Understanding the Relationship between ICT and Knowledge Sharing using Structural Equation Modeling: A study from in Indian Milk Co-operatives
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Authors
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RAM NARESH KUMAR VANGALA
College of Dairy Technology
PVNRTVU
Kamareddy
Keywords:
Information and Communication Technology (ICT), Agricultural organizations, Knowledge Sharing (KS), Structural Equation Modeling (SEM).Abstract
The objective of this paper is to find out the relationship between information and communication technology (ICT) and knowledge sharing process (KS) in Indian Milk Co-operatives. This study uses a quantitative approach as an instrument to collect data from the questionnaire. A total of 114 samples were collected from two different milk co-operatives in India. The data obtained was analyzed and tested the hypothesis by using Structural equation modeling (SEM). The result shows that ICT has a significant influence on knowledge sharing in respondent milk co-operatives. The results of the study can serve as a guide to managers of the co-operatives in designing and ascertain the direction of ICT for effective knowledge sharing practices.
References
Albaum, G. (1997). The Likert scale revisited. Market Research Society. Journal., 39(2), 1-21.
Amul. (2015). Anand Pattern. 2015, from http://www.amuldairy.com/index.php/anand-pattern1
Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the academy of marketing science, 16(1), 74-94.
Byrne Barbara, M. (2016). Structural equation modeling with AMOS: basic concepts, applications, and programming: New York: Routledge.
Chadha, S., & Saini, R. (2014). Information technology support to knowledge management practices: A structural equation modeling approach. IUP Journal of Knowledge Management, 12(1).
Choi, S. (2010). Exploring intention to adopt mobile TV service in the United States: Toward a new model with cognitive-based and emotional-based constructs. University of South Carolina.
Chua, A. (2004). Knowledge management systems architecture: A bridge between KM consultants and technologies. International Journal of Information Management, 24, 87-98.
D, T., Thorne, P., Venkataraman, B., G. Bezkorowajnyj, P., & Romney, D. (2006). Dairy toolbox and its relevance to Indian dairy extension system.
Davenport, T. H., & Prusak, L. (1998). Working Knowledge: How organization manage what the know. Harvard Business School Press, Boston, MA, 102.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (Vol. 6): Upper Saddle River, NJ: Pearson Prentice Hall.
INDIA, G. O. (2012). 19 LIVESTOCK CENSUS-2012 ALL INDIA REPORT, http://dahd.nic.in/sites/default/files/Livestock%20%205.pdf.
Indiancooperative. (2015). Only 17% of dairy industry potential has been exploited: Sodhi. 2015, from http://www.indiancooperative.com/dairy/only-17-of-dairy-industry-potential-has-been-exploited-sodhi/
Kale, R. B., Rohilla, P., Meena, M., & Wadkar, S. K. (2015). Information and communication technologies for agricultural knowledge management in India. J. Glob. Comm, 8(1), 16-22.
Karadsheh, L., Mansour, E., Alhawari, S., Azar, G., & El-Bathy, N. (2009). A theoretical framework for knowledge management process: towards improving knowledge performance. Communications of the IBIMA, 7, 67-79.
Kothari, D., & Kameswari, V. (2019). Developing a standardized tool for assessing the ICT competence of the agricultural extension personnel. Journal of Applied and Natural Science, 11(2), 352-360.
Kukreja, A., & Chakrabarti, B. (2013). Agricultural Knowledge Management and Dissemination: Initiatives by Information and Communication Technology. Journal of Global Communication, 6(1), 51-58.
Lee, Y. C., & Lee, S. K. (2007). Capabilities, processes, and performance of knowledge management: a structural approach. Human Factors and Ergonomics in Manufacturing & Service Industries, 17(1), 21-41.
M.M. Islam, S. A., R.J. Modi and K.N. Wadhwani1. (2016). SCENARIO OF LIVESTOCK AND POULTRY IN INDIA AND THEIR CONTRIBUTION TO NATIONAL ECONOMY. International Journal of Science, Environment and Technology,, 5(3), 956 – 965.
Ngoc, P. T. B. (2005). An empirical study of knowledge transfer within Vietnam's IT companies: Department of Informatics, University of Fribourg Fribourg.
Rajendran, K., & Mohanty, S. (2004). Dairy Co-operatives and Milk Marketing in India: Constraints and Opportunites. Journal of Food Distribution Research, 35, 34-41.
Rao, T. R. (2010). Dairy Information Services Kiosk and Dairy Portal.
Sasidhar, P., & Sharma, V. (2006). Cyber livestock outreach services in India: a model framework. Livestock Research for Rural Development, 18(1), 1-12.
Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill building approach: John Wiley & Sons.
Siong Choy, C., Kuan Yew, W., & Lin, B. (2006). Criteria for measuring KM performance outcomes in organisations. Industrial management & Data systems, 106(7), 917-936.
Sunil Rajoria, S. K. R., Virendra Singh, Manisha Singodia, Brijesh Nanda and Harshita Bhumra. (2018). Attitude of Livestock Farmers towards the ICT based Livestock Extension Services in Jaipur District of Rajasthan, India. International Journal of Current Microbiology and Applied Sciences, 7(2), 1014-1021.
V.C. Patil, L. B. H., P.Priya,A.Prabhuraj,V.Balaji and N.T.Yaduraju. (2011). Information and Communication Technologies for Agriculture Knowledge Management in India. World Appliced Science Journal, IDOSI Publication, 14(5), 794-802.
Venkitachalam, K., & Bosua, R. (2014). Roles enabling the mobilization of organizational knowledge. Journal of knowledge management, 18(2), 396-410.
Yew Wong, K. (2005). Critical success factors for implementing knowledge management in small and medium enterprises. Industrial management & Data systems, 105(3), 261-279.
