Harnessing Human Capital Analytics for Competitive Advantage

Harnessing Human Capital Analytics for Competitive Advantage

Mohit Yadav, Shrawan Kumar Trivedi, Anil Kumar, Santosh Rangnekar
Indexed In: SCOPUS
Release Date: March, 2018|Copyright: © 2018 |Pages: 367
DOI: 10.4018/978-1-5225-4038-0
ISBN13: 9781522540380|ISBN10: 1522540385|EISBN13: 9781522540397
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Description & Coverage
Description:

The workforce is considered to be the lifeblood within many major corporations. The ability of management to effectively utilize the knowledge and skills of their workforce is essential in ensuring the success of their corporations.

Harnessing Human Capital Analytics for Competitive Advantage is a critical scholarly publication that explores the influence that workforce knowledge and skills can have on the performance of corporations and how such skills can be used to promote the success of corporations. Featuring coverage on a wide range of topics including employee happiness, mind genomics, and e-commerce adoption, this book is geared toward managers, professionals, and practitioners seeking current research on the advantage of utilizing workforce knowledge and skills to promote corporate success.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • E-Commerce Adoption
  • Employee Happiness
  • Locus of Control
  • Mind Genomics
  • Quality Management Practices
  • Risk Management
  • Service Innovation
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Editor/Author Biographies
Anil Kumar is a faculty of Marketing Analytics and Decision Science in the School of Management at BML Munjal University, Gurgaon India. He completed his Ph.D in Management from Indian Institute of Information Technology and Management, Gwalior. He earned his MBA, MSc (Mathematics) from Department of Mathematics (Kurukshetra University, Kurukshetra) and Graduation in Mathematics-Hons from the same University. He also qualified UGC-NET. He published more than 27 research papers/book chapters and also two books in his credit. His research interest includes marketing analytics, multi-criteria decision making, fuzzy multi-criteria decision making, fuzzy optimisation, application of soft-computing and econometrics modelling in marketing, multi-criteria decision making and fuzzy applications in e-commerce and M-commerce.
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