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Patents Valuation and Coopetition Strategy Implementation in High-Technology Industry based on Analytic Hierarchy Process and System Dynamic Framework

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Title page for etd-0120115-141420


URNetd-0120115-141420
AuthorRichard Giovanni Oentoro (溫忠儀)
Author's Email Addressrichard_g_oentoro@hotmail.com
StatisticsThis thesis had been viewed 17 times. Download 0 times.
DepartmentDepartment of Industrial Management
Year2014
Semester1
DegreeMaster
Type of DocumentMaster's Thesis
LanguageEnglish
TitlePatents Valuation and Coopetition Strategy
Implementation in High-Technology Industry based on Analytic Hierarchy
Process and System Dynamic Framework
Title (Chinese)高科技產業專利鑑價與競合策略-層級分析法及系統動態建模
Date of Defense2014-12-05
Page Count109
Keyword
  • Game theory

  • AHP

  • Patent valuation

  • System dynamics

  • Intangible assets

  • Keyword (Chinese)
  • 賽局理論

  • AHP

  • 系統動態

  • 專利價值

  • 有形資產

  • AbstractThis study
    using two approaches in order to help the high technology industry faces
    the complex competition and market uncertainties. The first one by
    using the combination of AHP (Analytic Hierarchy Process) and System
    Dynamics (SD) to calculate the patent value that used in the high-tech
    Industry. And the second one was through examine the need of
    coopetition, one condition where the firms can cooperate and compete at
    the same time. Obtaining the right value of the patent can help the
    company in spending their R&D budget wisely and having better
    competitive advantage in the future. Through these two approaches, the
    profit that was expected to be earned by the company can be boosted.
    Three patents were considered to be applied in the product
    13.3”Notebook–DW30 by W corporation, one of the biggest ODM company in
    Taiwan. There are Magnetic Mechanism, Special Charging Function, and
    Concealable Connector. The model of the corporation consists of five sub
    model, demand order sub-model, project management sub-model, production
    control sub-model, research and development department sub-model, and
    financial planning sub-model. The second patent, Special Charging
    function with cumulative index of 24.86 shows the highest profit in this
    simulation, followed by the first patent, magnetic mechanism (24.11)
    and the third patent, concealable connector (18.74). And in terms of
    coopetition with the other firm, there was around 29,001,200 NTD of
    additional profit for BU A, and around 31,225,175 NTD for BU B if they
    choose to collaborate each other and sharing their technology. The
    result of this study could provide a scientific basis for the company
    management to make well founded management decisions as well as buying
    the right patent for the company.
    Abstract (Chinese)本研究使用兩種方法幫助面臨高度
    複雜競爭與市場不確定性之高科技產業,其一結合AHP(層級分析法)及SD(系統動態)來計算使用於高科技產業中的專利價值;其二透過檢驗競合策略的必要
    性,判斷何種狀況下將促使企業同時採取競爭與合作。藉由獲知正確的專利價值將有助於公司在研發方案作出明智選擇,同時在未來保有競爭優勢,透過這兩種方
    法,公司的利潤提升將是可預期的。。有三項專利正被W企業,台灣最大ODM之一的公司,考量應用於產品13.3”Notebook-DW30上.
    分別為:
    磁性機制,特殊的充電機能,以及隱藏式的連接器。此公司的模型包含五個子模型,分別是訂購需求、專案管理、生產控制、研究及發展部門,與財務規劃。結果顯
