研究生: |
謝宏琳 Hsieh, Hong-Ling |
---|---|
論文名稱: |
以模糊實質選擇權法評價-新興脊椎醫材公司投資案 The Fuzzy Real Option Analysis Based Valuation of the Investment Project of a Newly Established Spinal Medical Device Company. |
指導教授: |
黃啟祐
Huang, Chi-Yo |
學位類別: |
碩士 Master |
系所名稱: |
工業教育學系 Department of Industrial Education |
論文出版年: | 2017 |
畢業學年度: | 105 |
語文別: | 英文 |
論文頁數: | 189 |
中文關鍵詞: | 實質選擇權分析 、創業投資 、椎體壓縮性骨折 、脊椎醫材 、生物科技 、多準則決策分析 |
英文關鍵詞: | Real Option, VC, VCF, Spinal, Biotech, MCDM |
DOI URL: | https://doi.org/10.6345/NTNU202202912 |
論文種類: | 學術論文 |
相關次數: | 點閱:145 下載:0 |
分享至: |
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
隨著全球高齡化時代來臨,健康醫療產業將是未來全球最重要的發展趨勢之一,如脊椎退化、骨關節炎等骨骼肌肉系統退化病變,將進一步推升全球骨科醫材的市場需求。骨科相關手術的數量在前10大手術中佔比達到40%,是整體住院手術中的最大宗,其中脊椎相關手術又在骨科手術中排名第2,因此,在龐大需求下,越來越多公司相繼投入脊椎醫材,而全球創業投資業者也無法置身事外,勢必將持續投入大量資金投入於該產業。雖然投資創新脊椎醫材之新創公司至為重要,但過去少有妥善評價新興脊椎醫材的方法,而傳統的淨現值法(NPV)無法因應快速變動、且未來不確定的產業,因此,創投公司往往無法精確計算公司之價值,投資計劃往往失真。為修正傳統淨現值法的缺點,解決評價誤差的問題,提供創業投資業者新的評估方法。因此,本研究擬導入基於多準則決策分析架構之模糊實質選擇權(Fuzzy Real Option Analysis)法。本方法將可以改善淨現值法的缺點,精確地評估投資計劃的真實價值,分析該公司在面對如延遲(defer)、放棄(abandon)、縮小(contract)、擴大(expand)等不同決策選擇時,所創造之價值,以驗證該公司在不同決策選擇下確實存在彈性價值。本研究將以台灣新興脊椎醫材新創公司為例,評估其投資價值,研究結果除了能提供創投業者公司經營者投資決策的重要依據,分析架構也可由創業投資業者應用於其他投資案標的公司的價值評估。
With global aging era arriving, health care and biochemical industry become one of the most important developments in the near future. Spinal degeneration and other joint degeneration health concerns will play an important part of global market demand on bone related medical devices. Bone-related operations reaches 40% in top 10 operations has become the biggest portion of hospitalization operations of a whole. Spinal related operations come in second on the number of bone-related operations. Due to the enormous market demand, more companies successively pay attention to this industry. Surely the global venture capitalists (VC) will not ignore this current and will continuously bank heavily in this industry. As VCs all know that investment on innovative spinal related industry is a must, however, there is no valid and proper evaluation method on the market. The Net Present Value (NPV) method is not able to represent the reality of current ever changing industrial environment, thus it cannot provide a close to reality value to a company for an investment proposal. Venture capitalists are in need of a new method which eliminates the drawbacks of the Net Present Value (NPV) method. We believe through Fuzzy Real Option method, we can eliminate the drawbacks from NPV and will be able to evaluate the actual value on an investment proposal precisely. It will also evaluate the predicted values to the company when it is given different strategical options, such as defer, abandon, contract, and expand to prove the existence of flexible value when undergo different strategies. Fuzzy real option not only can provide the crucial piece of information for the CEO of the company when it comes to strategy making, but also can help VCs determine the value of the investment proposal of a potential investing candidate. This research will not only be focused on studying a newly established spinal medical device company and through fuzzy real option method to provide a piece of importance decision making information for the venture capitalists, but also can be used as an evaluation method for other investment projects.
Amit, R., Glosten, L., & Muller, E. (1990). Entrepreneurial ability, venture investments, and risk sharing. Management science, 36(10), 1233-1246.
Amram, M., & Kulatilaka, N. (1998). Real Options:: Managing Strategic Investment in an Uncertain World. OUP Catalogue.
Auh, S., & Menguc, B. (2007). Performance implications of the direct and moderating effects of centralization and formalization on customer orientation. Industrial marketing management, 36(8), 1022-1034.
Bengisu, M., & Nekhili, R. (2006). Forecasting emerging technologies with the aid of science and technology databases. Technological Forecasting and Social Change, 73(7), 835-844.
Black, F., & Scholes, M. (1973). The pricing of options and corporate liabilities. The journal of political economy, 637-654.
Bollen, N. P. (1999). Real options and product life cycles. Management science, 45(5), 670-684.
