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.

This research studies the effects of performance criteria (accounting, market and economy) on the quality of financial reporting in Iran. To evaluate the variable financial reporting quality, the scores given to each company are applied based on the checklist introduced by Iranian Association of Certified Public Accountants and used for the disclosure of the information of the annual financial statements of companies. The statistical population of this research consists of the companies listed on Tehran Stock Exchange over the period 2006-2011. This research, which is classified as applied research, uses the methods of multivariate regression test. The data and hypotheses of this research are analyzed and tested using correlation test and means difference test. The results of the tests conducted on 99 companies indicate that there is a significant and positive relation between the rate of return on equity and the equality of financial reporting. There is also a significant and positive relation between earnings per share and the equality of financial reporting. However, there is no relationship between QTOBIN and the equality of financial reporting. Finally, our results indicate there is a significant and positive relation between market value-added and the equality of financial reporting.

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.

This study investigates the explanatory power of leverage and cash flows in future cash flow prediction in Tehran Stock Exchange by considering Signaling Theory and Pecking Order Theory. Based on theoretical foundations, the regression models of leverage and cash flow with a set of control variables was developed. Statistical samples consist of companies listed in Tehran Stock Exchange over the period 2005- 2011. The results show that there was a negative relationship between cash flow and leverage levels in contemporary time. This is consistent with pecking order behavior. While at intertemporer level, there was a positive relationship between current leverage and the firm & apos; s cash flows in the future. This is consistent with signaling theory.

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.

During the past few years, there have been growing interests among researchers to study the effect of block share ownership on corporate earning especially in developing countries. The purpose of this paper is to consider the impact of block ownership on performance of firms in terms of profitability. The proposed study develops two econometric models and applies them on selected firms from Tehran Stock Exchange over the period 2002-2010. The primary objective of this survey is to find the relationship between return of assets and Tobin & apos; s Q as dependent variables with eight independent variables including company size, sales growth, block ownership, debt and liability ratios, etc. The results of implementation of ordinary least squares on two econometric models reveal that while there is no meaningful relationship between return of asset and block ownership there is a meaningful relationship between block ownership and Tobin & apos; s Q.

This research aims to investigate the extent of social and environmental disclosure (SED) in corporate annual reports. Specifically, This is an exploratory study designed to examine the relationship between corporate social and environmental disclosure (CSED) and corporate attributes and firm-specific factors in a developing country, Iran. In order to do this, we use content analysis approach with sentence count for the level of disclosure measurement by looking into the annual reports of the 66 listed companies in Tehran Stock Exchange. The Panel analysis and econometric software EVIEWS 6 are used for analyzing data. The Results show that there is significant positive relationship between company size and level of CSED also there is significant negative relationship between environment sensitive industries and level of CSED. However, we did not find any relationship between profitability and the level of CSED.

This study investigates organizational structure, culture, and information technology as knowledge management (KM) infrastructural capabilities, and compares their significance and status quo in five medical research centers in Tehran, Iran. Objectives of this research were pursued by employing two statistical methods, regression analysis and Friedman test. Included in the study were 135 people (researchers and support staff) from five medical and healthcare research centers of Tehran. A survey questionnaire including 23 questions was utilized to examine organizational structure, culture and information technology indicators. And another 12 questions examined KM effectiveness. The Friedman test indicated that in terms of their status quo, the three studied KM enablers are at different conditions, with organizational culture having the best (mean rank=1.79) and IT the worst (mean rank=2.14) status. Moreover, it was revealed by regression analysis that organizational structure is believed to have the most significant impact (Beta= 0.397) on the effectiveness of knowledge management initiatives, while information technology gained the least perceived impact (Beta= 0.176).

During the past few years, there has been growing interests in reducing cost of products and services among developing countries. Privatization is believed to be one of the most important techniques to increase relative efficiencies of publically held organizations. In this paper, we study important barriers on privatization of television (TV) media industry in Iran. The proposed study of this paper designs and distributes a questionnaire using a sample of 234 out of 600 graduate students who were enrolled in media communication studies and examined six hypotheses based on one-side t-student. The survey considers different factors influencing privatization of TV media industry. The results of the investigation indicate that the cost of TV production, short and long-term investment security, people & apos; s interest on investing on TV media industry, building appropriate culture, cultural obstacles and economic barriers influence media privatization, significantly.