Special Issue "Big Data and Employee Wellbeing"

A special issue of Social Sciences (ISSN 2076-0760).

Deadline for manuscript submissions: 30 June 2019

Special Issue Editors

Guest Editor
Dr. Carolyn Axtell

Institute of Work Psychology, Sheffield University Management School
Website | E-Mail
Interests: employee wellbeing; technology at work; work design; virtual work/telework
Guest Editor
Prof. Bridgette Wessels

School of Social & Political Sciences, University of Glasgow
Website | E-Mail
Interests: The use of digital technology and data in social contexts including telehealth, e-policing, e-services, open data, social media data, and big data
Guest Editor
Dr. Christine Sprigg

Institute of Work Psychology, Sheffield University Management School
Website | E-Mail
Interests: work-related aggression (including violence, bullying, cyberbullying); psychological wellbeing; work design
Guest Editor
Dr. Mark J Taylor

Melbourne Law School, University of Melbourne
Website | E-Mail
Interests: data protection; health privacy; reasonable expectations and public interest in secondary uses of data

Special Issue Information

Dear Colleagues,

Organisations are starting to use Big Data and data analytics to examine employee health and wellbeing (e.g., through the use of fitness tracking technology) with the aim of improving the health and wellbeing of their workforce. There are also vast amounts of digitally captured data gathered within organisations (e.g., network traffic, log-in/off data) that are currently under-utilized but could be used to indicate areas of highly intensive workload where wellbeing risks might occur. While there could be very positive effects of using data to proactively assess and intervene where health and wellbeing risks are highlighted, there are also several challenges—not only in terms of the technical difficulties of handling this data, but also concerns about the reliability/validity of the data, what decisions or actions will be taken as a result of the analysis, and issues relating to data protection, trust, and consent. The complexity of these issues means that a critical multi-disciplinary perspective is required to understand this area better. This Special Issue therefore seeks to draw together theoretical, methodological, and empirical papers from different disciplinary perspectives that examine some of the opportunities, challenges, and lessons learned from other contexts that inform our understanding of using Big Data/data analytics to examine wellbeing within organisations.

This Special Issue was stimulated by an inter-disciplinary ESRC-funded seminar series on the topic of Data and Employee Wellbeing (www.dew.group.shef.ac.uk).

Dr. Carolyn Axtell
Prof. Bridgette Wessels
Dr. Christine Sprigg
Dr. Mark J Taylor
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a double-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Social Sciences is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Big Data
  • Data Analytics
  • Employee Wellbeing
  • Assessment of Wellbeing
  • Wellbeing Intervention
  • Digital Sociology
  • Data Protection

Published Papers

This special issue is now open for submission.
Soc. Sci. EISSN 2076-0760 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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