博碩士論文 974401020 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:18 、訪客IP:
姓名 陳佩宜(Pei-yi Chen)  查詢紙本館藏   畢業系所 企業管理學系
論文名稱 資訊科技對知識創造影響之研究-探討社會鑲嵌的中介效果
(Effects of Information Technology Functionalities on Knowledge Creation in New Product Development Teams: The Mediating Role of Social Embeddedness)
★ 以第四方物流經營模式分析博連資訊科技股份有限公司★ 探討虛擬環境下隱性協調在新產品導入之作用--以電子組裝業為例
★ 動態能力機會擷取機制之研究-以A公司為例★ 探討以價值驅動之商業模式創新-以D公司為例
★ 物聯網行動支付之探討-以Apple Pay與支付寶錢包為例★ 企業資訊方案行銷歷程之探討-以MES為例
★ B2C網路黏著度之探討-以博客來為例★ 組織機制與吸收能力關係之研究-以新產品開發專案為例
★ Revisit the Concept of Exploration and Exploitation★ 臺灣遠距醫療照護系統之發展及營運模式探討
★ 資訊系統與人力資訊科技資源對供應鏈績效影響之研究-買方依賴性的干擾效果★ 資訊科技對公司吸收能力影響之研究-以新產品開發專案為例
★ 探討買賣雙方鑲嵌關係影響交易績效之機制 ─新產品開發專案為例★ 資訊技術運用與協調能力和即興能力 對新產品開發績效之影響
★ 團隊組成多元性影響任務衝突機制之研究─ 以新產品開發專案團隊為例★ 社會鑲嵌與團隊衝突影響產品創新與效用之研究
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]   至系統瀏覽論文 ( 永不開放)
摘要(中) 本研究引用Nonaka的知識創造理論即隱性知識及外顯知識不斷的互動,經由社會化、外顯化、結合化及內隱化的知識轉換模式。透過個人、團隊、組織等不同的層次擴散形成「知識螺旋」,以促成知識的分享、累積及創造。本研究並分別量測資訊科技及社會鑲嵌對「知識創造」的四個模式:「社會化、外顯化、結合化、內隱化」的影響。資訊科技對於顯性知識轉換有較大的幫助。在隱性知識轉換上,資訊科技必須透過鑲嵌關係才能在知識創造表現上有佳的表現,導因為隱性知識是難以形式化,無法用文字或資訊媒體、圖像等工具表達清楚仍必須透過人來傳遞。因此本研究認為資訊科技與知識創造之間存在一個關鍵的中介變數為團隊成員鑲嵌關係。本研究除了證實資訊科技及社會鑲嵌對知識創造是否有正向影響,並將更進一步探討社會鑲嵌這個中介變數。研究結果顯示:一、新產品開發團隊在較好「鑲嵌關係」下對知識創造表現(社會化、外顯化、結合化及內隱化)分別有較優異的表現。二、「資訊科技」對於「知識結合化」及「知識內隱化」有較優異的表現,但對於「知識社會化」及「知識外顯化」影響不顯著。三、「社會鑲嵌」為重要的中介變數,即資訊科技透過社會鑲嵌分別在知識創造表現「社會化、外顯化、結合化、內隱化」都有較優異的表現。本研究隨後針對所獲的研究結果進行討論,並說明對實務之意涵。
摘要(英) In this study we draw on Nonaka’s knowledge creation theory which includes four types of knowledge conversion modes: socialization, externalization, combination, and internalization. Knowledge spiral should be formed through diffusions at various levels such as individual, team, and organization in order to achieve sharing, accumulation and creation of knowledge. In this study we also measure the influences of information technology and social embeddedness on the four modes of “knowledge creation”: socialization, externalization, combination, and internalization. Information technology is more helpful to conversion of explicit knowledge. As for the conversion of tacit knowledge, only through embedded relationship can the information technology perform well in terms of knowledge creation. This is because it is difficult to formalize tacit knowledge, and it cannot be clearly presented by tools such as texts, images, or information media. Therefore in this study we believe there is a key mediated variable between information and knowledge creation, which is the embedded relationships among team members. In addition to prove positive impacts of information technology and social embeddedness on knowledge creation, in this study we will further investigate the mediator of social embeddedness. The results of this study show that:
1. New product development team performs better on the four types of knowledge conversion modes under better “embedded relationship”.
