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Modeling influence of change readiness on knowledge acquisition process: A case study
Affiliation:1. CENTRUM Católica Graduate Business School, Lima, Peru;2. CENTRUM Católica Graduate Business School (CCGBS), Lima, Peru;3. Pontificia Universidad Católica del Perú, Lima, Peru;4. Pontificia Universidad Católica del Perú (PUCP), Lima, Peru;5. Pontifical Catholic University of Peru, Lima, Peru;6. PUCP, Lima, Peru;7. South Tehran Branch, Department of IT Management, Faculty of Management, Islamic Azad University, Tehran, Iran;1. Laboratory of Analytical Chemistry and Applied Ecochemistry, Department of Green Chemistry and Technology, Ghent University, Coupure Links 653, 9000, Ghent, Belgium;2. Center for Microbial Ecology and Technology, Department of Biochemical and Microbial Technology, Ghent University, Coupure Links 653, 9000, Ghent, Belgium;3. Korea Biochar Research Center, APRU Sustainable Waste Management Program and Division of Environmental Science and Ecological Engineering, Korea University, Seoul, Republic of Korea;4. Center for Ordered Materials, Organometallics and Catalysis, Department of Chemistry, Ghent University, Krijgslaan 281 (S3), 9000, Ghent, Belgium
Abstract:Change readiness (CR) has important impact on the success of knowledge acquisition (KA). So it is necessary for managers to know how KA is shaped by CR elements. Review of the extant literature shows a paucity in this regard specially regarding intra-organizational rather than inter-organizational level. Therefore, to bridge this gap, this study aims to present a fuzzy cognitive map (FCM) model in which interactions among CR elements for KA are identified. To do so, first, elements for measuring CR for KA were extracted from the relevant literature. Then, the identified elements were screened through distributing the first designed questionnaire among the select sample of survey organization. Then, the second questionnaire was used to measure the select elements and find the relation between them, using FCM and Mental Modeler Software. To improve CR for KA, some scenarios are suggested by the managers and the impact of each scenario on the whole CR elements is identified using sensitive analysis of the FCM model. After comparing the scenarios, it is concluded improving more elements in one scenario does not necessarily result in better impact on the whole CR for KA. This is due to the interaction among the elements which sometimes could be negative. The proposed model might help managers of the survey organization evaluate their CR improvement plans for KA before taking any actions. In addition, this study can give an idea to other organizations and industries to apply this approach according to their own relevant criteria. This study is among the first in its kind which presents a model using FCM method in which the interactions among the CR elements influencing KA are considered.
Keywords:Knowledge Acquisition (KA)  Fuzzy Cognitive Map (FCM)  Change Readiness (CR)  Knowledge management (KM)  Scenario analysis
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