International Journal of Knowledge Management and Practices

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Effect of Organisational Structure and ICT on Knowledge-Management Process:Findings From Indian Milk Co-Operatives


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1 IICT, Gujarat, India
     

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The current study has investigated the effect of organisational structure and information and communication technology (ICT) on knowledge-management process in Indian milk co-operatives. Independent variable of this research is organisational structure and its dimensions (centralisation, formalisation, and integration) and ICT. Dependent variable is knowledge-management process (acquiring and creating, organising and storing, sharing/disseminating, and applying). Both qualitative and quantitate research methods have been used in this study. Data were collected using questionnaires. The questionnaires were framed based on measurement parameters suggested in literature. As there are very few studies reported in literature in the context of Indian agricultural organisation, in general and Indian milk co-operatives in particular, the parameters used in other kind of organisation were used in this study. The questions in the questionnaires were suitably changed to make them more relevant/appropriate for milk co-operatives. Structural equation modeling (SEM) was used for hypotheses testing and analysis. Tools like SPSS and AMOS (version 20.0) were used for data analysis. The result showed that there was significant and positive effect of integration and ICT on knowledge-management process in Indian milk co-operatives. These results obtained would help managers of milk co-operative to better understand the linkage between organisational structure, ICT, and knowledge-management process. This work is one of the first empirical studies that examine the relationship between organisational structure, ICT, and knowledge-management process in Indian milk co-operatives.

Keywords

Agriculture Knowledge Management (AKM), Centralisation, Formalisation, Information Communication Technology (ICT), Integration, Knowledge Management (KM), Milk Co-Operatives, Technology.
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  • Akbari, P., Saeidipour, B., & Baharestan, O. (2013). The analysis impact of information technology and organizational structure on strategic knowledge management (Case Study: Islamic Azad University, Kermanshah Branch). International Journal of Information, Security and System Management, 2(1), 148-160.

  • Akman, G., & Yilmaz, C. (2008). Innovative capability, innovation strategy and market orientation: An empirical analysis in Turkish software industry. International Journal of Innovation Management, 12(1), 69-111.

  • Alavi, M., & Leidner, D. E. (2001). Review: Knowledge management and knowledge management systems: Conceptual foundations and research issues. MIS Quarterly, 107-136.

  • Albaum, G. (1997). The Likert scale revisited: An alternative version. Journai of the Market Research Society, 39(2), 331-348.

  • Ali, B. (2008). Critical Success Factors for Effective Knowledge Management in Corporate Sector (Pakistan). PhD dissertation, National University of Modern Languages, Islamabad.

  • Allahawiah, S., Al-Mobaideen, H., & al Nawaiseh, K. (2013). The Impact of information technology on knowledge management processes: An empirical study in the Arab Potash company. International Business Research, 6(1), 235.

  • Allameh, S. M., & Zare, S. M. (2011). Examining the impact of KM enablers on knowledge management processes. Procedia Computer Science, 3, 1211-1223.

  • Amul. (2015). Anand Pattern. Retrieved 2015, from http://www.amuldairy.com/index.php/anand-pattern1 Andrews, M. C., & Kacmar, K. M. (2001). Discriminating among organizational politics, justice, and support. Journal of Organizational Behavior, 22(4), 347-366.

  • Assefa, A., Waters-Bayer, A., Fincham, R., & Mudahara, M. (2009). Comparison of frameworks for studying grass-ischolar_mains innovation: Agricultural Innovation Systems (AIS) and Agricultural Knowledge and Innovation Systems (AKIS). Innovation Africa: Enriching farmers livelihoods, 35-56.

  • Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94.

  • Bennett, R., & Gabriel, H. (1999). Organisational factors and knowledge management within large marketing departments: An empirical study. Journal of knowledge management, 3(3), 212-225.

  • Bentler, P. M. (1983). Some contributions to efficient statistics in structural models: Specification and estimation of moment structures. Psychometrika, 48(4), 493-517.

  • Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238.

  • Bhatt, G. D. (2001). Knowledge management in organizations: Examining the interaction between technologies, techniques, and people. Journal of Knowledge Management, 5(1), 68-75.

  • Browne, M. W., & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods & Research, 21(2), 230-258.

  • Byrne, B. M. (2013). Structural equation modeling with AMOS: Basic concepts, applications, and programming: 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), 39.

  • Chen, C.-J., & Huang, J.-W. (2007). How organizational climate and structure affect knowledge management: The social interaction perspective. International Journal of Information Management, 27(2), 104-118.

  • Choi, S. (2010). Exploring intention to adopt mobile TV service in the United States: Toward a new model with cognitivebased and emotional-based constructs (Doctoral dissertation). University of South Carolina.

  • Choy Chong, S. (2006). KM critical success factors: A comparison of perceived importance versus implementation in Malaysian ICT companies. The Learning Organization, 13(3), 230-256.

  • Chua, A. (2004). Knowledge management systems architecture: A bridge between KM consultants and technologies. International Journal of Information Management, 24, 87-98.

