Opportunities and Benefits of People Analytics for HR Managers and Employees: Signals in the Grey Literature

Aizhan Tursunbayeva, Claudia Pagliari, Stefano Di Lauro, Gilda Antonelli

Research output: Contribution to conferencePaperpeer-review

Abstract

With its promise to help leaders better understand and optimize their workforce, People Analytics is attracting increasing attention in Human Resource (HR) Management and has been recently defined as one of the top 10 HR technology disruptions that could transform the way we work and manage organizations. Despite this optimism, and the growing market in People Analytics tools and services,
recent literature reviews show that it has been largely unexplored as a research topic and is little understood beyond HR innovators. We are currently analyzing social media, and the ‘grey literature’ it points to, to obtain insights into how scholars, business innovators, and HR are talking about the benefits and opportunities of People Analytics and the key sources of knowledge or evidence guiding this narrative. The provisional results reported here illustrate how we analyzed relevant Tweets with reference to an existing framework for classifying PA benefits for different HRM practices. This analysis, and our broader scoping review, aim to provide new insights for HR practitioners and academic
researchers.
Original languageEnglish
Publication statusPublished - Sep 2019
EventThe 13th Mediterranean Conference on Information Systems (MCIS), Naples, Italy, 2019: Digital transformation and social innovation: organizing, managing and controlling in the information age - University of Naples, "Parthenope", Naples, Italy
Duration: 27 Sep 201928 Sep 2019
http://www.itais.org/conference/2019/

Conference

ConferenceThe 13th Mediterranean Conference on Information Systems (MCIS), Naples, Italy, 2019
Abbreviated titleItAIS and MCiS 2019
Country/TerritoryItaly
CityNaples
Period27/09/1928/09/19
Internet address

Keywords

  • People Analytics
  • Data Science
  • Human Resources Management
  • information systems innovation
  • Workforce analytics
  • future of work
  • Big Data

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