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研究生: 林浩源
Hao - Yuan Lin
論文名稱: 智慧資本和知識管理對台灣會議展覽產業的影響
The Impact of Intellectual Capital with Knowledge Management on Taiwan MICE Industry
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: 117
中文關鍵詞: 智慧資本知識管理知識管理系統台灣會議展覽產業商業績效
英文關鍵詞: Intellectual Capital, Knowledge Management, Knowledge Management System, Taiwan MICE Industry, Business Performances
論文種類: 學術論文
相關次數: 點閱:220下載:10
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  • Intellectual capital is recognized to be the most significant knowledge assets by scholars and field experts, such as Dr. Peter Drucker, the Nobel Winner Dr. Theodore Schultz, and Dr. Jack Welch, former CEO of General Electric., with effective knowledge management yields substantial growth and profit. The sustainable management of knowledge created from IC is also critical to survival, as well as, success for the long run to organization and individual alike. MICE (meeting, incentive, convention, and exhibition) industry has been known for its multiplying effect on economic prosperity by the developed countries and some developing regions around the globe. Although MICE have been in operation for some time in Taiwan, its enormous economic implications have not been noticed until recently. The industry is still at developmental stage working on growth, together with prominent outlook makes it an interesting and motivating field to investigate. The researcher would like to contribute to the greater expansion of intellectual capital study and, at the same time, explore this lesser known Taiwan MICE Industry with great potential. Quantitative method was used for data collection, while fifteen Taiwan MICE organizations participated for research. Both pilot test and final result revealed high Cronbach alpha of internal consistency on construct validity. The researcher used Multiple Regression and Partial Least Square to analyze the data collected. The R squares are showing good results indicate that model is withholding. Multiple regression test came out with many significant factors demonstrated intellectual capital existence as well as impact on Taiwan MICE Industry business performance of market leadership and financial performance. Partial Least Square has also signified intellectual capital significance. The relational capital has the most influence for Taiwan MICE Industry. The path from human capital to knowledge management system / structural capital, to relational capital, then business performance path has notable influence. The passage from human capital to relation capital, to business performance also came out with good result. Recommendations were given to Taiwan MICE Industry stakeholders with future research options provided.

    keywords: intellectual capital, knowledge management, knowledge management system, Taiwan mice industry, business performances.

    Intellectual capital is recognized to be the most significant knowledge assets by scholars and field experts, such as Dr. Peter Drucker, the Nobel Winner Dr. Theodore Schultz, and Dr. Jack Welch, former CEO of General Electric., with effective knowledge management yields substantial growth and profit. The sustainable management of knowledge created from IC is also critical to survival, as well as, success for the long run to organization and individual alike. MICE (meeting, incentive, convention, and exhibition) industry has been known for its multiplying effect on economic prosperity by the developed countries and some developing regions around the globe. Although MICE have been in operation for some time in Taiwan, its enormous economic implications have not been noticed until recently. The industry is still at developmental stage working on growth, together with prominent outlook makes it an interesting and motivating field to investigate. The researcher would like to contribute to the greater expansion of intellectual capital study and, at the same time, explore this lesser known Taiwan MICE Industry with great potential. Quantitative method was used for data collection, while fifteen Taiwan MICE organizations participated for research. Both pilot test and final result revealed high Cronbach alpha of internal consistency on construct validity. The researcher used Multiple Regression and Partial Least Square to analyze the data collected. The R squares are showing good results indicate that model is withholding. Multiple regression test came out with many significant factors demonstrated intellectual capital existence as well as impact on Taiwan MICE Industry business performance of market leadership and financial performance. Partial Least Square has also signified intellectual capital significance. The relational capital has the most influence for Taiwan MICE Industry. The path from human capital to knowledge management system / structural capital, to relational capital, then business performance path has notable influence. The passage from human capital to relation capital, to business performance also came out with good result. Recommendations were given to Taiwan MICE Industry stakeholders with future research options provided.

    keywords: intellectual capital, knowledge management, knowledge management system, Taiwan mice industry, business performances.

