The main purpose of this paper is to conduct an in-depth theoretical review and analysis for the fields of knowledge management (KM) and investigate the future research trend about KM.
At first, few theoretical basis about KM which include definitions and stages about KM have been summarized and analyzed. Then a comprehensive review about the major approaches for designing the KM system from different perspectives including knowledge representation and organization, knowledge sharing and performance measure for KM has been conducted.
The contributions of this paper will be useful for both academics and practitioners for the study of KM.
For this research, the focus is on conducting an in-depth theoretical review and analysis of KM.
Ajmal, M.M. and Koskinen, K.U. (2008), “Knowledge transfer in project-based organizations: an organizational culture perspective”, Project Management Journal, Vol. 39 No. 1, pp. 7-15.
Arisha, A. and Ragab, M.A.F. (2013), “Knowledge management and measurement: a critical review”, Journal of Knowledge Management, Vol. 17 No. 6, pp. 873-901.
Argote, L. and Ingram, P. (2000), “Knowledge transfer: a basis for competitive advantage in firms”, Organizational Behavior and Human Decision Processes, Vol. 82 No. 1, pp. 150-169.
Asrar-ul-Haq, M. and Anwar, S. (2016), “A systematic review of knowledge management and knowledge sharing: trends, issues, and challenges”, Cogent Business & Management, Vol. 3 No. 1, p. 1127744.
Booker, L.D., Bontis, N. and Serenko, A. (2008), “The relevance of knowledge management and intellectual Capital research”, Knowledge and Process Management, Vol. 15 No. 4, pp. 235-246.
Castrogiovanni, G., Ribeiro-Soriano, D., Mas-Tur, A. and Roig-Tierno, N. (2016), “Where to acquire knowledge: adapting knowledge management to financial institutions ⋆”,Journal of Business Research, Vol. 69 No. 5, pp. 1812-1816.
Changchit, C., Holsapple, C.W. and Viator, R.E. (2001), “Transferring auditors’ internal control evaluation knowledge to management”, Expert Systems with Applications, Vol. 20 No. 3, pp. 275-291.
Chen, A.P. and Chen, M.Y. (2005), “A review of survey research in knowledge management performance measurement: 1995–2004”, Journal of Universal Knowledge Management, No. 1, pp. 4-12.
Che Cob, Z., Abdullah, R., Mohd Drus, S. and Ali, N.A. (2016), System Requirement Specifications for a Semantic Knowledge Management System for Collaborative Learning Environment.
Cob, C., Abdullah, R., Risidi, H. and Mohd, N.M. (2015), “Preliminary study on semantic knowledge management model for collaborative learning”, ARPN Journal of Engineering and Applied Sciences, Vol. 10 No. 2, pp. 442-450.
Dan, P. and Sunesson, K. (2012), “Knowledge transfer, knowledge sharing and knowledge barriers – three blurry terms in km”, Electronic Journal of Knowledge Management, Vol. 10 No. 1, pp. 82-92.
Dayan, R. and Evans, S. (2006), “KM your way to CMMI”, Journal of Knowledge Management, Vol. 10 No. 1, pp. 69-80.
Duffy, J. (2000), “Knowledge management: to be or not to be?”, Information Management Journal, Vol. 34 No. 1, pp. 64-67.
Epetimehin, F.M. and Ekundayo, O. (2011), “Organisational knowledge management: survival strategy for Nigeria insurance industry”, Interdisciplinary Review of Economics and Management, Vol. 1 No. 2, pp. 9-15.
Hai, Z. (2011), “Semantic linking through spaces for cyber-physical-socio intelligence: a methodology ⋆”, Artificial Intelligence, Vol. 175 No. 5, pp. 988-1019.
Hubert, S.O. (1996), “Tacit knowledge: the key to the strategic aliment of intellectual capital”, Strategy and Leadership, Vol. 24 No. 2, pp. 10-16.
Hung, S.Y., Durcikova, A., Lai, H.M. and Lin, W.M. (2011), “The influence of intrinsic and extrinsic motivation on individuals’ knowledge sharing behavior”, International Journal of Human-Computer Studies, Vol. 69 No. 6, pp. 415-427.
Johannsen, C.G. (2000), “Total quality management in a knowledge management perspective”, Journal of Documentation, Vol. 56 No. 1, pp. 42-54.
Kakabadse, N.K., Kakabadse, A. and Kouzmin, N. (2003), “Reviewing the knowledge management literature: towards a taxonomy”, Journal of Knowledge Management, Vol. 7 No. 4, pp. 75-91.
