sustainable development

Sustainable tourism is a new but very important concept in the tourism industry. Countries can multiply their profits from this industry by following a few simple tips. The purpose of this article is to investigate the sociological factors of the market on sustainable tourism with an emphasis on the attraction of commercial tourism in Ganaveh city. The statistical population of the research includes 43,965 citizens over the age of 18 living in Ganaveh city. The statistical sample using Cochran's formula was 381 people who were selected as available. The research method is descriptive-correlation in nature and practical in terms of purpose, and researcher-made questionnaires were used to measure the research variables. Data analysis was done with the help of SPSS software and hypothesis testing was done with structural equation method in SmartPLS software. The results of this research showed that among the factors affecting the development of tourism in Ganaveh city, according to the current requirements, including the commercial market and stores, tourism infrastructure, economic power, natural power, tourism facilities, demographic-social power, and it was also determined. Each of the above components is about 38.5% of the commercial market and stores, about 19.6% of tourism infrastructure, about 36.8% of economic power, about 39.5% of natural power, about 42.9% of tourism facilities, and finally, about 21% of the demographic-social power component. They explain the changes related to sustainable tourism development. Finally, the city of Ganaveh is in a good condition from the point of view of the categories affecting the development of sustainable tourism, such as tourism infrastructure, economic power, natural power, demographic-social power and tourism facilities.

Developing and exploiting the talents of these young elites is a fundamental and vital responsibility for educational organizations and institutions. Considering this fact, the management of students' talent with the sustainable development approach has been considered as a new and efficient approach for the continuous and sustainable development of students' talents. Therefore, the aim of the research is to identify the factors of students' talent management with a sustainable development approach and provide a model. In this regard, the current research was conducted with a qualitative approach and in terms of purpose, it is among applied researches and using the Brown and Clark theme analysis method. In this research, by conducting semi-structured interviews with 15 experts, including professors, senior managers, and faculty members, information was collected through targeted sampling. Then, using thematic analysis method, the information extracted from the texts and interviews were categorized and analyzed. Also, to ensure the validity of the research, in addition to applying the researcher's sensitivity strategy in the research process, the findings were provided to 3 university experts and were approved. The results showed that the talent management factors of students with a sustainable development approach should have characteristics such as internal factors, external factors, macro factors, micro factors, and organizational factors. Also, by implementing educational programs, developing practical skills, encouraging participation in activities related to society and industrial communication, students' talents can be developed sustainably and prepare them to enter the labor market. This approach, in addition to increasing students' performance and ability

The sustainable value chain of the Iranian petrochemical industry plays a key role in achieving sustainable development in the Islamic Republic of Iran by increasing productivity, reducing environmental pollutants, and developing downstream industries. Therefore, the purpose of this study was to identify and prioritize the drivers of optimizing the sustainable value chain of the Iranian petrochemical industry with a strategic foresight approach.

The present study is based on the analysis of the interaction/structural matrix with a strategic foresight approach in terms of its method and is of a developmental-applied type in terms of its purpose. The statistical population of this study consists of 15 academic experts and senior managers of the petrochemical industry in the Islamic Republic of Iran. The data of this study were collected through semi-structured interviews and a qualitative questionnaire rated from zero to three according to the interaction/structural matrix and analyzed with the Miqmac statistical software.

The findings of this study showed that the drivers of promoting a culture of sustainable development and corporate social responsibility are the development of new technologies and digitalization of business and production processes, the implementation of monitoring systems for safety, environmental, and occupational health standards, flexibility, and integration of the supply chain and production processes as influential drivers (influence).

The results of this study showed that prioritizing the drivers of optimizing the sustainable value chain of the Iranian petrochemical industry with a strategic foresight approach can help petrochemical companies achieve a sustainable value chain by focusing on economic, social, and environmental development goals.

Today, economic and environmental challenges have made sustainable development a top priority for countries. In this regard, Jihadi management strategies have gained significance as an innovative approach to utilizing marine resources and preserving the environment. This study examines the impact of these strategies on the sustainable development of Iran's marine economy. The research method is applied in terms of purpose, quantitative in data type, and descriptive-analytical with a correlational approach in design. Data were collected from 335 respondents using a researcher-made questionnaire, and the validity and reliability of the tool were confirmed with standard indices. Findings revealed that Jihadi management strategies, including human development, justice, environmental protection, and social participation, significantly affect the sustainable development of Iran's marine economy with 99% confidence. Social participation had the highest impact, with a coefficient of 0.743. These results indicate that Jihadi management strategies, by enhancing economic productivity and protecting marine resources, contribute to improved environmental and social conditions. The findings provide a scientific basis for policymakers and economic stakeholders to design effective programs in the marine economy sector.

