یلدا رحمتی

Evaluating the performance of insurance companies is one of the main challenges of Central Insurance of J.A.A. The current mechanism for evaluating the performance of insurance companies is based on traditional accounting indicators, which is able to evaluate 50% of companies at best, and the marketing performance, whose indicators are based on the market and the policyholder, is not included in the current mechanism. Therefore, the main question is how to design a model to evaluate the performance of insurance companies so that it can provide a realistic picture of their performance? In order to answer the above question, first the current indicators evaluated in companies and the insurance industry in the world were examined and screened. Then, by interviewing internal experts, the final indicators obtained from the background and interview were summarized. The research showed that there is a significant gap in relation to market-based indicators when evaluating the performance of insurance companies. Therefore, the mathematical model of network data coverage analysis based on market indicators was designed. The statistical population includes 28 companies active in Iran's insurance industry. The real data was collected from the documents related to the year 2018 of Central Insurance of J.A.A. The results of solving the mathematical model of performance evaluation of insurance companies showed that only 1 company was efficient in all three stages as well as in general. 12 companies were efficient in one stage, 9 companies were efficient in two stages, while their overall efficiency was less than 1. Also, 6 companies had 100% efficiency in the marketing process and market performance.

The current study aims to identify the dimensions and sub-dimensions of different types of innovation and their impact on market performance based on online statements. The present research is a mixed-method study. In the qualitative part, the statistical population includes narratives related to the dimensions and sub-dimensions of different types of innovation in online shopping stores in Iran. The sampling method was purposive, and 69 narratives were selected. The network of this section was presented using narrative analysis. In the quantitative part, the statistical population included 110 managers of online sales websites. The data collection method was an electronic questionnaire. The results of structural equation modeling using Smart PLS software showed that innovation has a significant effect on the market performance of online shopping stores. The business model innovation dimension with sub-dimensions of business model type and revenue stream; organizational innovation dimension with strategic innovation sub-dimension; marketing innovation dimension with product innovation, price innovation, distribution innovation, promotion innovation, advertising innovation, and customer relationship innovation sub-dimensions; process innovation dimension with technology innovation and safety innovation sub-dimensions; and reputation innovation dimension with trust innovation and expertise innovation sub-dimensions have a significant impact on market performance.

Today, heavy competition in the petrochemical industry among countries requires that attention to the brand issue be given priority, especially companies related to the petrochemical industry in Iran due to the sanctions issues, can move by creating a strong industrial brand to protect their customers. In the present research, the design of the brand performance model in the petrochemical industry was discussed.

The research was conducted in a mixed method. The statistical population of the research included sales and marketing experts of 7 petrochemical companies, and 7 experts from these companies and 238 sales and marketing experts were considered as members of the statistical sample. By conducting interviews with brand experts in the petrochemical industry, as well as library studies, concepts and basic components of brand performance were identified. Among the 28 components identified from library studies, 11 components were identified in the expert analysis as components of the brand performance model, which were the basis of the analysis.

The results of the confirmatory factor analysis showed that among the 11 components mentioned, only 7 components significantly explain the performance of the brand. These 7 components are: sales efficiency, innovation in response, modeling, brand-oriented organizational capital, organizational competitive strategies, product quality, production and sales volume. Also, the results showed that the performance of the brand in the petrochemical industry is not in a favorable state in terms of innovation in customer response and production and sales volume.

One of the consequences of improving the performance of the brand in this industry, according to the research model, can be mentioned the improvement of the quality level of the products, meeting the market expectations, increasing the commitment and loyalty of customers, favorable financial performance and the development and prosperity of the industry.

Understanding the factors affecting the behavioral intentions of food tourists helps to develop food tourism in Iran, because in this way, behavioral responses of tourists can be discovered in the future and appropriate strategic plans can be developed. Therefore, the purpose of study is to design a model of factors affecting the behavioral intentions of food tourists in Guilan as one of the tourism destinations in the country using qualitative methods and classic grounded theory. According to the applied objectives of the research, the population includes tourism experts, marketers, entrepreneurs and food activists who have at least 5 years of useful experience and continuous activity. The selection of samples was done using purposive sampling method and semi-structured interviews with five general questions continued until saturation was achieved in the tenth interview. Data analysis in three stages of open, selective and theoretical coding led to the extraction of 201 concepts, 10 sub-categories and finally 3 main categories. Based on the proposed model, the characteristics of food (quality and safety, attractiveness and food culture) and on the other hand, the characteristics of tourism environment (advertising and information, the status of restaurants and local market situation); they influence the personal characteristics of tourists (food destination association, experience, attachment and satisfaction). Finally, the personal characteristics of food tourists influence tourists' behavioral intentions to travel. In addition, it can be said that behavioral intentions can be directly affected by food characteristics and food tourism environment

