Investigating the Analytics for Workforce Automation

International Journal of Economics and Management Studies
© 2022 by SSRG - IJEMS Journal
Volume 9 Issue 5
Year of Publication : 2022
Authors : Surabhi Singh, Lata Bajpai Singh, Anjali Rai
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How to Cite?

Surabhi Singh, Lata Bajpai Singh, Anjali Rai, "Investigating the Analytics for Workforce Automation," SSRG International Journal of Economics and Management Studies, vol. 9,  no. 5, pp. 23-31, 2022. Crossref, https://doi.org/10.14445/23939125/IJEMS-V9I5P103

Abstract:

The increasing data and the persistent aspiration to stay in front of the competition have encouraged organizations to emphasize enabling analytics in managing the workforce. The exploratory study aimed to explore the impact of analytics in digitizing the firm's workforce. The research paper's emphasis was to examine HR analytics implementation issues in workforce management—this research paper employed qualitative research. An in-depth interview tool was used for the primary data collection from the HR heads of 15 organizations, namely online companies in Retail, consumer goods, industrial goods, automobiles, financial services, consulting, and five experts from academia. The study's findings led to proposing a framework for the emerging use of analytics in the firms. The study may benefit the industry by incorporating the HR analytics framework suggested in the paper. The academia may extend the research for describing analytics for resource allocation. The study is original as it proposes a framework that can use analytics to automate the organization's workforce.

Keywords:

Analytics, online, Automation, Workforce.

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