Identifying and prioritizing of effective constructs in readiness of knowledge management implementation by using fuzzy analytic hierarchy process (AHP)

Purpose – In recent decades, many managers have conceived the radical role of knowledge in acquiring a competitive advantage and pursuing organizational strategic goals. Therefore, knowledge management is now a competitive requirement in organizations. However, if proper infrastructures and necessary prerequisites are not provided for executing such a process, the result will be nothing except failure and resource waste. Therefore, it is necessary that organizations identify effective factors for their readiness in executing knowledge management. The purpose of this study is identifying and prioritizing of effective constructs in readiness of knowledge management implementation by using fuzzy analytic hierarchy process (AHP). Design/methodology/approach – In the present study, the relevant literature is initially reviewed and then seven factors and 19 affecting indicators on knowledge management readiness are identified by using a questionnaire for knowledge management elites which also constitute the research conceptual model. Finally, the weight of each factor is determined by fuzzy analytical hierarchy process and the readiness priority and preference of each factor are discussed. Findings – The results of fuzzy analytic hierarchy process show that the management factor is recognized as the most effective factor in knowledge management execution readiness. Research limitations/implications – The model proposed in this study is applicable to the academic culture. Modification of the proposed model may be needed in applying this model to other environments. Originality/value – As limited studies have been carried out on identifying and prioritizing of effective constructs in readiness of knowledge management implementation by using fuzzy analytic hierarchy process, the findings of this study will be useful in identifying and assessing the main components in readiness of knowledge management implementation in the research and training centers.