درخت حوزه‌های تخصصی

This study on Indians in the Baharestan neighbourhood of Tehran investigates the nature of their social integration, and the factors which affect it. By considering integration as a two-way process, this research aims to contribute to the literature on integration, through the discovery of the status of foreign immigrants in a developing country with particular cultural, social, and religious regulations and norms. Based on semi-structured interviews with Iranian and Indian residents in the Baharestan neighbourhood, the study shows that these two groups live in Baharestan without tension. Using the theory of integration proposed by Bakker et al. (2014) as a “two-way” process, we argue in this study that the approaches taken by the two groups of Iranian and Indian residents have largely led to their social integration. The Indian minorities have preserved their own culture and adopted part of the host culture in order to respect the host community; likewise, the host community has accepted immigrant groups with an understanding of cultural differences, and this mutual respect has led to neighbourhood harmony. However, despite the willingness of both groups to expand their social interaction, this is difficult due to restrictions imposed on minorities, and insufficient public space.

The aim of the current research is to identify the futures of marketing in the banking industry with a focus on blockchain technology. The current research is applied in terms of direction and has a mixed methodology due to the use of qualitative and quantitative methods together. The theoretical population of the research was experts in banking marketing and digital financial technologies, especially blockchain, and the sampling method was done in a judgmental method. The sample size in this study was equal to 15 people. For data analysis, meta synthesis methods, Binominal's statistical test, developed Copras and root definitions tool were used. The tools of data collection in this research were interviews and questionnaires (expert evaluation and priority evaluation questionnaires). 47 drivers were extracted from meta synthesis and these drivers were classified into nine main drivers. The drivers of the research were screened in two stages using theory-based inference screening and Binominal's test, and 12 drivers were considered for prioritization using the Copras technique. The remaining drivers were evaluated using the Copras technique and three criteria of importance, degree of certainty and experts' expertise. The findings showed that the drivers of marketing researchers' interest in digital financial technologies and blockchain and the development of decentralized banking had the highest priority and were selected for scenario planning. Based on these two drivers, four scenarios of crypto bank, conservative banking, pioneer banking and traditional banking were developed. The research proposals were proposed based on the important drivers and the desired scenario (crypto bank).