Marketing Strategy

Nowadays, the service industries play an essential role in the economic development of countries, and among the various fields of insurance, life insurance is of particular importance because it covers its cover directly to humans. Increased competition in the insurance industry has led managers to seek marketing strategies that, in addition to increasing insurance sales, reduce costs and gain competitive advantage. Therefore, the purpose of this study was to develop appropriate marketing strategies in the form of scenario-based strategic planning in the life insurance market of Mellat Insurance Company. For this purpose, system dynamics and network data envelopment analysis tools have been used. In order to formulate marketing strategies, the causal-loop diagram and then the flow-stock diagram were simulated for scenario-based strategic planning. Then the operation was performed for different scenarios and the simulated results were put as input to the data envelopment analysis model and based on the obtained results, the best and most efficient scenario was selected. It should be noted that in this study, different scenarios play the role of marketing models and strategies, and their performance has been analyzed.

Increasing competition is one of the characteristics for the market environment in the last few decades. As competition intensifies, decision making and policy making become more complicated for survival or victory in the market, and managers are noticing that short-term plans and incoherent efforts is not enough to solve complex organizational issues. Nowadays, the organizational space, working methods, individual’s relationships, communication-information systems and the adapting unpredictable requirements of the future years must be considered for programming. In this research, 30 Sepah Bank’s marketing strategies explained by experts were evaluated by customers and staff with two separated questionnaires in two stages. The results show that the views of customers and employees are different on the prioritization of strategies.

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.

This study aimed to identify and test expectancy motivational model as a theoretical framework to explain the reasons motivating expected information consumer’s behavior for the selection and use of document delivery services of Shahid Chamran University, Ahvaz. In this study, explanatory survey method was used. In order to test the hypotheses and analysis of model’s data, covariance structural equation model-driven approach was used by Amos software version 23. Findings of analytical study shows that information consumers motivational model focusing on the three paths of expectancy, instrumentality and valence, and on the basis of the VIE model, is able to explain information consumers’ behavior in the document delivery services of Shahid Chamran University; therefore, the VIE model in this study was confirmed. Also according to the proposed table (Newstrom & Davis, 1968), motivation level of information consumers in their behavioral motivation to use document delivery services of Shahid Chamran University of Ahvaz was predicted to be average.