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This study examines the temporal dynamics of consumer attitudes, perceived value and purchase intentions toward green agricultural foods, addressing critical gaps in the literature on sustainable consumption behaviours. It emphasises the mediating role of perceived value and its evolution over time, offering insights into consumer decision-making processes.

A longitudinal design was adopted, collecting data through structured questionnaires from primary household food purchasers in northern Taiwan at baseline, three months and six months. Analytical techniques, including multiple regression, mediation analysis and repeated measures ANOVA, were employed to examine relationships and track changes over time.

The results reveal that consumer attitudes positively influence perceived value, which fully mediates the relationship with purchase intentions. Temporal analysis indicates significant increases in perceived value and purchase intentions over six months, demonstrating that sustained exposure to green agricultural foods reinforces consumer commitment and pro-environmental behaviours. Attitudes alone do not directly predict purchase intentions without the mediation of perceived value, highlighting the critical role of perceived benefits in driving long-term sustainable consumption.

This study provides actionable insights for enhancing the perceived value of green agricultural foods. Businesses should prioritise health and environmental benefits, while policymakers can design campaigns and incentives to promote sustainable dietary habits, aligning with Sustainable Development Goal 12.

By exploring the mediating role of perceived value in transforming positive consumer attitudes into purchase intentions, this study highlights how perceived value, shaped by health and environmental benefits, drives consumer behaviour. These findings contribute valuable insights for enhancing market appeal and supporting sustainable food marketing strategies.

This paper examines the framing of digital transformation. The research questions are specified as follows: what are the different types of framing strategies in response to digital transformation? How do the strategies differ across organizations? Theoretically, the authors draw on the framing perspective to emphasize the use of linguistic frames in shaping innovation and change processes. Empirically, the authors choose to study the Taiwanese sectors, including publicly governed entities, traditional private business or technology-based ventures.

The authors’ approach combines topic modeling and qualitative analysis. Using data collected from newspaper and magazine articles, the authors employ topic modeling to generate a set of distinctive framings that Taiwanese actors typically adopt to motivate and justify their digital move. The authors also conduct personal interviews to qualitatively complement the authors’ topic modeling analysis and to identify the rationale behind the linguistic framings and the strategic differences brought about by the various organizations.

The authors identify five topics that the Taiwanese actors commonly used in the framing of digital transformation. These topics or frames are labeled as cross-domain coordination, market demand, intelligent technology, global trend and competition and digital innovation. The practical use of the framings is contingent on organizational characteristics. Furthermore, the authors show how the framings can be classified as either positive framing (e.g. winning the next war) or negative framing (e.g. innovate or die), generally applicable to organizations around the world struggling to cope with digital disruption.

The authors’ study has two research implications. First, the authors extend the appreciation of the digital transformation from the usual concern with technological and business model innovations to linguistic or framing practices. Second, the authors enrich the framing analysis by emphasizing a practice or contingency perspective based on sector difference. The findings are subject to the limitations of the choice of only established and reputable media outlets, the diatextual reading and filtering of useful articles for topic modeling analysis and the use of world frequency to account for frame significance.

The authors shift actors' attention from improving technical efficiency to acquiring linguistic resources in the pursuit of digitalization. For example, framing the digital transformation in terms of creating a market orientation calls for not only real consumer power but also strategic discursive competence that enables the move to change. The findings also point out that practitioners can enlarge the scope of their agency rather than being trapped in the habituated routine of practices. Despite social embeddedness, organizations are more often widely connected and built enough to call for more of the cognitive frames to appeal to heterogeneous stakeholders.

The authors study contributes to the literature by developing a linguistic or socio-cognitive view of digital transformation strategy that is capable of expanding organizational attention toward change and innovation. The authors explore menus of strategic frames employed by actors in response to digital transformation. We also address the application of a machine-learning tool such as topic modeling to explore the socio-cognitive dimensions of digital transformation. Furthermore, the analysis leads us to identify the outcomes or effects – either positive or negative – that move beyond the particular Taiwanese case to explain the framing of digital transformation in general.

