Journal of System Management
Volume:11 Issue: 1, Winter 2025

This research has been carried out with aim of designing a model for development of market share of Refah Kargaran Bank with approach of analyzing the competitive environment of Iranian banking. The current research is considered to be a type of mixed research in terms of its applied-developmental goal and in terms of its implementation. The statistical population studied in this research includes experts. To determine the sample size, the snowball method was used, and based on this, the sample size was selected as 25 branch managers of Refah Kargan Banks. In order to analyze the quantitative data in this research, descriptive and inferential statistics were used. The findings showed that use of customer relationship management policies (need assessment, responsiveness, satisfaction and loyalty) had the most impact on increasing the market share of Refah Kargaran Bank with coefficient of 0.8425 and support and facilitation services of Refah Kargaran Bank were also It has taken the last place with a proximity coefficient of 0.4449. Based on results of research, proposed model presented by connecting and creating integration in effective themes in competitive environment will lead to the creation of coherent, comprehensive and coordinated cycle of the performance of each element in activities of Refah Bank.

As a driver of national development, the construction industry has in recent decades gained substantial environmental importance due to its extent and effects on life, business, and the environment. Due to its economic, social, and environmental impacts, the construction industry has been discussed extensively in the sustainable development literature, contributing to development of Green Building Rating Systems (GBRSs) worldwide. This study introduces some of the most popular GBRSs and employs a Multi- Criteria Decision Making (MCDM) approach to investigate the evaluation indices of GBRSs. GBRS indices were obtained through a comprehensive literature review. To validate the identified indices, 400 questionnaires were handed out to respondents, with 260 completed questionnaires being returned. The responses were statistically analyzed, identifying twenty important indices, which were modeled using Interpretative Structural Modeling (ISM) and categorized using MICMAC analysis. The ISM model showed that the barriers arising from unique characteristics of a region were the main GBRS factor in Iran.

Neurotransmitters, emotional intelligence, and personality traits are the key factors that affect the behavior and decisions of individual investors. This study aimed to investigate the effects of neurotransmitters, emotional intelligence, and personality traits on the behavior and decisions of individual investors simultaneously, in the Tehran stock exchange.    

Design/methodology/approach: 

In terms of purpose, the current research was practical. In terms of method, it was a descriptive survey research. In terms of time, it was a cross-sectional research. The research data were collected through a questionnaire and convenience sampling method. The sample size was 212 individual investors. Composite reliability, average variance extracted, convergent validity and divergent validity were used to measure the validity and reliability of the questionnaire. Data were analyzed using structural equation modeling.

This study includes 19 constructs (variables). These constructs include dopamine, serotonin, norepinephrine, and epinephrine (neurotransmitters); Self-appraisal of emotions, other’s emotion appraisal, use of emotion and regulation of emotion (emotional intelligence); extraversion, neuroticism, openness, conscientiousness, and agreeableness (personality traits); investment horizon, risk attitude, personalization of loss, confidence, and control (investors' behavior); and investors' decisions. The current study includes six main hypotheses and 78 sub-hypotheses. The research findings showed that neurotransmitters, emotional intelligence, and personality traits affect the investors' behavior and decisions.   

Originality/value: 

The findings of this study showed that the neurofinance and behavioral finance have a key role in decision making of policymakers and investors. Finally, the findings of this study would provide new horizons in neurofinance and behavioral finance.

Considering the goals of sustainable development, numerous studies and research have been conducted in the field of supply chain sustainability. While some articles have addressed the social sustainability dimensions of the supply chain, there is a lack of integrated and comprehensive models to assess the performance of these chains in social sustainability dimensions, especially concerning decent work criteria. The present research aims to design a model for the maturity of decent work in the sustainable pharmaceutical supply chain. This research is an applied study from the perspective of objectives and descriptive research methodologically. The research population in the qualitative section consisted of experienced experts in the field of supply chain and decent work, and for this purpose, 15 individuals were selected and interviewed. After designing the initial model, in the qualitative section and initial screening of dimensions and components, 84 concepts remained in the model.

The supply chain of perishable products has high complexity due to the short lifespan of the products. For this reason, it is necessary to evaluate various issues in the supply chain such as location, inventory and logistics in an integrated manner by using flexible tools. The purpose of this research is to present an optimization approach based on event-factor-based discrete hybrid simulation for the integrated optimization of facility location, inventory control, fleet composition and routing in the supply chain of perishable products.The optimization process is performed using meta-heuristic algorithms. In order to conduct a case study, the supply chain of one of the largest producers of dairy products in the country has been considered, and due to the high demand and production of ice cream, this product has been considered as a perishable product of the supply chain. The results show that the integrated optimization of the research topic leads to a significant improvement in product waste, reducing the time of processing and delivering orders, and reducing the number of fleets.

