Cocreating value with hotel guests in the “new normal”: the case of Spain DOI
Gloria Berenguer Contrí, Irene Gil Saura, Martina G. Gallarza

et al.

Consumer Behavior in Tourism and Hospitality, Journal Year: 2024, Volume and Issue: 19(4), P. 537 - 550

Published: Sept. 14, 2024

Purpose This paper aims to identify the role of coproduction and value-in-use in overall hotel experience value, its effects on cognitive-affective satisfaction loyalty. The country chosen is Spain, context “new normal,” where increase tourist flow after COVID-19 pandemic has been very relevant, setting up chance better assess discuss value creation a post-pandemic era. Design/methodology/approach causal model validated with partial least squares (PLS) panel 405 guests (applying sampling quotas by sex, age region). Findings chain verified stronger links at end greater weight compared coproduction. Hotels’ efforts adapt situation work if customized, unique offered intensive communication not just guest. key for cocreation produce results Originality/value study contributes literature highlighting respective roles as drivers satisfaction−loyalty chain, introducing guest’s into this chain. viewed against backdrop contextual changes that have occurred since 2020 Spanish industry. “forces” client actively participate. Analysis implications kind new customer relevant both tourism scholars managers.

Language: Английский

A digital transformation approach in hospitality and tourism research DOI
Xusen Cheng,

Tong Xue,

Bo Yang

et al.

International Journal of Contemporary Hospitality Management, Journal Year: 2023, Volume and Issue: 35(8), P. 2944 - 2967

Published: Jan. 5, 2023

Purpose Because of the COVID-19, digital transformation global hospitality and tourism speeds up. This paper aims to provide comprehensive frame for further research. Design/methodology/approach Through conducting a critical review impact current situation about application technology in travel, this study used qualitative approach present viewpoints. Findings research presents theoretical framework transformation, including possible directions, contexts methods. It highlights importance proposing specific topics. Research limitations/implications brings valuable implications guidance future from aspects key streams, context methodological approaches transformation. Originality/value supplies existing reviewed through paying attention tourism, providing technically industry hotels travel.

Language: Английский

Citations

92
Creepy vs. cool: Switching from human staff to service robots in the hospitality industry DOI
Sung‐Eun Kang, Chulmo Koo, Namho Chung

et al.

International Journal of Hospitality Management, Journal Year: 2023, Volume and Issue: 111, P. 103479 - 103479

Published: April 18, 2023

Language: Английский

Citations

48
Artificial Intelligence (AI) in Tourism DOI
Seden Doğan,

İlayda Zeynep Niyet

Emerald Publishing Limited eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 3 - 21

Published: Jan. 22, 2024

Artificial Intelligence (AI) has revolutionised the tourism industry, offering personalised experiences and streamlining operations. AI provides customised recommendations for travellers through data analysis machine learning, making their journeys more meaningful. It also improved efficiency automated processes, chatbots enhanced security measures. AI's ability to analyse large volumes of enables organisations make data-driven decisions target marketing strategies effectively. One most notable contributions in is its offer recommendations. By analysing vast travel history, preferences online behaviour, systems can provide tailored suggestions destinations, accommodations, activities dining options. This level customisation enhances overall experience, it relevant satisfying individual travellers. greatly operational within sector. Chatbots, powered by natural language processing, are increasingly being deployed hotels, airlines agencies instant customer support assistance. These answer queries, handle booking reducing waiting times enhancing satisfaction. In addition, facial recognition technology allows quick accurate identity verification at airports, hotels other travel-related facilities. improves with a seamless efficient experience. As advances, we expect play prominent role augmented reality, voice virtual assistants, further experience facilitating interactions. conclusion, transformed industry providing recommendations, improving efficiency, measures enabling destination management.

Language: Английский

Citations

16
Risk, Trust, and the Roles of Human Versus Virtual Influencers DOI Creative Commons
Nisreen Ameen, Jun‐Hwa Cheah, Faizan Ali

et al.

Journal of Travel Research, Journal Year: 2023, Volume and Issue: 63(6), P. 1370 - 1394

Published: Aug. 19, 2023

Drawing on the theory of sociology trust and risk, this study proposes empirically tests a conceptual model tourists’ new destination visit intentions. The links subjective knowledge to risk perceptions explores moderating effects social media influencers (human vs. virtual) psychographic factors in context. Data were collected from two studies: Study 1, through survey distributed participants Malaysia ( n = 493 valid responses); 2, between-subjects design experiment with another sample 470 responses). findings expand tourism research by showing that mediates how influences perceived risk. Optimism life satisfaction have significant Furthermore, relationship between intention is moderated human virtual influencers, according whether their message positive or negative.

