1Manager, Cognizant Technology Solutions
2Professor, Department of Business Administration, Aligarh Muslim University
3Director, PhD program in Business Administration, All India Management Association-Centre for Management Education
4Associate Professor, Dept. of Business Administration, Utkal University, Bhubaneshwar, Odisha, India, sathyaswaroop2000@yahoo.com
Online published on 28 February, 2020.
The design of Knowledge management adoption depicts similarity to the design proposed in ‘Technology Acceptance Model (TAM) ’and ‘Extended Technology Acceptance Model (TAM2) ’holding varied adoption enablers, suggested by Davis 1989. The purpose of this paper is to identify the relationship between KM adoption enablers and demographic variables prevalent in Indian ITES organizations within Delhi NCR. Due to ordinal nature of data, ‘multiple-ordinal regression ’was applied. The demographic variables are considered independent while KM adoption variables/enablers are considered dependent for this research.
The outcomes from of ‘multiple-ordinal regression ’showcase that maximum number of statistically significant outcomes were in case of the KM adoption enabler ‘Perceived Usefulness ’holding likelihood of lower cumulative scores in most cases with lowest scores from the independent variables ‘18–28 years ’age group and ‘Admin ’department.
This research study has proposed a knowledge management adoption framework for Indian ITES organization that can be used as guidelines to develop KM adoption and augmentation strategies.
Knowledge Management, Technology Acceptance Model, Multiple-Ordinal Regression
