جستجوی مقالات مرتبط با کلیدواژه « معماری دانش » در نشریات گروه « مدیریت »

Organizational knowledge architecture is one of the most important tools for any organization to achieve progress and productivity. Therefore, the aim of the current research is to systematically review organizational knowledge architecture researches with a meta-composite method.

The current research is applied in terms of purpose and qualitative in terms of the nature of the data. In order to search and select suitable articles, 131 researches were found and 46 of them had defects or overlapped with each other. After removing the mentioned items, in total, 85 studies were selected, most of which were dedicated to articles.

All the articles and reports were screened using filter based on title, filter based on abstract and filter based on full text. CASP tool was used to perform this screening. The findings of the research indicate that competition is a stable advantage, agile organization, learning organization and leading organization are the four main consequences of organizational knowledge architecture.

For this aim, according to the findings, it can be acknowledged that the quality and speed of response, adaptability, continuous increase of people's ability, promoting systemic thinking, the ability to transfer knowledge in the organization, uniqueness, creating value for the customer, sharing goals or employees and The high morale of organizational employees is one of the most important consequences of organizational knowledge architecture that organizations can have by implementing organizational knowledge architecture.

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.