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研究生:
Peter Jean Paul
論文名稱:
The Knowledge Integrated Management Model: A Case Study of International Cooperation and Development Fund
指導教授: 施正屏
Shih, Cheng-Ping
學位類別: 碩士
Master
系所名稱: 國際人力資源發展研究所
Graduate Institute of International Human Resource Developmemt
論文出版年: 2011
畢業學年度: 99
語文別: 英文
論文頁數: 159
中文關鍵詞: 知識管理組織績效知識管理策略知識管理啟動知識建立進程
英文關鍵詞: Knowledge Management, Organizational Performance, Knowledge Management Strategies, Knowledge Management Enablers, Knowledge Creation Process
論文種類: 學術論文
相關次數: 點閱:204下載:9
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  • This paper has five research objectives. Firstly, to measure the effect of Knowledge Management (KM) Strategies on KM Enablers; secondly, measure the effect of KM Enablers on the Knowledge Creation Process (KCP); thirdly, to measure the effect of KCP on the three aspects of Organizational Performance; fourthly, to determine if the degree of T-shaped skills affects Organizational Performance in TaiwanICDF; finally, to determine if there is a significant difference in the three aspects of Organizational Performance due to the four KM Styles formed from KM Strategies. A Quantitative Research design was used. 130 questionnaires were handed out, and 128 valid responses were received. The findings indicate that KM Strategies do have a significant effect on KM enablers, which in turn does have a significant effect on the KCP. KCP also has a significant effect on Innovation, Financial Performance and Customer Satisfaction in TaiwanICDF. The degree of T-shaped skills, as well as the KM Styles adopted, do have significant effects on Organizational Performance. Since this is a Case Study, results may not be generalized to all Non-Profit organizations (NPO’s). This paper shows that it is important that TaiwanICDF pay close attention to the KM Strategies and Enablers that they are using, as this can affect the KCP and indirectly affect the organization’s performance. Also, the degree of T-shaped skills present in the organization can impact all three aspects of the organization’s performance. Using a modified KM Model, this paper attempts to make NPO’s aware of the importance of KM variables to Organizational Performance.

    Table of Contents Abstract I Table of Contents III List of Tables VII List of Figures IX CHAPTER I. INTRODUCTION 1 Background of Study 1 Purpose of the Study 5 Questions of Study 6 Research Framework 7 Hypotheses 8 Significance of the Study 9 Delimitations and Limitations 11 Definitions of Key Terms 11 Key Assumptions 14 CHAPTER II. LITERATURE REVIEW 17 Knowledge and Knowledge Management 17 Previous Empirical Studies of Knowledge Management 23 New Integrative Model 34 International Cooperation and Development Fund 51 Chapter III. RESEARCH METHODOLOGY 55 Research Procedures 55 Research Design 58 Instrumentation 60 Research Subjects and Sampling Plan 63 Validity and Reliability Methods 66 Methods of Data Analysis 68 Pilot Study 74 CHAPTER IV. FINDINGS 85 Descriptive Statistics 85 Common Method Bias (CMB) 97 Structural Equation Modeling and Hypothesis Testing 98 CHAPTER V. IMPLICATIONS 111 Research Review 111 Implications from Descriptive Statistics 112 Implications from Research Finding 1 115 Implications from Research Finding 2 117 Implications for Research Finding 3 123 Implications for Research Finding 4 128 Implications for Research Finding 5 130 CHAPTER VI. RECOMMENDATIONS FOR FUTURE RESEARCH 137 Recommendations for Future Research 137 Recommendations for TaiwanICDF 139 CONCLUSIONS 141 REFERENCES 143 APPENDIX A. RECOMMENDATIONS FOR CONTROLLING FOR COMMON METHOD VARIANCE IN DIFFERENT RESEARCH SETTINGS 151 APPENDIX B. REMEDIES USED TO CONTROL COMMON METHOD BIASES 152 APPENDIX C. RESEARCH QUESTIONNAIRE (CHINESE VERSION) 153 LIST OF TABLES Table 2.1 Definitions of Knowledge 17 Table 2.2 Classification of Knowledge 19 Table 2.3 Definitions of Knowledge