2. “Information technology” performs better on combination and internalization, but is has rather insignificant impacts on socialization and externalization.
3. Social embeddedness is an important mediator, meaning that information technology performs better on socialization, externalization, combination, and internalization through social embeddedness.
Later on there will be discussions with respect to these results of this study, and the practical meetings will be explained.
關鍵字(中) ★ 社會鑲嵌
★ 資訊科技
★ 知識創造
關鍵字(英) ★ Social embeddedness
★ Knowledge sharing
★ Information technology
論文目次 摘要 I
1. Introduction 1
2. Theoretical Background and Literature Review 4
3. Research Model and Hypotheses 7
3.1 Social Embeddedness 7
3.2 IT Functionalities 14
3.3 Full Mediating Effects of Social Embeddedness 18
3.4 Partial Mediating Effects of Social Embeddedness 19
4. Methodology 21
4.1 Measures 21
4.2 Pre-test 21
4.3 Data Collection Procedure 22
5 Data Analysis and Results 24
5.1 Non-response Bias 24
5.2 Multivariate Normality 24
5.3.1 Formative Constructs 25
5.3.2 Reflective Constructs 31
5.4 Common Method Bias 33
5.5 Assessment of Structural Model 34
5.6 Mediation analysis 34
6 Conclusion and Implications 39
6.1 Conclusion 39
6.2 Implications 41
Reference 42
Appendix A: Questionnaire 51
Appendix B: Common method bias analysis 53
參考文獻 Ahuja, M. K., & Carley, K. M. (1999). Network structure in virtual organizationsNetwork Structure in Virtual Organizations, (757 ed., Vol. 10, pp. 741-757).
Alavi, M., & Leidner, D. E. (2001). Review: Knowledge management and knowledge management systems: Conceptual foundations and research issues. MIS Quarterly, 25(1).
Alavi, M., & Tiwana, A. (2002). Knowledge Integration in Virtual Teams: The Potential Role of KMS. Journal of the American Society for Information Science and Technology, 53(12), 1029-1037.
Ancona, D. G., & Caldwell, D. F. (1992). Demography and design: Predictors of new product team performance. Organization Science, 3, 321-341.
Armstrong, J. S., & Overton, T. S. (1977). Estimating nonresponse bias in mail surveys. Journal of Marketing Research, 14(3), 396-402.
Bagozzi, R. P., & Fornell, C. (1982). Theoretical Concepts, Measurement, and Meaning. In C. Fornell (Ed.), A Second Generation of Multivariate Analysis. New York: Praeger.
Bailey, K. D. (1987). Methods of Social Research. Retrieved from
Barclay, D., Higgins, C., & Thompson, R. (1995). The partial least squares approach (PLS) to causal modeling, personal computer adoption and use as an illustration. Technology Studies, 2(2), 285-309.
Barroso, C., Carrión, G. C., & Roldán, J. L. (2010). Applying Maximum Likelihood and PLS on Different Sample Sizes: Studies on SERVQUAL Model and Employee Behavior Model. In V. E. Vinzi, W. W. Chin, J. Henseler & H. Wang (Eds.), Handbook of Partial Least Squares (pp. 427-447): Springer Handbooks of Computational Statistics.
Baumard, P. (1999). Tacit Knowledge in Organizations
Blumenberga, S., Wagnerb, H.-T., & Beimborn, D. (2009). Knowledge transfer processes in IT outsourcing relationships and their impact on sharedknowledge and outsourcing performance. International Journal of Information Management, 29(5), 342-352.
Boisot, M. (1998). Knowledge Assets: Securing Competitive Advantage in the Information Economy O. U. Press (Ed.)
Bollen, K., & Lennox, R. (1991). Conventional Wisdom on Measurement: A Structural Equation Perspective. Psychological Bulletin, 110(2), 305-314.
Bryant, S. E. (2005). The impact of peer mentoring on organizational knowledge creation and sharing:
an empirical study in a software firm. Group and Organization Managemen, 30(3), 319-338.
