e

The purpose of this research was to analyze and validate the consequences of communication maturity in Iran's government organizations. This research was done with a practical purpose and with a mixed approach and exploratory strategy. The qualitative part was done with thematic analysis method and the quantitative part was done with descriptive-survey method. The statistical population of the qualitative section was university and organizational experts who were interviewed by targeted sampling, 16 people until complete theoretical saturation. The statistical population of the quantitative part was also the employees of the Agricultural Jihad Organization of West Azerbaijan Province, who were selected as the sample of the study using stratified-proportional sampling method. The analysis and analysis of data in the qualitative part of the model proposed by Brown and Clark (2006) and in the qualitative part to measure the validity of the themes and the index  Confirmatory factor analysis was used. The findings showed that the model of the consequences of communication maturity on five overarching themes: (1) improving productivity, (2) improving the satisfaction and trust of stakeholders, (3) improving organizational innovation and competitiveness, (4) improving the mental and emotional health of employees, and (5) ) Achieving order and organizational integrity is solid.  The results of this research, while developing the theoretical literature, help a lot to strengthen the culture of communication and improve the performance of organizational communication and lead to the empowerment of human resources such as improving interpersonal communication skills, effective listening skills, negotiation skills and conflict management

Tourism services are one of the most vital industries on world economy, and at the same time, they are very prone to crisis. Important unexpected events that affect tourism may include external conditions such as natural disasters, epidemic diseases, terrorist attacks, financial crises, as well as internal events such as family crises. In addition, incidents such as political, economic, social and technological issues can disrupt the performance of tourism-related organizations and require the response of regional tourism organizations and local authorities in order to minimize damage of tourism destinations. A wide range of tourism services such as accommodation, transportation, reception, tour guide, and many others are affected by various crises. therfore, crisis management in tourism, both at the level of the organization and at the level of tourism destinations, is a big challenge. Tourism is inherently vulnerable to countless crises, from epidemics to terrorist attacks, and can significantly affect its performance and reputation. The occurrence of various crises in tourism activity is inevitable and can occur in form of natural and human hazards in tourism community and endanger the safety of tourists. Therefore, the research was conducted with the aim of identifying and prioritizing the factors that create emergency (critical) conditions in tourism tours.

Crises, including the Corona crisis, can have profound effects on societies and cause a loss of public trust. Therefore, it is very important to plan and implement appropriate strategies to restore the image of the destination and increase the trust of the organization using social media. Yazd is one of the provinces that may face various crises due to different climatic conditions. In such a situation, organizations need to present their information and actions to the public by using social media to increase people's trust. The present study was conducted with the aim of identifying the factors influencing the recovery of the destination image and the organization's trust in social media after the crisis in Yazd province. Descriptive research is a survey. The statistical sample of the research included 65 tourists from Yazd province, who were selected and interviewed non-randomly. Data and scenarios were analyzed using fuzzy cognitive mapping technique and the research model was designed using social network analysis. In this regard, several factors are involved, among which the factors emphasizing the importance of passenger safety and security, continuous and clear information regarding changes in passenger plans, and accurate and up-to-date information about the crisis situation were respectively the most important; Because they were more central. Emphasizing the importance of these three factors can have a significant impact on improving communication and creating a sense of trust among travelers through social media after the crisis and restoring the image of the destination from the perspective of travelers.

According to the number of existing accommodation facilities and the number of tourists, hotels must compete with each other to attract as many tourists as possible. Increasing competition, diversity in customers' tastes and needs, and the emergence of new technologies have required hotels to provide distinctive services and experiences to attract and retain their customers, because loyal customers ultimately have a positive effect on hotel performance. One of the factors that can create value for hotel customers is paying attention to social responsibility. The purpose of this research is to investigate the effect of social responsibility of hotels on customer loyalty based on the mediating role of brand image, commitment and customer satisfaction. The statistical sample is the guests of 4 and 5 star hotels in Tehran, who were sampled as available. Structural equation model has been used to measure the relationship between variables. The results of the research showed that the social responsibility of hotels has a positive effect on the variables of brand image, commitment, satisfaction and loyalty. Therefore, by addressing social responsibilities through improving the brand image and customer commitment and satisfaction, hotels can cause Loyalty and repeat their stay in the hotel and improve their performance.

