چکیده مقاله
One of the main obstacles to the adoption of blockchain is the cost of its adoption The application of this technology in an organization requires the costs of development, design, maintenance, hardware, software and energy consumption according to its adoption rate In this study, the system dynamics SDs and machine learning ML methods have been used to predict final cost of blockchain implementation Compared to mathematical programming, simulation techniques in the estimating the costs are scarce, although SD modeling is suitable to account for the complexity and dynamic of systems and support long term, strategic decision making To better understand the system behavior, it is necessary to formulate the relationships between the variables and simulate the values of the variables over time The relationships between these variables are analyzed using the qualitative SD modeling method with stakeholders through questionnaires and 15 interviews Thus, it provides a reasonable basis for estimating the cost of blockchain implementation After identifying the variables, their effect on each other and the implementation cost are investigated Since the diagrams obtained from the SD give us the behavior of state and flow variables for time, linear regression applying cross validation, as one of the ML methods is used to get a graph showing the system's state as a rate function Thus, this research provides a reasonable basis for estimating the cost function of blockchain implementation The results of this research can be of great help to decision makers in the development and application of blockchain technology in organizations
کلیدواژهها
نویسندگان
شیوه ارجاع
Modares, Azam and Motahari Farimani, Nasser and Abdari, Kimia,1402,Evaluating implementation cost of blockchain through system dynamics,3rd Conference on Systemic Thinking in Action,Mashhad
ارائهشده در
مجموعه مقالات سومین کنفرانس بین المللی تفکر سیستمی در عمل24 آبان 1402 · مشهد