Campbell, D. T., & Fiske, D. W. (1959). Convergent and Discriminant Validation by the Multi-Trait–Multi-Method Matrix. Psychological Bulletin, 56(2), 81-105.
Cavusgil, S. T., Calantone, R. J., & Zhao, Y. (2003). Tacit knowledge transfer and firm innovation capability. Journal of Business & Industrial Marketing, 18(1), 6-21.
Chin, W. W. (1998a). The partial least squares approach for structural equation modeling. In G. A. Marcoulides (Ed.), Methodology for business and management (pp. 295-336). New Jersey: Lawrence Erlbaum Associates.
Chin, W. W. (1998b). The PLS approach to SEM. In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295-336). Mahwah: NJ: Erlbaum.
Chin, W. W. (2010a). Bootstrap Cross-Validation Indices for PLS Path Model Assessment. In V. E. Vinzi, W. W. Chin, J. Henseler & H. Wang (Eds.), Handbook of Partial Least Squares. (pp. 83-97): Springer Handbooks of Computational Statistics.
Chin, W. W. (2010b). How to Write Up and Report PLS Analyese. In V. E. Vinzi, W. W. Chin & J. Henseler (Eds.), Handbook of Partial Least Squares (pp. 655-690). Springer Handbooks of Computational Statistics.
Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: Results from a monte carlo simulation study and an electronic-mail emotion/adoption study. Information Systems Research, 14(2), 189-217.
Choo, C. W., Detlor, B., & Turnbull, D. (2000). Web Work: Information Seeking and Knowledge Work on the World Wide Web. Dordrecht: Kluwer Academic Publishers.
Choo, C. W., & Neto, R. C. D. d. A. (2010). Beyond the ba: managing enabling contexts in knowledge organizations. Journal of Knowledge Management, 14(4), 592-610.
Chou, D. C., Tripuramallu, H. B., & Chou, A. Y. (2005). BI and ERP integration. Information Management and Computer Security, 13(5), 340-349.
Coakesa, E. W., Coakesa, J. M., & Rosenberg, D. (2008). Co-operative work practices and knowledge sharing issues: A comparison of viewpoints. International Journal of Information Management, 28(1), 12-25.
Cohen, S. G., & Bailey, D. E. (1997). What Makes Teams Work: Group Effectiveness Research from the Shop Floor to the Executive Suite. Journal of Management, 23, 239-290.
Cramton, C. D. (2001). The Mutual Knowledge Problem and its Consequences for Dispersed Collaboration. Organization Science, 12(3), 346-371.
Curran, P. J., West, S. G., & Finch, J. F. (1996). The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. Psychological Methods, 1(1), 16-29.
Daft, R. L., & Lengel, R. H. (1984). Information richness: A new approach to managerial behavior and organizational design. In L. L. Cummings & B. M. Staw (Eds.), In Research in organizational behavior (pp. 191-233). Homewood, IL: JAI Press.
Daft, R. L., & Lengel, R. H. (1986). Organizational information requirements, media richness and structural design. Management Science
Organization Design, 32(5), 554-571.
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), 355-366.
Davenport, T. H., & Prusak, L. (Eds.). (1998). Working Knowledge: How Organizaitons Manage What They Know. Boston: Harvard Business School Press.
Deborah Gladstein Ancona, H. B. (2007). How to build teams that lead, innovate and succeed
Diamantopoulos, A., & Siguaw, J. A. (2006). Formative Versus Reflective Indicators in Organizational Measure Development: A Comparison and Empirical Illustration. British Journal of Management, 17(4), 263-282.
Diamantopoulos, A., & Winklhofer, H. M. (2001). Index Construction with Formative Indicators: An Alternative to Scale Developmen. Journal of Marketing Research, 38(2), 269-277.
Dibbern, J., Goles, T., Hirschheim, R., & Jayatilaka, B. (2004). Information Systems Outsourcing: A Survey and Analysis of the Literature. The DATA BASE for Advances in Information Sciences, 35(4), 6-102.
Dodgson, M. (1993). Learning, Trust, and Technological Collaboration. Human Relations, 46(1), 77-95.
Downey, H. K., & Slocum, J. W. (1975). Uncertainty: Measures, research,and sources of variation. Academy of Management Journal, 18(3), 562-578.
