Quantitative Multidisciplinary Approaches in Human Capital and Asset Management is popular PDF and ePub book, written by Russ, Meir in 2015-11-05, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Quantitative Multidisciplinary Approaches in Human Capital and Asset Management can be Read Online from any device for your convenience.
Quantitative Multidisciplinary Approaches in Human Capital and Asset Management Book PDF Summary
In the ‘knowledge economy’, it is widely recognized that the effective engagement and utilization of human capital and the other facets of intellectual capital are critical, if not the only means, to organizations’ short-term success and long-term survival. Quantitative Multidisciplinary Approaches in Human Capital and Asset Management provides robust scientific research and multidisciplinary perspectives on the theory behind the governance of human capital and human assets. Focusing on insight from the diverse fields of economics, finance, accounting, IT, biology, and development, this timely publication is designed to fit the research needs of researchers, practitioners, graduate-level students, and executives seeking methods for managing intellectual capital in the new knowledge economy.
Detail Book of Quantitative Multidisciplinary Approaches in Human Capital and Asset Management PDF
- Author : Russ, Meir
- Release : 05 November 2015
- Publisher : IGI Global
- ISBN : 9781466696532
- Genre : Business & Economics
- Total Page : 318 pages
- Language : English
- PDF File Size : 15,5 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Quantitative Multidisciplinary Approaches in Human Capital and Asset Management by Russ, Meir, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.