جستجوی مقالات مرتبط با کلیدواژه « smart contract » در نشریات گروه « کتابداری و مدیریت اطلاعات »

The aim of this study is to identify and prioritize the key factors of success in implementing smart contracts in the insurance industry. The research methodology of this study is descriptive, exploratory, and survey the content of written documents. After identifying key factors based on the study of research literature and interviews conducted by managers and experts in insurance affairs in the area related to the issue were used to evaluate the importance of each factor in field study and questionnaire distribution. Correlation analysis of identified factors and network structure modification was carried out based on fuzzy Dematel approach and ranking the success factors of smart contracts based on blockchain was done using the ANP method approach. With regard to the evaluation of the acceptable form in the first step of screening, the number of 29 identified factors were confirmed. Then using ANP method and evaluation, it was shown that superior management and superior management support with 0.269 weight were ranked first, excellent management support with 0.168 weight and openness were ranked third by operational managers and organizational integration with 0.126 weight.

Service level agreement is an obligation between the service provider and the customer in which specific aspects of service, quality, availability and responsibilities are agreed between the service provider and the service user. A smart contract is a computer transaction protocol that enforces the terms of a contract. The purpose of this study is to design a model of blockchain-based agreed service level intelligence using data foundation theory. This research was conducted based on the data theory of the Cholera Foundation with a qualitative-quantitative approach. The method of data collection in the qualitative section is in-depth interview and the interview texts were analyzed in three stages of open, axial and selective coding. Atlas software was used to analyze the data. The sampling method is snowball. 13 interviews were conducted with experts in the field of information and communication saturation technology. In the quantitative part of the statistical population, knowledge-based companies active in the field of information and communication technology were determined and based on the structural equation model method, a sample size of 160 people was selected. For quantitative validation of the model, structural equation modeling method was used. In the qualitative section, determining causal, context, strategy, intervention and consequences of designing the service level agreement model was performed and in the quantitative part, the effect of causal conditions on the main phenomenon was 0.618, the effect of the main phenomenon on the strategy was equal to 0.589 0. The effect of underlying conditions on strategy was 0.543, the effect of interventional conditions on strategy was equal to 0.413 and the effect of strategy on outcome was calculated equal to 0.676. In the qualitative part, the resulting research was based on the design of a new model of service level agreement based on data theory and in the quantitative part, the standard coefficient of the components of the model was confirmed.