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dc.contributor.authorPillai, R.
dc.contributor.authorSivathanu, B.
dc.contributor.authorMariani, M.
dc.contributor.authorRana, Nripendra P.
dc.contributor.authorYang, B.
dc.contributor.authorDwivedi, Y.K.
dc.date.accessioned2020-10-08T16:41:45Z
dc.date.accessioned2020-10-27T07:50:50Z
dc.date.available2020-10-08T16:41:45Z
dc.date.available2020-10-27T07:50:50Z
dc.date.issued2021
dc.identifier.citationPillai R, Sivathanu B, Mariani M et al (2021) Adoption of AI-powered Industrial Robots in Auto Component Manufacturing Companies. Production Planning and Control. Accepted for publication.en_US
dc.identifier.urihttp://hdl.handle.net/10454/18138
dc.descriptionYesen_US
dc.description.abstractThe usage of AI-empowered Industrial Robots (InRos) is booming in the Auto Component Manufacturing Companies (ACMCs) across the globe. Based on a model leveraging the Technology, Organisation, and Environment (TOE) framework, this work examines the adoption of InRos in ACMCs in the context of an emerging economy. This research scrutinizes the adoption intention and potential use of InRos in ACMCs through a survey of 460 senior managers and owners of ACMCs in India. The findings indicate that perceived compatibility, external pressure, perceived benefits and support from vendors are critical predictors of InRos adoption intention. Interestingly, the study also reveals that IT infrastructure and government support do not influence InRos adoption intention. Furthermore, the analysis suggests that perceived cost issues negatively moderate the relationship between the adoption intention and potential use of InRos in ACMCs. This study offers a theoretical contribution as it deploys the traditional TOE framework and discovers counter-intuitively that IT resources are not a major driver of technology adoption: as such, it suggests that a more comprehensive framework than the traditional RBV should be adopted. The work provides managerial recommendations for managers, shedding light on the antecedents of adoption intention and potential use of InRos at ACMCs in a country where the adoption of InRos is in a nascent stage.en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttps://doi.org/10.1080/09537287.2021.1882689
dc.rights© 2021 Taylor & Francis. The Version of Record of this manuscript has been published and is available in Production Planning and Control <date of publication> https://doi.org/10.1080/09537287.2021.1882689.en_US
dc.subjectIndustrial robotsen_US
dc.subjectAuto component manufacturingen_US
dc.subjectPotential useen_US
dc.subjectTOEen_US
dc.titleAdoption of AI-powered Industrial Robots in Auto Component Manufacturing Companiesen_US
dc.status.refereedYesen_US
dc.date.Accepted2020-10-08
dc.date.application2021-02-18
dc.typeArticleen_US
dc.date.EndofEmbargo2022-02-18
dc.type.versionAccepted manuscripten_US
dc.description.publicnotesThe full-text of this article will be released for public view at the end of the publisher embargo on 18 Feb 2022.
dc.date.updated2020-10-08T15:41:57Z
refterms.dateFOA2020-10-27T07:51:57Z


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