IDEAS home Printed from https://ideas.repec.org/a/inm/orstsc/v8y2023i1p44-61.html

The Varying Returns to Diversification Along the Value Chain

Author

Listed:
  • Ekaterina Karniouchina

    (Lorry I. Lokey School of Business and Public Policy, Mills College at Northeastern University, Oakland, California 94613)

  • Stephen J. Carson

    (David Eccles School of Business, University of Utah, Salt Lake City, Utah 84112)

  • William L. Moore

    (David Eccles School of Business, University of Utah, Salt Lake City, Utah 84112)

  • Kumar R. Sarangee

    (Leavey School of Business, Santa Clara University, Santa Clara, California 95053)

  • Can Uslay

    (Rutgers Business School at Newark and New Brunswick, Rutgers, The State University of New Jersey, Piscataway, New Jersey 08854)

Abstract

This study examines whether the benefits of diversification vary across different value chain activities. The returns to diversification in product development and distribution activities are analyzed using a framework grounded in the intraindustry diversification literature and the resource-based view (RBV) of the firm. The study uses data from cocreation arrangements in the motion picture industry in which value chain activities are nearly decomposable—that is, split across producers and distributors—as a natural field study. Results based on 779 movies linked to 57 different production studios and distributed via 30 unaffiliated distributors or vertically integrated distribution branches show that greater focus in film production has a positive effect on profitability, whereas the level of focus/diversification in distribution is unrelated to profitability. This result holds regardless of whether the two functions are carried out within an integrated organization or across independent firms. Moreover, there is significant heterogeneity in the extent to which production studios benefit from increased focus which is tied to the composition of their product portfolios.

Suggested Citation

  • Ekaterina Karniouchina & Stephen J. Carson & William L. Moore & Kumar R. Sarangee & Can Uslay, 2023. "The Varying Returns to Diversification Along the Value Chain," Strategy Science, INFORMS, vol. 8(1), pages 44-61, March.
  • Handle: RePEc:inm:orstsc:v:8:y:2023:i:1:p:44-61
    DOI: 10.1287/stsc.2022.0171
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/stsc.2022.0171
    Download Restriction: no

