The acceptance of chatbots in an enterprise context – A survey study
Florian Brachten,
Tobias Kissmer and
Stefan Stieglitz
International Journal of Information Management, 2021, vol. 60, issue C
Abstract:
While Interactive systems such as Chatbots, are well known in personal environments with technologies like “Apple’s Siri” or the “Google’s Assistant”, the acceptance of said technologies in the enterprise context has hardly been examined. Literature shows that these technologies hold great potential for enterprises as they can increase productivity and are cost-efficient by automating processes. Still, to not alienate employees when introducing these systems called Enterprise Bots in this paper, it is crucial to understand how employees accept and adopt these new systems. This paper derives a research model based on the decomposed Theory of Planned Behaviour, which is tested in a survey with 198 participants. Results from a structural equation model show that intrinsic motivation of the employees has a strong positive influence on the intention to use Enterprise Bots whereas external influences showed smaller effects. The results indicate that it is important that employees are convinced of the usefulness of a tool for themselves. The paper provides theoretical insights and helps decision makers to introduce such systems.
Keywords: Enterprise bots; Technology acceptance; Theory of planned behavior; Chatbots; Digitalization; Virtual assistants; Virtual agents; Digital workplace (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (9)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0268401221000682
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ininma:v:60:y:2021:i:c:s0268401221000682
DOI: 10.1016/j.ijinfomgt.2021.102375
Access Statistics for this article
International Journal of Information Management is currently edited by Yogesh K. Dwivedi
More articles in International Journal of Information Management from Elsevier
Bibliographic data for series maintained by Catherine Liu ().