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This study examines the relationship between guanxi human resource management (HRM) practices and psychological withdrawal behavior and its mechanism, and examines the mediating role of psychological contract breach and the moderating role of employee resilience.

This study collected 287 three-stage questionnaires from 62 teams from public institutions, large state-owned enterprises and private enterprises in Sichuan Province, and used regression analysis, PROCESS and Amos structural equation model to test the research hypothesis.

Guanxi HRM practices positively influenced the employees’ psychological withdrawal behavior, and psychological contract breach played a mediating role in the relationship. Employee resilience not only moderated guanxi HRM practice and psychological contract breach but also moderated the mediating effect of psychological contract breach between guanxi HRM practice and psychological withdrawal behavior.

This study revealed the impact of guanxi HRM practices on employees’ psychological withdrawal behavior, which often serves as an early indicator of mental health issues. This finding has important implications for the research on relation-oriented HRM practices.

Smart tourism is undergoing a trend of rapid development. The quality of service in smart tourism forms the basis of tourists’ evaluations, it needs to be investigated. However, as high-quality smart tourism technologies (STTs) can enhance the overall tourist experience and increase tourist satisfaction, and there is no standard service quality evaluation system for STTs. Therefore, this study aims to explore how the quality of STTs is evaluated from the tourist’s perspective.

In this study, the authors develop a measurement scale for smart tourism technology quality (STTQUAL) based on qualitative interviews, the Delphi method and a survey conducted in three cities that use smart tourism: Macau, Chengdu and Hangzhou.

The STTQUAL scale encompasses 37 measurement items in 7 dimensions: functionality, security, informativity, reliability, responsiveness, convenience and empathy. These dimensions encompass both technical and nontechnical aspects of service.

This study enriches the smart tourism research literature, provides a reference for future research and helps relevant stakeholders understand tourists’ views on STTQUAL. Recommendations are provided to governments, the tourism industry and system developers for how to proceed in future development.

This is a mixed-methods study that fulfills established logical research criteria and proposes a scale for evaluating STTQUAL. The scale is validated through exploratory factor analysis and confirmatory factor analysis.

智慧旅游正经历快速发展的趋势, 其服务质量构成了游客评价的基础, 因此需要进行深入研究。然而, 由于高质量的智慧旅游技术（STTs）可以提升游客的整体体验并提高满意度，目前尚未有针对智慧旅游技术STTs的标准服务质量评价体系。因此，本研究旨在探讨如何从游客的角度理解STTs质量的评价方式。

本研究基于定性访谈、德尔菲法以及在澳门、成都和杭州三座智慧旅游城市进行的问卷调查, 开发了一套智慧旅游技术质量（STTQUAL）测量量表。

STTQUAL量表涵盖了7个维度的37项测量指标, 包括功能性、安全性、信息性、可靠性、响应性、便利性和同理心。这些维度综合了服务的技术和非技术方面。

本研究丰富了智慧旅游研究文献, 为未来研究提供了参考, 并帮助相关利益相关者理解游客对STTQUAL的看法。研究为政府、旅游业和系统开发者在未来发展中的行动提供了建议。

本研究采用混合研究方法, 符合既定的逻辑研究标准, 并提出了一套用于评估STTQUAL的量表。通过探索性因子分析和验证性因子分析对量表进行了验证。

Health short videos are serving as a powerful tool for encouraging individuals to actively adopt healthier behaviors. The sensory cues applied in these videos can be useful for engaging peripheral processing and enhancing attitudes. While previous research has examined the effects of various single cues, this study features a pioneering attempt to explore the roles of audiovisual cross-modal correspondence, encompassing multisensory cues perceived through different modalities, in health communication.

A 2 (color: warm/cool) × 2 (music tempo: fast/slow) between-subjects experiment was conducted to observe 120 participants’ responses to a health short video promoting eye health that was created using four different combinations of background color and background music tempo.

It was found that the congruent color–tempo pairings, that is blue & slow and orange & fast, led to more positive attitudes toward the videos than the incongruent pairings, that is blue & fast and orange & slow. The effect of cross-modal correspondence on attitude was fully mediated by processing fluency, with gender acting as a moderator between the two variables. Furthermore, individuals’ attitudes toward a short video positively influenced their health behavioral intentions.

These findings not only lend support to the theoretical framework of “multisensory cues-fluency-attitude-intention” chain for persuasion purposes but also have practical implications for creating effective health short videos.

Social media have escalated the frequency and intensity of brands’ online controversial events (OCEs), which differs conceptually from negative events. Despite this, there remains a scarcity of research exploring the nature of OCEs. This paper aims to investigate the impact of positive buzz on consumer engagement during OCEs.

Using 47,468 posts from two popular Chinese social media (i.e. Weibo and Zhihu), we employ a zero-inflated negative binomial regression and content analysis to test our hypotheses.

The results indicate that positive buzz informativeness and sentiment positively affect consumer engagement in online brand communities, moderated by community type and time-related factors. Expert communities (vs social communities) weaken main effects, while date distance strengthens them.

This study is the first to propose the nature of brand’s OCEs and explores how positive buzz affects consumer engagement, highlighting the moderating roles of community type and date distance. This paper contributes to literature on user-generated content (UGC), OCEs and dual process theory, offering valuable insights for brands, consumers and community owners.

Aspect category-based sentiment analysis (ACSA) has been widely used in consumer preference mining and marketing strategy formulation. However, existing studies ignore the variability in features and the intrinsic correlation among diverse aspect categories in ACSA tasks. To address these problems, this paper aims to propose a novel integrated framework.

