Entrepreneurship
Maryam Mashhadiabdol; Davood Samari; Majid Ashrafi; Ebrahim Abbasi
Abstract
1- INTRODUCTION
Financial technology will transform traditional financial markets, especially banks, by taking advantage of innovation. The purpose of this research is to present an entrepreneurial model regarding the subject of this research. The research is exploratory in terms of its applied ...
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1- INTRODUCTION
Financial technology will transform traditional financial markets, especially banks, by taking advantage of innovation. The purpose of this research is to present an entrepreneurial model regarding the subject of this research. The research is exploratory in terms of its applied purpose-developments and data collection method. In order to examine the relationship model and its fit, structural equation modeling has been used. As a result, the components are placed in 5. Therefore, according to these recommendations, in order to improve their business models, it has been provided.
2- THEORETICAL FRAMEWORK
Today, the world is witnessing very rapid progress in various fields of science, the speed of these developments and innovations resulting from it is faster, especially in the science of information and communication technology, and the technologies of this field have become a precursor to developments in other fields as well. Banks have always been the focus of researchers due to their special importance in the economy of countries. With the expansion of technology and the increasing influence of the internet and virtual space in people's daily lives, the need for ideas and innovation in the banking sector also becomes more tangible.
In a significant part of the previous research in the field of financial technology ecosystem, the way of its development and evolution and the role of this ecosystem in creating innovation in the financial services industry have been discussed. In research, the proposed classification framework of the paper has three dimensions: financial benefits, challenges and functions enabled by blockchain.
The current research seeks to answer the following questions:
What factors does the entrepreneurial model of technological businesses in the banking industry include?
In what dimensions are the influential factors of financial technology in the banking industry?
How are the influential dimensions of financial technology in the banking industry related to each other?
3- METHODOLOGY
In the first step, to implement this method, the triangular fuzzy values of experts' opinions as well as the components obtained from previous researches in both internal and external studies were calculated and these components were converted into fuzzy values. In the second step, to calculate the average of the opinions of n respondents, their fuzzy average was calculated. In the third step, according to the studies conducted from domestic and foreign researches, the participating team consists of academic experts, number of 20 people, including faculty members of public administration, information technology management, entrepreneurship and banking affairs management, based on the information that they have been determined in the field of financial technologies in the banking system. In the fourth step, to validate the findings of the qualitative part, the method of long-term engagement and continuous observation, review by participants and colleagues, and the triangulation technique of data sources have been used. In order to achieve reliability criteria, including reliability, transferability, reliability, and verifiability, which are used in transferability, the results of the study, in reliability, coding in reports, and in verifiability, recording activities over time. In the fifth step, after data editing, coding and data entry, two methods of descriptive and inferential statistics and software such as Excel, SPSS, PLS have been used to analyze the data. In the sixth step, the interpretive structural model (ISM) was presented by Andrew Sage in 1977.
4- RESULTS & DISCUSSION
In the first stage, according to the fact that each of the previous researchers introduced different components in their articles, with the method of content analysis and the combination of similar codes, the primary components in each of the dimensions of the model were identified by analyzing the existing articles and books and interviewing experts became. Fixed fuzzy numbers are calculated by using the average method as follows:
ϰ1=(U+M+L)/3; ϰ2=(U+2M+L)/4; ϰ3=(U+4M+L)/6
According to KMO number (more than 0.7) and significance level, Bartlett's test is less than 5%. The explained variance shows that these questions consist of 5 factors and these factors explain and cover about 64.55% of the variance, which actually indicates the appropriate validity of the questions. A good fit index above 0.5 indicates a good fit of the model.
According to the results obtained from the structural equation model, the analysis of the research model is presented as follows: the coefficient of determination shows that 74.9 percent of the changes in business internationalization are explained by innovative capabilities, entrepreneurial attitude, supply chain initiatives, and internationalization. Market structure and support activities in this research, the components are placed in 5 levels, which are at the highest level of innovative capabilities and entrepreneurial attitude and at the lowest level of business internationalization.