    示,第二項專利之特殊充電機能,以最高的累積指數(24.86),在本研究的模擬當中,展現出最佳的結果。接著是第一項專利的磁性機制(24.11),及
    第三項專利的隱藏連接器(18.74)。就與其他公司的競合策略而言,若能夠彼此合作並共享技術,事業單位A將可額外獲得29,001,200新台幣利
    潤、事業單位B可額外獲得31,225,175新台幣利潤。本研究結果可提供科學數據給公司管理階層,使其能做出具良好依據的管理決策,並能夠為公司購買
    正確的專利。
    Table of ContentsTABLE OF CONTENTS
    Abstract i
    摘要 ii
    Acknowledgement iii
    list of tables viii
    List of Figures x
    1. Introduction 1
    1.1 Research Background 1
    1.2 Research Objectives 3
    1.3 Problem Definition 4
    1.4 Research Process 5
    1.5 Research Framework 6
    2. Literature review 7
    2.1 Patent Valuation 7
    2.1.1 Discounted Cash Flow 8
    2.1.2 Continuous time – Black Scholes (B-S) Option Pricing Models 9
    2.2 AHP 10
    2.3 Game theory and Coopetition Strategy 12
    2.4 System Dynamics 13
    2.5 Company Case Profile 16
    3. Valuing Patent criteria and System Dynamic Implementation 19
    3.1 Calculation of the Patent Index 21
    3.2 AHP (Analytic Hierarchy Process) 22
    3.3 System Dynamics 27
    3.3.1 Causal Loop of the System 27
    3.3.2 Process flow design and mathematical model 27
    3.3.3 Demand Order 33
    3.3.4 Project Management 34
    3.3.5 Production control 35
    3.3.6 Research and Development 36
    3.3.7 Financial planning department 37
    3.3.8 Verification and Validation 38
    3.3.8 Model Verification 38
    3.3.9 Model Validation 39
    3.4 Individual Firm Simulation 41
    3.5 Scenario Development 43
    3.5.1. Patent Implementation Scenario 44
    3.5.2 Expert Preferences Scenario 47
    3.6 Taguchi Robust Design 52
    4. Modelling of two business unit 56
    4.1 BU A and BU B Base Model 56
    4.2 Technology Valuation Modelling 57
    4.2.1. Technology Classification 58
    4.2.2. Simulation of Technology Valuation 58
    4.3 Firm cooperation strategy - business process model 65
    4.4 Relationship between two firms 67
    4.5 BU technology exchange 72
    4.6 Coopetition strategy profit analysis 75
    4.7 Taguchi Robust Design for 2 BU 77
    5. Conclusion 81
    REFERENCES 83
    APPENDIX 89
    ReferencesPitkethly,
    Robert. (1997). The Valuation of Patents: A review of Patent Valuation
    Methods with Consideration of Option Based Methods and the potential for
    further research. Conference of New Developments in Intellectual
    Property: Law and Economics, Oxford, United Kingdom.
    http://www.wistron.com/about/company_profile.html
    Kumar,
    J.L.G., Wang, Z.Y., Y.Q Zhao., Babatunde, A.O., Zhao, X.H. (2011).
    STELLA software as a tool for modeling phosphorus removal in constructed
    wetland employing dewatered alum sludge as main substrate. Journal of
    Envirronmental Science and Health, Part A, 46 (7): 751-757.
    Dyson, B.
    and Chang, N. B. (2005). Forecasting municipal solid waster generation
    in a fast-growing urban region with system dynamics modeling. Waste
    Management, 25: 669-679.
    S. Erma, Shou-Yan Chou, Rudi Hartono,
    Chih-Hsien Chen. (2010). Demand Scenario Analysis and Planned Capacity
    Expansion: A system dynamics framework. Simulation Modelling Pranctice
    and Theory. p.732-751.
    S. Erma, Shou-Yan Chou, Chih-Hsien Chen.
    (2010). “Air Passanger Demand Forcasting and Passanger terminal
    Capacitiy Expansion: A system Dynamics Framework,” Expert System with