The integrated framework consists of three modules: text feature extraction and fusion, adaptive feature selection and category-aware decision fusion. First, text features from global and local views are extracted and fused to comprehensively capture the potential information in the different dimensions of the review text. Then, an adaptive feature selection strategy is devised for each aspect category to determine the optimal feature set. Finally, considering the intrinsic associations between aspect categories, a category-aware decision fusion strategy is constructed to enhance the performance of ACSA tasks.

Comparative experimental results demonstrate that the integrated framework can effectively detect aspect categories and their corresponding sentiment polarities from review texts, achieving a macroaveraged F1 score (Fmacro) of 72.38% and a weighted F1 score (F1) of 79.39%, with absolute gains of 2.93% to 27.36% and 4.35% to 20.36%, respectively, compared to the baselines.

This framework can simultaneously detect aspect categories and corresponding sentiment polarities from review texts, thereby assisting e-commerce enterprises in gaining insights into consumer preferences, prioritizing product improvements, and adjusting marketing strategies.

This paper aims to provide a critical reflection on the experience design of the lifestyle communities in the hospitality and tourism industry. Specifically, this paper proposes a conceptual model that governs experience design in creating unique and memorable experiences for lifestyle communities.

This paper is based on a critical analysis of emerging phenomena, related literature and researchers’ experiences and insights.

The lifestyle community is conceptualized as a group of people who share a specific interest, value or activity and the type of its existence can be classified as physical, virtual or hybrid. As the importance of experience design has been highlighted in the hospitality and tourism industry, the study provides the guest experience design framework of lifestyle communities that suggests an operationalization of experience design that touches shared values of customers within lifestyle communities.

This study introduces a framework that highlights the role of experience design in the development of lifestyle communities, thereby enriching the emerging body of knowledge. Additionally, the research illustrates how lifestyle communities diverge from traditional hospitality business models by using distinctive positioning strategies.

This study provides practical implications on how to capture the growing number of customers represented by lifestyle communities in the future. A deep understanding of frameworks may be crucial to establishing the experience design of lifestyle communities to correspond to the future of the hospitality and tourism industry.

This study remarks an initial attempt to provide a critical reflection of a rising contemporary issue: experience design and lifestyle communities. Conceptualization through a profound reflection of the issue offers insights to define existing phenomena and suggestions to capture future opportunities and actual management. Furthermore, future research directions in hospitality and tourism are elucidated by the provided conceptual frameworks.

This study aims to examine the acceptance of adaptive learning (AL) amongst construction professionals in Singapore. It seeks to compare their perceptions and attitudes with those of professionals from other industries to assess the rate of AL adoption in the construction sector. Furthermore, the study aims to identify the factors influencing construction professionals’ intention to adopt AL technologies.

A questionnaire survey was conducted with 188 construction professionals and 153 non-construction professionals. By employing the extended unified theory of acceptance and use of technology (UTAUT2) and the general extended technology acceptance model for e-learning (GETAMEL), this study also explored factors influencing construction professionals’ behavioural intention (BI) towards AL adoption. An SEM-machine learning approach facilitated the evaluation of the factors’ influence on BI.

A comparative analysis of the data found that construction professionals’ intention to use AL surpassed 75%, which had no significant difference with professionals from other industries. The findings revealed that learning value (LV) and self-efficacy (SE) were statistically significant predictors of construction professionals’ intentions to use AL. Furthermore, a supervised machine learning analysis identified performance expectancy (PE) as a crucial factor in predicting these intentions.

The study’s focus on self-reported intentions and a specific demographic limits its generalisability; further research should examine actual usage across diverse cultures.

The results offered insights into construction professionals’ perceptions and attitudes towards AL adoption, guiding the integration of AL into construction professional development.

This paper addresses a recognised gap by examining construction professionals’ perceptions and attitudes towards adopting AL.

This study explores the spatial and temporal relationship between tourism activities and transportation-related carbon dioxide (CO₂) emissions in the United States (US) from 2003 to 2022 using advanced geospatial modeling techniques.

The research integrated geographic information systems (GIS) to map tourist attractions against high-resolution annual emissions data. The analysis covered 3,108 US counties, focusing on county-level attraction densities and annual on-road CO₂ emission patterns. Advanced spatial analysis techniques, including bivariate mapping and local bivariate relationship testing, were employed to assess potential correlations.

The findings reveal limited evidence of significant associations between tourism activities and transportation-based CO₂ emissions around major urban centers, with decreases observed in Eastern states and the Midwest, particularly in non-coastal areas, from 2003 to 2022. Most counties (86.03%) show no statistically significant relationship between changes in tourism density and on-road CO₂ emissions. However, 1.90% of counties show a positive linear relationship, 2.64% a negative linear relationship, 0.29% a concave relationship, 1.61% a convex relationship and 7.63% a complex, undefined relationship. Despite this, the 110% national growth in tourism output and resource consumption from 2003–2022 raises potential sustainability concerns.

To tackle sustainability issues in tourism, policymakers and stakeholders can integrate emissions accounting, climate modeling and sustainability governance. Effective interventions are vital for balancing tourism demands with climate resilience efforts promoting social equity and environmental justice.

This study’s innovative application of geospatial modeling and comprehensive spatial analysis provides new insights into the complex relationship between tourism activities and CO₂ emissions. The research highlights the challenges in isolating tourism’s specific impacts on emissions and underscores the need for more granular geographic assessments or comprehensive emission inventories to fully understand tourism’s environmental footprint.