Generative AI adoption and employee empowerment in tourism: ChatGPT use for text-based customer communication and its effects on workplace power dynamics

Authors

  • Mihiri Wickramasinghe Department of Information Systems, Faculty of Management Studies, Rajarata University of Sri Lanka Author https://orcid.org/0009-0004-3445-4665
  • Edina Wiligas Biyiri Department of Tourism and Hospitality Management, Faculty of Management Studies, Rajarata University of Sri Lanka Author https://orcid.org/0000-0001-7079-764X

DOI:

https://doi.org/10.56879/ijbm.v5i1.30

Keywords:

Generative AI, ChatGPT Adoption, Employee Empowerment, Psychological Empowerment, Power Dynamics, Text-Based Communication, Tourism and Hospitality, Technology Acceptance Model, Theory of Planned Behavior, Sri Lanka

Abstract

This study investigates tourism and hospitality employees' behavioral intentions to adopt ChatGPT for text-based customer communication and examines how generative AI use shapes psychological empowerment and internal power dynamics within service teams. Drawing on a mixed-methods design that integrates survey data from 322 employees in Sri Lanka's tourism sector with qualitative thematic analysis, the study applies an integrated framework combining the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB). PLS-SEM results indicate that perceived usefulness and perceived ease of use positively influence employee attitude toward ChatGPT, while attitude, subjective norm, and perceived behavioral control together account for 64.3% of the variance in intention to use. The integrated model demonstrates strong explanatory power, with attitude emerging as the dominant predictor of adoption intention. Qualitative findings reveal that ChatGPT use enhances psychological empowerment across four dimensions: meaning, self-determination, competence, and impact. Critically, increased employee autonomy in communication tasks is accompanied by a redistribution of communicative authority within teams, shifting control from supervisory gatekeepers toward frontline and back-office staff. These results establish that generative AI functions not merely as a productivity instrument but as a structural force reshaping work roles, decision-making authority, and organizational power relations in tourism settings. The study contributes novel empirical evidence at the intersection of AI adoption theory, empowerment theory, and power-agency perspectives in the context of an emerging economy's tourism sector.

Downloads

Download data is not yet available.

Author Biographies

  • Mihiri Wickramasinghe, Department of Information Systems, Faculty of Management Studies, Rajarata University of Sri Lanka

    Mihiri Wickramasinghe is a Senior Lecturer in the Department of Business Management at the Faculty of Management Studies, Rajarata University of Sri Lanka. She holds a BSc in Computer Science from the University of Peradeniya and an MSc in Management Information Systems from the University of Colombo. Currently, she is pursuing a PhD in Management at the University of Sri Jayewardenepura. Her research interests include Information Systems, E-Learning, and Accounting Software. Ms. Wickramasinghe has contributed to numerous publications focusing on IT adoption, online education, and digital transformation in Sri Lanka

  • Edina Wiligas Biyiri, Department of Tourism and Hospitality Management, Faculty of Management Studies, Rajarata University of Sri Lanka

    Edina Wiligas Biyiri is a senior lecturer at the Department of Tourism and Hospitality Management, Faculty of Management Studies, Rajarata University of Sri Lanka. She graduated with a B.A. (Special) Degree in German Studies from the University of Kelaniya, Sri Lanka. She obtained her Masters in Tourism Economics and Hotel Management from the University of Colombo, Sri Lanka. Currently, she is pursuing a PhD at the University of Colombo, Sri Lanka, focusing on guest experiences in the hospitality industry. Her research interests include tourism management, hospitality management, tourism education, tourist behaviour, and sustainable tourism.

Downloads

Published

2026-05-07

Issue

Section

Articles