Improving Customer Feedback Management with GenAI - An Action Design Research Study

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Authors: Dzmitry Katsiuba, Gerhard Schwabe, Mateusz Dolata, Kevin Crowston
Cited by: 1

Abstract

In this longitudinal action design research study, researchers accompanied a small service provider in the hospitality sector navigating AI-driven transformation. Over five distinct phases, the company progressively integrated AI tools – from sentiment analysis to generative language models – into its core processes, reshaping workflows and its business model. Drawing on the framework of dynamic capabilities, the study illustrates how the organization’s abilities to transform its business model enabled it to apply new technology while maintaining service quality. The paper abstracts the insights into five design principles for implementing GenAI in customer feedback management, emphasizing hybrid human-AI collaboration, robust quality control, and modular service structures.

Fields of Study & Subjects

Organizational Leadership and Management Strategies Persona Design and Applications Big Data and Business Intelligence

Publication details

Journal / source
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences
Publisher
Hawaii International Conference on System Sciences
Publication date
1 January 2026
Language
EN