Making Decisions in Collaborative Consumption: Digital Trust and Reputation Systems in the Sharing Economy.

Author:Popescu, Gheorghe H.
 
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  1. Introduction

    Sharing platforms disclose personal reputation standards, e.g. sellers' identification information and qualifications with reference to functions they accomplish. The effectiveness of commodities in sharing economy marketplaces is considerably shaped by the personal reliability of the supplier. (Abrate and Viglia, 2019) Sharing economy platforms frequently employ reputation systems to purposefully carry out a supervisory role, by keeping out from access to the platform individuals having ratings below a certain level. (Basili and Rossi, 2019)

  2. Conceptual Framework and Literature Review

    Adherence to the platform's behavioral guidelines can be reinforced by associating income to accomplishment (Balcerzak et al., 2018; Mihaila, 2017; Mircica, 2018; Ohanyan and Androniceanu, 2017; Popescu et al., 2018), by maximizing the opportunity expense of setting up the establishment of reputation, and by altering suppliers' perception of the extent of the cost. (Basili and Rossi, 2019) The sharing economy has catalyzed various business patterns, advancing as technology upgrades and behavior adjusts. (Standing et al., 2019) In the sharing economy the data achievable to facilitate users' decision-making (Bratu, 2018; Fielden et al., 2018; Melian Gonzalez, 2018; Mihaila et al., 2018; Roberts and Marchais, 2018) targets chiefly community-generated reliance and reputation statistics. (Zloteanu et al., 2018) The extent of attained earnings, which results from the assessment of the shared assets, is influenced by commodities and personal reputation. (Abrate and Viglia, 2019)

  3. Methodology and Empirical Analysis

    Building our argument by drawing on data collected from Edelman Intelligence, EY, Morning Consult, RSA/Ipsos MORI, Upwork, and YouGov Omnibus, we performed analyses and made estimates regarding how gig workers view their jobs, the level of satisfaction with different aspects of gig economy, proportion of satisfied with work-related benefits by type of gig economy activity, what motivates gig workers, attitudes towards contingent workers, and top reasons for freelancing.

  4. Results and Discussion

    Trust is a pivotal characteristic of sharing patterns. Users generally have confidence in a firm or manufactured item when it has been endorsed by individuals they trust. (Standing et al., 2019) Security and privacy constitute the most serious issues in the sharing economy whose contributors have to establish trust via online reviews. (Chang and...

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