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Combining Qualitative Comparative Analysis and Shapley Value Decomposition: A Novel Approach for Modeling Complex Causal Structures in Dynamic Markets

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  • Daniel Kaimann

    (University of Paderborn)

Abstract

Depending on which combination of factors is used in empirical analyses, regression results lead to varying levels of significance or even insignificance and, consequently, to inconsistent results. Linear algebra and linear regression models are apparently not able to analyze complex causal structures in dynamic markets. Boolean algebra, qualitative comparative analysis (QCA) and the game theoretical-based model of the Shapley value could be more suitable for covering dynamic market structures and, consequently, for helping us to understand what significantly affects complex cause-effect relationships. Using proprietary data from the volatile motion-picture industry, we show that a segmentation and brand extension strategy are sufficient for achieving high market performance and that certain conditions (e.g., production budget, critic reviews and brand extension products) appear particularly appropriate for gaining a competitive advantage.

Suggested Citation

  • Daniel Kaimann, 2014. "Combining Qualitative Comparative Analysis and Shapley Value Decomposition: A Novel Approach for Modeling Complex Causal Structures in Dynamic Markets," Working Papers Dissertations 12, Paderborn University, Faculty of Business Administration and Economics.
  • Handle: RePEc:pdn:dispap:12
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    References listed on IDEAS

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    1. Kalle Pajunen, 2008. "Institutions and inflows of foreign direct investment: a fuzzy-set analysis," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 39(4), pages 652-669, June.
    2. Jordi McKenzie & W. Walls, 2013. "Australian films at the Australian box office: performance, distribution, and subsidies," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 37(2), pages 247-269, May.
    3. W. Walls, 2005. "Modeling Movie Success When ‘Nobody Knows Anything’: Conditional Stable-Distribution Analysis Of Film Returns," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 29(3), pages 177-190, August.
    4. Nikolay Archak & Anindya Ghose & Panagiotis G. Ipeirotis, 2011. "Deriving the Pricing Power of Product Features by Mining Consumer Reviews," Management Science, INFORMS, vol. 57(8), pages 1485-1509, August.
    5. Jordi McKenzie, 2010. "How do theatrical box office revenues affect DVD retail sales? Australian empirical evidence," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 34(3), pages 159-179, August.
    6. Stefano Moretti & Fioravante Patrone & Stefano Bonassi, 2007. "The class of microarray games and the relevance index for genes," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 15(2), pages 256-280, December.
    7. Kvist, Jon, 2007. "Fuzzy set ideal type analysis," Journal of Business Research, Elsevier, vol. 60(5), pages 474-481, May.
    8. Ragin, Charles C., 2000. "Fuzzy-Set Social Science," University of Chicago Press Economics Books, University of Chicago Press, edition 1, number 9780226702773.
    9. Park, C Whan & Milberg, Sandra & Lawson, Robert, 1991. "Evaluation of Brand Extensions: The Role of Product Feature Similarity and Brand Concept Consistency," Journal of Consumer Research, Oxford University Press, vol. 18(2), pages 185-193, September.
    10. Ravid, S Abraham, 1999. "Information, Blockbusters, and Stars: A Study of the Film Industry," The Journal of Business, University of Chicago Press, vol. 72(4), pages 463-492, October.
    11. Nikolay Archak & Anindya Ghose & Panagiotis G. Ipeirotis, 2007. "Deriving the Pricing Power of Product Features by Mining Consumer Reviews," Working Papers 07-36, NET Institute.
    12. De Vany, A. & Walls, W.D., 1999. ""Uncertainty in the Movies: Does Star Power Reduce the Terror of the Box Office?"," Papers 98-99-10, California Irvine - School of Social Sciences.
    13. Randy Nelson & Robert Glotfelty, 2012. "Movie stars and box office revenues: an empirical analysis," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 36(2), pages 141-166, May.
    14. Shapley, L. S. & Shubik, Martin, 1954. "A Method for Evaluating the Distribution of Power in a Committee System," American Political Science Review, Cambridge University Press, vol. 48(3), pages 787-792, September.
    15. Vis, Barbara & Woldendorp, Jaap & Keman, Hans, 2007. "Do miracles exist? Analyzing economic performance comparatively," Journal of Business Research, Elsevier, vol. 60(5), pages 531-538, May.
    16. Nelson, Randy A, et al, 2001. "What's an Oscar Worth?," Economic Inquiry, Western Economic Association International, vol. 39(1), pages 1-16, January.
    17. Arthur De Vany & W. David Walls, 2002. "Does Hollywood Make Too Many R-Rated Movies? Risk, Stochastic Dominance, and the Illusion of Expectation," The Journal of Business, University of Chicago Press, vol. 75(3), pages 425-452, July.
    18. Mohanbir S. Sawhney & Jehoshua Eliashberg, 1996. "A Parsimonious Model for Forecasting Gross Box-Office Revenues of Motion Pictures," Marketing Science, INFORMS, vol. 15(2), pages 113-131.
    19. Pradeep K. Chintagunta & Shyam Gopinath & Sriram Venkataraman, 2010. "The Effects of Online User Reviews on Movie Box Office Performance: Accounting for Sequential Rollout and Aggregation Across Local Markets," Marketing Science, INFORMS, vol. 29(5), pages 944-957, 09-10.
    20. Stanko, Michael A. & Olleros, Xavier, 2013. "Industry growth and the knowledge spillover regime: Does outsourcing harm innovativeness but help profit?," Journal of Business Research, Elsevier, vol. 66(10), pages 2007-2016.
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    More about this item

    Keywords

    Dynamic markets; Qualitative comparative analysis; Shapley value; Motion-Picture economics;
    All these keywords.

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C71 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Cooperative Games
    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General
    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media

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