This research examines contextual, structural and organizational factors, which can facilitate or slow down adoption of innovation in Electronic Banking in the financial Institutions. Three-dimensional model co-structure, co-behavioral, contextual (3C) is used in this research. This schema is a logical model in the categories of models and many of concepts, events and organizational phenomena can be examined. Structural factors including type of the organization of institution, work distribution, preparing mobilization of resources and equipment and risk of decision-making sophistication influence on adoption of Electronic Banking. There are four contextual factors, which contribute in adoption of Electronic Banking including goals, strategies, culture and common norms. The five Behavioral Factors, which affect on electronic banking are connections and relations, skills and personal characters of employees, education, job satisfaction and banking work process. By studying the mentioned factors, we have realized that contextual factors plays important role on adoption of electronic Banking by employee and the behavioral and structural factors have minor impacts. The mentioned proposals are methods, which facilitate the adoption of electronic banking in the country.

Nowadays credit scoring is an important issue for financial and monetary organizations that has substantial impact on reduction of customer attraction risks. Identification of high risk customer can reduce finished cost. An accurate classification of customer and low type 1 and type 2 errors have been investigated in many studies. The primary objective of this paper is to develop a new method, which chooses the best neural network architecture based on one column hidden layer MLP, multiple columns hidden layers MLP, RBFN and decision trees and ensembling them with voting methods. The proposed method of this paper is run on an Australian credit data and a private bank in Iran called Export Development Bank of Iran and the results are used for making solution in low customer attraction risks.

Banking system plays an important role in boosting the economy and when they become profitable, they could help industries more efficiently. The proposed study of this paper attempts to investigate the effects of operating risk and capital structure on profitability of banking industry. The proposed study of this paper includes 17 commercial banks, which were active from 2006 to 2010 in Iran and the results of the study indicate that although there was a positive relationship between capital structure and profitability but there was no meaningful relationship between operating risk and capital structure. In addition, the results of our study mention that operating risks negatively impacts profitability and economic figures do not have any influence on profitability, operating risks and capital structure.

Many organizations may reduce on the number of their employees in an attempt to reduce their operating cost and increase efficiency of their units. The workers who normally leave the firms are not believed to be productive for other organizations. On the other hands, there are some side effects on the remaining workers since they may feel they are losing their job securities. As a result, they may have mistrust towards their managers and start working less to pretend that downsizing yields negative consequences. In this paper, we survey on some information technology based organizations where such downsizing incidents have already occurred and analyze whether downsizing could reach its mission, properly or not. The results of this survey indicate that although downsizing can reduce the operating cost, it has some negative impacts on workers as well.

With the change of education policy in 1991, more and more technical institutions are being set up in India. Some of these institutions provide quality education, but others are merely concentrating on quantity. These stakeholders are in a state of confusion about decision to select the best institute for their higher educational studies. Although various agencies including print media provide ranking of these institutions every year, but their results are controversial and biased. In this paper, the authors have made an endeavor to find the critical factors for technical institution evaluation from literature survey. A Pareto analysis has also been performed to find the intensity of these critical factors in evaluation. This will not only help the stake holders in taking right decisions but will also help the management of institutions in benchmarking for identifying the most important critical areas to improve the existing system. This will in turn help Indian economy.

Pipelines systems are identified to be the safest way of transporting oil and natural gas. One of the most important aspects in developing pipeline systems is determining the potential risks that implementers may encounter. Therefore, risk analysis can determine critical risk items to allocate the limited resources and time. Risk Analysis and Management for Critical Asset Protection (RAMCAP) is one of the best methodologies for assessing the security risks. However, the most challenging problem in this method is uncertainty. Therefore, fuzzy set theory is used to model the uncertainty. Thus, Fuzzy RAMCAP is introduced in order to risk analysis and management for pipeline systems. Finally, a notional example from pipeline systems is provided to demonstrate an application of the proposed methodology.

Culture plays an important role on human lives and it has been in four ancient civilizations of China, Iran, Egypt and Greece. The civilization achievements are normally categorized in two different groups of material and immaterial. Practical experience of the material, social objective is called as a civilization and the mental aspect of spiritual experiences, spiritual and personal is called culture. The purpose of this research is to find a framework for cross-cultural management. First, we define the cultural planning and we review the existing cultural examples in Iranian society and try to provide an overall analysis. The paper also investigates the role of government on creating adaptive culture within the society and explains that government must act as leadership in creating value added culture.

We present a dynamic balanced score card (BSC) to investigate the strategic internal process management factors. The proposed dynamic BSC emphasizes on internal processes aspect, and using VIKOR and Shannon Entropy, determinants the internal processes, process management and improvement and all important factors are ranked. The current study first introduces dynamic BSC and examines effective factors on the process. The proposed model focuses on internal processes perspective of BSC and determines importance degree of each factor is used using VIKOR decision-making techniques.

The aim of this study is to study the relationship between forward-backward effects on stock return, which normally depends on Price-Earnings ratio (P/E)‎ and stock fluctuation in stock exchange. Monthly time series pattern of Tehran stock exchange are used monthly from 2006 to 2010. The data contains all available companies in exchange where the shares were traded at the least 120 days during for the recent 12 months. The results of this research show that the independent variables investigated in this research have meaningful effects on the research's dependent variable. This means that the effects of company’s systematic risk and markets risk on companies’ stock return are positive.

One of the most important techniques on improving customer satisfaction in clothing and textile industry is to increase the quality of goods and services. There are literally different methods for detecting important items influencing clothing products and the proposed model of this paper uses quality function deployment (QFD). The proposed model of this paper designs and distributes a questionnaire among some experts to detect necessary factors and using house of quality we determine the most important factors impacting the customer & apos; s clothing selection. The proposed study of this paper focuses men who are 15 to 45 years old living in Yazd/Iran. The brand we do the investigation sells the products in three shopping centers located in this city. We have distributed 100 questionnaires and collected 65 properly filled ones. Based on the results of our survey, suitable design, printing and packaging specifications, necessary requirements, optimization of production planning and appropriate sewing machine setting are considered as the most important characteristics influencing the purchase of a clothing products.