درخت حوزه‌های تخصصی

Background: The Internet of things (IoT) is a new technology that expanding rapidly and has led to the emergence of new services in the banking industry. Although IoT is an emerging technology in Iran, it is expected to become a paradigm in the future. IoT applications in banking have helped to provide high quality and fast responses to customers anytime, anywhere. Purpose: This research aims to identify and prioritize IoT applications in the Iranian banking industry based on business continuity indicators. Methods: First, based on the comprehensive literature review and practical experiences, IoT applications in the banking industry are identified. Then, each indicator's weight was calculated using the Grey Decision-making trial and evaluation laboratory (DEMATEL). Finally, IoT-based applications in the Iranian banking industry have prioritized using the multi-attribute utility theory (MAUT). Due to the unstable economic conditions for the financial sector, business continuity indicators are employed in this study. Also, the reason for using MAUT is to consider the utility of banking experts for performing IoT banking services. Findings: According to results, IoT-based services in the banking industry, including Transmit instant reports, smart ATMs, non-contact electronic payments, and electronic checks, are identified for Iranian banks. Then, These appropriate services are prioritized with the capabilities of Iranian banks.

State banks must find a way to adopt a different strategy from other banks in providing customer service. An important and key way to create a competitive position is to differentiate services from other competitors that create a good image of the bank and its services in the minds of customers. A topic that has been addressed in the present study is the necessity for state banks, like other companies and businesses, to follow a suitable model in order to achieve a suitable position in the banking industry. In this regard, the purpose of this study is to design a model for positioning the services of state-owned banks and its validation. The data for qualitative stage were obtained from Keshavarzi, Melli, and Maskan branches' managers of Khorasan Razavi province and university professors in the field of management. The quantitative sample were also the customers of aforementioned banks, that due to their large number, 384 people from each bank were selected as a sample size by simple random method and Cochran's formula. In order to collect data in the qualitative part, Deleted part, the interview was used and in the quantitative part, a researcher-made questionnaire was used, which obtained validity with expert opinions and reliability with Cronbach's alpha of 0.77. In order to analyze the data in the qualitative part, grounded theory and the method of Strauss and Corbin and Maxquda software were used, and in the quantitative part, the structural equation technique and PLS2 software were used. The results showed that the model presented in 6 dimensions of causal factors,contextual, intervening, pivotal, strategies an consequences has a good fit.