Social sustainability is a process for creating sustainable successful places that promote wellbeing, by understanding what people need from the places they live and work. Social sustainability combines design of the physical realm with design of the social world – infrastructure to support social and cultural life, social amenities, systems for citizen engagement, and space for people and places to evolve. That Artificial Intelligence (AI) can be used as a tool for environmental and climate action is today evident. AI has a great potential to assess, predict, and mitigate the effects of climate change as it gathers, interprets, and completes large and complex datasets on emissions and climate impact, which provides better solutions for informed decision-making. Artificial intelligence systems are complex socio-technical–ecological systems that are associated with multiple social, environmental, and economic challenges. Current discussions raise the question of whether AI systems impede or support a social and ecologically just society. Given the widespread impact of artificial intelligence technology in improving efficiency, increasing innovation, and enhancing decision-making quality in companies, this technology can play a significant role in promoting social sustainability. Therefore, the aim of this research is to evaluate the impact of adopting this technology on social sustainability in knowledge-based companies in Isfahan Province.

This research is developmental-applied in terms of its purpose and qualitative-quantitative in terms of its study approach. In terms of its nature, it is a mixed exploratory study with a cross-sectional time horizon. To collect data in the qualitative section, a systematic literature review was used, and through content analysis, 10 components (effort expectancy, performance expectancy, social influence, facilitating conditions, trust, privacy and security, work condition, work environment, work safety, and skill development) related to the factors influencing the adoption of artificial intelligence on social sustainability emerged. In the next part, considering the sample size for the population according to Morgan's table, 74 researcher-made questionnaires were completed and collected with the participation of managers of knowledge-based companies in Isfahan Province who are active in the field of information and communication technology. Then, in order to implement the structural equation modeling method, the data was analyzed using the Smart PLS software, and the influential indicators in the adoption of artificial intelligence on social sustainability were classified at four levels, and a power-dependency diagram was drawn for them.

The research findings show that the performance expectancy component is the most effective and influential indicator among the factors influencing the adoption of artificial intelligence on social sustainability, which has a significant impact on other components and therefore should be given more attention. Also, the most affected factors with low driving power are the work environment, social influence, effort expectancy, and facilitating conditions. Finally, the increased use of Artificial intelligence systems (AI systems) is associated with multifaceted social, environmental, and economic consequences.

Today, societies and countries strive for growth and development to achieve superiority over others. Sustainable development encompasses all aspects of growth that each society aims to realize based on its resources and circumstances. This research aims to create a model for advancing sustainable development policies in Iran, drawing from partial successes. The study employs an applied research method with a descriptive-survey approach. It involved ten influential specialists in policy implementation, with sampling continuing until theoretical saturation was reached. Utilizing a qualitative approach and classical grounded theory, data was collected through interviews, which were then coded and analyzed using the emergent (Glaser) method. The findings indicate that multiple factors influence the promotion of sustainable development policies. Based on the new concept of partial successes and extensive coding, six key factors—economic, social, cultural, strategic, environmental, and organizational—were identified, along with 18 sub-indicators. Iran has prioritized these factors to advance sustainable development. Developing countries, including Iran, consider these indicators crucial for formulating sustainable development policies to achieve this significant global objective.

The purpose of this research was to analyze the development of airport management with a sustainable development approach.

The research method was a two-stage exploratory mixed-method tool-making type. In the qualitative part, using the purposive sampling method and theoretical saturation technique, 19 experts in the field of airport management were selected

The results of the qualitative research showed that six categories of legal framework, climate change and flight safety and security, management developments, airport logistics management, integrated management system, and resource optimization can affect airport management with a sustainable development approach. Also, in this research, airport management in the context of macro management; innovative financial mechanisms, creating a supportive structure, green financial incentives, improving financial performance, technology and innovation, change management and economic calls, international policies and regulations are considered as background factors, and two categories of lack of appropriate infrastructure and economic instability are considered as intervening categories. The central category resulting from the causal conditions is sustainable financial societies, data security and protection, growth orientation, biodiversity protection, and the researcher, considering the set of concepts extracted from the interviews and final codes, has mentioned the sub-category of creating long-term value, factors facilitating the success of sustainable measures, and building public trust.