Earley, P. C., & Mosakowski, E. (2000). Creating Hybrid Team Cultures: An Empirical Test of Transnational Team Functioning. The Academy of Management Journal 43(1), 26-49.
El Sawy, O. A., Gomes, G. M., & Gonzalez, M. V. (1986). Preserving Institutional Memory: The Management of History as an Organization Resource. Academy of Management Best Papers Proceedings, 37, 118-122.
Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equations with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39-50.
Galbraith, J. R. (1973). Designing Complex Organizations
Galbraith, J. R. (1977). Organization Design: Addison-Wesley, Reading, MA.
Gefen, D., Rigdon, E. E., & Straub, D. (2011). An Update and Extension to SEM Guidelines for Administrative and Social Science Research. MIS Quarterly, 35(2), iii-xiv.
Gefen, D., & Straub, D. (2005). A Practical Guide to Factorial Validity using PLS-Graph: Tutorial and Annotated Example. Communications of the Association for Information Systems, 16(25), 91-109.
Gefen, D., Straub, D. W., & Boudreau, M.-C. (2000). Structural Equation Modeling and Regression: Guidelines for Research Practice. COMMUNICATIONS OF THE ASSOCIATION FOR INFORMATION SYSTEMS, 4(7), 1-77.
Geisser, S. (1975). A predictive approach to the random effect model. Biometrika, 61(1), 101-107.
Gladstein, D. L. (1984). Groups in context: a model of task group effectiveness. Administrative Science Quarterly, 29(4), 499-517.
Goodman, P. S., & Darr, E. D. (1998). Computer-Aided Systems and Communities: Mechanisms for Organizational Learning in Distributed Environments. MIS Quarterly, 22(4), 417-440.
Goodman, P. S., Darr, E. D., Ameden, R. W., & DeMattia, J. (1996). Exchanging Best Practices Through Computer-Aided Systems. Academy of Management Executive, 10(2), 7-18.
Granovetter, M. (1985). Economic Action and Social Structure: The Problem of Embeddedness. American Journal of Sociology, 91(3), 481-510.
Grant, R. M. (1996). Toward a knowledge-based theory of the firm. Strategic Management Journal, 19, 109-122.
Grieves, J. (2000). Navigating change into the new millennium: themes and issues for the learning organization. Learning Organization, The, 7(2), 54-74.
Griffith, T. L., Sawyer, J. E., & Neale, M. A. (2003). Virtualness and Knowledge in Teams: Managing the Love Triangle of Organizations, Individuals, and Information Technology. MIS Quarterly, 27(2), 265-287.
Gurbaxani, V., & Whang, S. (1991). The impact of information systems on organizations and markets. Communications of the ACM, 34(1), 59-73.
Guzzo, R. A., & Dickson, M. W. (1996). Teams in organizations: Recent research on performance and effectiveness. Annual Review of Psychology, 47, 307-338.
Hackman, J. r. (1987). The design of work teams. In J. W. Lorsch (Ed.), Handbook of organizational behavior (pp. 315-342): Englewood Cliffs, NJ: Prentice-Hall.
Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate Data Analysis. Englewood Cliffs, NJ: Prentice Hall.
Hansen, M. T. (1999). The Search–Transfer Problem: The Role of Weak ties in Sharing Knowledge across Organization Subunits. Administrative Science Quarterly, 44(1), 82-111.
Hayek, A. (1945). The use of knowledge in Society. The American Economic Review, 35(4), 519-530.
Heide, J. B., & Miner, A. S. (1992). The Shadow of the Future: Effects of Anticipated Interaction and Frequency of Contact on Buyer-Seller Cooperation. The Academy of Management Journal, 35(2), 265-291.
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, 277-319.
Hippel, E. V. (1986). Lead Users: A Source of Novel Product Concepts. Management Science, 32(7), 791-805.
Hoegl, M., Parboteeah, K. P., & Munson, C. L. (2003). Team-level antecedents of individuas’’ knowledge networks. Decision Sciences, 34(4), 741-770.
Hollingshead, A. B. (1996). Information Suppression and Status Persistence in Group Decision Making: The Effects of Communication Media. Human Communication Research 23(2), 193-219.
