The purpose of this paper is to explore the impact of industry competitive intensity on brand performance that marketing capabilities and market-focused learning and organizational innovation have the mediator role. Survey of top firms of Tehran Stock Exchange for the last 4 years is explored. We used questionnaire for gathering data and 77 firms of 92 responded to the questionnaire . In order to test the validity of the questionnaire Dillon - Goldstein (cρ =0/70) coefficient used. AVE was used to assess the validity of indicators that show the validity of the questionnaire have been favorable .This study analyzed the data in two levels of descriptive and inferential statistics using Smart PLS ,Spss18, Excel2007. To calculate the significant path coefficient and to gain the test statistic T we used Astrab boot ( via insertion of the sampling method ). The results show that industry competitive intensity has a positive and significant effect on brand performance and all hypotheses were confirmed . The mediation effect of marketing capabilities and market-focused learning and organizational innovation was approved too.
Nowadays, most of Businesses have faced a great challenge for entering a new market. The existence conditions have forced the managers to apply the innovative methods for simultaneous analyzing of various factors for arrival to special markets. This paper prioritizes a few target markets using two methods. First, the problem is solved by the combined method of hierarchical analysis and Monte Carlo simulation, and then by the method of fuzzy hierarchical analysis and finally the results of both methods are compared. The considered problem in this study relates to a factory of prefabricated building components that is looking for establishing the sale agencies in appropriate towns in order to introduce and distribute the new products. In order to prioritize cities, desired criteria are determined through interviews with experts and investigating the previous studies. The research findings have shown that based on the four main criteria and seven related sub-criteria, the prioritization of selected cities as markets has been A-D-C-B respectively. In the end, it is concluded that based on the findings of this study, managers and stakeholders should pay attention to these priorities in choosing the target market. In this research, for the first time, the combined Monte Carlo technique and hierarchical analysis have been used to select the market. Market selection is one of the issues that has always been a concern of managers and has been associated with a lot of risk. Using Monte Carlo simulation algorithm and hierarchical analysis, by considering different decision intervals, greatly reduces the risk of selection, so this technique is recommended to managers of organizations as a practical method in market selection.
Today, different customer’s willingness to pay alongside the maturity of data analytics has made it possible to offer segmented prices and gain maximum consumer surplus. Price segmentation is defined as a strategy in which prices are free to adjust based on the "fences" of time of purchase, place of purchase, customer characteristics, product characteristics, etc. Since strategic pricing policies are not practically possible for every single customer, each of them falls into one section. Price segmentation is based on key concepts such as "willingness to pay" and "consumer surplus". However, it also causes "price unfairness perception". Since such feeling is triggered when people compare their deal to another’s, approaches to "make difference in transactions" would be helpful. This study aims to investigate the perceived fairness in three price segmentation methods. The present research is practical in terms of purpose and is descriptive survey research in terms of research method. The statistical population of the research is 384 customers of Tehran's online stores. Data collection was done by questionnaire and data analysis by one-way analysis of variance and least significant difference method using SPSS software. Cronbach's alpha was used to assess the validity of the questionnaires. Findings indicate that the method based on "customer characteristics", has the least level of perceived fairness. The "product bundle" method has increased perceived fairness, but not much, and price segmentation based on "product features" results in the highest perceived fairness.
The important role of leadership in management of today's organizations has been emphasized for many years by executives and experts in the field. The role of knowledge in leading organizations is prominent. This study aims to examine the role of the knowledge-Oriented Leadership in market orientation that seeks to achieve innovation. Market orientation (MO) lies at the bottom of modern marketing thinking and practice. Although research has shown that MO contributes to firm performance through innovation implementation, an understanding is lacking on how the dimensions of MO (customer orientation, competitor orientation, and inter-functional coordination) may have differential effects on innovation, especially in the sales force context. As a survey research, data were gathered through a structured questionnaire with a sample of 92 executive-level employees employed in ISPs in Mazandaran province. SEM was used to examine the standard error of the estimate and t-values. Findings suggest that knowledge-oriented leadership has a positive effect on innovation implementation by mediating of market orientation. Interestingly, innovative organizational culture was found to have mediated the relationship between Knowledge-oriented leadership and innovation implementation of the ISPs in Mazandaran. Moreover, results indicate that effect of sales force market orientation on sales performance is fully mediated by innovation implementation.