Journal of System Management(JSM)

The purpose of this article is to present the evolutionary model of loan sales using collective intelligence and meta-heuristic algorithms (bird flight algorithm). In terms of method, this research is in the category of quantitative research, and in terms of purpose, it is included in the category of applied research. The statistical population includes all active companies admitted to the Tehran Stock Exchange. This research has been investigated between 2011 and 2019 for active companies admitted to the Tehran Stock Exchange. The method of data collection is through library study and financial data of companies admitted to the stock exchange by referring to the financial statements and explanatory notes with the financial statements, and it has also been compiled using the Rahavard Novin software. Also, with the help of EViews 9 and MATLAB software, he presented a borrowing sales model, and in the next step, with the help of MATLAB software and the flight of bird's algorithm, he presented an evolutionary model of borrowing sales, in the end, by comparing the step-by-step regression model and the borrowing sales model. The findings showed that the borrowing sales model with the help of the bird flight algorithm has a higher efficiency.

Today, internal controls have grown so dramatically that we see its progress towards internal consulting in the company's risk management operations. The current research was carried out with the aim of designing a causal model to eliminate the weak points of implementing internal controls in educational institutions according to the Fuzzy Dimtel method. This research is of mixed type (qualitative-quantitative) in terms of nature and content. Information of this research is related to 15 experts in educational institutions (Azad University, higher education, non-profit institutions), which constitute the statistical sample. This research is descriptive in terms of data collection and analysis, practical in terms of purpose, and documentary in terms of method. In order to collect data, the tool of paired comparison questionnaire is used. The results of this research showed that the four main factors of risk components, operational risk, independence of the board of directors, and institutional ownership have an effect on the weak implementation of internal controls. Also, Dimtel's method showed that the factor of independence of the board of directors with an average influence of 18.740, the factor of institutional ownership with an average impact of 9.497 and the factor of risk components with an average impact of 8.742, are among the influential factors. On the other hand, operational risk factor with an influenced average of 14.975 is an influenced factor.

This study aims to analyze and identify critical success factors of Total Quality Management (TQM) for evaluating organizational performance using a framework based on the Knowledge Management (KM) approach. Initially, the study determines the success factors of TQM and KM by reviewing research history, and then assesses the significance and performance of each factor through questionnaires. Data mining algorithms are used to cluster the factors, and a Data Envelopment Analysis (DEA) model is employed to evaluate the organizational performance by considering the success factors of KM as inputs and success factors of TQM as outputs. The Return-to-Scale (RTS) variable model is used to calculate the performance indicator for the organization. The study reveals that, while KM and TQM have some differences rooted in their distinct focus, they also have many similarities that can complement each other if properly planned.

This research aimed to investigate the moderating role of age and gender in the willingness to use IOT technology in sports, based on the Technology Acceptance Theory (TAM). This research utilized a survey of the correlation type, with the statistical population consisting of all athletes who have received sports insurance cards and were active this year. Using Morgan's table, a sample of 394 individuals was selected. Standard questionnaires of willingness to use new technologies were employed as tools. Data analysis was conducted using SPSS version 22 and Warp PLS version 8.The research findings indicated that the variables of perceived usefulness, perceived ease of use, and attitude have an impact on athletes' willingness to use IOT technology in sports. Additionally, in the Technology Acceptance Model, perceived ease of use was found to have a significant effect on perceived usefulness. The study also examined the moderating role of age and gender on the willingness to use IOT devices in sports, revealing that only the relationship between age and perceived usefulness did not reach an acceptable level of significance. Therefore, in order to utilize IOT technology in sports, it is crucial to consider these factors as the use of Internet of Things can lead to highly favorable outcomes.

This study aims to investigate the factors influencing value chain (VC) in pharmaceutical industry, as a very important sector in Iran. The research method is descriptive-analytical in term of method. The required data have been collected from the experts of a public joint stock company. Conducting the research, first the literature of VC is reviewed to identify the initial factors affecting on VC of pharmaceutical companies. In this Phase, 34 factors were identified in 8 categories including; institutional, industry, political, economic, social, technological, legal and environmental factors. In the next step, a primal evaluation of the initial factors by 14 experts of the research, resulted to the 20 more important factors which were used in the modelling process. Due to the need for fuzzy logic regarding subjective judgments in cause-effect relationships between factors, the fuzzy cognitive mapping (FCM) method in FCM expert software is used to visualize the relationships among these factors. The results show that technological capabilities, government policies, company resilience, financial strength, medicine price, sustainable waste management, cost of raw materials, production technology, cost of energy, R&D, operational efficiency, recycling capabilities, transportation cost, VC governance (coordination/ partnerships/ integration), consumer behavior and social (market) trends, environmental concerns about waste disposal internet of things (IoT) and connected devices, non-value-adding activities, import limitations and skilled human resources, respectively are the most influencing factors on pharmaceutical VC.