With the development of technology, e-tourism attracted the attention of many tourists. The goal of this study was to design an e-tourism model based on the business model canvas. The current research is qualitative and based on Grounded Theory. The samples were selected by purposive sampling method. After the interview, the data was analyzed with MAXQDA software. Research findings indicated that the e-tourism model included causal conditions, underlying conditions, intervening factors, strategies. The creation of the electronic tourism system is a logical consequence of the digitization of all processes of the value chain of the travel and tourism industry. Smart or electronic tourism is actually a new idea of serving tourists and as a new and new approach, it causes a better promotion of the position of tourism and business by providing the required requirements. Based on the findings of this research and the importance of the e-tourism approach, it is recommended to the managers and officials of the country's tourism organizations to develop and strengthen new technologies in the country with scientific and coherent plans. Equipping facilities and using new technologies is a way to expand e-tourism.

The current research has been carried out with the aim of identifying and prioritizing the dimensions of fascination for the tourism destination brand. In terms of its purpose, the current research was developmental-applied, and in terms of the data collection method, it is considered part of descriptive research. The statistical population of this research is considered to be all foreign tourists who visited Tehran, who are at least 18 years old, and who have visited the tourist attractions of this city. The necessary data were collected through 2 researcher-made questionnaires of 57 questions and 50 questions from two samples of 220 and 210 people selected by sampling method from the unlimited and accessible population. SPSS and smart-PLS software were used to perform exploratory and confirmatory factor analysis. Moreover, for the assessment of validity (convergent and divergent) and reliability, the index AVE, the Fornell-Larcker index, Cronbach's alpha, and composite reliability was used. The exploratory and confirmatory factor analysis results identified 9 dimensions for fascination with the destination brand and were prioritized based on Shannon's entropy method. Considering the weights obtained from Shannon's entropy, it was found that dimension of Attractiveness has the highest weight and importance, and the dimensions of Richness, Pleasure, Arousal, Dominance, Mystique, Friendliness, Uniqueness and Fitness are in the next priority. Furthermore, the research findings indicated that among the sources of information utilized by respondents for planning their trips to Tehran, the most popular information source has been tourism websites, the second most popular source of information has been brochures and advertisements, and the third source has been travel agencies

With the increasing development of technologies and communication methods, the use of digital marketing to advertise and promote services and products has become very important. One of the industries that benefit from these methods is the medical tourism industry. Also, considering the ever-increasing growth of technology and the widespread use of the Internet in different societies, the use of artificial intelligence and related technologies is very important. Therefore, the aim of the current research is to identify the effective factors on digital marketing in medical tourism with an emphasis on artificial intelligence (case study: Tehran). This research is a survey in terms of practical purpose and in terms of data collection. The statistical population of the research included 53 medical tourists from Tehran, who were selected to participate in building the model. For this purpose, the conceptual framework of the specific model and the data were analyzed using tools and techniques of fuzzy cognitive mapping and social network analysis. The results showed that several factors are involved in digital marketing in medical tourism with an emphasis on artificial intelligence (case study: Tehran city), including site optimization and branding factors in search engines, marketing targeting, better evaluation of marketing campaigns and better feedback from Audiences were the most important in order; Because they were more central.

Despite the importance of retirees' knowledge in resolving various complexities and challenges in the refinery supply chain, including risks arising from oil price and market fluctuations, lack of cooperation and coordination among supply chain members, oil challenges such as leaks and fires, etc., in recent years, a significant amount of knowledge has been lost with the retirement of employees. The purpose of this study is to analyze the return of retirees' knowledge in the Isfahan Refinery supply chain.

