Abstract
A number of prior studies have been conducted to assess the extent of progress within these stages in the BI area. Among them, a study of Eom [1] has provided bibliometric evidence that the decision support system has made meaningful progress over the past three and a half decades (1969–2004). The primary data for this study were gathered from a total of 498 citing articles in the BI/DSS area over the past eight years (2005–2012). This study, based on author cocitation analysis (ACA), presents two important findings. First, the empirical consensus of BI researchers reveals that the focus of business intelligence research is shifting to knowledge management and data mining. Second, since ACA is a supporting quantitative tool that must be used with further qualitative analysis of bibliographic data, we examined the foundational concepts of knowledge management provided by the most influential scholars and their most frequently cited publications.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Eom, S.B.: The Development of Decision Support Systems Research: A Bibliometrical Approach. The Edwin Mellen Press, Lewiston (2007). (3)
Turban, E., Sharda, R., Delen, D.: Decision Support and Business Intelligent Systems, 9th edn. Prentice Hall, Boston (2011). (150)
Eom, S.B.: Knowledge management and data mining: emerging business intelligence research subspecialties. In: Phillips-Ren, G., Carlsson, S., Respício, A., Brézillion, P. (eds.) DSS 2.0 - Supporting Decision Making with New Technologies, vol. 261, pp. 353–362. IOS Press, Amsterdam (2014)
Eom, S.B., Farris, R.: The contributions of organizational science to the development of decision support systems research subspecialties. J. Am. Soc. Inf. Sci. 47, 941–952 (1996). (4)
Kruskal, J.B., Wish, M.: Multidimensional Scaling. Sage Publications, Newbury Park (1990)
Hair Jr., J.F., Anderson, R.E., Tatham, R.L.: Multivariate Data Analysis with Readings, 2nd edn. Macmillan Publishing Company, New York (1987)
Eom, S.B.: Author Cocitation Analysis: Quantitative Methods for Mapping the Intellectual Structure of an Academic Discipline. Information Science Reference, Hershey (2009)
Eom, S.: Mining Cocitation Data with SAS Enterprise Guide. Cambridge Scholars Publishing, New Castle upon Tyne (2015)
Eom, S.: Knowledge management and data mining: emerging business intelligence research subspecialties. In: Phillips-Wren, G.E., Carlsson, S., Respício, A., Brezillon, P. (eds.) DSS 2.0: Supporting Decsiion Making with New Technologies, vol. 261, pp. 353–362. IOS Press, Amsterdam (2014)
Argote, L., McEvily, B., Ray, R.: Managing knowledge in organizations: an integrative framework and review of emerging themes. Manage. Sci. 49, 571–583 (2003)
Argote, L., Ingram, P.: Knowledge transfer: a basis for competitive advantage in forms. Organ. Behav. Hum. Decis. Process. 82, 150–169 (2000)
Argote, L., Ingram, P., Levine, J.M., Moreland, R.L.: Knowledge transfer in organizations: leraning from the experiences of others. Organ. Behav. Hum. Decis. Process. 82, 1–8 (2000)
Nonaka, I.: A dynamic theory of organizational knowledge creation. Organ. Sci. 5, 14–37 (1994)
Nonaka, I., Takeuchi, H.: The Knowledge-Creating Company. Oxford University Press, New York (1995)
Davenport, T.H., DeLong, D.W., Beers, M.C.: Successful knowledge managemnet projects. Sloan Manage. Rev. 39, 43–52 (1998)
Davenport, T.H., Prusak, L.: Working Knowledge: How Organizations Manage What They Know. Harvard Business Press, Cambridge (1998)
Alavi, M., Tiwana, A.: Knowledge integration in virtual teams: the potential role of KMS. J. Am. Soc. Inf. Sci. Technol. 53, 1029–1037 (2002)
Alavi, M., Leidner, D.E.: Review: knowledge management systems: conceptual foundation and research issues. MIS Q. 25, 107–136 (2001)
Bera, P., Burton-Jones, A., Wand, Y.: Guidelines for designing visual ontologies to support knowledge identification. MIS Q. 35, 883–908 (2011)
Jukic, N., Nestorov, S.: Comprehensive data warehouse exploration with qualified association-rule mining. Decis. Support Syst. 42, 859–878 (2006)
Chen, Y.-J.: Development of a method for ontology-based empirical knowledge representation and reasoning. Decis. Support Syst. 50, 1–20 (2010)