    Abstract I Table of Contents III List of Tables VII List of Figures IX CHAPTER I. INTRODUCTION 1 Chapter Overview 1 Background of the Study 1 Purposes of the Study 3 Questions of the Study 4 Significance of the Study 4 Limitations and Delimitations 7 Definition of Terms 9 CHAPTER II. LITERATURE REVIEW 13 Chapter Overview 13 Intellectual Capital and Business Performance 13 Concepts, Scope, and Definitions of Intellectual Capital 13 Change of Structural Capital 18 Applicability of Intellectual Capital Knowledge 20 Intellectual Capital and Business Performance Measurement Indicators 24 Taiwan MICE Industry 25 Background of Taiwan MICE Industry 27 Characteristic and Scope of Taiwan MICE Industry 25 Theoretic Framework: Intellectual Capital and Taiwan MICE Industry Integration 28 CHAPTER III. METHODOLOGY 31 Chapter Overview 31 Research Hypotheses 31 Conceptual Framework 32 Research Procedure 33 Measurement Instrument 35 Validity and Reliability 36 Data Collection 37 Data Analysis Methods 38 Partial Least Squares 39 Multiple Regressions 40 CHAPTER IV. DESCRIPTIVE STATISTICS, MULTIPLE REGRESSION FINDINGS AND DISCUSSIONS 43 Chapter Overview 43 Descriptive Statistics 43 Human Capital 44 Structural Capital 45 Relational Capital 46 Validity and Reliability of the Measurement Instrument 47 Multiple Regression Findings 48 Multiple Regression Results Discussion 68 CHAPTER V. PLS FINDINGS AND DISCUSSIONS 71 PLS Findings 71 Cronbach’s Alpha and Individual Item Reliabilities 71 Testing the Measurement Model 72 Experimenting with PLS Using Components’ Average 76 CHAPTER VI. CONCLUSIONS AND RECOMMENDATIONS 79 Chapter Overview 79 Discussion and Implications 79 Multiple Regression Findings on Financial Performance (BP42 ~ BP46)……80 Implication 83 Contribution and Future Research Option 84 Future Research 85 Contribution 86 REFERENCES 89 APPENDIX A: SURVEY Of The STUDY 97 APPENDIX B: SURVEY Of The STUDY LETTER 105 APPENDIX C: REGRESSION TABLES FROM BP(Y)42~BP(Y)46 109 APPENDIX D: The PLS DIAGRAM BASED On COMPONENTS’ AVERAGE 115 APPENDIX E: RESULTS Of PLS ANALYSIS FROM APPENDIX D BASED On COMPONENTS’ AVERAGE 115 APPENDIX F: FINDING BASED On PLS 117 APPENDIX G: CODING Of The ABBREVIATIONS EXPLAINED 117 APPENDIX H: LOADING BASED On SPSS19 119 LIST OF TABLES Table 2.1 Definitions of Intellectual Capital 16 Table 2.2 Intellectual Capital Indicators 23 Table 3.1 Coding System Used in SPSS Data Analysis 41 Table 4.1 Data of Variables by Entries and Values 44 Table 4.2 Human Capital by Likert Scale: Min, Max, Mean, and Standard Deviation 45 Table 4.3 Structural Capital of EKS and SSKS by Likert Scale: Min, Max, Mean, and Standard Deviation 46 Table 4.4 Relational Capital by Likert Scale: Min, Max, Mean, and Standard Deviation 47 Table 4.5 Cronbach Alpha Value (Based on Standardized Items) of Survey Instrument SPSS19 48 Table 4.6 Multiple Regression Table on Market Share of Market Leadership Indicator 50 Table 4.7 Multiple Regression Table of BP38 Organizational Future Prospect of Market Leadership Indicator 54 Table 4.8 Multiple Regression of BP39 Organizational Market Leadership of Market Leadership Indicator 58 Table 4.9 Multiple Regression Table of BP40 Overall Technological & Service Innovation of Market Leadership Indicator 62 Table 4.10 Multiple Regression Table of BP41 Average Sales Growth in Recent 5 Years of Market Leadership Indicator 66 Table 4.11 Loadings based on SPSS19 69 Table 5.1 PLS Loadings 71 Table 5.2 Factor Loadings based on PLS 73 Table 5.3 Path Analysis Based on PLS 74 Table 5.4 Summary of Model Direct and Indirect Effects 76 LIST OF FIGURES Figure 3.1 Conceptual Framework of this Study 33 Figure 3.2 Research Procedure 34 Figure 5.1 Taiwan MICE Industry Intellectual Capital Structural Model 75

    Aboody, D. & Lev, B. (2001). The productivity of chemical research and
    Development (working paper). Stern School of Business, New York University.