Design/methodology/approach: 

The present study is applied in terms of its purpose, descriptive-causal in terms of its nature and method, and a cross-sectional survey-type non-experimental study in terms of data collection. Initially, 12 factors affecting the return of retirees' knowledge were identified based on a literature review and research background and were approved by academic and industrial experts (Isfahan Refinery). In order to present the conceptual model of the research, the interpretive structural modeling approach was used. In this section, a paired comparison questionnaire was designed among the factors affecting the return of retirees' knowledge in the Isfahan Refinery supply chain. Then, using the judgmental sampling method and opinion polls from 15 academic and industrial experts, the relationship between the factors affecting the return of knowledge of retirees was identified and a conceptual model was presented. In order to confirm or reject the conceptual model, the structural equation modeling approach and Smart PLS3 software were used. Using the convenience sampling method, 300 questionnaires were distributed among the employees and managers of Isfahan Refinery, of which 243 questionnaires were returned. The validity of the research questionnaire was confirmed using convergent validity (factor loading coefficients and AVE criterion) and divergent validity (Fornell-Larker table). Also, the reliability of the research questionnaire was confirmed using Cronbach's alpha and composite reliability criteria.

The results of this study showed that government support with a path coefficient of 0.495 and knowledge and experience of retirees with a path coefficient of 0.416 have an effect on top management support, top management support with a path coefficient of 0.789 on financial incentives, and with a path coefficient of 0.854 on non-financial incentives. In addition, the results of the study showed that financial incentives with a path coefficient of 0.383 and non-financial incentives with a path coefficient of 0.522 have an effect on the culture of maintaining and promoting organizational knowledge, the culture of maintaining and promoting organizational knowledge with a path coefficient of 0.817 on the use of advanced technologies, the use of advanced technologies on the desirability of working environment with a path coefficient of 0.787, the desirability of the work environment with a path coefficient of 0.805 on employee participation and collaboration, and employee participation and collaboration with a path coefficient of 0.774 on organizational coherence and stability. Other results of this study include the effect of organizational cohesion and stability with a path coefficient of 0.797 on facilitating communication and the effect of communication facilitation on the quality of products and services with a path coefficient of 0.804. In addition, the results of the study showed that the return of knowledge of retirees plays a decisive role in resolving challenges in the supply chain of Isfahan Refinery. In addition, based on the conceptual model presented from the interpretive decision-making modeling approach, government support and the knowledge and experience of retirees have been identified as key factors in the return of knowledge of retirees in the supply chain of Isfahan Refinery.

Research limitations/implications: 

The present study, like many studies, has limitations in the field of conducting research processes. Among these limitations, we can mention the lack of examination of different cycles between stimuli, which has always existed as a structural limitation in the structural equation technique, and it is suggested that in future research, the return paths between the relationships formed in this study be examined. Also, considering the use of a questionnaire as a data collection tool and its distribution among Isfahan Refinery employees and managers and academic experts, their mindset and attitude in completing the questionnaire may have affected the results of the present study. In addition, the present study was related to the Isfahan Refinery supply chain, and its results should be generalized with caution to other similar organizations and industries.

Practical implications: 

This research has various implications for the refinery supply chain. Using retirees' knowledge can reduce various problems in the refinery supply chain, including oil field exploration, oil price fluctuations, lack of coordination and cooperation between supply chain members, high repair and maintenance costs, transportation costs, etc. In addition, the results shown in this research based on the use of retirees' knowledge in solving various supply chain problems and challenges can encourage other industries to use their retirees' knowledge. Also, the return of retirees’ knowledge can lead to improved crisis management and reduced risks in the supply chain, as these individuals usually have experience in critical situations and can help design and implement successful strategies. This process can lead to increased productivity and reduced costs in the supply chain, which is of particular importance for the refinery’s competitiveness. Furthermore, fostering collaboration between active employees and retirees can promote a culture of continuous learning and knowledge sharing that is critical to adapting to industry change. This engagement not only helps to facilitate the onboarding process for new employees, but also helps to preserve organizational knowledge that might otherwise be lost. Involving retirees in advisory roles can also help to strengthen organizational resilience, as their guidance can be invaluable during times of crisis or transition. Ultimately, these outcomes lead to increased productivity, reduced operating costs, and improved competitiveness, better positioning the refinery for sustained success in a dynamic marketplace.

Originality/value:

 Using the experiences and knowledge of retirees in the Isfahan Refinery supply chain can bring various benefits such as reducing costs and time wasted due to trial and error, reducing rework, improving performance, etc. Therefore, it is necessary to identify key factors in the return of retirees' knowledge, given the large amount of knowledge that is lost when people retire from the Isfahan Refinery.

