博碩士論文 103423031 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:41 、訪客IP:3.145.84.96
姓名 周依佳(Yi-Chia Chou)  查詢紙本館藏   畢業系所 資訊管理學系
論文名稱 探討軟體專案團隊知識吸收能力對於流程調適與專案績效之影響
(The Effects of Absorptive Capacity of Software Project Teams on Project Performance:the Mediating Role of Process Tailoring)
相關論文
★ 專案管理的溝通關鍵路徑探討─以某企業軟體專案為例★ 運用並探討會議流如何促進敏捷發展過程中團隊溝通與文件化:以T銀行系統開發為例
★ 專案化資訊服務中人力連續派遣決策模式之研究─以高鐵行控資訊設備維護為例★ 以組織正義觀點介入案件指派決策之研究
★ 應用協調理論建立系統軟體測試中問題改善之協作流程★ 應用案例式推理於問題管理系統之研究 -以筆記型電腦產品為例
★ 運用限制理論於多專案開發模式的人力資源配置之探討★ 應用會議流方法於軟體專案開發之個案研究:以翰昇科技公司為例
★ 多重專案、多期再規劃的軟體開發接案決策模式:以南亞科技資訊部門為例★ 會議導向敏捷軟體開發及系統設計:以大學畢業專題為例
★ 一種基於物件、屬性導向之變更影響分析方法於差異化產品設計★ 會議流方法對大學畢業專題的團隊合作品質影響之實驗研究
★ 實施敏捷式發展法於大學部畢業專題之 行動研究 – 以中央大學資管系為例★ 建立一個用來評核自然語言需求品質的線上資訊系統
★ 結合本體論與模糊分析網路程序法於軟體測試之風險與風險關聯辨識★ 在軟體反向工程中針對UML結構模型圖之線上品質評核系統
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   [檢視]  [下載]
  1. 本電子論文使用權限為同意立即開放。
  2. 已達開放權限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。
  3. 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。

摘要(中) 軟體專案具有其獨特性,因此專案團隊在進行軟體開發時,通常需要進行流程調適。許多文獻指出,軟體流程調適為一項複雜且知識密集的活動。若組織能夠善加利用過去成功的流程調適經驗,將能提升日後流程調適的效率及效用。因此,在進行流程調適時,除了需要具備相關知識外,還需仰賴團隊所具備之吸收能力。團隊知識吸收能力指的是專案團隊辨識外部資訊價值,吸收它並將之應用到專案的能力。其除了能幫助團隊更順利地進行流程調適外,還能促進專案整體績效。

綜合上述,本研究提出一概念模型來討論信任、創新、溝通品質、先前知識與經驗是否會對團隊吸收能力造成影響,進而影響到調適績效及專案績效。本研究採用線上問卷收集樣本,一共回收了 192 份問卷,後續採用偏最小平方法進行資料分析。研究結果顯示:信任、創新、團隊經驗對於吸收能力皆有正向影響,但溝通品質對於吸收能力之影響是有限的。另外,還驗證了吸收能力與專案績效間之關係會受到軟體流程調適的中
介影響。
摘要(英) Software projects has uniqueness in nature, and they have different characteristics, such as team size, complexity, project time, etc. When developing new software projects, project teams need to tailor the software processes to fit the project characteristics. Many studies show that
software process tailoring is complex and knowledge intensive. If project teams have some prior experience, it will improve consequent process tailoring task more effective and efficient. Therefore, conducting software process tailoring not only needs related knowledge, but relies on team member′s absorptive capacity. Absorptive capacity is defined as an ability to recognize the value of new information, assimilate it, and apply it to business process, such as software development process.