Holy, R. H., & Kenny, D. A. (1999). Sample size, reliability, and tests of statistical mediation. In R. H. Holy (Ed.), Statistical Strategies for Small Sample Research (pp. 195-222). Thousand Oaks, CA: Sage.
Huber, G. P. (1990). A theory of the effects of advanced information technologies on organizational design, intelligence, and decision making. Academy of Management Review, 15, 47-71.
Inkpen, A. C., & Tsang, E. W. K. (2005). Social Capital, Networks, and Knowledge Transfer. Academy of Management Review, 30(1), 146-165.
Kirkman, B. L., & Shapiro, D. L. (1997). The impact on cultural values on employee resistance to teams. Toward a model of globalized self-managing work team effectiveness. Academy of Management Review, 22(3), 730-757.
Kirkman, B. L., & Shapiro, D. L. (2001). The impact of cultural values on job satisfaction and organizational commitment in self-managing work teams: The mediating role of employee resistance. Academy of Management Journal, 44 (3), 557-569.
Kirsch, L. J., Sambamurthy, V., Ko, D.-G., & Purvis, R. L. (2002). Controlling Information Systems Development Projects: The View from the Client. Management Science, 48(4), 484-498.
Klein, R., & Rai, A. (2009). Interfirm strategic information flows in logistics supply chain relationships. MIS Quarterly, 33(4), 735-762.
Klein, R., Rai, A., & Straub, D. W. (2007). Competitive and cooperative positioning in supply chain logistics relationships. Decision Sciences, 38(4), 611-646.
Krogh, G. v. (2002). The communal resource and information system. The Journal of Strategic Information Systems, 11(2), 85-107.
Lane, P. J., & Lubatkin, M. (1998). Relative absorptive capacity and interorganizational learning. Strategic Management Journal, 19, 461-477.
Law, K., & Kirkman, B. (2005). International Management research in AMJ: Our Past, Present and Future. Academy of Management Journal, 48(3), 377-386.
Lee, A. S. (1994). Electronic Mail as a Medium for Rich Communication: An Empirical Investigation Using Hermeneutic Interpretation. MIS Quarterly, 18(2), 143-157.
Leonard-Barton, D., & Doyle, J. L. (1994). Commercializing Technology: Imaginative Understanding of User NeedsHarvard Business School Press (Vol. 9, pp. 1-28): Cambridge.
Leonard, D., & Sensiper, S. (1998). The role of tacit knowledge in group innovation. California Management Review, 40(3), 112-125.
lesser, E., & Prusak, L. (1999). Communities of practice, social capital and organizational knowledge. Information Systems Review, 1(1), 3-10.
Lesser, E., & Prusak, L. (2000). Communities of practice, social capital and organisational knowledge. In J. Slusher, J. W. Cortada & J. A. Woods (Eds.), Knowledge and communities (pp. 123-132). Boston: Butterworth Heinemann.
Levin, D. Z., & Cross, R. (2004). The Strength of Weak Ties You Can Trust: The Mediating Role of Trust in Effective Knowledge Transfer. Management Science, 50(11), 1477-1490.
Loch, K. D., Straub, D. W., & Kamel, S. (2003). Diffusing the Internet in the Arab World: The Role of Social Norms and Technological Culturation. IEEE Transactions on Engineering Management, 50(1), 45-63.
Majchrzak, A., Rice, R. E., Malhotra, A., King, N., & Ba, S. (2000). Technology adaption: the case of a computer-supported inter-organizational virtual team. MIS Quarterly, 24(4), 569-600.
Malhotra, A., Gosain, S., & Sawy, O. A. E. (2005). Absorptive Capacity Configurations in Supply Chains. MIS Quarterly, 29(1), 145-187.
Mancneil, L. R. (1983). Relational Contract: What We Know and Do Not Know. Wisconsin Law Review, 4, 483-525.
Markus, M. L. (1994). Electronic Mail As the Medium of Managerial Choice. Organization Science, 4(502-527).
Massa, S., & Testa, S. (2005). Data warehouse-in-practice: exploring the function of expectations in organizational outcomes. Information & Management, 42(5), 709-718.
