IDEAS home Printed from https://ideas.repec.org/a/spr/joamsc/v47y2019i3d10.1007_s11747-019-00631-3.html
   My bibliography  Save this article

The impact of superstar and non-superstar software on hardware sales: the moderating role of hardware lifecycle

Author

Listed:
  • Richard T. Gretz

    (The University of Texas at San Antonio One UTSA Circle)

  • Ashwin Malshe

    (The University of Texas at San Antonio One UTSA Circle)

  • Carlos Bauer

    (The University of Alabama)

  • Suman Basuroy

    (The University of Texas at San Antonio One UTSA Circle)

Abstract

In the context of two-sided markets, we propose hardware lifecycle as a key moderator of the impact of superstar and non-superstar software on hardware adoption. A hardware’s earlier adopters are less price sensitive and have a higher preference for exciting and challenging software. In contrast, later adopters are more price sensitive and prefer simplicity in software. Superstar software tend to be more expensive and more complex compared to non-superstars. Therefore, earlier (later) adopters prefer superstars (non-superstars), which leads to higher impact of superstars (non-superstars) on hardware adoption in the early (later) stages of the hardware lifecycle. Using monthly data over a 12-year timeframe (1995–2007) from the home video game industry, we find that both superstar and non-superstar software impact hardware demand, but they matter at different points in the hardware lifecycle. Superstars are most influential when hardware is new, and this influence declines as hardware ages. In contrast, non-superstar software has a positive impact on hardware demand later in the hardware lifecycle, and this impact increases with hardware age. Findings reveal that eventually the amount of available non-superstar software impacts hardware adoption more than the amount of available superstar software. We provide several managerial implications based on these findings.

