Designing and Explaining Human Resource Knowledge Architecture Model in Knowledge-Based Organizations

This research is aimed at designing and explaining human resource knowledge architecture model in knowledge-based organizations using interpretive structural approach. It is based on mixed method including both qualitative and quantitative sections. The research is an applied one in terms of purpose, which follows descriptive survey method in terms of nature and methodology. The statistical population of this study is composed of knowledge-based companies of Lurestan province of which 30 experts are selected as sample according to theoretical adequacy and purposive sampling method. Data collection tool contains semi-structured interviews in the qualitative part of the research and a questionnaire in the quantitative section. To identify the factors, the data and information obtained from the interviews are analyzed using Atlas.ti software as well as the database coding method based on Strauss and Corbin approach, as a result of which the components and indicators of HRM are identified. In the quantitative part of the research, using the Matlab software and the interpretive structural modeling method, the final model of the research is designed. The findings of the study include HR architecture indicators and components of HRM model in knowledge-based organizations.