Unpacking the Role of Artificial Intelligence for a Multimodal Service System Design

Inkyung Sung, Matthias Buderath, Peter Nielsen

Research output: Contribution to journalJournal articleResearchpeer-review

1 Citation (Scopus)
19 Downloads (Pure)

Abstract

Since requirements of service demands are becoming increasingly complex and diversified, one of the success factors of a multimodal service system is its capability to design a specific service instance satisfying a specific set of requirements. This capability is further highlighted in Ad Hoc Multimodal Service Systems (AHMSSs), where service instances rarely follow a standard form of service delivery and exist only for a limited time. However, due to the increasing scale and frequency of services in many business and public sectors, meeting the desired level of capability has become troublesome. A well-designed Artificial Intelligence (AI) approach can be a solution to the difficulty by addressing the underlying complexity and uncertainty of the AHMSS design process. To conceptualize and foster AI applications to an AHMSS, this study identifies key decision-making problems in the AHMSS design process and discusses the role of AI in the process. The results will form the basis for AI development and implementation for an AHMSS and relevant service systems.

Original languageEnglish
Article number549
JournalElectronics
Volume11
Issue number4
ISSN2079-9292
DOIs
Publication statusPublished - 11 Feb 2022

Keywords

  • Ad Hoc Multimodal Service System
  • Artificial intelligence
  • Decision support system
  • Decision-making augmentation
  • Decision-making automation
  • Machine learning
  • Resource constraint project scheduling problem

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