A strong brand differentiates the product from competitors' products, reduces search costs, minimizes perceived risks, and offers high quality from the customer's point of view. He considered that one of the most important problems of Iran's food industry is related to the brand name, especially in the field related to the internalization of awareness and association of the brand name in the customer's mind. Cognitive distortions, as psychological factors that cause perceptual errors in people, can be effective in their negative feelings and, as a result, affect the expected results of customers' behavior; Therefore, identifying the psychological components of branding in the food industry with the foundation's data approach (case study: Gaz Asari) is of great importance. The method of this research is qualitative and grounded theory method (foundation data) which has been used in this research due to some of its special features. The statistical population consists of interviews with 17 people, including all managers and expert managers in the Gaz Asari brand industry, which means analyzing the data obtained from the interviews, using the qualitative-inductive grounded theory method (including the steps of open coding, central coding, and selective coding). The results include 19 general categories in the form of a paradigm model, which include causal conditions (competitive pressure, changing customer characteristics, market uncertainty, understanding the importance of branding and lifestyle changes), central phenomenon (psychological branding), background conditions (sustainability of brand effects) flexible characteristics of the brand and branding skills, intervening conditions (customer, company capability, brand competition capacity and the challenges of Sanat Gaz administration) and strategies (differentiation strategy, modeling strategy, discovery strategy, and resistance strategy) and consequences (short consequences duration and long-term consequences).

As one of the driving forces of the modern economy, small and medium businesses play a significant role in improving employment opportunities, encouraging the increase of exports, and strengthening technological innovations. The purpose of this research is to present the branding model of consumer goods with a social responsibility approach. The research is exploratory in nature and mixed-in approach. In the qualitative part of the research and using the Delphi method, 30 university experts in the fields of management and marketing, organizational experts, management, and economics included senior managers, professors, and related to the field of management and economics. The quantitative section is an applied research purpose. Using the designed questionnaire after its validation process, it was distributed among the statistical sample (small and medium business experts) and finally led to the extraction and identification of variables. The statistical population was 5450 people, based on Cochran's formula, 357 people were randomly selected as a sample. The variables were identified using the Delphi method, and finally, the model was validated using the smart.pls, software. Based on research literature and experts' opinions, a total of 62 factors were identified. The fuzzy Delphi approach was used to screen the indicators and identify the final indicators, 55 indicators were extracted in the first round, 51 indicators in the second round, and 46 indicators in the third round. The identified barriers were identified in four dimensions, sales management, reasonable price, customer needs, and high accessibility, which have been assigned the first to fourth ranks. Validation of the model also showed that the numerical value of the GOF index was equal to 0.546, which is a strong index and shows the overall high quality of the model. Therefore, based on the results obtained from the research findings, it is suggested that arrangements be made based on knowledge and communication and information innovations to promote the branding of consumer goods with a social responsibility approach.

This research aims to design an open banking model using a grounded theory approach in bank Saderat Khorasan Razavi. The current research is exploratory in nature and mixed-in approach. This research was carried out in two stages among the research projects of the combined method. For this purpose, it collects qualitative data first. In this section, the indicators were identified through reviewing existing documents, papers, and articles and semi-structured interviews with experts, and the grounded theory method was used to select the identified indicators. Open and axial coding was done and a visual pattern was designed. In second stage was the quantitative part of the research, after the final research model was identified in the qualitative part and the components and indicators of each component were determined, the final questionnaire included all dimensions and components of the identified model based on the five-choice Likert scale and based on dimensions and the components of open banking in the country's banking industry were compiled and distributed among sample people and data were collected. The statistical population in the qualitative part of the research and the process of identifying dimensions and components of open banking in the country's banking industry included organizational experts, these people included senior managers, deputy managers, middle managers, and senior experts. The statistical population in the quantitative part included all managers and senior experts of open banking in the country's banking industry. According to the obtained results, the consequences with an average rank of 2.63 are the priority. Intervening factors with an average rating of 2.55 are the second priority. The central phenomenon with an average rank of 2.43 is the third priority. Contextual factors with an average rank of 2.40 are the fourth priority. Strategies are in the fifth priority with an average rank of 2.39. Causal factors with an average rating of 2.38 are the last priority.

This paper examines recent literature in the quest to uncover emerging patterns in the use of business intelligence in marketing. We conducted searches in pertinent academic journals and identified 1044 articles published between 2000 and 2023. To sift through this substantial body of work, we employed text mining techniques to extract pertinent terms in the realms of business intelligence and marketing. Additionally, we applied latent Dirichlet allocation modeling to categorize the articles into various pertinent topics. This analysis was performed within the domains of marketing and business intelligence. This approach enabled us to discover connections between terms and topics, which in turn allowed us to generate hypotheses regarding future research directions. To validate these hypotheses, we gathered and closely examined relevant articles. By pinpointing current research areas, this study underscores potential avenues for future investigation. The findings reveal that the predominant trend in business intelligence applications for marketing is the utilization of business intelligence systems, with a particular emphasis on marketing planning to enhance marketing strategies. Additionally, there is considerable interest in areas such as pricing models for marketing, enhancing brand value through effective social media marketing, employing predictive algorithms for customer data analysis, and harnessing big data for marketing analytics.