    File URL: https://libkey.io/10.1287/stsc.2022.0171?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Rebecca Henderson & Iain Cockburn, 1996. "Scale, Scope, and Spillovers: The Determinants of Research Productivity in Drug Discovery," RAND Journal of Economics, The RAND Corporation, vol. 27(1), pages 32-59, Spring.
    2. Jeremy C. Short & David J. Ketchen & Timothy B. Palmer & G. Tomas M. Hult, 2007. "Firm, strategic group, and industry influences on performance," Strategic Management Journal, Wiley Blackwell, vol. 28(2), pages 147-167, February.
    3. Moshe Farjoun & Linda Lai, 1997. "Similarity Judgments In Strategy Formulation: Role, Process And Implications," Strategic Management Journal, Wiley Blackwell, vol. 18(4), pages 255-273, April.
    4. Sydney Finkelstein & Jerayr Haleblian, 2002. "Understanding Acquisition Performance: The Role of Transfer Effects," Organization Science, INFORMS, vol. 13(1), pages 36-47, February.
    5. Daniel A. Levinthal & Brian Wu, 2010. "Opportunity costs and non‐scale free capabilities: profit maximization, corporate scope, and profit margins," Strategic Management Journal, Wiley Blackwell, vol. 31(7), pages 780-801, July.
    6. Talli Zahavi & Dovev Lavie, 2013. "Intra‐industry diversification and firm performance," Strategic Management Journal, Wiley Blackwell, vol. 34(8), pages 978-998, August.
    7. 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.
    8. Ekaterina V. Karniouchina & Stephen J. Carson & Jeremy C. Short & David J. Ketchen, 2013. "Extending the firm vs. industry debate: Does industry life cycle stage matter?," Strategic Management Journal, Wiley Blackwell, vol. 34(8), pages 1010-1018, August.
    9. Jehoshua Eliashberg & Anita Elberse & Mark A.A.M. Leenders, 2006. "The Motion Picture Industry: Critical Issues in Practice, Current Research, and New Research Directions," Marketing Science, INFORMS, vol. 25(6), pages 638-661, 11-12.
    10. Karniouchina, Ekaterina V., 2011. "Impact of star and movie buzz on motion picture distribution and box office revenue," International Journal of Research in Marketing, Elsevier, vol. 28(1), pages 62-74.
    11. Peter E. Rossi, 2014. "Invited Paper —Even the Rich Can Make Themselves Poor: A Critical Examination of IV Methods in Marketing Applications," Marketing Science, INFORMS, vol. 33(5), pages 655-672, September.
    12. Stan Xiao Li & Royston Greenwood, 2004. "The effect of within‐industry diversification on firm performance: synergy creation, multi‐market contact and market structuration," Strategic Management Journal, Wiley Blackwell, vol. 25(12), pages 1131-1153, December.
    13. James Heckman, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    14. Ramya Neelamegham & Pradeep Chintagunta, 1999. "A Bayesian Model to Forecast New Product Performance in Domestic and International Markets," Marketing Science, INFORMS, vol. 18(2), pages 115-136.
    15. Garen, John, 1984. "The Returns to Schooling: A Selectivity Bias Approach with a Continuous Choice Variable," Econometrica, Econometric Society, vol. 52(5), pages 1199-1218, September.
    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. Tyson B. Mackey & Jay B. Barney & Jeffrey P. Dotson, 2017. "Corporate diversification and the value of individual firms: A Bayesian approach," Strategic Management Journal, Wiley Blackwell, vol. 38(2), pages 322-341, February.
    18. Frank Neffke & Martin Henning, 2013. "Skill relatedness and firm diversification," Strategic Management Journal, Wiley Blackwell, vol. 34(3), pages 297-316, March.
    19. Willig, Robert D, 1979. "Multiproduct Technology and Market Structure," American Economic Review, American Economic Association, vol. 69(2), pages 346-351, May.
    20. Justin J.P. Jansen & Zeki Simsek & Qing Cao, 2012. "Ambidexterity and performance in multiunit contexts: Cross‐level moderating effects of structural and resource attributes," Strategic Management Journal, Wiley Blackwell, vol. 33(11), pages 1286-1303, November.
    21. Birger Wernerfelt, 1984. "A resource‐based view of the firm," Strategic Management Journal, Wiley Blackwell, vol. 5(2), pages 171-180, April.
    22. Tom Cottrell & Barrie R. Nault, 2004. "Product variety and firm survival in the microcomputer software industry," Strategic Management Journal, Wiley Blackwell, vol. 25(10), pages 1005-1025, October.
    23. Cynthia A. Montgomery & Birger Wernerfelt, 1988. "Diversification, Ricardian Rents, and Tobin's q," RAND Journal of Economics, The RAND Corporation, vol. 19(4), pages 623-632, Winter.
    24. Jehoshua Eliashberg & Sam K. Hui & Z. John Zhang, 2007. "From Story Line to Box Office: A New Approach for Green-Lighting Movie Scripts," Management Science, INFORMS, vol. 53(6), pages 881-893, June.
    25. Vikas Mittal & Eugene W. Anderson & Akin Sayrak & Pandu Tadikamalla, 2005. "Dual Emphasis and the Long-Term Financial Impact of Customer Satisfaction," Marketing Science, INFORMS, vol. 24(4), pages 544-555, August.
    26. Jose Manuel Campa & Simi Kedia, 2002. "Explaining the Diversification Discount," Journal of Finance, American Finance Association, vol. 57(4), pages 1731-1762, August.
    27. Mo Chen & Aseem Kaul & Brian Wu, 2019. "Adaptation across multiple landscapes: Relatedness, complexity, and the long run effects of coordination in diversified firms," Strategic Management Journal, Wiley Blackwell, vol. 40(11), pages 1791-1821, November.
    28. Leslie E. Palich & Laura B. Cardinal & C. Chet Miller, 2000. "Curvilinearity in the diversification–performance linkage: an examination of over three decades of research," Strategic Management Journal, Wiley Blackwell, vol. 21(2), pages 155-174, February.
