{"title":"Finding meaning in crowdwork: An analysis of algorithmic management, work characteristics, and meaningfulness","authors":"W. Zoonen, C. L. Hoeven, Ryan A Morgan","doi":"10.1080/01972243.2023.2243262","DOIUrl":null,"url":null,"abstract":"Abstract In this study we investigate the implications of different aspects of algorithmic coordination and algorithmic quantification for perceived work conditions and the meaningfulness of crowdwork. Using survey data obtained from 412 crowdworkers, our analysis shows that work conditions and the meaningfulness of work are impacted differently by algorithmic coordination and the feeling of being quantified by an algorithm. Specifically, it shows that algorithmic coordination has either a positive or null impact on perceived work conditions and meaningfulness of work. However, negative associations between algorithmic quantification and perceived work conditions, suggest that the algorithmic quantification seems particularly problematic for crowdworkers’ experienced work conditions. Furthermore, algorithmic coordination is positively associated with the meaningfulness of work, while algorithmic quantification is negatively associated with the perceived meaningfulness of work. Using work design theory, the findings also provide insights into the mechanisms explaining these relationships.","PeriodicalId":51481,"journal":{"name":"Information Society","volume":null,"pages":null},"PeriodicalIF":3.0000,"publicationDate":"2023-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Society","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1080/01972243.2023.2243262","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMMUNICATION","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract In this study we investigate the implications of different aspects of algorithmic coordination and algorithmic quantification for perceived work conditions and the meaningfulness of crowdwork. Using survey data obtained from 412 crowdworkers, our analysis shows that work conditions and the meaningfulness of work are impacted differently by algorithmic coordination and the feeling of being quantified by an algorithm. Specifically, it shows that algorithmic coordination has either a positive or null impact on perceived work conditions and meaningfulness of work. However, negative associations between algorithmic quantification and perceived work conditions, suggest that the algorithmic quantification seems particularly problematic for crowdworkers’ experienced work conditions. Furthermore, algorithmic coordination is positively associated with the meaningfulness of work, while algorithmic quantification is negatively associated with the perceived meaningfulness of work. Using work design theory, the findings also provide insights into the mechanisms explaining these relationships.
期刊介绍:
The Information Society is a multidisciplinary journal intended to answer questions about the Information Age. It provides a forum for thoughtful commentary and discussion of significant topics in the world of information, such as transborder data flow, regulatory issues, the impact of the information industry, information as a determinant of public and private organizational performance, and information and the sovereignty of the public and private organizational performance, and information and the sovereignty of the public. Its papers analyze information policy issues affecting society. Because of the journal"s international perspective, it will have worldwide appeal to scientists and policymakers in government, education, and industry.