The role of knowledge management in institutional strategy development and competitiveness at leading African universities
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DOIhttp://dx.doi.org/10.21511/kpm.03(1).2019.03
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Article InfoVolume 3 2019, Issue #1, pp. 19-30
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The role of knowledge management as a strategic intervention in higher education in developing economies has not been studied extensively. Higher education plays a central role in a country’s economy through knowledge creation and dissemination to its stakeholders. The main purpose of this article was to examine the role and influence of knowledge management in decision-making and strategy formulation at leading universities in Africa and to establish if knowledge management was adding value and competitiveness to the institutions. A survey across 20 leading African universities was conducted in 2014. A mixed method of quantitative and qualitative approaches was adopted. The results show that knowledge management does have the potential to positively influence institutional strategy formulation, but should ideally be represented at executive level for its potential to be fully realized. More knowledge management practice is needed in the areas of academic teaching and learning, and research. There was a lack of sophisticated and powerful knowledge management Information Systems in most of Africa’s leading institutions. Those institutions that utilized KM more strategically, inclusive of specialized KM Information Systems were the higher ranked institutions. This suggests that knowledge management could play a crucial role in a University’s success and competitiveness.
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JEL Classification (Paper profile tab)I23, O43, O32
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References40
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Tables5
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Figures5
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- Figure 1. How collected data/information is being used by the respondents’ division/department
- Figure 2. Frequency of institutional knowledge management presentations
- Figure 3. Strategic use of knowledge management at the respondents’ institutions
- Figure 4. Strategic use of knowledge management
- Figure 5. Provision of Knowledge Management Systems to facilitate academic research
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- Table 1. List of universities in South Africa and greater Africa chosen for the study
- Table 2. Does KM add value to the division/department?
- Table 3. Types of Knowledge Management Information Systems used and frequency of use
- Table 4. Knowledge management practice and KMIS improves efficiency, competitiveness and continuous learning
- Table 5. University respondents by number and location
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- Azma, F., & Mostafapour, M. A. (2012). Business intelligence as a key strategy for development organizations. Procedia Technology, 1, 102-106.
- Beckman, T. J. (1999). The current state of knowledge management. In J. Liebowitz (Ed.), Knowledge Management Handbook (pp. 11-22). New York: CRC Press LLC.
- Chandarasupsang, T., Harnpornchai, N., Chakpitak, N., & Dahal, K. (2006). Enhancing University Research Activities with Knowledge Management, The International conference on Software Knowledge Information Management and Applications (SKIMA). At International Conference on Software Knowledge Information Management and Applications (SKIMA 2006) Chiang Mai, Thailand. Bradford: University of Bradford, School of Informatics.
- Chen, M., Huang, M., & Cheng, Y. (2009). Measuring knowledge management performance using a competitive perspective: An empirical study. Expert Systems with Applications, 36(4), 8449-8459.
- Cranfield, D. J., & Taylor, J. (2008). Knowledge Management and Higher Education: A UK case Study. The Electronic Journal of Knowledge Management, 6(2), 85-100.
- Delavari, N., Phon-Amnuaisuk, S., & Beikzadeh, M. R. (2008). Data Mining Application in Higher Learning. Informatics in Education Institutions, 7(1), 31-54.
- Elbashir, M. Z., Collier, P. A., & Michael, D. J. (2008). Measuring the effects of business intelligence systems: The relationship between business process and organizational performance. International Journal of Accounting Information Systems, 9, 135-153.
- Garcia-Morales, V. J., Llorens-Montes, F. J., & Verdu-Jover, A. J. (2007). Influence of personal mastery on organizational performance through organizational learning and innovation in large firms and SMEs. Technovation, 27(9), 547-568.
- Ghaffari, H., Rafeie, M., & Ashtiani, A. C. (2012). Quality Open Higher Education via Knowledge Management. Journal of Basic and Applied Scientific Research, 2(2), 1787-1792.
- Goyal, M., & Vohra, R. (2012). Applications of Data Mining in Higher Education. International Journal of Computer Science Issues, 9(2-1), 113-120.