Management 20 Table 2.4 Knowledge Management Strategies 35 Table 2.5 Knowledge Management Process Perspectives 40 Table 2.6 Choi (2002) Research Hypothesis and Results 48 Table 2.7 Current Research Hypothesis Compared to Choi’s Hypothesis 49 Table 3.1 Previously Established Reliability of Variables 59 Table 3.2 Reliability Methods for this Research 63 Table 3.3 Validity Methods for this Research 64 Table 3.4 Hypothesis Tests 71 Table 3.5 KMO and Bartlett’s Test for Sperecity Values 74 Table 3.6 Validity for Items Measuring Knowledge Strategies 75 Table 3.7 Validity for Items Measuring Organizational Performance 76 Table 3.8 Validity for Items Measuring Knowledge Enablers 77 Table 3.9 Validity for Items Measuring Knowledge Creation 78 Table 3.10 Reliability of Variable Scales 79 Table 3.11 Items Discarded 80 Table 4.1 Comparing Sampling and Population Characteristics 82 Table 4.2 Valid and Invalid Responses 84 Table 4.3 Descriptive Statistics for KM Strategies 85 Table 4.4 Descriptive Statistics for Organizational Performance 87 Table 4.5 Descriptive Statistics for Knowledge Enablers 89 Table 4.6 Descriptive Statistics for Knowledge Creation Process 91 Table 4.7 Model Fit Data 94 Table 4.8 SEM Regression Results for KM Enablers with KM Strategies as Predictors 96 Table 4.9 SEM Regression Results for KC Process with KM Enablers as Predictors 97 Table 4.10 SEM Regression Results for Organizational Performance with Knowledge Creation Process as a Predictor 98 Table 4.11 Analysis of Agglomeration Coefficients 104 Table 4.12 Groups for TSS 104 Table 4.13 T-Test Results on 3 Aspects of Organizational Performance 105 Table 4.14 Analysis of Agglomeration Coefficients for Human Strategies 106 Table 4.15 Analysis of Agglomeration Coefficients for System Strategies 107 Table 4.16 Groups for Human and System Strategies 107 Table 4.17 KM Styles Based on Human and System Strategies 107 Table 4.18 ANOVA Results 108 Table 4.19 Scheffe Post-hoc Test 108 Table 4.20 Research Hypothesis and Results 109 Table 5.1 The Practical Relationship of Organizational Performance and Knowledge Creation Process 126 LIST OF FIGURES Figure 1.1. Byounggu Choi’s Integrative Knowledge Management Model. 4 Figure 1.2 Knowledge Integrative Model (K.I.M.) Model. 7 Figure 2.1. Summaries of Relationships between K.M. Variables 25 Figure 2.2. An Integrative Research Framework For Studying Knowledge Management 26 Figure 2.3. Choi’s Integrative Model 16 Figure 2.4. Choi’s Proposed Extended Model 28 Figure 2.5. Hsieh’s Integrative Model for Knowledge Management Performance 30 Figure 2.6. Lee and Lee (2007) Research Model. 31 Figure 2.7. Regression Results from Choi’s Research 32 Figure 2.8. SECI Model (Nonaka and Takeuchi) 42 Figure 3.1. Research Process and Timeline 58 Figure 4.1 SEM Results for the Proposed Model 99 Figure A1. Recommendations for Controlling for Common Method Variance in Different Research Settings 151 Figure B1. Remedies Used to Control Common Method Biases 152

    12Manage (2010). SECI Model (Nonaka and Takeuchi).Retrieved September17, 2010 from: www.12manage.com/methods_nonaka_seci.html
    360doc.com (2010). Developing a knowledge management strategy: Knowledge management. Retrieved March, 28th, 2011 from: http://www.360doc.com/content/06/0920/10/10199_211753.shtml
    Alavi, M., & Leidner, D. E. (2001). Review: Knowledge management and knowledge management systems: Conceptual foundations and research issues. MIS Quarterly, 25(1), 107-136.
    Alavi, M. (1997). KPMG peat marwick U.S: One giant brain. Harvard Business School, 9, 397-108.
    Albright, J .J., & Park, M. H. (2009). Confirmatory factor analysis using Amos, LISREL, and Mplus. Retrieved from: http://www.indiana.edu/~statmath/stat/all/cfa/cfa.pdf
    Algharibeh, A. M. K. (2010). Managing organizational knowledge: An empirical study in Jordanian pharmaceutical industry. Communications of the IBIMA, 2010, Article ID 274834,8.
