جستجوی مقالات مرتبط با کلیدواژه « structural equation modeling » در نشریات گروه « علوم انسانی »

This research aims to design and test the success model of e-learning in the educational industry. This study was conducted using the qualitative approach of grounded theory and the quantitative approach of structural equation modeling. Experts, management university professors, managers of e-learning institutes, and experts formed the statistical community, 8 of these people were selected as a statistical sample in the qualitative section and 70 of these people were selected in the quantitative section. To perform the aforementioned analysis, MAXQDA software version 2020 was used in the qualitative section and structural equation modeling software using Smart PLS version 4 software was used in the quantitative section. Qualitative findings showed that the causal conditions of the e-learning success model consisted of 33 primary codes and 6 sub-categories; background conditions included 24 primary codes and 5 sub-categories; the intervening conditions consisted of 36 primary codes and 8 sub-categories. E-learning success model strategies consisted of sub-categories of geographical business development, the role of planning in electronic education, the need to take advantage of today's achievements, the use of e-learning to reduce costs, cultural factors, and e-learning, e-learning requirements, business strategy, designing the basic platform of electronic education, e-learning success requirements, and the ability of electronic educational businesses. Moreover, the findings showed the consequences of the success model of e-learning including the benefits of e-learning, interaction in electronic learning environments, the role of e-learning in educational businesses, community and e-learning, the potential of e-learning, e-learning and business, and its recommendation for electronic education. Quantitative findings also showed that the research model is well-fitted.

considering the influential position of the Audit Committee(AC) in the corporate governance system, it is very important to pay attention to the efficiency and effectiveness of this committee. the purpose of this research is to evaluate the power of generalizability and validity of model of improving the efficiency and effectiveness of AC, which was extracted using the qualitative research method of grounded theory. during 2022, using quantitative research method and questionnaire tool, the required data was collected from university professors, experts and professional activists. the analysis was based on structural equation modeling. The findings indicate the confirmation of the external and internal reliability and validity of the research model, and the validity of the fit and the predictive power of the model were evaluated at the desired level. In addition, by using the values of the factor loadings and calculating the correlation value of the indicators of a structure with that structure, it was determined that the reliability of the measurement model is acceptable. Also, the impact of six paths arising from the model, including causal, intervening, contextual conditions, strategies and outcomes, which the research hypotheses are based on, were meaningfully confirmed through path analysis tests. Since the findings of this research confirm the effectiveness of the components included in the model for improving the efficiency and effectiveness of AC, the criteria mentioned in this model provide a clear perspective for evaluating the efficiency and effectiveness of AC for companies, legislative authorities and professional institutions.

Since supply chain risks are intertwined, a resilient approach to reduce risk can moderate supply chain risks. The current research was conducted with the aim of determining the causal and structural relationships between the factors influencing the supply chain risk management based on resilience using a mixed (qualitative-quantitative) approach. For this purpose, we used the multi-grounded theory method to identify the influencing factors, the interpretive structural modeling method to determine the relationships, and the structural equation modeling method to test the significance of the relationships. In the first part, the relationships between the influential factors were identified with the judgment of 17 experts and a structural interpretative model was obtained.then, with the data obtained from the number of 350 managers and experts of Iran's National Oil Products Distribution Company, the validity of the relationships determined in the ISM model was evaluated using the SEM method.the findings showed that supply chain risks, while influencing each other, affect resilience factors in the second level of the model. Therefore, resilience factors are affected by risks and react to control them, and this issue can lead to the achievement of supply chain risk management goals at the first level of the model.

Given the dependencies of key economic sectors, the global steel demand is expected to increase. Therefore, pursuing multiple strategies and aligning with global market developments is essential to enhance and achieve competitiveness in this industry. One of the development approaches in the steel industry, like other technology-based industries adapting to advancements in new technologies, is using a technology transfer approach. This industry is one of the largest and most important industries in the world and plays a very important role in many economic sectors. It can be significantly recognized in global markets as one of the main and powerful players by improving its competitiveness. The main objective of this research is to evaluate the competitiveness model in the steel industry with a technology transfer approach.

This research is applied considering its objective and follows a descriptive survey methodology for data collection. The statistical population of this research includes managers and employees of companies active in the country's steel industry. The data collection tool in this research was a questionnaire distributed randomly among the population. Ultimately, 384 questionnaires suitable for data analysis were collected. The gathered data were analyzed through the structural equation approach and with the help of Smart-PLS software. The model validation in this research was formed comprehensively with an interpretive-structural modeling approach.

