حسنعلی آقاجانی

Nowadays, most of Businesses have faced a great challenge for entering a new market. The existence conditions have forced the managers to apply the innovative methods for simultaneous analyzing of various factors for arrival to special markets. This paper prioritizes a few target markets using two methods. First, the problem is solved by the combined method of hierarchical analysis and Monte Carlo simulation, and then by the method of fuzzy hierarchical analysis and finally the results of both methods are compared. The considered problem in this study relates to a factory of prefabricated building components that is looking for establishing the sale agencies in appropriate towns in order to introduce and distribute the new products. In order to prioritize cities, desired criteria are determined through interviews with experts and investigating the previous studies. The research findings have shown that based on the four main criteria and seven related sub-criteria, the prioritization of selected cities as markets has been A-D-C-B respectively. In the end, it is concluded that based on the findings of this study, managers and stakeholders should pay attention to these priorities in choosing the target market. In this research, for the first time, the combined Monte Carlo technique and hierarchical analysis have been used to select the market. Market selection is one of the issues that has always been a concern of managers and has been associated with a lot of risk. Using Monte Carlo simulation algorithm and hierarchical analysis, by considering different decision intervals, greatly reduces the risk of selection, so this technique is recommended to managers of organizations as a practical method in market selection.

INTRODUCTION: This research aimed to provide a dynamic model of organizational citizenship behavior (OCB) in crisis management non-governmental organizations with a social approach (experimental evidence: Red Crescent Society of the Islamic Republic of Iran). METHODS: This applied research was conducted using a mixed (quantitative-qualitative) method to analyze the data. The statistical population consisted of university professors as well as the managers and experts of the Iranian Red Crescent Society, who were selected by the snowball sampling method. The total number of experts in the Iranian Red Crescent Society and in the academic community accounted for 10 individuals (n=5 each), and the sampling continued until reaching theoretical saturation. The required information was collected through observation, in-depth and semi-in-depth interviews, review of documents, and experts' opinions; finally, by using the exploratory factor analytical statistical method, appropriate measurement tools were prepared. In this research, the Delphi technique and the Decision-Making Trial and Evaluation Laboratory-based Analytic Network Process were employed to determine and prioritize criteria and sub-criteria. For this purpose, the pairwise comparison matrix was used to determine the weight of the criteria. FINDINGS: In this study, helping behaviors, individual initiatives, organizational obedience, organizational loyalty, chivalry, civic virtue, and personal development were among the dimensions of OCB in descending order. CONCLUSION: The results of this research showed that the consequences of OCB included an increase in performance productivity and effectiveness, the promotion of positive relations between employees, more efficiency in allocating resources, reduction in maintenance costs, the provision of necessary flexibility for innovation, improvement of customer service, and effective use of scarce resources.

Purpose: Rumor management in the context of social networks for government organizations is very important in order to maintain the organization's reputation and improve its performance. Therefore, the current research was conducted with the aim of designing a qualitative pattern of rumor management in the context of social networks in the Iranian government organizations. Methodology: The current research in terms of purpose was applied and in terms of its implementation method was qualitative. The research population was experts in the field of public administration and organizational behavior in the field of research. The sample of the present study according to the principle of theoretical saturation was estimated to be 15 people which this number was selected by the purposeful sampling method and they were subjected to semi-structured interviews, and its validity was confirmed by the triangulation method and its reliability was estimated by the Cohen's kappa coefficient method 0.719. Data were analyzed by coding method in MAXQDA-2020 software. Findings: The findings of this research indicated that 95 open codes, 5 core codes and 2 selective codes were identified for rumor management in the context of social networks in the Iranian government organizations. In this study, the selected codes were included the malicious rumors with three core codes of bad feelings, rumor transmission and thinking power, and innocent rumors with two core codes of trust building and reference support. Finally, the output of the software was drawn for the qualitative pattern of rumor management in the context of social networks in the Iranian government organizations. Conclusion: Based on the findings of the present research, the managers of Iranian government organizations can prevent their destructive effect on the advancement of the organization's goals by managing malicious rumors and innocent rumors.