McEvily, B., & Marcus, A. (2005). Embedded ties and the acquisition of competitive capabilities. Strategic Management Journal, 26(11), 1033-1055.
Menon, A., Bharadwaj, S. G., Adidam, P. T., & Edison, S. W. (1999). Antecedents and consequences of marketing strategy making: A model and a test. Journal of Marketing, 63(2), 18-40.
Montoya-Weiss, M. M., Massey, A. P., & Song, M. (2001). Getting it Together: Temporal Coordination and Conflict Management in Global Virtual Teams. Academy of Management Journal, 44(6), 1251-1262.
Nambisa, S. (2002). Designing virtual customer environments for new product development: Toward a theory. The Academy of Management Review 27(3), 392-413.
Nelson, R. R., & Winter, S. G. (1982). An Evolutionary Theory of Economic Change
Nicholsona, B., & Sahay, S. (2004). Embeddedness Knowledge and Offshore Software Development. Information and Organization, 14(4), 329-365.
Nonaka, I. (1994). Dynamic theory of organizational knowledge creation. Organization Science, 15(1), 14-31.
Nonaka, I., & Konno, N. (1998). The concept of "ba":building a foundation for knowledge creation. California Management Review, 40(3), 40-54.
Nonaka, I., Krogh, G. v., & Voelpel, S. (2006). Organizational Knowledge Creation Theory: Evolutionary Paths and Future Advances. Organization Studies, 27(8), 1179-1208.
Nonaka, I., & Takeuchi, H. (1995). The knowledge-creating company: How Japanese companies create the dynamics of innovation
Nonaka, I., Toyama, R., & Konno, N. (2000). SECI, Ba and Leadership: a Unified Model of Dynamic Knowledge Creation. Long Range Planning, 33(1), 5-34.
Nonaka, I., Toyama, R., & Nagata, A. (2000). A firm as a knowledge creating entity: a new perspective on the theory of the firm,. Industrial and Corporate Change, 9(1), 1-20.
Nummally, J. C. (1978). Psychometric Theory: 2d ed. New York, McGraw-Hill.
Pavlou, P. A., & Fygenson, M. (2006). Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior. MIS Quarterly, 30(1), 115-143.
Petter, S., Straub, D., & Rai, A. (2007). Specifying Formative Constructs in Information Systems Research. MIS Quarterly, 31(4), 623-656.
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903.
Rüdiger, M., & Vanini, S. (1998). Das Tacit knowledge Phänomen und seine Implikationen für das Innovations management, in:, 58(4), 467-480. Die Betriebs wirtschaf, 58(4), 467-480.
Rindfleisch, A., & Moorman, C. (2001). The Acquisition and Utilization of Information in New Product Alliances: A Strength-of-Ties Perspective. Journal of Marketing, 65(2), 1-18.
Ruppel, C. P., & Harrington, S. J. (2001). Spreading Knowledge through Intranets: An Analysts of the Organizational Culture Leading to Intranet Adoption and Use. IEEE Transactions on Professional Communications, 44(1), 37-52.
Salas, E., Cooke, N. J., & Rosen, M. A. (2008). On teams, teamwork, and team performance: Discoveries and developments. Human Factors: The Journal of the Human Factors and Ergonomics Society 50(3), 540-547.
Sawy, O. A. E., Malhotra, A., Gosain, S., & Young, K. M. (1999). IT-Intensive Value Innovation in the Electronic Economy: Insights from Marshall Industries. MIS Quarterly, 23(3), 305-335.
Schulz, M., & Jobe, L. A. (2000). Codification and tacitness as knowledge management strategies. An empirical exploration. Journal of High TechnologyManagement Research, 12(1), 139-165.
Sen, A., & Sinha, A. P. (2005). A comparison of data warehousing methodologies. Communications of the ACM, 48(3), 79-85.
Sherif, K., Hoffman, J., & Thomas, B. (2006). Can technology build organizational social capital? The case of a global IT consulting firm. Information & Management, 43, 795-804.
Sherman, J. D. (2000). Optimal modes and levels of integration, and the identification of cross-functional coordination deficiencies in concurrent engineering. In M. M. Montoya-Weiss (Ed.), Driving Business Growth Through Innovation, International Product Development and Management Association Conference. New Orleans, LA.