    Ali-Knight, J., Robertson, M., Fyall, A., & Ladkin, A., 2009. International
    Perspectives of Festivals and Events: Paradigms of Analysis. Oxford: Elsevier
    Science.
    Amir, E., Lev, B., & Sougiannis, T. (2003). Do financial analysts get intangibles?
    European Accounting Review, 12(4), 635-59.
    Ankers, P., & Brennan, R. (2002). Managerial relevance in academic research: An
    exploratory study. Marketing Intelligence and Planning, 20(1), 15-21.
    Arnold, M. K. (2002). Building a better trade show image. Kansas City, MO: Grafix
    Press.
    Arnot, M. & Fennell, S. (2008). Gender education and equality in a global context:
    Conceptual frameworks and policy perspectives. Canada: Routledge, Taylor &
    Francis Group.
    Baldridge, D. C., Floyd, S.W., & Markoczy, L. (2004). Are managers from Mars and
    academicians from Venus? Toward an understanding of the relationship between
    academic quality and practical relevance. Strategic Management Journal, 25(11),
    1063-1074.
    Barron, O.E., Byard, D., Kile, C., & Riedl, E.J. (2002). High technology intangibles
    and analysts’ forecasts. Journal of Accounting Research, 40(2), 289-312.
    Bassi, L. J., & Van Buren, M. E. (1999). Valuing investments in intellectual capital.
    Technology Management, 18(5), 414-432.
    Bennis W.G., & O’Toole, J. (2005). How business schools lost their way. Harvard
    Business Review. 83(5), 96-104.
    Bontis, N. (1996, Summer). There's a price on your head: Managing intellectual
    capital strategically. Business Quarterly, 60(4), 40-47.
    Bontis, N. (1997). Intellectual capital questionnaire. Hamilton, Canada: Institute for
    Intellectual Capital Research Inc.
    Bontis, N. (1998). Intellectual capital: An exploratory study that develops measures
    and models. Management Decision, 36(2), 63-76.
    Bontis, N. (1999). Managing organizational knowledge by diagnosing intellectual
    capital: Framing and advancing the state of the field. International Journal of
    Technology Management. 18(5,6,7,8), 433-462.
    Bontis, N. (2001, March). Assessing knowledge assets: A review of the models used
    to measure intellectual capital. International Journal of Management Reviews.
    3(1), 41-60.

    Bontis, N. (2002, March, April). The rising star of the chief knowledge officer. Ivey
    Business Journal, 20-25.
    Bontis, N. & Fitz-enz, J. (2002). Intellectual capital roi: A casual map of human
    capital antecedents and consequents. Journal of Intellectual Capital. 3(3),
    233-247. doi: 10.1108/14691930210435589
    Bontis, N. & Serenko, A. (2007). The moderating role of human capital management
    practices on employee capabilities. Journal of Knowledge Management. 11(3),
    31-51.
    Bontis, N., Booker, L. D., & Serenko, A. (2008). The relevance of knowledge
    management and intellectual capital research. Knowledge and Process
    Management, 15(4), 235-246.
    Bontis, N., Crossan, M., & Hulland, J. (2002). Managing an organizational learning
    system by aligning stocks and flows. Journal of Management Studies. 39(4),
    437-469.
    Bontis, N., Keow, W. C. C., & Richardson, S. (2000). Intellectual capital and business
    performance in Malaysian industries. Journal of Intellectual Capita, 1(1),
    85-100.
