International Journal of Management, Accounting and Economics
Volume:3 Issue: 1, Jan 2016

This study aimed to investigate the impact of intellectual capital on the financial performance of the banks listed in the Tehran Stock Exchange. For this purpose, the impact of intellectual capital components (Capital Employed Efficiency (CEE), Human Capital Efficiency (HCE) and Structural Capital Efficiency (SCE) ) on financial performance (Return on Equity (ROE), Return on Assets (ROA) and Earnings per Share (EPS) ) was examined using panel data in 11 banks listed in Tehran Stock Exchange during the years 2009 to 2013. The results showed that the intellectual capital had a positive effect on the financial performance of banks listed on Tehran Stock Exchange. Also, intellectual capital had the greatest impact on the rate of return on assets, return on equity and earnings per share, respectively.

Knowledge management is considered as one of the most significant competitive resources for any organization such that most believe that the faster the companies acquire knowledge taking into application, the more they are successful in a competitive market. On the other hand, the competition among companies is no more important; instead, the competition among supply chains is highly focused in order to provide the most value to the customer. Research statistical population included 30 individuals of all practitioners and middle management experts in National copper industries company headquarter. The present research used Fuzzy Analytic Hierarchy Process (FAHP) to rank knowledge management effective factors in supply chain of national Iranian copper industries company. Research results showed that management factors, knowledge creation, acquisition and production process, knowledge assessment and feedback process, knowledge transformation, sharing and distribution process, organizational culture, knowledge use, application and utilization process as well as employees’ characteristics are in order the most to the least important knowledge management criteria in supply chain of national copper industries company through using FAHP technique.

Achievement of large organizations in the competitive environment first requires sustained and long-term competitive advantage. Such benefit acquisition and utilization depends on market oriented attitude and innovation of service process. This approach makes efforts in developing and dissemination of organizational performance and provides the opportunity for valuable service delivering to customers and benefiting their satisfaction. In this regard, the present research studied the effect of mediating role of innovation of service process in the relation between market orientation and organizational performance. This study is analyzed based on individual and all Dana insurance company agents including about 2000 individuals, throughout the country, are regarded as statistical population. Research statistical participants consisted of 325 agents who were selected through clustering sampling method. Data collected through using a questionnaire (by content validity; factor analysis and validity by measuring Cronbach alpha coefficient). Data analyzed and research hypotheses were tested using structural equations method. Results showed that market orientation has a positive, significant effect on innovation of service process and organizational performance; moreover, mediating role of innovation of service process was maintained between market orientation and organizational performance variables.

Income convergence or income similarity is defined as crack of income per capita between two trade companies in a way that fewer cracks carries more income similarity or convergence and more crack carries income divergence. Income convergence plays important role in developing trade relationship with this explanation that whatever countries are match in terms of income, they will have closer demand and more same economic policies and they will have enough economic justification in developing trade and forming trade blocks. In this study, the existence of interaction of income convergence and developing trade flows and study of tax tariffs in countries member in OPEC group with using of gravity model has been studied. To do this, a gravity trade model is used. The results indicate that trade flow of country i to country j in time t has had negative effect on income crack. GDP of country i in time t has had positive effect on income crack. GDP of country j in time t has had negative effect on income crack. The population of exporter country in time t has had negative effect on income crack. The population of importer country in time t has had positive effect on income crack. Opening degree of the economy of importer country (the way of calculating this index from the ratio of total export and import to GDP) has had negative effect on income crack. The variable of tax tariffs has had positive effect on income crack. Physical distance of country i from country j based on Kilometer has not had significant effect on income crack. The variable of trade policy has not had significant effect on income crack. The index of same line and language has not had significant effect on income crack.

Today the use of modern technologies in the daily life for satisfying the needs is unavoidable. Follow the news and searching through the internet has affected organizations to provide platform on the Internet for availability of information for the customers. With the development of e-commerce, online shopping plays an increasingly important role in people’s life. With the use of data mining technique prospect, managers of this site can analyze preferences and purchasing patterns of online customers in order to custom product recommendations. Data mining helps to provide services in accordance with customers’ requirements. The aim of this research is to identify the customers’ requirements in online shopping and cluster these customers based on independent attributes such as gender, product classification, recency, frequency and monetary. For this purpose, the data related to Nyazco website that is an e-commerce website with a variety of products, were examined as a case study in the period of 7 months. The authors of this paper will define four clusters by using k-means algorithm and RFM model by IBM SPSS Modeler 14.2 software. Customers in the third cluster and fourth cluster will be identified as the most important customers. Therefore, providing the demands of these customers should be prioritized.

Behavior of staff in an office or organization can be affected by their job attitudes. Therefore, it is necessary that managers be aware of them. The present research aims to study the effect of lack of job promotion of well-being staff of Kerman on their job motivations. The method used in this research is descriptive survey. Statistical population of the research is 80 persons including official, contractual staff in well-being of Kerman city. The present research is correlative and data and information were gathered by field researches (questionnaire) with complete census sampling. Results show that staff under the consideration are exposed to lack of job motivation due to their type of job so that managers require identifying this issue accurately. Also, results indicated that if staff have positive attitudes towards their jobs, they will expose to fewer plateaus. As a result, managers of well-being organization should try to increases positive attitudes of the staff.