This study aims to examine the causal and reciprocal relationships between participation in travel and recreational activities and depression alleviation among survivors of traumatic events. It seeks to uncover the transformative potential of these activities as nonpharmacological interventions and to provide insights that inform the therapeutic design of travel in rehabilitation contexts.

Using a longitudinal dataset, this study employs the random intercept cross-lagged panel model – a robust technique for evaluating causal relationships in nonexperimental longitudinal research – to assess the reciprocal effects between travel and recreation participation and depression severity over time.

Individuals with more severe depression are more likely to engage in travel as a coping mechanism. However, travel does not inherently alleviate depressive symptoms, likely because its physical and emotional demands often outweigh its benefits. This highlights the need to transform travel into structured interventions to maximize therapeutic potential. In contrast, recreational activities exhibit a stronger therapeutic effect, with early participation reducing depressive symptoms and lower depression levels, subsequently encouraging continued engagement in recreation over time.

By highlighting the interplay between social causation and social withdrawal theories, this research proposes transforming travel experiences into structured therapeutic interventions, pioneering a new perspective on integrating health and tourism studies. The study encourages researchers to adopt a holistic approach to understanding the health benefits of travel, considering both the influence of external factors on health and how individuals respond to their psychological state.

本研究旨在深入探讨创伤事件幸存者参与旅行与娱乐活动与抑郁症状缓解之间的因果和相互作用关系, 旨在揭示这些活动作为非药物干预的潜在疗效, 并为康复场景下旅行的治疗性设计提供理论依据和实践参考。

本研究利用纵向数据集, 采用随机截距交叉滞后面板模型（RI-CLPM）进行分析。该方法是一种适用于非实验性纵向研究的模型工具, 能够有效评估旅行与娱乐活动参与和抑郁严重程度之间的双向动态影响。

研究发现, 抑郁程度较高的个体更倾向于将旅行作为一种应对机制。然而, 由于旅行活动的身体与情感成本通常超过其潜在收益, 旅行本身并未显著缓解抑郁症状。这表明, 需要将旅行体验转化为结构化的治疗干预, 以充分发挥其潜在价值。相较而言, 娱乐活动表现出更显著的治疗作用。早期参与娱乐活动能够有效降低抑郁症状, 而抑郁水平的降低反过来又会激励个体持续参与娱乐活动, 从而形成良性循环。

本研究通过结合社会因果理论和社会退缩理论, 提出了有必要将旅行体验转化为结构化治疗干预的新视角, 为健康与旅游研究的整合提供了新的理论创新路径。同时, 本研究倡导从整体视角理解旅行的健康益处, 兼顾外部环境对健康的影响以及个体心理状态对行为的反馈作用, 为未来研究提供了重要启示。

Este estudio tiene como objetivo examinar las relaciones causales y recíprocas entre la participación en actividades de viaje y recreación y el alivio de la depresión entre los sobrevivientes de eventos traumáticos. Busca descubrir el potencial transformador de estas actividades como intervenciones no farmacológicas y proporcionar ideas que informen el diseño terapéutico de viajes en contextos de rehabilitación.

Utilizando un conjunto de datos longitudinales, este estudio emplea el Modelo de Panel Cruzado con Intercepto Aleatorio (RI-CLPM), una técnica robusta para evaluar relaciones causales en investigaciones longitudinales no experimentales, para analizar los efectos recíprocos entre la participación en viajes y recreación y la gravedad de la depresión a lo largo del tiempo.

Las personas con depresión más severa tienden a participar en viajes como mecanismo de afrontamiento. Sin embargo, el viaje en sí no alivia inherentemente los síntomas depresivos, probablemente porque sus demandas físicas y emocionales suelen superar sus beneficios. Esto resalta la necesidad de transformar los viajes en intervenciones terapéuticas estructuradas para maximizar su potencial. En contraste, las actividades recreativas muestran un efecto terapéutico más fuerte, con una participación temprana que reduce los síntomas depresivos y niveles más bajos de depresión que fomentan la participación continua en recreación a lo largo del tiempo.

