International Journal of Contemporary Hospitality Management最新文献

{"title":"Linking corporate digital responsibility and customer citizenship behavior","authors":"Angie Yeonsook Im,Han Chen,Hyewon Lee","doi":"10.1108/ijchm-09-2025-1439","DOIUrl":"https://doi.org/10.1108/ijchm-09-2025-1439","url":null,"abstract":"Purpose This study aims to examine how customers’ perception of corporate digital responsibility (CDR) influences their citizenship behavior (CCB) toward the company. The mediating roles of perceived corporate social responsibility (CSR) and brand pride were examined, as well as the moderating role of customers’ subjective knowledge of CDR. Design/methodology/approach Data were collected from 288 South Korean customers who had used digital hospitality services in the two months prior to data collection. Structural equation modeling was used to test the proposed hypotheses, and bootstrapping procedures with 5,000 resamples were used to examine mediating effects. The study also examined the moderating role of subjective knowledge in the proposed relationships. Findings Results indicate that perceived CSR mediates the relationship between perceived CDR and CCB. Sequential mediation of CSR and brand pride in the link between CDR and CCB was also supported. Customers’ subjective knowledge of CDR moderates the relationship between CDR and brand pride, such that the positive association is stronger among customers with higher subjective knowledge. Research limitations/implications The study extends the applicability of signaling theory by demonstrating that CDR can positively influence CCB through perceived CSR. It also draws on social exchange theory (SET) to explain how CDR practices generate a sense of relational obligation, with CSR perceptions and brand pride serving as the sequential mechanisms through which customers reciprocate through CCB. Originality/value This study addresses a gap in understanding CDR in the hospitality industry by examining how customers associate CDR practices with CSR and how these associations relate to their CCB toward the company. By integrating signaling theory and SET with CSR, brand pride and subjective knowledge, this research expands understanding of CDR and customer behavioral responses while providing both theoretical and practical insights.","PeriodicalId":13744,"journal":{"name":"International Journal of Contemporary Hospitality Management","volume":"10 1","pages":"2912-2930"},"PeriodicalIF":11.1,"publicationDate":"2026-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148899354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"NanoMindfulness at work: seconds-long awareness under pressure","authors":"Van Kien Pham,Le Phuong Giao Linh","doi":"10.1108/ijchm-12-2025-1874","DOIUrl":"https://doi.org/10.1108/ijchm-12-2025-1874","url":null,"abstract":"Purpose This study aims to introduce NanoMindfulness as a seconds-long, intentional act of present-moment awareness enacted within ongoing service tasks. This study examines how this demand-triggered attentional recalibration is associated with frontline employees’ stress, well-being, emotion regulation, resilience and service performance. Design/methodology/approach Using the Job Demands-Resources model and attention, micro-recovery and self-regulation perspectives, this study analyzes survey data from 500 frontline employees and supervisor-rated performance assessments from luxury hotels in Vietnam. The NanoMindfulness scale was developed through interviews, expert review, pilot testing, exploratory factor analysis and confirmatory factor analysis. Structural equation modeling tested construct validity and direct, indirect and serial associations. Findings The results of this study show that NanoMindfulness is distinct from formal mindfulness, informal mindfulness, state mindfulness, micro-break recovery and emotion regulation. Job demands are positively associated with NanoMindfulness, consistent with demand-triggered coping activation. NanoMindfulness is associated with lower stress and higher well-being, emotion regulation, resilience and supervisor-rated service performance. Indirect results support a serial resource-cascade interpretation, while the cross-sectional design precludes causal claims. Practical implications The findings of this study show that service organizations can protect employee functioning by legitimizing brief, non-disruptive attentional resets during service delivery. Managers should treat NanoMindfulness as a naturally occurring self-regulatory resource, not as a mandated program or substitute for reducing excessive job demands. Originality/value This study conceptualizes and validates NanoMindfulness as an ultra-brief, task-embedded personal resource that can be activated under pressure without role disengagement. This study extends mindfulness and Job Demands-Resources research by specifying how attentional resources may operate within seconds during service work.","PeriodicalId":13744,"journal":{"name":"International