    Al-harwari, M. (2004). Knowledge management styles and performance: A knowledge space model form both theoretical and empirical perspectives (Unpublished doctoral dissertation). University of Wollongong, NSW, Australia.
    Allameh, S. M., Zare, S. M., & Davoodi, S. M. R. (2003). Examining the impact of km enablers on knowledge management processes. Procedia Computer Science, 3, 1211–1223
    Anand, G., Ward, P. T., & Tatikonda, M. V. (2009). Role of explicit and tacit knowledge in Six Sigma projects: An empirical examination of differential project success. Journal of Operations Management, 28, 303–315
    Bagozzi, R. P. (1980). Causal models in marketing. New York: John Wiley & Sons.
    Becerra, F. I., & Sabherwal, R. (2001). Organizational knowledge management: A contingency perspective. Journal of Management Information Systems, 18(1), 23-55.
    Belbaly N., Benbya, H., & Meissonier, R. (2007). An empirical investigation of the customer knowledge creation impact on NPD performance. Proceedings of the 40th Hawaii International Conference on System Sciences. Hawaii.
    Bentler, P. (1990). Comparative fit indices in structural models. Psychol Bull, 107, 238-246.
    Bierly, P., & Chakrabarti, A. (1996). Generic knowledge strategies in the U.S. pharmaceutical industry. Strategic Management Journal, 17, 123-135.
    Bock, G., & Kim, Y. G. (2002). Breaking the myths of rewards: An exploratory study of attitudes about knowledge sharing. Information Resource Management Journal, 15(2), 14-21.
    Bock, G. (2001). Determinants of the individual’s knowledge sharing behavior in the organization: The theory of reasoned action perspective (Doctoral Dissertation). Korea Advanced Institute of Science and Technology, Korea.
    Bohn, R. (1994). Measuring and managing technological knowledge. Sloan Management Review, 36(1), 61-73.
    Bontis, N., & Serenko, A. (2009). A causal model of human capital antecedents and consequents in the financial services industry. Journal of Intellectual Capital, 10(1), 53-69.
    Borghoff, U., & Pareschi, R. (1997). Information technology for knowledge management. Journal of Universal Computer Science, 3(8), 835-842
    Bostrom, R., & Heinen, J. (1977). MIS problems and failures: A socio-technical perspective. MIS Quarterly, 1(3), 17-32.
    Brace, N., Kemp, R., & Snelgar, R. (2000). SPSS for psychologists 4th Edition. New Jersey: Palgrave Macmillan
    Chan, L., & Chau, P. Y. K. (2005). Getting knowledge management right: Lessons from failure. The International Journal Knowledge Management, 1(3), 40 -54. Retrieved September 16, 2010 from ProQuest Database.
    Choi, B., & Lee, H. (2002). Knowledge management strategy and its link to knowledge creation process. Expert System with Applications, 23(3), 173 – 187.
    Choi, B. (2002). Knowledge management enablers, processes and organizational Performance: An integration and Empirical Examination (Unpublished Doctoral Dissertation). Korea Advanced Institute of Science and Technology, Korea.
    Chowdhury, N. (2006). Knowledge audit: overview and sample questionnaire. Retrieved March 31, 2011 from: http://www.kmtalk.net/article.php?story=20060905001530455
    Colorado State University (2011). Case studies. Retrieved February 20, 2011 from: http://writing.colostate.edu/guides/research/casestudy/com4a1.cfm
    Council of Social Services of NSW. (2006). Working Together for NSW: Good Funding Policy and Practice. Retrieved April 5, 2011 from http://www.afairernsw.net/ncoss/downloads/working-together.pdf
    Creative Research Systems (2009). Survey Design. Retrieved September 2010 from: http://www.surveysystem.com/sdesign.htm
    Darroch, J. (2003). Developing a measure of knowledge management behaviors and practices. Journal of Knowledge Management, 7(5), 41-54. Retrieved September 16, 2010 from ProQuest database.
    Davenport, T. H., & Prusak, L. (1998). Working knowledge: How organizations manage what they know. Boston, MA: Harvard Business School Press.