Boyle, P. P. (1977). Options: A monte carlo approach. Journal of Financial Economics, 4(3), 323-338.
Chen, S.-J., & Lin, L. (2004). Modeling team member characteristics for the formation of a multifunctional team in concurrent engineering. IEEE Transactions on Engineering Management, 51(2), 111-124.
Chiu, Y.-J., Chen, H.-C., Tzeng, G.-H., & Shyu, J. Z. (2006). Marketing strategy based on customer behaviour for the LCD-TV. International journal of management and decision making, 7(2-3), 143-165.
Copeland, T., & Antikarov, V. (2003). V., 2001. Real Options: A Practitioner’s Guide: WW Norton & Co.
Cox, J. C., Ross, S. A., & Rubinstein, M. (1979). Option pricing: A simplified approach. Journal of Financial Economics, 7(3), 229-263.
Dalkey, N., & Helmer, O. (1963). An experimental application of the Delphi method to the use of experts. Management Science, 9(3), 458-467.
Dalkey, N. C. (1972). The Delphi method: Anexperimental study of group opinion. In N. C. Dalkey,
D. L. Rourke, R. Lewis, & D. Snyder (Eds.). . Delphi and decision-making (pp. 13-54).
Derkinderen, F. G., & Crum, R. L. (1981). Readings in strategy for corporate investment: Harpercollins College Div.
Falatoonitoosi, E., Ahmed, S., & Sorooshian, S. (2014). Expanded DEMATEL for determining cause and effect group in bidirectional relations. The Scientific World Journal, 2014.
Fan, Z.-P., Suo, W.-L., & Feng, B. (2012). Identifying risk factors of IT outsourcing using interdependent information: An extended DEMATEL method. Expert Systems with Applications, 39(3), 3832-3840.
Feinstein, S. P., & Lander, D. M. (2002). A better understanding of why NPV undervalues managerial flexibility. The Engineering Economist, 47(4), 418-435.
Gabus, A., & Fontela, E. (1972). World problems, an invitation to further thought within the framework of DEMATEL. Battelle Geneva Research Center, Geneva, Switzerland.
Green, A., Armstrong, J., & Graefe, A. (2007). Methods to elicit forecasts from groups: Delphi and prediction markets compared, foresight: the international journal of applied forecasting (forthcoming) and Munich Personal RePEc Archive. MPRA Paper, 4663.
Greenwald, D. (1982). Encyclopedia of economics: McGraw-Hill Companies.
Hall, J., & Hofer, C. W. (1993). Venture capitalists' decision criteria in new venture evaluation. Journal of business venturing, 8(1), 25-42.
Huang, C.-Y., Kao, Y.-S., Wu, M.-J., & Tzeng, G.-H. (2013). Deriving factors influencing the acceptance of Pad Phones by using the DNP based UTAUT2 framework. Paper presented at the Technology Management in the IT-Driven Services (PICMET), 2013 Proceedings of PICMET'13:.
Huang, C.-Y., Shyu, J. Z., & Tzeng, G.-H. (2007). Reconfiguring the innovation policy portfolios for Taiwan's SIP Mall industry. Technovation, 27(12), 744-765.
Huang, C.-Y., & Ting, Y.-H. (2012). Derivations of factors influencing the word-of-mouth marketing strategies for smart phone applications by using the Fuzzy DEMATEL based Network Process. Paper presented at the Fuzzy Theory and it's Applications (iFUZZY), 2012 International Conference on.
Jeng, D. J.-F., & Tzeng, G.-H. (2012). Social influence on the use of clinical decision support systems: revisiting the unified theory of acceptance and use of technology by the fuzzy DEMATEL technique. Computers & Industrial Engineering, 62(3), 819-828.
Johnson, M. W., Christensen, C. M., & Kagermann, H. (2008). Reinventing your business model. Harvard business review, 86(12), 57-68.
Jones, J., & Hunter, D. (1995). Consensus methods for medical and health services research. BMJ: British Medical Journal, 311(7001), 376.
Jones, T. W., & Smith, J. D. (1982). An historical perspective of net present value and equivalent annual cost. The Accounting Historians Journal, 103-110.
Judd, R. C. (1972). Use of Delphi methods in higher education. Technological Forecasting and Social Change, 4(2), 173-186.
Kelley, A. J., Campanella, F. B., & McKiernan, J. (1971). Venture Capital: A Guidebook for New Enterprises: Management Institute, School of Management, Boston College.
Keuschnigg, C., & Nielsen, S. B. (2003). Tax policy, venture capital, and entrepreneurship. Journal of Public economics, 87(1), 175-203.
Kogut, B., & Kulatilaka, N. (2001). Capabilities as real options. Organization Science, 12(6), 744-758.
Lee, C. C., & Ou-Yang, C. (2009). A neural networks approach for forecasting the supplier’s bid prices in supplier selection negotiation process. Expert Systems with Applications, 36(2), 2961-2970.
