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Labor of Love : Amateurs and Lay-Expertise Legitimation in the Early U.S. Radio Field

Author

Listed:
  • Gregoire Croidieu

    (EESC-GEM Grenoble Ecole de Management)

  • Phillip H. Kim

    (Babson College - Babson College)

Abstract

Many actors claim to be experts of specialized knowledge, but for this expertise to be perceived as legitimate, other actors in the field must recognize them as authorities. Using an automated topic-model analysis of historical texts associated with the U.S. amateur radio operator movement between 1899 and 1927, we propose a process model for lay-expertise legitimation as an alternative to professionalization. While the professionalization account depends on specialized work, credentialing, and restrictive jurisdictional control by powerful field actors, our model emphasizes four mechanisms leading to lay-expert recognition: building an advanced collective competence, operating in an unrestricted public space, providing transformational social contributions, and expanding an original collective role identity. Our analysis shows how field expertise can be achieved outside of professional spaces by non-professionalized actors who master activities as a labor of love. Our work also reveals that lay-expertise recognition depends on the interplay between collective identities and collective competence among non-professional actors, and it addresses the shifting power dynamics when professional and non-professional actors coexist and strive for expertise recognition.

Suggested Citation

  • Gregoire Croidieu & Phillip H. Kim, 2018. "Labor of Love : Amateurs and Lay-Expertise Legitimation in the Early U.S. Radio Field," Post-Print hal-02312377, HAL.
  • Handle: RePEc:hal:journl:hal-02312377
    DOI: 10.1177/0001839216686531
    as

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    Citations

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    Cited by:

    1. Giada Baldessarelli & Nathalie Lazaric & Michele Pezzoni, 2022. "Organizational routines: Evolution in the research landscape of two core communities," Post-Print halshs-03718851, HAL.
    2. Browder, Russell E. & Aldrich, Howard E. & Bradley, Steven W., 2019. "The emergence of the maker movement: Implications for entrepreneurship research," Journal of Business Venturing, Elsevier, vol. 34(3), pages 459-476.
    3. Pratima (Tima) Bansal & Jury Gualandris & Nahyun Kim, 2020. "Theorizing Supply Chains with Qualitative Big Data and Topic Modeling," Journal of Supply Chain Management, Institute for Supply Management, vol. 56(2), pages 7-18, April.
    4. Kim, Phillip H. & Kotha, Reddi & Fourné, Sebastian P.L. & Coussement, Kristof, 2019. "Taking leaps of faith: Evaluation criteria and resource commitments for early-stage inventions," Research Policy, Elsevier, vol. 48(6), pages 1429-1444.
    5. Keyvan Vakili & Sarah Kaplan, 2021. "Organizing for innovation: A contingency view on innovative team configuration," Strategic Management Journal, Wiley Blackwell, vol. 42(6), pages 1159-1183, June.
    6. Giada Baldessarelli & Nathalie Lazaric & Michele Pezzoni, 2022. "Organizational routines: Evolution in the research landscape of two core communities," Journal of Evolutionary Economics, Springer, vol. 32(4), pages 1119-1154, September.
    7. Bustamante, Pedro & Gomez, Marcela & Lehr, William & Murtazashvili, Ilia & Palida, Ali & Weiss, Martin BH., 2023. "Examining the US amateur-radio community through a polycentricity lens," Telecommunications Policy, Elsevier, vol. 47(10).
    8. Corbo, Leonardo & Corrado, Raffaele & Ferriani, Simone, 2024. "Network pathways of peripheral firm entry: Empirical evidence from the global airline industry," Research Policy, Elsevier, vol. 53(4).
    9. Lucas, David S. & Fuller, Caleb S. & Packard, Mark D., 2022. "Made to be broken? A theory of regulatory governance and rule-breaking entrepreneurial action," Journal of Business Venturing, Elsevier, vol. 37(6).
    10. Liu, Jialing & Wei, Jiang & Liu, Yang & Jin, Duo, 2022. "How to channel knowledge coproduction behavior in an online community: Combining machine learning and narrative analysis," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    11. Hannigan, Timothy R. & Briggs, Anthony R. & Valadao, Rodrigo & Seidel, Marc-David L. & Jennings, P. Devereaux, 2022. "A new tool for policymakers: Mapping cultural possibilities in an emerging AI entrepreneurial ecosystem," Research Policy, Elsevier, vol. 51(9).

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