    De long, D., & Fahey, L. (2000). Diagnosing cultural barriers to knowledge management. The Academy of Management Executive, 14(4), 113 – 127. Retrieved December 5, 2005, from ProQuest database.
    Delphi Group Inc (1998). Delphi on knowledge management: Research and perspectives on today's knowledge landscape. Retrieved from: www.delphigroup.com
    Den, H. J. F., & Huizenga, E. (2000). The knowledge enterprise: Implementing intelligent business strategies. London: Imperial College Press.
    Donofrio, N., Spohrer, J., & Zadeh, S. H. (2010). Research-driven medical education and practice: A case for t-shaped professionals. Retrieved February 20, 2010 from: http://www.ceri.msu.edu/wp-content/uploads/2010/06/A-Case-for-T-Shaped-Professionals-20090907-Hossein.pdf
    Elenkov, D. S. (2002). Effects of leadership on organizational performance in Russian companies. Journal of Business Research, 55, 467-480.
    Enkel, E., Gibbert, M., Makarevitch, A., & Vassiliadis, S. (2002). Innovation / knowledge creation, customer integration and entering new ventures. Perspectives for our partners, 1 (44), 1-19.
    Eppler, M. J., & Sukowski, O. (2000). Managing team knowledge: Core processes, tools and enabling factors. European Management Journal, 18(3), 334–341.
    EY Global (1998). Consulting methodology for knowledge management. Ernst & Young Management Consulting.
    Freebooks Online (2010). Enablers of SECI process. Retrieved April 1, 2010 from:http://free-books-online.org/management/knowledge-management/enablers-of-seci-process/
    Field, A. (2006). Reliability analysis. Retrieved October 16th 2010 from: http://www.statisticshell.com/reliability.pdf
    Fox, J. (2002). Structural equation models. Retrieved February 3rd 2011 from: http://cran.r-project.org/doc/contrib/Fox-Companion/appendix-sems.pdf
    Gold, A. H., Malhotra, A., & Segars, A. H. (2001). Knowledge management: An organizational capabilities perspective. Journal of Management Information Systems, 18(1), 185–214.
    Grover, V., & Davenport, T. H. (2001). General perspectives on knowledge management: Fostering a research agenda. Journal of Management Information Systems 18(1), 5-21.
    Gwinner, C. (2010). Infosurv white paper 5-point vs. 6-point likert scales. Retrieved from http://www.infosurv.com/images/Likert_Scale_Debate.pdf
    Harlow, H. (2008). The effect of tacit knowledge on firm performance. Journal of Knowledge Management, 12(1). 148-163.
    Hertzog, A. M. (2008). Considerations in determining sample size for pilot studies. Research in Nursing & Health, 31, 180–191.
    Hill, T., & Lewicki, P. (2007). Statistics methods and applications. StatSoft, Tulsa.
    Holsapple, C. W., & Joshi, K. D. (2000). An investigation of the factors that influence the management of knowledge in organizations. Journal of Strategic Information Systems, 9(2-3), 235-261. Retrieved September 16, 2010, from ProQuest database.
    Hopkins, W. G. (2000). Quantitative Research Design. Retrieved from: http://www.sportsci.org/jour/0001/wghdesign.html
    Hoyle, R. H. (1995).The structural equation modeling approach: basic concepts and fundamental issues. En: Hoyle RH, ed. Structural equation modeling concepts issues and applications. Thousand Oaks, Ca: Sage, p.1-15
    Hsieh, J. H. (2007). Organizational characteristics, knowledge management strategy, enablers, and process capability: Knowledge management performance in US software companies (Doctoral dissertation). Lynn University, Florida.
    Hui, C. H., & Triandis, H. C. (1985). Measurement in cross-cultural psychology: A review and comparison of strategies. Journal of Cross-Cultural Psychology, 16(2), 131-152.
    Hurley, T. A., & Green, C. W. (2005). Knowledge management and the nonprofit industry: A within and between approach. Journal of Knowledge Management Practice. January 2005. Retrieved April 05, 2011 from: http://www.tlainc.com/articl79.htm
    Ichijo, K., Krogh, G. V., Nonaka, I. (2000). Knowing in firms: Understanding, managing and measuring knowledge-Knowledge enablers. London: Sage Publishing. pp. 173-203
    Inutsikt, A. B. (2003). Management quality: The role of the middle manager. Retrieved from: http://www.themanager.org/Strategy/Middle_Managers.htm
    Ismail, M. (2005). Quantitative Research Methodology. Retrieved from:http://www.scribd.com/doc/98295/Quantitative-Research-Methodology
    Jang, J., & Lee, H. (1998). Knowledge architecture for knowledge creating organizational memory. 1st Knowledge Management Symposium, pp. 211-235.
