zmud, R. W., (1990), Information technology implementation research: A technological diffusion approach. Management Science, 36(2), pp. 123-139.
    30. Chidambaram, L., and & Jones, B., (1993), Impact of Communication Medium and Computer Support on Group Perceptions and performance: A Comparison of Face-to-Face and Dispersed Meetings, MIS Quarterly, 17(4), pp.465-491.
    31. Campion, M. A., Medsker, G. J., & Higgs, A. C. (1993). Relations between work group characteristics and effectiveness: Implications for designing effective work groups. Personnel Psychology, 46(4), 823-850.
    32. Cota, A. A., Longman, S. R., Evans, C. R. and Dion, K. L., (1995), Using and misusing factor analysis to explore group cohesion. Journal of Clinical Psychology, 51(2), pp.308-316.
    33. Compeau, D. R. and Higgins, C. A., (1995), Computer Self-efficacy: Development of a Measure and Initial Test, MIS Quarterly, 19(2), 189-211.
    34. Cooper, DR., Emory, CW., (1996), Business Research Methods, Fourth Edition, Irwin Mc Graw Hill, London.
    35. Chin, Wynne W., Gopal, Abhijit., Salisbury, W. David., (1997), Advancing the Theory of Adaptive Structuration: The Development of a Scale to Measure Faithfulness of Appropriation. Information Systems Research, 8(4), pp.342-368.
    36. Compeau, D., Higgins, C.A. and Huff, S., (1999), Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study, MIS Quarterly, 23(2), 145-158.
    37. Crampton, C., (2001), “The Mutual Knowledge Problem and its Consequences for Dispersed Collaboration,” Organization Science 12(3), pp.346-371.
    38. Christiaanse, E. and Venkatraman, N., (2002),Beyond SABRE: an empirical test of expertise exploitation in electronic channels, MIS Quarterly, 26(1), pp. 15-38.
    39. Chen, K., Yen, D. C., Hung, S. Y., (2008), An exploratory study of the select ion of communication media: The relat ionship between flow and communication outcomes. Decision Support Systems, 45, pp.822-832.
    40. Cowell, A. J., and Cowell, A. K., (2009), Avatars in analytical gaming. Paper presented at the 2009 International Conference on Computational Science and Engineering.
    41. Chesbrough, H.W., (2011), “The case for open services innovation: the commodity trap”, California Management Review, 52(3), 5-20.
    42. Chow, M.; Herold, D. K.; Choo, T.-M. & Chan, K., (2012), Extending the technology acceptance model to explore the intention to use Second Life for enhancing healthcare education, Computers & Education, 59 (4), pp. 1136-1144 .
    43. McDermott, Christopher M., Prajogo, Daniel I., (2012), "Service innovation and performance in SMEs", International Journal of Operations and Production Management, Vol. 32 Iss: 2, pp.216 – 237.
    44. Downey, H. K., and J. W., (1975), Slocum, Uncertainty: Measures, research, and sources of variation, Academy of Management Journal, 3, pp.562-577.
    45. Daft, R. and Wiginton, J., (1979), “Language and Organization,” The Academy of Management Review, 4(2), 179-191
    46. Daft, R. L., and Lengel, R. H.,(1984), “Information Richness: A New Approach to Managerial Behavior and Organizational Design, ” in Research in Organizational Behavior, L. L. Cummings and B. M. Staw (eds.), JAI Press, Homewood, IL, 191-233.
    47. Daft, R., and Lengel, R., and Trevino, L. K. (1986). Message equivocality, media selection, an manager performance: Implications for information systems. Management Information Systems Quarterly, II, 355-366.
    48. Daft, R.L. and Lengel, R.H.,(1986), “Organizational information requirements, media richness and structural design,” Management Science, 32(5), 554-571.
    49. Daft, R. L., Lengel, R. H., Trevino, L. K., (1987), Message Equivocality, Media Selection, and Manager Performance: Implications for Information Systems, MIS Quarterly, 11(3), pp.355-366.
    50. Davis, F. D., (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), pp.319-340.
    51. Davies, F. D., Bagozzi, R. P. and Warshaw, P. R., (1989), User Acceptance of Computer Technology: A Comparison of Two Theoretical Models, Management Science, 35, pp. 982 -1003.
    52. Dumaine, Brian, (1991), Design That Sells and Sells and…, Fortune (March 11), pp.86-94.
    53. Dennis, A. R., and Gallupe, R.B., (1993), A History of GSS Empirical Research: Lessons Learned and Future Directions, In L. M. Jessup and J. S. Valacich (eds.), Group Support Systems: New Perspectives. Macmillan, pp.59-77.
    54. Desanctis, G. & Poole, M. S., (1994). Capturing the Complexity in Advanced Technology Use: Adaptive Structuration Theory. Organization Science. 5, p. 132.
    55. Denison, D. R., Hart, S. L., and Kahn, J. A., (1996), From chimneys to cross-functional teams: Developing and validating a diagnostic model. Academy of Management Journal, 39(4), pp.1005-1023.
    56. Dominick, P. G., Reilly, R. R., & McGourty, J. W., (1997), The effects of peer feedback on team member behavior. Group & Organization Management, 22, pp.508-525.
    57. Dennis, A. R. and Kinney, S. T., (1998), Testing Media Richness Theory in the New Media: The Effects of Cues, Feedback, and Task Equivocality, Information Systems Research, 9(3): 256-274.
    58. Dennis, A. R., & Valacich, J. S., (1999, January), Rethinking media richness: Towards a theory of media synchronicity. Proceedings of the 32nd Hawaii International Conference on System Sciences, Maui, Hawaii
    59. Djellal, F., and Gallouj, F.,(2001), Patterns of innovation organization in service firms: Postal survey results and theoretical models. Science and Public Policy, 28(1), 57-67.
    60. Dennis, A. R., Wixom, B. H., Vandenberg, R. J., (2001), "Understanding Fit and Appropriation Effects in Group Support Systems via Meta-Analysis." MIS Quarterly 25(2): 167-193.