In this regard, this research proposes a research model to discuss what construct may impact
absorptive capacity, process tailoring performance and even project performance. This research
adapts online survey to collect data sample, and uses PLS method to analyze the data collected.
Finally, a total of 192 usable questionnaires for analysis. The results imply that trust,
innovativeness and team experience has positive impact on absorptive capacity, but
communication quality doesn′t have significant impact on absorptive capacity. Moreover, this
research also validates that software process tailoring performance is regarded as the mediator
on the relationship between absorptive capacity and project performance.
關鍵字(中) ★ 軟體開發
★ 知識吸收能力
★ 團隊經驗
★ 軟體流程調適
★ 專案績效
關鍵字(英) ★ Software Project Development
★ Absorptive Capacity
★ Team Experience
★ Project Performance
★ Software Process Tailoring
論文目次 摘要....................................................i
Abstract...............................................ii
圖目錄..................................................v
表目錄.................................................vi
第一章、 緒論........................................1
1.1 研究背景.....................................1
1.2 研究問題與目的................................2
1.3 論文架構.....................................4
第二章、 文獻探討與假說...............................5
2.1 知識吸收能力..................................5
2.2 專案績效.....................................8
2.3 軟體流程調適績效.............................10
2.4 吸收能力與軟體流程調適績效....................12
2.5 信任、創新、溝通品質與團隊經驗.................14
第三章、 研究方法...................................18
3.1 資料收集與樣本...............................18
3.2 變數定義....................................19
3.3 資料分析方法................................20
第四章、 資料分析與結果..............................23
4.1 測量模型(Measurement Model)...............25
4.2 結構模型(Structural Model)................30
第五章、 結果與討論................................35
5.1 理論涵.....................................36
5.2 實務涵.....................................40
第六章、 研究限制與未來發展.........................43
參考文獻.............................................44
附錄一、問卷量表......................................53
參考文獻 Adams, J. R., & Barnd, S. E. (2008). Behavioral Implications of the Project Life Cycle, in Project Management Handbook, Second Edition (D. I. Cleland & W. R. King Eds.). New Jersey: John Wiley & Sons, Inc.

Barclay, D., Higgins, C., & Thompson, R. (1995). The partial least squares (PLS) approach to causal modeling: Personal computer adoption and use as an illustration. Technology studies, 2(2), 285-309.

Bock, G.W., Zmud, R.W., Kim, Y.G. and Lee, J.N. (2005), ‘‘Behavioral intention formation in knowledge sharing: examing the roles of extrinsic motivators, social psychological forces, and organizational climate’’, MIS Quarterly, Vol. 29 No. 1, pp. 87-111.

Cavaliere, V., Lombardi, S., & Giustiniano, L. (2015). Knowledge sharing in knowledge-intensive manufacturing firms. An empirical study of its enablers. Journal of Knowledge Management, 19(6), 1124-1145.

Cerpa, N., & Verner, J. M. (2009). Why did your project fail?. Communications of the ACM, 52(12), 130-134.

Cheung, M. J., Kovačević, N., Fatima, Z., Mišić, B., & McIntosh, A. R. (2016). [MEG] PLS: A pipeline for MEG data analysis and partial least squares statistics. NeuroImage, 124, 181-193.

Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern methods for business research, 295(2), 295-336.

Cohen, W. M., & Levinthal, D. A. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative science quarterly, 128-152.

Cummings, J. N. (2004). Work groups, structural diversity, and knowledge sharing in a global organization. Management science, 50(3), 352-364.

Dayan, M., & Di Benedetto, C. A. (2011). Team intuition as a continuum construct and new product creativity: The role of environmental turbulence, team experience, and stress. Research Policy, 40(2), 276-286. Fornell, C., & Cha, J. (1994). Partial least squares. Advanced methods of marketing research,
407(3), 52-78.

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 39-50.

Fuggetta, A. (2000, May). Software process: a roadmap. In Proceedings of the Conference on the Future of Software Engineering (pp. 25-34). ACM.

Gibbert, M., & Krause, H. (2002). Practice exchange in a best practice marketplace. Knowledge management case book: Siemens best practices, 89-105.

Ginsberg, M. P., & Quinn, L. H. (1995). Process Tailoring and the the Software Capability Maturity Model.

Grant, R. M. (1996). Prospering in dynamically-competitive environments: Organizational capability as knowledge integration. Organization science, 7(4), 375-387.

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, 19(2), 139-152.

Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the academy of marketing science, 40(3), 414-433.

Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: updated guidelines. Industrial management & data systems, 116(1), 2-20.

Henseler, J., Ringle, C. M., & Sarstedt, M. (2014). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135.

Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. Advances in international marketing, 20(1), 277-319.

Herbsleb, J. D., & Mockus, A. (2003). An empirical study of speed and communication in globally distributed software development. IEEE Transactions on software engineering, 29(6), 481-494.

Hsu, L. C., & Wang, C. H. (2012). Clarifying the effect of intellectual capital on performance: the mediating role of dynamic capability. British Journal of Management, 23(2), 179-205.

