فصلنامه پژوهش های مدیریت منابع سازمانی
سال هشتم شماره 2 (پیاپی 30، تابستان 1397)

Simulation Modeling is Useful Tools to Analyze and Evaluate the Dynamic Behavior of the Complex Systems. In this Paper a Simulation Model Developed for Material Handling Equipment in the Sulphid Ore Process of Sarcheshmeh Open-Pit Copper Mine in Sarcheshme Kerman Province of Iran for Increase its Productivity. The Optimum Operating Setting of Sulphid ore Process of an Open-Pit Mine Is Determined Using Simulation Based Optimization Meta Modeling Approach. In the Developing Meta Model Step of this Paper, Design of Experiment (DOE) is used to Identify Critical Variable of the System by Fitting a Quadratic Polynomial Model. Absolute Relative Error (ARE) used to Verification and Validation Meta model. Validation Step Shown That Meta Model Provides Good Estimation to Simulation Results, Therefore It is Validate. Experimental Results Shown That by Using Current Situation Resources, the Optimization Simulation Model Generates Improving Monthly Throughput Rate of Production System and also Decrease Transportation Cost Up 8%.

This study focuses on the role of neutralization techniques in the impact of variables of organizational commitment and employees' communication approach towards the client in advancing ethical intent. The purpose of this research, applied and in terms of information gathering method, is descriptive survey. The statistical population of the study consisted of 438 staff of the insurance agents' offices in Rasht city. A total of 210 questionnaires were collected through stratified random sampling. A standard questionnaire was used for data collection which confirmed the reliability and construct validity in the research. To test the conceptual model of research, Smart PLS software was used. Findings showed that organizational commitment of employees directly affects their ethical intention in the organization (0.307), but on the other hand, neutralization techniques can also be effective deterrent (-0.263) in achieving the intention Morals in organizations. Also, in completing this finding, it was found that the promotion of customer orientation in organizations led to a reduction (- 0.317) of the use of neutralizing techniques by employees and could indirectly increase the ethical intention of organizational staff

The purpose of this research was designing casual model of colluding toxic followership using causal mapping basen on the experiences of Kerman public organizations’ experts. In this regard, after studying the literature and identifying 16 effective factors on colluding toxic followership, a half-closed questionnaire was developed based on Likert scale and distributed among 31 experts using concept and snowball sampling. In order to screen data average fuzzy analysis was used, so the result caused to omission of a factor. Then, a matrix-structure questionnaire was designed so that data be collected based on causality among factors. In the following, after gaining confidence about lack of a significant relationship between expertise indexes and complexity and domain indexes of cognitive maps and also examining similarities of experts cognitive maps, which showed that personal features and experts membership in various organizations couldn’t create a significant difference between experts maps, the experts consentaneous map based on relatively strong relations among factors was extracted. The result led to a model that based on it the effective process factors included forthright ambitions, conservative egoism, and hypocritical adaptability of colluders, colluders greed, and finally leader- follower consistency and accommodation.

A proper and complete understanding of stakeholders is one of the main elements of strategic decision-making. Banks, as an important part of the country's economy, are confronted with various stakeholders and faced with different changes in their stakeholder structure.Recognizing and categorizing these stakeholders and adopting an appropriate strategy for engaging with them is one of the ways to improve Performance. The purpose of this study was to provide a model for managing bank interactions with strategic stakeholders.
This research in terms of gole is applied, in terms of data is qualitative, and in terms of nature and research method is Grounded .The sampling strategy was selective with snowball method. Measurement of internal validity (reliability) of the findings has been done by comparing the results with theoretical foundations and experts verification, and verifying the accuracy of the data has been approved by the members of the research, and the validity of the interview’s form has been done through content validity.
The results obtained from three phases: interviewing, Delphi technique and Brainstorming, 2 dimensions; Identification of strategic stakeholders including 4 components (power, influence, influence, interests and legitimacy) and interaction with strategic stakeholders including 6 components (policy making, Rules, regulation, organization, control and supervision, supply of resources and sales of services), which are derived from 76 indicators.

The advent of new technologies is constantly evolving in today's societies, while information technology is the most effective of these activities. Since information technology can have a devastating impact on the environment, protecting the environment from these threats has added to the concerns of organizations, and as a result, the Green IT debate has become a topic of the day. Different models and methods have been used to explain the various dimensions of the maturity of green information. In this research, a dynamic model was developed to examine the relationship between components and determine the appropriate strategy to reduce energy consumption and thus increase the maturity level of green information technology in the organization. Since the banking industry is closely related to information technology, all Iranian banks have been investigated in this study. First, various components influencing the maturity of green information technology have been identified and their initial level and factors influencing their increase or decrease have been determined, then Causal loop and Stock and flow diagrams are illustrated to explain their relationships. In this regard, variables related to human factors and factors related to technology have been investigated. In the end, after testing and simulating a dynamic model, several scenarios have been proposed to improve the situation in the banking industry and to reach the highest level of maturity of green information technology. Keywords: Green Information Technology, Green Technology Maturity, System Dynamics, Banking Industry

Knowing customer behavior patterns, clustering and assigning them is one of the most important purpose for banks. In this research, the five criteria of each customer, including Recency, Frequency, Monetary, Loan and Deferred, were extracted from the bank database during one year, and then clustered using the customer's K-Means algorithm. Then, the multi-objective model of bank service allocation was designed for each of the clusters. The purpose of the designed model was to increase customer satisfaction, reduce costs, and reduce the risk of allocating services. Given the fact that the problem does not have an optimal solution, and each client feature has a probability distribution function, simulation was used to solve it. In order to determine the neighbor optimal solution of the Simulated Anneling algorithm, neighboring solutions were used and a simulation model was implemented. The results showed a significant improvement over the current situation. In this research, we used Weka and R-Studio software for data mining and Arena for simulation for optimization. The results of this research were used to develop Business Intelligence software for customers in one of the private banks of Iran.

Today, attract, retain, and build loyalty in skilled staff is difficult. There are several ways to create brand loyalty in employees' organization or company that can be pointed to corporate citizenship and attractive employer brand. This study examined the impact of corporate citizenship on employer brand attractiveness and employer brand loyalty. The Statistical population was faculty members of University of Mazandaran that their numbers are 350 people. After stratified random sampling, 210 valid questionnaires were collected and data were analyzed through SPSS 22 and LISREL8.8 software. By calculating Cronbach's alpha coefficient of questionnaire reliability and validity through first-order and second-order confirmatory factor analysis were examined. The research hypotheses were tested through path analysis. The results showed that corporate citizenship has a positive and significant effect on employer brand attractiveness (β= 0/44; t= 4/98) and employer brand loyalty (β= 0/51; t= 5/59). Also, employer brand attractiveness has a positive and significant effect on employer brand loyalty (β= 0/39; t= 4/12). Finally, according to the results, recommendations were presented to organizations and companies.