Journal of Contemporary Hospitality Management","volume":"10 1","pages":"2796-2815"},"PeriodicalIF":11.1,"publicationDate":"2026-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148899350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AI collaboration and quality of work life: a dual perspective of hotel employees’ perceptions","authors":"Wen-Yan Duan,Tung-Ju Wu,Zhuo-Jie Yang","doi":"10.1108/ijchm-11-2025-1670","DOIUrl":"https://doi.org/10.1108/ijchm-11-2025-1670","url":null,"abstract":"Purpose The growing prevalence of artificial intelligence (AI) integration in hotel services underscores the urgency of promptly analyzing hotel employees’ appraisals on AI collaboration. Drawing from the cognitive appraisal theory (CAT), we developed a dual-path model linking employee-AI collaboration with hotel employees’ quality of work life. This study aims to investigate the positive and negative evaluations of AI collaboration and the boundary role of employees’ perceived AI characteristics within this model. Design/methodology/approach Four studies – a pilot study (n = 101), a scenario experience (n = 265), a three-wave survey (n = 270) and a qualitative interview (n = 15) – were conducted to validate the theoretical model. Findings The results showed that psychological availability and expectation-disconfirmation mediated the relationship between employee-AI collaboration and quality of work life, respectively, along with emotional exhaustion. Perceived intelligence helps increase hotel employees’ psychological availability and decreases their expectation disconfirmation. Research limitations/implications This research reveals the double-edged sword effect of AI collaboration on individuals’ cognitive appraisals, deepening the understanding of AI-driven work processes in the hospitality industry. It calls upon managers to establish detection and intervention mechanisms, attend to AI’s limitations and provide resource support for employees. Originality/value This study provides theoretical insights into the employee evaluation process behind AI collaboration in the hotel industry and offers practical guidance for promoting harmonious human-AI interactions in hotel workplaces.","PeriodicalId":13744,"journal":{"name":"International Journal of Contemporary Hospitality Management","volume":"131 1","pages":"2874-2892"},"PeriodicalIF":11.1,"publicationDate":"2026-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148899364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Who leads? Unpacking the effects of generative AI–employee collaboration on job satisfaction","authors":"Pengyi Shen,Xianye Liu,Jinan Xu","doi":"10.1108/ijchm-12-2025-1778","DOIUrl":"https://doi.org/10.1108/ijchm-12-2025-1778","url":null,"abstract":"Purpose With generative artificial intelligence (GenAI) increasingly embedded in hotel service processes, human–AI collaboration is shifting from simple automation to cognitive collaboration. Yet it remains unclear whether generative AI empowers employees or creates psychological challenges. Drawing on self-determination theory, social cognitive theory and regulatory focus theory, this study aims to develop a theoretical model examining the effects of GenAI–employee collaboration (employee-led vs GenAI-led) on hotel employees’ job satisfaction. Design/methodology/approach This study conducted two scenario-based experiments and one field experiment. Study 1 tested the main effect of GenAI-employee collaboration on job satisfaction and the mediating role of AI self-efficacy. Study 2 used a field experiment across three hotels with different star ratings to test the robustness and external validity of the findings. Study 3 adopted a 2 × 2 between-subjects design to examine the moderating role of work regulatory focus and the moderated mediation mechanism. Findings This study demonstrates that employee-led collaboration leads to higher job satisfaction than GenAI-led collaboration. AI self-efficacy mediates the relationship between collaboration type and job satisfaction. Work regulatory focus further moderates these effects. Promotion-focused employees report higher AI self-efficacy and job satisfaction under employee-led collaboration, whereas prevention-focused employees report higher AI self-efficacy and job satisfaction under GenAI-led collaboration. Practical implications Hotels should align generative AI workflows with task characteristics and employees’ motivational orientations. Employee-led collaboration is better suited to complex service tasks, while GenAI-led collaboration is better suited to standardized tasks. Managers should also enhance employees’ AI self-efficacy through scenario-based training and feedback. Originality/value This study shifts attention from whether generative AI is used to who leads GenAI-employee collaboration. It identifies AI self-efficacy as a key mechanism and work regulatory focus as a boundary condition. It also deepens understanding of human-technology fit in