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Platform Economy and Techno-Regulation—Experimenting with Reputation and Nudge

Author

Listed:
  • Nicola Lettieri

    (National Institute for Public Policy Analysis (INAPP), 00198 Rome, Italy)

  • Alfonso Guarino

    (Department of Computer Science, University of Salerno, 84084 Fisciano, Italy)

  • Delfina Malandrino

    (Department of Computer Science, University of Salerno, 84084 Fisciano, Italy)

  • Rocco Zaccagnino

    (Department of Computer Science, University of Salerno, 84084 Fisciano, Italy)

Abstract

In the cloud-based society, where the vast majority of social, economic and personal interactions is mediated by information communication technology (ICT), technology is no longer simply a subject of regulation but is becoming an integral part of the regulatory process. Techno-regulation, the “intentional influencing of individuals’ behavior by building norms into technological devices,” is inspiring new ways to support legal safeguards through hardware and software tools, technical solutions allowing the creation of legal relations, hampering breaches of law and even promoting norm compliance. This paper touches on these issues by focusing on Digital Labor Platforms , one of the most relevant phenomena in the gig economy. We present a research project exploring innovative techno-regulatory solutions to protect gig economy workers. The idea is to integrate, in the same strategy, legal principles, regulatory objectives and software solutions. Our attention focuses on two results of our activity—a techno-regulatory model relying on reputational mechanisms to affect the behavior of digital labor market operators and GigAdvisor , a cross-platform experimental application implementing the model.

Suggested Citation

  • Nicola Lettieri & Alfonso Guarino & Delfina Malandrino & Rocco Zaccagnino, 2019. "Platform Economy and Techno-Regulation—Experimenting with Reputation and Nudge," Future Internet, MDPI, vol. 11(7), pages 1-17, July.
  • Handle: RePEc:gam:jftint:v:11:y:2019:i:7:p:163-:d:250831
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    References listed on IDEAS

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    1. Axelrod, Robert, 1986. "An Evolutionary Approach to Norms," American Political Science Review, Cambridge University Press, vol. 80(4), pages 1095-1111, December.
    2. Esther Duflo & Emmanuel Saez, 2003. "The Role of Information and Social Interactions in Retirement Plan Decisions: Evidence from a Randomized Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(3), pages 815-842.
    3. Chris Nosko & Steven Tadelis, 2015. "The Limits of Reputation in Platform Markets: An Empirical Analysis and Field Experiment," NBER Working Papers 20830, National Bureau of Economic Research, Inc.
    4. Dellarocas, Chrysanthos, 2003. "The Digitization of Word-of-mouth: Promise and Challenges of Online Feedback Mechanisms," Working papers 4296-03, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    5. Chrysanthos Dellarocas & Charles A. Wood, 2008. "The Sound of Silence in Online Feedback: Estimating Trading Risks in the Presence of Reporting Bias," Management Science, INFORMS, vol. 54(3), pages 460-476, March.
    6. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    7. Chrysanthos Dellarocas, 2003. "The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms," Management Science, INFORMS, vol. 49(10), pages 1407-1424, October.
    8. Bajari, Patrick & Hortacsu, Ali, 2003. "The Winner's Curse, Reserve Prices, and Endogenous Entry: Empirical Insights from eBay Auctions," RAND Journal of Economics, The RAND Corporation, vol. 34(2), pages 329-355, Summer.
    9. Valerio De Stefano & Antonio Aloisi, 2018. "European legal framework for "digital labour platforms"," JRC Research Reports JRC112243, Joint Research Centre.
    10. Yannis Bakos & Chrysanthos Dellarocas, 2011. "Cooperation Without Enforcement? A Comparative Analysis of Litigation and Online Reputation as Quality Assurance Mechanisms," Management Science, INFORMS, vol. 57(11), pages 1944-1962, November.
    Full references (including those not matched with items on IDEAS)

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