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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 15 Issue 12, 2024.
Abstract: This research improves Socialization, Externalization, Combination, and Internalization (SECI) knowledge management model by combining it with Zack's knowledge gap model, brand equity concept, and data mining. Zack's model is incorporated into the SECI model to identify the gap between the knowledge in the organization and the knowledge that the organization should possess. We add the data mining techniques to determine that knowledge gap. The uniqueness of this study lies in the externalization and combination of the SECI model. In the externalization, "what the firm must know" is added; for that, we compile the questionnaire by adopting brand equity and distributing it to the athletes. In the combination, "what the firm knows" is added; we use a database already owned by sports business management. The modifications resulting from both models with data mining in this study were carried out to develop a new knowledge management model in the sports business sector. This new model will be valuable knowledge for sports business management to build strategies and increase their competitiveness in the sports market. In addition, other service business fields besides sports can also apply this new model to improve their knowledge management, which they can then use to improve their marketing strategies.
Fransiska Prihatini Sihotang, Ermatita, Dian Palupi Rini and Samsuryadi, “New Knowledge Management Model: Enhancing Knowledge Creation with Zack Gap, Brand Equity, and Data Mining in the Sports Business” International Journal of Advanced Computer Science and Applications(IJACSA), 15(12), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0151219
@article{Sihotang2024,
title = {New Knowledge Management Model: Enhancing Knowledge Creation with Zack Gap, Brand Equity, and Data Mining in the Sports Business},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0151219},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0151219},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {12},
author = {Fransiska Prihatini Sihotang and Ermatita and Dian Palupi Rini and Samsuryadi}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.