- Hung, R. Y. Y., Lien, B. Y., Yang, B., Wud, C. M., & Kuo, Y. M. (2011). Impact of TQM and organizational learning on innovation performance in the high-tech industry. International Business Review, 20(2), 213-225.
- Jiménez-Jiménez, D., & Cegarra-Navarro, J. G. (2006). The performance effect of organizational learning and market orientation. Industrial Marketing Management, 36(6), 694-708.
- Kebede, G. (2010). Knowledge management: An information science perspective. International Journal of Information Management, 30(5), 416-424.
- Kende, G., Noszkay, E., & Seres, G. (2007). Role of the knowledge management in modern higher education – the e-learning. Education, 6(4), 559-573.
- Kidwell, J. J., Linde, K. V., & Johnson, S. L. (2000). Applying corporate Knowledge Management practices in higher education. EDUCAUSE QUARTERLY, 4, 28-33.
- King, A. (2013). Higher Education Turns to Predictive Analytics.
- Krajcso, Z. (2009). Idea Exchange in Translation Studies. Proceedings of International Conference on Education and New Learning Technologies EDULEARN09 (pp. 2989-2995). Barcelona, Spain.
- Laal, M. (2010). Knowledge management in higher education. Procedia Computer Science, 3, 544-549.
- Loh, B., Tang, A., Menkhoff, T., Chay, Y., & Evers, H. D. (2003). Applying Knowledge Management in University Research (Paper No. 1918). Research Collection Lee Kong Chian School of Business.
- Lubega, T. J., Omona, W., & Van der Weide, T. (2011). Knowledge Management Technologies and Higher Education Processes: Approach to Integration for Performance Improvement. International Journal of Computing and ICT Research, 5(Special Issue), 55-68.
- Mamta, B. (2012). Institutional Knowledge to Institutional Intelligence: A Data Mining Enabled Knowledge Management Approach. International Journal of Computational Engineering Research, 2(5), 1356-1360.
- Marshall, B., Zhang, Y., Chen, H., Lally, A., Shen, R., Fox, E., & Cassel, L. N. (2003). Convergence of Knowledge Management and E-Learning: the GetSmart Experience. Proceedings of the 2003 Joint Conference on Digital Libraries (JCDL’03) (pp. 135-146). Houston.
- Mchombu, K. J. (2007). Harnessing knowledge management for Africa’s transition to the 21st century. Information Development, 23(1), 25-42.
- Metaxiotis, K., & Psarras, J. (2003). Applying Knowledge Management in Higher Education: The Creation of a Learning Organisation. Journal of Information and Knowledge Management, 2(4), 353-359.
- Omona, W., Van der Weide, T., & Lubega, J. (2010). Using ICT to enhance Knowledge Management in higher education: A conceptual framework and research agenda. International Journal of Education and Development using Information and Communication Technology (IJEDICT), 6(4), 83-101.
- Oosterlinck, A., & Leuven, K. U. (2002). Knowledge management in post-secondary education: Universities.
- Petrides, L., & Nodine, T. (2003). Knowledge Management in Education: Defining the Landscape. California: Institute for the Study of Knowledge Management in Education.
- Phang, C. W., Kankanhalli, A., & Ang, C. (2008). Investigating organizational learning in eGovernment projects: A multi-theoretic approach. Journal of Strategic Information Systems, 17(2), 99-123.
- Pircher, R., & Pausits, A. (2011). Information and Knowledge Management at Higher Education Institutions. Management Information Systems, 6(2), 8-16.
- Psarras, J. (2006). Analysing the value of knowledge management leading to innovation. International Journal of Knowledge Management Studies, 1(1-2), 79-89.
- Sahay, A., & Mehta, K. (2010). Assisting Higher Education in Assessing, Predicting, and Managing Issues Related to Student Success: A Web-based Software using Data Mining and Quality Function Deployment. Academic and Business Research Institute Conference, Las Vegas.
