An approach in sociology and development

Abstract Objective: The aim of the present study was to identify and classify the factors of social integration based on reducing risky behaviors of young men who have recovered from addiction. Method: The method of the present study was a descriptive survey of correlation type. The study sample consisted of 384 young men aged 20 to 30 who had recovered from addiction and who had referred to the Harm Reduction Treatment and Rehabilitation Center in Tehran. They were selected using a multi-stage cluster random sampling method. To analyze the factors of social integration based on reducing risky behaviors of young men who have recovered from addiction and classify each of the obtained factors, the ISM interpretive structural model was used. Also, to examine the relationships between variables, identify and classify the factors, confirmatory factor analysis, a modeling technique using Smart PLS3 software, was used. Findings: The results of data analysis show that 15 categories were identified. The identified categories include family support, social acceptance, economic empowerment, access to psychological services, physical health support, life skills training, participation in cultural and social activities, support and participation of non-governmental organizations, sustainable housing facilities, vocational and technical training, creating a sense of identity and personal value, government support programs, rehabilitation and reintegration facilities, support and self-help groups, regular monitoring and follow-up. Conclusion: Social integration is one of the most important programs through which it is possible to control the situation, provide emotional and instrumental support to young boys who have recovered from addiction, and as a result, reduce social harm and risky behaviors.

Abstract Objective: The objective of the present study was to analyze and formulate sustainable rural tourism development planning patterns in Khabar village. Method: This study is applied-developmental in terms of its objective and descriptive-analytical in terms of its method. The statistical population of the study included all villagers of the Khabar tourism village in Baft county, numbering (756), of which 255 were selected as the sample size based on the stratified random sampling method and according to the Cochran formula. In order to collect data, a sustainable rural tourism development planning questionnaire was used. The validity and reliability of the questionnaire were measured as 0.93 and 0.90, respectively. To identify strengths, weaknesses, opportunities and threats, both external factor evaluation (EFE) and internal factor evaluation (IFE) matrices were used, and to identify sustainable rural tourism development planning patterns, a strategic planning model, the SWOT matrix, was used. Findings: The results indicate that considering the fact that the vulnerability level of villages is very high due to tourism development, planning and management in tourism is essential, considering the limited opportunities and high weaknesses. Conclusion: The tourism industry is one of the important sources of production, income, employment, and infrastructure creation for achieving sustainable development.

Abstract In addition to the advantages of social networks, excessive and addictive use of these new media can create negative consequences, intergenerational challenges, and in general, many social abnormalities and harms in people's lives. However, according to statistics, unconventional and anti-social use of social networks is one of the most widely used and attractive choices among Iranian youth. This article, using a qualitative method and meta-analysis technique, has evaluated and recognized a set of research related to this field, and after categorizing and criticizing their approach, has presented a proposed theoretical framework for analyzing this phenomenon. The researchers' basic claim is that a correct understanding of the problem requires the use of a combined theory. Thus, both categories of characteristics of virtual networks (supply side) and local-national cultural and structural characteristics (demand base) interact with each other to determine how agents make specific choices in virtual networks. Theoretical analysis of previous research shows that in our society, the unconventional and excessive use of these networks is becoming a threat, a threat that, if not identified, will lead to future crises. However, identifying these threats can be considered an effective step towards reducing or eliminating them.

Abstract Over the past decade, the emergence of disruptive technologies—particularly artificial intelligence (AI)—has profoundly transformed labor patterns and social structures in Iran. This qualitative study employs a grounded theory approach to comprehensively examine the multifaceted implications of AI on the labor market and related social frameworks. Data were gathered through semi-structured interviews with technology experts, human resource managers, and various workers, followed by rigorous multi-stage coding and thematic analysis. The findings reveal that AI has significantly enhanced overall productivity and facilitated the creation of new knowledge-based and technology-driven occupations. However, this technological advancement has simultaneously led to the displacement of repetitive and traditional jobs, which has intensified skill gaps among different workforce segments. Additionally, AI has instigated fundamental shifts in workplace dynamics, employment relationships, and organizational hierarchies. Alongside the opportunities presented, notable challenges have arisen, including widening social inequality, increasing feelings of job alienation, and threats to digital justice and equity. The study underscores the need for policymakers to invest in advanced skill development and provide targeted support for vulnerable groups to ensure a more inclusive and equitable transition toward the future of work.

Abstract Objective: The aim of the present study was to investigate the causes, contexts and consequences of the tendency towards white marriage with a sociological approach in the city of Shiraz. Method: The present qualitative research method was based on the grounded theory method. The research population included all young people in Shiraz (men and women) who were in this relationship and had chosen this lifestyle as roommates. Based on snowball sampling and using the data saturation technique, 19 people were selected. Data collection was carried out using a semi-structured in-depth interview method and data analysis was carried out using the grounded theory method. Findings: The results showed that 67 codes were identified out of 383 concepts, of which the initial 67 codes were obtained in the form of 9 categories including economic status of individuals, reducing the exorbitant costs of permanent marriage, individual worldview, family rejection, modernity, facilitating relationships between girls and boys, transformation of traditional values into universal values, being single, distrustful, and irresponsible. Conclusion: Young people are considered as human capital of society, and given the rapid changes and developments in society, the need to research and understand their situation is of great importance.

Abstract The aim of the present study was to identify and prioritize the factors influencing the migration of rural middle-class populations to urban areas in Goleijan Village, located in the Central District of Tonekabon.
Method: This research employed a descriptive-survey design of the correlational type. The statistical sample consisted of 366 residents aged 20–50 from this rural area, selected through multistage sampling. Data were collected using a questionnaire. The factors affecting the migration of rural middle-class groups to the city were categorized into four main themes: sociocultural factors, economic factors, administrative and service-related factors, and natural and environmental factors. The fuzzy AHP method was used to rank the factors, and Expert Choice software was applied for data analysis and prioritization of factors and indicators.
Findings: The results indicate a significant relationship between migration and the following variables: achievement motivations in the city, interactions with relatives and acquaintances, the influence of social networks, job shortages, low income, lack of investment and entrepreneurial opportunities, inadequate educational facilities, insufficient healthcare and medical services, poor recreational and leisure services, unsuitable cold and dry climate, and shortages