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dc.contributor.authorNishant, R
dc.contributor.authorNguyen, TK
dc.contributor.authorTeo, TSH
dc.contributor.authorHsu, P-F
dc.date.accessioned2023-07-31T10:00:30Z
dc.date.issued2023-08-31
dc.date.updated2023-07-29T07:16:28Z
dc.description.abstractHow do shareholders respond to technologies hyped in general discourse, e.g. artificial intelligence (AI), if a common understanding is lacking and the technologies are still evolving? Do they respond primarily to substantive signals in technology announcements, such as AI capabilities, or do rhetorical signals also play a significant role? Adopting signalling theory as a theoretical lens, we conceptualise announcements of AI capabilities as substantive signals and linguistic elements in the announcements pertaining to organisational time horizon and risk- reward considerations as rhetorical signals. Departing from the typical focus on bijective relationships, we consider holistic, complex configurations of interdependent factors using the qualitative comparative analysis (QCA) methodology. Notably, announcements pertaining to AI capabilities are not necessarily associated with positive market reactions; in fact, when all three types of AI are included in announcements without explicit consideration of risks, shareholders react negatively. We find that shareholder response is based on joint evaluation of substantive and rhetorical signals, and that these signals interact in a complex way to produce positive and negative market reactions. These findings motivate several propositions for market reactions to IT announcements, providing implications for both theory and practice.en_GB
dc.description.sponsorshipNUS Business School
dc.description.sponsorshipSingapore Ministry of Education
dc.description.sponsorshipUniversite Laval
dc.identifier.citationPublished online 31 August 2023en_GB
dc.identifier.doi10.1080/0960085X.2023.2243892
dc.identifier.grantnumberN-311-000-251-001
dc.identifier.grantnumberR-314-000-117-115
dc.identifier.urihttp://hdl.handle.net/10871/133674
dc.identifierORCID: 0000-0003-1248-9555 (Nguyen, Tuan Kellan)
dc.language.isoenen_GB
dc.publisherTaylor & Francis / OR Societyen_GB
dc.rights.embargoreasonUnder embargo until 31 August 2024 in compliance with publisher policyen_GB
dc.rights© The Operational Research Society 2023. This version is made available under the CC-BY-NC 4.0 license: https://creativecommons.org/licenses/by-nc/4.0/  en_GB
dc.subjectArtificial Intelligenceen_GB
dc.subjectShareholderen_GB
dc.subjectCognitive insighten_GB
dc.subjectCognitive engagementen_GB
dc.subjectAutomationen_GB
dc.subjectQCAen_GB
dc.subjectConfigurationalen_GB
dc.subjectartificial intelligence (AI) capabilityen_GB
dc.subjectshareholder responseen_GB
dc.subjectsubstantive signalen_GB
dc.subjectrhetorical signalen_GB
dc.subjectIT announcementen_GB
dc.subjectorganisational time horizonsen_GB
dc.subjectcrisp-set qualitative comparative analysis (csQCA)en_GB
dc.titleRole of substantive and rhetorical signals in the market reaction to announcements on AI adoption: A configurational studyen_GB
dc.typeArticleen_GB
dc.date.available2023-07-31T10:00:30Z
dc.descriptionThis is the author accepted manuscript. The final version is available from Taylor & Francis via the DOI in this recorden_GB
dc.identifier.eissn1476-9344
dc.identifier.journalEuropean Journal of Information Systemsen_GB
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/  en_GB
dcterms.dateAccepted2023-07-28
dcterms.dateSubmitted2021-09-03
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2023-07-28
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-07-29T07:16:30Z
refterms.versionFCDAM
refterms.panelCen_GB


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© The Operational Research Society 2023. This version is made available under the CC-BY-NC 4.0 license: https://creativecommons.org/licenses/by-nc/4.0/  
Except where otherwise noted, this item's licence is described as © The Operational Research Society 2023. This version is made available under the CC-BY-NC 4.0 license: https://creativecommons.org/licenses/by-nc/4.0/