International Journal of Management and Business Research
Volume:2 Issue: 1, 2012

In modern economics, Intellectual capital is described as an intangible asset which can be used as a source of sustainable competitive advantage. However, intellectual capital components have to interact in themselves to create value. The paper seeks to examine the impact of intellectual capital on firms’ market value and financial performance. The efficiency of the value added by corporate intellectual ability (Value Added Intellectual Coefficient) is incorporated to measure the intellectual capital construct. The analyses are performed using data derived from the financial statements of 28 firms listed on the Tehran Stock Exchange (TSE) during a four-year period from 2006 to 2009. Correlation and Ordinary Least Square (OLS) regressions have been carried out on panel data to check the impact of intellectual capital on firms’ market value and financial performance. Results failed to support most of the hypotheses, only concluding that there is a statistically significant relationship between structure capital efficiency and financial performance (ROE, ROA). Despite the fact that intellectual capital is increasingly recognized as an important strategic asset for sustainable corporate competitive advantages, the results of the present study give raise to various arguments, criticism and further research on the subject.

The purpose of this study was to explore the impacts of: knowledge management, Senior Managers, staff, technology, consensus, service customization, and integration, as the factors effecting Customer Relationship Management (CRM) implementation in Parsian International Hotels. In this study the population was composed of Parsian Hotels managers and experts. Due to their small number (n=53), census method of data gathering was used, that is, all individuals in the population were included in the study. To collect data a questionnaire was designed and its content validity was approved through confirmation of advisor and supervisor professors involved in this research and also considering Parsian Hotels senior managers’ views. And the reliability of the questionnaire was examined and approved using Kronbach Alpha (α = 0.84). After determining the validity and reliability of the questionnaire, it was administered to the participants who were selected through census method. The data was analyzed by SPSS software, and tested employing Kolmogorov-Smirnov and T-student techniques, and Friedman test. The results revealed a direct and significant relationship between CRM and 7 variables, and showed significant differences among the influence of various factors. Based on the results, the staff factor and the technology factor were the most and the least effective factors on CRM implementation, respectively.

The present study examines the relationship between job related dimensions and job satisfaction of teaching staff of B-schools in India using Structure Equation Modeling (LISREL 8.5). The study is based on a single cross-sectional survey. In all three hundred ten responses were generated from teachers of management institutes located inIndia. A self-administered questionnaire with items related to the study dimensions was deployed for the study. Originality/Value: The study is unique in the sense that it is among the very few studies conducted in the context of management institutes inIndia. Improving job satisfaction is one of the most important ways to reduce attrition. Since there is acute shortage of teaching staff in management institutes inIndia, the present study is both relevant and purposeful. Practical Implications: The results provide insights into the dynamics of job satisfaction. It also provides inputs to B-schools to handle issues related to teachers’ attrition which is seen as a serious problem inIndia. Research limitations: Due to very vast geographical expanse ofIndia, the study was concentrated on a limited geographical region and limited sample. Pay satisfaction, satisfaction with supervision and satisfaction with work-schedule flexibility have a positive relationship with teachers’ job satisfaction. Promotion opportunities were not found to be an important factor influencing job satisfaction of teachers. The reason can be that in most Indian management institutes, promotion is normally granted after a certain period of service and is not linked directly with performance as is seen in the corporate sector.

this study wants to find any relationship between the numbers of purchase and the income the customer brings to the company. The attempt is to find those customers who buy more than one life insurance policy and represent the signs of good payments at the same time by the help of data mining tools. Design/ methodology/ approach: the approach of this research is to use data mining tools based on CRISP-DM methodology. The classification is based on the K-means algorithm and prediction is applied by a proposed formula by the researcher in Excel worksheet. By selecting the customers who bought more than one policy, and filtering the Income bringer customers, the researcher could extract some simple rules to predict which customer belongs to which cluster. Based on the prediction, the company can change its strategies in relation to different customers. Originality/value: Utilizing data mining approach to classify different customers in life insurance and prediction based on the classification is a new approach amongIran insurance companies. There is not enough research and implementation in relation to the CRM and data mining in the insurance industry. Especially CRISP-DM methodology was used very hardly before in a life insurance investigation.

This study presents an empirical evidence concerning the comparison of the dynamics of competitiveness in the creative and manufacturing industries. It investigated the impact of the economic crisis in the behavior of the competitiveness of those industries. The samples were 42 firms taken from 3 sub-sectors of the creative industries and 3 sub-sectors of the manufacturing industries listed in IDX from year 2004 until 2010. This study used industrial entropy index to measure competitive interactions intra industries. The results showed that the magnitude competitiveness interactionss in the manufacturing industries in average were similar to the competitiveness interactionss in the creative industries, however the competitiveness interactionss of the creative industries were much more than the competitiveness dynamics in the manufacturing industries. This study also provided the evidence that after the crisis, the competitiveness of the creative industries increased sharply, however it was not the case in the manufacturing industries. Furthermore, this paper discussed the five sources of strengths affecting the dynamics of competitiveness in the creative industries and also gave some suggestions for futher studies in this area.