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Users' Acceptance of Artificial Intelligence-Based Chatbots: An Empirical Study
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Author(s): Mahendar Goli (School of Management, Anurag University, India), Anoop Kumar Sahu (Department of Mechanical Engineering, School of Studies in Engineering and Technology, Guru Ghasidas Vishwavidyalaya, India), Surajit Bag (Department of Transport and Supply Chain Management, University of Johannesburg, South Africa)and Pavitra Dhamija (LM Thapar School of Management, Thapar Institute of Engineering and Technology, Patiala (Punjab), India)
Copyright: 2023
Volume: 19
Issue: 1
Pages: 18
Source title:
International Journal of Technology and Human Interaction (IJTHI)
Editor(s)-in-Chief: Anabela Mesquita (ISCAP/IPP and Algoritmi Centre, University of Minho, Portugal)and Chia-Wen Tsai (Ming Chuan University, Taiwan)
DOI: 10.4018/IJTHI.318481
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Abstract
This research examines the effects of factors such as perceived ease of use, perceived usefulness, perceived enjoyment, innovativeness, perceived information quality, and perceived customisation on behavioural intention to use Chatbots. The research model designed is empirically validated using structural equation modelling with the aid of AMOS software. A five-point Likert scale-based structured questionnaire was used to collect data from 378 Chatbot users in an online method. The results indicated that the perceived ease of use, perceived usefulness, innovativeness, perceived information quality, and perceived customisation have positive effects on intention to use Chatbots, whereas perceived enjoyment is found to exert no effect. The research further discussed implications and future directions of research.
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