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Contribution Details

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
  • Dzmitry Katsiuba
  • Tannon Kew
  • Mateusz Dolata
  • Matej Gurica
  • Gerhard Schwabe
Presentation Type paper
Item Subtype Original Work
Refereed No
Status Published in final form
Language
  • English
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
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Keywords Electronic Word-of-Mouth, Online feedback management, Managerial response, Artificial intelligence, Generative AI