    Bounfour, A., & Edvinsson, L. (2005). A public policy perspective on intellectual
    capital, In B. Marr (Ed.) Perspectives on intellectual capital. Oxford: Elsevier.
    Brooking, A. (1997), Intellectual capital. London: International Thomson Press.
    Bukh, P.N. (2003). The relevance of intellectual capital disclosure: A paradox?
    Accounting, Auditing & Accountability Journal, 16(1), 49-56.
    doi: 10.1108/09513570310464273
    Cabrita, M. D. R., & Bontis, N. (2008). Intellectual capital and business performance
    in the Portuguese banking industry. International Journal of Technology
    Management, 43(1-3), 212-237.
    Chan, I. & Chao, C.K. (2008, April). Knowledge management in small and
    medium-sized enterprise. Communications of the ACM. 51(4), 83-88.
    doi: 10.1145/1330311.1330328
    Chan, Y. E., & Nevo, D. (2007, July). A delphi study of knowledge management
    systems: Scope and requirements. Information & Management, 44, 583-597.
    Chareonsuk, C. & Chansa-Ngavej, C. (2007). Intangible asset management
    framework for long-term financial performance. Industrial Management & Data
    Systems. 108(6), 812-828.
    Chen, M. C. (2001). The effect of information technology investment and intellectual
    capital on business performance (Unpublished doctoral dissertation). National
    Central University, Taoyuan County, Taiwan.

    Chen, W.C. (2009). The impact of intellectual capital on business performance: A
    study of Taiwanese Design Industry (Unpublished master’s thesis). National
    Taiwan Normal University, Taiwan
    Chen, C. Y., & Huang, K. S. (2009). 台灣發展會展產業策略及目標定位問題之探討. [An
    exploratory study on the strategy and objective positioning of mice industry in
    Taiwan]. Web Journal of Chinese Management Review. [text in Chinese] Retrieved
    from http://www.mhcf.org.tw/image/%E5%AD%B8%E8%A1%931-1.pdf
    Chen, J., Zhu, Z., & Xie, H. Y. (2004). Measuring intellectual capital: A new model
    and empirical study. Journal of Intellectual Capital, 5(1), 195-212.
    Chen, M. C., Cheng, S. J., & Hwang, Y. (2005). An empirical investigation of the
    relationship between intellectual capital and firms' market value and financial
    performance. Journal of Intellectual Capital, 6(2), 159-176.
    Chin, W. W. (1998). The partial least squares approach to structural equation
    modeling. In G. A. Marcoulides (ed.), Modern Methods
    for Business Research (pp. 295-366). NJ: Lawrence Erlbaum Associates.
    Choo, C. & Bontis, N. (2002). Knowledge, intellectual capital, and strategy: Theme
    and tension. The strategic management of intellectual capital and organizational
    knowledge. New York: Oxford University Press.
    Cohen, A. M. (2009, November, December). Technology and the economy. The Futurist.
    Retrieved from Http://www.wfs.org
    Computex Taipei. (2010). Retrieved from
    http://www.computextaipei.com.tw/en_US/news/list.html
    Council for Economic Planning and Development 2000-2010 Taiwan, [CEPD].
    (2010). Retrieved from http://www.cepd.gov.tw/
    Davenport, T., & Prusak, L. (1998). Working knowledge. Boston, Mass: Harvard
    Business School Press.
    Davenport, T., & Volpel, S. (2001). The rise of knowledge towards attention
    management. Journal of Knowledge Management, 5(3), 212-222.
    Debowski, S. (2006). Knowledge management. Australia: John Wiley & Sons
    Australia, Ltd.
    Department of Investment Services. (2007). Meeting, incentive, convention, and
    exhibition (mice) industry: Analysis & investment opportunities. Taiwan: Taiwan
    Ministry of Economic Affairs.
    Drucker, P. F. (1993). Post-capitalist society. New York: HarperCollins Publishers.
    Drucker, P. F. (1999, Winter). Knowledge-worker productivity: The biggest challenge.
    California Mananagement Review, 41(2), 79-94.
