Please use this identifier to cite or link to this item: http://192.168.194.112/handle/1/12736
Title: Wages, Productivity, and Social Security in Indian Manufacturing Sector
Authors: Subba Rao, Adhikari V V
Keywords: School of Management and Labour Studies
Bino Paul
Wages - Manufacturing sector - India
Productivity - Manufacturing sector: - India
Social Security - Manufacturing sector - India
Issue Date: 2019
Abstract: The present thesis has analysed the determinants of productivity and their significant feasible contribution in the manufacturing sector from the global arena using the “Penn World Table (PWT)”, “version 9.0” on “(www.ggdc.net/pwt)”, Indian industry level using the data from ASI, 2012-2013, unit level records to measure the quantifiable factors but it is expected that the presence of non-quantifiable factors to have a considerable impact on productivity therefore to capture those non-quantifiable factors the authors have also conducted a single case study from a public sector enterprise (PSE) to measure the same. It is presumed that generally, a non-quantitative study within a quantitative study helps to understand the logical explanation which lies in the quantitative data so that the results could be interpreted in a better way. The results of the study revealed very interesting facts where the business organisations can take cognisance out of it that to increase the productivity; firms need to adopt productive and sophisticated technology, hire the right talent, and also up-skill and re- skill the existing employees with better working conditions. Considering India being a labour surplus economy, employers can adopt both labour and sustainable capital into the business operations to leverage the available mass chunk of the workforce. Before absorbing the technology, organisations need to hire the right talent or train and equip the employees adequately to maneuver those innovative technologies for increased productivity. Also, two concepts through the case study viz., 1) Unfair “Employee Value Proposition (EVP)” and 2) Shady business practices were derived, and therefore the above two non-quantifiable factors also have a considerable impact on the overall productivity.
URI: http://192.168.194.112/handle/1/12736
Appears in Collections:M.Phil.

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01_Title Page.pdf139.82 kBAdobe PDFView/Open
02_Declaration.pdf139.99 kBAdobe PDFView/Open
03_Certificate.pdf139.97 kBAdobe PDFView/Open
04_Table of Contents.pdf143.54 kBAdobe PDFView/Open
05_List Of Abbrevations.pdf140.55 kBAdobe PDFView/Open
06_List Of Illustrations.pdf140.32 kBAdobe PDFView/Open
07_List Of Tables.pdf144.44 kBAdobe PDFView/Open
08_Acknowledgement.pdf141.55 kBAdobe PDFView/Open
09_Abstract.pdf141.53 kBAdobe PDFView/Open
10_Chapter 1.pdf480.92 kBAdobe PDFView/Open
11_Chapter 2.pdf341.51 kBAdobe PDFView/Open
12_Chapter 3.pdf334.26 kBAdobe PDFView/Open
13_Chapter 4.pdf1.4 MBAdobe PDFView/Open
14_Chapter 5.pdf9.74 MBAdobe PDFView/Open
15_Chapter 6.pdf673.06 kBAdobe PDFView/Open
16_Chapter 7.pdf333.59 kBAdobe PDFView/Open
17_Appendix.pdf6.26 MBAdobe PDFView/Open
18_References.pdf546.58 kBAdobe PDFView/Open


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