    61. Danneels, E., & Kleinschmidt, E.J. (2001). "Product degree of novelty of innovation from the firm’s perspective: its dimensions and their relation with project selection and performance". The Journal of Product Innovation Management 18 (6): 357–373.
    62. Dennis, A. R., Garfield, M. J., (2003), The Adoption and Use of GSS in Project Teams: Towards More Participative Processes and Outcomes, MIS Quarterly, 27 (2), pp. 289-323.
    63. Drejer, I., (2004), Identifying innovation in surveys of services: A Schumpeterian perspective. Research Policy, 33(3), 551-562.
    64. Dolfsma, W., (2004), “The process of newservice development – issues of formalization and appropriability”, International Journal of Innovation Management, 8 (3), pp. 319–337.
    65. Dayan, M., Di Benedetto, C.A., (2008), Procedural and interactional justice perceptions and teamwork quality. Journal of Business and Industrial Marketing, 23 (8), 566–576.
    66. Dayan, M., Di Benedetto, C.A., (2009), Antecedents and consequences of teamwork quality in new product development projects: an empirical investigation. European Journal of Innovation Management, 12 (1), 129–155.
    67. Davis, A., Murphy, J., Owens, D., Khazanchi, D., and Zigurs, I.,(2009), Avatars, people, and virtual worlds: Foundations for research in metaverses. Journal of the Association for Information Systems, 10(2), 90-117.
    68. Damanpour, F., Walker, R.M., Avellaneda, C.N. (2009), ‘Combinative Effects of Innovation Types and Organizational Performance: A Longitudinal Study of Service Organizations’, Journal of Management Studies, 46 (4): 650 – 675.
    69. Daim, Tugrul., Anita, Ha., Reutiman, Shawn., Pathak, Ujjal., Bynum, Wayne., and Bhatla, Ashok, (2012), Exploring Communication Breakdown Problems in Global Virtual Teams, International Journal of Project Management, 30(2), pp.199-212.
    70. Eric, S., Kenneth, P.D., and David, F., (1990), Work Teams, American Psychologist, pp.125.
    71. Easton, G., George, J., Nunamaker, J., and Pendergast, M. (1990). “Using Two Different Electronic Meeting System Tools for the Same Task: An Experimental Comparison,” Journal of Management Information Systems, 7, 85-100.
    72. Ebrahim., N., Ale, Ahmed, S., Taha, Z, (2009c), Virtual Teams: a Literature Review. Aus. J. Basic Appl. Sci. 3: 2653-2669.
    73. Ettlie., John E., Rosenthal, Stephen R., (2012) "Service innovation in manufacturing", Journal of Service Management, 23(3), 440 – 454.
    74. Fulk, J., Steinfield, C. W., Schmitz, J., & Power, J. G., (1987), A social information processing model of media use in organizations. Communication Research, 14, pp. 529-552.
    75. Ford, C. M., (1996). A theory of individual creative action in multiple social domains. Academy of Management Review, 21, pp. 1112–1142.
    76. Fjermestad, J. and Hiltz, S. R., (1999), An Assessment of Group Support Systems Experimental Research: Methodology and Results, Journal of Management Information Systems, 15( 3), pp. 7-149.
    77. Fonseca, J., (2001), Complexity & Innovation in Organizations. Routledge.
    78. Freed, E., Rockwell, E. and Villwock, M., (2001), Virtual teams: What are they and how can they be applied in construction industry. University of Washington.
    79. Frei, F.X., (2008), The four things a service business must get right, Harvard Business Review 86, pp.70–80.
    80. Fuller, R. M., and Dennis, A. R., (2009), Does fit matter? The impact of task-technology fit and appropriation on team performance in repeated tasks. Information Systems Research, 20(1), 2–17.
    81. Galbraith, J.R. & Edström, A. ,(1976), Creating decentralization through informal networks: The role of transfer. In: Kilman, R.H., Pondy, L.R. & Slevin, D.P. (eds.), The management of organization design: Research and methodology,2 , pp. 289-310.
    82. Galbraith, (1977), Organization design, NY. Addision-Wesley.
    83. Giddens, A., (1979), Central Problems in Social Theory: Action, Structure and Contradictions in Social Analysis, London: Macmillan.
    84. Giddens, A., (1984), The constitution of society: Outline of the theory of structuration. Berkeley, CA: University of California Press.
    85. Goodhue, D. L. (1988). IS attitudes: Toward theoretical and definitional clarity. Data Base, 19(3/4), 6–15.
    86. Gallupe, R.B., & McKeen, J.D., (1990), Enhancing Computer-Mediated Communication: An Experimental Investigation into the Use of a Group Decision Support System for Face-toFace Versus Remote Meetings, Information & Management, 18, pp1-13
    87. Gopal, Abhijit, Robert P. Bostrom., and Wynne W. Chin., (1993), Applying adaptive structuration theory to investigate the process of group support systems use, Journal of Management Information Systems, 9(3), pp.45-69.
    88. Gallupe, R., and Cooper, W. (1993). “Brainstorming Electronically,” Sloan Management Review Fall, 27- 33.
    89. Gadrey, J., Gallouj, F., and Weinstein, O., (1995), New modes of innovation: How services benefit industry. International Journal of Service Industry Management, 6(3), 4-16.
    90. Goodhue, D. L. and Thompson, R. L., (1995), “Task-Technology Fit and Individual Performance”, MIS Quarterly, 19(2), 213-236.
    91. Goodhue, D. L., (1995), "Understanding User Evaluations of Information Systems." Management Science 41(12): 1827-1844.
    92. Griffin, A., Page, A.L., (1996), PDMA’s success measurement project: Recommended measures by project and strategy type. J. Prod. Innov. Manage. 13(6), 478-496.
    93. Guzzo, R. A., and Dickson, M. W., (1996), Teams in Organizations:Recent Research on Performance and Effectiveness, Annual Review Psychology, 47, pp.308-344.
