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dc.contributor.authorSharma, S
dc.contributor.authorSingh, G
dc.contributor.authorIslam, N
dc.contributor.authorDhir, A
dc.date.accessioned2022-09-08T09:08:04Z
dc.date.issued2022-10-03
dc.date.updated2022-09-07T21:03:58Z
dc.description.abstractDevelopments in artificial intelligence (AI) have led to the emergence of new technologies offering unique business opportunities. This study examines the factors influencing AI-based chatbot implementation by small and medium enterprises (SMEs). We grounded the study's conceptual model in the technology–organisation–environment (TOE) framework. Employing a quantitative research methodology, we collected data from 292 SME respondents via an online survey. We then utilised covariance-based structural equation modelling (CB-SEM) to analyse the data. The empirical results reveal that perceived employee capability, perceived availability of financial support, perceived top management support, perceived cost, perceived complexity and perceived relative advantage are positively associated with SMEs' AI-based chatbot adoption intention. This study thus contributes to the scarce literature on the adoption of AI-based chatbots for SMEs in developing small island countries. The findings provide meaningful insights to developers, marketers and SMEs to enhance firms’ performance and competitiveness by increasing the adoption of AI-based chatbots.en_GB
dc.identifier.citationPublished online 3 October 2022en_GB
dc.identifier.doi10.1109/TEM.2022.3203469
dc.identifier.urihttp://hdl.handle.net/10871/130742
dc.identifierORCID: 0000-0003-0515-1134 (Islam, Nazrul)
dc.language.isoenen_GB
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_GB
dc.rights© 2022 IEEE
dc.subjectArtificial intelligenceen_GB
dc.subjectChatbotsen_GB
dc.subjectSMEsen_GB
dc.subjectTOE frameworken_GB
dc.subjectCovariance-based structural equation modellingen_GB
dc.titleWhy do SMEs adopt Artificial Intelligence (AI)-based chatbots?en_GB
dc.typeArticleen_GB
dc.date.available2022-09-08T09:08:04Z
dc.identifier.issn1558-0040
dc.descriptionThis is the author accepted manuscript. The final version is available from IEEE via the DOI in this recorden_GB
dc.identifier.journalIEEE Transactions on Engineering Managementen_GB
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
dcterms.dateAccepted2022-08-09
dcterms.dateSubmitted2021-05-04
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2022-08-09
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2022-09-07T21:04:01Z
refterms.versionFCDAM
refterms.dateFOA2022-10-06T13:06:11Z
refterms.panelCen_GB


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