Universities are affected by the effects of technological changes and such changes affect the key functions of the university such as development and management of knowledge and human resource training. For this reason, it is necessary to identify the mega trends affecting future universities from the perspective of technological developments and analyze their effect on the economy of higher education. Technological developments on universities have an impact on the future of higher education in Iran in different dimensions. In this article, according to the scope of the research, while identifying the mega technological trends affecting the future of universities in Iran, the effects of these mega trends on the financing of public universities were examined. Finally it is necessary to identify the mega technological trends affecting universities in Iran, to identify the impact of these technologies in the future of higher education in different sectors, and to make appropriate policies. Technologies undoubtedly play a huge role in education now and in the future at all levels, a fact that has been especially strongly reinforced by the situation of the Covid-19 pandemic. These technological developments create opportunities and challenges for universities, which must be responded to in a scientific and policy-making process. In this research, two key research questions have been answered: Question 1: What are the mega trends affecting the future of universities in Iran related to the development of new technologies in the field of education? Question 2: What are the effects of identified mega trends on public universities in Iran in the field of financing?

A single case study methodology was used to carry out this research. The mentioned research is at the level of macro-policy making and is studied by public universities. In this research, based on the methodology of a case study through the study of literature, mega trends affecting the future of universities were identified from the perspective of technological developments. Then, based on previous studies, a series of evidence, events and statistics, as well as exploratory interviews with experts, the initial theoretical framework of the research, consisting of 15 mega trends, was presented. Next, the initial theoretical framework was verified using tools such as studying documents and previous studies, statistics and events, and interviewing 13 experts. The selection of experts was based on direct identification and the snowball method and continued until theoretical saturation was reached. Interviews with experts were coded and in the article some of the experts' points of view related to each mega trend are presented.  One of the main steps of research is research validation. Four features including construct validity, internal validity, external validity and reliability were validated in single case study in this research.

Based on previous studies, a series of evidences, events and statistics, as well as exploratory interviews, the initial theoretical framework of the research consisting of 3 sections and 15 mega trends was presented. In the following, the initial theoretical framework was examined based on the case study method and tools such as the study of previous documents and activities, statistics and events, and interviews with experts. Based on this, while revising the mentioned framework, the number of mega trends was reduced from 15 mega trends to 8 mega trends and 19 policy proposals were presented. The 8 mega trends presented in the final framework include mentoring, self-learning, interdisciplinary and skill-based training, blended learning, online and simulated laboratories, online tests, entering new sectors in education and global competition in attracting students. The results of the research show that the 8 mega trends caused by technological developments have a high effect on at least one method of financing in public universities, and it is necessary for policy makers, managers and researchers to understand the effects of these mega trends on the development of universities in Iran.

Research limitations:

 It is suggested to use quantitative and qualitative methods to expand the scope of research from public universities and the financing sector to all kinds of universities and other higher education sectors. Also, universities have various dimensions (such as technological infrastructures and educational methods) that are affected by technological mega trends and it is necessary to investigate in the future researches. The issue of the effects of new technologies such as artificial intelligence is one of the topics of future research from the technical and managerial perspectives in higher education. In the end, it is suggested that the results of the mentioned research should be examined in different public universities with different levels of ability, and the specific characteristics of the universities.

Practical implications: 

The results of this research can be used by policy makers, managers and researchers. Paying attention to multiple specializations in faculty members, employing lecturers from industry in universities, using new business models in public universities to realize continuous and short-term education, paying attention to new technologies such as artificial intelligence in teaching students, More use of self-learning methods, special attention to non-formal education, more serious attention to the needs of industry and society, allocation of funds by the government to equip classrooms with new educational technologies, changes in curricula based on flexibility and continuity, Creating new methods of online and virtual exams, creating virtual laboratories, paying attention to university marketing especially in attracting foreign students, using international infrastructure in the field of education and creating international consortia in holding training courses are among the practical suggestions of this research.

