Everything We Do, Everything We Press: Data-Driven Remote Performance Management in a Mobile Workplace

Lyndsey Bakewell, Konstantina Vasileiou, Kiel Long, Mark Atkinson, Helen Rice, Manuela Barreto, Julie Barnett, Mike Wilson, Shaun Lawson, John Vines

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)
5 Downloads (Pure)

Abstract

This 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.
Original languageEnglish
Title of host publicationCHI Conference on Human Factors in Computing Systems (CHI'18)
PublisherACM
ISBN (Electronic)978-1-4503-5620-6/18/04
DOIs
Publication statusPublished - 23 Apr 2018
Event2018 ACM Conference on Human Factors in Computing Systems - Palais des Congrès de Montréal, Montréal, Canada
Duration: 21 Apr 201826 Apr 2018
https://chi2018.acm.org/

Conference

Conference2018 ACM Conference on Human Factors in Computing Systems
Abbreviated titleCHI 2018
CountryCanada
CityMontréal
Period21/04/1826/04/18
Internet address

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