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数字零工平台上的工作要求-资源与反生产工作行为

Job demands-resources on digital gig platforms and counterproductive work behavior.

作者信息

Zhao Shanshan, Liu Yanfeng

机构信息

School of Business and Management, Jiaxing Nanhu University, Jiaxing, China.

School of Management of Technology, Pukyong National University, Busan, Republic of Korea.

出版信息

Front Psychol. 2024 Sep 17;15:1378247. doi: 10.3389/fpsyg.2024.1378247. eCollection 2024.

DOI:10.3389/fpsyg.2024.1378247
PMID:39355288
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11442296/
Abstract

INTRODUCTION

With the rapid expansion of digital gig platforms, counterproductive work behavior among gig workers has become increasingly prominent, adversely impacting the platform's reputation, operational efficiency, and user experience. This study aims to explore how job demands and job resources influence counterproductive work behavior among gig workers.

METHODS

Grounded in the Job Demands-Resources model and Job Engagement Theory, this study develops a second-order chain mediation structural model to analyze the effects of job demands (Work pace/workload, physical demands, psychological demands, and customer-related social stressors) and job resources (Compensation, job security, learning opportunities, and opportunities for professional development) on counterproductive work behavior. Cognitive, emotional, and behavioral engagement are also examined as mediators.

RESULTS

Job demands positively influence counterproductive work behavior, while job resources have a negative impact. Cognitive, emotional, and behavioral engagement each negatively affect counterproductive work behavior. Additionally, platform formalization moderates the negative influence of gig workers' engagement on counterproductive work behavior.

DISCUSSION

This research provides a comprehensive theoretical framework for digital gig platform managers to understand and predict gig workers' counterproductive work behavior. It also offers practical implications for optimizing the work environment, enhancing job engagement, and mitigating counterproductive work behavior, thus fostering mutual development between gig workers and the platform.

摘要

引言

随着数字零工平台的迅速扩张，零工劳动者的反生产工作行为日益突出，对平台声誉、运营效率和用户体验产生了不利影响。本研究旨在探讨工作需求和工作资源如何影响零工劳动者的反生产工作行为。

方法

基于工作需求-资源模型和工作投入理论，本研究构建了一个二阶链式中介结构模型，以分析工作需求（工作节奏/工作量、身体需求、心理需求和与客户相关的社会压力源）和工作资源（薪酬、工作保障、学习机会和职业发展机会）对反生产工作行为的影响。认知、情感和行为投入也作为中介变量进行考察。

结果

工作需求对反生产工作行为有正向影响，而工作资源有负向影响。认知、情感和行为投入各自对反生产工作行为有负向影响。此外，平台正规化调节了零工劳动者投入对反生产工作行为的负面影响。

讨论

本研究为数字零工平台管理者理解和预测零工劳动者的反生产工作行为提供了一个全面的理论框架。它还为优化工作环境、提高工作投入和减轻反生产工作行为提供了实际意义，从而促进零工劳动者与平台的共同发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f677/11442296/630b06142f23/fpsyg-15-1378247-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f677/11442296/1eddf3b157ac/fpsyg-15-1378247-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f677/11442296/3487f3c44c09/fpsyg-15-1378247-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f677/11442296/739ed19e3306/fpsyg-15-1378247-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f677/11442296/fc664613df93/fpsyg-15-1378247-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f677/11442296/630b06142f23/fpsyg-15-1378247-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f677/11442296/1eddf3b157ac/fpsyg-15-1378247-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f677/11442296/3487f3c44c09/fpsyg-15-1378247-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f677/11442296/739ed19e3306/fpsyg-15-1378247-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f677/11442296/fc664613df93/fpsyg-15-1378247-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f677/11442296/630b06142f23/fpsyg-15-1378247-g005.jpg

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A Price Too High: Injury and Assault among Delivery Gig Workers in New York City.
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PLoS One. 2023 Nov 8;18(11):e0294074. doi: 10.1371/journal.pone.0294074. eCollection 2023.
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