Originality/value: 

In this research, the main goal is to identify the mega trends of technology and examine the impact of mega trends on the future of universities in Iran. Of course, in this research, the focus is on public universities and the financing system in Iran. These technological developments are presented in the context of new technologies such as digital transformation and have serious effects on the activities and performance of the university in the future. The research results are useful and valuable for various stakeholders of higher education, including policy makers and administrators. Also, providing original data from interviews with experts also adds to the value of the research.

Although new technologies, such as artificial intelligence, are transforming the public relations and communications profession, there is a scarcity of research on the impact of artificial intelligence in this field. In recent years, significant advancements in artificial intelligence technology have prompted organizations to seek solutions for enhancing the efficiency and effectiveness of their public relations unit. Additionally, knowledge management serves as a crucial element in improving processes and decision-making within this unit. Consequently, there is an urgent need to design models that comprehensively examine the application of artificial intelligence within the public relations departments of organizations. However, comprehensive and practical frameworks for assessing the integration of artificial intelligence into current public relations practices are still lacking. Many organizations continue to rely on traditional and inefficient methods for managing their communications, failing to harness the potential of artificial intelligence. Additionally, a lack of awareness and insufficient training regarding these technologies among public relations professionals has hindered their acceptance and implementation. Therefore, this article aims to develop a model for utilizing artificial intelligence to transform the procedures of public relations unit in organizations, with a particular emphasis on organizational knowledge management, based on grounded theory. In this context, the present study seeks to identify the causal conditions, intervening factors, phenomena, background conditions, strategies, and consequences associated with the implementation of artificial intelligence in public relations departments by examining the experiences of professionals and students engaged in related fields.

The current applied research is based on an interpretive (constructivist) paradigm with a qualitative approach, specifically focusing on data-driven theory to develop a model for the application of artificial intelligence in the public relations units of organizations. The statistical population for this study included faculty members, experts, and students engaged in the fields of public relations, human resource management, artificial intelligence, and psychology. A purposive snowball sampling method was employed to select the research sample, continuing until theoretical data saturation was achieved. Data collection was conducted through semi-structured interviews with experts, sociologists, and selected students from the relevant fields, resulting in a total of 17 participants being interviewed, which marked the point of theoretical saturation. Each interview lasted between 60 and 65 minutes. Following each session, the interview content was transcribed from the recorded audio files and manually coded using the systematic approach developed by Corbin and Strauss. The interview transcripts were initially coded and categorized paragraph by paragraph, followed by a comprehensive coding and categorization process conducted in three stages. After coding all 17 interviews, the researchers reviewed the codes, eliminating duplicates and merging similar codes. Ultimately, the causal, contextual, intervening, strategic, and consequential conditions related to the central theme of utilizing artificial intelligence within public relations units were identified. To ensure the validity of the research, triangulation and external validation through a third-party reviewer were employed. The reliability of this qualitative study was further confirmed by recording participants' voices with an interview recorder, meticulous note-taking during interviews, and involving a second coder who achieved an agreement coefficient of 86%. Finally, after incorporating feedback from three experts overseeing the research process, necessary revisions were made, and the final research model was constructed based on the systematic approach of data-driven theory.

Based on the analysis and review of the interview transcripts, along with the coding and categorization process, a total of 101 open codes were identified, highlighting the causal, contextual, intervening, strategic, and consequential conditions related to the central theme of utilizing artificial intelligence in the public relations units of organizations. The motivations for employing artificial intelligence in these units were classified into four main categories: efficiency and productivity, enhancement of customer service, market research and analysis, and innovative aspects. Contextual factors were divided into two categories: technological conditions and organizational conditions. Intervening factors were categorized into two primary areas: market conditions and social/legal conditions. Strategies for implementing AI were identified across five categories: training and empowerment, culture building, fostering coordination, operational strategies, and promoting awareness and motivation. These strategies are anticipated to lead to improved communication, process optimization, enhanced credibility and transparency, reduced communication quality issues, and addressing technical and operational challenges, all of which play a crucial role in the effective utilization of artificial intelligence within public relations units. Ultimately, this research offers significant insights for managers regarding the transformative potential of AI in public relations practices. Through a rigorous qualitative methodology grounded in empirical data, it sheds light on the opportunities and challenges associated with integrating AI into public relations. As organizations navigate an increasingly complex communications landscape, adopting AI technologies is vital for enhancing efficiency, improving stakeholder engagement, and maintaining a competitive edge. By identifying key components and developing an applied model for optimizing public relations practices through AI, this study explores the causal, contextual, intervening, strategic, and consequential conditions for AI implementation in public relations departments and aims to provide practical solutions to facilitate digital transformation within organizations.

