Generative Artificial Intelligence in the Hospitality and Tourism Industry: Developing a Framework for Future Research

T. Dogru, Nathaniel D. Line, Makarand Mody, Lydia Hanks, Je’Anna Abbott, Fulya Acikgoz, A. Assaf, Selim Bakir, Adiyukh Berbekova, Anil Bilgihan, Alec N. Dalton, Ezgi Erkmen, Mahala Geronasso, Dale Gomez, Sue Graves, Ali Iskender, Stanislav Ivanov, M. Kizildag, Min-Sun Lee, Woojin Lee, J. Luckett, Sean P. McGinley, F. Okumus, Irem Onder, Ozgur Ozdemir, Hyekyung Park, Abhinav Sharma, Courtney Suess, M. Uysal, T. Zhang
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引用次数: 9

Abstract

Generative artificial intelligence (GAI) offers important opportunities for the hospitality and tourism (HT) industry in the context of operations, design, marketing, destination management, human resources, revenue management, accounting and finance, strategic management, and beyond. However, the implementation of GAI in HT contexts comes with ethical, legal, social, and economic considerations that require careful reflection by HT firms. The purpose of this study is to offer a critical examination of the effects of GAI applications across a broad spectrum of stakeholders in the HT industry, in an effort to integrate practical and academic insights and foresights and drive academic research forward. Through the contributions of a purposeful selection of scholars, educators, and industry-practitioners, along the tenets of the stakeholder theory of the firm, this study highlights the potential challenges and opportunities of GAI and considers how academics can navigate the (research) complexities of this rapidly evolving technological phenomenon.
酒店和旅游业中的生成式人工智能:为未来研究开发框架
生成式人工智能(GAI)为酒店和旅游(HT)行业在运营、设计、营销、目的地管理、人力资源、收入管理、会计和财务、战略管理等方面提供了重要的机会。然而,在HT背景下实施GAI需要伦理、法律、社会和经济方面的考虑,这需要HT公司仔细思考。本研究的目的是对GAI应用在HT行业中广泛的利益相关者中的影响进行批判性检查,努力整合实践和学术见解和远见,推动学术研究向前发展。根据企业利益相关者理论的原则,通过有目的地选择学者、教育工作者和行业从业者的贡献,本研究突出了GAI的潜在挑战和机遇,并考虑了学者如何应对这一快速发展的技术现象的(研究)复杂性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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