    94. Goodhue, D., (1997), The Model Underlying the Measurement of the Impacts of the IIC on the End-Users, Journal of the American Society for Information Science48.5, 449-453.
    95. Gallouj, F. and Weinstein, O., (1997), “Innovation in services,” Research Policy , 26, pp. 537-556.
    96. Goodhue, D. L. (1998), “Development and Measurement Validity of a Task-Technology Fit Instrument for User Evaluations of Information Systems,” Decision Sciences, 29(1), 105-138.
    97. Goodhue, D. (1988). "I/S attitudes: toward theoretical and definitional clarity." SIGMIS Database 19(3-4): 6-15.
    98. Goodhue, D. L., Klein, B. D., and March, S. T., (2000), User evaluations of IS as surrogates for objective performance. Information Management, 38(2), 87–101.
    99. Grönroos, C., (2000), Service Management and Marketing. NY: John Wiley and Sons.
    100. George, J. M., and Zhou, J. (2001). When openness to experience and conscientiousness are related to creative behavior: An interactional approach. Journal of Applied Psychology, 86, 513–524.
    101. Gallouj, F. (2002), “Innovation in the service economy: The new wealth of nations”, Cheltenham: Edward Elgar.
    102. Granic, I., and Hollenstein, T. (2003). Dynamic systems methods for models of developmental psychopathology. Development and Psychopathology, 15, 641-669.
    103. Geister, S., Konradt, U., Hertel, G., (2006), Effects of process feedback on motivation, satisfaction, and performance in virtual teams. Small Group Research, 37(5):459–489.
    104. Galanxhi, H., and Nah, F. F.-H. (2007), Deception in cyberspace: A comparison of textonly vs. avatar-supported medium. International Journal of Human-Computer Studies, 65(9), 770-783.
    105. Gallouj, F. and Windrum, P., (2009), “Services and services innovation”, Journal of Evolutionary Economics, 19 (2), pp. 141–148.
    106. Hackman, J. R. and Oldham, G. R., (1976), “Motivation through the Design of Work: Test of a Theory, ” Organizational Behavior and Human Performance, 16, 250-279.
    107. Hackman, J. R. (1987), The design of work teams. In J. Lorsch (Ed.), Handbook of organizational behavior pp. 315-342. New York: Prentice-Hail.
    108. Hill, T., Smith, N. D., and Mann, M. F. (1987), Role of efficacy expectations in predicting the decision to use advanced technologies: The case of computers, Journal of Applied Psychology, 72, 307-313.
    109. Hiltz, S. R., Johnson, K., and Turoff, M., (1991), Group Decision Support: The Effects of Designated Human Leaders and Statistical Feedback in Computerized Conferences, Journal of Management Information Systems, 8(2), pp. 81-108.
    110. Harish C. Bahl and Mohammad Dadashzadeh, (1992), A Framework for Improving Effectiveness of MIS Steering Committees. Inf. Resour. Manage. J. 5, 3 (July 1992), 33-44.
    111. Hanson, J. and Krackhardt. D., (1993), Informal networks: The company behind the chart. Harvard Bus Rev, 71(4), pp. 104-111.
    112. Hartwick, J., & Barki, H., (1994), Explaining the role of user participation in information system use. Management Science, 40(4), pp. 440-465.
    113. Henderson, J. and Cooprider J., (1988), Dimensions of I/S Planning and Design Technology.
    114. Henderson, JC & Venkatraman, N., (1999), Strategic alignment: Leveraging information technology for transforming organisations, IBM systems Journal, 32(1).
    115. Hertog, P. D., (2000), "Knowledge Intensive Business Services as Co-producers of Innovation." International Journal of Innovation Management 4:491-528.
    116. Hoegl, M. and Gemüenden, H. G. (2001). Teamwork Quality and the Success of innovative Projects: A Theoretical Concept and Empirical Evidence. Organization science, 12(4), 435-449.
    117. Hattori, R., and Wycoff, J., (2002), Innovation DNA. Training and Development Magazine, ASTD., pp. 24-30.
    118. Hollenstein, Heinz, (2003), "Innovation modes in the Swiss service sector: a cluster analysis based on firm-level data," Research Policy, Elsevier, vol. 32(5), pages 845-863, May.
    119. Heeseok, L. and C. Byounggu (2003). "Knowledge Management Enablers, Processes, and Organizational Performance: An Integrative View and Empirical Examination." Journal of Management Information Systems 20(1): 179-228.
    120. Hoegl, M., Weinkauf, K. and Gemüenden, H. G. (2004). Interterm Coordination, Project Commitment, and Teamwork in Multiteam RandD Projects: A Longitudinal Study. Organization science, 15(1), 38-55.
    121. Hoegl, M. and L. Proserpio (2004). "Team member proximity and teamwork in innovative projects." Research Policy 33(8): 1153-1165.
    122. Hoegl, M. and Proserpio, L., (2004), Team member proximity and teamwork in innovative projects, Research Policy 33(8), pp.1153-1165.
    123. Hipp, C., and Grupp, H., (2005), Innovation in the service sector: The demand for service-specific innovation measurement concepts and typologies. Research Policy, 34(2), pp.517-535.
    124. Hertel, G., Geister, S. and Konradt, U., (2005), “Managing virtual teams: a review of current empirical research”, Human Resource Management Review, 15(1), 69-95.
    125. Igbaria, M., and Tan, M., (1997), The Consequences of the Information Technology Acceptance on Subsequent Individual Performance,” Information & Management, 32, pp.113-121.
    126. Inkpen, A. C., and Tsang, E. W. K., (2005), Social capital, networks and knowledge transfer. Academy of Management Review, 30(1), 146-165.
    127. Jewell, L. N. and Reitz, H. J. (1981), Group Effectiveness in Organizations,Illinois: Foresman and Company.
    128. Jarvenpaa, Sirkka. L.,(1989), The Effect of Task Demands and Graphical Format on Information Processing Strategies and Decision Making Performance. Management Science, 35, pp.285-303.