    Jasimuddin, S. M., Klein, J. H., & Connell, C. (2005). The Paradox of Using Tacit and Explicit Knowledge: Strategies to Face Dilemmas. Management Decision, 43 (1), 2005, pp 102-112.
    Jones, D. (2002). ICT Education. Retrieved October 16th 2010 from:http://www.wiziq.com/tutorial/57188-ICT-in-Education
    Jordan, J., & Jones, P. (1997). Assessing your company’s knowledge management style. Long Range Planning, 30(3), 392-398.
    Kahl, L. (2010). What is convenience sampling? Retrieved December, 16, 2010 from: http://www.wisegeek.com/what-is-convenience-sampling.htm
    Kemp, R., Snelgar, R., & Brace, N. (2002). SPSS for psychologists: A guide to data analysis using SPSS for windows. New York: Palgrave Macmillian
    Kenny, D.A. (2010). Measuring Model Fit. Retrieved June 11 2010 from: http://www.davidakenny.net/cm/fit.htm
    Keskin, H. (2005). The relationship between explicit and tacit oriented KM strategy and firm performance. Journal of American Academy of Business, 7(1), 169-175. Retrieved August 23, 2010, from: ProQuest database
    Knapp, E. M. (1998). Knowledge management. Business and Economic Review, 44(4), 3-6. Retrieved September 16, 2010 from: ProQuest Database
    KPMG (1998). The power of knowledge: A client business guide. Netherlands: KPMG Consulting.
    Kun San University (1998). About the TaiwanICDF. Retrieved January 24th 2011 from: http://www.ksu.edu.tw/eng/unit/D/A/IO/pageDetail/5800/
    Kuo, C .H. M. (2010). Republic of China country overview. Retrieved September 16, 2010 from: http://www.nationsencyclopedia.com/economies/Asia-and-the-Pacific/Taiwan.html
    Lee, H., & Choi, B. (2003). Knowledge management enablers, processes, and organizational performance: An integrative view and empirical study. Journal Of Management Information Systems, 20(1)
    Lee, J. H., & Kim, Y. G. (2001). Effects of managerial drivers and climate maturity on knowledge management performance: Empirical validation. Proceedings of Pacific Asia Conference on Information Systems, pp. 1097-1111.
    Lee, Y. C., & Lee, S. K. (2007). Capabilities, processes, and performance of knowledge management: A structural approach. Human Factors and Ergonomics in Manufacturing, 17 (1), 21–41
    Leonard, B. D. (1995). Wellsprings of knowledge: Building and sustaining the sources of innovation. Boston: Harvard Business School Press
    Leonard, D., & Sensiper, S. (1998). The role of tacit knowledge in group innovation. California Management Review, 40(3), 112-132. Retrieved September 26, 2006, from ProQuest database.
    Linderman, K., Schroeder, R. G., Zaheer, S., Liedtke, C., & Choo, A. S. (2004). Integrating quality management practices with knowledge creation processes. Journal of Operations Management, 22, 589–607
    Longoria, R. G. (1997). The relationship between work experience and job knowledge: A theoretical and empirical reexamination. Retrieved from: http://scholarship.rice.edu/bitstream/handle/1911/19180/9727575.PDF?sequence=1
    Lubit, R. (2001). Tacit knowledge and knowledge management: The keys to sustainable competitive advantage. Organizational Dynamics, 29(4), 164–178.
    MacQueen, J. B. (1967). Some methods for classification and analysis of multivariate observations. Proceedings of 5-th Berkeley Symposium on Mathematical Statistics and Probability Berkeley, University of California Press, 1, 281-297
    Madhaven, R., & Grover, R. (1998). From embedded knowledge to embodied knowledge: New product development as knowledge management. Journal of Marketing 62 (4), 1–29.
