Int. J. of Human Resources Development and Management   »   2017 Vol.17, No.3/4

 

 

Title: Predictors of graduate employability in Indian information technology sector

 

Authors: Nidhi Sehgal; Saboohi Nasim

 

Addresses:
Zayed University, Al Ruwayyah, Academic City, Dubai, United Arab Emirates
Department of Business Administration, Faculty of Management Studies and Research, Aligarh Muslim University (AMU), India

 

Abstract: This paper elucidates a conceptual review of the predictors of graduate employability in the Indian information technology (IT) sector. Although this sector projects high manpower requirements in the forthcoming years, developing and seeking an employable workforce has been a challenge for the majority of recruiters. As low employability hits the sector, it becomes imperative to bridge this qualitative talent supply gap. Through a conceptual review of the literature, this paper examines the employability construct, the established models and frameworks of employability and the salient factors that influence graduate employability. Subsequently, a model is proposed depicting the predictors of graduate employability in the context of the information technology sector. The study concludes that technical skills, organisational knowledge, and personal and interpersonal skills, are significant predictors of graduate employability. These macro variables further comprise of micro variables. The propositions related to these constructs are delineated for subsequent research in this area.

 

Keywords: employability; skill gap; skill shortage; talent supply mismatch; information technology sector; employer demands; skill deficit; talent gap; unemployment; recruitment challenges; manpower shortage; manpower requirements; employability predictors; India.

 

DOI: 10.1504/IJHRDM.2017.10007451

 

Int. J. of Human Resources Development and Management, 2017 Vol.17, No.3/4, pp.247 - 265

 

Date of acceptance: 22 Nov 2016
Available online: 29 Aug 2017

 

 

Editors Full text accessAccess for SubscribersPurchase this articleComment on this article