Journal of System Management(JSM)

The adoption of unhealthy lifestyles by individuals can lead to the development of various health conditions, including hypertension, high blood fat levels, and diabetes, posing significant risks to their well-being. This study focuses on examining the lifestyle of patients with diabetes and high blood fat levels in the city of "bordekhoon," conducted at Health Care Centers. Diabetes is a global health concern that is rapidly increasing and is associated with substantial costs. By applying data mining techniques, early detection of diabetes can be achieved, which can help prevent the progression of the disease and mitigate complications such as cardiovascular issues, vision problems, and kidney diseases. Nowadays, data mining-based approaches are employed to predict diabetes and hypertension, aiming to enhance early diagnosis accuracy and obtain valuable insights. In this paper, a combination of classification techniques (Ensemble Method) is used to predict and identify two types of diabetes. Factors such as gender, diet, fasting plasma glucose (FPG), physical activity, cigarette consumption, age, genetic predisposition, and body mass index (BMI) are modeled and analyzed using IBM SPSS Modeler 18 software. The accuracy of the employed techniques is ultimately presented.

In recent years, circular business models have become an inevitable requirement to foster improvements in social, environmental and economic performance. The present study was conducted by combining previous research with the aim of providing a comprehensive picture of the components of the role of digital technologies in circular entrepreneurship with a focus on business models. The research methodology is qualitative with a meta- synthesis approach. Accordingly, after searching the databases including Elsevier, MDPI, Taylor & Francis, ScienceDirect, Emerald, Wiley, Springer, Noormags and SID in the time range of 2010 to 2024, 132 related studies were evaluated and finally, after multiple screenings, 36 articles were selected. Using seven-step model of Sandelowski and Barroso, the findings of 36 previous studies related to the objectives of the study were reviewed, aggregated, combined, and interpreted, and with the help of coding method, 26 codes, 11 concepts and 3 components were identified and validated through Kappa Cohen coefficient. The identified components were introduced under three components, including improving the element of the value proposition of the circular business model, improving the element of value creation of the circular business model, and improving the element of value capture of the circular business model. Finally, the model of the role of digital technologies in circular entrepreneurship with a focus on business models was presented and drawn.

The principles and concepts of the quantum theory have been extensively developed and have become a paradigm in various disciplines, including management and leadership sciences. This is particularly evident in management leadership of educational organizations within universities. Universities must restructure their management leadership methods to effectively address issues and align with the successful higher education systems of other countries. The present study aimed to design a model of quantum curriculum leadership at Farahangian University. The research design was mixed-methods, with an exploratory approach in the qualitative section and a descriptive-correlational approach in the quantitative section. The qualitative section included professors of educational sciences and administrators as experts, while the quantitative section included all professors of educational sciences from Farhangian University. The sample size in the qualitative section was 17 interviewees (faculty members) selected through purposive sampling based on saturation principle, and in the quantitative section, it was 283 individuals selected through cluster random sampling. Data collection tools in the qualitative section consisted of semi-structured interviews, and in the quantitative section, a researcher-made questionnaire with 135 items derived from theoretical foundations, research background, and experts’ interviews. In the qualitative section, validity was assessed through expert judgment, and reliability was assessed through test-retest and internal consistency. In the quantitative section, content validity, structural validity, and reliability were assessed using Cronbach's alpha and composite reliability, indicating the validity and reliability of the instruments. Data analysis in the qualitative section involved grounded theory analysis, while in the quantitative section, descriptive and inferential statistics (Kolmogorov-Smirnov test, Index values and Path analysis) were used. The results of the Kolmogorov-Smirnov test indicated that these assumptions were confirmed (p> 0.05). The findings of the study also showed that the presented model is a good fit. The findings revealed that quantum curriculum leadership consists of two factors including dimensions and components; causal conditions including planning in the higher education system and evaluation of quantum curriculum; and consequences including learning and professional development. The strategies include managerial, applied education, and executive organization, while the context includes environmental, economic, and scientific factors. The obstacles include technology, concentrated education, and structured organization.

Rural tourism, with careful planning, can enhance the quality of life and create economic, social, and cultural benefits. The aim of this research was to present a sustainable rural tourism model with a focus on social capital. The research was applied in terms of its goal and qualitative in terms of methodology, based on the foundation data theory. The research was framed using a cognitive approach, utilizing various data collection methods such as library research, examination of specialized sources and texts, as well as semi-structured interviews. Fourteen elites, experts, and managers in tourism and rural area management were interviewed in 2023. The conducted interviews were coded using Atlas .t i software.

The proliferation of online stores in Iran has surged in recent years, yet a notable proportion of these ventures falter shortly after inception. Among the myriad challenges confronting Iranian online retailers, the discontinuity in customer purchases stands out prominently. To address this issue, this study delves into the influence of online store service quality antecedents, specifically perceived risk, service convenience, and website design, on both customer satisfaction and behavioral intentions. Data collection entailed administering a questionnaire, and the research model underwent scrutiny via structural equation modeling (SEM). Results indicate a significant positive association between website design and the quality of online store services. Moreover, service convenience and the quality of online store services emerged as robust determinants of customer satisfaction. Satisfaction, in turn, exhibited a substantial positive impact on customer behavioral intentions. Conversely, perceived risk exerted a negative and significant influence on the quality of online store services. Notably, the effects of service convenience on service quality and the impact of service quality on customer behavioral intentions were statistically insignificant at the 95% confidence level. However, the mediating variable of satisfaction significantly mediated the relationship between online store service quality and customer behavioral intentions.