    Applications. p.2324-2339.
    Evans, G.N. and Naim, M.M. (1994). The
    dynamics of capacity constrained supply chains‟, Proceedings of
    International System Dynamics Conference, Stirling, Scotland, pp.28–35.
    Helo P. (2000). Dynamic modeling of surge effect and capacity limitation in supply chains. Int J Prod Res 38/17:4521–4533.
    Anderson
    E, Morrice D, Lundeen G (2005). The “physics‟ of capacity and backlog
    management in service and custom manufacturing supply chains. System
    Dynamic Review 22/3:217–247
    Ozbayrak M, Papadopoulou T.C, Akgun M.
    (2007). System Dynamics Modelling of a Manufacturing Supply Chain
    System. Simulation Modelling Practice and Theory 15: 1338-1355.
    Barlas, Yaman. (1994). Model Validation in System dynamics. International System Dynamics Conference.
    Chaplinsky,
    Susan. (2002). Methods of Intellectual Property Valuation. University
    of Virginia Darden School Foundation, Charlottesville, VA.
    Kabariti
    M, Taher A. (1993). Evaluation of Conventional and Renewable Energy
    Sources for Space Heating in Household Sector; Proceedings of the fourth
    Arab International Solar Energy Conference, Amman, Jordan. p.
    1023–1033.
    Elkarmi F. (1993), In: Proceedings of the fourth Arab International Solar Energy Conference, Amman, Jordan. p. 1003–1014.
    J.O
    Jaber, Q.M Jaber, S.A Sawalha, M.S. Mohsen. (2006). Evaluation of
    Conventional and Renewable Energy Sources for Space Heating in the
    Household Sector. Renewable and Sustainable Energy Review.
    Zhang Z,
    Lu W.X, Song W.B. (2014). Development Tendency Analysis and Evaluation
    of the water ecological carrying capacity in the Siping area of jilin
    Province in China based on System Dynamics and Analytic Hierarchy
    Process. Ecological Modelling 275: 9-21.
    Tokunaga M, Hashimoto H.
    (2013). Factor Affecting the Entry of for-Profit Providers into a Price
    Regulated Market for Formal Long-term Care Services: A Case Study form
    Japan. Journal of Social Science and Medicine vol 76. P.143-149.
    Harhoff, Dietmar. (1996). Strategic Spillovers and Incentives for Research and Development, Management Science 42:6 ,907-925.
    Chang,
    Andrew C. (2011). Inter-Industry Strategic R&D and
    Supplier-Demander Relationships. Review of Economics and Statistics.
    Becker,
    Wolfgang and Jurgen Dietz. (2004). R&D Cooperation and Innovation
    Activities of Firms-Evidence for the German Manufacturing Industry,”
    Research Policy 33:2 ,209-223
    Barlet, Corinne et al. (1998). The
    Commercial Success of Innovations An Econometric Analysis at the firm
    level in French Manufacturing. Conference on the Economics and
    Econometrics of Innovation.
    http://www.frost.com/prod/servlet/mcon-mktmeasures-mkt-size.pag accesed at 2014/5 /12 4.41 AM
    Kortge, Dean G. (1993). Link Sales Training and Product Life Cycles, Industrial Marketing Management, 22:3, 239-245
    Kortge,
    Dean G et al. (1994). Linking Experience, Product Life Cyclem and
    Learning Curves. Industrial Marketing Management 23, 221-228.
    Golnam,
    Arash and Nader Ale Ebrahim. (2005). Applying System Dynamics to
    Confront Complex Decision Making in R&D Systems. University of
    Malaya.

