Structural Equations

The purpose of this research was to provide a "Structural Equations Modeling Template" for the role of Human resources (HR) strategies on occupational performance development of colligate personnel. The current study is an applied research in terms of purpose, and a descriptive-analytical sample in terms of research method. The statistical population of this research included all employees Islamic Azad University of Shiraz Branch. The sampling method was "Random Classification". The standard questionnaire was used for data collection. By applying SMART PLS software, the research hypothesizes were made based on structural equations modeling & factor analysis .Findings showed that, there is a positive and significant relation between human resources development strategies and occupational performance of employees. Meanwhile, the HR development strategy, and employees' recruitment strategy have the greatest and the least impact on employees' occupational performance, respectively. The research findings showed importance of human resources strategies in evaluating occupational performance of employees. Therefore, HR strategies should be considered in Islamic Azad university of Shiraz.

Purpose: Today, many scholars believe that accelerating the exchange of knowledge and information with emphasis on the central role of knowledge and science is crucial to achieve comprehensive development. In fact, a knowledge-based society is recognized as a paradigm for development. Investing in knowledge-based foundations in the rural areas can also lead the rural community towards the future and play a role in national and international arenas. The purpose of this study is to model structural equations affecting knowledge-based realization in Dehkhoda Village in Hamidieh County. Design/methodology/approach: The design of this study is of applied-theoretical type and adopts a descriptive-analytical research method. Research data were also extracted from library resources and field surveys. For this purpose, by visiting statistical centers and exploring through statistics, a comprehensive dataset was compiled for the research along with a self-administered questionnaire. The population of this study were the residents of Dehkhoda Village inhabiting permanently in this village in 2018 (n=1980). Of this statistical population, a sample size of n=321 was selected using Cochran formula for rural community. Pearson correlation coefficient, single sample T, multivariate regression and path analysis were used to analyze the data and test hypotheses. These tests were performed using SPSS.22 and Amos software. Findings: The results suggested that information and communication technology (ICT), education, management, government agencies and NGOs (as independent variables) were positively and directly related to knowledge-based realization (as dependent variable) in Dehkhoda Village. SEM indicators also exhibited that the model developed in this study is backed up by the research data, with all indicators confirming the utility of the SEM. According to the results of research, it can be argued that public satisfaction with management indicators, government and non-governmental organizations is higher than average, whereas satisfaction with ICT and education is lower than average. Practical implications: Rural knowledge-centeredness requires decentralization, reduction in government tenure, the reinforcement of voluntary and non-voluntary public institutions in villages, the modification of rural management laws and regulations to create and integrate rural management system, the assignment of a large portion of the government's executive duties and responsibilities to rural sheriffdom, and the transfer of facilities and financial resources to it.

Purpose - The study of social capital in the context of location/space is a new approach that is dominated by the science of geography, and is seen as a way of distinguishing it from other sciences. The purpose of this study was to evaluate the impact of livelihood capitals on social capital in rural areas of Bojnourd County. Design/methodology/approach - This study was a fundamental research, conducted in a descriptive-analytical method. Documentary methods and field works have been employed to collect the data. The population consisted of 22 villages with more than 20 households in Bojnourd County, selected from various population classes and distances from Bojnourd. Using Cochran formula and random sampling method, 298 households were selected from a total of 4849 households in the rural areas of the study area. Partial least squares technique and Smart PLS software were used to test the conceptual model of the research and the impact of livelihood capitals on social capital. Geographically Weighted Regression (GWR) was used to evaluate the model efficiency at Bojnourd County level. Findings - According to the results, the coefficients of T among the main variables of the study were above 2.58, which means the relationship is significant and direct. Thus, local-spatial factors have a significant and positive effect on social capital. Based on total coefficients, human capital with the coefficient of 0.348 and physical capital with the coefficient of 0.136 respectively had the most and the least effect on social capital. The results of spatial analysis using GWR showed that the impact coefficient of livelihood capitals on social capital was highest in the villages of Atrabad Olia and Gharajeh, and in total about 45% of villages in the study area had an impact coefficient of 0.90 to 0.91. Research limitations/implications - As the study of livelihood capitals and analysis of their relationship with social capital is a fundamental challenge in achieving sustainable rural development that is missing in current studies, it is recommended that future studies pay more attention to social capital and the impact of livelihood capitals on its creation and rural development. Practical implications - Rural areas suffer from the lack of social capital, which is one of the most important types of development capital required to achieve sustainable rural development. Thus, enhancing the social capital and informing the villagers about the value and importance of local-spatial factors and the material and non-material capitals available in rural areas should be on the agenda of rural development researchers and planners.

