Knowledge management
Farshid Bigdeli; Mohammadreza Dalvi Esfahan; Saeed Aghasi
Abstract
The purpose of this research is to model supply chain performance management based on information dashboards in private banks. The data was derived from in-depth and semi-structured interviews with 12 managers of five private banks in the country, which were based on purposeful sampling and continued ...
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The purpose of this research is to model supply chain performance management based on information dashboards in private banks. The data was derived from in-depth and semi-structured interviews with 12 managers of five private banks in the country, which were based on purposeful sampling and continued until reaching theoretical saturation. The validity of the research data was checked and confirmed by going back to the participants and external auditors. Data analysis was done based on the Strauss and Corbin model in the form of open, axial, and selective coding in the Atlas TI8 software. Modeling of supply chain performance management based on information dashboard in private banks including causal factors (intensification of competition, supply chain inefficiency, banking system challenges), intervening (appropriate corrective measures, organizational strategies, banking service challenges), platforms (quality management services, facilitating elements, and action management), strategies (development strategy, partnership strategy, discovery strategy, and focus strategy) and consequences (correction of performance evaluation system, financial-administrative function, performance improvement and innovation and supply chain development). To succeed in developing and changing their business model, they must correctly recognize factors affecting the supply chain of banking services in the fourth industrial revolution and digital revolution and successfully transition to the new technological era. A supply chain refers to the flow of materials, information, funds received from customers, and services from suppliers of raw materials through factories and warehouses to final customers, and includes organizations and processes that create goods, information, and services and deliver them to intended consumers.
Data mining
Taimour Jafarian Dehkordi; Mohammadreza Dalvi Esfahan; Saeed Aghasi
Abstract
Purpose: The current research was conducted by designing the knowledge-based organizational satisfaction modeling with a data-driven approach using a qualitative and quantitative method of grounded theory and data mining techniques.methods: The data was taken from in-depth and semi-structured interviews ...
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Purpose: The current research was conducted by designing the knowledge-based organizational satisfaction modeling with a data-driven approach using a qualitative and quantitative method of grounded theory and data mining techniques.methods: The data was taken from in-depth and semi-structured interviews with 25 general managers of social security insurance departments in the provinces of the country, based on purposeful sampling. The validity of the research data was checked and confirmed by going back to the participants and external auditors. In the data mining section, registered data and the organization's database were used. Using the data recorded in the Clementine software, the happiness and unhappiness of the employees in the organization were categorized.Findings: The results showed that the model of organizational happiness in the social security organization was identified at three levels, group, individual and organization, including causal factors, intervenors, platforms, strategies and finally consequences. Also, the status of employees was determined based on the proposed model of happiness according to the collected data. Finally, the data mining model showed classification with 66% accuracy for happy and unhappy employees.Conclusion: The human resource management approach based on organizational data leads to correct decision making in organizational performance. The more transparent the collected data is, the more accurately the state of the organization can be predicted. Also, based on the proposed model and implementation in the form of data mining, it is possible to estimate the number of happy employees.
Knowledge management
Farshid Bigdali; Mohammadreza Dalvi Esfahan; Saeed Aghasi
Abstract
This research aimed to create new knowledge on supply chain performance management in private banks., It was performed in two phases using a thematic analysis under the qualitative methodology and the correlational analysis technique using structural equation modeling in the quantitative part. The data ...
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This research aimed to create new knowledge on supply chain performance management in private banks., It was performed in two phases using a thematic analysis under the qualitative methodology and the correlational analysis technique using structural equation modeling in the quantitative part. The data was obtained from in-depth and semi-structured interviews with 12 managers of five private banks in Iran, based on purposeful sampling and continued until reaching theoretical saturation. The statistical population in the quantitative part included all 235 managers of Mellat Bank's branches, from which 144 were selected by simple random sampling. A researcher-made questionnaire was used to collect the data for the first part. The validity was assessed by factor analysis of the extracted components. A reliability value of 0.7 was obtained using Cronbach's alpha. The factor load of causal factors on the main category was 0.53, contextual factors on strategies were 0.54, intervening factors on strategies were 0.37, the main category on strategies was 0.47, and finally, the factor load of strategies on consequences was 0.71. A performance measurement system is a framework for measuring supply chain performance. To create knowledge in the supply chain based on research findings, one must first know what knowledge is important to maintain and how it can be maintained effectively.
Knowledge management
Noorolla Majidian Dehkordi; Mohammadreza Dalvi Esfahan; Sayyed Rasool Aghadavood
Abstract
This fundamental-applied research aims to design and test the organizational embeddedness model based on the knowledge application with a mixed approach using grounded theory (GT). In the qualitative section, data is derived from in-depth interviews conducted with 25 high-ranking and experienced managers ...
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This fundamental-applied research aims to design and test the organizational embeddedness model based on the knowledge application with a mixed approach using grounded theory (GT). In the qualitative section, data is derived from in-depth interviews conducted with 25 high-ranking and experienced managers of the Central Bank, who were selected based on snowball sampling. In the quantitative section, according to Cochran's formula, 346 out of 3500 people were selected by stratified random method. Qualitative data analysis was done using the grounded theory analysis method and quantitative data was analyzed by confirmatory factor analysis method with AMOS and SPSS software. The results showed that the dimensions and components of organizational embeddedness in the Central Bank can be classified into 24 main dimensions and 51 components, which include 6 main groups: causal conditions, core category, strategies, consequences, contextual conditions, and intervening conditions. Each group has 4 dimensions: individuals, group, organizational and environmental. The results indicated that paying attention to the financial needs of employees in order to create motivation, maintain their job position, and encourage families can be considered as a general solution.
Taimour JafarianDehkordi; Mohammadreza Dalvi Esfahan; Saeed Aghasi
Abstract
The purpose of this research was to present an organizational vitality model based on information management and human resource data. Human resource information management is a process that seeks to increase organizational capability through the organization's employees, which is considered one of the ...
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The purpose of this research was to present an organizational vitality model based on information management and human resource data. Human resource information management is a process that seeks to increase organizational capability through the organization's employees, which is considered one of the most important success factors. The research was designed in a mixed qualitative and quantitative method and benefited from the foundation's data strategy. In the qualitative part, the data obtained from in-depth interviews with 25 general managers of social security of the provinces of the selected country were based on purposeful sampling. In the quantitative part, 376 people from the lower-level employees of this organization were selected in different regions of the country by stratified random method and answered the questions of the researcher-made questionnaire. Qualitative data were analyzed using the Grounded Theory and the quantitative data were analyzed through confirmatory factor analysis using SPSS and AMOS software. The results obtained from the qualitative phase of the research led to the design of a proposed conceptual model of organizational vitality in the social security organization, and in the quantitative phase, using path analysis, validity of the conceptual model was. evaluated. From the practical point of view, the proposed model can be implemented by social security organization managers to create vitality among employees in order to reduce depression and boost productivity.