    129. Jackson, S. E., May, K. E. and Whitney, K.,(1995), Understanding the Dynamics of Diversity in Decision-Making Teams, in Team Effectiveness and Decision Making in Organizations, Guzzo, R. A. and Salas, E. (eds.), Jossey-Bass, San Francisco, pp. 7-261
    130. Jehn, K. A., & Shah, P. P. (1997). Interpersonal relationships and task performance: An examination of mediating processes in friendship and acquaintance groups. Journal of Personality and Social Psychology, 72, 775–790.
    131. Jarvenpaa, S. L. and Leidner, D. E., (1999), Communication and Trust in Global Virtual Teams. Organization Science, Vol. 10, No. 6, Nov-Doc, 791-815.
    132. Jehn, K. A., Northcraft, G. B., & Neale, M. A. (1999). Why differences make a difference: A field study of diversity, conflict, and performance in workgroups. Administrative Science Quarterly, 44(4), 741-763.
    133. Johnson, S. P., Menor, L. J. and Chase, R. B., (2000), A Critical Evaluation of the New Service Development Process : Integrating Service Innovation and Service Design, In Fitzsimmons, J. A. and M. J. Fitzsimmons (Eds.), New Service Development-Creating Memorable Experience, New Jersey: Sage Publications, 1-32.
    134. Janssen, O. (2000), Job demands, perceptions of effort-reward fairness, and innovative work behavior, Journal of Occupational and organizational psychology, 73, 287-302
    135. Jong, D. J., Bruins, A., Dolfsma, W. and Meijaard, J. (2003), “Innovation in service firms explored: what, how and why? The Netherlands Ministry of Economic Affairs, the research programme SMEs and Entrepreneurship,” EIM Busines and Policy Research.
    136. Jehn, K. and Bezrukova, K. (2004). A field study of group diversity, group context, and performance. Journal of Organizational Behavior, 25 (6): 703-729.
    137. Jarvenpaa, S. L., Shaw, T. R., & Staples, D. S., (2004), Toward contextualized theories of trust: The role of trust in global virtual teams. Information Systems Research, 15(3), 250–267.
    138. Jan, V., & Christian, Z., (2005), Introduction: Innovation in services. Industry and Innovation, 12(2), 00.147-152.
    139. Jarupathirun, S., & Zahedi, F. M., (2007), Exploring the influence of perceptual factors in the success of web-based spatial DSS, Decision Support Systems, 43(3), pp.933-951.
    140. Jaw, C., Lo, J., Lin, Y. (2010), "The determinants of new service development: service characteristics, market orientation, and actualizing innovation effort", Technovation, 30(4), 265-77.
    141. Keen, P. G. W. and Scott Morton, M. S., (1978). Decision support systems : an organizational perspective. Reading, Mass., Addison-Wesley Pub. Co.
    142. Kling, Rob., (1980), Social Analyses of Computing: Theoretical Perspectives in Recent Empirical Research, Computing Surveys, 12(1), pp.61-110.
    143. Kline, S. J. and Rosenberg, N. (1986), “An Overview of Innovation,” The National Academy of Sciences , pp. 275-305.
    144. Kirchmeyer, C. and Cohen, A.,(1992), Multicultural Groups: Their Performance and Reactions with Constructive Conflict, Group and Organizational Management, 17(2), pp.153 -170.
    145. Kaplan, R. S. and D.P. Norton (1992) The Balanced Scorecard: Measures that Drive Performance, Harvard Business Review, (January-February): 71-79.
    146. Kristof, A.L., Brown, G., and Sims, H. P. (1995). The Virual team: A Case Study and Inductive Model. Beyerlein, M.M., Johnson, D.A. Beyerlein, S.T., eds., Advances in Interdisciplinary Studies of Work Teams: Knowledge Work in Teams, Vol.2, JAI Press, Gresswich, CT, 229-253.
    147. Kim, C., and Suh, K., Lee, J., (1998), Utilization and user satisfaction in end-user computing: a task contingent model, Information Resources Management Journal, 11 (1), pp.11–24.
    148. Kline, T. J. B., & McGrath, J.-L., (1999), A review of the groupware literature: Theories, methodologies, and a research agenda. Canadian Psychology, 40 (3), pp. 265-271.
    149. Kahai, S.S. , Cooper, R., (2003), Exploring the Core Concepts of Media Richness Theory: The Impact of Cue Multiplicity and Feedback Immediacy on Decision Quality. In: Journal of Management Information Systems,20, p.263-299.
    150. Kanawattanachai, P. and Yoo, Y. (2007). "THE IMPACT OF KNOWLEDGE COORDINATION ON VIRTUAL TEAM PERFORMANCE OVER TIME." MIS Quarterly 31(4): 783-808.
    151. Kankanhalli, A., Tan, B. C. Y., & Wei, K. K., (2007). Conflict and performance in global virtual teams. Journal of Management Information Systems, 23(3), 237-274.
    152. Lovelock, C. H.(1983), “Classifying Services to Gain Strategic Marketing Insight.,” Journal of Marketing , 47, 9-20.
    153. Lipnack, J. and Stamps, J., (1997). Virtual teams. New York: John Wiley and Sons, Inc.
    154. Lipnack, Jessica, Stamps, Jeffrey, (1999),Virtual teams: The new way to work, Strategy & Leadership, Vol. 27 Iss: 1, pp.14-19.
    155. LePine JA, Hanson M, Borman WC, Motowidlo SJ. (2000). Contextual performance and teamwork: Implications for staffing. In Ferris GR, Rowland KM (Eds.), Research in personnel and human resources management (Vol. 19, pp. 53–90). Stamford, CT: JAI Press.
    156. Lurey, J. S. and Raisinghani, M. S., (2001), an empirical study of best practices in virtual teams Information and Management, 38, 523-544.
    157. Luecke, R. (2003). Harvard Business Essentials: Managing Creativity and innovation. NY: Harvard Business School Publishing Corporation.
    158. Lewis, K. (2004). "Knowledge and Performance in Knowledge-Worker Teams: A Longitudinal Study of Transactive Memory Systems." Management Science 50(11): 1519-1533.