Language: Английский

Citations

36
Extending the mediation role of entrepreneurial self-efficacy on enhancing students’ entrepreneurial intentions: A moderated mediation model DOI
David Amani, Ismail Juma Ismail,

Athuman Makona

et al.

The International Journal of Management Education, Journal Year: 2023, Volume and Issue: 22(1), P. 100915 - 100915

Published: Dec. 2, 2023

Language: Английский

Citations

24
Out of the way, human! Understanding post-adoption of last-mile delivery robots DOI Creative Commons
Xin‐Jean Lim, Jennifer Yee‐Shan Chang, Jun‐Hwa Cheah

et al.

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 201, P. 123242 - 123242

Published: Feb. 2, 2024

The pace of technological development is exceeding expectations and transforming the landscape last-mile delivery. This study investigates how users' post-adoption behavior in using delivery robots formed. Based on task-technology fit (TTF) model, we present a research model that includes both direct indirect factors have been previously overlooked literature. We collected data from 550 users robots. Our structural equation modelling results show two hedonic- (i.e., gratification anthropomorphism) three utilitarian- service quality experience, task requirements, user-facing technology performance) driven predict perceived TTF Value-in-use trust sequential mediating effects connect reuse likelihood word-of-mouth recommendation. findings suggest ways to improve robot strategies provide practical implications for industry.

Language: Английский

Citations

13
Experience-driven well-being: the case of unmanned smart hotels DOI Creative Commons
Erose Sthapit, Chunli Ji, Ping Yang

et al.

International Journal of Contemporary Hospitality Management, Journal Year: 2024, Volume and Issue: 36(13), P. 1 - 18

Published: Jan. 15, 2024

Purpose Drawing on the theory of memory-dominant logic, this study aims to examine how substantive staging servicescape, experience co-creation, experiential satisfaction and intensification affect memorability hedonic well-being in case unmanned smart hotels. Design/methodology/approach An online survey was used, with target respondents being hotel guests people aged 18 years older who had been recent FlyZoo Hotel Hangzhou, China. Data were collected from 429 stayed between April June 2023. analysis undertaken using structural equation modelling. Findings The results suggest that all proposed four constructs are positive drivers a memorable experience. relationship found be significant positive. Practical implications Unmanned hotels should ensure technologies function effectively dependably offer highly personalised services guests, allowing them co-create their experiences. This will lead guest receiving satisfying To enable co-creation technologies, could provide short instructional videos for as well work closely manufacturers suppliers technology systems regularly updated. Originality/value investigates antecedents outcomes novel phenomenon extends concept tourism experiences context

Language: Английский

Citations

12
Drivers of hotel guests’ choice of smart products: Applying a complexity theory involving TAM, technology readiness, TPB, and emotion factors DOI
Heesup Han, Seongseop Kim, Frank Badu‐Baiden

et al.

International Journal of Hospitality Management, Journal Year: 2024, Volume and Issue: 120, P. 103755 - 103755

Published: April 25, 2024

Language: Английский

Citations

12
The impact of the perception of smart hotel attributes and perceptions of service innovation on tourist happiness and brand loyalty DOI

Anna Dai,

Zhang Jing-song, Chen-Kuo Pai

et al.

International Journal of Hospitality Management, Journal Year: 2025, Volume and Issue: 127, P. 104107 - 104107

Published: Feb. 1, 2025

Language: Английский

Citations

1
Opting for smart hotels: do digital immigrants perceive differently than digital natives do? DOI

Zhuoma Yan,

Rupam Konar, Erose Sthapit

et al.

Journal of Hospitality and Tourism Insights, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 3, 2025

Purpose This study expanded the model of technology acceptance and investigated how relationship between usefulness, ease use, efficiency, personalization, safety security behavioural intention differ on Gen Z silver tourists toward smart hotel. further applies multiple group analysis to examine whether there are substantial differences among these two groups respondents. Design/methodology/approach Using an online survey, this was undertaken with in mainland China who had stayed hotel over past 12 months. A total 474 valid responses were collected. Structural equation modelling multigroup employed test proposed relationships. Findings revealed that personalization did not affect tourists, meanwhile, is no positive efficiency group. Additionally, findings (digital natives) customers immigrants) regarding intentions. Practical implications offers strategic guidance for managers design reposition based different customer sectors. Further, important devices manufacturers also provided improve functioning service robots. Originality/value first compare drivers outcomes intentions age hotels.

Language: Английский

Citations

1