Abstract
Information systems execute increasingly complex business processes, often across organizations. Blockchain technology has emerged as a potential facilitator of (semi)-autonomous cross-organizational business process execution; in particular, so-called consortium blockchains can be considered as promising enablers in this context, as they do not require the use of cryptocurrency-based blockchain technology, as long as the trusted (authenticated) members of the network are willing to provide computing resources for consensus-finding. However, increased autonomy in the execution of business processes also requires the delegation of business decisions to machines. To support complex decision-making processes by assessing potential future outcomes, agent-based simulations can be considered a useful tool for the autonomous enterprise. In this paper, we explore the intersection of multi-agent simulations and consortium blockchain technology in the context of enterprise applications by devising architectures and technology stacks for both off-chain and on-chain agent-based simulation in the context of blockchain-based business process execution.
Highlights
Business process management (BPM) is defined as “the design, execution, monitoring, and improvement of business processes” [1]
-called consortium blockchains [2,3] can be considered as promising enablers in this context, as they do not require the use of cryptocurrency-based blockchain technology, as long as the trusted members of the network are willing to provide computing resources for consensus-finding
This paper provides use case scenarios, architectures and technology stacks for agent-based simulations as facilitators of cross-organizational business process execution
Summary
Business process management (BPM) is defined as “the design, execution, monitoring, and improvement of business processes” [1]. These limitations are exacerbated when the results of the ABS affect multi-party agreements (e.g., contracts) since this requires all involved actors to agree on the validity of the simulation, on how and when to take its results into account, and on how to split the losses/gains caused by these changes. To address these challenges, the second scenario type explores the integration of ABS on-chain into enterprise application landscapes.
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