Introspective Parameter on Talent Management for Service and Manufacturing Industry Introduction

Talent acquisition and management as a part of HR analytics is getting transformed with the emerging technology landscape, mobility, big data analytics, artificial intelligence and machine learning which are expected to cause a colossal shift in the way Talent management will be handled in future. Expectations and aspirations of the employees are increasing. There is severe competition between the companies to attract and retain the best talent irrespective of the situation. Thus, talent management acts as a vital HR tool in the organizations to reduce the cost and increase the efficiency. This paper takes interest in introspective parameter on talent management for service and manufacturing industry. The study has chosen Mangalore Chemicals and Fertilizers Limited (MCF) in manufacturing category and Diya Systems, Mangalore in software services category. The paper makes an effort to understand understand the relevant components responsible for talent acquisition and management in Diya Systems Mangalore and MCF Mangalore. Talent management in both the companies was not influenced either by the age or the gender of the employees. Present paper proposes a model of Talent Acquisition and Management followed by the observations and the findings.