Lack of recognition of tourists' behavioral intentions, due to the traditional view of food as a secondary factor of tourism activity and not as a main attraction, the development of strategic food tourism plans, with has encountered difficulties. Therefore, the purpose of study is to modeling a model of factors affecting the behavioral intentions of food tourists in Guilan as one of the most visited tourism destinations in the country using qualitative methods and classic grounded theory. According to the applied objectives of the research, the population includes 12 participants of tourism experts, marketers, entrepreneurs and food activists who have at least 5 years of useful experience and continuous activity. The selection of samples was done using purposive sampling method and semi-structured interviews with five general questions continued until saturation was achieved in the tenth interview. Data analysis in three stages of open, selective and theoretical coding led to the extraction of 201 concepts, 10 sub-categories and finally 3 main categories. Based on the proposed model, the characteristics of food (quality and safety, attractiveness and food culture) and on the other hand, the characteristics of tourism environment (advertising and information, the status of restaurants and local market situation); they influence the personal characteristics of tourists (food destination association, experience, attachment and satisfaction). Finally, the personal characteristics influence tourists' behavioral intentions of tourists towards food consumption to travel. In addition, it can be said that behavioral intentions can be directly affected by food characteristics and food tourism environment.

Today, virtual businesses need to innovate in order to have a better market performance. But the ability of companies to acquire innovation is one of the serious challenges of online stores; Based on this, the present research has been done with the aim of designing a model for innovation on the market performance of online shopping websites with the approach of narrative analysis. This study has a qualitative approach. The statistical population included all narratives related to the dimensions of innovation and market performance of prominent online shopping websites in the country. With the help of judgmental sampling method, 69 narratives were examined. Narratives have been analyzed by searching websites and blogs and using the three-step open, central and selective coding method in the form of a topic network. The results indicated 7 organizing themes and 161 basic themes. The identified dimensions include the business model innovation dimension (the sub-dimension of business model type and revenue flow), the organizational innovation dimension (the structure innovation sub-dimension, strategic innovation and innovation culture), the marketing innovation dimension (the product innovation sub-dimension, price innovation, distribution innovation , promotion innovation, advertising innovation, customer segmentation innovation, value proposition innovation and customer relationship innovation), process innovation dimension (technology innovation sub-dimension and safety innovation), credibility innovation dimension (trust innovation sub-dimension and expertise innovation) and market performance dimension ( sub-dimensions of financial performance and non-financial performance) which were included under the overarching themes of innovation and performance of prominent online shopping websites in the country.

The main purpose of this study was to analyze the antecedents and consequences of market orientation in the Iranian banking industry and to present a conceptual model in this field. In order to achieve this goal, first five main perspectives of market orientation including decision-making perspective, market knowledge perspective, culture-based behavioral perspective, strategic perspective and customer orientation perspective and the factors affecting them were studied. Then, the common elements of these views were extracted and using the findings of previous researches, qualitative data were collected in order to design a model. For this purpose, the opinions of 50 experts and specialists in the banking industry were received and coded for content analysis. Based on the results of data analysis, senior management characteristics, structural and organizational characteristics and cross-sectoral interactions were identified as internal antecedents of market orientation in the Iranian banking industry. Competition structure, market turmoil, technology turmoil were also among the external antecedents of market orientation in the country's banking industry. The consequences of market orientation were also categorized and identified in two groups of economic performance (profitability, return on investment, sales volume, sales growth) and non-economic factors (employee outcomes and customer outcomes).

The purpose of writing the current research is to represent a model to measure competitive strength in Tejarat bank. Data gathering ‎tools are interview and questionnaire. Statistical society includes two different parts of Tejarat Bank experts (10 ones) and experts ‎along with 1750 managers in different levels of the bank from which 316 ones were selected by Cochran sampling formula. First of ‎all, preliminary mdel was extracted interviewing experts. Continuously applying structural equation model in LISREL software ‎environment the extracted model was tested and finally final definitive model of sompetitive strength in includes internal resource ‎‎(contains financial. Technological, managerial and marketing), market intelligence (contains intelligence making and responsibility) ‎and onlie relationship marketing (online exchange quality, online content quality and e-service quality) was gained. ‎

By increasing knowledge about the role of the brand in the success of industrial markets, the attention of buyers and suppliers in the industrial market, understanding the major factors affecting the performance of the industrial brand becomes important. Today, the petrochemical industry has played an important role in non-oil exports. Therefore, companies related to the petrochemical industry can play an effective role in the economic development of the country by creating an industrial brand. The purpose of this research is to analyze the factors affecting brand performance in the petrochemical industry.

