درخت حوزه‌های تخصصی

The main purpose of the present study is to identify and investigate the factors affecting the revisit intention of a tourist destination and to prioritize them based on their level of importance. There are many factors that influence the revisit intention of a place, however, not many studies have been conducted to address the issue of identifying and prioritizing them. Accordingly, this study seeks to fill this gap. This study identified more than 200 factors through a comprehensive literature review and expert’s opinions and classified them into 17 main factors. These identified factors were then provided to tourism experts and they were then rated, using the Delphi method. Ultimately, 3 factors were removed and 14 factors remained as factors affecting the revisit intention. The prioritization of these factors and their importance was established using the Multi-Criteria Decision Method, i.e. the Best-worst method (BWM). The results showed that the behavior and culture of local people in a tourist destination is the most important factor for tourists in leading them to revisit that destination. The perceived value factor was ranked second and the motivation factor was ranked third, in this respect. Moreover, the factor of Word of Mouth (WOM) was the least important factor and therefore was ranked last. The findings of this study are useful in helping tourism marketing and branding strategists to focus on the right metrics to make more effective decisions and encourage people to revisit tourist destinations.

The current research deals with the modeling of value creation process by using viral marketing in line with branding in the banking industry (case study: Tejarat Bank). This research has a mixed approach based on thematic analysis method and is based on the research objective of exploratory type and the method of collecting information from library and field type. The statistical population for conducting semi-structured interviews included professors, policy makers and marketing managers. Sampling was done by snowball method and data analysis was done using MAXQDA software, in total 69 basic themes and 5 organizing themes were extracted. At the technology level, there are six categories of using appropriate tools, channels and technologies, the type of social network and being popular, advertising campaigns, ease of message transmission, message sharing mechanisms, and at the level of message content, there are five categories of message content: creating a positive attitude in the audience, comprehensibility, Innovation in the message, specialization of the message, non-repetition of the message and the quality level of advertisements, six categories of up-to-date information, comprehensiveness and inclusiveness of advertisements, personalization of the message, usefulness of information, value of the message, accuracy of information and the level of credibility, which include the categories of source reputation, expression Making the product is the functionality of the product. In the quantitative section that was done using Smart pls software, the results showed that among the identified components, the correct targeting component with a path coefficient of 0.557 had the highest path coefficient.

The purpose of this study was to investigate the effect of scenario planning on strategic innovation considering the mediating role of strategic thinking and strategic flexibility. This research is applied in terms of purpose and descriptive survey in nature. The statistical population of the study is the manufacturing companies of Bushehr province. In order to determine the sample size, the test-software method (G-Power) was used. Based on this, 222 observations were calculated. Using a simple random sampling method with the online survey, 176 questionnaires were finally received by the researchers. Data analysis was performed using the structural equation method and Smart PLS 3 software. Research findings showed that scenario planning has a positive and significant effect on strategic innovation. The mediating effect of strategic flexibility and strategic thinking in the relationship between scenario planning and strategic innovation is also significant. The present study expands the management literature by filling in research gaps. Organizations today need to change their past strategies to be able to understand and meet customer needs faster and more competitively than other competitors.

Analysis of investors’ behavior is a new scientific field in financial behavior, which is a good tool for acquiring this knowledge. Uncertain circumstances cause investors to make systematic mistakes and face cognitive biases in their expectations and decision making, including in assessing stock returns. The purpose of this study is to investigate the extent to which investors follow the pattern of belief updating as a cognitive bias in the use of earnings accounting information to evaluate the stock returns of 205 active companies in Tehran Stock Exchange. Multivariate regression analysis was performed using Eviews 9 software. The results show that by controlling year and industry effects, investors use profitability for most of the past years in following the pattern of belief updating based on two indicators of reducing realized earnings per share and equity returns. The research model is also confirmed by the sensitivity analysis and controlling company effects based on the equity return index. However, it is not confirmed by the two indicators of realized earnings per share and return on assets.

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.