IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v244y2016i2d10.1007_s10479-016-2114-7.html
   My bibliography  Save this article

Loyal customer bases as innovation disincentives for duopolistic firms using strategic signaling and Bayesian analysis

Author

Listed:
  • Madjid Tavana

    (La Salle University
    University of Paderborn)

  • Debora Di Caprio

    (York University
    Polo Tecnologico IISS G. Galilei)

  • Francisco J. Santos-Arteaga

    (Free University of Bolzano
    Universidad Complutense de Madrid)

Abstract

In this paper we model the strategic behavior of firms competing in duopolistic environments with a loyal customer base and formalize their decision to delay the introduction of the most technologically developed product available. The proposed model extends and complements the partial approaches studied in the economic, management and operations research literatures. The former emphasizes the role of the strategic knowledge spillovers that may take place among competing firms because of their incentives to introduce technologically superior products while assuming the acceptance of such products by customers as given. The second defines its technology acceptance model based on the demand side of the economic system without considering the resulting strategic interactions that arise among the firms. The latter addresses the effect that signals about a new technology have on the information acquisition behavior of decision makers (DMs) but does not consider the capacity of DMs to account for several product characteristics and their interaction when acquiring information. Using a duopolistic innovation game model we illustrate how the existence of loyal customer bases allows for higher expected payoffs when generating monopolized markets but decreases the incentives of firms to introduce the most technologically developed product available. The signaling equilibria of the game are determined by demand-based factors and the incentives of customers to acquire information on the existing products in the market. Among the main implications of our model is also the fact that the availability of decision support systems that can be used by DMs through their information acquisition processes would improve the quality of the technology being introduced in the market and increase the firms’ probability of success.

