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dc.contributor.authorFerdous, Sumnoon
dc.contributor.authorNahin, Farjana Afrin
dc.contributor.authorIslam, Mohammed Sohel
dc.date.accessioned2026-08-12T13:45:14Z
dc.date.available2026-08-12T13:45:14Z
dc.date.issued2025-11
dc.identifier.isbn978-984-35-5270-9
dc.identifier.otherICEBTM-25-1266
dc.identifier.urihttps://icebtm.iub.edu.bd
dc.identifier.urihttps://ar.iub.edu.bd/handle/11348/1518
dc.description.abstractArtificial customer loyalty can be made or broken through service recovery in the era of easy digital experiences. Although AI (Artificial Intelligence) chatbots provide fast and 24/7 services, little is known about their emotional performance in cases of service breakdown. This research expands the Omnichannel Integration Services (OIS) model by incorporating chatbot communication style and trust. The study extends the OIS concept by including AI-driven chatbots as service recovery tools to improve customer satisfaction and experience. It investigates the impact of chatbot communication patterns, utilizing cognition- and affect-based trust as key factors. The study evaluates the combined impact of online and offline experiences on recovery satisfaction and net benefits, including perceived value and customer retention, providing a trust-oriented enhancement of the OIS model.en_US
dc.format.extentpp. 690-693
dc.language.isoenen_US
dc.publisherSchool of Business and Entrepreneurship, Independent University, Bangladesh (IUB)en_US
dc.sourceThe Proceedings of the International Conference on Economics, Business and Technology Management (ICEBTM 2025)
dc.subjectArtificial Intelligence (AI)en_US
dc.subjectOmnichannel Integration Services (OIS)en_US
dc.subjectChatboten_US
dc.subjectCustomer service recovery satisfactionen_US
dc.subjectSustainabilityen_US
dc.titleThe AI-powered Chatbots in Omnichannel integration services (OIS) model: enhancing recovery satisfaction and sustainabilityen_US
dc.typeConference paperen_US
dc.identifier.doihttps://doi.org/10.67508/iub.icebtm.2025.109


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