Digital Coaching System for Real Options Analysis with Multi-expert and Machine Learning Support

Jani Kinnunen, Mikael Collan, Irina Georgescu*, Zahra Hosseini

*Korresponderande författare för detta arbete

    Forskningsoutput: Kapitel i bok/konferenshandlingKonferensbidragVetenskapligPeer review

    3 Citeringar (Scopus)

    Sammanfattning

    Digitalization and artificial intelligence are growing in importance as parts of decision-support tools in various application domains. One of the important developments in this vein has been the creation of interactive tools for coaching users of complex decision-support systems to help them successfully and correctly use the said systems. This paper focuses on digital coaching in the context of strategic investment analysis, specifically connected to fuzzy real options analysis (ROA). We present some important and difficult choices connected to ROA and discuss how digital coaching may assist users in better using ROA tools. We illustrate the real-world use of digital coaching in the contexts of cash-flow evaluation with machine learning support and aggregation of cash-flows from multiple experts. The discussion and the cases illustrate well how digital coaching can make a difference, especially for an inexperienced user, in guiding users to use complex tools correctly and in creating better circumstances for credible analyses. The findings presented are new and contribute specifically to the literature on digital coaching and real options analysis.

    OriginalspråkEngelska
    Titel på värdpublikationHCI International 2021 - Late Breaking Papers
    Undertitel på värdpublikationMultimodality, eXtended Reality, and Artificial Intelligence
    RedaktörerConstantine Stephanidis, Masaaki Kurosu, Jessie Y.C. Chen, Gino Fragomeni, Norbert Streitz, Shin’ichi Konomi, Helmut Degen, Stavroula Ntoa
    FörlagSpringer Science and Business Media Deutschland GmbH
    Sidor455-473
    Antal sidor19
    ISBN (tryckt)9783030909628
    DOI
    StatusPublicerad - 2021
    MoE-publikationstypA4 Artikel i en konferenspublikation
    Evenemang23rd International Conference on Human-Computer Interaction, HCII 2021 - Virtual, Online
    Varaktighet: 24 juli 202129 juli 2021

    Publikationsserier

    NamnLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volym13095 LNCS
    ISSN (tryckt)0302-9743
    ISSN (elektroniskt)1611-3349

    Konferens

    Konferens23rd International Conference on Human-Computer Interaction, HCII 2021
    OrtVirtual, Online
    Period24/07/2129/07/21

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