Al destacar la interacción entre las teorías de causalidad social y retirada social, esta investigación propone transformar las experiencias de viaje en intervenciones terapéuticas estructuradas, abriendo una nueva perspectiva para integrar estudios de salud y turismo. El estudio fomenta que los investigadores adopten un enfoque holístico para comprender los beneficios de salud de los viajes, considerando tanto la influencia de factores externos en la salud como cómo las personas responden a su estado psicológico.

This study aims to identify the key characteristics of tourism live streamers (TLSers) that influence target consumers and examine how these characteristics enhance destination brand value by stimulating consumer emotional engagement and value co-creation behaviors.

A questionnaire survey was conducted with 552 respondents who had viewed tourism live streaming in China. The data were analyzed using structural equation modeling.

The results revealed that TLSers’ expertise had the strongest influence on consumers and positively affected their attachment, trust, participation and citizenship behaviors and perceived destination brand value. Attractiveness and trustworthiness exerted positive but weaker effects on these variables.

This study contributes to the theoretical development of live-streaming research by demonstrating the distinct impacts of TLSer characteristics. Furthermore, this study expands the application of the social exchange theory and value co-creation in tourism research.

本研究旨在确定影响目标消费者的旅游直播主（TLSers）的关键特征, 并检验这些特征如何通过激发消费者情感参与和价值共创行为来增强目的地品牌价值。

对在中国观看过旅游直播的552名受访者进行了问卷调查, 采用结构方程建模分析数据。

研究结果显示, TLSers的专业知识对消费者影响最大, 并积极影响他们的情感依恋、信任、参与和公民行为, 以及感知的目的地品牌价值。吸引力和可信度对这些变量的影响较弱但也是积极的。

本研究通过展示TLSer特征的独特影响, 对直播研究的理论发展做出了贡献。此外, 本研究扩展了社会交换理论和价值共创在旅游研究中的应用。

This study aims to explore the relationship between elderly users' trust in public digital cultural services (PDCS) and their intention to use PDCS, and reveal the factors affecting their intentions from the perspective of trust to make recommendations that will increase their intention to use PDCS.

Combined with the trust building model and social exchange theory, this study constructed a conceptual model of elderly users' intention to use PDCS. Data collected from Chinese elderly users who have reached the age of 60 through questionnaire surveys were tested using the structural equation model with partial least squares. Finally, the authors proposed a model of elderly users' intention to use PDCS.

This study finds that elderly users' trust positively affects their intention to use PDCS from two aspects: service features and user features of PDCS. Concerning the service features, system quality directly affects elderly users' trust in PDCS most significantly, followed by information quality and service reputation. Concerning the user features, perceived value has a higher impact on elderly users' trust than that of service features, and information literacy and information quality directly affect perceived value.

This study adds new knowledge to the users' behavior of PDCS and enriches the prior description of PDCS. The recommendations made in this study provide a series of strategies for practitioners and researchers to improve the elderly users' intention to use PDCS and bridge the silver digital divide, which offers new ideas for improving the efficiency of PDCS.

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 provide a timely review of hospitality and tourism live streaming (HTLS) research, aiming to understand the intellectual foundation in the past and identify opportunities for future research.

This study collected 56 papers from journals in the Social Science Citation Index database or the Australian Business Deans Council journal quality list and adopted a hybrid systematic literature review combining bibliometric analysis and the theory-context-characteristics-method framework-based approach. Additionally, a cross-tabulation analysis was conducted to compare the research on two specific forms of HTLS – tourism e-commerce live streaming (TEcLS) and travel live streaming.

The study found that the current research lacks in-depth theoretical insights, focuses on China as the national context and viewers as the research subject, mainly uses online surveys and lacks first-order knowledge. Moreover, it identified five research themes, including the impact of HTLS on viewer behavior, purchase behavior in HTLS and introduction of HTLS, within which eight categories of research constructs, such as viewer-related, streamer-related and relationship-related, are applied.

In terms of research, the study reveals various gaps in the existing literature and provides potential research directions to advance the field. As for practice, it offers valuable strategies for practitioners to optimize their marketing efforts using HTLS.

This study provides an up-to-date review of the HTLS field through a systematic and reproducible method. It offers critical discussions and suggestions for academic research and industry practices.

The purpose of this study is to investigate the influence of rotational speed on the oil film stability of the hydrostatic rotary table having double rectangular oil pads. The oil film stability is evaluated based on the oil film stiffness under constant load condition and the displacement response amplitude of the oil film under disturbance load condition.

The oil film stability theoretical equations of the double rectangular oil cavity are deduced such as oil film stiffness, damping and dynamic equations. A simulation model is developed to analyze the relationship among oil film temperature, oil film pressure fields and oil film stability. The user-defined function programs are used to control the rotational speed, lubricant viscosity and oil film thickness during the simulation. In addition, an experimental rig is built to test the simulation results.

This study shows that oil film stability decreases with increasing rotational speed under constant load and disturbance load. The trend of oil film stability decreased slowly within 30 r/min, and then rapidly. However, since the hydrodynamic pressure effect, the decrease rate of stability is mitigated under constant load and high rotational speeds.

The conclusions can provide a theoretical basis for improving the oil film stability of machines with similar hydrostatic support structure.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-07-2024-0267/

Developing technological capabilities to enhance innovation performance is essential for firms to respond to external changes and competition. Based on the effect of organizational structure on organizational capability development, this study assesses whether a specific R&D organizational structure design can be used to develop different technological capabilities.

Combining organizational theory and the resource-based view as an integrated view, we propose several contrasting hypotheses to show the effects of three general R&D organizational structure designs (centralized, decentralized, and hybrid) on developing exploitative and explorative capabilities. We propose R&D slack as a moderator. 82 Taiwanese listed manufacturing firms were selected. Data on the firms' annual reports and their patent applications to the Taiwan Patent Office from 2005 to 2017 were collected.

Firms’ adoption of centralized and decentralized R&D structures has a significant positive effect on developing exploitative capability and an opposite effect on developing explorative capability. A high or low R&D slack can moderate the impact of R&D organizational structure on non-routine capability development.

This study concludes that R&D organizational structure affects the development of different technological capabilities and that the effect of R&D organizational structure on the development of technological capabilities can be changed under the moderation of R&D slack, which means that the possibility of developing different technological capabilities under the same organizational structure will increase.

The top manager should consider the relationship between R&D structure design and technological capability development to manage the R&D routines to influence the generation of technological capabilities. Also, they must utilize the provision of R&D slack to modulate technological capability development.

This study reexamines the relationship between organizational structure and capability development. It shows that organizational structure can shape unique technological capabilities and that firms may be able to change structural elements through slack resources, enabling ambidexterity or dynamic capability development without organizational change.

Characterised by simultaneous food waste and shortages, our current food system is far from sustainable. Industry 4.0 has responded with technology-enabled innovations, including digital food-sharing platforms aimed at facilitating the efficient redistribution of surplus food. However, potential users often express reluctance to adopt such platforms, prompting this study to explore the underlying reasons for their hesitations.

This study was conducted in China, the world’s largest platform economy, where food-sharing platforms are notably absent. Using a vignette-based qualitative approach, semi-structured interviews were conducted with 35 potential users. The data were analysed through thematic analysis to uncover insights into adoption intentions.

The findings highlight the relevance of factors identified in existing technology acceptance theories, such as performance expectancy, effort expectancy, social influence, hedonic motivation, facilitating conditions and price value, in shaping adoption intentions. Additionally, content-specific and context-specific factors – such as trust in other users and the platform, concerns about “losing face” (mianzi) and safety concerns during the pandemic – emerged as critical influences on users' decisions to engage with these platforms.

This study contributes to scholarly discussions on enhancing the effectiveness of new technological innovations for food supply chain sustainability. The theoretical contributions expand the technology acceptance literature by incorporating factors related to platform service content and operating context.