درخت حوزه‌های تخصصی

In this research, researchers deal with the study of the antecedents and consequences model of the brand attachment in the form of CBR. In this study, consumer-brand relationships are divided into two kinds: communal and exchange ones. The statistical society totally consists of 864 students of the marketing in Tehran City. The available relationships in the model are separately examined by using the structural equations modelling (AMOS 5.0) within each group in order to test the model and hypothesis. The results of the research show that the variables including brand experience, brand love, commitment, trust, in the communal group play a more effective role than the others in producing the brand attachment, also the variables such as brand reliability, brand satisfaction in the exchange group are among the fundamental ones for developing the brand attachment. This study is the first attempt to identify the importance of relationships aspects in young adult consumer. The current study extends branding literature by shedding lights on the roles of communal/exchange relationships factors in brand management, which also help brand managers.

The purpose of this research was to rank Information Technology (IT) dimensions using sustainable development criteria. The present research belongs to the category of applied research in terms of objective and descriptive survey in terms of data collection. To this end, the six dimensions of IT have been ranked according to three areas of sustainable development. Ratings were done using Gray Relational Analysis (GRA) through the GRAY RELATION software. It is worth noting that the statistical population included all managers of executive organizations in the northwest provinces of Iran. The result of using the GRA methodology to rank the IT components through sustainable development dimensions has ranked the six dimensions in terms of scores obtained as follows service quality, information quality, system satisfaction, perceived benefits, system quality, and IT usage.

The present study is intended to examine relationship among competency and succession planning in Telecommunication Infrastructure Company of Iran (TICIR). This study was carried out as an applied research in terms of objective and it was assumed as a descriptive survey by taking approach toward interpretative structural modeling. The statistical population of this study comprised of two groups of experts and directors (Directors general, chairmen of offices, responsible experts and experts of TICIR Company). To determine sample size for first statistical population, 20 of experts were elected using non-randomized and selective sampling method and in order to specify sample size for second statistical population 340 participants were chosen including directors general, deputies of directors general, chairmen of offices, responsible experts and other experts of TICIR Company.The result from succession planning model showed that the variable of succession planning reached to a level higher than satisfactory rate therefore all of the related elements were placed higher than satisfactory level except variable of commitment that was at good level. Similarly, variable of competency was also placed at the level higher than satisfactory rate in this study. Therefore, all of these variables reached to the level higher than satisfactory rate.

The purpose of the current study is to identify the aspects of cause-related marketing in the banking system and determine the outcomes of implementing cause-related marketing. Design, methodology, and approach: The research methodology is qualitative with in-depth interviews with 16 senior managers. Data were analyzed using open coding, axial coding, selective coding, and the software named MaxQDA12pro. The results revealed that the aspects of cause-related marketing were affected by internal and external factors as well as their categories. The emergence of a new marketing concept for audiences has made it difficult to carry out the research. The qualitative research approach was mainly implemented in the working field of the experts, with the resulting model created from their opinions. Banks must implement different strategies for different groups. Implementing cause-related marketing results in social, economic, marketing, and environmental outcomes for banks and the country, each of which affecting the banking activities. If cause-related marketing penetrates into consumer attitudes and behaviors, it will be a marketing tool required to improve organizational reputation, develop a brand image of the company, raise customer satisfaction and loyalty, increase sales, and in the meantime benefit the community. This qualitative research helps companies that consider new consumers understand their needs and demands, share their values with them, and remain in the current competitive environment. Hence, cause-related marketing can be a safe and distinguished tool in their success.

One of the most important applications of data envelopment analysis tech-nique is measuring the efficiency of bank branches. Performance measure-ment in the banking industry is important for several groups, including bank managers, customers, investors, and shareholders. The purpose of this study is to examine and design a mixed structure to measure the efficiency of branches of Iranian banks according to their policies. In order to obtain the efficiency of the structure divisions proposed in this study, a slack-based NDEA model was selected to solve its mathematical model. The study sam-ple consists of 31 branches of a large commercial bank in Iran. The ad-vantage of this research to previous studies is that the result will be more realistic considering the inputs and outputs consistent with Iran's banking conditions.

Agility of the supply chain is one of the main challenges in organizations which acting in a dynamic and complex environment, which they have to be able to answer to customers quickly. But the agility of supply chain is influenced by different agents. Using the model based on agent, this study has tried to simulate the agility of supply chain in an institute of higher education. There are three impressive elements are used in this model called as: smooth, offender and fault case, which those are also categorized in two groups impressive and impressible. There is a model is designed by using NETLOGO software which examines the impression and impressibility on each other. After executing the model at the case studied university at point of Time-769, the organization’s improvement will be possible in the best estate. All offender elements are reduced at this point.

Thisstudy provided a comprehensive model for identifying and explaining factors affecting burnout of faculty members. In this study, a descriptive-exploratory method with in-depth interviews were used. It was an applied, quantitative and non-experimental research. The instrument was a researcher-made questionnaire whose items were identified based on the review of secondary sources  as well as semi-structured and structured interviews. Structural equation modeling was used to analyze findings. The results showed that all identified factors included emotional exhaustion, decrease in success, depersonalization, organizational factors, demographic factors, individual factors, organizational indifference, quality of working life, organizational commitment, occupational performance and flattening had an effect on burnout. The results showed that among the identified factors, emotional exhaustion had the most effect on the burnout of faculty members.

One of the main concerns of investors is the evaluation of the return on investment, which is conducted using various models such as the CAPM (single-factor model), Fama-French three/five-factor models, and Roy and Shijin’s six-factor model and other models known as multi-factor models. Despite the widespread use of these models, their major drawbacks include sensitivity to unexpected changes, sudden shocks, high turbulence of price bubble, and so on. To eliminate such negatives, the multi-factor model using the penalty function method is used, in which, instead of averaging, the optimization and avoidance of the effects of abnormal changes and other factors affecting the capital market are considered. In order to evaluate stock returns, it is possible to select effective factors, to simulate and develop a model appropriate to the conditions governing the capital market in Iran. In the present study, by forming portfolios of investments and identifying and refining effective factors, the classification and estimation of the hybrid model of penalty and multi-factor (P & PCA) functions were performed based on the functional data during 2007-2017. The results of this study indicated that the extensive use of the simulation algorithm for the penalty function in the form of P & PCA estimation method improves the efficiency of multi-factor methods in stock return evaluation, and that the use of the hybrid algorithm of penalty and multi-factor functions, compared to the exclusive use of multi-factor models, brings a higher accuracy in estimating stock returns.