Suggested Citation

  • Madjid Tavana & Debora Di Caprio & Francisco J. Santos-Arteaga, 2016. "Loyal customer bases as innovation disincentives for duopolistic firms using strategic signaling and Bayesian analysis," Annals of Operations Research, Springer, vol. 244(2), pages 647-676, September.
    • Handle: RePEc:spr:annopr:v:244:y:2016:i:2:d:10.1007_s10479-016-2114-7
    DOI: 10.1007/s10479-016-2114-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10479-016-2114-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10479-016-2114-7?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Laksana, Kamonkan & Hartman, Joseph C., 2010. "Planning product design refreshes with service contract and competition considerations," International Journal of Production Economics, Elsevier, vol. 126(2), pages 189-203, August.
    2. Zhou, Erfeng & Zhang, Juzhi & Gou, Qinglong & Liang, Liang, 2015. "A two period pricing model for new fashion style launching strategy," International Journal of Production Economics, Elsevier, vol. 160(C), pages 144-156.
    3. Mas-Colell, Andreu & Whinston, Michael D. & Green, Jerry R., 1995. "Microeconomic Theory," OUP Catalogue, Oxford University Press, number 9780195102680, Decembrie.
    4. William J. Baumol, 2013. "The Microtheory of Innovative Entrepreneurship," Journal of Economic Sociology, National Research University Higher School of Economics, vol. 14(3), pages 96-108.
    5. Fred Roberts & Alexis Tsoukiàs, 2008. "Computer science and decision theory: preface," Annals of Operations Research, Springer, vol. 163(1), pages 1-4, October.
    6. Horst Hanusch & Andreas Pyka (ed.), 2007. "Elgar Companion to Neo-Schumpeterian Economics," Books, Edward Elgar Publishing, number 2973.
    7. Su, Meng & Rao, Vithala R., 2011. "Timing decisions of new product preannouncement and launch with competition," International Journal of Production Economics, Elsevier, vol. 129(1), pages 51-64, January.
    8. Franco Malerba & Richard Nelson & Luigi Orsenigo & Sidney Winter, 2007. "Demand, innovation, and the dynamics of market structure: The role of experimental users and diverse preferences," Journal of Evolutionary Economics, Springer, vol. 17(4), pages 371-399, August.
    9. Jonathan D. Bohlmann & Peter N. Golder & Debanjan Mitra, 2002. "Deconstructing the Pioneer's Advantage: Examining Vintage Effects and Consumer Valuations of Quality and Variety," Management Science, INFORMS, vol. 48(9), pages 1175-1195, September.
    10. Berrin Aytac & S. Wu, 2013. "Characterization of demand for short life-cycle technology products," Annals of Operations Research, Springer, vol. 203(1), pages 255-277, March.
    11. Ying Liu & Hong Li & Geng Peng & Benfu Lv & Chong Zhang, 2015. "Online purchaser segmentation and promotion strategy selection: evidence from Chinese E-commerce market," Annals of Operations Research, Springer, vol. 233(1), pages 263-279, October.
    12. Kevin B. Hendricks & Vinod R. Singhal, 2008. "The Effect of Product Introduction Delays on Operating Performance," Management Science, INFORMS, vol. 54(5), pages 878-892, May.
    13. Mittal, Banwari & Lee, Myung-Soo, 1989. "A causal model of consumer involvement," Journal of Economic Psychology, Elsevier, vol. 10(3), pages 363-389, November.
    14. Neda Abdolvand & Amir Albadvi & Mohammad Aghdasi, 2015. "Performance management using a value-based customer-centered model," International Journal of Production Research, Taylor & Francis Journals, vol. 53(18), pages 5472-5483, September.
    15. Arda Yenipazarli, 2015. "A road map to new product success: warranty, advertisement and price," Annals of Operations Research, Springer, vol. 226(1), pages 669-694, March.
    16. Fred Roberts, 2008. "Computer science and decision theory," Annals of Operations Research, Springer, vol. 163(1), pages 209-253, October.
    17. Li, Ying & Jin, Yanhong H., 2009. "Racing to market leadership: Product launch and upgrade decisions," International Journal of Production Economics, Elsevier, vol. 119(2), pages 284-297, June.
    18. Premkumar, G. & Bhattacherjee, Anol, 2008. "Explaining information technology usage: A test of competing models," Omega, Elsevier, vol. 36(1), pages 64-75, February.
    19. Philip H. Hartung & James L. Fisher, 1965. "Brand Switching and Mathematical Programming in Market Expansion," Management Science, INFORMS, vol. 11(10), pages 231-243, August.
    20. James E. Smith & Canan Ulu, 2012. "Technology Adoption with Uncertain Future Costs and Quality," Operations Research, INFORMS, vol. 60(2), pages 262-274, April.
    21. Belk, Russell W & Ger, Guliz & Askegaard, Soren, 2003. "The Fire of Desire: A Multisited Inquiry into Consumer Passion," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(3), pages 326-351, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Du, Shaofu & Wang, Li & Hu, Li, 2019. "Omnichannel management with consumer disappointment aversion," International Journal of Production Economics, Elsevier, vol. 215(C), pages 84-101.