The present study aimed to explore and explain maturity of employee based on quality of work life. This work used Delphi survey through a researcher- made questionnaire to collect data. Confirmatory factor analysis and descriptive statistic are used to survey the data. In comparison with the present standards, both factors have a good statue. For components 'quality of working life' and ' maturity of employees', confirmatory factor analysis was used based on which the goodness of fit index for quality of working life, mental, emotional, career. Findings of the multiple regression model suggest that all the dimensions and factors except for mental maturity have a significant relationship with quality of working life.

Purpose: The purpose of this study was to present a model of competency management for organizational agility in Islamic Azad University of Tehran. Methodology: The statistical population in the qualitative section, the professors of Islamic Azad University of Tehran, number 20 and in the small department, directors and deputies of units, directors and deputies of faculties, faculty members and faculty members of Islamic Azad University in Tehran, 4134 people were selected. In the qualitative section, the purposeful sampling method, considering the saturation law, was 10, and in the quantitative section, using stratified random sampling method, and based on the Cochran formula, 352 Selected as samples. To collect data three dimensions of "individual, organizational and social" and organizational agility questionnaire with 48 questions and 16 components were used. Findings The results showed that competency management has three dimensions (individual, organizational and social). A person's dimension has seven components (decision making, knowledge and information, personality traits, service, accountability, beliefs and ethical values, and attitude and insight), an organizational dimension with eight components (leadership competence , Planning, monitoring and control, setting goals and strategies, technology, customer orientation, change management, crisis management) and social dimension has five components (workgroup, networking, behavior in relationships, inter-organizational, external).Among dimensions of competency management, organizational dimension with factor load of 0/894 has the most impact and in the first rank and social dimension with factor load of 0 706 has the least effect and in the last rank. Discussion: The results of structural equation test showed that there is a positive and significant relationship between competency management with organizational agility.

Despite numerous upstream communications, there is still no comprehensive and reliable model for implementing these tasks; neither in the literature nor in oil & gas industry. Previously developed models focus more on the outsourcing process and it seems that there is no outsourcing model that has been developed with an eye to utilizing internal capabilities in a portfolio of alliances and be compatible with the unique characteristics of the Iran's oil and gas industry. In an attempt to validate the components of the "Model of development outsourcing physical assets in the oil and gas industry, with the approach of upgrading internal capacity" this study used a questionnaire in a Likert scale (very high, high, moderate, low, and very low). From the population, 102 people participated and a total of 100 completed questionnaires received. Using confirmatory factor analysis the validity of the variables and the questionnaire were examined. In this research, SPSS and Smart PLS softwares were used and the error probability level was considered α = 0.05. The results showed that the model has a good fit. According to the Geiser index, the fit of the model was medium to high and the goodness of fit criterion was equal to 461.0 and indicates the optimal fit of the model.

The purpose of this study is evaluate the out-of-home advertising model of consumer products in the food industry of Fars province. The model under test was designed using the grounded theory method through interviews with 20 marketing and advertising experts. Structural equation analysis has been used to analyze the data and according to the proposed model in relation to the effect of latent variables. Data were collected by distributing a questionnaire among the marketing and sales staff of Fars food industry companies. The statistical population of this study includes the employees of the marketing and sales department of Fars food industry companies. Due to the unlimited number of statistical population, a cluster model was used to select the sample. For this purpose, 246 people were selected and evaluated in a targeted manner, but in the end, 227 completed and returned questionnaires were statistically analyzed. According to the results, the two important models of model fit (RMSEA) and (CMIN / DF) and other indicators are in an acceptable range, which can be said that the model has a good fit. Also, the research results showed that Out-Of-Home advertising can It should lead to customer loyalty, credibility, mental engagement, intention to buy and increase sales.