Research limitations:

 Despite yielding valuable findings, this research has several limitations. The research methodology is a primary limitation of the present study. Although data were collected through semi-structured interviews and adhered to scientific principles, the small sample size may limit the diversity and representativeness of the results, potentially impacting the overall conclusions. Future researchers could enhance the qualitative data obtained from interviews by incorporating quantitative data, thereby providing a broader perspective on the research problem. It is recommended that future studies explore the role of human creativity in conjunction with artificial intelligence in public relations. This approach could help identify the strengths of both domains and offer solutions for more effective collaboration between humans and machines. Based on the findings of this research, organizations are encouraged to implement continuous training programs for their employees focused on artificial intelligence and its applications in public relations. Such initiatives can help develop the necessary skills for the effective and efficient use of these technologies. Given the rapid pace of technological change, organizations must continuously analyze market trends to leverage the latest innovations. Implementing artificial intelligence-based tools within public relations departments can significantly benefit organizations by enhancing their ability to adapt and thrive in a dynamic environment.

Originality/value: 

Considering the rapid technological advancements and the necessity to enhance efficiency in organizational communications, this research offers valuable insights for managers on how artificial intelligence can transform public relations practices within organizations.

The Spring 2025 issue of Smart Strategic Management, continuing its interdisciplinary and forward-looking mission in the field of strategic management, features six innovative and practical articles. Each of these articles portrays a distinct view of the emerging needs and technological capabilities of organizations in today’s turbulent world. From designing intelligent models for segmenting corporate clients in banks using distributed neural architectures, to analyzing organizational maturity in implementing artificial intelligence, from designing value-based strategic models in business training to examining fintechs and their vital role in bank stability, all of these articles demonstrate that today's management is no longer able to respond to complex environmental challenges without utilizing technology, customer emotional insight, and advanced analytical frameworks.
By combining theoretical, technical, and applied aspects, the research in this issue both enhances the strategic management literature and provides effective tools for decision-making to managers, policymakers, and researchers. The overall approach of this issue is to emphasize the "synergy between technological innovation and social responsibility"; where ethics, alongside algorithms, find meaning, and artificial intelligence, in conjunction with human values, can build trust and bring sustainable competitive advantage to organizations.

This research presents an approach based on customer lifetime value (CLV) and artificial neural networks (ANN) to classify bank corporate customers. CLV in banking means how much financial value each customer creates for the bank. The research is of an applied and quasi-experimental type and the statistical population includes 127,672 corporate IDs in the Tejarat Bank Corporate Customer System. Data are collected by scanning customer files over a six-month period. Sampling is by enumeration. K-means algorithms and artificial neural networks are used to cluster customers. Simulations showed that the artificial neural network algorithm provides more accurate results than the K-means algorithm. This approach can effectively classify customers into three clusters. The clusters were reviewed based on the opinions of banking experts; in order to conduct a deeper analysis. Based on the data of Tejarat Bank's corporate customers, these categories were analyzed in terms of CLV. Marketing and sales strategies were developed for each customer cluster. The approach proposed in this research can help banks improve their customer segmentation process and ultimately increase profitability and customer retention.

