Architecting an Advanced Maturity Model for Business Processes in the Gig Economy: A Platform-Based Project Standardization

Gandhi, Arfive and Sucahyo, Yudho Giri (2021) Architecting an Advanced Maturity Model for Business Processes in the Gig Economy: A Platform-Based Project Standardization. Economies, 9 (4). p. 176. ISSN 2227-7099

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Abstract

The business continuity of the gig economy is strongly driven by the operator’s ability to manage the maturity of business processes. Moreover, projects in the gig economy are risky due to the lack of monitoring and involvement of actors’ profiles. When business processes become mature as the target, platform-based project results can satisfy actors’ expectations. To reach targeted maturity, operators need to standardize their business processes. This standardization is actualized in a maturity model as a benchmark and guideline tool. It exposes how mature the current business processes are and the required improvements. This research aims to construct a maturity model systematically and comprehensively to encourage operators in the gig economy (as the model user) to improve the products and services delivered. This research has constructed a new maturity model for business processes using the maturity model development phases initiated by de Bruin et al. It explores the gig economy ecosystem in Indonesia. This research initiates the maturity model by collecting 48 factors in the gig economy. It continues by composing 13 determinant candidates as representations of the factors. After an empirical test involving 200 people (consisting of gig worker, client, and operator) and two iterations of mixed-method validation involving 16 experts, this research generates ten determinants classified into three dimensions: actors, platforms, and transactions. The maturity level of each determinant is measured to indicate its position toward digital business continuity.

Item Type: Article
Subjects: Journal Eprints > Multidisciplinary
Depositing User: Managing Editor
Date Deposited: 23 Jun 2023 05:18
Last Modified: 03 Nov 2023 04:30
URI: http://repository.journal4submission.com/id/eprint/2344

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