درخت حوزه‌های تخصصی

This research aimed to rank the components of smart network governance in the Iranian banking system. This article discusses the prioritization of the governing elements of smart grids identified from the research conducted by the researcher is discussed. This research was carried out quantitatively and with a simple survey method. The participants of this research were managers and experts of the country's banking system. Participants were selected via purposive sampling with the criterion of at least 10 years of experience in banking management, at least a master's degree, and with the study field of preferably management. The data analysis was done using the method of network analysis process. Super Decision software was used for data analysis. The research results show that the components of the smart network governance model compiled in order of priority include behavioral factors, stability and economic prosperity, mechanism factors, legal considerations, structural factors, comprehensive development, and information and communication technology.

Sound waves are one of the essential factors of daily life and work activities that can cause environmental pollution in the necessary contact between humans and the surrounding world. Noise pollution is reported to be amongst the leading causes of occupational diseases and the second leading cause of occupational injuries in the workplace. A variety of equipment, machines, and work processes are used in industry that are considered sources of disturbing noise. The aim of this study is to assess the noise exposure of workers in industrial environments using the Bowtie approach and Data Envelope Analysis (DEA). The motivation of the research is the multidimensional nature of the concept of noise exposure from the perspective of the exposure situation and the capability of DEA models to evaluate the efficiency of stations based on multiple inputs and outputs. This study uses a quantitative approach. The research method is descriptive cross-sectional. In this research, a case study was conducted to evaluate 10 stations of a company in the industrial area in the first half of 2023. The Bowtie approach was used to determine the correlation between noise exposure and its consequences. The collection of noise exposure measurement data enables the mathematical modeling of the BCC input based on the DEA approach using the EMS software, where the input of the model is the "equivalent sound level" and the output of the model is the "noise pollution situation". The results show the different efficiencies of the 10 stations investigated and the superiority of station 7 compared to the other stations. In the industrial area studied, 30% of the total measuring stations were located in the risk range. The average sound pressure level was estimated at 101.70 dB. It seems that companies can effectively improve the health of their employees in the workplace by directing their activities within the permissible range of noise exposure. The efficiency of measuring stations plays a constructive role in reducing exposure and improving the health of employees in the workplace.

The principles and concepts of the quantum theory have been extensively developed and have become a paradigm in various disciplines, including management and leadership sciences. This is particularly evident in management leadership of educational organizations within universities. Universities must restructure their management leadership methods to effectively address issues and align with the successful higher education systems of other countries. The present study aimed to design a model of quantum curriculum leadership at Farahangian University. The research design was mixed-methods, with an exploratory approach in the qualitative section and a descriptive-correlational approach in the quantitative section. The qualitative section included professors of educational sciences and administrators as experts, while the quantitative section included all professors of educational sciences from Farhangian University. The sample size in the qualitative section was 17 interviewees (faculty members) selected through purposive sampling based on saturation principle, and in the quantitative section, it was 283 individuals selected through cluster random sampling. Data collection tools in the qualitative section consisted of semi-structured interviews, and in the quantitative section, a researcher-made questionnaire with 135 items derived from theoretical foundations, research background, and experts’ interviews. In the qualitative section, validity was assessed through expert judgment, and reliability was assessed through test-retest and internal consistency. In the quantitative section, content validity, structural validity, and reliability were assessed using Cronbach's alpha and composite reliability, indicating the validity and reliability of the instruments. Data analysis in the qualitative section involved grounded theory analysis, while in the quantitative section, descriptive and inferential statistics (Kolmogorov-Smirnov test, Index values and Path analysis) were used. The results of the Kolmogorov-Smirnov test indicated that these assumptions were confirmed (p> 0.05). The findings of the study also showed that the presented model is a good fit. The findings revealed that quantum curriculum leadership consists of two factors including dimensions and components; causal conditions including planning in the higher education system and evaluation of quantum curriculum; and consequences including learning and professional development. The strategies include managerial, applied education, and executive organization, while the context includes environmental, economic, and scientific factors. The obstacles include technology, concentrated education, and structured organization.

This research aims to investigate the factors influencing the adoption of e-commerce in small and medium-sized companies using the push-pull framework and with a practical approach in companies that produce and sell building stones in Iran. This research is a descriptive survey correlation in terms of its practical purpose and method. The statistical population of this research is made up of all sellers and producers of construction stone in Tehran province, and with the help of G*Power software, a minimum sample size of 216 people was estimated; But for more certainty, 220 people were selected as samples. The partial least squares technique and Smart Pls software have been used to test research hypotheses. The results of the research show that pull and push variables have an effect on changing the behavior of the company from traditional retail to e-commerce. Perceived time savings by using e-commerce and perceived cost savings by using e-commerce affect supporting customers' information-seeking behavior. Understanding that small and medium-sized companies in the stone industry can provide better service quality and lower prices with the presence of e-commerce has an impact on the perceived value of e-commerce for small and medium-sized companies that produce and sell stones in the stone industry. An increase in sales due to expansion of market access, improvement of external market communication, quality of e-commerce site services, and customer support system on the website also affect understanding the attractiveness of e-commerce adoption for the company.

This study aims to analyze and identify critical success factors of Total Quality Management (TQM) for evaluating organizational performance using a framework based on the Knowledge Management (KM) approach. Initially, the study determines the success factors of TQM and KM by reviewing research history, and then assesses the significance and performance of each factor through questionnaires. Data mining algorithms are used to cluster the factors, and a Data Envelopment Analysis (DEA) model is employed to evaluate the organizational performance by considering the success factors of KM as inputs and success factors of TQM as outputs. The Return-to-Scale (RTS) variable model is used to calculate the performance indicator for the organization. The study reveals that, while KM and TQM have some differences rooted in their distinct focus, they also have many similarities that can complement each other if properly planned.