GenAI-employee collaboration.","PeriodicalId":13744,"journal":{"name":"International Journal of Contemporary Hospitality Management","volume":"51 1","pages":"2755-2775"},"PeriodicalIF":11.1,"publicationDate":"2026-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148899352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"When AI improves and impairs performance: role stress and regulatory focus in service work","authors":"Xiaojun Wu,Yingji Zhang,Chiyin Chen","doi":"10.1108/ijchm-07-2025-1101","DOIUrl":"https://doi.org/10.1108/ijchm-07-2025-1101","url":null,"abstract":"Purpose This study aims to investigate how artificial intelligence technology integration (AITI) affects employees’ task performance through two distinct role-stress mechanisms – role conflict and role overload – and whether these relationships vary according to employees’ chronic regulatory focus (CRF). Design/methodology/approach An explanatory sequential mixed-methods design was adopted. First, a two-wave survey was conducted among hotel employees and their supervisors to test the hypothesized model quantitatively. Second, a follow-up qualitative case study based on semi-structured interviews was used to further interpret the quantitative findings in real service settings. Findings AITI was found to enhance task performance by increasing role overload, while simultaneously impairing task performance through increased role conflict. Moreover, CRF moderated the effects of AITI on both forms of role stress. Compared with promotion-focused employees, prevention-focused employees experienced stronger effects of AITI on role conflict and role overload, resulting in stronger indirect effects on task performance. Practical implications Managers should move beyond a purely efficiency-driven approach to AI adoption and pay closer attention to employees’ role perceptions and motivational orientations. Organizations should reduce AI-related role conflict through clearer role design, training and support, while channeling manageable role overload into learning, adaptation and performance improvement. Tailored management practices for prevention- and promotion-focused employees may further enhance AI implementation outcomes. Originality/value This study offers a novel explanation of how AITI simultaneously improves and impairs task performance by uncovering two contrasting role-stress mechanisms. By integrating role theory and regulatory focus theory in a mixed-methods design, it provides a richer understanding of employee–AI interaction in service work.","PeriodicalId":13744,"journal":{"name":"International Journal of Contemporary Hospitality Management","volume":"74 1","pages":"2649-2671"},"PeriodicalIF":11.1,"publicationDate":"2026-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148899357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"When AI supervises humans: how AI management triggers self-objectification and undermines proactive behavior","authors":"Weina Yu,Xiaoyu Hou,Xuran Zhang","doi":"10.1108/ijchm-11-2025-1679","DOIUrl":"https://doi.org/10.1108/ijchm-11-2025-1679","url":null,"abstract":"Purpose The integration of artificial intelligence (AI) into daily operations and management has become increasingly prevalent within the hospitality industry. However, the impact of transitioning managerial roles from humans to AI on hotel employees’ cognition and work behavior remains an unresolved issue. This paper aims to examine the relationship between AI management and proactive work behavior by identifying self-objectification as a mediator and AI identity as a moderator. Design/methodology/approach This research uses self-determination theory to investigate this phenomenon through two scenario-based experiments (Studies 1 and 2) involving a total of 328 hotel employees. Findings The findings from Study 1 indicate that AI management, compared to human management, positively predicts self-objectification among employees. Additionally, the influence of AI management on self-objectification is moderated by AI identity, with employees possessing a strong AI identity being less susceptible to self-objectification. Study 2 corroborates these findings and further reveals the mediating role of self-objectification in the relationship between AI management and proactive work behavior. Practical implications The logistic regression results reveal that employees managed by AI are only half as likely to engage in proactive work behavior as those managed by humans. To address this challenge, it is imperative for hotels to cultivate an environment in which employees feel both empowered and valued by implementing AI identity training and employee development programs. Originality/value This study, based on self-determination theory, elucidates how AI management influences proactive work behaviors, contributing to the existing literature and offering new perspectives for the hospitality industry to enhance proactive work behaviors among hotel