The forward-looking information disclosure presents the information that enables the beneficiaries to evaluate a company's future that might involve financial forecasts and uncertainty. This affects the company's performance and decreases the stock return volatility. The present research aims at integrated modeling of the causes and consequences of forward-looking information disclosure. This study is an applied descriptive correlational research. The sample included 93 companies listed on the Tehran stock exchange from 2013 to 2019. The impact of all the causes of forward-looking information disclosure and its consequences was extracted by applying the structural equation modeling method. The consequences include capital cost and informational asymmetry, and the causes of forward-looking information disclosure include macroeconomic features, financial performance, ownership structure, board characteristics, structural properties, and audit. In short, according to the obtained results, the forward-looking information disclosure significantly positively affects the capital cost. On the contrary, it has no significant influence on informational asymmetry. Further, the results of testing the model revealed that the variables of ownership structure and financial performance positively influence forward-looking information disclosure. In addition, the impact of macroeconomic characteristics is negative, and there is no relationship between the forward-looking information disclosure with the audit, structural features, and the board's characteristics

FinTech is the solution that strengthens the way of financial communication and if we apply this technology, it will provide us with new methods of performing smarter, more agile and wider financial services. The purpose of this study is to investigate and analyze the factors affecting the implementation of FinTech in Iran's banking industry using structural equation modeling to provide comprehensive solutions of removing barriers and development of this industry in the Iranian banking industry by fully understanding the current situation. The present article is of descriptive-analytical type and data collection has been done through library studies and questionnaires. The statistical sample of the study was 12147 personnel working in Iran's banks in 1400. Due to the size of the population, Cochran’s method and random sampling method were used to determine the sample size. To analyze and classify the extracted data, a questionnaire and a test of the main hypothesis and sub-hypotheses and structural equation modeling were used using smart PLS statistical software. The obtained results confirm the main hypothesis and the sub-hypotheses of the research. The results indicated that in the banking sector, there is a need for legalization and harmonization with upstream laws, as well as the need for infrastructure and tools that are very important in adopting strategies to implement FinTech in Iran's banking industry, in order to make transparency, reduce costs, provide high-speed services, and move towards a smart economy.

Widespread usage of web technology provides an opportunity for business in order to use internet as the tool for management of electronic relationship with costumers. Organizations that undertake expense of investment in this field, one of their primary purposes is improvement of satisfaction of costumers. For this reason, in most of organizations which use the system of electronic relationship with costumers, there is this question that does this action affects customer satisfaction or not? Therefore, it is determined that this question and dimensions of customer satisfaction are considered in research project. The present research is functional in terms of the purpose. The results of research, after collection of data and analysis by using LISREL software shows that electronic management in factories affects satisfaction dimensions of after-sale services, product and sales process.

Objective Using a quantitative approach and a systematic methodology, advanced structural equation modelling techniques were applied to test the research hypotheses. In a possible sample of 98 experts and activists of entrepreneurship in Sistan and Baluchistan province, the observations were collected using a standard 32-items tool based on Likert scale. After screening the raw data, covariance-based confirmatory factor analysis was used to evaluate the validity, reliability and fittingness of the research model, and the hypotheses were tested in the form of a structural model. The results of convergent and divergent validity tests showed that the two indicators of the research model has validity. Also, the reliability tests indicated the generalizability of the research results at 85%. Also, all the research hypotheses were confirmed.Objective Using a quantitative approach and a systematic methodology, advanced structural equation modelling techniques were applied to test the research hypotheses. In a possible sample of 98 experts and activists of entrepreneurship in Sistan and Baluchistan province, the observations were collected using a standard 32-items tool based on Likert scale.