    159. Leonard, J. S., Levine, D. I., & Joshi, A., (2004), Do birds of a feather shop together? The effects on performance of employees’ similarity with one another and with customers. Journal of Organizational Behavior, 25: 731–754.
    160. Lee, C. C., Cheng, H. K., Cheng, H. H., (2007), “An Empirical Study of Mobile Commerce in Insurance Industry: Task–Technology Fit and Individual Differences”, Decision Support Systems, vol.43, no.1, pp.95-110.
    161. Liang, T.P., Liu, C.C., Lin, T.M. and Lin, B.,(2007), Effect of Team Diversity on Software Project Performance, Industrial Management and Data Systems, 107(5), pp.636-653.
    162. Litchfield, R. C. (2008). Brainstorming reconsidered: A goal-based view. Academy of Management Review, 33, 649–668.
    163. Liang, T.P., Wu, C.H., Jiang, J.J. and Klein, G.,(2012), The Impact of Value Diversity on Information Systems Development Project, International Journal of Project Management, 30(2), pp. 731-739.
    164. McGrath, J. E., Kelly, J. R. and Machatka, D. E., (1984), The Social Psychology of time: Entrainment of behavior in social and organizational settings. In Oskamp, S. (ed.) Applied Social Psychology Annual, vol. 5, Beverly Hills, CA: SAGE Publishing Co., pp. 21–44.
    165. McGrath, J. E. (1964), Social Psychology: A Brief Introduction, New York:Holt, Rinehart and Winston.
    166. McGrath, J. E. (1984). Groups: Interaction and Performance. Inglewood, N. J.: Prentice Hall, Inc.
    167. March, James G., and Johan P. Olsen., (1986), Garbage Can Models of Decision Making in Organizations." In Ambiguity and Command. Organizational Perspectives on Military Decision Making, ed. James G. March and Roger Weissinger-Baylon. Marshfield, MA: Pitman, pp.11-35.
    168. Miller, J., & Doyle, B. A., (1987), Measuring the effectiveness of computer-based information systems in the financial services sector. MIS Quarterly, 11(1), pp.107-124.
    169. Moore, G. C., & Benbasat, I., (1991), Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), pp.192-222.
    170. McGrath, J. E. and Hollingshead, A. B. (1993). Putting the "Group" back in Group Support Systems: Some Theoretical Issues about Dynamic Processes in Groups with Technological Enhancements. In L. M. Jessup and J. S. Valacich (Eds.) Group Support Systems: New Perspectives (pp. 78–96). N.Y.: McMillan.
    171. Mullen, B., & Copper, C., (1994), The relationship between group cohesiveness and performance: An integration. Psychological Bulletin, 115, pp.210-227.
    172. McGrath, JE, Hollingshead AB. (1994). Groups Interacting with Technology. Sage Publications, Inc.: Thousand Oaks CA.
    173. Mayer, R. C., Davis, J. H. and Schoorman, F. D.,(1995), An Integrative Model of Organizational Trust, Academy of Management Review, 20(3), pp. 709- 734.
    174. Mohman, S.A., Cohen, S.G. & Mohrman, A.M., Sr (1995). Designing Team-Based Organizations. San Francisco: Jossey-Bass.
    175. Majchrzak, A., Rice, R. E., Malhotra, A., King, N., and Ba, S. (2000). Technology Adaptation: The Case of a Computer-supported inter-organizational virtual team. MIS Quarterly, 24(4), 569-600.
    176. McDonough, E., Kahn, K., and Barczak, G. (2001). “An Investigation of the Use of Global, Virtual, and Collocated New Product Development Teams,” The Journal of Product Innovation Management, Vol. 18, No.2, pp. 110-120.
    177. Maznevski, M. L. and Chudoba, K. M. (2001). Bridging Space Over Time: Global Virtual Team Dynamics and Effectiveness. Organization Science, 11(5), 473-492.
    178. Menor, L. J., Tatikonda M. V. and Sampson S. E., (2002), “New service development:areas for exploitation and exploration,” Journal of Operations Management, 20, 135-157.
    179. Murthy, U. S., and Kerr, D. S. (2004). Comparing audit team effectiveness via alternative modes of computer-mediated communication. Auditing, 23(1), 141–152.
    180. Miles, I., (2008), “Patterns of innovation in service industries,” IBM Systems Journal, 47 (1), 115-128.
    181. Moller, K., Rajala, R. (2008). Westerlund, M., Service innovation myopia? A new recipe for client-provider value creation, California Management Review, 50, pp.55–72.
    182. Mcgill, T. and Klobas, J., (2009), A task-technology fit view of learning management system impact, Computers & Education,52(2), pp. 496-508.
    183. Majchrzak, A., Cherbakov, L., & Ives, B., (2009), Harnessing the power of the crowds with corporate social networking tools: How IBM does it. MIS Quarterly Executive, 8(2), pp.103–108.
    184. Muethel, M., F. Siebdrat, et al. (2012). "When do we really need interpersonal trust in globally dispersed new product development teams?" RandD Management 42(1): 31-46.
    185. McDermott, C. M. & Prajogo, D.I., (2012), ‘Service Innovation and Performance in SMEs’, International Journal of Operations & Production Management. 32(2), pp. 216-237.
    186. Nieva, V. F., Fleishman, E. A. and Rieck, A. (1978), Team Dimensions: Their Identity, Their Measurement, and Their Relationship, Washington, DC: Advanced Research Resources Organizations.
    187. Nidumolu, Sarma R., (1995), The effect of coordination and uncertainty on software project performance: residual performance risk as an intervening variable, Information System Research, 6(3), 99, pp.191-219.
    188. Ollman, B., (1971), Alienation: Marx’s Conception of Man in Capitalist Society, Cambridge, USA: Cambridge University Press.
    189. Orlikowoski, W. J., and Robey, D., (1991), Information Technology and the Structuring of Organizations. Information Systems Research, 2 (2), pp.143-169
    190. Orlikowski, W. J., (1992), The duality of technology: Rethinking the concept of technology in organizations. Organ. Sci. 3(3) 398–427.