In this study, through literature study, interviews with industry-related experts and analysis of data obtained through data analysis of the foundation, the main criteria related to brand performance were identified and classified, and in the next step using Dimatel decision method, the causal network structure of the criteria and sub-criteria were examined.

In the qualitative phase of the paradigm model of the research, 10 main criteria were identified, including brand equity, sales efficiency, innovation in response, company reputation, modeling, brand-based organizational capital, organizational competitive strategies, distribution, product quality, production and volume and finally using Dimatel decision making method, organizational competitive strategies were identified as the most influential factor.

 In this article, while using the appropriate features of qualitative and quantitative methods, provided a deeper understanding of the key factors affecting the success of the petrochemical industry brand performance and by providing a new model provides better competitiveness in this industry

The purpose of this study is to fit the indigenous model of market orientation in the Iranian banking industry. The present study is mixed (qualitative-quantitative) and in the first stage, the qualitative method with Strauss-Corbin approach was used to construct the model and in the second stage, the structural equation method was used to test the model. After studying the theoretical foundations of market orientation, designing interview questions, conducting interviews and achieving theoretical saturation, a questionnaire was developed that was 288 items in 59 concepts. In order to check the validity of the final questionnaire, it was distributed among 12 industry and academic experts and after calculating the CVR of items, this value was reduced to 212 items in the form of 58 items. In the qualitative part of the statistical population included prominent banking experts and in the second step, which was the quantitative part of the research, a research questionnaire was distributed among middle managers, senior managers and experts of 33 banks in the country. The results showed that in the qualitative section, 54 concepts obtained were placed in 6 categories including strategies and actions, causal conditions, contextual conditions, intervening conditions, consequences and central phenomena. Also, according to the software output in the quantitative part, the path coefficient value for the 5 relationships between the components of the model has a positive value, which means that the relationships are direct and only the variable relationship of interfering factors and strategies has a negative sign.

The present study was conducted with the aim of ranking the factors affecting the performance of the sales network in the insurance industry.

In the present study, the in-depth interview method was used to identify the factors and the network analysis method was used to rank the factors. The statistical population includes all experts in the insurance industry in Gilan province, including the insurance industry sales network, with experience and higher education, and technical and staff managers and major insurers, among whom 17 of them with the conditions of having at least a degree Master's degree and work experience of at least 15 years in the insurance industry and by snowball method were selected as a statistical sample for interview and completion of a pairwise comparison questionnaire.

The findings show that the performance of the sales network in the insurance industry is a function of individual factors related to agents and factors related to the organization of agents, insurance agent performance, factors related to central insurance, factors related to the insurance company, and environmental factors. Also, the findings of the ranking section have shown that the individual factors related to the representatives of the first rank and the organizational factors related to the representatives, the factors related to the central insurance, environmental factors and the factors related to the insurance company are ranked first to fourth, respectively.

Transportation demand management (TDM), refers to an approach which tends to more efficient use of transportation resources of a city. Typically, car use reduction is said to be the main goal of this approach to avoid congestion problem. A part of daily car usage in cities is due to commuters’ long trips. It is a crucial issue to attract people out of their cars in long trips because of the high proportion of such trips in vehicle-kilometer traveled as a proxy of transportation emission. . This study focuses on managing the demand of long car trips which their destinations are in the central part of the city of Tehran. Therefore, three push policies (i.e., increasing fuel cost, increasing parking cost, and cordon pricing) and two pull policies (i.e., transit time reduction and transit access improvement) are investigated on 240 commuters who their workplaces are in the central part of the city and their driving distance is more than 8 kilometers. Adopting an approach named multi-instrumentality, design of this study is enhanced by considering TDM policies’ interactions. By developing a behavioral mode choice model in form of multinomial logit, significant transportation related variables are discovered and interpreted, respectively. The application of model regarding to the effect of cordon pricing policy on car usage is also presented.

Congestion due to the use of private cars is a common problem for large cities and imposes environmental and social costs. Transportation demand management (TDM), therefore, refers to an approach which directs to a more efficient use of urban transportation resources. Typically, reduction in private car use is the main goal of this approach. A major part of daily car usage in cities is due to commuters’ short trips which are more subjected to mode change because of having fewer constraints. This study focuses on managing the demand for short trips whose destinations are Tehran central. Two pull policies (i.e. transit time reduction and transit access improvement) and three push policies (i.e. increasing fuel cost, increasing parking cost, and cordon pricing) are investigated on 126 commuters whose workplaces are in Tehran central and their driving distance is less than eight kilometers. Adopting an approach, namely multi-instrumentality, design of this study is enhanced by considering interactions of TDM policies. By developing a behavioral mode choice model in the form of multinomial logit, significant transportation-related variables are discovered and interpreted, respectively. The application of model regarding the effect of cordon pricing policy on private car usage is also presented.