employees.","PeriodicalId":13744,"journal":{"name":"International Journal of Contemporary Hospitality Management","volume":"77 1","pages":"2672-2688"},"PeriodicalIF":11.1,"publicationDate":"2026-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148947045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Metaverse innovation pathways: a topic modelling and patent analysis","authors":"Pratik Tarafdar,Soumyatanu Mukherjee,Sayan Mukherjee,Anil Bilgihan","doi":"10.1108/ijchm-11-2025-1695","DOIUrl":"https://doi.org/10.1108/ijchm-11-2025-1695","url":null,"abstract":"Purpose This study aims to examine how scholarly discourse and technological innovation around the metaverse have developed in tourism and hospitality. This study compares academic publications and granted patents to identify where research and innovation align, diverge and temporally precede one another. Design/methodology/approach This study analyses 4,102 Scopus-indexed publications and 729 globally granted patents from 2020 to 2024. Latent Dirichlet Allocation topic modelling is used to identify thematic structures, while curve similarity measures and Granger-causality tests are used to examine temporal alignment and predictive precedence between publication and patent topics. Findings The analysis identifies 12 topics grouped into three broad clusters: enabling technologies and infrastructure, immersive experience and adoption dynamics and governance, application and contextual deployment. Patents are concentrated in deep learning, recommender systems, spatial reconstruction and hardware architectures, whereas publications focus more strongly on user experience, behavioural adoption, governance, sustainability and socio-cultural implications. Temporal results reveal topic-specific technology-push, research-pull and bidirectional patterns, indicating selective rather than uniform science-technology coevolution. Originality/value This study contributes a dual-lens topic modelling and patent-based account of metaverse innovation. This study advances socio-technical systems theory by showing that metaverse development follows differentiated, asynchronous and topic-contingent pathways rather than a single linear trajectory from research to innovation or from technology to scholarship.","PeriodicalId":13744,"journal":{"name":"International Journal of Contemporary Hospitality Management","volume":"30 1","pages":"2714-2735"},"PeriodicalIF":11.1,"publicationDate":"2026-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148947046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fostering eco-friendly behaviors in hospitality: engaging customers through green practices, social influence, and personal dynamics","authors":"Mahnaz Mansoor, Farooq Ahmed Jam, Tariq Iqbal Khan","doi":"10.1108/ijchm-07-2024-1023","DOIUrl":"https://doi.org/10.1108/ijchm-07-2024-1023","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>This study aims to delve into the intricate dynamics of customers’ pro-environmental behavior, examining the impact of external stimuli like hotel green practices (as contextual factors); internal stimuli, i.e. perceived consumer effectiveness, perceived environmental responsibility and pro-environmental self-identity (as individual factors); and social norms as social factors, on customers’ engagement in sustainable consumption (CEISC) and subsequent pro-environmental behaviors (PEBs).</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>An age-based quota sampling technique was used to gather data from customers visiting hotels in Pakistan. SmartPLS v.4 software was used to analyze the data, applying structural equation modeling and testing for the predictive powers of the model.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>The results revealed the significant impact of both external and internal stimuli on customers’ PEBs, with higher impacts of hotel green practices and pro-environmental self-identity, underlining the complex nature of these influences. Results also revealed that social norms augment the influence of extrinsic and intrinsic factors on CEISC.</p><!--/ Abstract__block -->\u0000<h3>Practical implications</h3>\u0000<p>Hotels can enhance customer engagement by implementing green practices. In addition, leveraging social norms and tailoring communication strategies to highlight collective benefits can further amplify PEBs among guests.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>This research provides a pioneering theoretical contribution by integrating the stimulus-organism-response model, the theory of planned behavior and the value-belief-norm theory in the realm of green consumerism in the hotel industry. It also addresses the potential gap linked to hotel green practices in leveraging customers’ PEBs in addition to their positive perceptions.</p><!