    Duncan, W.J. (1974). Transferring management theory to practice. The Academy of
    Management Journal. 17(4), 724-738.

    Edvinsson, L. (1997, June). Developing Intellectual Capital at Skandia. Long Rang
    Planning, 33, 366-373.
    Edvinsson, L., & Malone, M.S. (1997). Intellectual capital: Realizing your company’s
    true value by finding its hidden brainpower. New York: Harper Collins.
    Edvinsson, L. & Sullivan, P. H. (1996). Developing a model for managing intellectual
    capital. European Management Journal, 14(4), 356-364.
    Executive Yuan (branch) of Taiwan, R.O.C. (2010). Retrieved from:
    http://www.ey.gov.tw/mp?mp=1
    Feiwal, G. (1975). The intellectual capital of Michal Kalecki: A study in economic
    theory and policy. Knoxville, TN: University of Tennessee.
    Fink, A. (1995). How to Ask Survey Questions. N.Y.: Sage Publications.
    Generally Accepted Accounting Principles [GAAP]. (2011). Financial Accounting Standards
    Board. Retrieved from http://www.fasb.org/home
    Gerdsri, N., Assakul, P., & Vatananan, R. S. (2010, February). An activity guideline for
    technology roadmapping implementation. Technology Analysis & Strategic
    Management, 22(2), 229-242.
    Ghosh, D., & Wu, A. (2007). Intellectual capital and capital markets: Additional
    evidence. Journal of International Capital, 8(2), 216-235.
    Ghoshal, S. (2005). Bad management theories are destroying good management
    practices. Academy of Management Learning and Education. 4(1), 75-91.
    Gilson, R. (2010). Locating innovation: The endogeneity of technology, organizational
    structural, and financial contracting. Columbia Law Review, 110(885), 885-917.
    The Global Association of the Exhibition Industry [UFI]. (2010). Retrieved
    from http://www.ufi.org
    Grado, S. C., Stauss, C. H., & Lord, B. E. (1998). Economic impacts of conferences
    and conventions. Journal of Convention and Exhibition Management. 1,
    19-33.
    Grey, C. (2001). Re-imagining relevance: A response to Starkey and Madan. British
    Journal of Management, 12, s27-s32.
    Hancock, P., Plowman, D., & Tan, H. P. (2007). Intellectual capital and financial
    returns of companies. Journal of Intellectual Capital, 8(1), 75-95.
    Hansson, B. (1997). Personnel investments and abnormal return: Knowledge-based
    firms and human resource accounting. Journal of Human Resource Costing and
    Accounting, 2(2), 9-29.
    Harman, K. & Koohang, A. (2005). Frequency of publication and topic emphasis of
    knowledge management books versus doctoral dissertations: 1983-2005. Journal
    of Computer Information System. 46(2), 64-68.
    Ho, C. T. (2009). The relationship between knowledge management enablers and
    performance. Industrial Management & Data Systems, 109(1), 98-117.
    Hsia, K. L., San, G. C., Chun, S. H., & Lin, Y. H.. (2007). 考量資源整合特質之會展產業
    平台系統 [Evaluate Resource Integration of MICE Industry platform system]. Web
    Journal of Chinese Management Review. [text in Chinese] Retrieved
    from http://cmr.ba.ouhk.edu.hk/cmr/webjournal/v10n3/CMR120C06.pdf
    Huang, C. J. (2007). 會展產業概論 [Mice industry overview principle]. Taiwan:
    Department of Commerce, Ministry of Economic Affairs of Taiwan, R.O.C. [text in
    Chinese].
    Inkpen, A. (1996). Creating knowledge through collaboration. California
    Management Review, 39(1), 123-140.
    The International Association of Professional Congress Organizers [IAPCO] (2011).
    Retrieved from http://www.iapco.org/
    International Congress and Convention Association, [ICCA]. (2010). Statistic Reports
    2000-2009. Retrieved from http://iccaworld.com
    International Monetary Fund [IMF] (2011). Retrieved from
    http://www.imf.org/external/index.htm
    Ladkin, A., & Weber, K. (2005). Trends affecting the convention industry in the 21st
    century. Journal of Convention and Event Tourism, 6(4), 47-63.
