Iranian Journal of Management Studies
Volume:8 Issue: 4, Autumn 2015

The current study aims to investigate the relationship between stock liquidity risk and financial information quality criteria (i. e. the timely dividends announcement، accruals quality and the percentage of profitability prediction error) of companies listed on the Tehran Stock Exchange. For this purpose، 148 cases of data from listed companies، collected from 2007 to 2012، were employed in order to test the hypotheses during 2007-2012. The results of the study reveal that there is a significant relationship between liquidity risk (the dependent variable) with quality of accruals، percentage of profitability prediction error and timely dividends announcement (independent variables). High levels of accruals quality and timely dividends announcement، cause reduction in stock''s liquidity risk، and high percentages of profitability prediction error increase the stocks'' liquidity risk.

Swift development in economic aspects and the call for more concentration on the ethics in new era is taking considerations in the world. The aim of this study was the investigation of the impact of the Islamic work ethics and its aspects in every point of human being characters، especially in employees’ hope، resilience، optimism and efficacy، as the dimensions of Positive Psychological Capital. The conducted research method for achieving mentioned aim was descriptive and correlation and the statistical population were employees of six public organizations in the Tehran province located in Iran (a country with the large Muslim population)، participated in this study. The results of the analyzing the questionnaires and testing the hypotheses by Warp PLS indicated Islamic Work Ethics had positive effect on Positive Psychological Capital. These findings provide evidence to the importance of including Islamic Work Ethics in future research. Additionally، these findings provide significant suggestions for the utilization of Islamic work ethics in organizational practice too، that is in Staff recruitment، Compensation، Performance evaluation and HRM Strategies.

Customer activity has received more attention due to the increase of social network applications. Moreover، customer activity could be an answer to the research debate about the significant relationship between retention rate and lifetime profitability of customers. Several researchers believe that an increase in the retention rate of customers may enhance their customer lifetime value (CLV)، or their lifetime profitability. Other researchers believe that this relationship does not exist or is not significant، and retention rate alone cannot adequately explain lifetime value. This study aims to tackle this challenge and empirically examines the relationship between retention rate and CLV. Moreover، it investigates whether the activity level of customers increases the relationship between retention rate and CLV. This research has been empirically verified in the banking industry; and various techniques including analytic hierarchy process (AHP)، mathematical models، and statistical techniques have been used. The empirical results reveal an exponential correlation between the combination of activity level and retention rate with CLV.

The evaluation and selection of recommender systems is a difficult decision making process. This difficulty is partially due to the large diversity of published evaluation criteria in addition to lack of standardized methods of evaluation. As such، a systematic methodology is needed that explicitly considers multiple، possibly conflicting metrics and assists decision makers to evaluate and find the best recommender system among a given set of alternatives. This paper introduces Multi-Criteria Decision Making (MCDM) approach for evaluation of recommender systems. In particular، this paper proposes the use of Data Envelopment Analysis (DEA) approach، as a sub-category of MCDM، in order to solve this problem. Various DEA models are introduced and their applicability are illustrated. A real case of evaluation of recommender systems is used to demonstrate the approach.

Achieving the organizational objectives needs employees’ behavior and their collaboration with management. Strategic behavior-driven is depend on different factors. The aim of this article is to determine the impact of factors on strategic behavior-driven. A conceptual model was developed and tested on a survey in Social Insurance Company of Tehran which employees’ participated. Data collected by questionnaire from managers and stuffs and structure equation model (SEM) was used for data analysis by LISREL software. The findings show that employees’ engagement impact on strategic behavior-driven and perceptions of job autonomy، and organizational status were significantly impact on greater employees’ engagement.

This paper presents a multi-objective resource-constrained project scheduling problem with positive and negative cash flows. The net present value (NPV) maximization and making span minimization are this study objectives. And since this problem is considered as complex optimization in NP-Hard context، we present a mathematical model for the given problem and solve three evolutionary algorithms; NSGA-II، MOSA and MOPSO are applied to find the set of Pareto solutions for this multi-objective scheduling problem. In order to show performance of the algorithms، different metrics are applied and comparisons between the two algorithms are also considered. The computational results for a set of test problems taken from the project scheduling problem Bandar Abbas Gas condensate Refinery project and library are presented and discussed. Finally، the computational results illustrate the superior performance of the NSGA-II، MOSA and MOPSO algorithm with regard to the proposed metrics. In order to solve proposed method from NSGA-II algorithm، the results are compared with GAMS software in some problems. The proposed method is a Converge to the optimum and efficient solution algorithm.