    191. Orlikowski, W.J. and Gash, D.C., (1994), Technological Frames: Making Sense of Information Technology in Organizations. ACM Transactions on Information Systems, 12(2), pp.174-207.
    192. Orlikowski, W. J., (1996), Improvising organizational transformation over time: A situated change perspective. Inform. Systems Res. 7(1) 63–92.
    193. Ostrom, A.L., Bitner, M.J., Brown, S.W., Burkhard , K.A., Goul, M., Smith-Daniels, V., Demirkan, H., Rabinovich, E., (2010), Moving forward and making a difference: research priorities for the science of service, Journal of Service Research 13, 4–36.
    194. Perrow, C., (1967), A framework for the comparative analysis of organizations. American Sociological Review, 32, 194–208.
    195. Pinfield, L. T., (1986), Afield evaluation of perspectives on organizational decision making, Administrative Science Quarterly, 31, pp. 365-388.
    196. Pasmore, W. A., (1988), Designing effective organizations:The sociotechnical system perspective, New York:John Wiley.
    197. Poole, M., & DeSanctis, G., (1990), Understanding the use of group decision support systems: The theory of adaptive structuration. In J. Fulk, & C. Steinfield (Eds.), Organizations and communication technology. 173-194.
    198. Pinto, M. B., Pinto, J. K. and Prescott, J. E., (1993), Antecedents and Consequences of Project Team Cross-Functional Cooperation, Management Science, 39(10), pp.1281-1297.
    199. Potter, R. E., and Balthazard, P. A., (2000), Supporting integrative negotiation via computer mediated communication technologies an empirical example with geographically dispersed Chinese and American negotiators. Journal of International Consumer Marketing, 12(4), pp. 7–32.
    200. Plsek, Paul E, and Wilson, Tim, (2001), Complexity, leadership, and management in Healthcare organizations, British Medical Journal, 323(7315), 746-750.
    201. Potter, R. E., and Pierre A. B.,(2002), “Understanding Human Interaction and Performance in the Virtual Teams,” The Journal of Information Technology Theory and Application, Vol. 4, No. 1, pp. 1-23.
    202. Powell, A., Pic c oli. G., and Ives, B., (2004), Virtual teams: a review of current literature and directions for future res earch. The Data bas e for Advances in Information Systems, 35, pp.6-36.
    203. Peters, L.M., Manz, C.C. (2007), "Identifying antecedents of virtual team collaboration", Team Performance Management, Vol. 13 No.3/4, pp.117-29.
    204. Panesar, S.S. and Markeset, T.,(2008), Development of a framework for industrial service innovation management and coordination. Journal of Quality in Maintenance Engineering, 14(2):177-193.
    205. Reichers, A. E., (1987), An interactionist perspective on newcomer socialization rates. Academy of Management Review, 12, pp.278–287.
    206. Rice, Ronald E. (1992). "Task Analyzability, Use of New Media, and Effectiveness: A Multi-Site Exploration of Media". Organization Science 3 (4): 475–500.
    207. Rice, Ronald E., (1993), Media appropriateness: Using social presence theory to compare traditional and new organizational media. Human Communication Research, 19(4), 451-484.
    208. Roth, A. V., Chase, R., and VOSS, C., (1997), Services in America: Progress Towards Global Service Leadership, Pillans and Wilson Greenaway, London, UK.
    209. Reagans, R., and McEvily, B., (2003), Network Structure and Knowledge Transfer: The Effects of Cohesion and Range. Administrative Science Quarterly, 48, 240-267.
    210. Rice, D.J., B.D. Davids o n 1, J.F. Dannenhoffer and G.K. Gay, (2007), Improving the Effectiveness of Virtual Teams by Adapting Team Process es. Computer Supported Cooperative Work, 16: 567-594.
    211. Short, J., Williams, E., & Christie, B., (1976), The social psychology of telecommunications. London: John Wiley & Sons.
    212. Pfeffer. J., and Salancik, G., (1978), The External Control of Organizations: A Resource Dependence Perspective. New York: NY. Haper and Row Publishers
    213. Szilagyi, A. O. and R. D. Waller(1980), Management and Performance, Goodyear Publishing, CA.
    214. Shaw, M. E.,(1981), Group dynamics: The psychology of small group behavior (3rd ed.). NY: McGraw-Hill.
    215. Seers, A., (1989), Team-member exchange quality: A new construct for role-making research. Organizational Behavior and Human Decision Processes, 43, pp.118-135.
    216. Saunders, C., and Jones, J. W., (1990), Temporal sequences in information acquisition for decision-making: a focus on source and medium, Academy of Management Review, 15, pp. 29-46.
    217. Sundstrom, E., Demeuse, K. P., and Futrell, D., 1990, Work teams:Applications and effectiveness. American Psychologist, 45(2), pp.120-133.
    218. Shalley, C. E. (1991). Effects of productivity goals, creativity goals, and personal discretion on individual creativity. Journal of Applied Psychology, 76, 179–185.
    219. Salas, E., Dickinson, T. L., Converse, S. A. , and Tannenbaum, S. I., (1992), Toward an understanding of team per formance and t raining. Teams: Thei r t raining and per formance, Westport , CT, US: Ablex Publ ishing.
    220. Scott, S.G., & R.A. Bruce, (1994), Determinants of innovative behavior: A path model of individual innovation in the workplace, Academy of Management Journal, 38, pp.1442-1465.
    221. Strauss, S. G., & McGrath, J. E., (1994), Does the medium matter? The interaction of task type and technology on group performance and member reactions, Journal of Applied Psychology, (79), pp.87-97.
    222. Storey C, and Daniel, E. (1997), “On-line Banking: Strategic and Management Challenges”, Long Range Planning, 30, 6, 890-898.