The implications of this research for improving airport management with a sustainable development approach include the implications of aligning with global goals, developing sustainable measures, improving financial efficiency; developing a circular economy in individual airports, and paying attention to urban infrastructure.

The electricity industry, which plays a decisive role in the energy security of countries, has faced many challenges in the world such as increasing demand, greenhouse gas emissions and climate change, reducing fossil fuel reserves and economic conditions. Forecasts have shown that this trend will continue. Considering the continued increase in the demand for electrical energy and climate change, the necessity of policy making in energy efficiency and renewable energies is always considered as one of the strategic priorities in the country's top level documents. In this regard, this research intends to identify the dynamics of the country's electric energy supply system from a macro perspective, paying attention to the trends of drivers of changes in electric energy demand due to climate change, population and economic growth, and based on these dynamics, obtain a correct estimate of the continuation of the existing situation.

Considering the complexities governing the energy sector, the dynamic system approach is very suitable for investigating the issue. Therefore, in this research, the main goal is to present a dynamic model of electric energy supply for Iran and analyze the influencing factors of this relationship. Therefore, it has been tried to study the dimensions of electric energy supply under the influence of climate change in the country. Then, with a systemic approach, the behavior of the electrical energy supply system was simulated based on the climate change trend in the 30-year horizon (1400-1430) in the country.

The obtained results showed that the simulated model can provide acceptable behavior and results compared to reality. With a pathological and systematic view, the effective factors have been examined in a regular and coordinated function to reveal the existing synergies and trade-offs to identify general strategies for providing electrical energy. In the following, according to the declining behavior of the security of electrical energy resources, the identification and evaluation of the policies of supplying electrical energy resources based on adaptation to the climate changes of Iran was discussed. According to the results of the sensitivity analysis of the dynamic model, four strategies include: (1) Electric energy supply based on the management of electric energy supply from non-renewable sources; (2) Electric energy supply based on the management of electric energy supply from renewable sources; (3) Electric energy supply based on electric energy demand management and (4) Electric energy supply based on adaptation to climate changes were identified. In the following, by applying separately and combined policies of each of the strategies; The behavior of target variables of the model was investigated and compared. Finally, combined policies include: (1) reducing supply losses through the productivity of power plant production factors; (2) reducing energy transmission and distribution losses; (3) Per capita reduction of electrical energy consumption; (4) Development of solar power plants and (5) Management of water demand in the food sector; (6) Development of heat recovery systems, (7) Development of wind power plants and (8) Development of biogas power plants were selected as the best policies for supplying electrical energy resources based on adaptation to the climate change process.

Finally, based on the implementation of selected combined policies in the model, in short, the following solutions will lead to the supply of electrical energy security under the influence of climate: (1) 16% development of nuclear power plants in order to manage the supply of electrical energy from non-renewable and low-carbon sources in order to reduce supply losses through the productivity of production factors. (2) 18% reduction in the ratio of production of gas power plants to the total production of non-renewable power plants and increasing the production of combined cycle power plants through conversion from gas to combined cycle in order to increase the productivity of production factors and manage the supply of non-renewable resources. (3) Consolidation of energy and development of heat recovery systems in industrial units in order to develop heat recovery power plants by 32%. (4) Development of biogas, wind and solar power plants according to the key potentials in the country in order to manage energy supply from renewable sources and reduce greenhouse gas emissions. (5) 5% reduction in energy transmission and distribution losses in order to manage demand and maintain electrical energy security. (6) Reducing per capita energy consumption and reaching the global average due to the increasing demand due to population growth. (7) Management of water demand in the food sector by increasing the irrigation efficiency to about 85%, increasing the area of land under the irrigation network and reducing food losses. It is worth mentioning that in this study, the simulation was based on historical trends, so in the field of research proposals for future research, it is suggested to investigate the effects of climate change under climate change scenarios and climate forecasting models. In this review, technical and economic variables are not taken into consideration. More studies are needed on the technical and cost effects of the variability of renewable sources and the effects of extreme weather events on all elements of the energy system. The impact of severe weather changes compared to gradual changes (such as weather events with higher or lower than normal values) can be significant. prolonged periods of calm winds or drought, or reduced predictability of weather patterns, which may occur under more or more severe climate change; It could be problematic for energy systems with a high share of renewable energy in the future.