Suggested Citation

  • Richard T. Gretz & Ashwin Malshe & Carlos Bauer & Suman Basuroy, 2019. "The impact of superstar and non-superstar software on hardware sales: the moderating role of hardware lifecycle," Journal of the Academy of Marketing Science, Springer, vol. 47(3), pages 394-416, May.
    • Handle: RePEc:spr:joamsc:v:47:y:2019:i:3:d:10.1007_s11747-019-00631-3
    DOI: 10.1007/s11747-019-00631-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11747-019-00631-3
    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/s11747-019-00631-3?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. Whitney K. Newey & Kenneth D. West, 1994. "Automatic Lag Selection in Covariance Matrix Estimation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(4), pages 631-653.
    2. Gretz, Richard T., 2010. "Hardware quality vs. network size in the home video game industry," Journal of Economic Behavior & Organization, Elsevier, vol. 76(2), pages 168-183, November.
    3. Marc Rysman, 2009. "The Economics of Two-Sided Markets," Journal of Economic Perspectives, American Economic Association, vol. 23(3), pages 125-143, Summer.
    4. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    5. Marchand, André, 2016. "The power of an installed base to combat lifecycle decline: The case of video games," International Journal of Research in Marketing, Elsevier, vol. 33(1), pages 140-154.
    6. Julian Hofmann & Michel Clément & Franziska Völckner & Thorsten Hennig-Thurau, 2017. "Empirical Generalizations on the Impact of Stars on the Economic Success of Movies," Post-Print hal-01991308, HAL.
    7. Gretz, Richard T. & Basuroy, Suman, 2013. "Why Quality May Not Always Win: The Impact of Product Generation Life Cycles on Quality and Network Effects in High-tech Markets," Journal of Retailing, Elsevier, vol. 89(3), pages 281-300.
    8. Hagiu, Andrei & Wright, Julian, 2015. "Multi-sided platforms," International Journal of Industrial Organization, Elsevier, vol. 43(C), pages 162-174.
    9. Binken, J.L.G. & Stremersch, S., 2008. "The Effect of Superstar Software on Hardware Sales in System Markets," ERIM Report Series Research in Management ERS-2008-025-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    10. Rodolphe Durand & Robert M. Grant & Tammy L. Madsen & David P. McIntyre & Arati Srinivasan, 2017. "Networks, platforms, and strategy: Emerging views and next steps," Strategic Management Journal, Wiley Blackwell, vol. 38(1), pages 141-160, January.
    11. Hofmann, Julian & Clement, Michel & Völckner, Franziska & Hennig-Thurau, Thorsten, 2017. "Empirical generalizations on the impact of stars on the economic success of movies," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 442-461.
    12. James H. Stock & Motohiro Yogo, 2002. "Testing for Weak Instruments in Linear IV Regression," NBER Technical Working Papers 0284, National Bureau of Economic Research, Inc.
    13. Steiner, Michael & Wiegand, Nico & Eggert, Andreas & Backhaus, Klaus, 2016. "Platform adoption in system markets: The roles of preference heterogeneity and consumer expectations," International Journal of Research in Marketing, Elsevier, vol. 33(2), pages 276-296.
    14. Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-529, October.
    15. Rabik Ar Chatterjee & Jehoshua Eliashberg, 1990. "The Innovation Diffusion Process in a Heterogeneous Population: A Micromodeling Approach," Management Science, INFORMS, vol. 36(9), pages 1057-1079, September.
    16. Kim, Jin-Hyuk & Prince, Jeffrey & Qiu, Calvin, 2014. "Indirect network effects and the quality dimension: A look at the gaming industry," International Journal of Industrial Organization, Elsevier, vol. 37(C), pages 99-108.
    17. Joe Cox, 2014. "What Makes a Blockbuster Video Game? An Empirical Analysis of US Sales Data," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 35(3), pages 189-198, April.
    18. Venkatesh Shankar & Barry L. Bayus, 2003. "Network effects and competition: an empirical analysis of the home video game industry," Strategic Management Journal, Wiley Blackwell, vol. 24(4), pages 375-384, April.
    19. Harikesh Nair & Pradeep Chintagunta & Jean-Pierre Dubé, 2004. "Empirical Analysis of Indirect Network Effects in the Market for Personal Digital Assistants," Quantitative Marketing and Economics (QME), Springer, vol. 2(1), pages 23-58, March.
    20. Clements, Matthew T., 2004. "Direct and indirect network effects: are they equivalent?," International Journal of Industrial Organization, Elsevier, vol. 22(5), pages 633-645, May.
    21. Jean-Pierre H. Dubé & Günter J. Hitsch & Pradeep K. Chintagunta, 2010. "Tipping and Concentration in Markets with Indirect Network Effects," Marketing Science, INFORMS, vol. 29(2), pages 216-249, 03-04.
    22. Shih, Eric & Schau, Hope Jensen, 2011. "To Justify or Not to Justify: The Role of Anticipated Regret on Consumers’ Decisions to Upgrade Technological Innovations," Journal of Retailing, Elsevier, vol. 87(2), pages 242-251.
