The present study investigates the effects of participation of managers in budgeting on their management performance in the Tehran regional electricity company. Variables of this study are participation in budgeting, performance of managers, adequacy of funding and resource allocation, job satisfaction, organizational commitment and organizational trust. The type of research is survey. The study population consists of all middle level managers of Tehran Regional Electricity Company who according to the approved organizational chart were 34 in 2012. The research tool is a questionnaire. Analysis of data collected is accomplished by using the SPSS and smartPLS. The results show a significant correlation between the variables of managers & apos; participation in budgeting and organizational trust, adequacy of funding and resource allocation and job satisfaction, organizational trust of managers on organizational commitment, organizational commitment and competence in the absorption of funding and optimal resource allocation and finally the competence in funding and optimal resource allocation of managers as well as job satisfaction and management performance.

This paper presents an empirical investigation on implementation of activity based cost (ABC) method in hotel industry. The study determines four possible factors of organizational, environmental, individual and technological, which could influence on ABC implementation. The study selects a sample of 205 employees who worked for Laleh International Hotel in Iran. Using one-way t-student test, the study has determined that all variables were effective on ABC implementation while individual factor was the most important one. In addition, correlation test has determined that all variables had meaningful correlations with each other. Further investigation indicates that gender did not play essential role for ABC implementation while experienced employee tended to be more effective for the success of ABC implementation.

Deep learning facilitates development of generic skills pertinent to prepare graduates for employment. Accounting education with syllabuses burdened with accounting standards to be memorized and regurgitated in examinations does little to promote deep learning. This study conducted a questionnaire survey to examine the extent to which accounting undergraduates at a public university in Malaysia adopt deep learning. This study demonstrates that deep learning is not readily attainable. Surface learning, which promotes rote memorization, constitutes a stepping stone towards deep learning. Having a preference or thirst for meanings is also pertinent to motivate undergraduates to move from rote memorization to seek meanings and thus deep learning. Female undergraduates have been found to be more inclined to adopt deep learning. Much is still to be learned on how best to promote deep learning as learning is a life-long process where everyday life experiences, both on and off-campus, facilitate learning and development.

This paper presents an empirical study to determine the effects of four different factors including human capital, innovation capital, communication capital and information technology (IT) capital on firms’ return. The study selects the information of 50 selected firms from Tehran Stock Exchange over the period 2007-2013. Using regression analysis, the study has determined that there were some positive and meaning relationships between human capital, innovation capital, communication capital and information technology capital and firms’ return, however, each of these four factors had various effect. Other results indicate that IT capital had the greatest impact on future returns of companies and among intellectual capital components, communication capital had the highest impact on future earnings.

Oil price markets can benefit from a better considerate of how shocks can affect volatility through time. This study assesses the impact of structural changes and outliers on volatility persistence of two crude oil markets WTI and Brent oil price between January 1, 1996 and March 17, 2014. First, we identify the FIGARCH process proposed by Baillie et al. (1996) [Baillie, R.T., Bollerslev, T., & Mikkelsen, H.O., (1996), Fractionally integrated generalized autoregressive conditional heteroscedasticity. Journal of Econometrics, 74, 3-30.] and investigate some of its statistical proprieties and then incorporate this information into the volatility modelling. We also show that outliers can bias the estimation of the persistence of the volatility. Taking into account outliers on the volatility modelling process improve the understanding of volatility in crude oil markets.

One of the primary assumptions in many project portfolio selection is the availability of all parameters. However, in real-world cases, many parameters are under uncertainty and the exact values are unknown in advance. This paper presents a scenario based mathematical model for project portfolio selection when parameters are under uncertainty. The problem considers two objective functions where the first one maximizes the net present value while the second objective function is the minimization of the positive deviations from the allocation of resources. The second objective function is looking for project resource leveling. The resulted model is formulated as mixed integer programming and the problem is analyzed under different conditions.

This paper presents an empirical study to determine the effects of different factors including present profit, depreciation, working capital, operating cash flow and other accruals on future earnings stability. The study selects the information of 124 selected firms from Tehran Stock Exchange over the period 2006-2012. Using two regression analysis, the study has determined that as the fluctuation of profit increases, the profitability increases too. In addition, the study has concluded that firms with minimum fluctuations preserve more stable profitability. Moreover, firms with higher fluctuation in profitability maintain more volatile profitability for the next consecutive period.

This paper presents an empirical investigation to study the effect of bank ownership concentration on capital adequacy and liquidity on 14 selected private Iranian banks located in city of Tehran, Iran. The study uses a linear regression model where ownership concentration is independent variable, size, leverage, growth domestic product and revenue growth are control variables and liquidity and capital adequacy are dependent variables. Using historical information over the period 2010-2013, the study has determined a negative and meaningful relationship between liquidity and ownership concentration. However, the study has determined a positive and meaningful relationship between capital adequacy and ownership concentration.

The main objective of this study was to develop a set of measures, evaluate their importance and effect in cold supply chain performance. This investigation reviewed previous research works on all the stages of the farm product supply chain. Based on farm product supply chain, 4 measures with 31 metrics were identified and developed to measure the cold supply chain performance. A survey was organized to establish the importance and the effect of identified measures. The 5 point Likert scale questionnaire was distributed among SC academics and practitioners. The observed finding infers that the measurement instrument was substantiating for evaluating cold supply chain performance in farm industry. The new developed metrics will help firms improve the visibility of supply among partners and in better decision making. The investigation was enfolded up through the plan of direction intended for future study.

Spread plays essential role on market liquidity on any stock market. A high gap between bid and ask price may reduce the likelihood of trading activities while a small gap between bid and ask increases the chance of trade execution. In this paper, we present an empirical investigation on the effect of spread on abnormal return. The proposed study collects the necessary information from official statements as well as historical data over the period 2009-2013 reported on Tehran Stock Exchange to examine the relationship between spread and unusual firm performance. Using regression analysis, the study has determined a meaningful relationship between abnormal return and spread.