IDEAS home Printed from https://ideas.repec.org/a/taf/ecinnt/v4y1996i2p113-122.html
   My bibliography  Save this article

Bandwagon Influences And Installed-Base Conversion In U.S. Telecommunications

Author

Listed:
  • Sumit Majumdar

Abstract

The idea that firms are subject to bandwagon or imitation influences occupies a key position as an explanatory variable in the literature on technology adoption and diffusion. This study examines whether bandwagon influences help to explain differences in the patterns of conversion to a new technology, electronic switching, across firms in the U.S. telecommunications industry. The sample analyzed consists of 40 of the largest firms in the local operating sector of the industry, and firm-level data collected for the years 1973, 1978, 1981, 1984, and 1987 are used to undertake the analysis. The results strongly support the bandwagon hypothesis as a key influence on firm's technology adoption or conversion decisions.

Suggested Citation

  • Sumit Majumdar, 1996. "Bandwagon Influences And Installed-Base Conversion In U.S. Telecommunications," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 4(2), pages 113-122.
    • Handle: RePEc:taf:ecinnt:v:4:y:1996:i:2:p:113-122
    DOI: 10.1080/10438599600000003
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/10438599600000003
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/10438599600000003?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. Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(3), pages 577-598.
    2. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    3. Vijay Mahajan & Subhash Sharma & Richard A. Bettis, 1988. "The Adoption of the M-Form Organizational Structure: A Test of Imitation Hypothesis," Management Science, INFORMS, vol. 34(10), pages 1188-1201, October.
    4. Trauth, Eileen M. & Trauth, Denise M. & Huffman, John L., 1983. "Impact of deregulation on marketplace diversity in the USA," Telecommunications Policy, Elsevier, vol. 7(2), pages 111-120, June.
    5. Davies, Stephen W., 1979. "Inter-firm diffusion of process innovations," European Economic Review, Elsevier, vol. 12(4), pages 299-317, October.
    6. Zeckhauser, Richard & Thompson, Mark, 1970. "Linear Regression with Non-Normal Error Terms," The Review of Economics and Statistics, MIT Press, vol. 52(3), pages 280-286, August.
    7. Majumdar, Sumit K. & Venkataraman, S., 1993. "New technology adoption in US telecommunications: The role of competitive pressures and firm-level inducements," Research Policy, Elsevier, vol. 22(5-6), pages 521-536, November.
    8. Katz, Michael L & Shapiro, Carl, 1985. "Network Externalities, Competition, and Compatibility," American Economic Review, American Economic Association, vol. 75(3), pages 424-440, June.
    9. Levin, Sharon G & Levin, Stanford L & Meisel, John B, 1987. "A Dynamic Analysis of the Adoption of a New Technology: The Case of Optical Scanners," The Review of Economics and Statistics, MIT Press, vol. 69(1), pages 12-17, February.
    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. Geroski, P. A., 2000. "Models of technology diffusion," Research Policy, Elsevier, vol. 29(4-5), pages 603-625, April.
    2. Rachel BOCQUET (IREGE, IUT-University of Savoie) & Olivier BROSSARD (LEREPS-GRES), 2006. "Information Technologies (IT) Adoption and Localized Knowledge Diffusion: an Empirical Study," Cahiers du GRES (2002-2009) 2006-17, Groupement de Recherches Economiques et Sociales.
    3. Rui Baptista, 1999. "The Diffusion of Process Innovations: A Selective Review," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 6(1), pages 107-129.
    4. Bita Hajihashemi & Amin Sayedi & Jeffrey D. Shulman, 2022. "The Perils of Personalized Pricing with Network Effects," Marketing Science, INFORMS, vol. 41(3), pages 477-500, May.
    5. Burton, Michael P. & Rigby, Dan & Young, Trevor, 2003. "Modelling the adoption of organic horticultural technology in the UK using Duration Analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 47(1), pages 1-26, March.
    6. Parhi, Mamata, 2005. "Diffusion of New Technology in Indian Auto Component Industry: An Examination of the Determinants of Adoption," UNU-INTECH Discussion Paper Series 2005-08, United Nations University - INTECH.
    7. Namwoon Kim & Jin K. Han & Rajendra K. Srivastava, 2002. "A Dynamic IT Adoption Model for the SOHO Market: PC Generational Decisions with Technological Expectations," Management Science, INFORMS, vol. 48(2), pages 222-240, February.
    8. Ascani, Andrea & Bettarelli, Luca & Resmini, Laura & Balland, Pierre-Alexandre, 2020. "Global networks, local specialisation and regional patterns of innovation," Research Policy, Elsevier, vol. 49(8).
    9. Fabrizio, Kira R. & Hawn, Olga, 2013. "Enabling diffusion: How complementary inputs moderate the response to environmental policy," Research Policy, Elsevier, vol. 42(5), pages 1099-1111.
    10. Weiss, Avi & Etziony, Amir, 2015. "The role of critical mass in establishing a successful network market: An experimental investigationAuthor-Name: Ruffle, Bradley J," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 58(C), pages 101-110.
    11. Robert J. Kauffman & James McAndrews & Yu-Ming Wang, 2000. "Opening the “Black Box” of Network Externalities in Network Adoption," Information Systems Research, INFORMS, vol. 11(1), pages 61-82, March.
    12. Zeckhauser Richard, 2006. "Investing in the Unknown and Unknowable," Capitalism and Society, De Gruyter, vol. 1(2), pages 1-41, September.
    13. Dongyu Chen & Xiaolin Li & Fujun Lai, 2023. "Shill bidding in lenders’ eyes? A cross-country study on the influence of large bids in online P2P lending," Electronic Commerce Research, Springer, vol. 23(2), pages 1089-1114, June.
    14. Vitor Trindade & Johannes Moenius, 2007. "Networks, Standards and Intellectual Property Rights," Working Papers 0705, Department of Economics, University of Missouri.
    15. Necati Tereyağoğlu & Peter S. Fader & Senthil Veeraraghavan, 2018. "Multiattribute Loss Aversion and Reference Dependence: Evidence from the Performing Arts Industry," Management Science, INFORMS, vol. 64(1), pages 421-436, January.
    16. Malmi, Teemu, 1999. "Activity-based costing diffusion across organizations: an exploratory empirical analysis of Finnish firms," Accounting, Organizations and Society, Elsevier, vol. 24(8), pages 649-672, November.
    17. Oesterreich, Thuy Duong & Teuteberg, Frank, 2019. "Behind the scenes: Understanding the socio-technical barriers to BIM adoption through the theoretical lens of information systems research," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 413-431.
    18. Francois Collet & Déborah Philippe, 2014. "From Hot Cakes to Cold Feet: A Contingent Perspective on the Relationship between Market Uncertainty and Status Homophily in the Formation of Alliances," Journal of Management Studies, Wiley Blackwell, vol. 51(3), pages 406-432, May.
    19. Zheyin (Jane) Gu & Xinxin Li, 2023. "Social Sharing, Public Perception, and Brand Competition in a Horizontally Differentiated Market," Information Systems Research, INFORMS, vol. 34(2), pages 553-569, June.
    20. van Dijk, Michiel & Szirmai, Adam, 2006. "Industrial Policy and Technology Diffusion: Evidence from Paper Making Machinery in Indonesia," World Development, Elsevier, vol. 34(12), pages 2137-2152, December.

    More about this item

    Keywords

    Imitation; technology adoption; telecommunications J.E.L. Codes: 033; L96;
    All these keywords.

    JEL classification:

    • L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications

    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:taf:ecinnt:v:4:y:1996:i:2:p:113-122. 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 Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/GEIN20 .

    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.