Artificial intelligence’s impact on hospitality and tourism marketing: exploring key themes and addressing challenges

Bulchand-Gidumal, Jacques; William Secin, Eduardo; O’Connor, Peter; Buhalis, Dimitrios

doi:10.1080/13683500.2023.2229480

Cited by 52 publications

(9 citation statements)

References 84 publications

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“…Using data to inform decisions like this improves the overall effectiveness of tourist development plans (Lv et al ., 2022). In particular, AI is crucial to optimising and personalising the travel experience, from customised suggestions to predictive analytics that foresee the demands of guests (Bulchand-Gidumal et al ., 2023; Doborjeh et al ., 2022).…”

Section: Resultsmentioning

confidence: 99%

Digital technology in tourism: a bibliometric analysis of transformative trends and emerging research patterns

Asif,

Fazel

2024

JHTI

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PurposeThis paper employs bibliometric analysis to explore transformative trends and emerging research patterns in the intersection of digital technology and tourism. The goal is to provide insights into the evolving landscape, identify key themes, influential authors and prominent journals, contributing to a nuanced understanding of this dynamic field.Design/methodology/approachThis study rigorously employs bibliometric analysis from 2002 to 2023, using Scopus and Web of Science databases, yielding 2,040 Scopus and 1,389 Web of Science documents. After meticulous data selection, 575 articles were refined. Utilising VOSviewer and Biblioshiny, the analyses focus on publication trends, citations, authorship, collaborations and thematic clusters, addressing four research questions.FindingsThis bibliometric analysis reveals a significant growth in annual scientific production on digital technology and tourism, peaking at 100 articles in 2023. Key contributors include LAW R., CHUNG N. and KOO C. China leads in research output, and influential journals include “Current Issues in Tourism” and “Information Technology and Tourism.” Noteworthy trends emphasise the centrality of “smart tourism” and the interconnectedness of technology, hospitality and management in shaping future research directions.Practical implicationsStakeholders should focus on integrating emerging technologies in tourism, emphasising areas with high research activity. Professionals must stay updated on evolving trends, adopt innovative digital solutions and collaborate to navigate the dynamic landscape.Originality/valueThis study pioneers the first bibliometric analysis on digital technology in the tourism industry, providing a unique and comprehensive exploration of the scholarly landscape from 1998 to 2023, shedding light on key contributors, influential journals and emerging trends.

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Section: Resultsmentioning

confidence: 99%

Digital technology in tourism: a bibliometric analysis of transformative trends and emerging research patterns

Asif,

Fazel

2024

JHTI

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“…Second, our study has made a novel contribution by building a theoretical model linking the new dynamic workplace factor, AI and career development theory. Smarter applications of AI in the tourism and hospitality field have been dominating the research trend from the perspectives of service delivery or marketing (Tussyadiah, 2020; Bulchand-Gidumal et al , 2023) and customer experience (Goel et al , 2022; Buhalis and Moldavska, 2022). However, no known work has empirically investigated career resilience under the AI context.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

“…Examples include policy interventions through education and training programs to address gaps in the skills required for AI-related jobs. This effort should help employees work more effectively with AI while avoiding the negative impacts (Bulchand-Gidumal et al , 2023). For business managers, they can also create an active learning atmosphere to stimulate employees’ informal learning activity.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Influence of artificial intelligence (AI) perception on career resilience and informal learning

Kong,

Jiang,

Zhou

et al. 2023

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Purpose Artificial intelligence (AI) and big data analysis may further enhance the automated and smart features of tourism and hospitality services. However, it also poses new challenges to human resource management. This study aims to explore the direct and indirect effects of employees’ AI perception on career resilience and informal learning as well as the mediating effect of career resilience. Design/methodology/approach This paper proposed a theoretical model of AI perception, career resilience and informal learning with perceived AI as the antecedent variable, career resilience as the mediate variable and informal learning as the endogenous variable. Targeting the employees working with AI, a total of 472 valid data were collected. Data were analyzed using structural equation modeling with AMOS software. Findings Findings indicated that employees’ perception of AI positively contributes to career resilience and informal learning. Apart from the direct effect on informal learning, career resilience also mediates the relationship between AI perception and informal learning. Originality/value Research findings provide both theoretical and practical implications by revealing the impact of AI perception on employees’ career development, leaning activities, explaining how AI transforms the nature of work and career development and shedding lights on human resource management in the tourism and hospitality field.

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“…The pandemic was such an unanticipated event that it struck everyone in the business industry. A number of studies found that tourism was the first industry to be significantly impacted by the pandemic's movement control order (Angmo, 2021;Bulchand-Gidumal et al, 2023;Hanafiah et al, 2021). This highlights the sector's fragility and raises concerns about its capability to address crises effectively.…”

Section: Practical Implicationsmentioning

confidence: 99%

Navigating turbulent waters: The impact of business continuity management (BCM) practices on financial and nonfinancial performance of tour operator companies

Awang Ali,

Hanafiah,

Mogindol

2024

Contingencies & Crisis Mgmt

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This study examines the influence of Business Continuity Management (BCM) practices on tour operator companies' financial and nonfinancial performance amid the COVID‐19 pandemic. Employing purposive and cluster sampling, a survey was conducted with 331 tour operators, and the study hypotheses were evaluated using Partial Least Squares—Structural Equation Modelling. Findings reveal that the organizational preparedness and embeddedness of continuity practices significantly influence both financial and nonfinancial performance. Additionally, management support and external requirements impact either financial or nonfinancial performance. The study reveals tour operator companies' resilience demonstrated through their continuity management skills, particularly in adapting to business challenges during the pandemic. The research contributes a fresh perspective on the interplay between BCM practices and organizational performance, emphasizing the importance of robust business continuity strategic planning for the future of tourism operator companies.

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Artificial intelligence’s impact on hospitality and tourism marketing: exploring key themes and addressing challenges

Cited by 52 publications

References 84 publications

Digital technology in tourism: a bibliometric analysis of transformative trends and emerging research patterns

Digital technology in tourism: a bibliometric analysis of transformative trends and emerging research patterns

Influence of artificial intelligence (AI) perception on career resilience and informal learning

Navigating turbulent waters: The impact of business continuity management (BCM) practices on financial and nonfinancial performance of tour operator companies

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