The aim of this study is to learn the effects of the value at risk (VaR) and the index of 30 largest companies (TEFIX 30) on the index of 30 large firms’ prices listed on Tehran Stock Exchange (TSE). This research study is based on analysis of libraries and analytical panel data and proposes a regression function where the index of 30 large companies’ prices is a linear function of VaR and TEFIX 30. The study collects the information of 90 publicly traded TSE firms over the period 2011-2013. The results have indicated that while the index of 30 large companies’ prices had a meaningful relationship with VaR but it had no meaningful relationship with TEFIX 30.

It is well-known that subjects can exhibit a preference for increasing payments. Smith (2009a) [Smith, J. (2009a). Imperfect Memory and the Preference for Increasing Payments. Journal of Institutional and Theoretical Economics, 165(4), 684-700.] makes a related prediction that the difference between the preference for increasing wage payments and the preference for increasing non-wage payments will be largest for intermediate payments. We find evidence consistent with this prediction. Consistent with previous experiments, we find that the preference for increasing payments is increasing in the size of the payments. Also consistent with the literature, we find that the preference for increasing wage payments is stronger than the preference for non-wage payments. Our results contribute to the understanding of the optimal sequencing of wage payments over time.

The controlling of bug fixing process during the system testing phase of software development life cycle is very important for fixing all the detected bugs within the scheduled time. The presence of open bugs often delays the release of the software or result in releasing the software with compromised functionalities. These can lead to customer dissatisfaction, cost overrun and eventually the loss of market share. In this paper, the authors propose a methodology to quantitatively manage the bug fixing process during system testing. The proposed methodology identifies the critical milestones in the system testing phase which differentiates the successful projects from the unsuccessful ones using Mahalanobis Taguchi system. Then a model is developed to predict whether a project is successful or not with the bug fix progress at critical milestones as control factors. Finally the model is used to control the bug fixing process. It is found that the performance of the proposed methodology using Mahalanobis Taguchi system is superior to the models developed using other multi-dimensional pattern recognition techniques. The proposed methodology also reduces the number of control points providing the managers with more options and flexibility to utilize the bug fixing resources across system testing phase. Moreover the methodology allows the mangers to carry out mid- course corrections to bring the bug fixing process back on track so that all the detected bugs can be fixed on time. The methodology is validated with eight new projects and the results are very encouraging.

This study presents an empirical investigation to study the post-war tourism in sought west region of Iran. This region is the host of many Iranian who wish remember the events of War between Iran and Iraq. Many high school or university students travel to the region through cultural as well as religious communities. This paper tries to analyze the challenges facing these people when they travel to province of Khozestan, Iran. The study designs a questionnaire in Likert scale and distributes it among some randomly selected people who visited the region. The implementation of Pearson correlation test has determined that “Weakness of tourism infrastructure facilities and services” is to be blamed the most followed by “Underdevelopment of decision making centers”. Moreover, path analysis has been implemented to detect direct and indirect effects of different factors on development of tourism in the region. In our survey, marketing, culture and weakness in infrastructures have been determined the most important factors influencing on development of the region.

This study examines the emotional intelligence (EI) of nurses by differentiating inter-personal and intra-personal dimensions, and explores the measures taken by them to maintain emotional stability. Further, it investigates the relationship of demographic factors (age, gender and year of experience) of nurses with their emotional stability. The case organization is a well performing private hospital located closer to the metropolitan city. Study collects data through both quantitative (survey) and qualitative means (discussion, observation, and interviews) using a sample of 40 nurses selected conveniently from different ranks. The study finds that the level of EI of nurses in case hospital is slightly high, and their inter-personal skills are higher than intra-personal skills. They maintain emotional stability by means of emotion gaps, emotional shifts and sharing. Findings suggest that both inter-personal and intra-personal dimensions of EI will not be equally important for nurses in dealing with patients, and the level of EI required in the job is not equal among different ranks of nurses.

Banking industry has significant contribution in development of economies of developing countries. Most banks execute their operations through different branches. Therefore it is important to measure the relative efficiencies of these branches. Data envelopment analysis (DEA) is one of the most useful tools in measuring banks’ performance. The present paper aims to extract ranking pattern of banks based on performance evaluation using DEA analysis. In the present research, 120 bank branches of Bank Shahr in city of Tehran were selected and their efficiencies were evaluated using DEA technique. The results are discussed and compared with similar studies.

The primary objective of this paper is to study the present status of organizational adaptability in Iranian broadcasting system against environmental changes and present possible suggestions to empower the organization to cope with future changes. The study uses the method developed by Denison (1990) [Denison, D. R. (1990). Corporate culture and organizational effectiveness. John Wiley & Sons.] to study the organizational changes. Using a sample of 354 randomly selected employees who worked for this organization, the study has determined that the level of organizational adaptability was less than desirable level and the firm needs to make necessary actions to better cope with environmental change.

The objective of this paper is to evaluate the performance of Kiasar cement factory based on EFQM model. The study performs a survey among 26 managers and expertise and the required information is gathered in terms of five perspectives based on 23 questions arranged in Likert spectrum. Cronbakh’s ? coefficient for enabling and results criteria are 0.924 and 0.950, respectively, which confirms the reliability of the questionnaire. In evaluating the data, it is revealed that employees’ scale, maintained the most difference (70.61%) and processes scale, retained the least difference (52.42%) from the ideal circumstances. Next, employees’ performance has maintained the most difference (90.79%) and customer performance, and the customer results’ scale have kept the least difference (58.27%) from the ideal situation. Kiasar cement factory has acquired 198.06 points out of 500 points of empowering scale and 164.08 points out of 500 total points of result scales. Also empowerment scales in Kiasar cement factory have acquired 39.61% of optimal score and differs from ideal circumstances around 60.39%. The results scales has acquired 32.82% of optimal score and approximately is different from ideal situation around 67.18%. The research results show that Kiasar cement factory has acquired 361.9 points out of 500 scores of EFQM.

The primary purpose of this study is to measure the technical efficiency of 30 doctorate-granting universities, the universities or the higher education institutes with PhD training programs, in Vietnam, applying the sensitivity analysis of data envelopment analysis (DEA). The study uses eight sets of input-output specifications using the replacement as well as aggregation/disaggregation of variables. The measurement results allow us to examine the sensitivity of the efficiency of these universities with the sets of variables. The findings also show the impact of variables on their efficiency and its “sustainability”.

Measuring customer satisfaction in banking industry plays essential role for increasing market share and profitability. In this paper, we present an empirical investigation to measure the effect of customer relationship management (CRM) on customer loyalty in Iranian banking industry. The study aims to understand whether implementation of a good CRM could increase the quality of services. The study designs a questionnaire in Likert scale and distributes it among 65 selected customers who do their banking activities with Bank Melli Iran in city of Semnan, Iran. Cronbach alpha has been calculated as 0.939, which is well above desirable level. Using t-student test, the study has determined that implementation of CRM could increase customer loyalty and quality of services.