TY - JOUR
T1 - Generative Artificial Intelligence in the Hospitality and Tourism Industry
T2 - Developing a Framework for Future Research
AU - Dogru, Tarik
AU - Line, Nathan
AU - Mody, Makarand
AU - Hanks, Lydia
AU - Abbott, Je’Anna
AU - Acikgoz, Fulya
AU - Assaf, Albert
AU - Bakir, Selim
AU - Berbekova, Adiyukh
AU - Bilgihan, Anil
AU - Dalton, Alec
AU - Erkmen, Ezgi
AU - Geronasso, Mahala
AU - Gomez, Dale
AU - Graves, Sue
AU - Iskender, Ali
AU - Ivanov, Stanislav
AU - Kizildag, Murat
AU - Lee, Minwoo
AU - Lee, Woojin
AU - Luckett, John
AU - McGinley, Sean
AU - Okumus, Fevzi
AU - Onder, Irem
AU - Ozdemir, Ozgur
AU - Park, Hyekyung
AU - Sharma, Abhinav
AU - Suess, Courtney
AU - Uysal, Muzaffer
AU - Zhang, Tingting
N1 - Publisher Copyright:
© The Author(s) 2023.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - ChatGPT
KW - generative artificial intelligence (GAI)
KW - hospitality and tourism
KW - stakeholder theory
KW - value co-creation and co-destruction
UR - http://www.scopus.com/inward/record.url?scp=85165170941&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85165170941&partnerID=8YFLogxK
U2 - 10.1177/10963480231188663
DO - 10.1177/10963480231188663
M3 - Article
AN - SCOPUS:85165170941
SN - 1096-3480
JO - Journal of Hospitality and Tourism Research
JF - Journal of Hospitality and Tourism Research
ER -