Lewellen, W. G., Lanser, H. P., & McConnell, J. J. (1973). Payback substitutes for discounted cash flow. Financial Management, 17-23.
Li, Y., Hu, Y., Zhang, X., Deng, Y., & Mahadevan, S. (2014). An evidential DEMATEL method to identify critical success factors in emergency management. Applied Soft Computing, 22, 504-510.
Liao, S., Wu, M.-J., Huang, C.-Y., Kao, Y.-S., & Lee, T.-H. (2014). Evaluating and enhancing three-dimensional printing service providers for rapid prototyping using the DEMATEL based network process and VIKOR. Mathematical Problems in Engineering, 2014.
Lin, C.-L., & Tzeng, G.-H. (2009). A value-created system of science (technology) park by using DEMATEL. Expert Systems with Applications, 36(6), 9683-9697.
Linstone, H. A., & Turoff, M. (1975). The Delphi method: Techniques and applications (Vol. 29): Addison-Wesley Reading, MA.
Mechlin, G. F., & Berg, D. (1980). Evaluating research: ROI is not enough.[Return on investment]. Harvard Bus. Rev.;(United States), 58(5).
Meesapawong, P., Rezgui, Y., & Li, H. (2014). Planning innovation orientation in public research and development organizations: using a combined Delphi and analytic hierarchy process approach. Technological Forecasting and Social Change, 87, 245-256.
Miller, D., & Friesen, P. H. (1984). A longitudinal study of the corporate life cycle. Management science, 30(10), 1161-1183.
Murry Jr, J. W., & Hammons, J. O. (1995). Delphi: A Versatile Methodology for Conducting Qualitative Research. Review of Higher Education, 18(4), 423-436.
Murry, J. W., & Hammons, J. O. (1995). Delphi: A versatile methodology for conducting qualitative research. The Review of Higher Education, 18(4), 423.
Myers, S. C. (1977). Determinants of corporate borrowing. Journal of Financial Economics, 5(2), 147-175.
Myers, S. C. (1984). Finance theory and financial strategy. Interfaces, 14(1), 126-137.
Ocker, R., Hiltz, S. R., Turoff, M., & Fjermestad, J. (1995). The effects of distributed group support and process structuring on software requirements development teams: Results on creativity and quality. Journal of Management Information Systems, 12(3), 127-153.
Patil, S. K., & Kant, R. (2014). A hybrid approach based on fuzzy DEMATEL and FMCDM to predict success of knowledge management adoption in supply chain. Applied Soft Computing, 18, 126-135.
Rossouw, A., Hacker, M., & de Vries, M. J. (2011). Concepts and contexts in engineering and technology education: An international and interdisciplinary Delphi study. International Journal of Technology and Design Education, 21(4), 409-424.
Ruekert, R. W. (1992). Developing a market orientation: an organizational strategy perspective. International journal of research in marketing, 9(3), 225-245.
Scott, D. G., Washer, B. A., & Wright, M. D. (2006). A Delphi study to identify recommended biotechnology competencies for first-year/initially certified technology education teachers. Co-sponsored by International Technology Education Association Council on Technology Teacher Education, 17(2).
Scott, S. G., & Bruce, R. A. (1994). Determinants of innovative behavior: A path model of individual innovation in the workplace. Academy of management journal, 37(3), 580-607.
Sethi, R. (2000). New product quality and product development teams. Journal of Marketing, 64(2), 1-14.
Sung, W. (2001). Application of Delphi method, a qualitative and quantitative analysis, to the healthcare management. Journal of Healthcare Management, 2(2), 11-19.
Tamura, M., Nagata, H., & Akazawa, K. (2002). Extraction and systems analysis of factors that prevent safety and security by structural models. Paper presented at the SICE 2002. Proceedings of the 41st SICE Annual Conference.
Trigeorgis, L. (1996). Real options: Managerial flexibility and strategy in resource allocation: MIT press.
Trigeorgis, L., & Mason, S. P. (1987). Valuing managerial flexibility. Midland corporate finance journal, 5(1), 14-21.
Tyebjee, T. T., & Bruno, A. V. (1984). A model of venture capitalist investment activity. Management science, 30(9), 1051-1066.
Tzeng, G.-H., & Huang, C.-Y. (2012). Combined DEMATEL technique with hybrid MCDM methods for creating the aspired intelligent global manufacturing & logistics systems. Annals of Operations Research, 197(1), 159-190.
Winkler, J., Kuklinski, C. P. J.-W., & Moser, R. (2015). Decision making in emerging markets: The Delphi approach's contribution to coping with uncertainty and equivocality. Journal of Business Research, 68(5), 1118-1126.
Yang, Y.-P. O., Shieh, H.-M., Leu, J.-D., & Tzeng, G.-H. (2008). A novel hybrid MCDM model combined with DEMATEL and ANP with applications. International Journal of Operations Research, 5(3), 160-168.