    29. Stephen J. Carson & George John, 2013. "A theoretical and empirical investigation of property rights sharing in outsourced research, development, and engineering relationships," Strategic Management Journal, Wiley Blackwell, vol. 34(9), pages 1065-1085, September.
    30. David J. Bryce & Sidney G. Winter, 2009. "A General Interindustry Relatedness Index," Management Science, INFORMS, vol. 55(9), pages 1570-1585, September.
    31. Tirtha Dhar & Guanghui Sun & Charles Weinberg, 2012. "The long-term box office performance of sequel movies," Marketing Letters, Springer, vol. 23(1), pages 13-29, March.
    32. Michael J. Mannor & Jamal Shamsie & Donald E. Conlon, 2016. "Does experience help or hinder top managers? Working with different types of resources in Hollywood," Strategic Management Journal, Wiley Blackwell, vol. 37(7), pages 1330-1340, July.
    33. 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.
    34. Mary Tripsas, 1997. "Unraveling The Process Of Creative Destruction: Complementary Assets And Incumbent Survival In The Typesetter Industry," Strategic Management Journal, Wiley Blackwell, vol. 18(S1), pages 119-142, July.
    35. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jeffrey J. Reuer & Arkadiy V. Sakhartov, 2021. "Economies of Scope and Optimal Due Diligence in Corporate Acquisitions," Organization Science, INFORMS, vol. 32(4), pages 1100-1119, July.
    2. Adrian Lüthge & Ulrich Pidun & Dodo zu Knyphausen-Aufseß, 2021. "Approximating relatedness from a business model perspective: towards a taxonomic approach," Review of Managerial Science, Springer, vol. 15(3), pages 813-846, April.
    3. Moez Hababou & Nawel Amrouche & Kamel Jedidi, 2016. "Measuring Economic Efficiency in the Motion Picture Industry: a Data Envelopment Analysis Approach," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 3(3), pages 144-158, December.
    4. Bae, Giwoong & Kim, Hye-jin, 2019. "The impact of movie titles on box office success," Journal of Business Research, Elsevier, vol. 103(C), pages 100-109.
    5. Leenders, Mark A.A.M. & Eliashberg, Jehoshua, 2011. "The antecedents and consequences of restrictive age-based ratings in the global motion picture industry," International Journal of Research in Marketing, Elsevier, vol. 28(4), pages 367-377.
    6. Ron Adner & Peter Zemsky, 2016. "Diversification and Performance: Linking Relatedness, Market Structure, and the Decision to Diversify," Strategy Science, INFORMS, vol. 1(1), pages 32-55, March.
    7. Angela (Xia) Liu & Tridib Mazumdar & Bo Li, 2015. "Counterfactual Decomposition of Movie Star Effects with Star Selection," Management Science, INFORMS, vol. 61(7), pages 1704-1721, July.
    8. Ljubownikow, Grigorij & Ang, Siah Hwee, 2020. "Competition, diversification and performance," Journal of Business Research, Elsevier, vol. 112(C), pages 81-94.
    9. Brianna JeeWon Paulich & V. Kumar, 2021. "Relating entertainment features in screenplays to movie performance: an empirical investigation," Journal of the Academy of Marketing Science, Springer, vol. 49(6), pages 1222-1242, November.
    10. Alexa B. Burmester & Michel Clement & Jan U. Becker & Cord Otten, 2025. "Marketing inputs and outcome heterogeneity: Using a quantile regression framework in the entertainment industry," Journal of the Academy of Marketing Science, Springer, vol. 53(1), pages 232-254, January.
    11. Clement, Michel & Wu, Steven & Fischer, Marc, 2014. "Empirical generalizations of demand and supply dynamics for movies," International Journal of Research in Marketing, Elsevier, vol. 31(2), pages 207-223.
    12. Jaeho Choi & Anoop Menon & Haris Tabakovic, 2021. "Using machine learning to revisit the diversification–performance relationship," Strategic Management Journal, Wiley Blackwell, vol. 42(9), pages 1632-1661, September.
    13. Allègre Hadida, 2010. "Commercial success and artistic recognition of motion picture projects," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 34(1), pages 45-80, February.
    14. Adrian Lüthge, 2020. "The concept of relatedness in diversification research: review and synthesis," Review of Managerial Science, Springer, vol. 14(1), pages 1-35, February.
    15. A. Yeşim Orhun & Sriram Venkataraman & Pradeep K. Chintagunta, 2016. "Impact of Competition on Product Decisions: Movie Choices of Exhibitors," Marketing Science, INFORMS, vol. 35(1), pages 73-92, January.
    16. C F Elliott & R Simmons, 2007. "Determinants of UK box office success: the impact of quality signals," Working Papers 584026, Lancaster University Management School, Economics Department.
    17. Joon Mahn Lee & Rahul Kapoor, 2017. "Complementarities and Coordination: Implications for Governance Mode and Performance of Multiproduct Firms," Organization Science, INFORMS, vol. 28(5), pages 931-946, October.
    18. Arkadiy V. Sakhartov, 2017. "Economies of Scope, Resource Relatedness, and the Dynamics of Corporate Diversification," Strategic Management Journal, Wiley Blackwell, vol. 38(11), pages 2168-2188, November.
    19. Kyuhan Lee & Jinsoo Park & Iljoo Kim & Youngseok Choi, 2018. "Predicting movie success with machine learning techniques: ways to improve accuracy," Information Systems Frontiers, Springer, vol. 20(3), pages 577-588, June.
    20. Don M. Chance & Eric Hillebrand & Jimmy E. Hilliard, 2008. "Pricing an Option on Revenue from an Innovation: An Application to Movie Box Office Revenue," Management Science, INFORMS, vol. 54(5), pages 1015-1028, May.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:orstsc:v:8:y:2023:i:1:p:44-61. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.