Javad Masoumi; Zahra Abazari; Zohreh Mir Hosseini
Abstract
Purpose: This study aims to explore the development and implementation of knowledge management (KM) in Iranian government-affiliated research centers. The primary focus is on identifying key factors, challenges, and opportunities in adopting effective KM practices, with the goal of proposing strategic ...
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Purpose: This study aims to explore the development and implementation of knowledge management (KM) in Iranian government-affiliated research centers. The primary focus is on identifying key factors, challenges, and opportunities in adopting effective KM practices, with the goal of proposing strategic frameworks and practical recommendations to optimize KM processes in these organizations.Method: A qualitative research design was employed, utilizing a population of scientific articles on KM in Iranian research centers. Through purposive sampling, 55 articles were selected for analysis. The primary tool used was a “Document Review Checklist”. Data were analyzed using a systematic content analysis method, which facilitated the identification of recurring themes and patterns related to KM implementation.Findings: The study identified six global themes critical to KM implementation: Maturity, Knowledge-Based Decision Making, Structural Flexibility, Knowledge-Centricity, Socialization, and Localization of Cloud Computing. While managers and experts recognized the value of KM and demonstrated a willingness to establish relevant systems, significant barriers - such as limited IT infrastructure, insufficient incentives, cultural resistance, and a lack of comprehensive policies hindered effective implementation.The findings also highlighted the importance of fostering a knowledge-sharing culture, providing continuous training, and leveraging advanced technologieslike Artificial Intelligence and localized cloud computing to enhance KM processes, data accessibility, and collaboration.Conclusion: The study concluded that nurturing an organizational culture that encourages knowledge sharing, providing adequate training and incentives, and adopting advanced technologies are essential for successful KM implementation. Additionally, leveraging international models and applying continuous improvement strategies can significantly enhance research capacities and elevate organizational performance. Addressing cultural, structural, and technological barriers is crucial for unlocking the full potential of KM in Iranian government-affiliated research centers, ultimately improving decision-making, innovation, and international collaboration.
Mila Malekolkalami; Mohammad Hassanzadeh; Atefeh Sharif; Mansour Rezghi
Abstract
Purpose: Considering the development of technology and the use of artificial intelligence in the process of knowledge management in the service sector as well as intelligent knowledge extraction, this study aims to model an intelligent knowledge extraction map to make value in organizations.
Method: ...
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Purpose: Considering the development of technology and the use of artificial intelligence in the process of knowledge management in the service sector as well as intelligent knowledge extraction, this study aims to model an intelligent knowledge extraction map to make value in organizations.
Method: This research is applied and survey. Ten influential components in knowledge extraction were identified through library study. The study sample was selected using the judgmental sampling method of five person. Using the Delphi technique, screening and evaluation of the identified components have been done. The interpretive structural model method was used to model the knowledge extraction map. The software used is EXCEL and MATLAB.
Findings: The findings show that Intelligent measurement and organization of knowledge is in the second level. Five phases have been obtained for the initial steps of the Knowledge Extraction Model in service organizations. Intelligent measurement and organization of knowledge in the first phase, identifying external factors, identifying internal factors, and Identifying necessary actions in the second phase, Organization of knowledge processes, Organizing the necessary infrastructure in the third phase, Targeting knowledge and Smart knowledge strategy in the fourth phase, and finally Monitoring and updating knowledge, and Evaluating intelligent knowledge extraction in the fifth phase are main steps in the knowledge extraction model.
Conclusion: To achieve success in the service sector, knowledge extraction is required to make managers able to decide better. To begin intelligent knowledge extraction, we need to follow five essential and initial steps to prepare the organization for this process.
MD SOLEMAN PHARCY
Abstract
The purpose of this study is to research factors associated with knowledge distribution that managers can leverage to ensure a strong innovation management process and successfully deliver technological innovations to the intended consumer. These approaches have strengths and weaknesses of their own ...
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The purpose of this study is to research factors associated with knowledge distribution that managers can leverage to ensure a strong innovation management process and successfully deliver technological innovations to the intended consumer. These approaches have strengths and weaknesses of their own about technological advances, user's reception, adaptability, and success rate within the real intelligence of generating knowledge. The learning of data access distribution- how an individual/ the organization obtains access to any individual's own and other knowledge-has emerged as a key research area from a broad and deep field of study on technology transfer and innovation, and more recently from the sector of strategic management. Increasingly, knowledge access sharing research has moved to an organizational learning perspective. Indeed, experience and research suggest that successful knowledge access sharing involves extended learning processes and not simply communication processes, as ideas associated with development and innovation need. This paper provides basic concepts of data access distribution and its means of realization