    223. Sundbo, J., and Gallouj, F., (1998), Innovation in Services SE4S Project synthesis Work package, 1998, 3-4, 19.
    224. Shirani, A. I., Tafti, M. H. A., and Affisco, J. F.,(1999), Task and technology fit: A comparison of two technologies for synchronous and asynchronous group communication. Information Management, 36(3), pp.139–150.
    225. Stewart , G. L. , and Barrick, M. R., (2000), Team Structure and Performance: Assessing the Mediat ing Role of Int rateam Process and the Moderat ing Role of Task Type. Academy of Management Journal , 43(2) , 135-148.
    226. Soloman, D. J., (2001), Conducting web-based surveys. Practical Assessment Research and Evaluat ion, 7(19), ISSN 1531-7714.
    227. Storey C, Kelly, David T. (2001), 'Measuring the Performance of New Service Development Activities: An Exploratory Study', Service Industries Journal, 21(2), p.71-90.
    228. Soloman, C.,(2001), Managing Virtual Teams. Workforce, 80(6), 60-65.
    229. Sarker, S. and S. Sahay, (2003), “Understanding Virtual Team Development: An Interpretive Study,”Journal of the Association for Information Systems 4, pp. 1-38.
    230. Syson, F., and Perks, H., (2004), New service development: A network perspective. Journal of Service Marketing, 18(4), 255-266.
    231. Shalley, C. E., Zhou, J., and Oldham, G. R. (2004). The effects of personal and contextual characteristics on creativity: Where should we go from here? Journal of Management, 30, 933–958.
    232. Sivunen , A. , and Val o , M., (2006), Team leade s’ technology choice in virtual teams. IEEE Transcact ions on Professional Communicat ion, 49(1), pp.57-68.
    233. Skipper, C.O. and Bell, L.C., (2006a), “Assessment with 3608 evaluations of leadership behavior in construction project managers”, Journal of Management in Engineering, Vol. 22 No. 2, pp. 75-80.
    234. Skipper, C. and Bell, L.C., (2008), “Leadership development and succession planning”, Leadership and Management in Engineering, 8(2), pp. 77-84.
    235. Shachaf, P., (2008), Cultural diversity and in fo rma tio n and communication technology impacts on global virtual teams: An exploratory study. Information and Management, 45, pp.131-142.
    236. Seibert, S.E., Wang, G. and Courtright, S.H., (2011), “Antecedents and consequences of psychological and team empowerment in organizations: a meta-analytic review”, Journal of Applied Psychology, Vol. 96 No. 5, pp. 981-1003.
    237. Sosa, M.E.,(2011), Where Do Creative Interactions Come From? The Role of Tie Content and Social Networks. Organization Science, 22(1), pp.1-21.
    238. Thompson, J. D. (1967). Organizations in action. New York: McGraw-Hill.
    239. Tushman, M. L., Nadler, D. A.,(1978), Information Processing as an integrating concept in organizational Design, Academy of Management review, pp. 613-624.
    240. Trevino, L. K., Lengel, R. H., and Daft, R. L., (1987), Media symbolism, media richness, and media choice in organizations: A symbolic interactionist perspective. Communication Research, 14(5), pp. 553-574.
    241. Tornatzky, L. G., & Klein, K. J., (1982), Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings. IEEE Transactions on Engineering Management, 29(1), pp.28-45.
    242. Trice, A. W. & Treacy, M. E., (1988),Utilization as a dependent variable in MIS research. Data Base, 33-41.
    243. Tjosvold, D., (1988a), Cooperative and competitive interdependence, collaboration between departments to serve customers Samenwerken en Organisatiecultuur 100 Gemeente Breda Group & Organizationstudies, 13 (3), 274-289.
    244. Tjosvold, D. (1988b) Cooperation and competitive dynamics within and between organizational units Human Relations, 41, 425-436
    245. Trevino, L., Daft, R. L., & Lengel, R. H. (1990). Understanding managers’media choices: A symbolic interactionist perspective. In J. Fulk & C. W. Steinfield (Eds.), Organizations and communication technology (pp. 71-95). Newbury Park, CA: Sage.
    246. Thompson, R. L., Higgins, C. A. and Howell, J.M., (1991), Personal Computing: Toward a Conceptual Model of Utilization. MIS Quarterly, 15 (1), pp.125 -143.
    247. Tax, S.S., Stuart, F.I., (1997), Designing and implementing new services: the challenges of integrating service systems. Journal of Retailing 73 (1), 105–134.
    248. Tuckman, Bruce W., & Jensen, Mary Ann C. (1977), Stages of small group development revisited, Group and Organizational Studies, 2, 419- 427.
    249. Torkzadeh, G., Van Dyke, T.P., (2001), Development and validation of an Internet self-efficacy scale, Behavior and Information Technology, 20,pp. 275–280.
    250. Tether, B. S., (2002), Who co-operates for innovation, and why: A empirical analysis. Research Policy, 31(4), 947-967.
    251. Thatcher, J.B. & Perrewe, P.L., (2002),An empirical examination of individual traits as antecedents to computer anxiety and computer self-efficacy. MIS Quarterly, 26(4), pp.381- 396.
    252. Tidd & Hull (2003) Service Innovation: Organizational Responses to Market Imperatives and Technological Opportunities. Imperial College Press, London.
    253. Toivonen, M. and Tuominen, T., (2006), Emergence of innovations in services: theoretical discussion and two case studies. Presentation in International ProACT Conference Innovation Pressure–Rethinking Competitiveness, Policy and the Society in a Globalised Economy, 15-17.
    254. Tsai, Y. C., (2006), Effect of social capital and absorptive capability on innovation in internet marketing. International Journal of Management, 23(1), 157-166.
    255. Toor, S.R. and Ofori, G., (2008a), “Tipping points that inspire leadership: an exploratory study of emergent project leaders”, Engineering, Construction and Architectural Management, Vol. 15 No. 3, pp. 212-29.
    256. Toor, S.R. and Ofori, G., (2008b), “Leadership for future construction industry: agenda for authentic leadership”, International Journal of Project Management Vol., Vol. 26 No. 6, pp. 620-30.