  • Daghfous, A., & Kah, M. M. (2006). Knowledge management implementation in SMEs: A framework and a case illustration. Journal of Information & Knowledge Management, 5(2), 107-115.

  • Darroch, J. (2003). Developing a measure of knowledge management behaviors and practices. Journal of Knowledge Management, 7(5), 41-54.

  • Davenport, T. H., & Klahr, P. (1998). Managing customer support knowledge. California Management Review, 40(3), 195.

  • Donate, M. J., & Guadamillas, F. t. (2010). The effect of organizational culture on knowledge management practices and innovation. Knowledge and Process Management, 17(2), 82-94.

  • Everitt, B. (2002). The Cambridge dictionary of statistics/ BS Everitt. Cambridge University Press, Cambridge, UK New York:.

  • Gold, A. H., & Arvind Malhotra, A. H. S. (2001). Knowledge management: An organizational capabilities perspective. Journal of Management Information Systems, 18(1), 185-214.

  • Graham, A. B., & Pizzo, V. G. (1996). A question of balance: Case studies in strategic knowledge management. European Management Journal, 14(4), 338-346.

  • Hair, J. F. (2006). Multivariate data analysis (Vol. 6): Upper Saddle River, NJ: Pearson Prentice Hall.

  • INDIA, G. O. (2012). 19 Livestock Census-2012 All India Report. Retrieved from 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-industrypotentialhas-been-exploited-sodhi/

  • Ismail Al-Alawi, A., Yousif Al-Marzooqi, N., & Fraidoon Mohammed, Y. (2007). Organizational culture and knowledge sharing: Critical success factors. Journal of Knowledge Management, 11(2), 22-42.

  • Jackson, C. (2001). Process to product: Creating tools for knowledge management. Knowledge Management for Business Model Innovation, Idea Group Publishing, Hershey, PA, 402-413.

  • Janz, B. D., & Prasarnphanich, P. (2003). Understanding the antecedents of effective knowledge management: The importance of a knowledge centered culture. Decision sciences, 34(2), 351-384.

  • Jarvenpaa, S. L., & Staples, D. S. (2000). The use of collaborative electronic media for information sharing: An exploratory study of determinants. The Journal of Strategic Information Systems, 9(2), 129-154.

  • Karadsheh, L. (2009). A theoretical framework for knowledge management process: Towards improving knowledge performance.

  • King, W. R., & Sabherwal, R. (1992). The factors affecting strategic information systems applications: An empirical assessment. Information & Management, 23(4), 217-235.

  • Lee, C. C., & Grover, V. (1999). Exploring mediation between environmental and structural attributes: The penetration of communication technologies in manufacturing organizations. Journal of Management Information systems, 187-217.

  • Lee, H., & Choi, B. (2003). Knowledge management enablers, processes, and organizational performance: An integrative view and empirical examination. Journal of Management Information Systems, 20(1), 179-228.

  • 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.

  • Liao, C., Chuang, S.-H., & To, P.-L. (2011). How knowledge management mediates the relationship between environment and organizational structure. Journal of Business Research, 64(7), 728-736.

  • Lientz, B. P., & Larssen, L. (2004). Manage IT as a business: How to achieve alignment and add value to the company. Routledge.

  • Luftman, J., Papp, R., & Brier, T. (1999). Enablers and inhibitors of business-IT alignment. Communications of the AIS, 1(3es), 1.

  • Islam, M. M., Anjum, S., Modi, R. J., & Wadhwani, K. N. (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.

  • Mahmoudsalehi, M., Moradkhannejad, R., & Safari, K. (2012). How knowledge management is affected by organizational structure. The Learning Organization, 19(6), 518-528.

  • Marwick, A. D. (2001). Knowledge management technology. IBM Systems Journal, 40(4), 814-830.

  • Miller, D., & Dröge, C. (1986). Psychological and traditional determinants of structure. Administrative Science Quarterly, 539-560.

  • Mukerji, M. (2010). Access, use and impact of rural telecentres: findings from a village-level exploration. Paper presented at the Proceedings of the 4th ACM/IEEE International Conference on Information and Communication Technologies and Development.

  • Nahm, A. Y., Vonderembse, M. A., & Koufteros, X. A. (2003). The impact of organizational structure on time-based manufacturing and plant performance. Journal of Operations Management, 21(3), 281-306.

  • Ngoc, P. T. B. (2005). An empirical study of knowledge transfer within Vietnam’s IT companies. Citeseer.

  • Nonaka, I. (1994). A dynamic theory of organizational knowledge creation. Organization science, 5(1), 14-37.

  • Nonaka, I. (1995). The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation: How Japanese Companies Create the Dynamics of Innovation. Oxford university press.

  • Parikh, M. (2001). Knowledge management framwork for high-tech research and development. Engineering Management Journal, 13(3).

  • Pentland, B. T. (1995). Information systems and organizational learning: The social epistemology of organizational knowledge systems. Accounting, Management and Information Technologies, 5(1), 1-21.