Hsu, M. H., Ju, T. L., Yen, C. H., & Chang, C. M. (2007). Knowledge sharing behavior in virtual communities: The relationship between trust, self-efficacy, and outcome expectations. International journal of human-computer studies, 65(2), 153-169.

Humphrey, W.S. (2000). The team software process. Technical Report, CMU/SEI-2000-TR-023.

Hung, C. L., Kuo, S. J., & Dong, T. P. (2013). The relationship between team communication, structure, and academic R&D performance: empirical evidence of the national telecommunication program in Taiwan. R&D Management, 43(2), 121-135.

Jones, M. C., & Harrison, A. W. (1996). IS project team performance: an empirical assessment. Information & Management, 31(2), 57-65.

Jurison, J. (1999). Software Project Management: The manager’s view. Communications of AIS, 2(17).

Katzenbach, J. R., & Smith, D. K. (1993). The discipline of teams. Harvard Business Press.

Keyton, J., & Springston, J. (1990). Redefining cohesiveness in groups. Small Group Research,
21(2), 234-254.

Lane, P., Koka, B. and Pathak, S. (2006), “The reification of absorptive capacity: a critical review and rejuvenation of the construct”, Academy of Management Review, Vol. 31, No. 4, pp. 833-863.

Lee, J. C., Shiue, Y. C., & Chen, C. Y. (2016). Examining the impacts of organizational culture and top management support of knowledge sharing on the success of software process improvement. Computers in Human Behavior, 54, 462-474.

Loo, R. (2003). Assessing “team climate” in project teams. International Journal of Project Management, 21(7), 511-517.

Lucas, L. M. (2005). The impact of trust and reputation on the transfer of best practices. Journal of Knowledge Management, 9(4), 87-101.

Moe, N. B., Dingsøyr, T., & Dybå, T. (2010). A teamwork model for understanding an agile team: A case study of a Scrum project. Information and Software Technology, 52(5), 480-491.

Nanda, V. (2001). On tailoring an organizational standard software development process for specific projects. In Proceedings of the 11th International Conference on Software Quality (pp. 1-13).

Park, S., Na, H., Park, S., & Sugumaran, V. (2006). A semi-automated filtering technique for software process tailoring using neural network. Expert Systems with Applications, 30(2), 179-189.

Parolia, N., Goodman, S., Li, Y., & Jiang, J. J. (2007). Mediators between coordination and IS project performance. Information & Management, 44(7), 635-645.

Parolia, N., Goodman, S., Li, Y., & Jiang, J. J. (2007). Mediators between coordination and IS project performance. Information & Management, 44(7), 635-645.

Pavlou, P. A., Liang, H., & Xue, Y. (2006). Understanding and mitigating uncertainty in online environments: a principal-agent perspective. MIS quarterly, 31(1), 105-136.

Pinto, J. K., & Slevin, D. P. (1988). Project success: definitions and measurement techniques. Project Management Institute.

Polo, M., Piattini, M., Ruiz, F., & Calero, C. (1999). MANTEMA: A software maintenance methodology based on the ISO/IEC 12207 standard. In Software Engineering Standards, 1999. Proceedings. Fourth IEEE International Symposium and Forum on (pp. 76-81).

Popaitoon, S., & Siengthai, S. (2014). The moderating effect of human resource management practices on the relationship between knowledge absorptive capacity and project performance in project-oriented companies. International Journal of Project Management, 32(6), 908-920.

Reinartz, W., Haenlein, M., & Henseler, J. (2009). An empirical comparison of the efficacy of covariance-based and variance-based SEM. International Journal of research in Marketing, 26(4), 332-344.

Ringle, C. M. (2004). Gütemaße für den Partial-least-squares-Ansatz zur Bestimmung von Kausalmodellen. Univ. Hamburg, Inst. für Industriebetriebslehre und Organisation,
Arbeitsbereich Industrielles Management.

Ringle, C. M., Sarstedt, M., & Straub, D. (2012). A critical look at the use of PLS-SEM in MIS Quarterly. MIS Quarterly, 36(1).

Ringle, C. M., Wende, S., & Will, A. (2005). SmartPLS 2.0 M3 (beta). Hamburg, Germany: University of Hamburg.

