Knowledge Management Implementation: A Predictive Model Using an Analytical Hierarchical Process

被引：14
作者：
Anand A. [1 ]
Kant R. [2 ]
Patel D.P. [2 ]
Singh M.D. [1 ]
机构：
[1] Department of Mechanical Engineering, Motilal Nehru National Institute of Technology, Allahabad
[2] Department of Mechanical Engineering, S. V. National Institute of Technology, Surat
来源：
Journal of the Knowledge Economy | 2015年 / 6卷 / 1期
关键词：
Analytical hierarchical process; KME; Knowledge management; Priority weights;
D O I：
10.1007/s13132-012-0110-y
中图分类号：
学科分类号：
摘要：
The aim of this paper is to understand knowledge management enablers (KMEs) and to identify priority weights to evaluate the strength of the corresponding factors present before knowledge management (KM) implementation. It uses analytic hierarchy process (AHP) methodology to prioritize KMEs that support the KM implementation in organizations. Further, a questionnaire-based survey was also conducted to rank the KMEs. These KMEs were selected from literature reviews and expert discussion. The AHP method, which has the ability to structure complex, multiperson, multiattribute, and multiperiod problem hierarchically, has been used. Pairwise comparisons of KMEs (usually, alternatives and attributes) can be established using a scale indicating the strength with which one KME dominates another with respect to a higher level KME. This scaling process can then be translated into priority weights. The AHP can be a useful guide in the decision-making process of KM implementation. It has been observed that KME11 has high priority weights. © 2012, Springer Science+Business Media New York.
引用
收藏
页码：48 / 71
页数：23
相关论文
共 73 条
  • [41] O'Dell C., Grayson C.J., If only we knew what we know: the transfer of internal knowledge and best practice, (1998)
  • [42] O'Dell C., Wiig K., Odem P., Benchmarking unveils emerging knowledge management strategies, Benchmark Int J, 6, 3, pp. 202-212, (1999)
  • [43] Pillania R.K., IT strategy for knowledge management in Indian automotive components for SMEs, Knowl Process Manag, 15, 3, pp. 203-210, (2008)
  • [44] Plessis M., Knowledge management: what makes complex implementations successful?, J Knowl Manag, 11, 2, pp. 91-101, (2007)
  • [45] Ra J.W., Chainwise paired comparisons, Decis Sci, 30, 2, pp. 581-599, (1999)
  • [46] Rajagopal P., An innovation-diffusion view of implementation of enterprise resource planning (ERP) systems and development of a research model, Inf Manag, 40, pp. 87-114, (2002)
  • [47] Ramdain B., Kawalik P., KM and enterprise systems adoption by SME: predicting SMEs adoption of enterprise systems, J Enterp Inf Manag, 22, 1-2, pp. 10-24, (2009)
  • [48] Rungasamy S., Antony J., Ghosh S., Critical success factors for SPC implementation in UK small and medium enterprises: some key findings from a survey, TQM Mag, 14, 4, pp. 217-224, (2002)
  • [49] Ryan S.D., Prybutok V.R., Factors affecting knowledge management technologies: a discriminative approach, J Comput Inf Syst, 41, 3, pp. 31-37, (2001)
  • [50] Saaty T.L., The analytic hierarchy process, (1980)
12345678