Kravchenko, Y., Kursitys, I. and Bova, V. (2017), The Development of Genetic Algorithm for Semantic Similarity Estimation in Terms of Knowledge Management Problems.
Ma, W.W.K. and Yuen, A.H.K. (2011), “Understanding online knowledge sharing: an interpersonal relationship perspective”, Computers & Education, Vol. 56 No. 1, pp. 210-219.
Makhsousi, A., Sadaghiani, J. and Amiri, M. (2013), “A review on recent advances on knowledge management implementations”, Management Science Letters, Vol. 3 No. 3, pp. 861-866.
Matayong, S. and Mahmood, A.K. (2013), “The review of approaches to knowledge management system studies”, Journal of Knowledge Management, Vol. 17 No. 3, pp. 472-490.
Mihalca, R., Uta, A., Intorsureanu, I. and Andreescu, A.I. (2008), “Knowledge management in e-learning systems”, Informatica Economica Journal, Vol. 12 No. 2, pp. 365-369.
Newell, S., Tansley, C. and Huang, J. (2004), “Social capital and knowledge integration in an ERP project team: the importance of bridging and bonding”, British Journal of Management, Vol. 15 No. Suppl 1, pp. S43-S57.
Nonaka, I. (1994), “A dynamic theory of organizational knowledge creation”, Organization Science, Vol. 5 No. 1, pp. 14-37.
Omotayo, F.O. (2015), “Knowledge management as an important tool in organisational management: a review of literature”, Library Philosophy & Practice.
Palacios, M.D. and Garrigos, S.F. (2006), “The effect of knowledge management practices on firm performance”, Journal of Knowledge Management, Vol. 10 No. 3, pp. 143-156.
Paulin, D. and Suneson, K. (2012), “Knowledge transfer, knowledge sharing and knowledge barriers – three blurry terms in KM”, Electronic Journal of Knowledge Management, Vol. 10 No. 1.
Pirkkalainen, H. and Pawlowski, J. (2013), “Global social knowledge management: from barriers to the selection of social tools”, Electronic Journal of Knowledge Management, Vol. 11 No. 1, pp. 3-17.
Ragab, M.A.F. and Arisha, A. (2013), “Knowledge management and measurement: a critical review”, Journal of Knowledge Management, Vol. 17 No. 6, pp. 873-901.
Serenko, A. (2013), “Meta-analysis of scientometric research of knowledge management: discovering the identity of the discipline”, Journal of Knowledge Management, Vol. 17 No. 5, pp. 773-812.
Shannak, R.O. (2009), “Measuring knowledge management performance”, European Journal of Scientific Research, Vol. 35 No. 2, pp. 242-253.
Soltani, Z. and Navimipour, N.J. (2016), “Customer relationship management mechanisms: a systematic review of the state of the art literature and recommendations for future research”, Computers in Human Behavior, Vol. 61, pp. 667-688.
Swacha, J. (2015), “Gamification in knowledge management: motivating for knowledge sharing”, Polish Journal of Management Studies, p. 12.
Tohidinia, Z. and Mosakhani, M. (2010), “Knowledge sharing behavior and its predictors”, Industrial Management & Data Systems, Vol. 110 No. 4, pp. 611-631.
Tseng, K.H., Chang, C.C., Lou, S.J., Tan, Y. and Chiu, C.J. (2012), “How concept-mapping perception navigates student knowledge transfer performance[J]”,Educational Technology & Society, Vol. 15 No. 1, pp. 102-115.
Tseng, S.M. (2008), “Knowledge management system performance measure index”, Expert Systems with Applications, Vol. 34 No. 1, pp. 734-745.
Tzortzaki, A.M. and Mihiotis, A. (2014), “A review of knowledge management theory and future directions”, Knowledge and Process Management, Vol. 21 No. 1, pp. 29-41.
Wang, J., Ding, D., Liu, O. and Li, M. (2016), “A synthetic method for knowledge management performance evaluation based on triangular fuzzy number and group support systems”, Applied Soft Computing, Vol. 39, pp. 11-20.
Wang, Y. and Zheng, J. (2010), “Knowledge management performance evaluation based on triangular fuzzy number”, Procedia Engineering, Vol. 7 No. 8, pp. 38-45.
Wang, K.Y., Tan, L.P., Cheng, S.L. and Wong, W.P. (2015), “Knowledge management performance measurement: measures, approaches, trends and future directions”, Information Development, Vol. 31 No. 3.
Tingwei Gao, Yueting Chai and Yi Liu. Published in International Journal of Crowd Science. Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode