Artikel
AI-based chatbots in customer service and their effects on user compliance
Communicating with customers through live chat interfaces has become an increasingly popular means to provide real-time customer service in many e-commerce settings. Today, human chat service agents are frequently replaced by conversational software agents or chatbots, which are systems designed to communicate with human users by means of natural language often based on artificial intelligence (AI). Though cost- and time-saving opportunities triggered a widespread implementation of AI-based chatbots, they still frequently fail to meet customer expectations, potentially resulting in users being less inclined to comply with requests made by the chatbot. Drawing on social response and commitment-consistency theory, we empirically examine through a randomized online experiment how verbal anthropomorphic design cues and the foot-in-the-door technique affect user request compliance. Our results demonstrate that both anthropomorphism as well as the need to stay consistent significantly increase the likelihood that users comply with a chatbot’s request for service feedback. Moreover, the results show that social presence mediates the effect of anthropomorphic design cues on user compliance.
- Sprache
-
Englisch
- Erschienen in
-
Journal: Electronic Markets ; ISSN: 1422-8890 ; Volume: 31 ; Year: 2020 ; Issue: 2 ; Pages: 427-445 ; Berlin, Heidelberg: Springer
- Klassifikation
-
Ingenieurwissenschaften und Maschinenbau
Design of Experiments: Laboratory, Individual
Micro-Based Behavioral Economics: Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making‡
Marketing
Information and Internet Services; Computer Software
- Thema
-
Artificial intelligence
Chatbot
Anthropomorphism
Social presence
Compliance
Customer service
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Adam, Martin
Wessel, Michael
Benlian, Alexander
- Ereignis
-
Veröffentlichung
- (wer)
-
Springer
- (wo)
-
Berlin, Heidelberg
- (wann)
-
2020
- DOI
-
doi:10.1007/s12525-020-00414-7
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Artikel
Beteiligte
- Adam, Martin
- Wessel, Michael
- Benlian, Alexander
- Springer
Entstanden
- 2020
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