Some Approaches to Addressing Uncertainty on Digital Platforms
DOI:
https://doi.org/10.15407/intechsys.2025.05.003Keywords:
digital platforms, platform business model, uncertainty, ecosystem, modular architecture, boundary resources, combinatorial optimizationAbstract
Introduction. In the modern world, digital platforms (DPs) are the basis for interaction and offer and provide services or products to meet needs and receive value from users. The dispersal of ecosystem participants and the blurring of the boundaries between different products, markets, and industries provoke the problem of uncertainty in the process of design and operation of the DPs. The situation of uncertainty is of a different nature. It is due to objective reasons that are laid down in the very nature of the tasks and subjective reasons, which the developer introduces, that is, it arises from the various natural properties of a certain problem, as well as the risk situation.
The purpose of the paper is to investigate the situation of uncertainty, which occurs when creating and exploiting the DPs, and which arises under different circumstances. It is necessary to identify the causes of the situation of uncertainty and find ways to solve it effectively.
Results. We establish the situation of uncertainty by analyzing the activities of the members of the ecosystem of the DP. We distinguish the one that arises from objective reasons and the nature related to the nature of the problem, and the subjective, which are introduced at the stages of creation and operation of the DP, and risk situations. There are problems that relate to the theory of mass service and game theory. These problems are modeled within the framework of combinatorial optimization theory.
Conclusions. The uncertainty in the process of activity of participants in the DP ecosystem arises due to incomplete input and current information, which is related to the fuzzy processing and evaluation rules of information. There is a special type of uncertainty that is associated with the risk situation. Modeling some of these tasks within the theory of combinatorial optimization shows that this situation arises as a result of the special structure of the combinatorial optimization argument. The solution to this situation related to incomplete input and current information is carried out by analyzing the behavior of the system over a period of time. On the basis of this analysis, they establish a certain pattern, which is taken into account when predicting future results for the current period.
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