The main goal of this research is to draw and analyze scientific maps of international researches that are indexed in the reliable Web of Science database in the field of sustainable development and new products. This study, which is a type of systematic review studies, aims to describe the existing knowledge and introduce the trends and future direction of science in a cross-sectional manner and through library studies, and has an exploratory approach, using scientometric indicators and network analysis, authored by countries and Vocabulary occurrence based on social network analysis indicators has been done. The indexed articles in the time period of 1985 to 2024 in the subject area and with a suitable search strategy to obtain maximum sensitivity and minimum irrelevance and improve the validity of the research led to the formation of a statistical population of 497 articles, and after three screening stages, 457 articles were finally included in the analysis. It was finalized and VOSViewer software was used to analyze the scientific maps. The research findings, in addition to introducing the most important keywords, active researchers and research cradle countries in the investigated field, showed that the research process regarding sustainable development and product development in the future will move towards concepts such as sustainable design, cost-effective innovation, entrepreneurship and leadership. Kurds and managers interested in exploiting the results of scientific research can take a clear path towards the realization of sustainable development goals with a comprehensive view of a significant range of variables involved in product development.

The role of sustainable marketing as a central phenomenon in competitive industries including the banking industry is undeniable. The purpose of this research was to design a sustainable marketing model with an emphasis on sustainable development in Iran's banking industry. The current study is fundamental in terms of purpose and qualitative. In the qualitative part, a semi-structured interview was used to collect data, and the Foundation's data theorizing method was used to theorize about the topic. The statistical population consisted of 20 marketing professors and heads of branches in the National Bank. This research obtained 140 primary codes, 27 core categories, and 10 macro categories after conducting interviews. The sampling method in this section was the snowball approach. The data were analyzed with three types of open, central, and selective coding, and relationships between interviews were extracted with MAXQDA20 software. In the quantitative part, a questionnaire was used to collect data, and structural equation modeling was used to validate the model. The statistical population in the quantitative section consisted of 384 customers of Melli Bank. The cluster sampling method was simple. First, Bank Melli branches were divided into 6 clusters and questionnaires were distributed among customers in each cluster based on a random approach. Based on the results of the research, it was determined that individual psychological factors, sociocultural factors, and demographic factors affect sustainable marketing. Sustainable marketing, a complex competitive environment, and motivational factors affect sustainable development and sustainable development has been effective in improving financial performance, employee performance, and marketing performance in Melli Bank.

The purpose of the current research is to provide a model of ecotourism and sustainable tourism development with an emphasis on foreign exchange and economic development of Qeshm Island. The research method is applicable in terms of purpose, and mixed (qualitative-quantitative) in terms of its implementation. The statistical population in the qualitative section includes 19 experts, including managers and experts in the field of tourism, hoteliers, travel agencies, tours and ecotours; by means of the snowball sampling method, and in the quantitative section, it includes 244 employees of the Cultural Heritage Organization, handicrafts and tourism of Qeshm Free Zone. Data collection in the qualitative part was done using semi-structured interviews of the members of the statistical community, and data collection in the quantitative part was done through a questionnaire. In the data analysis of the qualitative part, the coding process in the MAXQDA 2018 software was used, and in the quantitative part, SPSS 16 and AMOS software were used; and the data was analyzed using the factor analysis method. The results in the qualitative section showed that 207 interview codes, 68 subcategories, and 14 categories were extracted. Causal factors include cultural and social factors, the potential of Qeshm Island for tourism and economic and political factors, background features including geographical location, capacity and potential facilities of Qeshm and geosites, intervening conditions including lack of strategy and proper planning and infrastructural problems as well as strategies and interactions include goal-setting and strategy determination to achieve the goal, education and culture building, and providing suitable infrastructure for tourism. The results of quantitative analysis show the significance of measurement models and structural equations at the confidence level of 95%.

The purpose of this research is the value-added model of the supply chain of petrochemical industries with a sustainable development approach. According to its purpose, the research method is practical, qualitative-quantitative in terms of implementation, and survey in nature. The statistical population of the research includes 25 managers and experts in the petrochemical industry, and the sampling was done as available judgment, and the interviews continued until theoretical saturation was reached. The tool for gathering information is an interview. To collect and analyze data, Delphi technique was used to identify components. MATLAB software was used for data analysis. In the library analysis, 16 main components were identified and entered into the Delphi technique, and finally all were confirmed. These sixteen criteria are political factors, cultural factors, legal factors, financial factors, individual factors, management factors, information sources, implementation, review, feedback analysis, performance evaluation factors, risk concepts, identification of environmental issues, identification of health issues, learning Issues of safety and added value in the supply chain of petrochemical industries with a sustainable development approach. Based on interpretive structural technique, these components were leveled. And they formed a model in 7 levels. The proposed model leads to the improvement of the economic and commercial performance of companies due to optimization of processes, reduction of wastage, improvement of product quality and reduction of costs. Considering the variety of issues such as safety, health, environment and social standards, this value-added model of the supply chain helps to realize sustainability and continuity.

