Facing or avoiding? How dependence on artificial intelligence influences hotel employees’ job crafting DOI
Hongdan Zhao, Yunshuo Ma, Yuanhua Chen

et al.

International Journal of Contemporary Hospitality Management, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 11, 2025

Purpose As more hotels adopt artificial intelligence (AI), it becomes inevitable for employees to rely on abilities enhanced by the use of AI complete tasks. However, our understanding how adapt this shift in work design remains limited. Therefore, purpose study is explore hotel employees’ approach and avoidance behavioral reactions dependence AI. Design/methodology/approach A three-wave field was conducted, collecting data from 303 analyzed using Mplus 8.3. Findings Dependence can be construed as a positive stimulus, augmenting harmonious passion subsequently promoting job crafting. The promotion focus positively moderates process. On other hand, also perceived negative heightening feelings threat and, consequently, fostering In case, prevention Practical implications This provides theoretical foundations decision-making references management practice. Managers should implement measures guide developing proper provide them with emotional support institutional safeguards. Originality/value unveils consequences employees, offering new perspectives research industry. By differentiating crafting, theorizes tests dual-path model may influence thereby enriching AI–job crafting literature.

Language: Английский

Interactive effects of AI awareness and change-oriented leadership on employee-AI collaboration: The role of approach and avoidance motivation DOI
Zihan Yin, Haiyan Kong, Yehuda Baruch

et al.

Tourism Management, Journal Year: 2024, Volume and Issue: 105, P. 104966 - 104966

Published: May 20, 2024

Language: Английский

Citations

18

Adverse impacts of revealing the presence of “Artificial Intelligence (AI)” technology in product and service descriptions on purchase intentions: the mediating role of emotional trust and the moderating role of perceived risk DOI
Mesut Çiçek, Doğan Gürsoy, Lu Lu

et al.

Journal of Hospitality Marketing & Management, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 23

Published: June 19, 2024

While the presence of term "Artificial Intelligence (AI)" in a product description may be viewed as sign that having advanced capabilities and features, it also trigger fear concern among consumers. Therefore, this study explores impact inclusion (vs. exclusion) Intelligence" goods service descriptions on consumers' purchase intentions. It examines mediating role emotional trust moderating perceived risk relationship. We conducted six experiments to investigate these relationships. The data were analyzed using T-tests Hayes Process Macro Models 4 7. findings indicated products services decreases intention, mediates Findings further suggested negative effect AI intention was stronger for high-risk products, compared low-risk products. These provide valuable insights both academia practitioners, leading them develop more effective appealing strategies applications AI.

Language: Английский

Citations

16

Understanding tourist barriers and personality influences in embracing generative AI for travel planning and decision-making DOI Creative Commons
Siamak Seyfi, Myung Ja Kim, Amin Nazifi

et al.

International Journal of Hospitality Management, Journal Year: 2025, Volume and Issue: 126, P. 104105 - 104105

Published: Jan. 15, 2025

Language: Английский

Citations

3

Influence of artificial intelligence (AI) perception on career resilience and informal learning DOI
Haiyan Kong,

Xinyu Jiang,

Xiaoge Zhou

et al.

Tourism Review, Journal Year: 2023, Volume and Issue: 79(1), P. 219 - 233

Published: Nov. 22, 2023

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

Language: Английский

Citations

23

How AI awareness can prompt service performance adaptivity and technologically-environmental mastery DOI
Ziying Mo, Matthew Tingchi Liu, Yu Ma

et al.

Tourism Management, Journal Year: 2024, Volume and Issue: 105, P. 104971 - 104971

Published: May 20, 2024

Language: Английский

Citations

14

The two faces of Artificial Intelligence (AI): Analyzing how AI usage shapes employee behaviors in the hospitality industry DOI
Yunshuo Liu, Yanbin Li,

Keni Song

et al.

International Journal of Hospitality Management, Journal Year: 2024, Volume and Issue: 122, P. 103875 - 103875

Published: July 29, 2024

Language: Английский

Citations

12

Examining the influence of AI event strength on employee performance outcomes: Roles of AI rumination, AI-supported autonomy, and felt obligation for constructive change DOI
Jing Bai,

Tzung Cheng TC Huan,

Wai Yie Leong

et al.

International Journal of Hospitality Management, Journal Year: 2025, Volume and Issue: 126, P. 104111 - 104111

Published: Jan. 16, 2025

Language: Английский

Citations

1

Hospitality and tourism experience in metaverse: an examination of users’ behavior, motivations, and preferences DOI
Soyeun Lee, Qi Wu, Sunghyup Sean Hyun

et al.

Journal of Hospitality Marketing & Management, Journal Year: 2024, Volume and Issue: 33(8), P. 1023 - 1039

Published: May 27, 2024

The rise of the metaverse presents an outlook for revitalizing hospitality and tourism industry garnering recognition across professional spheres. This study explores motivations preferences users engaging in using 5W1H analysis, which stands five Ws (what, who, when, where, why) one H (how). comprehensive examination sheds light on evolution potential advantages offers insights future progress. reveals that are primarily driven by their anticipated experiences when participating tourism. Additionally, time- cost-saving benefits, along with opportunities to discover destinations, play important role attracting users. Compared traditional tourism, offer greater flexibility terms timing, location, companionship. However, two not opposition; they complement each other can develop together.

Language: Английский

Citations

7

Does smart technology, artificial intelligence, robotics, and algorithm (STARA) awareness have a double-edged-sword influence on proactive customer service performance? Effects of work engagement and employee resilience DOI
Hsiu-Yu Teng, Ming-Way Li,

Chien-Yu Chen

et al.

Journal of Hospitality Marketing & Management, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 24

Published: Jan. 8, 2025

The effect of smart technology, artificial intelligence, robotics, and algorithm (STARA) awareness on employee outcomes (e.g. job crafting competitive productivity) has been recognized. However, these studies have overlooked outcome variables concerning interactions with customers, despite the prevalence boundary-spanning roles in hospitality industry, which involve frequent between customers hotel workers. Thus, according to cognitive appraisal theory demands – resources model, our research addresses literature gap by delving into STARA awareness-proactive customer service performance relationship while considering played work engagement resilience. Data from 554 matched pairs employees supervisors revealed that viewing as a challenge fully mediated its connection proactive via engagement, resilience moderating this pathway. By contrast, hindrance perception had direct negative impact performance.

Language: Английский

Citations

0

Factors influencing behavioral intention to use facial recognition payment in the restaurant industry: a comparative analysis of China and Malaysia DOI
Teng Yu, Ai Ping Teoh, Junyun Liao

et al.

Journal of Travel & Tourism Marketing, Journal Year: 2025, Volume and Issue: 42(2), P. 222 - 247

Published: Jan. 27, 2025

Language: Английский

Citations

0