    Lee, Sungjoo et al. (2009). Business Planning Based on
    Technologucal Capabilities: Techonology Driven Roadmapping,
    Technological Forecasting & Social Change 76, 769-786.
    F. Narin, E. Noma, R. Perry. (1987). Patents as indicators of corporate technological strength, Res. Policy 16 (2–4), 143–155.
    M. Mogee. (1991). Using patent data for technology analysis and planning, Res. — Technol. Manage. 4 43–49.
    M.
    Hirschey, V. Richardson. (2001). Valuation effects of patent quality: a
    comparison for Japanese and US firms, Pac.-Basin Finance J. 9, 65–82.
    Myerson, Roger B. (1991). Game Theory: analysis of conflict. Harvard University press, p. vii-xi.
    Park,
    Hyunseok, Y.Janghyeok, and K. Kwangsoo. (2013). Using function-based
    analysis to identify potential application areas of technology for
    technology transfer. Expert System with Application, 40, 13, 5260-5265.
    F.M.
    Scherer. (1981). Using linked patent and R&D data to measure
    inter-industry technology flows. Z. Griliches (Ed.), R&D, Patents,
    and Productivity, University of Chicago Press for NBER, Chicago, pp.
    417–464
    Chen Yunwei, Yang Zhiping, Fang Shu, Hu Zeng yin, Martin
    Meyer, and Sujit Bhattacharya. (2009). A patent based evaluation of
    technological innovation capability in eight ecomonoc regions in PR
    China. World Patent Information 31, 104-110.
    Deng Liqiu, Babbitt
    Callie W, Williams Eric D. (2011). Electronic –balance hybrid LCA
    extended with uncertainty analysis: Case study of a laptop computer.
    Jourbak kif Cleaner Production vol 19, p1198-1206
    Ahluwalia Poonam
    Khanijo, Nema Arvind K. (2007). A life cycle based multi-objective
    optimization model for the management of computer waste. Resources,
    Conservation and Recycling vol 51, p792-826.
    Brealey, R.A., Myers, S.C. (2003). Principles of Corporate Finance, seventh ed. McGraw-Hill, Boston.
    Copeland,
    T.E., Koller, T., Murrin, J. (2000). Valuation: Measuring and Managing
    the Value of Companies, third ed. Wiley, New York.
    Drury, C. (2004). Management and Cost Accounting, sixth ed. Thomson, London.
    Min,
    Z, Feiqi, D & Sai, W. (2008). Coordination game model of
    co-opetition relationship on cluster supply chains. Systems Journal of
    Engineering and Electronics, 19(3), 499-506.
    Chin, K. S., Chan, B.
    L., & Lam, P. K. (2008). Identifying and prioritizing critical
    success factors for coopetition strategy. Industrial Management &
    Data Systems, 108(4), 437-454.
    Wu, sheng-Ju, Kwan Ouyang, Sheau-Wen
    Shiah. (2008). Robust design of microbubble drag reduction in a channel
    flow using the Taguchi Method. Ocean Engineering 35, 856-863.
    Zhou, Y. (2009). High-Tech Industry. International Encyclopedia of Human Geography, 122-127.
    Xin,
    T., & Yu, L-Y. (2013, July). Evolutionary game analysis on the
    co-opetition of enterprise innovation in hi-tech industry cluster. In
    Management Science and Engineering (ICMSE), 2013 International
    Conference on (pp. 1955-1961). IEEE..
    Arsenyan, J., Buyukozkan, G.,
    & Feyzioğlu, O. (2011). Modelling Collaboration Formation with a
    Game Theory Approach. In Proceedings of the World Congress on
    Engineering (Vol. 1).
    Atallah, G. (2004). The Allocation Resources to
    Cooperative And Noncooperative R&D*. Australian Economic Papers,
    43(4), 435-447.
    Brandenburger, A. M., & Nalebuff, B. J. (1997).
    Co-Opetition: A Revolution Mindset That Combines Competition And
    Cooperation: The Game Theory Strategy That's Changing. Currency
    Doubleday..
    F. Bleicher, H.Paul. (1983). Managerial Framework for innovation responses in high-tech organization, Business Horizons, 69-78.
    E.M. Rogers, J.K Larson. (1984). Silicon valley fever: Growth of high-technology culture. Basic Books, N.Y.
    Riggs, E. H. (1985). Managing high-tech companies, Van Nostrano Reinhold, N.Y.
    Liu,
    Panag-Lo. (2011). Empirical Study on influence of critical success
    factors on ERP knowledge management on management performance in
    high-tech industries in Taiwan, Expert systems with application, 38(8),
    10696-10704.
    Moorthy, K.Sridhar. (1985). Using game theory to model competition, Journal of Marketing Research, 22(3), 262-282.
    Saaty, T.L. (1980). The Analytic Hierarchy Process. McGraw-Hill, New York.
    http://bpmsg.com/academic/ahp_calc.php
    Advisory Committee
  • Sophia Wang - Advisory Committee


  • Ren-Jieh Kuo - Advisory Committee


  • Kung-Jeng Wang - Adviser


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    Date of Submission2015-01-23

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