Exploratory studies in understanding the impact of decisions on the sustainability of small and medium businesses during the corona disease crisis in line with the research objectives and based on the non-linear and dynamic conditions caused by the high speed of prevailing environmental changes compared to the development of a dynamic model of the decision making. These businesses, on the one hand, are fragile against crises due to their limited financial ability, and on the other hand, with high flexibility and quick decision-making power, they have the ability to adapt to the existing conditions. In order to create this model, it is necessary to identify the problem, and in order to answer the research questions therefor it is necessary to develop a theory based on the opinions of experts and available data. This theory is due to the special conditions and the lack of previous experience result of the Grounded Theory’s methodology, that it should indicate all the effective factors in the field of decision-making in these businesses in Iran and the causal relationships between them and affected by the existing background conditions and it is an environmental interferes. background factors and identifying the impact of environmental interferes on the decision-making process in SME under the conditions of the Corona crisis. This theory states that the decision-making process for the sustainability of the business should be based on strategies. These strategies include creating opportunities, applying a new attitude in the continuation of business life, changing in business processes, creating organization agility, and re-engineering the structure . Considering the mathematical ability of the dynamic method to analyze the results of the dynamic model as scenarios that are applied to the business in the form of decisions made and by controlling their feedback, its effects on the organization's pillars and resources can be shown as quantities. The measurement of these quantities and the way of changes and their impact enables the quantitative proof of the mentioned theory. By this method the managers will have the ability to evaluate and prospect their decision results in the conditions of the Corona crisis.

In this study, a customer experience management (CEM) model in omnichannel banking is provided. This is an applied study in terms of objectives and mixed exploratory in terms of nature. In the qualitative section, thematic analysis is used, and in the quantitative section, the survey is used through structural equation modeling (SEM). The statistical population includes senior and expert managers of Bank Day with at least 10 years of banking experience in the qualitative phase and 100 customers of Bank Day in Tehran in the quantitative phase. According to the results, the customer experience in omnichannel banking can be improved through 23 organizing themes of integrity in providing services, continuous allocation and receipt of services in complementary channels, integrated service quality, saving customer resources, customer motivation, developing bank strategy based on customer needs and information, recognizing and meeting customer needs in omnichannels, understanding the principles of customer-oriented marketing, planning and management coordination in omnichannels, planning for the promotion of customer experience culture, management of coding, classifying, documenting, and updating customer data in omnichannels, managing diverse, hybrid, and unique services, comprehensive management of customer data in omnichannels, the correct design of omnichannel implementation processes, integrated service distribution management in the network, using new customer data management methods, upgrading and updating systems, managing the operational and legal risks of systems, providing regular, systematic, and functional reports in channels, improving access indicators, improving productivity indicators of omnichannel services, and improving satisfaction indicators

Nowadays, social brand engagement is considered as a vital elements and an important issue in marketing and management fields, since it increases the awareness of brand and also its credibility among audiences. In such a way that it creates a credible and meaningful relationship with customers that at last they became the supporters of such brand. Therefore, this study was to review the issue of social brand engagement through user-generated contents using meta-synthesis method during 2010-2024, systematically. This study made use of documentary method to gather data and population consisted of all internal and external related studies in authentic journals. To evaluate the quality of researches, we made use of Critical Appraisal Skills Program (CASP) and to maintain the quality of meta-synthesis, we made use of Kappa index that the Kappa agreement coefficient of the themes was 0.879 indicating the level of good agreement and reliability of the results. Findings showed that 62 codes and 7 themes were identified including “the use of strategies to increase user participation in UGC, the use of user content in UGC in marketing campaigns, harnessing the power of customer testimonials, creating compelling challenges and contests, using and creating a community around the brand, analyzing the impact of UGC and paying attention to the intersection of legal considerations and ethical procedures in the field of UGC campaigns for the formation of social brand engagement” and 2 dimensions have been identified including “the development of the process of using UGC and the internalization of UGC in the formation and increase of social brand engagement”. Therefore, regular disclosing brand-related contents and creating effective communication channels between the firm and customers on social media can lead to social brand engagement.

This paper presents a mathematical model for cell formation, cell layout, and resources assignment problems simultaneously. This model focuses on the influence of the man-machine relationship aspect on the cellular manufacturing system (CMS) design. The main purpose of the model is to demonstrate how to design the CMS with the new aspect such that the costs associated with processing, layout, worker, and machine idle time, machine and tool are minimized. The proposed model is applied to a numerical example using Lingo software. Due to the complexity of the presented model, a genetic algorithm (GA) is employed to find satisfactory solutions. To verify the solutions, a harmony search (HS) algorithm is used. Additionally, the Taguchi method is utilized to adjust the parameters in two proposed algorithms. Finally, to validate the model, some numerical examples are presented. Results emanating from the research show that the proposed HS algorithm is a favorable method for the presented model.

 The current research is based on a mixed study and with a sequential-exploratory approach with the aim of designing a career path model with regard to the impact of green human resources in the General Department of Cooperation, Labor and Social Welfare of Fars Province. The statistical population of the research includes academic experts and experts in the field of human resources management in the General Directorate of Cooperation, Labor and Social Welfare of Fars Province. Data analysis in the qualitative part was analyzed by Delphi method and Maxqda software, and the results led to the production of a questionnaire for the quantitative part. This questionnaire includes two components of career path in seven dimensions, green human resources in seven dimensions and 54 questions. The statistical population of the present research in the quantitative part is 190 employees of the General Administration of Cooperative, Labor and Social Welfare of Fars province, who were selected from among the 375 employees by one-stage cluster random method. It is necessary to explain that in order to collect the information of the questionnaire, two online and manual methods were used to collect the required information. used. that the variable of green human resources (independent variable) has a positive and significant effect on career path work.