{"title":"Dark sides of algorithmic control in app-based gig work: An objectification perspective","authors":"Yihao Yang , Ming Chi , Xinhua Bi , Yongshun Xu","doi":"10.1016/j.jbusres.2025.115407","DOIUrl":null,"url":null,"abstract":"<div><div>App-based gig work (app-work) relies on algorithmic control (AC) to enhance operational efficiency and minimize costs. While flexible, app-work raises concerns regarding workers’ well-being and performance. Applying the stressor-strain-outcome framework, this study examines the relationship between AC and app-workers’ proactive customer service performance (PCSP) from an objectification perspective. AC can lead to organizational and self-objectification, diminishing workers’ motivation to engage in proactive customer service. This study uses a mixed-methods approach, combining quantitative data from 300 (Study 1) and qualitative insights from 25 app-workers (Study 2). A negative relationship exists between AC and PCSP, mediated by organizational and self-objectification. Coworker support moderates the impact of AC on organizational and self-objectification. Study 2 identifies contextual factors that may influence the verified relationships, providing insights into the research phenomenon. This research contributes to understanding app-workers’ psychological and behavioral responses to AC.</div></div>","PeriodicalId":15123,"journal":{"name":"Journal of Business Research","volume":"195 ","pages":"Article 115407"},"PeriodicalIF":10.5000,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Business Research","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0148296325002309","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
App-based gig work (app-work) relies on algorithmic control (AC) to enhance operational efficiency and minimize costs. While flexible, app-work raises concerns regarding workers’ well-being and performance. Applying the stressor-strain-outcome framework, this study examines the relationship between AC and app-workers’ proactive customer service performance (PCSP) from an objectification perspective. AC can lead to organizational and self-objectification, diminishing workers’ motivation to engage in proactive customer service. This study uses a mixed-methods approach, combining quantitative data from 300 (Study 1) and qualitative insights from 25 app-workers (Study 2). A negative relationship exists between AC and PCSP, mediated by organizational and self-objectification. Coworker support moderates the impact of AC on organizational and self-objectification. Study 2 identifies contextual factors that may influence the verified relationships, providing insights into the research phenomenon. This research contributes to understanding app-workers’ psychological and behavioral responses to AC.
期刊介绍:
The Journal of Business Research aims to publish research that is rigorous, relevant, and potentially impactful. It examines a wide variety of business decision contexts, processes, and activities, developing insights that are meaningful for theory, practice, and/or society at large. The research is intended to generate meaningful debates in academia and practice, that are thought provoking and have the potential to make a difference to conceptual thinking and/or practice. The Journal is published for a broad range of stakeholders, including scholars, researchers, executives, and policy makers. It aids the application of its research to practical situations and theoretical findings to the reality of the business world as well as to society. The Journal is abstracted and indexed in several databases, including Social Sciences Citation Index, ANBAR, Current Contents, Management Contents, Management Literature in Brief, PsycINFO, Information Service, RePEc, Academic Journal Guide, ABI/Inform, INSPEC, etc.