It is widely accepted that drugs are one of the most important components of health care, and their prompt access has become one of the most important goals of health care systems around the world, as well as one of the main concerns of governments. The purpose of this study was to Investigating and Explaining Factors Affecting on Iranian Pharmaceutical Distribution Industry Using Fuzzy Delphi Technique. This research is applied in terms of purpose and descriptive-survey in terms of implementation method. The statistical population of the study is made up of 35 experts in Iran's Pharmaceutical distribution industry who were selected by snowball sampling. First, with a deep review of the research literature and based on the content analysis, 41 factors affecting the pharmaceutical distribution industry were identified. To screen and ensure the importance of the identified factors and select the final factors through the design of a Researcher-made questionnaire and the fuzzy Delphi method was used in two stages. Kendall’s coefficient of concordance was used to calculate the agreement of the experts. According to the nature of this research, fuzzy Delphi method and Excel and SPSS software were used to analyze the collected data. Based on the obtained results, the members of the Expert Panel found a total of 49 factors effective on the pharmaceutical distribution industry, of which 41 factors have been mentioned in previous researches and studies, and 8 other factors have been introduced by the panel members

Oil became one of the pillars of Iran's economy from the beginning of the 14th century AH, and its traces can be seen in all political, economic and social developments since then. Iran's economy is affected by oil and its revenues through various mechanisms. The problem of this research is to analyze one of the dimensions of the effect of oil on Iran's political economy, that is, the government's economic policies between 2013 and 2021. The purpose of the research is to identify the effects of oil on the government's policies and to provide the basis for reducing the negative effects. The descriptive-analytical research method and the method of data collection will be library studies and official statistics. According to research data, domestic and international developments have caused fluctuations in oil production, price, and income, and these fluctuations are caused by certain economic policies such as financial indiscipline, inflationary programs, and relative neglect of the tax system. And it has resulted in an increase in the Gini coefficient. These policies lead to the occurrence of some economic-social phenomena and the fluctuation of economic indicators, such as the failure to achieve the goals of development plans, rising inflation rates, increasing or decreasing the class gap, creating employment in a limited way and ultimately disequilibrium. Industry, agriculture and service sectors have grown. Although in some cases, such as job creation, oil income has had positive consequences, but mainly the consequences of oil income fluctuations have been negative and hindered economic progress.

Modeling the implementation of organizational ambidexterity as an organizational ability in alignment and efficiency in response to market demands and simultaneously adapting to environmental changes through innovation and discovery of new solutions can help improve the performance of the aforementioned organizations. The purpose of this research is to design a two-level organizational model in the branches of the Tejarat Bank of Isfahan province to identify the important indicators. in current research, the research method is a descriptive survey, and researcher-made questionnaires were designed based on the Fuzzy Dimetal method and the fuzzy network analysis process, these indicators have been prioritized by 36 senior employees of Isfahan Tejarat Bank using the combined technique of Fuzzy Dimetal and fuzzy network analysis process. based on the output of the above table, it indicates that the index of organizational managerial competence and loose relations, and finally attraction and employment were introduced as the most effective positive and negative indicators. the indicators of human resources of the organizational ambidexterity model, which mainly refers to the organizational and individual culture, indicate the influential role of the internals of individuals and organizations in the implementation of a new concept. In the strategic indicators, the existence of a flexible structure for the implementation of ambidexterity has been emphasized. From the aspect of social capital, the significant point is the high priority of the index of revision of social processes and components in the total indicators of ambidexterity in the organization. This means that in the initial stages of the implementation of dualism, it is necessary to review the processes and equipment to discover exploitation and exploration opportunities, plan to follow up on these opportunities at the same time, and formulate a model of ambidexterity in different parts of the bank.

Choosing the right people is one of the main factors in the success and excellence of organizations. This issue is more important in government organizations and the failure to retain competent employees causes irreparable damage to the organization and ultimately to the country. This issue is more important in government organizations and the failure to retain competent employees causes irreparable damage to the organization and ultimately to the country. The purpose of the research was to evaluate the effective factors on merit selection in government organizations. The research method is descriptive and correlational based on the applied goal and according to the method of data collection. The statistical population of the research includes the employees of the judicial branch of Tehran province in 2023. Using Cochran's formula, 384 people were selected as a sample and 415 questionnaires were distributed and 398 questionnaires were collected. The reliability of the questionnaire was measured by calculating Cronbach's alpha coefficient, which was 0/824. Data were analyzed using structural equation modeling and Smart-PLS software. The findings indicate that the innovation capability of knowledge management, the support of senior management and job rotation have had an effect on the performance of the organization. Finally, the performance of the organization has a significant effect on the merit selection of employees.