ISSN: 2222-6990
Open access
Knowledge management is an application that includes human, processes and technology for managing information and knowledge resources in an organization. With its variety of sophisticated techniques, data mining appears within the knowledge management process of knowledge creation in particular. Organizations make use of knowledge management application and data mining in multiple functional aspects such as manufacturing, finance and marketing. With respect to marketing, organizational products, marketing decisions are very critical to their profit generation. This paper reviews the application of knowledge management and data mining in marketing decisions. Using the scoping review technique, a number of 30 scholarly articles on knowledge management, data mining and marketing decision have been gathered and reviewed. The analysis of the retrieved articles found that clustering was the most frequent technique applied in marketing decision. It is also identified that sale and cash registers are marketing dimensions regularly reported to apply data mining. Scholars have also acknowledged that marketing decisions have effectively applied data mining.
Alavi, M. & Leidner, D.E. (2001). Knowledge management and knowledge management systems: conceptual foundation and research issues. MIS Quarterly, 25(1), 107-136
Ali, A.E. & Bach, C. (2014). Data mining and knowledge management for marketing. International Journal of Innovation and Scientific Research, 2(2), 321-328
Anderson, J. & Kotsiopulos, A. (2002). Enhance decision making using data mining: applications for retailers. Journal of Textile and Apparel, technology and Management, 2(3), 1-14
Aylmer, R.J. (1970). Who makes marketing decision in the multinational firm? Journal of Marketing, 34(4), 25-30
Bora, S. (2011). Data mining and ware housing. 3rd International Conference on Electronics Computer Technology (ICECT), April, 8-10, 2011 (pp)
Bosilj, N. & Jurinjak, I. (2009). The role knowledge management in mobile marketing. Journal of Information and Organizational Sciences, 33(2), 231-241
Bruggen, V.G.H., & Wierenga, B. (2009). Marketing decision making and decision support: challenges and perspectives for successful marketing management support system. Foundation and Trends in Marketing, 4 (4), 209-332
Buttar, H. & Kaur, R. (2013). Association technique in data mining and its application. International Journal of Computer Trends and technology (IJCTT), 4(4), 715-719
Chaffey, D; Wood, S. (2005). Business Information Management. Prentice Hall, New York,
Ding, P. (2010). Data mining process model for marketing and CRM. International Conference on Machine Learning and Cybernetics (ICMLC), July, 11-14, 2010, Qingdao: China
Fayyad, U., Piatetsky-Shapiro, G. & Smyth, P. (1996). From data mining to knowledge discovery in database. AI magazine, 17(3), 37-54
Fejza, E. & Asllani, A. (2013). The importance of marketing in helping companies with their growth strategies: the case of food industry in Kosovo. European Scientific Journal, 9(6), 326-335
Flici, A. (2017). A direct marketing framework to facilitate data mining usage for marketers: a case study in supermarket promotion strategy,
Girard, J.P., & Girard, J.L. (2015). Defining knowledge management: toward an applied compendium, Online Journal of Applied Knowledge Management. 3(1), 1-20
Folorunso, O. & Ogunde, A.O. (2004). Data mining as a technique for knowledge management in business process redesign. The Electronic Journal of Knowledge Management, 2(1), 33-44
Harshna, & NavneetKaur. (2013). Survey paper on Data Mining techniques of Intrusion Detection. International Journal of Science, Engineering and Technology Research (IJSETR), 2(4), 799-802
Hlupic, V., Pouloudi, A. & Rzevski, G. (2002). Toward an integrated approach to knowledge management: hard, soft and abstract, issue
King, W. R. (2009). Knowledge management and organizational Learning. Annals of Information
Systems, 4, 3-13. doi: 10.1007/978-1-4419-0011-1_1
Lawal, N.T.A, Odeniyi, O.A. & Kayode, A.A. (2015). Application of data mining and knowledge management for business improvement: an exploratory study. International Journal of Applied Information System, 8(3)
Liao, S.H., Chen, C.M., Wu, C.H. (2008). Mining customer knowledge for product line and brand extension in retailing .Expert Singh, R., Iyer, & Salam, A.F. (2003). Web service for knowledge management in e-marketplaces. E-Service Journal, 3(1), 32-52
Liu, G & Qi, Z (2013). Data mining application in marketing strategy. 3rd International Conference on Intelligence System Design and Engineering Application, January, 16-18, 2013, (pp 518-520). China: Hong Kong.
Ornek, O. & Abdulhamit, S. (2015). Clustering marketing datasets with data mining techniques.408-412
Palacios, D. Gil, I. & Garrigos, F. (2009). The impact of knowledge management on innovation and entrepreneurship in the biotechnology and telecommunications industries. Small Business Economic, 32(3) 291-301
Rashidi, R.P., Nosratabadi, D.A. & Jalalabadi, H.K. (2015). Knowledge management and data mining for marketing. Journal of Applied E
In-Text Citation: (Wahab & Rahman, 2018)
To Cite this Article: Wahab, W. A., & Rahman, S. A. (2018). A Brief Review on the Knowledge Management and Data Mining for Marketing Decision. International Journal of Academic Research in Business and Social Sciences, 8(9), 245–254.
Copyright: © 2018 The Author(s)
Published by Human Resource Management Academic Research Society (www.hrmars.com)
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