Abstract
Successful implementation of Knowledge Management (KM) involves on identification the most effective associated factors. Hence well-thought-out of organization strategy often is absent in implementing KM. Moreover resource restrictions lead us to prioritize them. Consequently, organizations are looking to prioritize the projects for deploying KM in order to invest on the infrastructural projects based on that. The purpose of this study is on identifying, classifying and ranking the enablers related to four key factors of people, process, leadership and information technology based on two given KM strategies. The quantitative approach was utilized in collecting data through questionnaire. In order to approve and classify the identified enablers in each key factor, a quantitative approach was utilized in collecting data through a few justifiable reliable questionnaires. We designed them using Delphi method and distributed among organization experts. Significant factors extracted from applying an exploratory factor analysis using the SPSS package. In order to prioritize the extracted enabler’s a fuzzy multi- criteria decision making technique is then applied. The results shows that among thirty identified enablers in personalization strategy, twenty seven ones and among the nineteen identified enablers in codification strategy, sixteen of are significant. Accordingly by ranking the factors and enablers in nine management organizations of the National Iranian Oil Company (NIOC), the leadership factor in personalization strategy and also information technology in codification strategy have higher ranks by weighing 0.259 and 0.267respectively.
Highlights
Knowledge Management (KM) is a set of processes to transform data and information into valuable knowledge which includes creating, discovering, organizing, applying, sharing and replenishment of knowledge (Knapp, 1998; Duffy, 2000)
KM factors based on personalization strategy: enablers were ranked among the 9 management
Based of them when the KMO Weight (FSAW) as a multi-attribute decision making value is more than 0.5, the data is appropriate for factor techniques applied for prioritizing process
Summary
Knowledge Management (KM) is a set of processes to transform data and information into valuable knowledge which includes creating, discovering, organizing, applying, sharing and replenishment of knowledge (Knapp, 1998; Duffy, 2000). In another definition, Plessis and Boon declare, KM is a planned, structured trend for creating, sharing, using and profit-making knowledge as an organizational asset for promoting the company capability and better efficacy in delivering products and services toward customers’ profit and organization commercial strategies (Dalfard et al, 2012). Usually what is less considered by researchers in identifying the factors is the strategy and approach of the company about KM implementation
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