Roberts, N., Galluch, P. S., Dinger, M., & Grover, V. (2012). Absorptive Capacity and
Information Systems Research: Review, Synthesis, and Directions for Future Research. MIS quarterly, 36(2), 625-648.

Rodriguez, D., Sicilia, M. A., Garcia, E., & Harrison, R. (2012). Empirical findings on team size and productivity in software development. Journal of Systems and Software, 85(3), 562-570.

Sapsed, J., Bessant, J., Partington, D., Tranfield, D., & Young, M. (2002). Teamworking and knowledge management: a review of converging themes. International journal of management reviews, 4(1), 71-85.

Sosa, M. E., Gargiulo, M., & Rowles, C. (2015). Can informal communication networks disrupt coordination in new product development projects? Organization Science, 26(4), 1059-1078.

Srivannaboon, S. (2006, July). Toward a contingency approach: Tailoring project management to achieve a competitive advantage. In Technology Management for the Global Future, 2006. PICMET 2006 (Vol. 5, pp. 2187-2194).

Stewart, K. J., & Gosain, S. (2006). The impact of ideology on effectiveness in open source software development teams. Mis Quarterly, 291-314.

Subramanian, G. H., Jiang, J. J., & Klein, G. (2007). Software quality and IS project
performance improvements from software development process maturity and IS implementation strategies. Journal of Systems and Software, 80(4), 616-627.

Tenenhaus, M., Vinzi, V. E., Chatelin, Y. M., & Lauro, C. (2005). PLS path modeling.
Computational statistics & data analysis, 48(1), 159-205.
Toft-Kehler, R., Wennberg, K., & Kim, P. H. (2014). Practice makes perfect: Entrepreneurial-experience curves and venture performance. Journal of Business Venturing, 29(4), 453-470.

Turner, R., Huemann, M., & Keegan, A. (2008). Human resource management in the project-oriented organization: employee well-being and ethical treatment. International Journal of Project Management, 26(5), 577-585.

Tüzün, E., & Tekinerdogan, B. (2015). Analyzing impact of experience curve on ROI in the software product line adoption process. Information and Software Technology, 59, 136-148.

Urbach, N. and Ahlemann, F. (2010), “Structural equation modeling in information systems research using partial least squares”, Journal of Information Technology Theory and Application, Vol. 11 No. 2, pp. 5-40.

Vega‐Jurado, J., Gutiérrez ‐Gracia, A., & Fernández ‐de‐ Lucio, I. (2008). Analyzing the determinants of firm′s absorptive capacity: beyond R&D. R&D Management, 38(4), 392-405.

Wang, E. T., Chen, H. H., Jiang, J. J., & Klein, G. (2005). Interaction quality between IS
professionals and users: impacting conflict and project performance. Journal of Information Science, 31(4), 273-282.

Wang, S., & Noe, R. A. (2010). Knowledge sharing: A review and directions for future research. Human Resource Management Review, 20(2), 115-131.

Xia, W., & Lee, G. (2004). Grasping the complexity of IS development projects. Communications of the ACM, 47(5), 68-74.

Xu, P. (2005, January). Knowledge support in software process tailoring. In Proceedings of the 38th Annual Hawaii International Conference on System Sciences (pp. 87c-87c).

Xu, P., & Ramesh, B. (2003). A tool for the capture and use of process knowledge in process tailoring. In System Sciences, 2003. Proceedings of the 36th Annual Hawaii International Conference on (pp. 7-pp).

Xu, P., & Ramesh, B. (2007). Software process tailoring: an empirical investigation. Journal of Management Information Systems, 24(2), 293-328

Xu, P., & Ramesh, B. (2008). Impact of knowledge support on the performance of software
process tailoring. Journal of Management Information Systems, 25(3), 277-314.

Xue, Y., Bradley, J., & Liang, H. (2011). Team climate, empowering leadership, and knowledge sharing. Journal of knowledge management, 15(2), 299-312.

Yoon, I. C., Min, S. Y., & Bae, D. H. (2001). Tailoring and verifying software process. In Software Engineering Conference, 2001. APSEC 2001. Eighth Asia-Pacific (pp. 202-209).

Zahra, S. and George, G. (2002). “Absorptive capacity: a review, reconceptualization, and
extension”. Academy of Management Review, Vol. 27, No. 2, pp. 185–203.
指導教授 陳仲儼(Chung-Yang Chen) 審核日期 2016-8-16
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明