فهرست مطالب mohsen ghadirinejadian

This research was conducted with the aim of investigating the dimensions, components and indicators of social loafing, and finally, the accuracy of the identified criteria in the form of explaining an exploratory model to reduce social loafing in technology-oriented organizations familiar with remote working, in line with improving productivity. This research is considered descriptive from the point of view of applied methodology, and Was done using a mixed method (qualitative-quantitative), extracting 5 main dimensions from 16 components and 51 indicatorsIn the qualitative section, using content analysis and interviews with 20 academic and organizational experts in the field of social loafing, the data was collected. To obtain the model in the quantitative part, the Interpretive Structural Modeling (ISM) method and a questionnaire were used. The current research spanned 18 months and involved the analysis of quantitative and qualitative data. The statistical population in the quantitative part comprised senior experts from the Informatics Services Company, the electronic technology arm of the Central Bank of Iran. Maxqda software was used to analyze the qualitative data, and SPSS and PLS software, along with path analysis, regression, and structural equations, were used to analyze the quantitative data obtained from 96 questionnaires. The qualitative and quantitative data analysis of the research identified 5 dimensions: organization, behavior, management systems, culture, and goals/strategy. Behavioral and cultural variables were identified as mediator variables. The model resulting from the ISM analysis and the use of the Mic-Mac analysis presented a 3-level model, in which the organization dimension was the most influential, and the goals/strategy dimension was recognized as the most influential dimension. Taking advantage of the results of the exploratory model of this research can practically lead to the reduction of social loafing in technology-oriented organizations affected by remote work mechanisms, and at the same time, it can increase productivity in these organizations.

This research was conducted with the aim of designing a model for reducing social loafing in governmental technology-oriented organizations with the approach of improving productivity. This research is considered descriptive from the point of view of applied methodology, and it was done using a mixed method (qualitative-quantitative), extracting 5 main dimensions from 16 components and 51 indicators. In the qualitative section using content analysis and interviews with 20 people. It was done from academic and organizational experts in the field of social loafing, and in order to obtain the model in the quantitative part, the Interpretive Structural Modeling (ISM) method and additionally a questionnaire were used. The statistical population in the quantitative part was the senior experts of the Informatics Services Company of the electronic technology arm of the Central Bank of Iran. Maxqda software was used to analyze the qualitative data and SPSS and PLS software and path analysis, regression and structural equations were used to analyze the quantitative data obtained from 96 questionnaires. The qualitative and quantitative data analysis of the research was to achieve 5 dimensions of organization, behavior, management systems, culture and goals/strategy. As mediator variable and finally behavioral and cultural variables were identified as interface variables. The model resulting from the ISM analysis and the use of the Mic-Mac analysis also resulted in presenting a 3-level model in which the organization dimension was the most influential and the goals/strategy dimension was recognized as the most influential dimension. Taking advantage of the results of the exploratory model of this research can practically lead to the reduction of social loafing in technology-oriented organizations affected by remote work mechanisms, and at the same time, it can increase productivity in these organizations.

This research was done with the aim of presenting a model of reducing social unemployment in order to improve productivity in Central Bank of J.A. This research is considered to be a practical methodology and it was done using a mixed method (qualitative-quantitative) that extracted 14 indicators of the desired pattern in the qualitative part by using content analysis and interviews with 20 academic and organizational experts in the field of social unemployment. and the Interpretive Structural Modeling (ISM) method was used to obtain the pattern in the quantitative part. The statistical population in the quantitative section included 16 research experts who were familiar with the structural modeling method. The ISM MATLAB software was also used in the data analysis. The qualitative and quantitative data analysis of the research was to achieve a ten-level model, the most influential indicators of this model are culture and efficient organizational communication and transformational leadership of challenging groups and teams, and the indicator of improving organizational responsiveness were the most influential variables of this model at the tenth level. Variables that include increasing individual productivity, improving employee motivation, increasing group and team cohesion and cooperation, strengthening employees' emotional and organizational dependence, improving organizational conditions and policies, allocating appropriate resources and technology, fostering collective orientation, evaluating and improving individual and group performance. , the reward of participation and group cooperation, the understanding of social emptiness from the organizational and managerial point of view, and the use of value and process engineering are also variables of the relationship.