    23. Steven T. Berry, 1994. "Estimating Discrete-Choice Models of Product Differentiation," RAND Journal of Economics, The RAND Corporation, vol. 25(2), pages 242-262, Summer.
    24. Tobias Kretschmer & Jörg Claussen, 2016. "Generational Transitions in Platform Markets—The Role of Backward Compatibility," Strategy Science, INFORMS, vol. 1(2), pages 90-104, June.
    25. Michael L. Katz & Carl Shapiro, 1994. "Systems Competition and Network Effects," Journal of Economic Perspectives, American Economic Association, vol. 8(2), pages 93-115, Spring.
    26. Neil Gandal & Michael Kende & Rafael Rob, 2000. "The Dynamics of Technological Adoption in Hardware/Software Systems: The Case of Compact Disc Players," RAND Journal of Economics, The RAND Corporation, vol. 31(1), pages 43-61, Spring.
    27. Sun, Li & Rajiv, Surendra & Chu, Junhong, 2016. "Beyond the more the merrier: The variety effect and consumer heterogeneity in system markets," International Journal of Research in Marketing, Elsevier, vol. 33(2), pages 261-275.
    28. Jahanmir, Sara F. & Lages, Luis Filipe, 2016. "The late-adopter scale: A measure of late adopters of technological innovations," Journal of Business Research, Elsevier, vol. 69(5), pages 1701-1706.
    29. Joost Rietveld & J. P. Eggers, 2018. "Demand Heterogeneity in Platform Markets: Implications for Complementors," Organization Science, INFORMS, vol. 29(2), pages 304-322, April.
    30. Robin S. Lee, 2013. "Vertical Integration and Exclusivity in Platform and Two-Sided Markets," American Economic Review, American Economic Association, vol. 103(7), pages 2960-3000, December.
    31. 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.
    32. Peter N. Golder & Gerard J. Tellis, 2004. "Growing, Growing, Gone: Cascades, Diffusion, and Turning Points in the Product Life Cycle," Marketing Science, INFORMS, vol. 23(2), pages 207-218, December.
    33. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
    34. Ai, Chunrong & Norton, Edward C., 2003. "Interaction terms in logit and probit models," Economics Letters, Elsevier, vol. 80(1), pages 123-129, July.
    35. Zeelenberg, M., 1999. "Anticipated regret, expected feedback and behavioral decision-making," Other publications TiSEM 38371d1b-31fd-45b0-860f-b, Tilburg University, School of Economics and Management.
    36. Stremersch, S. & Tellis, G.J. & Franses, Ph.H.B.F. & Binken, J.L.G., 2007. "Indirect Network Effects in New Product Growth," ERIM Report Series Research in Management ERS-2007-019-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    37. Chase Gooding & E. Frank Stephenson, 2017. "Superstars, Uncertainty of Outcome, and PGA Tour Television Ratings," Journal of Sports Economics, , vol. 18(8), pages 867-875, December.
    38. David Dranove & Neil Gandal, 2003. "The Dvd‐vs.‐Divx Standard War: Empirical Evidence of Network Effects and Preannouncement Effects," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 12(3), pages 363-386, September.
    39. Corts, Kenneth S. & Lederman, Mara, 2009. "Software exclusivity and the scope of indirect network effects in the U.S. home video game market," International Journal of Industrial Organization, Elsevier, vol. 27(2), pages 121-136, March.
    40. Rosen, Sherwin, 1981. "The Economics of Superstars," American Economic Review, American Economic Association, vol. 71(5), pages 845-858, December.
    41. Greg Allenby & Geraldine Fennell & Joel Huber & Thomas Eagle & Tim Gilbride & Dan Horsky & Jaehwan Kim & Peter Lenk & Rich Johnson & Elie Ofek & Bryan Orme & Thomas Otter & Joan Walker, 2005. "Adjusting Choice Models to Better Predict Market Behavior," Marketing Letters, Springer, vol. 16(3), pages 197-208, December.
    42. Marchand, André & Hennig-Thurau, Thorsten, 2013. "Value Creation in the Video Game Industry: Industry Economics, Consumer Benefits, and Research Opportunities," Journal of Interactive Marketing, Elsevier, vol. 27(3), pages 141-157.
    43. Hausman, Jerry A & Leonard, Gregory K, 1997. "Superstars in the National Basketball Association: Economic Value and Policy," Journal of Labor Economics, University of Chicago Press, vol. 15(4), pages 586-624, October.
    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. Joost Rietveld & Joe N. Ploog, 2022. "On top of the game? The double‐edged sword of incorporating social features into freemium products," Strategic Management Journal, Wiley Blackwell, vol. 43(6), pages 1182-1207, June.
    2. Nico Wiegand & Yuri Peers & Alexander Bleier, 2023. "Software multihoming to distal markets: Evidence of cannibalization and complementarity in the video game console industry," Journal of the Academy of Marketing Science, Springer, vol. 51(2), pages 393-417, March.
    3. Abhishek Borah & Francesca Bonetti & Angelito Calma & José Martí-Parreño, 2023. "The Journal of the Academy of Marketing Science at 50: A historical analysis," Journal of the Academy of Marketing Science, Springer, vol. 51(1), pages 222-243, January.

