Branding in food industry has been a major concern among food suppliers. During the past few years, there have been strong competitions among business developers to gain market share through increasing the value of their brand. In this paper, we present an empirical investigation to learn more about the relationship between brand experiences on consumer purchase experiences. The study selects a sample of 206 people who are regular customers of two well-known suppliers, Shahrvand and Hyperstar, in city of Tehran, Iran. Using structural equation modeling, the study examines six hypotheses and the results confirm that an increase on brand loyalty, brand attribute, pricing factors, product performance attributes, brand associate and brand position will increase purchasing intention, significantly.

Developing an Enterprise Architecture is a complex task and to control the complexity of the regulatory framework we need to measure the relative performance of one system against other available systems. On the other hand, enterprise architecture cannot be organized without the use of a logical structure. The framework provides a logical structure for classifying architectural output. Among the common architectural framework, the C4ISR framework and methodology of the product is one of the most popular techniques. In this paper, given the existing uncertainties in system development and information systems, a new version of UML called Fuzzy-UML is proposed for enterprise architecture development based on fuzzy Petri nets. In addition, the performance of the system is also evaluated based on Fuzzy sequence diagram.

Understanding customers’ behavior normally helps planning better marketing strategies, which could lead to an increase in market share and profitability. Loyal customers are always considered as the most important assets for any firm. This paper presents a survey to detect factors influencing the formation of loyal customers’ mental image. The proposed study uses factor analysis to determine these factors by designing a questionnaire and distributing among some loyal customers who do banking business in Bank Melli Iran located in city of Tehran, Iran. The results indicate that there were eight important factors influencing customer loyalty including social status, business identity, brand strength, the contract role, organizational benefit, consumer rights, organizational image and supporting power.

Brand loyalty is one of the most important factors influencing on the success of retail stores. Many retail stores in the field of sport shoes in city of Tehran, Iran are facing tight competition and there seems to be that only stores with loyal customers could survive. In this paper, we present an exploration study to find out important factors influencing retail stores selling one of well-known sport shows such as Adidas, Nike, etc. in city of Tehran, Iran. The proposed study designs a questionnaire in Likert scale and distributes among 265 regular customers of these stores and analyze them using factor analysis. The results indicate that there were four important factors influencing customer loyalty including brand identification, brand promotion, brand loyalty and characterization of stores.

A very challenging issue in robot navigation or path planning in an unknown environment is to find a globally optimal path from the start to the target point at the same time avoid collisions. This paper presents a new sensor-based online method for generating collision-free optimal path for mobile robots to take a target amidst static obstacles. It is assumed that, target is static and the location of obstacles is completely unknown for robot and all of these materials will be calculated online. Although the area that is under vision of robot’s sensor is confined, we have to consider an inevitable assumption that target is detectable by robot in everywhere. Proposed algorithm to avoid colliding the obstacles in its way toward target, detects a short and feasible paths by utilizing an innovative and effective method. Following that, shortest of them to will be chosen for navigation. There are different important factors which are considered in robot motion planning problems. First, required time for robot’s action in unpredicted circumstances that the running time of the used algorithm plays a major role in this term. Second, the length of traveled path from start point to target point that represents the efficiency of exploited algorithm for leading the robot. The presented algorithm of this paper has proved its efficiency in both of mentioned issues. Simulation results show that traveled path has the least length and the running time is remarkably less than other presented algorithms until now. In addition, the effectiveness of presented algorithm in complex situation is discernible. These results prove that the presented novel and effective robot navigation algorithm is very suitable for real-time navigation in complex environments.