JOURNAL OF BUSINESS ADMINISTRATION RESEARCH
Year:2017 | Volume:8 | Issue:16 |Papers Count:12

The aim of this study was to identify the factors influencing the loyalty of football players to sports apparel brands in the eleventh round of the Iranian Premier League. The methodology of this research was surveying, and the studied population was formed of players who participated in the eleventh round of Premier Football League (n=426). The final study sample included 263 members of the Premier League. The questionnaire for data collection on brand loyalty was based on that used by Wong Foong and yahyah (2008) with the reliability of (a=0.73). Analysis was done using ANOVA (analysis of variance) with repeated measures, and Bunfrony comparison test at a significance level of 0.05 was conducted with spss19 software. The results showed that the factors of product quality, its brand, and its model were more effective than other factors on the loyalty to a sports apparel brand. Therefore, managers and planners of the sportswear industry should try to create or modify their models to increase the brand loyalty and the product quality with which to provide a basis for increasing the rate of customers’ loyalty and, thus, to provide for long-term interests of their business.

Nowadays, the ability of organizations has increased to identify target markets with data mining techniques. Clustering is a method in which a cluster of objects is made somehow similar to characteristics. In a market segmentation process, customers are segmented such that the customers of the same type are placed in the same group, and various groups have minimal affinity. Then, a marketing strategy should be matched to the specifications of these groups. With larger databases, researchers attempt to focus on finding effective clustering methods in order to make effective decisions. In this paper, we cluster the trail markets in Iran with the ant colony optimization algorithm, and, to further investigate the accuracy of this model, we compared the results with a classic clustering K-Mean. The paper presents an ant colony optimization methodology for optimal clustering of N objects into K clusters. The results show the higher accuracy of the ant colony optimization.

The key to successful marketing strategies in local markets and global markets is to understand consumers’ behavior. Thus, identification of their needs and the factors affecting their choice of brands is obviously essential. The present study seeks to evaluate the performance of insurance companys through brand performance evaluation using the data envelopment analysis approach. The input in this study includes the number of employees, the number of branches, general and administrative expenses, and the total assets. The output includes brand loyalty, brand awareness, the dependence of perceived quality (brand grafts), and other proprietary brand assets.

The research is conducted with the aim of investigating the role of top managers in Green Purchasing Standards of Yazd in the tile industry. There are few studies in the field of green purchasing which examine the effects of top managers with regard to regulatory requirements, customer pressures, and suppliers’ opportunities to document green procurement requirements. This research is an attempt to fill in the gap and to discover the impact of main decision-making drivers of green purchasing in companies. The research is conducted by using 120 questionnaires sent to top managers (i.e. CEO, business manager, and production manager) of 30 tile companies in Yazd. After collecting the data through interviews and questionnaires to measure the variables, a structural equation modeling is presented. The empirical results show that environmental collaboration with suppliers and top management commitment have a significant positive impact on a company's green purchasing. Moreover, top management commitment affects green purchasing indirectly through environmental collaboration with suppliers. Finally, top management commitment is the primary incentive for the success of a company in utilizing green purchasing standards.

The purpose of this study is to detect the relationship between marketing knowledge management (MKM) and organizational performance and the relationship between the factors of performance. A quantitative methodology is adopted in which a model is developed, and certain hypotheses are stated in order to examine the proposed model. A highly structured questionnaire is developed and distributed to a sample of managers and assistant directors in banks. Of those distributed, 110 questionnaires are returned, but the number of valid and usable questionnaires is 98. The results from the study show that there is a significant positive correlation between MKM components and performance organization. In addition, it is shown that the market and finance have the greatest and the least impact on the performance of organizations respectively. The solid relationship among knowledge management, marketing and market performance suggests the importance of knowledge for markets to be successful in gaining shares and high positions in the banking industry.

The purpose of the present research is to evaluate the quality of educational services in the physical education faculties of IAU branches across Iran and designing a model for it. The research is of a descriptive-analytical type carried out as a field study. The population consisted of all the postgraduate students of physical education in different branches of IAU. As many as 488 students were selected as a sample using stratified random sampling and Cochran's formula. A researcher-made questionnaire (PE SERVQUAL) was used for data collection. Paired t-test, Friedman test and SEM were applied for data analysis. The results showed that there is a significant difference between the desired and the actual conditions of educational services in the physical education faculties of IAU (p<0.05). The mean scores of the desired condition were higher than those of the current condition. Moreover, among BA and AM students, in the dimensions of educational service quality, competence was the highest priority while responsibility and responsiveness were the lowest priorities. Among PhD students, in the dimensions of educational service quality, assurance was the highest priority while empathy was the lowest priorities. In general, the quality of educational services should increase in the PE faculties of IAU.