The results showed that among the influencing factors, internal factors have the highest impact on competitiveness, while among the contextual factors, political and legal factors have the most significant effect. Additionally, the strategy of investment and cooperation was identified as the most effective for improving competitiveness, potentially yielding important economic, social, and organizational benefits for companies in the steel sector. Consequently, it is suggested that these companies enhance the selection and purchasing power of domestic and foreign customers by diversifying their product offerings, including related and complementary products, to cater to a wide range of needs within the industry.

The petrochemical industry is not in a favorable condition in this regard, and the volume and lines of products and derivatives in the industry are limited despite the available potential. Support from official, governmental, and legislative institutions for stakeholders and investors in the steel sector is crucial. By providing appropriate facilities and subsidies, these institutions can encourage and motivate active and potential investors to expand their production activities. Additionally, it is essential to reduce cumbersome and discouraging laws related to investment and exports. One of the most important drivers for increasing competitiveness among companies in the steel industry is the presence of a supportive atmosphere and attitude from senior company managers. The industry needs to step towards attracting, transferring, and developing existing technologies. Therefore, the presence of expert and capable managers with an entrepreneurial orientation in new technologies can be a crucial factor in developing the steel industry.

As technological advancements drive economic development and energy diversification, reliance on electricity has steadily increased. With the residential sector being a major electricity consumer, understanding the behavioral patterns of this group is crucial for managing electricity consumption and mitigating pollution associated with power generation. The main purpose of this study is to evaluate household electricity consumption behavior alongside its determining economic factors based on Theory of Planned Behavior (TPB).In this framework, the relationship between electricity pricing and socio-demographic factors with saving intention is examined to assess the intention of households to conserve electricity and explain their saving behaviors. To test the research hypothesis regarding the significant and dominant effect of behavioral factors on household electricity consumption, structural equations are employed. Research data is gathered through a field study involving 405 subjects (based on Cochran-Orcutt statistics) from residential electricity customers in Mazandaran Province of Iran. According to the results, the path coefficients for attitude, perceived behavioral control, and subjective norm were estimated to be 0.442, 0.323, and 0.128, respectively. Notably, the path coefficient for electricity price was estimated to be 0.121 (lower than subjective norm), indicating a significant but less influential role compared to behavioral factors. Additionally, the path coefficient for electricity saving intention was estimated to be 0.617, again highlighting the substantial importance of behavioral factors in electricity consumption. Based on the findings of this research, it is recommended that policymakers consider behavioral factors alongside pricing measures to control electricity consumption. For instance, in the framework of nudge approach, designing bills based on behavioral patterns and sending monthly and quarterly reports to compare the consumption of residents with their neighbors can have a significant effect on reducing electricity consumption. This approach not only contributes to resource and environmental conservation but also mitigates the adverse income distribution effects stemming from electricity price hikes.

Ethical leadership has emerged as a new approach in the perspective of leadership and by giving priority to ethics in the organization, has provided the basis for creating and promoting self-efficacy and career success of employees. The present study aimed to investigate the effect of ethical leadership style on job success and self-efficacy by emphasizing the mediating role of quality of work life A military unit in the southeast operational base. This research is applied in terms of purpose and descriptive-survey in terms of method. To collect data, researcher-made questionnaires of ethical leadership style and quality of work life and standard questionnaires of Scherer self-efficacy and career success of Rassiol were used and data analysis was done using structural equation modeling technique through software. Spss and Smart Pls software. The results show that ethical leadership style has a positive and significant effect on quality of work life, employee self-efficacy and job success of employees and also ethical leadership style indirectly affects the quality of work life and employee self-efficacy by mediating the quality of work life factor. is over.

The purpose of this study was to design a model for the development of digital sports diplomacy in the country. This research was a component of applied research in terms of purpose and a combination of qualitative and quantitative (mixed) research in terms of implementation method. The statistical population of this study, according to the type of research in which it is about sports diplomacy, includes all experts in the field of sports diplomacy and international relations; Faculty members of sports management in the country; He was in charge of the international relations of the federations. Data analysis method in the qualitative part using the foundation data theory and Glaser approach and in the quantitative part to confirm the conceptual model arising from the foundation data theory of structural equation modeling using Smart PLS software شد. The findings showed that there are a total of 6 factors for the development of digital sports diplomacy in the country, including "needs building", "capacity building", "structuring", "branding", "planning" and "development policies". "ای". Also, the results of structural equation modeling indicated the fit of the research model and all paths were positive and significant. In a general conclusion, it should be acknowledged that in order to develop digital sports diplomacy as much as possible, executive structures should be created in the digital tools development program and policies should be made in this regard, to meet the needs of people in this branch of sports diplomacy.

