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Applying the sociotechnical systems theory to crowdsourcing food delivery platforms: the perspective of crowdsourced workers

Somi Lee (College of Hotel and Tourism Management, Kyung Hee University, Seoul, Korea)
Howook (Sean) Chang (Chaplin School of Hospitality and Tourism Management, Florida International University, Miami, Florida, USA)
Meehee Cho (College of Hotel and Tourism Management, Kyung Hee University, Seoul, Korea)

International Journal of Contemporary Hospitality Management

ISSN: 0959-6119

Article publication date: 11 April 2022

Issue publication date: 3 June 2022

1114

Abstract

Purpose

Crowdsourcing food delivery represents great potential for future development and expansion of the restaurant business. Accordingly, job performance and retention of delivery workers are critical for success. Therefore, this paper aims to investigate how to enhance crowdsourced delivery workers’ job performance and intent to continue working by applying the sociotechnical systems theory.

Design/methodology/approach

The data analysis was conducted using responses obtained from crowdsourced food delivery workers. A structural equation model was developed to verify the hypothesized relationships. To test the proposed moderating roles of a three-dimensional concept of social capital within the research model, multi-group analyses were implemented.

Findings

This study confirmed the significant relationships between crowdsourcing risks related to workers’ low job commitment and technical systems, attributing to reduced job performance and intent to continue working. Results documented that social systems including networks, trust and shared vision mitigated the negative impact of the perceived difficulty and complexity of technical systems and job performance.

Originality/value

Although technology has contributed significantly to the effectiveness of online food delivery, the literature has mainly focused on its benefits and has ignored the critical aspects derived from a virtual and technology-based workplace. This gap was addressed by verifying the important roles of social factors (networks, trust and shared visions) in reducing the negative impacts of technology-driven risks (perceived difficulty of task requirements and technology complexity) within the crowdsourcing food delivery context.

Keywords

Citation

Lee, S., Chang, H.(S). and Cho, M. (2022), "Applying the sociotechnical systems theory to crowdsourcing food delivery platforms: the perspective of crowdsourced workers", International Journal of Contemporary Hospitality Management, Vol. 34 No. 7, pp. 2450-2471. https://doi.org/10.1108/IJCHM-10-2021-1286

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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