    Landaeta, R. E. (2008). Evaluating benefits and challenges of knowledge transfer
    across projects. Engineering Management Journal, 20(1), 29-38.
    Lawrence, M., & McCabe, V. (2001). Managing conference in regional areas: A
    practical evaluation in conference management. International Journal of
    Contemporary Hospitality Management, 13(4), 204-207.
    Lee, A., Cheng, C. H., Chadha, G. S. (1995). Synergism between information technology
    and organizational structure: a managerial perspective. Journal of Information
    Technology, 10, 37-43.
    Leonardi, P. M. (2009). Crossing the implementation line: The mutual constitution of
    technology and organizing across development and use activities. Communication
    Theory, 19, 278-310.
    Lev, B. (1997). The boundaries of financial reporting and how to extend them.
    Paper presented at the International Conference on Industrial Competitiveness in
    Knowledge-Based Economy, Stockholm, Sweden.
    Lev, B. (2001). Intangibles: Management, measurement, and reporting. Washington,
    D.C.: Brookings Institute Press.
    Lev, B. & Sougiannis, T. (1996). The capitalization, amortization, and value
    relevance of R&D. Journal of Accounting and Economics, 21, 107-138.
    Lin, S. F. (2008, January). Asia mice industry competitive trend: Discussion of
    Taiwan, Mainland China, Korea, Thailand, Singapore, and Malaysia’s
    competition. Taiwan Institute of Economic Research Monthly Report, 31(1),
    361 [text in Chinese]
    Lin, N.C., & Wei, S. C. (2010). Development trends of the mice industry in Taiwan.
    Journal of International Business Studies, R.O.C. 4(1). 209-223. [text in Chinese]Lubit, R. (2001). Tacit knowledge and knowledge management: The keys to sustained
    competitive advantage. Organizational Dynamics, 29(4), 164-178.
    Maani, K. E., & Maharaj, V. (2004, Spring). Links between systems thinking and complex decision making. System Dynamics Review 20(1), 21-48.
    Machlup, F. (1980). Knowledge: its creation, distribution, and economic significance:
    Knowledge and knowledge production (Vol 1). New Jersey: Princeton University
    Press.
    McCabe, V., Poole, B., Weeks, P., & Leiper, N. (2000). The business and
    management of conventions. Brisbane: Wiley & Sons.
    Ministry of Economic Affairs of Taiwan, R.O.C. 1996-2010 [MOEA R.O.C.]. (2010).
    Retrieved from: www.moea.gov.tw/Mns/populace/home/Home.aspx
    Moore, D. S., McCabe, G. P., Duckworth, W. M., & Alwan, L. C. (2009). The practice of
    business statistics: Using data for decisions (2nd ed.). New York, U.S.A.: W. H.
    Freeman and Company.
    Nonaka, I. & Teece, D. (2001). Managing industrial knowledge: Creation, transfer and
    utilization. London: Sage Publication.
    Nonaka, I. & Takeuchi, H. (1995). The knowledge creating company: How Japanese
    companies create the dynamics of innovation. New York: Oxford University Press.
    O’Donnell, O’Regan. P., Coates. B., Kennedy. T., Keary. B., & Berkery. G. (2003).
    How interaction: The critical source of intangible value. Journal of
    Intellectual Capital, 4, 82-99.
    Pearson, J.M., Pearson, A., & Shim, J.P. (2005). The relevancy of information systems
    research: The practitioner’s view. Information Resources Management Journal.
    18(3), 50-67.
    Petrash, G. (1996). Dow’s journey to a knowledge value management culture.
    European Management Journal. 14(4), 365-373.
    Petrash, G..P. and Bukowitz, W. R. (1997). Visualizing, measuring, and managing
    knowledge. Chemtech. 27(10) 6-10.
    Professional Convention Management Association [PCMA]. (2010).
    Retrieved from: www.pcma.org/Convene.htm
    Schultz, T. W. (1961, March). Investment in Human Capital. The American
    Economic Review, 51(1) 1-17.