- Shams, G., Rad, A. M., & Hooshmand, A. (2009). Knowledge Management Practices in Higher Education Institutes: A Different Approach. Proceedings of International Conference on Education and New Learning Technologies EDULEARN09. Barcelona, Spain.
- Sharman, D. (2010). An Introduction to Business Intelligence for Higher Education. Collegiate Project Services.
- Times Higher Education. (2013a). World University Rankings 2012–2013 methodology.
- Times Higher Education. (2013b). World University Rankings 2012–2013.
- Tippins, M. J., & Sohi, R. S. (2003). IT competency and firm performance: Is organizational learning a missing link? Strategic Management Journal, 24(8), 745-761.
- Top 10 Universities in Greater Africa. (2013).(accessed on January 15, 2013)
- Top 10 Universities in South Africa. (2013).(accessed on January 15, 2013)
- Top 100 Universities in Africa. (2013). (accessed on January 15, 2013)
- Yang, J. T. (2007). Knowledge sharing: Investigating appropriate leadership roles and collaborative culture. Tourism Management, 28(2), 530-543.
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Factors affecting service quality at Vietnamese retail banks
Tran Phi Hoang
doi: http://dx.doi.org/10.21511/bbs.13(2).2018.04
Banks and Bank Systems Volume 13, 2018 Issue #2 pp. 39-48 Views: 6406 Downloads: 1351 TO CITE АНОТАЦІЯSustainable growth and development can be the most important lesson that banks have learned in recent decades. Banks would gain many benefits, win the competition and develop sustainably if there have been more and more loyal customers. Customer satisfaction will help build customer loyalty. In order to have loyal customers, service quality must be good. Quality customer service of the bank is to ensure customer satisfaction and take their needs into consideration to improve service quality. High customer service quality will generate value not only to meet customer needs but also the expectations of customers and make banks more prominent than their competitors. This study identifies factors that affect customer satisfaction with the service quality at Vietnamese retail banks. The results are obtained by qualitative and quantitative method. The research model with a questionnaire consisting of 22 variables, 5 scales for a survey of 554 customers, is identified and developed through interviews with experts and group discussions. The findings show that customer satisfaction with the service quality at retail banks is influenced by “reliability”, “responsiveness”, “empathy”, “security”, and “tangibles”. Based on the findings, solutions for improving service quality are proposed for Vietnamese retail banks.
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The impact of COVID-19 on the transportation and logistics industry
Dalia Perkumiene ,
Agbonmere Osamede ,
Regina Andriukaitienė ,
Olegas Beriozovas
doi: http://dx.doi.org/10.21511/ppm.19(4).2021.37
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Knowledge management technology: human-computer interaction & cultural perspective on pattern of retrieval, organization, use, and sharing of information and knowledge
Knowledge and Performance Management Volume 1, 2017 Issue #1 pp. 46-54 Views: 4780 Downloads: 1113 TO CITEKnowledge Management (KM) implementation is as much a challenge as it is a great opportunity for businesses worldwide in several sectors. The controversy over its worthwhile application persists among practitioners and scholars, with claims having arisen that business opportunities and performance are enhanced through KM adoption. Conversely, challenges regarding effective implementation of KM concerning individuals’ behaviors, beliefs, and practices prompt significant questioning regarding its complex basis: individual-technology-process-production. The purpose of this work is to shed light on some perspectives for the effective adoption of knowledge management technology, the consolidation of a favorable and aligned organizational culture, and patterns of use and retrieval of information in organizations. This study brings into focus the concept of knowledge management and technology, and culture in the organization through a systematic literature review and based on the researcher’s hypothesis and observations that successful KM implementation results from a clear understanding of its multidisciplinary, complex, and multifaceted process, which requires a methodical and strategic business practice concerning the application of technological tools, the establishment of a learning culture through shared vision of business’ and individuals’ needs, and consequential enhancement of processes and solutions. It concludes that investment in KM practice and the consolidation of a learning culture are correlated, reflecting a type of leadership that is favorable to the flow of information, generation, and sharing of knowledge (the intellectual capital) and optimization of decision making and business performance.
