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dc.contributor.authorBakewell, L
dc.contributor.authorVasilieiou, K
dc.contributor.authorLong, K
dc.contributor.authorAtkinson, M
dc.contributor.authorRice, H
dc.contributor.authorBarreto, M
dc.contributor.authorBarnett, J
dc.contributor.authorWilson, M
dc.contributor.authorLawson, S
dc.contributor.authorVines, J
dc.date.accessioned2018-02-12T15:53:57Z
dc.date.issued2018-04-21
dc.description.abstractThis paper examines how data-driven performance monitoring technologies affect the work of telecommunications field engineers. As a mobile workforce, this occupational group rely on an array of smartphone applications to plan, manage and report on their jobs, and to liaise remotely with managers and colleagues. These technologies intend to help field engineers be more productive and have greater control over their work; however they also gather data related to the quantity and effectiveness of their labor. We conducted a qualitative study examining engineers’ experiences of these systems. Our findings suggest they simultaneously enhance worker autonomy, support co-ordination with and monitoring of colleagues, but promote anxieties around productivity and the interpretation of data by management. We discuss the implications of datadriven performance management technologies on worker agency, and examine the consequences of such systems in an era of quantified workplaces.en_GB
dc.description.sponsorshipThis work was supported by RCUK grant ES/M003558/1, funded through the Empathy and Trust in Online Communicating (EMoTICON) funding call administered by the Economic and Social Research Council in conjunction with the RCUK Connected Communities, Digital Economy and Partnership for Conflict, Crime and Security themes, and supported by the Defence Science and Technology Laboratory (Dstl) and Centre for the Protection of National Infrastructure (CPNI).en_GB
dc.identifier.citationACM Conference on Human Factors in Computer Systems (CHI 2018), April 21–26, 2018, Montreal, QC, Canadaen_GB
dc.identifier.doi10.1145/3173574.3173945
dc.identifier.urihttp://hdl.handle.net/10871/31427
dc.language.isoenen_GB
dc.publisherAssociation for Computing Machinery (ACM)en_GB
dc.rights.embargoreasonUnder embargo until 27 April 2018 until the conclusion of the conferenceen_GB
dc.rights© 2018 Copyright is held by the owner/author(s). Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for thirdparty components of this work must be honored. For all other uses, contact the Owner/Author.en_GB
dc.subjectperformance managementen_GB
dc.subjectoccupational healthen_GB
dc.subjectquantified workplaceen_GB
dc.subjectqualitative studyen_GB
dc.subjectRemote monitoringen_GB
dc.titleEverything We Do, Everything We Press: Data-Driven Remote Performance Management in a Mobile Workplaceen_GB
dc.typeConference paperen_GB
dc.descriptionThis is the author accepted manuscript. The final version is available from ACM via the DOI in this recorden_GB


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