Customer involvement in new product development enables some companies to identify complex and dynamic environments and adjust themselves with them by receiving information and knowledge from the customers. For an industrial firm to be successful within the market, it is essential to focus on improving the capability of developing new products. The purpose of this study is to examining the role of customer involvement in new product development. The conceptual model and the research hypotheses have been determined according to a literature review of this realm. In this study, sampling is judgmental done of managers, suppliers, sellers and customers in Yazd tile industries. The data are collected using a questionnaire, and data analysis serves to evaluate the hypothesis through structural equation modeling (SEM) and the method of Partial Least Squares (PLS). The results reveal that the relationship between customer involvement and new product development is positive and significant. Also, through the hypothesis, this relationship is held corresponding to the mediator variable of new product performance, which shows that the impact of customer involvement on new product development is positive and significant.

The concept of organizational performance over the past two decades has been at the center of developments in public administration and has become a major goal. Information and communication technology, the increasing prosperity, and large impacts on all facets of society, including labor and employment, have led to the phenomenon of teleworking (i.e. the work done at a distance). On the other hand, human resources, quality of life and burnout are among the most important issues that impact organizational performance and the trend toward telecommuting. In this research, using a descriptive method, a model is provided to evaluate various aspects of teleworking, organizational performance, burnout and quality of life as well as to consider their impacts on organizational performance. The study involved all the employees of the government agencies in Yazd including 3, 000 people. As many as 342 were selected from the whole initial population using a simple random sampling method. To analyze the data, structural equation modeling is used. The results of the data analysis show that there is a significant relationship between quality of life and organizational performance, between teleworking and organizational performance, between burnout and organizational performance, and between burnout and teleworking period at the coefficients of 0.584, 0.369, 0.281, and 0.572 respectively. However, quality of life and teleworking are found to be correlated not significantly; the correlation coefficient is 0.102. The results also suggest that, with regard to quality of life and burnout, providing conditions for telework can increase organizational performance.

Basket analysis is one of the most important applications in data mining with a focus on buying patterns discovered through transaction data. In many stores, exchanges and sales are the only source of data mining. Data Mining is the extraction of knowledge from raw data. By mining the desired data in databases, useful information and knowledge is provided. Data mining is used in various applications and used as a tool for analyzing customer manager relationships. Given the importance of applying data mining techniques to extract knowledge from huge volumes of sales data and the impact of this information on profitability and improvement of customer manager relationships, this article aims at the use of data mining techniques to analyze the customers’ basket in one of the branches of chain stores in the city of Arak. The results show that applying data mining techniques to discover items that are purchased together leads to an increase in the customer satisfaction and, in turn, store profitability. In this regard, the association algorithm is used to discover the customers’ buying pattern. Finally, certain strategies are proposed to improve the performance of shops and stores.

Nowadays, advertising has become an integral part of economic units. In this context, advertising with celebrities is one of the most attractive way of introducing and reinforcing a company’s brands. Identification of factors that lead to the choice of attractive celebrity and advertising effectiveness is the aim of this article. The factors identified in this study include likeability, attractiveness, familiarity, and similarity. The research is applied in nature, and its methodology description and survey conducted through data collection. The study sample consists of students of Allameh Tabatabai University in 1392. The available stratified sampling is used to collect the data. The sample size is 374, and, for it, 400 questionnaires on ECUT advertisement have been distributed while 386 are returned. For data analysis, testing hypotheses and research questions, LISREL software has been used. The results show that familiarity and likeability have a significant impact on the celebrities' attractiveness (at a confidence level of 95%). Also, likeability is the only factor that has a positive impact, familiarity has a negative impact on the attractiveness, and similarity has no impact on attractiveness. In general, attractiveness has a positive impact on the effectiveness of advertisements.

This article aims to review and explain the relationship between knowledge business strategies and knowledge development strategies in Khoozestan gas company. The methods of cross-correlation and surveying are used for the study. The study population consists of 201 randomly selected managers and employees in the gas company. The data are collected by two 5-point Likert questionnaires on knowledge business strategies and strategies for the development of knowledge. The reliability rates of the questionnaires are evaluated based on Cronbach's Alpha Coefficient and found to be 0.79 and 0.77 respectively. Data analysis was descriptive and through inferential statistics. To investigate the relationship between knowledge business strategies and development strategies, structural equation modeling Techniques and Pearson correlation are used. For this purpose, LISREL and SPSS software programs are also used. The results show that all the hypotheses are confirmed with the confidence of 99%. So, the dimensions of knowledge business strategy and knowledge development strategies have a statistically significant positive relationship.

This study aims at financial marketing in combination with stock exchange. In this regard, an attempt is made to clarify the concept of financial marketing in exchange securities. The study is conducted on the stock exchange of Tehran as it was in 1393. The study is descriptive in nature based on a qualitative approach. The methodology is decided to be so because it is appropriate for obtaining information on attitudes, beliefs, opinions, behaviors and characteristics of a study population. The data were collected from interviews with the capital market experts. The results show that financial market exchange is essentially different from real goods marketing. This type of marketing focuses on information rather than on the traditional marketing features such as product, price, packaging, advertising, promotion, as well as place and time of product delivery.. In fact, what leads to a decision in financial markets is a comprehensive and easy access to information and analysis of it. This not only leads to determining of the correct price of shares and other securities by market participants but also helps the shares reach their real worth. This also promotes the efficiency of the capital market in the country.