Journal of System Management
Volume:8 Issue: 2, Spring 2022

The core goal of this study was to simulate the share and predict the current and non-current receivables in Shahr Bank using an agent-based approach. To this end, we employed the data related to the examined features in 11 bank branches aimed at determining the degree of importance of each of the factors affecting the repayment behavior of borrowers using the C5.0 algorithm, the decision tree method, and the simulation process in NetLogo software. We utilized the comparison of the repayment status of a sample of 100 customers over the past year (12 months ago) and at present aimed at assessing the simulated model. The estimation results of the simulation model, as well as the real findings, suggested that the number of type 1 customers (with active repayment status) has decreased during the last 12 months and the number of type 2 customers (with past due repayment status) has enhanced. If the economic recession conditions continue the same way, and considering the low effect of the recession conditions on the businesses of the bank''s customers in the next four years, then, the ratio of the bank''s current customers will decrease from about 89% to about 81%, while the ratio of the past-due customers of the bank will increase to more than double to about 13%. In the next step, we tried to simulate the future situation of the ratio and the share of the current bank customers'' claims in the next 4 years.

Some cities have unique and special features that have created a strong image of them in the minds of people elsewhere; But there are many cities that, despite their special features, have not been successful in this area. The purpose of this research is to validate the urban brand model in order to develop the tourism industry in Gilan province. The statistical population of the study includes managers and experts of Guilan Cultural Heritage and Tourism Organization and employees working in tourism services offices of Guilan Province. Using a researcher-made questionnaire, 201 of them by Simple random sampling method were selected. Structural equation modeling using LISREL software was used to validate the model. The results of model validation showed that There is no significant relationship between contextual factors and strategies. But there is a significant relationship between other relationships in the model and the relationship between them was confirmed.

The aim of present study is to achieve a comprehensive framework in the area of customer experience management in Taban Airline to improve business results. The statistical population was the managers and senior experts of Taban Airline. A sample of 16 people was selected by using a purposeful snowball sampling method and in-depth and a semi-structured interview was performed with them. Data analysis was performed using a 3-step coding method in Nvivo software. Finally, a comprehensive model of customer experience management was presented. A total number of 601 open codes were extracted. After methodological modifications, they turned to 182 open codes or concepts, and in the next step, namely ladder of abstraction, they turned to 38 sub-categories and in the final step, they turned to 14 main categories. Finally present the paradigmatic categories and components form the comprehensive Customer Experience Management (CXM) model.

Businesses are the heart of every economic and social system. However, some of them are faces with failure due to the lack of a proper business model or having an inappropriate one. For designing a business model or innovating it, different elements should be taken into account. Not only considering these elements is crucial, but also their role in the system and detecting the interrelations between them are of outmost importance. With this regard, the aim of this article is investigating the possible effects and impacts of each element on others in a Business Model and categorizing them based on their importance and their net contribution in the selected model. For this purpose, Decision Making Trial and Evaluation Laboratory (DEMATEL) method is hired. The business model investigated in this article is the one introduced by krumeich and consisted of 20elements. Although all the elements are interdependent, based on the findings of this research, Resource Model is the most effectual component as well as being the most important element in the system. Furthermore, Cost Model is the highest impact receiver due to the highest amount of impacts receives from other elements. The results of this research are depicted in the form of tables and graphs.

Organizational anomie (OA) is defined as the lack of law, as well as violations or weaknesses in the implementation of laws and norms in the organization, which can have detrimental effects on the performance of the organization and its members. The main focus of this study is to establish and validate an organizational anomie scale that can be employed to implement and operate this tool in field studies. The present research is applied-exploratory in terms of purpose and descriptive-survey in terms of method. To conduct this research, issues related to organizational anomie using factor analysis approach and content analysis method of scientific texts as well as from the perspective of qualified and experienced thinkers and experts and a researcher-made questionnaire on organizational anomie in COVID-19 pandemic are analyzed. it placed. Completed by experts and managers. The reliability coefficient of the test was calculated to be 0.85 using Cronbach's alpha test. Exploratory factor analysis of organizational questions revealed that the components of this questionnaire may explain more than 78.512 % of the desired variance. After one rotation of Varimax factors, the correlation between each item with each component was determined in the best situation and accordingly, twelve components were selected and extracted with the most weight: conflicting goals of the individual and organization, weakness in communication, standard selection ,ambiguity in goals, level of trustworthiness, negative attitude of employees towards themselves, feeling useless, understanding justice, weak control, common norms, organizational indifference, lack of socialization. According to the research findings, it can be concluded that organizational anomie is a multidimensional concept with many dimensions and components and cannot be studied with limited dimensions and components.

To improve the operation level of the companies tailored to industry 4.0 it is necessary to develop logistics system. In order to develop the logistics level, the first step is to measure the growth and evolution of all logistics process. For measuring the evolution and growth of the logistics system (LS), the processes and components of the logistics system and then the evolution level should be determined, at the end their level of evolution should be measured for each firms. The purpose of this paper is to determine the evolution level of the LS in the large industries of Iran. The research method is descriptive - applied and Data were gathered in two steps. First utilizing interviews with logistics experts for identifying the logistics process and components. Second step was data collection by check list in local visits and direct observation in firms. Checklist was completed in group sessions with the help of managers and experts in each firm. Using the mean of the logistics components and degree of adoptive (DOA) technique, evolution of LS was measured in industries. Results shown that firms with heavy products have little progress in the evolution of logistics compared to other firms and also the firms that have automatic production system will growth in logistic evolution better than others especially in intra-logistics and material handling. The method and result of this paper can be seen as a roadmap for managers and organizations and they will plan development and evolution of logistics processes.

The main purpose of this study is structural-interpretive modeling of industrial brand competitiveness in the petrochemical industry. This research is a qualitative-quantitative mixed exploratory research. The statistical population in the qualitative part of the research includes faculty members and experts in the field of industrial management, marketing and industrial brand, professors familiar with the subject of research and managers and deputies with experience in petrochemical companies in the country using 16 snowball sampling method were chosen. In a small part, the statistical community includes personnel (managers, deputies and experts) of the marketing and sales department of petrochemical companies in the country. For sampling, due to the small size of the statistical population and the irreversibility of the questionnaires has been used the whole number and the whole population has been considered as a sample in a small part (N = 255). The research tool in the qualitative part of the interview is semi-structured and in the quantitative part the researcher has made a questionnaire. For data analysis in the qualitative part, fuzzy Delphi theme and technique analysis has been used and in the quantitative part, ISM technique has been used for data analysis. In the qualitative part of the research, a total of 14 variables were identified as factors affecting the competitiveness of the industrial brand.