Efficient portfolio management of research and development projects is paramount for steering innovation and sustainability within the healthcare sector. Nonetheless, despite its significance, there exists a research gap in examining the dimensions and components influencing the portfolio management of sustainable research and development projects in healthcare services. The present study aims to bridge this gap by identifying and analyzing the key dimensions and components affecting the portfolio management of sustainable healthcare research and development projects. Employing a qualitative approach, data collection was conducted using Sandelowski and Barso's metacomposite method, involving a systematic review of 32 relevant articles from a pool of 328 primary sources. Rigorous validation procedures, including criteria-based assessment, team meetings, expert input, and theoretical consensus auditing, confirmed the validity and reliability of the research. The findings delineated 36 components across 7 main dimensions, encompassing environmental impact assessment, resource optimization, economic sustainability, social responsibility, stakeholder engagement, regulatory compliance, and long-term impact assessment. The insights garnered from this research offer valuable guidance for policymakers, healthcare practitioners, researchers, and stakeholders involved in planning and executing sustainable research and development projects. Leveraging this knowledge stands to enhance resource allocation efficiency, foster collaboration, and ultimately drive forward innovation and sustainability in the healthcare domain.

With the advent of new technologies, the fourth industrial revolution has caused change and transformation in the manufacturing and service industries of leading countries.

This study seeks to provide an appropriate model for achieving sustainable development, as well as identifying the factors affecting sustainable development with the approach of the Fourth Industrial Revolution.

In this study, we tried to identify and categorize the obstacles to sustainable development as well as the opportunities of the Industrial Revolution 4.0 in order to create sustainable development by examining the literature and the opinion of experts during the Delphi technique. Then, the interpretive structural modeling approach was used to level and determine the relationships between stability barriers. In the next step, the opportunities of the Industrial Revolution 4.0 were ranked by the fuzzy AHP method.

In the proposed model of this study, barriers to sustainability in five dimensions of economic, social, environmental, technical and political and opportunities of the fourth industrial revolution in five dimensions of technology and information, environmental, managerial and economic, social and organizational and supply chain management were extracted.

The results of this study showed that political, technical and economic barriers have the greatest impact on sustainability and sustainable development in industry, respectivelyand environmental and social dimensions have the greatest impact on political and technical barriers, respectively. Alsoamong the opportunities of the Industrial Revolution 4.0the information and technological opportunities of the Industrial Revolution 4.0 have the highest rank and the supply chain management has the lowest rank.

The extent of the positive effects of tourism on societies depends on the persistence of tourists. The longer the length of stay of tourists in a tourist destination, the higher the hotel occupancy rate and the amount of tourists' spending in the tourist destination, and thus the tourist destination will benefit more from the benefits of tourists. The persistence of tourists, and in particular long-term stay, has become an important variable for all tourist destinations due to its positive relationship with the total income from tourism activities. Therefore, identifying and being aware of the length of stay of tourists and the factors affecting their persistence are considered an essential element for tourism planning and management and the formulation of tourism marketing policies.

In this study, the grounded theory approach was used. In order to collect data with 17 experts and experts in the tourism sector, in-depth interviews were conducted. The sample size was determined to reach the theoretical saturation point. All individuals in the study sample were selected with a purposeful approach and using the snowball method. Data coding and analysis were carried out in three stages using Max QDA software.

The findings showed that causal conditions (including 2 main categories, 8 subcategories and 36 concepts), contextual conditions (including 3 main categories, 5 subcategories and 19 concepts), intervening conditions (including 2 main categories, 5 subcategories and 14 concepts), strategies (including 2 main categories, 5 subcategories and 15 concepts) and consequences (3 main categories, 6 subcategories and 24 concepts) were introduced.

The results of this study, in line with the grounded theory, indicated that causal factors included 2 main categories (local factors, the status of the Ministry of Cultural Heritage, Tourism and Handicrafts), background conditions included 3 main categories (macroenvironmental conditions of policymaking, programs, systemic approach), intervening factors included 2 main categories (laws and regulations, formulation of macro policies in the field of tourism), strategies had 2 main categories (strengthening and improving infrastructure, positioning Iran as a tourism destination), and consequences included 3 main categories (cultural, economic and social consequences).