    257. Toor, S.R. and Ofori, G., (2008c), “Taking leadership research into future: a review of empirical studies and new directions for research”, Engineering Construction and Architectural Management, Vol. 15 No. 4, pp. 352-71.
    258. Tekes,Service innovations: A definition. (available on http ://akseli.tekes.fi/opencms/opencms/OhjelmaPortaali/ohjelmat/Serve/en/etusivu.html, 2007.
    259. Thatcher, S. and Brown, S.A., (2010), Individual creativity in teams: The importance of communication media mix. Decision Support Systems, 49, 3, 290-300.
    260. Thomas, D. M. and R. P. Bostrom, (2010), Vital signs for virtual teams: an empirically developed trigger model for technology adaptation interventions, MIS Quarterly, 34(1), pp. 115-142.
    261. The GartnerGroup,(2011), PPM Market UNIVERSE: Techniques and Tools for Project Collaboration [online]. Available from: http://www.gartner.com/id=1714619 [Accessed 15 August 2012].
    262. Venkatraman, N .,(1989), 'The concept of fit in strategy research: Toward verbal and statistical correspondence', Academy of Management Review, 14(3), 423-444.
    263. Vessey, I., and Galletta, D.,(1991), Cognitive Fit: An Empirical Study of Information Acquisition, Information Systems Research, 2(1), pp. 63-84.
    264. Voss, C., R. Johnston, R. Silvestro, L. Fitzgerald, and T. Brignall, (1992), “Measurement of innovation and design performance in service,” Design Management Journal. 40-46.
    265. Venkatraman, N.,(1994), "IT-enable Business Transformation: From Automation to Business Scope Redefinition." Sloan Management Review, V. 35, N. 2, P. 73-87.
    266. Vermeulen, P.A.M., (2001), “Organizing Product Innovation in Financial Services,” Nijmegen University Press.
    267. Vickery, Shawnee K., Droge, Cornelia, Stank, Theodore P., Goldsby, Thomas J., and Markland, Robert E., (2004), Media Richness in a Business-to-Business Service Environment: Direct versus Indirect Effects, Management Science, 50(8), pp.1106-1119.
    268. Vang, J., & Zellner, C. (2005). Introduction: Innovation in services. Industry and Innovation, 12(2), 147–152.
    269. Withey, M., Daft, R., and Cooper, W., (1983), Measures of Perrow's Work Unit Technology: An Empirical Assessment and a New Scale, Academy of Management Journal, 26(1), 45-63.
    270. Watson, W. E. and Michaelsen, L. K.,(1988), Group Interaction Behaviors that Affect Group Performance on an Intellectual Task, Group & Organization Management,13(4), pp. 495-516.
    271. Weick, K. E. and Van Orden, P. W., (1990). "Organizing on a global scale: A research and teaching agenda." Human Resource Management 29(1), pp. 49-61.
    272. Walther, J. B., (1992), Interpersonal effects in computer-mediated interaction: A relational perspective. Communication Research, 19, pp. 52-90.
    273. Watson, W. E., Kumar, K., & Michaelsen, L. K., (1993), Cultural diversity’s impact on interaction process and performance: comparing homogeneous and diverse task groups. Academy of Management Journal, 36, pp.590– 602.
    274. Woodman, R. W., J. E. Sawyer, et al., (1993), Toward a Theory of Organizational Creativity" The Academy of Management Review, 18(2), pp.293-321.
    275. Watson, W. E., Kumar, K. and Michaelsen, L. K.,(1993), Cultural Diversity´s Impact on Interaction Process and Performance, Academy of Management Journal, 36(3), pp.590-602.
    276. Workman, M., Kahnweiler W., and Bommer, W., (2001), The effects of cognitive style and media richness on commitment to telework and virtual teams. Journal of Vocational Behavior, 63, 199–219.
    277. Wietze, Van der Aa, and Elfring Tom, (2002),“Realizing Innovation in Services,”Scandinavian Journal of Management, 18, 155-171.
    278. Wise, K., Hamman, B. and Thorson, K., (2006). Moderation, Response Rate, and Message Interactivity: Features of Online Communities and Their Effects on Intent to Participate. Journal of Computer-Mediated Communication, Vol. 12, No. 1, pp. 24-41
    279. Wolfendale, J., (2007), My avatar, myself: Virtual harm and attachment. Ethics and Information Technology, 9(2), 111.
    280. Webster, J. and Wong, W.K.P.,(2008), Comparing traditional and virtual group forms: identity, communication and trust in naturally occurring project teams, The International Journal of Human Resource Management, 19(1), pp.41-62.
    281. Walvoord, A. A. G., Redden, E. R., Elliott, L. R., and Coovert, M.D., (2008), Empowering followers in virtual teams: Guiding principles from theory and practice. Computers inHuman Behavior, 24(5), pp.1884–1906.
    282. Yalom, I. D. (1995). The theory and practice of group psychotherapy (4th ed.). NY: Harper Collins Publishers, Inc.
    283. Zigurs, I., and Buckland, B. K.,(1998), A Theory of Task/Technology Fit and Group Support Systems Effectiveness." MIS Quarterly 22(3), pp. 313-334.
    284. Zigurs, I., Buckland, B. K., Connolly, J. R., and Wilson, E. V.,(1999), A Test of Task-Technology Fit Theory for Group Support Systems, Database for Advances in Information Systems, 30(3/4), pp. 34-51.
    285. Zeithaml, V.A., Bitner, M.J.,(2003), Services Marketing: Integrating Customer Focus across the Firm, third ed. McGraw-Hill, New York.
    286. Zhou, J., (2003), When the presence of creative coworkers is related to creativity: Role of supervisor close monitoring, developmental feedback, and creative personality. Journal of Applied Psychology, 88, pp.413–422.
    口試委員
  • 賴香菊 - 召集委員
  • 嚴秀茹 - 委員
  • 洪新原 - 委員
  • 邱兆民 - 委員
  • 梁定澎 - 指導教授
  • 口試日期 2015-07-27 繳交日期 2015-08-12

    [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