Please use this identifier to cite or link to this item: https://repository.iimb.ac.in/handle/2074/22346
DC FieldValueLanguage
dc.contributor.authorDutta, Debolina
dc.contributor.authorMishra, Sushanta Kumar
dc.contributor.authorTyagi, Divya
dc.date.accessioned2024-02-20T05:55:42Z-
dc.date.available2024-02-20T05:55:42Z-
dc.date.issued2023
dc.identifier.issn0958-5192
dc.identifier.issn1466-4399
dc.identifier.urihttps://repository.iimb.ac.in/handle/2074/22346-
dc.description.abstractEmployee engagement is critical for the sustenance of organizations. Scholars have highlighted that the employer-employee interaction is an essential mechanism that enhances employee engagement. The communicative and interactional features of AI applications in HRM allow for a personalized and individualized approach to employees. The proliferation of AI-based solutions is increasing in various dimensions of HR business processes, leading to enhanced employee experiences and job satisfaction. However, this research domain is exploratory concerning the impact of AI-mediation HRM practices. Based on a multi-source, time-lagged study spanning over ten months in a multinational company, we have investigated the impact of AI-enabled chatbots on employee engagement in the present study. We have also examined climate for trust as the path through which chatbots impact engagement. Moreover, we have analyzed the implications of AI-enabled chatbots on employee outcomes based on their age and past performance. The contributions of the study to theory and practice have also been discussed.
dc.publisherTaylor and Francis
dc.subjectAI-enabled chatbots
dc.subjectEmployee engagement
dc.subjectClimate for trust
dc.subjectAge
dc.subjectPast performance
dc.titleAugmented employee voice and employee engagement using artificial intelligence-enabled chatbots: a field study
dc.typeJournal Article
dc.identifier.doi10.1080/09585192.2022.2085525
dc.pages2451-2480p.
dc.vol.noVol.34
dc.issue.noIss.12
dc.journal.nameInternational Journal of Human Resource Management
Appears in Collections:2020-2029 C
Show simple item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.