The aim of this research is to develop an intelligent strategic decision-making model based on customers' emotional and behavioral interactions in social networks. In this regard, the effect of the variable "empathy" as an emotional indicator on "purchase intention" has been examined and the mediating role of the variables "customer participatory behavior", "customer citizenship behavior" and "brand value" has been carefully analyzed. Also, the moderating role of "extra-social relationships" as an influential factor on the occurrence of participatory and citizenship behaviors has been evaluated. The statistical population of the research includes digital goods customers in social networks, which were considered unlimited and, using the Cochran formula, the sample size of 384 people was determined and collected using the available method. The research method is applied in terms of purpose and descriptive-survey in terms of data collection method. Data were collected through a questionnaire with a five-point Likert scale and analyzed using SPSS.V24 and Smart PLS.V3 software in two parts of descriptive and inferential statistics. The results of the study show that the variables of empathy on brand value with the mediating role of customer participation behavior (0.147), empathy on brand value with the mediating role of citizenship behavior (0.225), empathy on purchase intention with the mediating role of citizenship behavior (0.298), empathy on purchase intention with the mediating role of customer participation behavior (0.311), empathy on customer participation behavior with the moderating role of extra-social relationships (0.264), empathy on citizenship behavior with the moderating role of extra-social relationships (0.093), customer participation behavior with the mediating role of brand value (0.120), and citizenship behavior with the mediating role of brand value (0.251) have a significant effect among digital goods customers on social networks.

This study investigates the impact of fin tech companies on the financial stability of banks in an emerging market context. Utilizing a sample of 26 banks over the period 2012-2022, the findings suggest that the growth and development of fin tech companies positively influence bank stability. This positive relationship is robust across various sub-sample analyses, considering factors such as bank size, ownership structure, and corporate governance. These findings contribute to a growing body of literature on the evolving relationship between traditional banking and fin tech. Further research is warranted to explore the specific mechanisms through which fin tech innovation enhances bank stability and to assess the potential for systemic risks arising from the rapid growth of the fin tech sector.

The educational role of favorable social relations on human health from the perspective of the Qur'an and the traditions of the Prophets is a topic that investigates effect of positive and constructive relations in improving the physical and mental health of people. The Holy Quran and the hadiths of the Prophet emphasize the importance of healthy communication and cooperation in social life and its role in strengthening morale, reducing stress and improving mental health. Therefore, this study has investigated the role of favorable social relations on human health from the perspective of the Qur'an and hadiths. A qualitative method was used. The findings show that the positive principles of the Qur'an in social relations are based on positive emotions and human values, compassion and kindness in social relations, peace of mind, agreement and social ethics. the effects of social relations on human health can be seen in cases such as reaching the desired point of hope, mental discharge or emotional release, and mental and emotional vitality. Verses and traditions also emphasize the positive role of these relationships in reducing conflicts and promoting empathy and cooperation among people, which ultimately leads to the improvement of the physical and mental health of society; Therefore, from the perspective of religious sources, one of the important educational effects of social relations is the effect on human health. Therefore, favorable social relations will not only lead to individual health, but will also lead to the creation of a stable and dynamic society.

Fraudulent behaviors, while negatively affecting the trust, reputation, and integrity of individuals, organizations, and society, cause financial and non-financial harm and losses to individuals and organizations. Given the lack of studies on the relationship between the antecedents and consequences of the manifestation of accountants' dark personality traits, the present study examined the causal relationships between the components of the native pattern of the manifestation of accountants' dark personality traits (Ahmadi et al., 1403) and prioritized its consequences using SEM and OPA approaches. The statistical sample of the quantitative part of the study consisted of 222 members of the certified public accountants' community with at least a master's degree and at least 10 years of work experience, who were selected using the convenience sampling method. In order to collect data, two researcher-made questionnaires and the standard questionnaire of Jennison and Webster's (2010) dark personality traits were used. The findings of the structural equation modeling technique, which was conducted using Smart PLS software, showed that weak religiosity and personality pathology had a significant effect on the manifestation of dark personality traits of accountants; the effect of the manifestation of dark personality traits, weak religiosity and personality pathology on the fraud diamond; the fraud diamond had a significant effect on deviation from accounting and auditing standards, deviation from ethical requirements and negative professional consequences; and finally, deviation from accounting and auditing standards and deviation from ethical requirements had a significant effect on negative professional consequences. Also, based on the results of the

Economy and development in this field have been essential for human life throughout history, and providing necessities and creating prosperity are the main concerns, and each religion and school in its territory has always promised to fulfill human needs better and more. In the meantime, Islam, as a heavenly religion, presented its program in this area in the form of an economic model, fourteen centuries ago. The purpose of this research is to study and explain the Islamic model of economic development at the beginning of Islam. Max Weber's work on the role and function of religion in economic development and the views of Muslim thinkers on the function and impact of the Islamic program in the change and development of human life has been carried out using the research method of content analysis and documentary-historical analysis. The statistical community of this research is Ayat Quran, prophetic hadiths and events are the beginning of Islam. The results of the research show that 10 percent of verses and 15 percent of hadiths are related to the concept of economic development, focusing on the components of change in attitude towards business and transactions, the importance of zakat and charity, and the issue of inheritance and financial responsibilities of each It is the people of society.

