Purpose
– This paper aims to find and rank the barriers of the four knowledge management (KM) processes including generation, storage, distribution and application in the gas and petroleum sector.
Design/methodology/approach
– Reviewing the literature of KM and organizational learning, this paper extracted all of the barriers which impede KM processes. Then it designed a questionnaire for validating, ranking and categorizing barriers. Totally, 190 completed questionnaires were gathered from 26 gas and petroleum companies in Iran. Some statistical tests such as T, Friedman, Kruskal–Wallis and Mann–Whitney were used for analyzing data.
Findings
– Findings reviewed the current literature of KM barriers, validated and ranked the barriers of knowledge generation, storage, distribution and application separately. The importance of knowledge generation and knowledge application barriers were significantly different between gas and petroleum companies. Hence they were disjointedly ranked for gas and petroleum. Finally, KM barriers were ranked according to their contribution to KM processes and the average mean of their importance in KM processes.
Practical implications
– From the practical point of view, this paper suggests managers of gas and petroleum companies to emphasize solving high-priority barriers according to the KM process which they are focused on. Furthermore, the study provides a checklist that can be used as an assessment tool for evaluating KM processes considering barriers.
Originality/value
– This paper finds the importance of each barrier for each of the four KM processes and ranks the “critical barriers” according to their contribution to four KM processes in the gas and petroleum sector.
PurposeThe aim of this paper is to develop, test and improve a method that draws upon business process improvement literature and combines it with knowledge management approaches for modeling and analyzing knowledge‐intensive business processes.Design/methodology/approachAnalyzing and integrating previous meta models served in knowledge oriented business process researches, a preliminary meta model was developed for modeling knowledge‐intensive business processes. Then an initial version of Proper Arrangement of Knowledge Management Processes (PAKMP) framework was developed according to the knowledge management processes approaches. Third round of interviews with process 137 members were conducted in order to test applicability and completeness of both preliminary meta model and initial version of PAKMP framework in order to improve them. In addition, a five‐steps analysis method achieved through case study which is based on the application of both final Meta model and PAKMP framework. In fact this five‐steps method was applied in Tehran's Municipality which redounded to improve preliminary meta model and initial version of PAKMP framework and endorsed the applicability of the proposed method in real world.FindingsThis paper has a contribution in enriching the literature related to integrating KM efforts and BPM efforts by presenting a five‐steps analysis method and testing it in a real case. This method considers both KM and business process management points of view.Research limitations/implicationsThe general applicability of the method due to the weak generalization of the single case study is a limitation.Originality/valueThis paper combines the advantages of the business process improvement and knowledge management approaches and suggests a practical method for modeling and analyzing the knowledge management status in knowledge‐intensive business processes. After analysis, managers should put emphasis on improving the arrangement of KM processes for critical knowledge objects which led to improve the performance of knowledge‐intensive business process trough removing KM problems. The paper concludes by suggesting some topics for future research.
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