Chen, G., Liu, H., Yu, L., Wei, Q., Zhang, X.: A new approach to classification based on association rule mining. Decis. Support Syst. 42, 674–689 (2006)
Delen, D.: A comparative analysis of machine learning techniques for student retention management. Decis. Support Syst. 49, 498–506 (2010)
Kuo, R.J., Lin, L.M.: Application of a hybrid of genetic algorithm and particle swarm optimization algorithm for order clustering. Decis. Support Syst. 49, 451–462 (2010)
Chua, C.E.H., Storey, V.C., Chiang, R.H.L.: Deriving knowledge representation guidelines by analyzing knowledge engineer behavior. Decis. Support Syst. 54, 304–315 (2012)
Wu, H., Gordon, M.D., Fan, W.: Collective taxonomizing: a collaborative approach to organizing document repositories. Decis. Support Syst. 50, 292–303 (2010)
Choi, S.Y., Lee, H., Yoo, Y.: The impact of information technology and transactive memory systems on knowledge sharing, application, and team performance: a field study. MIS Q. 34, 855–870 (2010)
Jackson, P., Klobas, J.: Transactive memory systems in organizations: implications for knowledge directories. Decis. Support Syst. 44, 409–424 (2008)
Wang, J., Gwebu, K., Shanker, M., Troutt, M.D.: An application of agent-based simulation to knowledge sharing. Decis. Support Syst. 46, 532–541 (2009)
Dong, S., Johar, M., Kumar, R.: Understanding key issues in designing and using knowledge flow networks: an optimization-based managerial benchmarking approach. Decis. Support Syst. 53, 646–659 (2012)
Mohan, K., Jain, R., Ramesh, B.: Knowledge networking to support medical new product development. Decis. Support Syst. 43, 1255–1273 (2007)
He, W., Wei, K.-K.: What drives continued knowledge sharing? an investigation of knowledge-contribution and -seeking beliefs. Decis. Support Syst. 46, 826–838 (2009)
Eryarsoy, E., Koehler, G.J., Aytug, H.: Using domain-specific knowledge in generalization error bounds for support vector machine learning. Decis. Support Syst. 46, 481–491 (2009)
Hsu, I.-C., Sabherwal, R.: Relationship between intellectual capital and knowledge management: an empirical investigation. Decis. Sci. 43, 489–518 (2012)
Richardson, S.M., Courtney, J.F., Haynes, J.D.: Theoretical principles for knowledge management system design: application to pediatric bipolar disorder. Decis. Support Syst. 42, 1321–1337 (2006)
Vapnik, V.: Statistical Learning Theory. Wiley, New York (1998)
Vapnik, V.: The Nature of Statistical Learning Theory. Springer, New York (2000)
Vapnik, V.N.: Estimation of Dependences Based on Empirical Data. Springer, New York (1982)
Quinlan, J.R.: Induction of decision trees. Mach. Learn. 1, 81–106 (1986)
Quinlan, J.R.: Learning with continuous classes. In: Adams, N., Sterling, L. (eds.) Proceedings of the 5th Austrailian Joint Conference on Artificial Intelligence (AI 1992), vol. 92, pp. 343–348. World Scientific, Singapore (1992)
Quinlan, J.R.: C45: Programs for Machine Learning. Morgan Kaufmann, San Mateo (1993)
Baesens, B., Setiono, R., Mues, C., Vanthienen, J.: Using neural network rule extraction and decision tables for credit-risk evaluation. Manage. Sci. 49, 312–329 (2003)
Hastie, T., Tibshirani, R., Friedman, J.: The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer, New York (2001)
Witten, I.H., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann Publishers, San Francisco (2000)
Peng, Y., Kou, G., Shi, Y., Chen, Z.: A multi-crieria convex quadratic programming model for credit analysis. Decis. Support Syst. 2008, 1016–1030 (2008)
Martens, D., Bruynseels, L., Baesens, B., Willekens, M., Vanthienen, J.: Predicting going concern opinion with data mining. Decis. Support Syst. 45, 765–777 (2008)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Eom, S.B. (2016). Knowledge Management as an Emerging Field of Business Intelligence Research: Foundational Concepts and Recent Developments. In: Liu, S., Delibašić, B., Oderanti, F. (eds) Decision Support Systems VI - Addressing Sustainability and Societal Challenges. ICDSST 2016. Lecture Notes in Business Information Processing, vol 250. Springer, Cham. https://doi.org/10.1007/978-3-319-32877-5_10
Download citation
DOI: https://doi.org/10.1007/978-3-319-32877-5_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-32876-8
Online ISBN: 978-3-319-32877-5
eBook Packages: Computer ScienceComputer Science (R0)