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Your search keyword '"Buhalis, Dimitrios"' showing total 417 results
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417 results on '"Buhalis, Dimitrios"'

1. Algorithmic Ghost in the Research Shell: Large Language Models and Academic Knowledge Creation in Management Research

Author

Williams, Nigel, Ivanov, Stanislav, and Buhalis, Dimitrios

Subjects
Computer Science - Computation and Language, K.3, K.4, K.6
Abstract

The paper looks at the role of large language models in academic knowledge creation based on a scoping review (2018 to January 2023) of how researchers have previously used the language model GPT to assist in the performance of academic knowledge creation tasks beyond data analysis. These tasks include writing, editing, reviewing, dataset creation and curation, which have been difficult to perform using earlier ML tools. Based on a synthesis of these papers, this study identifies pathways for a future academic research landscape that incorporates wider usage of large language models based on the current modes of adoption in published articles as a Co-Writer, Research Assistant and Respondent., Comment: 14 pages

Published
2023

16. Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy

Author

Dwivedi, Yogesh K., Kshetri, Nir, Hughes, Laurie, Slade, Emma Louise, Jeyaraj, Anand, Kar, Arpan Kumar, Baabdullah, Abdullah M., Koohang, Alex, Raghavan, Vishnupriya, Ahuja, Manju, Albanna, Hanaa, Albashrawi, Mousa Ahmad, Al-Busaidi, Adil S., Balakrishnan, Janarthanan, Barlette, Yves, Basu, Sriparna, Bose, Indranil, Brooks, Laurence, Buhalis, Dimitrios, Carter, Lemuria, Chowdhury, Soumyadeb, Crick, Tom, Cunningham, Scott W., Davies, Gareth H., Davison, Robert M., Dé, Rahul, Dennehy, Denis, Duan, Yanqing, Dubey, Rameshwar, Dwivedi, Rohita, Edwards, John S., Flavián, Carlos, Gauld, Robin, Grover, Varun, Hu, Mei-Chih, Janssen, Marijn, Jones, Paul, Junglas, Iris, Khorana, Sangeeta, Kraus, Sascha, Larsen, Kai R., Latreille, Paul, Laumer, Sven, Malik, F. Tegwen, Mardani, Abbas, Mariani, Marcello, Mithas, Sunil, Mogaji, Emmanuel, Nord, Jeretta Horn, O’Connor, Siobhan, Okumus, Fevzi, Pagani, Margherita, Pandey, Neeraj, Papagiannidis, Savvas, Pappas, Ilias O., Pathak, Nishith, Pries-Heje, Jan, Raman, Ramakrishnan, Rana, Nripendra P., Rehm, Sven-Volker, Ribeiro-Navarrete, Samuel, Richter, Alexander, Rowe, Frantz, Sarker, Suprateek, Stahl, Bernd Carsten, Tiwari, Manoj Kumar, van der Aalst, Wil, Venkatesh, Viswanath, Viglia, Giampaolo, Wade, Michael, Walton, Paul, Wirtz, Jochen, and Wright, Ryan

Published
2023
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20. Drivers of e-Tourism

Author

Buhalis, Dimitrios, Xiang, Zheng, editor, Fuchs, Matthias, editor, Gretzel, Ulrike, editor, and Höpken, Wolfram, editor

Published
2022
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27. Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy

Author

Dwivedi, Yogesh K., Hughes, Laurie, Baabdullah, Abdullah M., Ribeiro-Navarrete, Samuel, Giannakis, Mihalis, Al-Debei, Mutaz M., Dennehy, Denis, Metri, Bhimaraya, Buhalis, Dimitrios, Cheung, Christy M.K., Conboy, Kieran, Doyle, Ronan, Dubey, Rameshwar, Dutot, Vincent, Felix, Reto, Goyal, D.P., Gustafsson, Anders, Hinsch, Chris, Jebabli, Ikram, Janssen, Marijn, Kim, Young-Gab, Kim, Jooyoung, Koos, Stefan, Kreps, David, Kshetri, Nir, Kumar, Vikram, Ooi, Keng-Boon, Papagiannidis, Savvas, Pappas, Ilias O., Polyviou, Ariana, Park, Sang-Min, Pandey, Neeraj, Queiroz, Maciel M., Raman, Ramakrishnan, Rauschnabel, Philipp A., Shirish, Anuragini, Sigala, Marianna, Spanaki, Konstantina, Wei-Han Tan, Garry, Tiwari, Manoj Kumar, Viglia, Giampaolo, and Wamba, Samuel Fosso

Published
2022
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32. Exploring how interaction leads to value co-creation, value co-destruction, and value no-creation during service mega-disruptions.

Author

Assiouras, Ioannis, Vallström, Niklas, Skourtis, George, and Buhalis, Dimitrios

Subjects
COVID-19 pandemic, CUSTOMER cocreation, TRAVEL delays & cancellations, SEMI-structured interviews, ACCESS to information
Abstract

This study investigates the principles and the factors influencing interaction for resource integration during service mega-disruptions (SMDs) in the tourism ecosystem. Utilizing qualitative data from semi-structured interviews conducted during the COVID-19 pandemic, this article reveals that interaction principles of willingness to exchange, access to information, dialogue, transparency, coordination, adaptation, and informed risk assessment lead to value co-creation (VCC). Failure to follow these principles leads to value no-creation (VNC) or value co-destruction (VCD). During SMDs, the most critical factors influencing interaction for resource integration are traveller's safety needs, initiation of travel cancellation, sympathy, proactivity, omnichannel communication, the effectiveness of technology and employees as well as the number of involved actors. Forced indifference in VNC is uncovered, where firms' constraints hinder their engagement despite tourists' desire for interaction. This study contributes to the understanding of value dynamics during SMDs and calls for further exploration of multiple stakeholders' perspectives in such contexts. [ABSTRACT FROM AUTHOR]

Published
2024
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50. Artificial intelligence's impact on hospitality and tourism marketing: exploring key themes and addressing challenges.

Author

Bulchand-Gidumal, Jacques, William Secin, Eduardo, O'Connor, Peter, and Buhalis, Dimitrios

Subjects
ARTIFICIAL intelligence, TOURISM impact, MASS customization, TOURISM marketing, LEGAL ethics, HOTEL marketing, SERVICE design
Abstract

Understanding how Artificial Intelligence (AI) impacts organizational functions supports stakeholders to prepare accordingly and profit from these developments. Adopting a grounded theory approach, this study uses three interlinked stages (in-depth interviews, focus groups and a questionnaire-based survey) to explore the impact of AI on the marketing function of hotels. The results identify ten trends related to AI's contribution to hotel marketing, clustered in four themes. AI reengineers internal processes and procedures by enabling data and content as catalysts of competitiveness; empowering the augmented worker and performing mass personalization and customization. AI also impacts relationships with stakeholders by determining return on investment; improving sustainability; and governing legal aspects and ethics regarding data use. AI supports networks to which the organizations belong by concentrating and integrating organizations and transforming distribution models. AI transforms customer processes and services by engaging smart and predictive customer care and by employing predictive and augmented product and service design. The study illustrates the changes that AI will likely bring to hospitality and tourism marketing, developing a research agenda and raising discussion points for academic and industry practitioners respectively. [ABSTRACT FROM AUTHOR]

Published
2024
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