فرزاد آسایش

Purpose: The purpose of this study is to evaluate the impact of marketing strategies on entrepreneurial risks and determine their ranking. It is possible to rank marketing strategies to make the best decision to deal with the risks facing businesses. Methodology: Based on preliminary studies conducted on SMEs in Iran, a four-part questionnaire with a five-point Likert scale was provided to entrepreneurs and managers of SMEs in Tehran. Data related to 20 questionnaires were analyzed using SPSS software. Cronbach's alpha method was used to determine the reliability of the questionnaire. Finding: The results reveal that financial strategies, customer, relationships and online marketing do not have the same effect on entrepreneurial risks and we can rank them. Also, in examining the impact of business strategies on risks, the results showed that planning strategy has the greatest impact on reducing credit, operational and liquidity risks whilst relationship strategy has the greatest impact on reducing market risk. Online marketing strategy has the least observed effect on reducing credit risk and operational risk, and direct marketing strategy and financial strategy have the lowest effect on reducing liquidity and market risks. Conclusion: The effect of business strategies on reducing entrepreneurial risks is confirmed and we can rank strategies based on their impact on the risks facing businesses. Entrepreneurial risks can be reduced by using marketing strategies, and in conditions of uncertainty, the use of knowledge and expertise of marketing consultants can lead to improved decisions of entrepreneurs, resulting in sustainability and growth of businesses.

The aim of the current research is to identify the futures of marketing in the banking industry with a focus on blockchain technology. The current research is applied in terms of direction and has a mixed methodology due to the use of qualitative and quantitative methods together. The theoretical population of the research was experts in banking marketing and digital financial technologies, especially blockchain, and the sampling method was done in a judgmental method. The sample size in this study was equal to 15 people. For data analysis, meta synthesis methods, Binominal's statistical test, developed Copras and root definitions tool were used. The tools of data collection in this research were interviews and questionnaires (expert evaluation and priority evaluation questionnaires). 47 drivers were extracted from meta synthesis and these drivers were classified into nine main drivers. The drivers of the research were screened in two stages using theory-based inference screening and Binominal's test, and 12 drivers were considered for prioritization using the Copras technique. The remaining drivers were evaluated using the Copras technique and three criteria of importance, degree of certainty and experts' expertise. The findings showed that the drivers of marketing researchers' interest in digital financial technologies and blockchain and the development of decentralized banking had the highest priority and were selected for scenario planning. Based on these two drivers, four scenarios of crypto bank, conservative banking, pioneer banking and traditional banking were developed. The research proposals were proposed based on the important drivers and the desired scenario (crypto bank).