5- CONCLUSIONS & SUGGESTIONS
Over the years, although many researchers have investigated the components of a business model (Bertel et al., 2012), designing a new business model is closer to an art than a science. In order to achieve the goal of the research, with the help of findings from previous researches, key factors have been identified and then using interpretive structural modeling or ISM, for the key factors identified from the point of view of experts, including university professors, banking experts and managers specializing in the field of business and they are technological works, a structured relationship was defined.
In a changing environment, the delivery and delivery need of financial services will also change. The proposed model is more comprehensive compared to similar proposed models, and the categories taken from previous researches are in five dimensions. By comparing the previous research with the current research, it can be concluded that the structure of institutions and technological activities are among the elements that need to be paid attention to. In order to start and create technological businesses in the banking industry, entrepreneurs need to have a high entrepreneurial attitude in addition to creating an environment that has high innovative capabilities.
Meysam Pashaee
Abstract
Reviewing the efficiency of banks as one of the most important pillars of each country's financial markets is one of the essential steps to achieve economic growth and development. Banks, as the most important monetary market entity, have played a very important role in the economy of each country, and ...
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Reviewing the efficiency of banks as one of the most important pillars of each country's financial markets is one of the essential steps to achieve economic growth and development. Banks, as the most important monetary market entity, have played a very important role in the economy of each country, and measuring the efficiency of banks is of particular importance given their role and the rapid reflection of the policies of this sector in the entire economy of the country. Accordingly, the purpose of this study was to measure the efficiency of selected private banks (modern economy, Pasargadae, capital, exports, nation, trade and welfare) and government (national, export development, industry and mining) during the study period (1393-1395). Be To achieve this goal, two nonparametric approaches (data coverage analysis) and a parametric approach (border production function) have been used using value added and earnings method. The findings confirm the main hypothesis. In the study period, private banks were more efficient than government banks. Regardless of the income approach of the data coverage analysis method, the second hypothesis of the research was that the outcomes of the approaches were similar Parametric and nonparametric is also confirmed.
Alireza Erfani; Marziyeh Hemmati
Abstract
Abstract
With due attention to essential role of banks in the economic cycle and easier access to them rather than other sources and according toinvestment attractions of Semnan province and lack of banking resources in this area, identification and rankingof factors affecting the resources and planning ...
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Abstract
With due attention to essential role of banks in the economic cycle and easier access to them rather than other sources and according toinvestment attractions of Semnan province and lack of banking resources in this area, identification and rankingof factors affecting the resources and planning to allocate them among different economic sectors is important.
Therefore, in the present study, along with identification of factors affecting banking resources of Semnan provincein period 2001-2011, Topsis rankingmethodhas been used.
The results ofthe ranking factors affecting banking resources of Semnan province by Topsis method (Topsis), show that, trust to banking network with 0.6884 has the first place among all the factors affecting the banking resources in different scenarios (with and without considering the effects of variables on the equation), also rank of these factors vary among different commercial and professional bank in this province.
Mohammad Ali Aboutorabi; Mohammad ali Falahi
Abstract
According to the relationship between financial development and economic growth, the question is whether the type of financial structure (bank-based or market-based financial system) can affect the economic growth? This paper attempts to find an answer to the above mentioned question by surviving the ...
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According to the relationship between financial development and economic growth, the question is whether the type of financial structure (bank-based or market-based financial system) can affect the economic growth? This paper attempts to find an answer to the above mentioned question by surviving the effect of financial development of banks and stock markets in some MENA countries.
The Principal components analysis is used to derive a multilateral index for financial development. Moreover, using panel data econometrics, the role of banking system and stock market in encouraging economic growth in the studied countries is investigated.
The results indicate that the effect of banking system development on the economic growth in these countries is significantly negative while the effect of stock market development in spite of being positive is not statistically significant. These results are contrary to the observed empirical evidences in developed countries which are due to the specific and different characteristics of financial markets in developing countries. Therefore, in the case of these countries, it seems that the planning for “financial development” is essential before any controversy over the type of “financial structure”.