    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. Francisco J. Santos-Arteaga & Debora Di Caprio & Madjid Tavana & Aidan O'Connor, 2017. "Formalising The Demand For Technological Innovations: Rational Herds, Market Frictions And Network Effects," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(02), pages 1-43, February.
    2. Bazhal, Iurii, 2014. "Industrial policy under Neo-Schumpeterian concept of structural technological dynamics: Case of Ukraine," MPRA Paper 67434, University Library of Munich, Germany, revised 24 Oct 2015.
    3. Sheida Etemadidavan & Andrew J. Collins, 2021. "An Empirical Distribution of the Number of Subsets in the Core Partitions of Hedonic Games," SN Operations Research Forum, Springer, vol. 2(4), pages 1-20, December.
    4. Richárd Kicsiny & Zoltán Varga, 2023. "New algorithm for checking Pareto optimality in bimatrix games," Annals of Operations Research, Springer, vol. 320(1), pages 235-259, January.
    5. Carlos M. Fernández-Márquez & Matías Fuentes & Juan José Martínez & Francisco J. Vázquez, 2021. "Productivity and unemployment: an ABM approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 133-151, January.
    6. Osório, António (António Miguel) & Pinto, Alberto Adrego, 2019. "Information, uncertainty and the manipulability of artifcial intelligence autonomous vehicles systems," Working Papers 2072/376028, Universitat Rovira i Virgili, Department of Economics.
    7. Carlos M. Fernández-Márquez & Francisco Fatas-Villafranca & Francisco J. Vázquez, 2017. "A computational consumer-driven market model: statistical properties and the underlying industry dynamics," Computational and Mathematical Organization Theory, Springer, vol. 23(3), pages 319-346, September.
    8. Shuihua Han & Yufang Fu & Bin Cao & Zongwei Luo, 2018. "Pricing and bargaining strategy of e-retail under hybrid operational patterns," Annals of Operations Research, Springer, vol. 270(1), pages 179-200, November.
    9. Malerba, Franco & Nelson, Richard & Orsenigo, Luigi & Winter, Sidney, 2008. "Public policies and changing boundaries of firms in a "history-friendly" model of the co-evolution of the computer and semiconductor industries," Journal of Economic Behavior & Organization, Elsevier, vol. 67(2), pages 355-380, August.
    10. Dosi, Giovanni & Nelson, Richard R., 2010. "Technical Change and Industrial Dynamics as Evolutionary Processes," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 51-127, Elsevier.
    11. Daniel A Newark, 2020. "Desire and pleasure in choice," Rationality and Society, , vol. 32(2), pages 168-196, May.
    12. Antonelli Cristiano & Gehringer Agnieszka, 2013. "Demand pull and technological flows within innovation systems: the intra-European evidence," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201303, University of Turin.
    13. Lipieta Agnieszka, 2018. "The role of imitative mechanisms within the economic evolution," Economics and Business Review, Sciendo, vol. 4(4), pages 64-82, November.
    14. Barış Bülent Kırlar & Serap Ergün & Sırma Zeynep Alparslan Gök & Gerhard-Wilhelm Weber, 2018. "A game-theoretical and cryptographical approach to crypto-cloud computing and its economical and financial aspects," Annals of Operations Research, Springer, vol. 260(1), pages 217-231, January.
    15. Agnieszka Lipieta & Andrzej Malawski, 2016. "Price versus quality competition: in search for Schumpeterian evolution mechanisms," Journal of Evolutionary Economics, Springer, vol. 26(5), pages 1137-1171, December.
    16. Carlos M. Fernández-Márquez & Francisco Fatás-Villafranca & Francisco J. Vázquez, 2017. "Endogenous Demand and Demanding Consumers: A Computational Approach," Computational Economics, Springer;Society for Computational Economics, vol. 49(2), pages 307-323, February.
    17. Ghobadi, Somayeh Najafi- & Bagherinejad, Jafar & Taleizadeh, Ata Allah, 2021. "A two-generation new product model by considering forward-looking customers: Dynamic pricing and advertising optimization," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    18. Francisco Santos-Arteaga & Debora Di Caprio & Madjid Tavana, 2014. "A Self-regulating Information Acquisition Algorithm for Preventing Choice Regret in Multi-perspective Decision Making," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 6(3), pages 165-175, June.
    19. César Alfaro & Javier Cano-Montero & Javier Gómez & Javier M. Moguerza & Felipe Ortega, 2016. "A multi-stage method for content classification and opinion mining on weblog comments," Annals of Operations Research, Springer, vol. 236(1), pages 197-213, January.
    20. César Alfaro & Javier Cano-Montero & Javier Gómez & Javier Moguerza & Felipe Ortega, 2016. "A multi-stage method for content classification and opinion mining on weblog comments," Annals of Operations Research, Springer, vol. 236(1), pages 197-213, January.

    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:spr:annopr:v:244:y:2016:i:2:d:10.1007_s10479-016-2114-7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.