    Mann, P. S. (1995) Introductory Statistics, 2nd Edition. Retrieved September 26, 2010 from: http://en.wikipedia.org/wiki/Descriptive_statistics
    Marks, C., Waterford, M., & Suhood, T. (2005). SONG Issues Paper: Small community-base, human service, non-government, not-for-profit sector organisations. Retrieved April 5, 2011, from http://www.ncoss.org.au/projects/msu/downloads/updates/Song_issuespaperMSU.pdf
    McKeen, J. D., Zack, M. H., & Singh, S. (2006). Knowledge Management and Organizational Performance: An Exploratory Survey. Proceedings of the Thirty-Ninth Annual Hawaii International Conference on System Science. Hawaii: Computer Society Press.
    Miles, R. E., Snow, C. C. & Miles, G. (2000). The future.org. Long Range Planning, 33, pp.300-321.
    Murray, P., & Carter, L. (2005). Improving marketing intelligence through learning systems and knowledge communities in not-for-profit workplaces. Journal of Workplace Learning, 17(7), 421 – 435.
    Ndlela, L. T., & Toit, A. S. A. (2001). Establishing a knowledge management programme for competitive advantage in an enterprise. International Journal of Information Management, 21, 151-165.
    Neill, J. (2007). Qualitative versus quantitative research: Key points in a classic debate. Retrieved September 29 2010 from:http://wilderdom.com/research/QualitativeVersusQuantitativeResearch.html
    Nightly Business Report (2010). Video #18 - Taiwan: Moving to a knowledge-based economy. Retrieved September 10, 2010 from:http://www.pbs.org/nbr/site/research/educators/060106_18b/
    Nonaka, I., & Takeuchi, H. (1995). The knowledge creating company. New York: Oxford 169 University Press.
    Nonaka, I. R., Toyama, N., & Konno, N. (2000). SECI, Ba and Leadership: a Unified Model of Dynamic Knowledge Creation. Long Range Planning. 33: 5-34.
    Numprasertchai, S., Kanchanasanpetch, P. & Numprasertchai, H. (2009). Knowledge creation and innovation capability in the public university. International Journal of Innovation and Learning, 6(5), 568 - 580
    Nunnally, J. C. (1978). Psychometric Theory (2nd ed). New York: McGraw-Hill.
    Pan, S., & Scarbrough, H. (1998). A socio-technical view of knowledge-sharing at Buckman laboratories. Journal of Knowledge Management, 2(1), 55-66.
    Paper Masters (2000). Quantitative Research. Retrieved October 16th 2010 from: http://www.papermasters.com/quantitative_research.html
    Park, K. (2006). A review of the knowledge management model based on an empirical survey of Korean experts (Unpublished doctoral dissertation). University of Kyushu, Korea.
    Pinsonneault, A., & Kraemer, K. L. (1993). Survey research method in management information systems: An assessment. International Journal of Information Management, 10(2), 75-105.
    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.
    Popadiuka, S., & Choo, C. W. (2006). Innovation and knowledge creation: How are these concepts related? International Journal of Information Managemen, 26, 302–312
    Radding, A. (1998). Knowledge management: Succeeding in the information-based global economy. South Carolina: Computer Technology Research Corp.
    Raisinghani, M. (2000). Knowledge management: A cognitive perspective on business and education. Amercia Business Review, 18(2), 105-112. Retrieved September 16, 2010, from: ProQuest database.
    Rasulzada, F., & Dackert, I. (2009). Organizational Creativity and Innovation in Relation to Psychological Well-Being and Organizational Factors. Creativity Research Journal, 21(2-3), 191 - 198.
    Raven, A., & Prasser, S. G. (1996). Information technology support for the creation and transfer of tacit knowledge in organizations. Retrieved from: http://hsb.baylor.edu/ramsower/ais.ac.96/papers/RAVEN.htm
    Sabherwal, R., & Fernandez, B. I. (2003). An empirical study of the effect of knowledge management processes at individual, group and organizational levels. Decision Sciences, 34 (2)
    Schievetti, N., Metz, D. E., & Orlikoff, R. F. (2001). Evaluating research in communicative disorders (6th ed). Boston: Pearson.
    Schuppel, J., Muller-Stewens, G., & Gomez, P. (1998). The knowledge spiral. In G. Krough, J. Roos, and D. Kleine (eds.). Knowing In Firms (pp. 223-252). Thousand Oaks, CA: Sage Publications.