    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. Garcia-Swartz, Daniel D. & Garcia-Vicente, Florencia, 2015. "Network effects on the iPhone platform: An empirical examination," Telecommunications Policy, Elsevier, vol. 39(10), pages 877-895.
    2. Peters, Frank, 2018. "The business of video games is a multi-player game : Essays on governance choices and performance in a two-sided market in the cultural industries," Other publications TiSEM 886b3148-4bbb-4ea4-b666-0, Tilburg University, School of Economics and Management.
    3. Steiner, Michael & Wiegand, Nico & Eggert, Andreas & Backhaus, Klaus, 2016. "Platform adoption in system markets: The roles of preference heterogeneity and consumer expectations," International Journal of Research in Marketing, Elsevier, vol. 33(2), pages 276-296.
    4. Kim, Jin-Hyuk & Prince, Jeffrey & Qiu, Calvin, 2014. "Indirect network effects and the quality dimension: A look at the gaming industry," International Journal of Industrial Organization, Elsevier, vol. 37(C), pages 99-108.
    5. Gretz, Richard T. & Basuroy, Suman, 2013. "Why Quality May Not Always Win: The Impact of Product Generation Life Cycles on Quality and Network Effects in High-tech Markets," Journal of Retailing, Elsevier, vol. 89(3), pages 281-300.
    6. Rietveld, G.J. & Eggers, J.P., 2016. "Demand Heterogeneity and the Adoption of Platform Complements," ERIM Report Series Research in Management ERS-2016-003-STR, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    7. Joost Rietveld & Joe N. Ploog, 2022. "On top of the game? The double‐edged sword of incorporating social features into freemium products," Strategic Management Journal, Wiley Blackwell, vol. 43(6), pages 1182-1207, June.
    8. Nico Wiegand & Yuri Peers & Alexander Bleier, 2023. "Software multihoming to distal markets: Evidence of cannibalization and complementarity in the video game console industry," Journal of the Academy of Marketing Science, Springer, vol. 51(2), pages 393-417, March.
    9. Claussen, Jörg & Kretschmer, Tobias & Spengler, Thomas, 2010. "Market leadership through technology – Backward compatibility in the U.S. Handheld Video Game Industry," Discussion Papers in Business Administration 12716, University of Munich, Munich School of Management.
    10. Jullien, Bruno & Pavan, Alessandro & Rysman, Marc, 2021. "Two-sided Markets, Pricing, and Network Effects," TSE Working Papers 21-1238, Toulouse School of Economics (TSE).
    11. Marchand, André & Hennig-Thurau, Thorsten, 2013. "Value Creation in the Video Game Industry: Industry Economics, Consumer Benefits, and Research Opportunities," Journal of Interactive Marketing, Elsevier, vol. 27(3), pages 141-157.
    12. Marchand, André, 2016. "The power of an installed base to combat lifecycle decline: The case of video games," International Journal of Research in Marketing, Elsevier, vol. 33(1), pages 140-154.
    13. Scott K. Shriver, 2015. "Network Effects in Alternative Fuel Adoption: Empirical Analysis of the Market for Ethanol," Marketing Science, INFORMS, vol. 34(1), pages 78-97, January.
    14. Yuki Inoue, 2019. "Winner-Takes-All or Co-Evolution among Platform Ecosystems: A Look at the Competitive and Symbiotic Actions of Complementors," Sustainability, MDPI, vol. 11(3), pages 1-25, January.
    15. Claussen, Jörg & Kretschmer, Tobias & Spengler, Thomas, 2010. "Backward Compatibility to Sustain Market Dominance – Evidence from the US Handheld Video Game Industry," Discussion Papers in Business Administration 11499, University of Munich, Munich School of Management.
    16. Kevin J. Boudreau & Lars B. Jeppesen, 2015. "Unpaid crowd complementors: The platform network effect mirage," Strategic Management Journal, Wiley Blackwell, vol. 36(12), pages 1761-1777, December.
    17. Pinar Karaca-Mandic, 2011. "Role of complementarities in technology adoption: The case of DVD players," Quantitative Marketing and Economics (QME), Springer, vol. 9(2), pages 179-210, June.
    18. Rodolphe Durand & Robert M. Grant & Tammy L. Madsen & David P. McIntyre & Arati Srinivasan, 2017. "Networks, platforms, and strategy: Emerging views and next steps," Strategic Management Journal, Wiley Blackwell, vol. 38(1), pages 141-160, January.
    19. Belleflamme,Paul & Peitz,Martin, 2015. "Industrial Organization," Cambridge Books, Cambridge University Press, number 9781107687899, January.
    20. Joost Rietveld & J. P. Eggers, 2018. "Demand Heterogeneity in Platform Markets: Implications for Complementors," Organization Science, INFORMS, vol. 29(2), pages 304-322, April.

    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:joamsc:v:47:y:2019:i:3:d:10.1007_s11747-019-00631-3. 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.