Sivadas, E., & Dwyer, F. R. (2000). An Examination of Organizational Factors Influencing New Product Success in Internal and Alliance-Based Processes. Journal of Marketing, 64(1), 31-49.
Sivo, S. A., Saunders, C., Chang, Q., & Jiang, J. J. (2006). How Low Should You Go? Low Response Rates and the Validity of Inference in IS Questionnaire Research. Journal of the Association for Information Systems, 7(8), 351-414.
Sole, D., & Edmondson, A. (2002). Situated Knowledge and Learning in Dispersed Teams. British Journal of Management, 13(2), 17-34.
Spender, J. C. (1989). Industry recipes: The nature and sources of managerial judgement. Blackwell, Oxford.
Spender, J. C. (1996). Making knowledge the basis of a dynamic theory of the firm. Strategic Management Journal, 17, 45-62.
Stein, E. W., & Zwass, V. (1995). Actualizing Organizational Memory with Information Systems. Information Systems Research, 6(2), 85-117.
Stober, T., Hansmann, U., Stober, T., & Hansmann, U. (2010). Considerations on Teaming and Leadership Agile Software Development (pp. 75-92): Springer Berlin Heidelberg.
Stone, M. (1974). Cross-validatory choice and assessment of statistical predictions. Journal of the Royal Statistical Society, 36(2), 111-147.
Stover, M. (2004). Making tacit knowledge explicit. Reference Services Review, 32(2), 164-173.
Straub, D., Boudreau, M.-C., & Gefen, D. (2004). Validation Guidelines for IS Positivist Research. Communications of The Association for Information Systems, 13(24), 380-427.
Subramani, M. R. (2004). How do suppliers benefit from information technology use in supply chain relationships? MIS Quarterly archive, 28(1), 45-73.
Suchman, L. A. (1987). Plans and situated actions: The problem of human mancine communication. Cambridge University Press, New York.
Tenenhausa, M., Vinzi, V. E., Chatelinc, Y.-M., & Lauro, C. (2005). PLS path modeling. Computational Statistics & Data Analysis, 48(1), 159-205.
Thomas, J. B., & Trevino, L. K. (1993). Information processing in strategic alliance building: A multiple-case approach. Journal of Management Studies, 30(5), 779-814.
Tsoukas, H. (1996). The firm as a distributed knowledge system: A constructionist approach. Strategic Management Journal, 17, 11-26.
Tsoukas, H., & Mylonopoulos, N. (2004). Introduction: Knowledge construction and creation in organizations. British Journal of Management, 15(1), 1-8.
Uzzi, B. (1996). The Sources and Consequences of Embeddedness for the Economic Performance of Organizations: The Network Effect. American Sociological Review, 61(4), 674-698.
Uzzi, B. (1997). Social Structure and Competition in Interfirm Networks: The Paradox of Embeddedness. Administrative Science Quarterly 42, 35-67.
Uzzi, B., & Lancaster, R. (2003). Relational Embeddedness and Learning: The Case of Bank Loan Managers and Their Clients. Management Science, 49(4), 383-399.
Walsh, J. P., & Ungson, G. R. (1991). Organizational Memory. The Academy of Management Review, 16(1), 57-91.
Williams, L. J., Edwards, J. R., & Vandenberg, R. J. (2003). Recent advances in causal modeling methods for organizational and management research. Journal of Management, 29(6), 903-936.
Yassine, A., Kim, K.-C., Roemer, T., & Holweg, M. (2004). Investigating the role of IT in customized product design. Production Planning and Control, 15(4), 422-434.
Yli-Renko, H., Autio, E., & Sapienza, H. J. (2001). Social capital, knowledge acquisition, and knowledge exploitation in young technology-based firms. Strategic Management Journal, 22(587-613).
Zahra, S. A., Ireland, R. D., & Hitt, M. A. (2000). International expansion by new venture firms: International diversity mode of market entry, technological learning, and performance. Academy of Management Journal, 43, 925-950.
指導教授 陳炫碩(Shiuann-Shuoh Chen) 審核日期 2012-7-5
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