To achieve their goals, organizations need to consider several factors, one of the most important of which is organizational participation. Isfahan Governorate, in line with its organizational mission, tries to provide quality services with a central program through encouraging increased participation of employees and taking advantage of their opinions and suggestions. Hence, the current research is aimed to present a model for increasing employee participation in Isfahan Governorate. To this end, 54 influencing factors regarding employee participation were extracted through the review of research literature. The intended research community consisted of all the employees and managers of Isfahan Governorate, and 21 senior managers of the organization who were recruited through convenience samling and their opinions were analyzed using the fuzzy Delphi method. The final factors were codyfied in 7 dimensions of leadership, job satisfaction, performance evaluation, clear goal setting and policy making, organizational culture, human resource measures and organizational structure. The conceptual model and the relationship of the factors were presented using the DEMATEL method. The conceptual model with the addition of employee participation as a dependent variable was quantitatively investigated using the structural equation modeling method. The results revealed that there is a positive significant relationship between leadership and human resources measures; leadership and organizational structure; organizational structure, goal-setting and policy-making; human resources measures and organizational culture; organizational culture and performance evaluation; goal-setting and policy-making component and performance evaluation; performance evaluation component and job satisfaction; and job satisfaction and employee participation.

Recent advancements in technology have facilitated the use of social media as a means of interpersonal communication. However, it is important to acknowledge that over-reliance on these smart networks can result in many adverse consequences at the individual, societal, and cultural levels. This study was done to examine the influence of culture on social media addiction, specifically focused on the usage of Telegram as a social medium among students. The goal of this research is applied and its method is descriptive and survey methodologies. A standardized questionnaire was the primary data collection tool. The statistical population consists of the students enrolled at the Semnan campus of Islamic Azad University who actively utilize Telegram. A total of 430 questionnaires were provided, of which 400 questionnaires were deemed valid and quantifiable. The opinions of academic and executive experts in the area of culture, communications, and media verified the content validity of the questionnaire. Cornbach alpha was used as well for measuring and verifying the reliability of the questionnaire. The questionnaires were further analyzed using the structural equation approach. The findings of this study indicated a significant correlation between Hofstede's cultural dimensions (uncertainty avoidance, power distance, masculinity/femininity, individualism, and collectivism), perceived trust and utility, and the addiction to Telegram. Therefore, since most of the cyberspace users are adolescents and youths, it is suggested that officials focus on the related cultural issues, considering their important charecteristics that make them susceptible to be addicted to the medium.

Access, plays an important role in rural development as there is a meaningful relationship between rural development and access to infrastructure services. Villages that have less access to essential services, especially transport, faced with a lot of structural and socio-economic constraints, which are obstacles to sustainable rural development. The present study seeks to examine the accessibility and the factors affecting it. Accordingly, it is considered with descriptive-analytic research method. The statistical population of the study, consisted of villages in the central District of Tabriz County (52 villages) that there needed data were gathered from rural municipals. After validity and reliability of the research, in order to evaluate accessibility, we used the Dematel technique and ANP, then to assess the role of different elements in accessibility of rural areas, we used SEM in Amos software. Initial results of Rural Accessibility Survey showed that the Mayan Sefli village had the highest accessibility and the final result of the research are determining the role of factors in rural accessibility based on factors such as distance from the city, service centers and social status of the village are more effective than other factors in accessibility.

A city requires city brand and appropriate strategies for beneficiaries, especially tourists; hence, city development plans can affect the type of city brand orientations. Accordingly, this study was conducted to identify the effective factors to design structural equation modeling (SEM). SEM was employed to rank the factors and find the correlation between them using Forner-Larcker Matrix. This was an applied-correlational study in which, data were collected through convergent mixed methodology, library study, questionnaire, and Semi-structured interviews. Birjand was chosen as the research field and a statistical sample was chosen at descriptive statistics using purposive and snowball sampling methods. Accordingly, 19 subjects were selected from urban experts, and 381 tourists were chosen at the quantitative step using simple random sampling. findings obtained from interviews implied that some points should be considered for the city branding of Birjand. The factors include the significant militarily and academic impact of Birjand on historical aspect and service-based economy of the city, cultural capitals, and the arts that are forgetting, immigration, and implementing the development-driving plans. The research model indicated that city development plans had the highest positive effects on the landscape and mental image regarding city branding plans. Moreover, According to the correlation between components, the highest relationship was between mental image and landscape (0.66).