--/ Abstract__block -->","PeriodicalId":13744,"journal":{"name":"International Journal of Contemporary Hospitality Management","volume":"58 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143569419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unpacking the eco-friendly path: exploring organizational green initiatives, green perceived organizational support and employee green behavior","authors":"Mohammad Rabiul Basher Rubel, Daisy Mui Hung Kee, Nadia Newaz Rimi","doi":"10.1108/ijchm-03-2024-0460","DOIUrl":"https://doi.org/10.1108/ijchm-03-2024-0460","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>This study aims to investigate the impact of green perceived organizational support (GPOS) on employee green behavior (EGB), encompassing both task-related and voluntary behaviors. It explores direct and indirect effects through green knowledge sharing (GKS) and green creativity while considering organizational green initiatives across five dimensions as potential antecedents of GPOS.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>Data were collected using a survey questionnaire distributed to front-line employees working in hotels in Bangladesh. The analysis was conducted using SmartPLS 4.0.9 on responses from 486 participants.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>The results indicate that all dimensions of organizational green initiatives, except for top management’s environmental concerns, have a positive relationship with GPOS. GPOS positively influences GKS, green creativity and task-related green behaviors, but not voluntary green behaviors. GKS and green creativity mediate the relationship between GPOS and EGB.</p><!--/ Abstract__block -->\u0000<h3>Practical implications</h3>\u0000<p>The findings serve as a guide for management to devise effective strategies that encourage employees’ positive engagement with the environment and strengthen their contributions to organizational green initiatives. The research reveals the importance of employees’ green creativity and GKS, enabling organizations to leverage these aspects for sustainable development.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>The research sheds light on the dual pathways through which GPOS influences EGB, distinguishing between task-related and voluntary behaviors, and highlights the mediating roles of GKS and green creativity.</p><!--/ Abstract__block -->","PeriodicalId":13744,"journal":{"name":"International Journal of Contemporary Hospitality Management","volume":"97 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143575224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing intellectual experiences for users: a multidimensional model of humanoid service robots in hospitality and tourism","authors":"Mengting Wu, Wai Tsz Serene Tse, Vincent Wing Sun Tung","doi":"10.1108/ijchm-06-2024-0821","DOIUrl":"https://doi.org/10.1108/ijchm-06-2024-0821","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>Intellectual experiences focus on users’ information processing and critical thinking toward stimuli. The deployment of humanoid service robots as novel stimuli in tourism and hospitality has influenced users’ perceptions and may affect their intellectual engagement. This paper aims to connect four contemporary theoretical concepts: the service robot acceptance model, technological fear, the uncanny valley theory and the stereotype content model, to investigate users’ perceptions and intellectual experiences toward humanoid service robots.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>Scale development procedures were conducted: literature review, checking face and content validity, factorizing items and dimensions, achieving construct and criterion validity and testing predictive validity.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>Through literature review and free-response tasks, 43 measurement items were generated. Next, 1,006 samples from two cross-cultural groups refined the scale. Finally, a reliable and valid scale with four dimensions measuring users’ perceptions of humanoid service robots was determined.</p><!--/ Abstract__block -->\u0000<h3>Practical implications</h3>\u0000<p>Humanoid service robots should be designed to enhance functionality and innovativeness while minimizing stiffness, inflexibility, unsafety and danger to improve users’ intellectual engagement.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>This study provides a novel examination of users’ intellectual experiences toward humanoid service robots by connecting four contemporary theories of users’ perceptions. This study enriches human–robot experience through an integrated perspective and presents a rigorous examination of the scale’s psychometric properties. A reliable and valid scale for measuring users’ perceptions toward humanoid service robots fills the gaps and serves as an effective predictor of intellectual experience in human–robot literature.</p><!--/ Abstract__block -->","PeriodicalId":13744,"journal":{"name":"International Journal of Contemporary Hospitality Management","volume":"11 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143560608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}