This research aims to predict women's career success considering their employment policies with the mediating role of the glass ceiling.

The statistical population of the research includes all female employees of Kerman University of Medical Sciences in 2022, with a sample size of 760 selected through convenience sampling. The data collection tools include three researcher-made questionnaires: women's employment policies with a reliability of 0.941, the glass ceiling with a reliability of 0.951, and the career success questionnaire with a reliability of 0.924. For data analysis, Pearson correlation coefficient and multiple linear regression were used.

There is a relationship between women's employment policies and their components with career success at Kerman University of Medical Sciences. The components of women's employment policies simultaneously explain 60% of the variance in career success. Knowledge enhancement, social support, career advancement, presence in managerial fields, organizational support, family responsibilities, competence, dignity preservation, and presence in political arenas are the best predictors of career success at Kerman University of Medical Sciences, in that order. The glass ceiling plays a mediating role in the relationship between women's employment policies and their components with career success at Kerman University of Medical Sciences.

The glass ceiling, as a structural barrier in the workplace, plays a significant role in determining the level of women's career success. Therefore, developing and implementing policies aimed at reducing or eliminating the glass ceiling can lead to improved career success for women in academic environments.

Secularism and religion are two opposing phenomena, both of which discuss the role of religion in society and government. Secularism means the separation of religion from politics and government, and jurisprudence, as a branch of religious sciences, deals with the interpretation and adaptation of religious rulings to different times, places, and conditions in order to promote democracy in the society at the same time as religiosity. implement In fact, Islam is a religion that emphasizes believing in God and following his teachings and commands, and monotheism, prophecy, the book, resurrection, and the Sharia are the foundations of this heavenly religion. Islamic jurisprudence helps in understanding and deriving Sharia rulings and investigates religious rules and regulations in various social, political and cultural fields of daily life of Muslims. And in this direction, he takes help from four main sources, namely the book (Qur'an), Sunnah, consensus and reason. The jurists discuss the abilities and capabilities of this knowledge to respond to the needs and sharia issues of the society. The upcoming research examines the capabilities of jurisprudence in confronting and confronting secularism by using library sources and documents and with a descriptive and analytical method. The results of the studies show that the science of jurisprudence has the ability to apply Sharia rulings to real conditions and can extract the relevant rulings from Islamic sources and provide appropriate arguments to solve Sharia issues and be a good solution for social issues and opposition. It does not progress with secularism and democracy.

The Internet, like other phenomena and new scientific and technical tools, has created new dangerous situations for people at all levels of society, despite its many advantages and benefits. Internet phenomenon has affected the occurrence of crimes in two ways in terms of its unique features. First, it has made it possible to commit new anti-social behaviors that were not possible before the advent of information technology, and secondly, it has made it easier to commit common criminal behaviors and greatly reduced the cost of committing them. The most cases of Internet and computer crime in 2014 in Iran, 32 cases of misuse of credit cards, 11 cases of Internet fraud, 7 cases of harassment through the Internet, 3 cases of copyright and 2 cases of publishing falsehoods through the Internet and 5 cases of It has been miscellaneous.The Internet, like other phenomena and new scientific and technical tools, has created new dangerous situations for people at all levels of society, despite its many advantages and benefits. Internet phenomenon has affected the occurrence of crimes in two ways in terms of its unique features. First, it has made it possible to commit new anti-social behaviors that were not possible before the advent of information technology, and secondly, it has made it easier to commit common criminal behaviors and greatly reduced the cost of committing them. The most cases of Internet and computer crime in 2014 in Iran, 32 cases of misuse of credit cards, 11 cases of Internet fraud, 7