JOURNAL OF BUSINESS MANAGEMENT
Year:2017 | Volume:8 | Issue:4 |Papers Count:13

The goal of present study is to determine the effect of industrial brand equity on ingredient brand equity component and also on end-user's purchase intention in Tehran’s laptop market. Statistical Society of present study is all of the laptop buyers in Tehran city. The research's model was assessed with a sample size of 200 subjects, selected using cluster sampling method. The required data was gathered with the application of a questionnaire whose validity was measured earlier. These data were analyzed in Amos 20 and SPSS 18, employing structural equations model, path analysis, and regression analysis. Finally, it was determined that in Tehran’s laptop market, industrial brand equity increased loyalty, perceived quality, and ingredient brand equity image. In addition, there was not any positive and significant correlation between industrial brand equity with association and awareness of ingredient brand equity. Moreover, it was confirmed that loyalty, perceived quality, image of ingredient brand positively affected end-user purchasing intention. In contrast, ingredient brand association and awareness did not show such impact.

This research aims to discover children’s experiences of exposure to overweight cartoon characters used in promotional activity, especially by food industry. In order to discover participants’ experiences during exposure to overweight promotional characters, hermeneutic phenomenological method –because of its suitability- was used. Thirteen children (six to eleven years old) were selected through snowball approach to participate in this study. In order to data gathering, thematic stories and in-depth interview were used. Results from coding indicated that popularity of overweight cartoon characters could lead to accept overweight stereotypes (e.g. overeating) and affect children’s food requests. These characters could be effective in persuading children to try unfamiliar food options when they are used to promote new foods.

An individual’s choice for a particular destination depends on it's characteristics and different motivation of visitors. Therefore, in order to identify coastal tourist's profiles and motivation, this research was conducted among tourists who visit's coast of Bushehr in southern Iran. Research data was collected through a questionnaire, which consists of two parts. In the first part of the questionnaire the motivational factors that attracting people to the destination where investigated and in the second part the facility of place were evaluated by tourists. Using a convenience sample, 207 surveys were collected and analyzed with self-organizing maps (SOM) that based on artificial neural networks. Clustering results showed three clusters of tourists: beach attractions and various activities seekers, Recreation seekers and relaxation seekers. According to these results, appropriate marketing strategies suggested to effectively develop tourism policies in each segment.

Today, many organizations believe that brand is one of the most valuable assets. The most important characteristics of a brand are brand trust and equity. Various factors affect the brand trust and equity such as religious beliefs. This research studies the impact of religious beliefs on brand trust and equity of customers in the Astan Quds Razavi food industry. This research in terms of purpose is an applied and due to it's method of performance, is a survey research. The statistic population of the study includes customers of Astan Quds Razavi products in Mashhad city and the number of member samples was 384 persons who were selected by random sampling method. A questionnaire was used for data collection. Data analysis was implemented by structural equation model and using LISREL software. Considering the findings of this research, the religious beliefs as an independent variable of customers has a positive and significant effect on brand value as a dependent variable of the firm (which is consequent of trust variables and the brand equity).

The aim of this study is to examine the effect of social responsibility on customer trust and purchase intention wuth emphasis on the mediator role of customer satisfaction. This study is an applied research and is a Descriptive-Survey research by Method. A sample consisting the customer of 27 bank in thee sity of shiraz. Standard questionnaire was used for collect data and Smart PLS and Spss softwares were used for data analysis in this study. The results of tests shows that corporate social responsibility (CSR) have direct positive effect on purchase intention and also have have indirect positive effect on customer trust with the role of customer satisfaction as the mediator but the hypothesis that base on the direct impact of CSR on customer trust has been rejected.

The aim of this study is to examine the impact of Iranian consumer cosmopolitanism on their attitude toward domestic products by mediating role of consumer ethnocentrism. The study population is Iranian consumers of domestic products in Mashhad city. Number of sample was determined by Cochran formula for unknown population 384 and finally 381 acceptable questionnaires were gathered by Non-random available sampling and were analyzed using Smart PLS. The results showed that Iranian consumers cosmopolitanism has a negative and meaningful effect and their ethnocentrism has a positive and meaningful effect on their attitude toward domestic products in Mashhad city, but consumers cosmopolitanism do not affect their attitude toward domestic products directly.

Research indicated that tourists' behavior is affected by their perceptions on destination image and the issue is observed in the stage of destination choice. Researchers believed that various factors would affect the formation of destination image. Hence, this research aims to design and explain a model of word of mouth influence on tourists' destination image and travel intention. Research model was based on prior local and foreign studies, academic experts, managers of tourism industry, and researcher's propositions. Data was collected by questionnaire and was analyzed by SPSS and LISREL software. Population was international tourists who have visited Isfahan during January and February 2015. A convenience sampling approach was employed to collect a sample of 450 tourists. Confirmatory factor analysis was used to confirm the proposed constructs. According to path analysis, 19 hypotheses were supported by the data.

The role of customer relationship management as a strategic tool in development of manufacturing and service organizations, and also acquisition and retention customers in competitive industries, is undeniable. Identification, valuation and classification of customers and allocating resources to them based on their value for organization are the main concerns in customer relationship management. One of the most important tool in this direction, is calculating and predicting customer lifetime value (CLV). “CLV” is a value which is expected customer bring to the organization in specified period.In this paper, calculating and predicting customer lifetime value is as a key tool in the implementation of customer relationship management in banking. The GMDH neural networks due to its high performance in terms of prediction, is applied and with genuine customer demographic and transactional information of a private Iranian bank, the CLV forecasting is evaluated. The results show that this tool can be used to accurately predict over 90% of customer lifetime value.

In pharmaceutical industries, marketing and sales managers face many sales data from distributor companies. One of the methods that might help them to control the market, competing with rivals, devising the best plan to increase the sales and finally organizing the business activities, is to know about possible segmentations of costumers. The main purpose of this paper is to help the pharmaceutical industry marketing and sales managers, by the way of setting and analyzing different segments of costumers and to give proper suggestions that are appropriate for each segment, in order to maintain and increase the purchase trend using data mining methods.In this research based on regency, frequency, monetary and the purchase duration variables in RFML model, pharmacies are divided into different clusters and then analyzed. As a result of this segmentation, three categories of pharmacies will be recognized: premium, normal and cold and accordingly, the related analysis is provided.

Nowadays most of the large scale organizations have developed Strategies as a formal and critical document. Periodic assessment of strategy robustness and effeteness against the future uncertainties specifically in a dynamic and turbulent business environment is inevitable. Most of the traditional models mainly focused on the strategy assessment during or after strategy implementation. This paper proposes a practical, analytical and quantitative ex-ante strategy assessment model to evaluate the effectiveness of the formulated strategies in the context of futures study. In order to show the practically and usefulness of the proposed model an empirical study of the NIOC strategy is demonstrated. The results show the effectiveness of the NIOC strategies against future uncertainties.