Competitive intelligence is the art of gathering, processing and analyzing the information about the competitors and environment in order to create and sustain the competitive advantage. The application of competitive intelligence in export companies can provide a complete picture of current and future competitive status for managers in addition to obtaining the most appropriate strategic decisions, which could ultimately lead to the improved exports in these companies. This study investigates the role of competitive intelligence for improvement of exports in Iranian industries. Using structural equation modeling, the study has detected six factors including understanding the competitive environment, intelligent response, superior features, customer orientation, managerial skills and competitive advantage.

Export plays an essential role for boosting the economy of developing countries. On the other hand, Small and Medium Enterprises (SMEs) are important part of any economy. Therefore, it is important to determine the effects of various factors influencing on development of export activities. This paper presents an empirical investigation to study the effects of customer segmentation factors on the performance of export activities of SMEs in Iranian food industry. The study selects a sample of 227 people who were involved in development of SMEs in city of Tehran, Iran. The study designs a questionnaire in Likert scale consists of 34 questions, Cronbach alpha and KMO are equal to 0.809 and 0.764, respectively, which are well above the desirable levels. Using principal component analysis, the study has determined that different factors including competitive structure, organizational strategy, customer's studies and organizational factors influencing the most on promoting export activities.

Export is one of the most important indicators of a growing economy and it is the primary source of reaching sustainable growth on the market. This paper presents an empirical study to determine important factors influencing electronic banking in export development of Iranian organizations. The proposed study designs a questionnaire and distributes it among some regular customers who do internet banking with Parsian bank in city of Tehran, Iran. Cronbach alpha is calculated as 0.82, which is well above the minimum desirable limit of 0.70. In addition, Kaiser-Meyer-Olkin Measure of Sampling Adequacy and Approx. Chi-Square are 0.71 and 1955 with Sig. = 0.000, respectively. Using principal component analysis, the study has detected six factors including customer's information, building trust, secure internet access, having good internet infrastructure and internet users.