مرتضی موسی خانی

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.

Entrepreneurial ecosystem is a geographic framework that indicates that a person is supported by which factors for becoming a businessman. Effective factors on this issue include social, cultural, political and economic structures that should be considered in the context of different regions. In our research, we are going to identify not only international and national factors affecting entrepreneurship but also factors that will affect on the entrepreneurship of the region. The statistical sample includes 100 entrepreneurship development policymakers, entrepreneurs, and owners of knowledge-based companies. The data gathering tool of the interview was based on a closed questionnaire and the validity and reliability of this research were confirmed after the assessment. Based on the findings of this study from the descriptive aspect, this conceptual model has been appropriate for experts and entrepreneurs. Analysis of the main goals of the research shows that there are a number of factors on the region that the ecosystems of entrepreneurship are affected by them, which include geographic, demographic, institutional factors, and regional infrastructure.

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.

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.