This research aims to investigate the factors influencing the adoption of e-commerce in small and medium-sized companies using the push-pull framework and with a practical approach in companies that produce and sell building stones in Iran. This research is a descriptive survey correlation in terms of its practical purpose and method. The statistical population of this research is made up of all sellers and producers of construction stone in Tehran province, and with the help of G*Power software, a minimum sample size of 216 people was estimated; But for more certainty, 220 people were selected as samples. The partial least squares technique and Smart Pls software have been used to test research hypotheses. The results of the research show that pull and push variables have an effect on changing the behavior of the company from traditional retail to e-commerce. Perceived time savings by using e-commerce and perceived cost savings by using e-commerce affect supporting customers' information-seeking behavior. Understanding that small and medium-sized companies in the stone industry can provide better service quality and lower prices with the presence of e-commerce has an impact on the perceived value of e-commerce for small and medium-sized companies that produce and sell stones in the stone industry. An increase in sales due to expansion of market access, improvement of external market communication, quality of e-commerce site services, and customer support system on the website also affect understanding the attractiveness of e-commerce adoption for the company.

Technology stands as one of the most pivotal elements driving change in the strategic landscape of the media industry and its destiny is fundamentally intertwined with technology. The rapid influx and progression of new technologies, particularly information and communication technologies within media organizations, have significantly impacted the societal and cultural dimensions of media existence over recent decades and has prompted significant foundational changes in the environment, structure and management approaches of media organizations. Consequently, identifying success factors in the implementation of new technologies within the media industry becomes imperative. To achieve this objective, dimensions, components and initial indicators were identified through reviewing existing studies, and to validate and indigenize the obtained indicators, a fuzzy Delphi method was employed, drawing on expert opinions. Ultimately, 166 relevant indicators were identified across eight influential dimensions: big data infrastructure, digital literacy of managers and employees, innovation in technology and content, technological capabilities of new media, media communication management, semiotics in the media industry, audience engagement and technology-based business strategy along with 33 components. These dimensions and components with incorporating relevant indicators can serve as a roadmap and guideline for any media entity intending to implement new technologies within its organizational framework.

The purpose of this research is to select the best energy supply methods for blockchain technology and to optimize the use of each of the selected methods.For this purpose,a two-part hybrid approach based on best-worst multi-criteria decision making methods,VIKOR method and mathematical programming model has been used under uncertainty conditions.To implement this approach,first by reviewing the literature,the effective criteria in selecting the best method were extracted and then,the options or energy supply methods using blockchain technology were determined based on the experts’ opinion.Finally,the weight of the criteria and the final ranking of the selected options were determined by the best-worst and VIKOR methods, respectively.In the second part,in order to determine the optimal amount of using available facilities for blockchain technology to implement the selected method,a robust mathematical model is designed in which the NPV criterion is used as an economic evaluation measure of using the selected method in the first part. was taken As the obtained results show,the criteria of "implementability"and"productivity level"and"coordination with consumption pattern correction policies"have the highest level of importance with the weight of 0.339, 0.14and 0.14, respectively,in order to choose the best option.Also, the best score compared to other options belongs to the energy supply method"electricity generation from the combined use of national grid and solar panels".Solving the mathematical model shows that the highest level of economic efficiency belongs to the use of solar panels to provide a significant part of the need for power.

The current research was conducted with the aim of providing a sustainable marketing model in the insurance industry with a focus on artificial intelligence. According to the type of data, the research method is mixed (qualitative-quantitative) of exploratory nature. In the statistical population, 12 people were selected from among the experts until the theoretical saturation was reached. The experts included professors of the faculty of business management and senior managers of Alborz insurance company, who were selected by non-probability, targeted and chain sampling. Quantitative part of 400 managers were insurance industry experts, using Cochran's formula, 196 people were selected by stratified random method. To collect data, semi-structured interviews and researcher-made questionnaires were used. The analysis method has been carried out in several consecutive steps. In the first stage, to identify the components of the model, the qualitative method and semi-structured interviews using the grounded theory have been used. In the next section, using interpretative structural modeling, the identified indicators were leveled. Finally, in order to fit the designed model in the qualitative part, a quantitative method with structural equation modeling approach was used with PLS4 software. The findings showed that 6 components were identified and there is a significant relationship between all components and sustainable marketing and the designed model has an acceptable fit. It can be concluded that AI can be incorporated as an essential component of a sustainable marketing strategy, enabling marketing professionals and businesses to make positive changes while increasing their brand reputation and profitability.

In recent years, problems such as lack of spirituality, psychological problems, depression, loneliness, sense of emptiness and futility, selfishness and mistrust have increased among the employees, and to solve such problems, spiritual leadership can save this cultural institution. be The purpose of this research is to design a model of spiritual leadership (dependent variable) according to the impact of organizational citizenship behavior (independent variable), emotional intelligence (moderating variable). The research method is mixed and Delphi. A questionnaire was used to collect the required data. In this research, in the qualitative part, information was collected using a semi-structured interview and a questionnaire from a Delphi panel or experts, and the collected information was subjected to content analysis using the scientific method and through Maxqda software, and the components The results of that led to the production of a questionnaire in the quantitative section. This questionnaire includes 3 components of spiritual leadership, organizational citizenship behavior and emotional intelligence, 17 dimensions and 63 questions. The statistical population of the current research in the quantitative part is 240 employees of the public libraries of Fars, Kohgiluyeh and Boyer Ahmed provinces, who were selected by a one-stage cluster random method. It is necessary to explain that in order to collect the questionnaire information, two online and manual methods were used to collect the required information. Spss and Amos software were used in this section (quantitative) to analyze the data collected from the questionnaire. Results: Both research variables, organizational citizenship behavior (independent variable) and emotional intelligence (moderating variable) have a positive and significant effect on spiritual leadership.