    Schultz, T. W. (1962). Investment in human capital in poor countries. Foreign Trade and
    Human Capital. Dallas: Southern Methodist University Press.
    Senge, P. M. (1990/2006). The fifth discipline: The art & practice of the learning
    organization. New York: Doubleday, Random House Inc.
    Serenko, A., & Bontis, N. (2004). Meta-review of knowledge management and
    intellectual capital literature: Citation impact and research productivity rankings.
    Knowledge and Process Management, 11(3), 185-198.
    Serernko, A., Bontis, N., & Grant, J. (2008). A scientometric analysis of the
    proceedings of the McMaster World Congress on the Management of Intellectual
    Capital and Innovation for the 1996-2008 period. Journal of Intellectual Capital.
    10(1), 8-21.
    Shia, K.L., Sun, GC., Chen, SH., & Lin, YH. (2007, August). Examining the integration
    of resources of mice industry platform system. Web Journal of Chinese
    Management Review. 10(3), [text in Chinese]
    Shih, C. P. & Lin, H.Y. (2010, November). Review Trade show and Exhibition’s value
    Creation Knowledge Management for Emerging Taiwan MICE Industry. Paper
    presented at 13th International Business Research Conference, Melbourne, Australia.
    Stewart, T. (1997). Intellectual capital: The new wealth of organizations. New York:
    Doubleday.
    Stewart, T. (2002). The wealth of knowledge: Intellectual capital and twenty-first
    century organization. London: Nicholas Brealey Publishing Limited.
    Sullivan, P.H. (2000). Value-driven intellectual capital: How to convert intangible
    corporate assets into market value. NY: John Wiley & Sons.
    Sveiby, K.E. (1997). The New Organizational Wealth: Managing and measuring
    knowledge-based assets. San Francisco: Berrett-Koehler.
    Taiwan External Trade Development Council, [TAITRA]. (2010). Retrieved
    from: http://www.taitra.com.tw/index_ch.asp
    Talia, D. & Trunfio, P. (2010). How distributed data mining tasks can thrive as
    knowledge service. Communications of the ACM. 53(7), 132-138.
    Tourism Bureau of Taiwan, R.O.C. [TBT ROC] (2010). Retrieved from:
    http://taiwan.net.tw/w1.aspx
    Tuan, A. L. (2007). Mice industry marketing and sales planning. Taiwan: Department
    of Commerce, Ministry of Economic Affairs of Taiwan, R.O.C. [text in Chinese]
    Ulrich, D. (1998). Intellectual capital equals competence x commitment. Sloan
    Management Review, 39, 15-26.
    United Nations Statistics Division: ISIC Classification 1990-2010 [UNSD]. (2010).
    Retrieved from http://unstats.un.org/unsd/default.htm
    United States of America Census Bureau [USACB]. (2010). Retrieved
    from: http://www.census.gov/epcd/www/naics.html

    Wang, B., Tankg, Y., & Tang, Z. (2009). An evaluation of China typical industry
    information management based on business intelligence technology. Journal of
    Management Science and Statistical Decision. 6(4), 1-4.
    The World Bank [WB] (2011). Retrieved from http://www.worldbank.org/
    World Economic Forum [WEF] (2011). Retrieved from http://www.weforum.org/
    World Trade Organization [WTO] (2010). Trade Policy Review Report by Separate
    Customs Territory of Taiwan, Penghu, Kinmen and Matsu. Retrieved from:
    http://search.wto.org/search?q=MICE&site=English_website&bt9nG=Search&entqr=0&output=xml_no_dtd&sort=date%3AD%3AL%3Ad1&client=english_frontend&numgm=5&ud=1&oe=ISO-8859-1&ie=ISO-8859-1&proxystylesheet=english_frontend&proxyreload=1
    Ye, T.M. (2000). Taipei international mice development research. Retrieved
    from http://www.pccu.edu.tw [text in Chinese]
    Zahra, S., & George, G. (2002). Absorptive capacity: A review,
    reconceptualization, and extension. Academy of Management Review. 27(2),
    185-203.

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