JOURNAL OF BUSINESS ADMINISTRATION RESEARCH
Year:2012 | Volume:4 | Issue:7|Papers Count:7

This study investigated factors affecting customer satisfaction in banking services using the new approach to measurement of service quality and value proposition simultaneously. In this study, the authors perform a review of the set of attributes which are capable of being incorporated in the measure of customer satisfaction in Mehr Finance and Credit institution. Later, the possibility is posed of grouping these attributes into dimensions of quality, proceeding to value various alternative structures by means of confirmatory factor analysis methodology and testing their reliability and validity. The findings from this study reveal that service quality in Mehr Finance and Credit institution has a two-factor structure: Value proposition quality and Service delivery quality.

Commercial experts paid a little attention to intangible asset in organizations as a lever to influence marketing capabilities up to now. While in the resource viewpoint there is a belief that inimitable, valuable, rare and socially complex resources and capabilities provide a better comparative advantage. Hence this study aims to propose and examine a conceptual model for the relation between intangible assets and performance of commercial organizations in accordance with the resource viewpoint. So naturally it is a descriptive/survey research. The proposed model was examined and investigated by a statistical society consisted of 167 high and middle ranking managers and commercial experts of four active companies in steel industry in Khuzestan province of Iran. Thereupon, five variables, knowledge-human asset, informative asset, communicative asset, organizational asset, social asset and also marketing capabilities were tested in the frame of 6 hypotheses and 36 indexes. More than acceptance of all hypotheses the results showed that the strongest relation was between knowledge-human asset and marketing capabilities with the correlation coefficient of 0.378 and the weakest one was between social asset and marketing capabilities with the correlation coefficient of 0.318. Meanwhile the index of the capability of keeping and applying knowledge and the index of the expansion of business familiarities were identified as the most and the least important indexes, respectively, with the scores of 8.81 and 7.61.

Understanding of product– market strategies has created a serious challenge for the researchers in the field of market strategic management. These researchers need information on the firm’s competitors and internal capabilities such as marketing capabilities in order to understand product– market strategy. However, the relationship between firms’ product- market strategies and their market performance and marketing capabilities has been less studied. This study seeks to investigate the effect of different dimensions of product- market strategy including cost leadership, differentiation and product- market scope on the architectural and specialized marketing capabilities and their impact on the market performance. The statistical population, in this research, is included the exporter and importer firms of customs of Islamic republic of Iran. A questionnaire used to collect data needed to test eight hypotheses of this study. The questionnaire is distributed among 401 exporter and importer firms representatives from four customs surveillance area (Hormozgan, Khuzestan, Sistan-Baluchestan and Bushehr). SPSS and LISREL are used for model analysis and hypotheses verification. The results of the analysis showed that the effect of strategy of cost leadership, differentiation and product-market scope on the architectural and specialized marketing capabilities are significant and positive. Also, both architectural and specialized marketing capabilities have significant positive relation with market performance. Additionally, the results of the model test showed that the research model fits well.

The different organizational levels of strategies are planned for a suitable react related to environmental factors. Consequently, it is crucial for organizations to confirm these strategies with organizational changes. After studying of literature about Business level strategies and environmental uncertainty, we proposed a suitable model. With combination of Porter and Miles & Snow models, four types of business strategy were introduced that included: prospector, analyzer, low-cost defender and differentiation defender. The statistical society included 44 managers and experts from Pegah Fars company and 32 managers and experts of Sham Sham company and we used Questionnaire to collect data. The results showed that there is difference between expected and existed situation of business strategy in both companies. Also base on the conceptual model, there is not fitness between business strategy and external environment, in both companies.

In this article we attempt to design a comprehensive model for goods procurement and distribution network (GPDN) in Iran. The emphasis of this model is on improvement of efficiency, productivity, economy of scale and reducing physical distribution cost of goods in the country. Statistical sample has taken from expert and marketing managers of Ministry of Commerce, Ministry of Cooperation, distribution cooperation companies, chamber of cooperation, chain stores, goods distributors and transportation companies. The result shows that the performance of goods distribution system of Iran is not appropriate. Traditional structure of goods distribution channels caused that physical distribution cost is more than 50% of end user price of goods. So distribution system needs a new structure as National Marketing Center (NMC) to branding, smart advertising, integrating distribution network and clustering in the country NMC can manage the new GPDN in association with 6 ministries and cooperation of private sector companies like goods distributors, chain stores, wholesalers and transportation companies. This situation can result to reducing prices, shortening distribution channel, increasing productivity of distribution network and purchasing power of consumers. At the end of article, model of GPDN along with situation, role and communication of different players in this network has been showed.

In most industries the cost of raw materials and component parts constitutes almost 60% percent of cost of a product (in some industries up to 80%). In this situation, proper sourcing can play a key role in an organization’s efficiency and effectiveness, because it has a direct effect on cost reduction, profitability and flexibility of a company. In this paper, determining the optimal order quantity in multi supplier, multi product and during several periods, allowing shortage and surplus, in presence of incremental discounts, and considering multi objective and multi criteria nature of the problem, is considered. Demand of each product i in period t is assumed to be known. To incorporate the effective criteria, analytic network process approach is used. After developing the multi objective mixed integer programming, a numerical exampleis presented. Result shows that decision maker can select right set of suppliers, so that in addition to minimize total cost, lead time, and reject rate, maximize the utility function. At the end, results and suggestion will be provided.

In this study, the aggregate earnings-price ratio is decomposed into it’s positive and negative components and the ability of this components to predict of Tehran Exchange Price Index (TEPIX) are examined separately. The history shows that no research has been performed in this field in Iran. The basic question is whether the negative components compared with the positive has more ability to predict TEPIX? The statistical population includes companies that have been accepted at Tehran Stock Exchange (TSE). For selection of companies to test the research hypothesis, the elimination method is used. Positive and negative components calculated In terms of weighted average of the quarterly net amount of earnings per share to price and Is evaluated its relationship with Index values calculated for the entire sample of companies and each of the two groups namely profitable and loss companies. Using one-variable and two-variable linear regression models, the research hypothesis is tested. For this purpose, the study period used is from the early 1995until the late 2010 for 100 listed companies in TSE. The result of Hypothesis test shows that the negative components have a greater ability to predict the TEPIX.