    Sharratt, M., & Usoro, A. (2003). Understanding knowledge-sharing in online communities of practice. Electronic Journal on Knowledge Management, 1 (2), pp. 187-196.
    Shin, M., Holden, T., & Schmidt, R. A. (2001). From knowledge theory to management practice: Towards an integrated approach. Information Processing and Management, 37(2), 335-355. Retrieved September 16, 2010, from ProQuest.
    Shockley-Zalabak, P., Ellis, K. & Winograd, G. (2000). Organizational trust: what it means, why it matters. Organization Development Journal, 18(4), pp. 35-48.
    Shuttleworth, M. (2009). Construct validity. Retrieved January 29, 2011 from: http://www.experiment-resources.com/construct-validity.html
    Sin. A. B., Zailani, S., & Ramayah, T. (2010). Six Sigma and organisational performance: A knowledge creation perspective. International Journal of Productivity and Quality Management, 6(2), 182-212
    Smith, M. E. (1997). Disciplines of organizational learning: Contributions and critics. Human Relations, 1085–1113.
    Smith, Z. (2008). The capacity evolution blog. Retrieved March 31, 2011 from: http://ikan.biz/blog/about/
    StatSoft (2010). Electronics statistics textbook. Retrieved December 17, 2010 from: http://www.statsoft.com/textbook/partial-least-squares/
    Swan, J., Newell, S., & Robertson, M. (2000). Limits of IT-driven knowledge management for interactive innovation processes: Towards a community-based approach. Proceedings of the 33rd Hawaii International Conference on System Sciences.
    Tabachnick, B. G., & Fidell, L. S. (2001). Using multivariate statistics (4th ed.). Needham Heights, MA: Allyn & Bacon.
    Teece, D. J. (2000). Strategies for managing knowledge assets: the role of firm structure and industrial context. Long Range Planning, 33, 35-54.
    Trochim, W. M. K. (2006). Research methods knowledge base–The t-Test. Retrieved February 23, 2006 from: http://www.socialresearchmethods.net/kb/stat_t.php
    Tiwana, A. (2001). The knowledge management toolkit: Practical techniques for building knowledge management system. Upper Saddle River, NJ: Prentice Hall, Inc.
    Tiwana, A. (2002). The knowledge management toolkit: Orchestrating IT, strategy, and knowledge platforms. Upper Saddle River, NJ: Prentice Hall, Inc.
    Tsai, T. M., & Huang, Y. C. (2008). Exploratory learning and new product performance: The moderating role of cognitive skills and environmental uncertainty. National Cheng Kung University, Taiwan: Department of Business Administration
    Vidović, M. (2010). The link between the quality of knowledge management and financial performance – The case of Croatia. Working Paper Series. Retrieved April 1, 2011 from: http://web.efzg.hr/RePEc/pdf/Clanak%2010-03.pdf
    Villeneuve, P. J. (2011). Analysis of variance. Retrieved February 3rd, 2011 from: http://www.answers.com/topic/analysis-of-variance
    Wiig, K., Hoog, R., & Spek, R. (1997). Supporting knowledge management: A selection of methods and techniques. Expert Systems with Applications, 13(1), 15-27.
    Wood, C. (2005). An empirical examination of factors influencing work-unit knowledge management effectiveness in organizations (Doctoral dissertation). The University of Texas, Arlington.
    Woodman, R. W., Sawyer, J. E., & Griffin, R. W. (1993). Toward a theory of organizational creativity. Academy of Management Review, 18(2), 293-321.
    Yang, C. C., Marlow, P. B., & Lu, C. S. (2009). Knowledge management enablers in liner shipping. Transportation Research Part E, 45, 893–903.
    Zack, M. (1999). Introduction. In M.H. Zack (ed.).Knowledge and strategy, pp. vii-xii. Boston: Butterworth-Heinnemann.
    Zack, M. H. (2002). Developing a knowledge strategy: Epilogue. Retrieved August 24, 2010 from: http://web.cba.neu.edu/~mzack/articles/kstrat2/kstrat2.htm
    Zuluaga, D. C. L., & Schneider, U. (2008). Market orientation and organizational performance in the nonprofit context: Exploring both concepts and the relationship between them. Journal of Nonprofit & Public Sector Marketing, 19(2).

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