The effect of STARA awareness on hotel employees' turnover intention and work engagement: the mediating role of perceived organisational support DOI
Miraç Yücel Başer, Tuba Büyükbeşe, Stanislav Ivanov

и другие.

Journal of Hospitality and Tourism Insights, Год журнала: 2024, Номер unknown

Опубликована: Июль 9, 2024

Purpose The proliferation of Smart Technologies, Artificial Intelligence, Robotics, and Algorithms (STARA) in the tourism hospitality (T&H) industry has been shown to trigger negative employee behaviour associated with awareness these technologies. This study expands existing literature on technology organisational from perspective employees based a dual appraisal STARA awareness. Design/methodology/approach sample included 324 Turkish hotel employees, analysis was conducted through partial least squares structural equation modelling (PLS-SEM). Findings Results revealed impact job outcomes among employees. negatively affected psychological relationship between individuals organisations. Despite findings, when perceived as companion that could support employees' career development, technologies increased employees’ work engagement. Practical implications Organisational plays critical role decreasing fear technological unemployment. Hotel managers can increase commitment organisation by helping them feel valued supported. However, they give will not always work. While more optimistic are warmer toward organisation, depressed may recognise value gives them. Hence, should strive offer personalised assistance addresses distinct requirements worries individual Originality/value research provides two-sided assessment, extending one-sided perceptions towards is grounded Transactional Stress Theory significant for Job Demands-Resources Theory, Person-Organisation Fit Self-Determination Theory.

Язык: 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

и другие.

Tourism Management, Год журнала: 2024, Номер 105, С. 104966 - 104966

Опубликована: Май 20, 2024

Язык: Английский

Процитировано

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

и другие.

International Journal of Hospitality Management, Год журнала: 2025, Номер 126, С. 104105 - 104105

Опубликована: Янв. 15, 2025

Язык: Английский

Процитировано

1

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

Xinyu Jiang,

Xiaoge Zhou

и другие.

Tourism Review, Год журнала: 2023, Номер 79(1), С. 219 - 233

Опубликована: Ноя. 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.

Язык: Английский

Процитировано

23

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

и другие.

Tourism Management, Год журнала: 2024, Номер 105, С. 104971 - 104971

Опубликована: Май 20, 2024

Язык: Английский

Процитировано

13

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

и другие.

Journal of Hospitality Marketing & Management, Год журнала: 2024, Номер unknown, С. 1 - 23

Опубликована: Июнь 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.

Язык: Английский

Процитировано

13

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

и другие.

International Journal of Hospitality Management, Год журнала: 2024, Номер 122, С. 103875 - 103875

Опубликована: Июль 29, 2024

Язык: Английский

Процитировано

11

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

и другие.

International Journal of Hospitality Management, Год журнала: 2025, Номер 126, С. 104111 - 104111

Опубликована: Янв. 16, 2025

Язык: Английский

Процитировано

1

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

и другие.

Journal of Hospitality Marketing & Management, Год журнала: 2024, Номер 33(8), С. 1023 - 1039

Опубликована: Май 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.

Язык: Английский

Процитировано

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

и другие.

Journal of Hospitality Marketing & Management, Год журнала: 2025, Номер unknown, С. 1 - 24

Опубликована: Янв. 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.

Язык: Английский

Процитировано

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

и другие.

Journal of Travel & Tourism Marketing, Год журнала: 2025, Номер 42(2), С. 222 - 247

Опубликована: Янв. 27, 2025

Язык: Английский

Процитировано

0