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

Lyndsey Bakewell; Konstantina Vasileiou; Kiel S. Long; Mark  Atkinson; Helen  Rice; Manuela Barreto; Julia Barnett; Michael Wilson; Shaun Lawson; John  Vines

doi:10.1145/3173574.3173945

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

Lyndsey Bakewell, Konstantina Vasileiou, Kiel S. Long, Mark Atkinson, Helen Rice , Manuela Barreto, Julia Barnett, Michael Wilson, Shaun Lawson, John Vines

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

26 Citations (SciVal)

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 language	English
Title of host publication	CHI '18 - Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Place of Publication	New York, U. S. A.
Publisher	Association for Computing Machinery
Number of pages	14
Volume	2018-April
ISBN (Electronic)	9781450356206, 9781450356213
ISBN (Print)	9781450356206
DOIs	https://doi.org/10.1145/3173574.3173945
Publication status	Published - 26 Apr 2018
Event	ACM CHI 2018 Conference on Human Factors in Computing Systems: Late Breaking Work (Extended Abstracts), April 21-26, 2018, Montreal, QC, Canada - Montreal, Canada Duration: 21 Apr 2018 → 27 Apr 2018 https://chi2018.acm.org/

Conference

Conference	ACM CHI 2018 Conference on Human Factors in Computing Systems
Abbreviated title	CHI 2018
Country/Territory	Canada
City	Montreal
Period	21/04/18 → 27/04/18
Internet address	https://chi2018.acm.org/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Occupational health
Performance management
Qualitative study
Quantified workplace
Remote monitoring

ASJC Scopus subject areas

Human-Computer Interaction
Computer Graphics and Computer-Aided Design
Software

Access to Document

10.1145/3173574.3173945

Cite this

Bakewell, L., Vasileiou, K., Long, K. S., Atkinson, M., Rice , H., Barreto, M., Barnett, J., Wilson, M., Lawson, S., & Vines , J. (2018). Everything We Do, Everything We Press: Data-Driven Remote Performance Management in a Mobile Workplace. In CHI '18 - Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (Vol. 2018-April). Article 371 Association for Computing Machinery. https://doi.org/10.1145/3173574.3173945

Everything We Do, Everything We Press: Data-Driven Remote Performance Management in a Mobile Workplace. / Bakewell, Lyndsey; Vasileiou, Konstantina; Long, Kiel S. et al.
CHI '18 - Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. Vol. 2018-April New York, U. S. A.: Association for Computing Machinery, 2018. 371.

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

Bakewell, L, Vasileiou, K, Long, KS, Atkinson, M, Rice , H, Barreto, M, Barnett, J, Wilson, M, Lawson, S & Vines , J 2018, Everything We Do, Everything We Press: Data-Driven Remote Performance Management in a Mobile Workplace. in CHI '18 - Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. vol. 2018-April, 371, Association for Computing Machinery, New York, U. S. A., ACM CHI 2018 Conference on Human Factors in Computing Systems, Montreal, Canada, 21/04/18. https://doi.org/10.1145/3173574.3173945

Bakewell L, Vasileiou K, Long KS, Atkinson M, Rice H, Barreto M et al. Everything We Do, Everything We Press: Data-Driven Remote Performance Management in a Mobile Workplace. In CHI '18 - Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. Vol. 2018-April. New York, U. S. A.: Association for Computing Machinery. 2018. 371 doi: 10.1145/3173574.3173945

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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.",

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AU - Atkinson, Mark

AU - Rice , Helen

AU - Barreto, Manuela

AU - Barnett, Julia

AU - Wilson, Michael

AU - Lawson, Shaun

AU - Vines , John

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AB - 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.

KW - Occupational health

KW - Performance management

KW - Qualitative study

KW - Quantified workplace

KW - Remote monitoring

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M3 - Chapter in a published conference proceeding

SN - 9781450356206

VL - 2018-April

BT - CHI '18 - Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

PB - Association for Computing Machinery

CY - New York, U. S. A.

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ER -

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

Abstract

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

LIDA: Loneliness in the Digital Age

Cite this

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

Abstract

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Projects

LIDA: Loneliness in the Digital Age

Cite this