Asia pacific journal of information systems

The Korea Society of Management Information Systems (한국경영정보학회)
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Leveraging Analytics for Talent Acquisition: Case of IT Sector in India

  • Avik Ghosh (Analytics and Information Systems, Xavier Institute of Management) ;
  • Bhaskar Basu (Information Systems, Xavier Institute of Management)
  • Received : 2020.07.22
  • Accepted : 2020.12.10
  • Published : 2020.12.31
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Abstract

One of the challenges faced by Talent Acquisition teams today pertains to the acquisition of human resources by matching job descriptions and skillsets desired. It is more so in the case of competitive sectors like the Indian IT sector. There can be various channels for Talent Acquisition and accordingly, the cost and benefits might vary. However, the consequences of a mismatch have an impact on the quality of deliverables, high recruitment expenses and loss of revenue for the organization. With increased and diverse sources of data that are available to organizations today, there is ample opportunity to apply analytics for informed decision making in this field. This paper reveals useful insights that help streamline the Talent Acquisition process in the Indian IT Industry. The paper adopts a data-centric approach to examine the critical determinants for efficient and effective Talent Acquisition process in IT organizations. Selected supervised machine learning algorithms are applied for the analysis of the dataset. The study is likely to help organizations in reassessing their talent acquisition strategy with respect to key parameters like expected cost to company (CTC), candidate sourcing channels and optimal joining period.

Keywords

Acknowledgement

The authors would like to express their sincere gratitude to Professor U Dinesh Kumar, Chair, Data Centre and Analytics Lab and Indian Institute of Management Bangalore (IIMB) for providing permission and access to the dataset used for this study.

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