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Type | Conference or Workshop Paper |
Scope | Discipline-based scholarship |
Published in Proceedings | Yes |
Title | Artificially Human: Examining the Potential of Text-Generating Technologies in Online Customer Feedback Management |
Organization Unit | |
Authors |
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Presentation Type | paper |
Item Subtype | Original Work |
Refereed | No |
Status | Published in final form |
Language |
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Page Range | 12 |
Event Title | International Conference on Information Systems, ICIS 2023 |
Event Type | conference |
Event Location | Hyderabad, India |
Event Start Date | December 9 - 2023 |
Event End Date | December 13 - 2023 |
Series Name | International Conference on Information Systems |
Number | 2365 |
Publisher | Association for Information Systems |
Abstract Text | Online customer feedback management plays an increasingly important role for businesses. Yet providing customers with good responses to their reviews can be challenging, especially as the number of reviews grows. This paper explores the potential of using generative AI to formulate responses to customer reviews. Using advanced NLP techniques, we generated responses to reviews in different authoring configurations. To compare the communicative effectiveness of AI-generated and human-written responses, we conducted an online experiment with 502 participants. The results show that a Large Language Model performed remarkably well in this context. By providing concrete evidence of the quality of AI-generated responses, we contribute to the growing body of knowledge in this area. Our findings may have implications for businesses seeking to improve their customer feedback management strategies, and for researchers interested in the intersection of AI and customer feedback. This opens opportunities for practical applications of NLP and for further IS research. |
Official URL | https://aisel.aisnet.org/icis2023/socmedia_digcollab/socmedia_digcollab/12/ |
Other Identification Number | merlin-id:24318 |
PDF File | Download from ZORA |
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Keywords | Electronic Word-of-Mouth, Online feedback management, Managerial response, Artificial intelligence, Generative AI |