On The Genealogy of Knowledge Management & Automated Systems in Engine Manufacturing Industry & Perception of BS III and BS IV Heavy Vehicle Drivers in Pune, Maharashtra: A Qualitative Study

Authors

Kshitiz Gupta, Department of Decision Sciences, School of Business, University of Petroleum and Energy Studies, Dehradun, India
Prayas Sharma
Anukriti Sharma

Author Country (or Countries)

India

Abstract

Knowledge management plays an important role in manufacturing industry, as machinery & other physical equipments are not the main criteria of innovation but the knowledge of employees. In manufacturing industry, there is lack of explicit knowledge, which makes it difficult to utilize the power of data. In this paper, a new feedback approach is used with knowledge dust and pearls approach [1] to solve problems related to time and employee motivation with respect to knowledge management. A questionnaire was designed, and interviews of truck drivers were taken to get a general perspective on sociological factors.

Suggested Reviewers

N/A

Digital Object Identifier (DOI)

http://dx.doi.org/10.18576/jsap/100106

Recommended Citation

Gupta, Kshitiz; Sharma, Prayas; and Sharma, Anukriti (2021) "On The Genealogy of Knowledge Management & Automated Systems in Engine Manufacturing Industry & Perception of BS III and BS IV Heavy Vehicle Drivers in Pune, Maharashtra: A Qualitative Study," Journal of Statistics Applications & Probability: Vol. 10: Iss. 1, Article 6.
DOI: http://dx.doi.org/10.18576/jsap/100106
Available at: https://digitalcommons.aaru.edu.jo/jsap/vol10/iss1/6