  • Rafea, A. (2009). Managing agriculture knowledge: Role of information and communication technology. FAO publications. Retrieved from http://www.fao.org/docs/eims/upload/295346/Rafea%20Managing%20Agriculture%20 Knowledge.pdf

  • Rajendran, K., & Mohanty, S. (2004). Dairy co-operatives and milk marketing in India: Constraints and opportunites. Journal of Food Distribution Research, 35, 34-41.

  • Rowley, J. (2001). Knowledge management in pursuit of learning: The learning with knowledge cycle. Journal of Information Science, 27(4), 227-237.

  • Sekaran, U. (2006). Research methods for business: A skill building approach. John Wiley & Sons.

  • Shin, M. (2004). Framework for evaluating economics of knowledge management systems. Journal of Information and Management, 42(1), 179-196.

  • Sulaiman, R. V., Hall, A., Kalaivani, N. J., Dorai, K., & Vamsidhar Reddy, T. S. (2012). Necessary, but not sufficient: Critiquing the role of information and communication technology in putting knowledge into use. Journal of Agricultural Education and Extension, 18(4), 331-346.

  • Supyuenyong, V., & Islam, N. (2006). Knowledge management architecture: Building blocks and their relationships. Technology Management for the Global Future, 3, 1210-1219.

  • Tyndale, P. (2000). The organisational knowledge development life cycle: From knowledge creation to knowledge application. Paper presented at the ECKM European Conference on Knowledge Management.

  • Vangala, R. N. K., Hiremath, B., & Banerjee, A. (2014). A Theoretical Framework for Knowledge Management in Indian Agricultural Organizations. Paper presented at the Proceedings of the 2014 International Conference on Information and Communication Technology for Competitive Strategies.

  • Vangala, R. N. K., Mukerji, M., & Hiremath, B. (2015). ICTs for agriculture knowledge management: insights from DHRUVA, India. Paper presented at the Proceedings of the Seventh International Conference on Information and Communication Technologies and Development.

  • Venkatasubramanian, V., & Mahalakshmi, P. (2012). Innovative institutional approaches for Agricultural Knowledge System management in India in OECD. Improving Agricultural Knowledge and Innovation Systems: OECD Conference Proceedings, OECD Publishing.

  • Wang, E. T. (2001). Linking organizational context with structure: A preliminary investigation of the information processing view. Omega, 29(5), 429-443.

  • Warren, M. (2002). Adoption of ICT in agricultural management in the United Kingdom: The intra-rural digital divide. Zemedelska Ekonomika-Praha, 48(1), 1-8.

  • Waters-Bayer, A., & Van Veldhuizen, L. (2004). Promoting local innovation: Enhancing IK dynamics and links with scientific knowledge. IK Notes, 76.

  • Wong, K. Y. (2005). Critical success factors for implementing knowledge management in small and medium enterprises. Industrial Management & Data Systems, 105(3), 261-279.

  • Yeh, Y.-J., Lai, S.-Q., & Ho, C.-T. (2006). Knowledge management enablers: A case study. Industrial Management & Data Systems, 106(6), 793-810.

  • Zhang, Z. (2001). Implementation of total quality management: An empirical study of Chinese manufacturing firms, PhD thesis, University of Groningen, Netherlands. PhD thesis, University of Groningen, Netherlands.

  • Zheng, W., Yang, B., & McLean, G. N. (2010). Linking organizational culture, structure, strategy, and organizational effectiveness: Mediating role of knowledge management. Journal of Business Research, 63(7), 763-771.


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  • Effect of Organisational Structure and ICT on Knowledge-Management Process:Findings From Indian Milk Co-Operatives

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Authors

Ram Naresh Kumar Vangala
IICT, Gujarat, India
Asim Banerjee
IICT, Gujarat, India

Abstract


The current study has investigated the effect of organisational structure and information and communication technology (ICT) on knowledge-management process in Indian milk co-operatives. Independent variable of this research is organisational structure and its dimensions (centralisation, formalisation, and integration) and ICT. Dependent variable is knowledge-management process (acquiring and creating, organising and storing, sharing/disseminating, and applying). Both qualitative and quantitate research methods have been used in this study. Data were collected using questionnaires. The questionnaires were framed based on measurement parameters suggested in literature. As there are very few studies reported in literature in the context of Indian agricultural organisation, in general and Indian milk co-operatives in particular, the parameters used in other kind of organisation were used in this study. The questions in the questionnaires were suitably changed to make them more relevant/appropriate for milk co-operatives. Structural equation modeling (SEM) was used for hypotheses testing and analysis. Tools like SPSS and AMOS (version 20.0) were used for data analysis. The result showed that there was significant and positive effect of integration and ICT on knowledge-management process in Indian milk co-operatives. These results obtained would help managers of milk co-operative to better understand the linkage between organisational structure, ICT, and knowledge-management process. This work is one of the first empirical studies that examine the relationship between organisational structure, ICT, and knowledge-management process in Indian milk co-operatives.

Keywords


Agriculture Knowledge Management (AKM), Centralisation, Formalisation, Information Communication Technology (ICT), Integration, Knowledge Management (KM), Milk Co-Operatives, Technology.

References