مرتضی موسی خانی

The use of technology acceptance models is a way to understand the users' attitude towards new technologies. The present study aimed to investigate drivers affecting the customers' behavioral intention to use blockchain capabilities as a financial instrument using a combination of several technology acceptance models to determine what factors encouraged users to use blockchain capabilities as a financial instrument. Therefore, determinants of the behavioral intention to use blockchain capabilities as a financial instrument were first explored by the literature review, and then the structural equation model was built according to this basis. Results of data analysis indicated that the personal propensity to trust and structural assurance beliefs directly affected the initial trust that in turn, affected the users' behavioral intention. On the other hand, task and technology characteristics directly affected the task-technology fit that in turn, affected the users' behavioral intention. Furthermore, the performance expectancy directly affected the users' behavioral intention. Results of the present research indicated that the intention to use blockchain capabilities as financial instrument came from a social need; and users were keen to use blockchain despite some limitations of this technology.

This study was designed to explain the Blockchain acceptance indices in Iran's financial markets aimed at identifying different angles for the implementation of Blockchains. The Blockchain acceptance indices were extracted in 4 levels, 12 variables, and 53 indices of related research literature in the field of e-commerce and mobile banking. To validate the research indicators, the Fuzzy Delphi technique was used to refine the indices in addition to the documentary study. The survey was conducted in three stages and the results of each stage were refined. Based on data analysis, 39 indicators were confirmed. The results of this study can provide useful insights for researchers and policymakers of Iran’s financial markets to understand the prerequisites and effects of the Blockchain implementation on financial markets, and thereby, they would be able to change business models to take advantage of Blockchain capabilities in the infrastructure of Iran’s financial markets by considering different aspects.

Purpose: The purpose of research is to observe the influence of public trust on accepting KBOs. The implementation method of the research is descriptive (non-experimental) and with correlation analysis model formed by structural equations used the least minor squares. Methodology: The participants of the survey were consumers of KBO services. According to Cochran formula for unspecified society ,384 individuals were chosen as statistical sample selected totally random. From 384 questionnaires distributed ,370 were answered and 14 others were discarded due to many unanswered questions. In due course 370 questionnaires were processed. To measure social trust, Safarinia and Sharif questionnaires were used. (1389). due to receptivity of knowledge-based organizations, researcher-made questionnaire were utilized. this questionnaire contains 5 elements which composed based on available questionnaire. We realized there is a meaningful and significant relation between KBO admission and all aspects of social trust. the influence of social trust on KBO’S admission was positive and meaningful. The influence of social trust on KBO’s admission is positive and meaningful. Findings: According to the results,72% Variance model in knowledge-based organizations admission were indicated by Research model. Therefore, we realized strengthening social trust will bring acceptance to KBO’s presence. Discussion: In this regard, managers and officials in KBOs must concentrate on gaining and obtaining social trust in case of adequate social acceptance.

Purpose: Entrepreneurship is considered as the driving force of economic and social growth of societies. Methodology: The present qualitative study is based on grounded theory, while recognizing the dimensions of the rural business space in Kurdistan Province, has identified the factors affecting rural entrepreneurship in this region. Also, in this study, in order to increase the efficiency of policies and plans of rural entrepreneurship development institutions, a conceptual model of extractive factors has been proposed. For this purpose, a group of fifteen rural entrepreneurs, local experts and officials and extra-local experts were selected and studied using non-probability sampling methods, such as theoretical, purposive and snowball sampling. The data were collected using three tools of interview, field observations and review of archival documents and analyzed using open, axial and selective coding. Findings: The study results classified the factors affecting the development of rural entrepreneurship in Kurdistan Province into the following categories: individual, social, cultural, infrastructure, natural and ecological, legal, educational, political and economic institutional factors. Conclusion: In addition, interactive mechanism is reflected according to the structural model of grounded theory with six theoretical components.

Enthusiasm is one of the main psychological variables affecting the entrepreneurial intention of people, which as one of the dimensions of well-being in the work environment, expresses a positive and active feeling, which is known with a high level of work with interest and honor. The aim of the present research is to investigate the role of the entrepreneurial enthusiasm of managers in the organizational structure of managers of government organizations. According to the existing theoretical frameworks, the relationships between research variables have been evaluated by some quantitative methods. According to the characteristics of the statistical society, the non-probability and accessible sampling method was chosen for the experts. To determine convergent and divergent validity, Lisrel software was used, and for data analysis, the Kolmogorov-Smirnov test was usually used to test the normality of the data. The analysis of the obtained data showed that; GFI (normalized fit index) higher than 0.9 is a sign of a good fit of the model. RMSEA is equal to 0.055 (the root mean square of the error of approximation or the deviation test of each degree of freedom) and a value less than 0.08 indicates a good fit of the model. Shows, On the other hand, the P-value (significant level) is 0.0001, which is less than 0.05, so it is accepted with 95% confidence of the conceptual model of entrepreneurial enthusiasm of managers of public organizations. The results showed that the investigation of the entrepreneurial enthusiasm of managers of public organizations in Isfahan province showed factors such as organization atmosphere, perspective, and upstream documents, knowledge management in the organization, efficient human resources, and entrepreneurial culture in the organization, organizational learning, and entrepreneurial education. There is a desire for entrepreneurship in this.

The purpose of this research was to identify and prioritize effective factors in social responsibility of professors of Islamic Azad University of Qazvin branch which was conducted in 2014 and 2015. Among all statistical population which included 395 professors of the university, 195 professors were selected as statistical subjects from the population. In this research, it was attempted that by using written sources, views of experts, field investigation, and also interview with experts, a questionnaire be designed to identify the said factors. The instrument used for collecting information was the questionnaire. To determine formal and content validity of the questionnaire (the proposed indexes), content validity was used, and in order to determine reliability factor, Cronbach's Alpha method was used for 5-Choice questionnaire of Likert. Then required data of the research were collected and by using statistical descriptive and inferential techniques, date analysis was conducted by SPSS software. Results indicated that structural dimension has the highest effect on accepting social responsibility among behavioral, structural, and contextual dimensions.