Big data
Sadegh Tayebi; Alaedin Etemad Ahari; Fariba Hanifi
Abstract
The research aims to apply big data in providing an effective model of education in serving the knowledge workers of the municipality. The research method was integrated research (quantitative and qualitative). The components and dimensions of the subject were examined in the form of documentary studies ...
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The research aims to apply big data in providing an effective model of education in serving the knowledge workers of the municipality. The research method was integrated research (quantitative and qualitative). The components and dimensions of the subject were examined in the form of documentary studies and interviews and identified in the form of educational content with thematic analysis technique. To analyze the qualitative data, the theme analysis method was used using ATLAS TI software, and genetic algorithm and meta-heuristic methods were used in MINITAB software. The research tool (data collection) was the qualitative part of a semi-structured interview with 12 elites, experts, and qualified specialists of Karaj municipality. The sampling method in the qualitative part was non-probability and non-homogeneous purposeful type dependent on the criterion and in the quantitative part, it was simply random. Finally, the proposed model of in-service training for employees was designed and validated. 6 comprehensive themes (planning (comprehensive implementation), learner, teachers, content, educational environment, and infrastructure) were identified in the form of a paradigm model. The results showed that the VIS algorithm had the best performance. Algorithms CNSGA-II and MISA are almost ranked second and have shown almost similar performances. NSGA-II algorithm is ranked next. The NNIA algorithm is in the next position in terms of performance, and the worst performance is assigned to the NRGA algorithm. Organizational innovation based on big data and organizational training improves the performance of knowledge workers and creativity.
Knowledge management
Mohammad Hassanzadeh; Samaneh Rahimian
Abstract
The success of organizations depends more on knowledge assets than physical assets. Knowledge management transforms the organization into a knowledge-based organization, thus institutionalizing the importance of knowledge in all the organization's processes. This research investigates the role of knowledge ...
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The success of organizations depends more on knowledge assets than physical assets. Knowledge management transforms the organization into a knowledge-based organization, thus institutionalizing the importance of knowledge in all the organization's processes. This research investigates the role of knowledge management in improving the performance of the Tehran Municipality. In this way, according to the organizational scale of Tehran municipality, which has organizational levels including line and staff (22 urban areas, affiliated organizations and companies, specialized vice-chancellors) in its strategic and functional areas. Therefore, qualitative data were collected using the available information and documents related to establishing knowledge management and descriptive strategy, Then quantitative data was collected using questionnaire tools and survey strategy. By using the method of thematic analysis, 13 upstream documents of Iran's administrative system and ten management standards and frameworks were reviewed and analyzed for the necessity of implementing knowledge management solutions therefore the infrastructures for establishing knowledge management in the Tehran municipality were identified. Based on the results, the components of upstream documents affecting the establishment of knowledge management in Tehran Municipality are communication, knowledge-based governance, technology, knowledge creation, futurology, culture, human resources, organizational processes, and knowledge processes. Also, knowledge management barriers are divided into eight sections: technological barriers, cultural barriers, management barriers, organizational/structural barriers, human barriers, content barriers, implementation barriers, and legal barriers.
