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This study aims to investigate how different menu types trigger diners’ behavioral intentions in restaurants’ innovation diffusion from paper to digital menus.

Four menu types, namely, paper menus with text only, paper menus with text and images, digital menus that show text and images or text and video with self-service technological functionality, are designed to empirically examine a mental process through which perceived information quality, perceived food quality and perceived service quality influence diners’ behavioral intentions.

Based on the online survey data from 502 diners, results show that the menu design influences customers’ perceptions. The video-based digital menu is the most effective to generate diners’ behavioral intentions, followed by a paper menu with text and images.

This study contributes to the innovation diffusion theory and stimulus-organism-responses theory to encourage the joint use of auditory and visual channels for digital menu design in restaurants.

The authors confirm the digital transformation in menu design in restaurants. Restaurant diners are also prepared and comfortable with digital menus, especially in the postpandemic world.

本研究目的在于调查在餐厅从纸质菜单到数字菜单的创新扩散过程中, 不同菜单类型如何影响餐厅客人的行为意向。

通过设计并使用四种菜单类型, 分别为只有文本的纸质菜单、具有文本和图片的纸质菜单、显示文本和图片或文本和视频的数字菜单以及具有自助技术功能的数字菜单, 本研究以实证方法考察了感知信息质量、感知食品质量和感知服务质量如何影响餐厅客人的行为意向的心理过程。

根据对502名餐厅客人的在线调查数据显示, 菜单设计影响了客人的感知。基于视频的数字菜单是影响餐厅客人行为意向最有效的菜单类型, 其次是文本和图片的纸质菜单。

本研究表明应鼓励在餐厅数字菜单设计中同时使用听觉和视觉元素。因此, 为研究促进了创新扩散理论和刺激-有机体-反应理论的发展。

我们证实了数字菜单在餐厅菜单设计中的转型。餐厅客人, 尤其是在在后疫情时代, 已经准备好并愿意接受使用数字菜单。

This study aims to examine how the political career concerns of top executives affect corporate environmental practices.

Based on rent-seeking theory, this work uses empirical analysis to investigate the impact of top executives’ political connection and political promotion on corporate environmental information disclosure (EID). Data were collected from Chinese listed firms in heavily polluting industries in the Shanghai Stock Market in 2014–2016.

The results reveal that the highly politically connected top executives are more likely to be promoted in their political positions than their counterparts. However, the firms under the management of these highly politically connected executives show low level of EID. The results suggest that the political motivations of top executives with political connection hinders corporate EID.

This paper extends literature system about the impact of executives' rent-seeking on corporate EID by examining the informal mechanisms in terms of political connection and political promotion. It provides insights for studies of corporate environmental strategies and governmental environmental responsibility.

Examines the tenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

The purpose of this paper is to explore the correction mechanism of resilient safety culture on new generation of construction workers (NGCWs)' unsafe behavior and test the multiple mediation effects of job crafting and perceived work meaningfulness based on the context of Chinese construction industry in order to find a new way to effectively correct the NGCWs' unsafe behavior.

A theoretical model of correction mechanism was established based on literature research and theoretical deduction. An empirical study was employed based on confirmatory factor analysis and regression analysis with a sample of 404 NGCWs in China.

The results indicated that resilient safety culture can effectively correct NGCWs' unsafe behavior through job crafting and perceived work meaningfulness. Job crafting and perceived work meaningfulness can play independent and serial mediating roles between resilient safety culture and unsafe behavior.

Research results only represent a short-term law about the correction mechanism of NGCWs' unsafe behavior based on a questionnaire study from China's construction industry. It is necessary to continue to implement a longitudinal study to test it in a relatively long period in future research. The findings also need to be verified based on the young construction workers in other countries.

This study provides a theoretical basis and feasible management reference for construction enterprises in China to correct NGCWs' unsafe behavior from the perspective of resilient safety culture. Furthermore, the construction of resilient safety culture in construction enterprises can help NGCWs better carry out job crafting and perceive the meaning of work.

This paper clarifies the correction mechanism of resilient safety culture on unsafe behavior of NGCWs, and further tests the independent mediating roles and a serial mediating role of job crafting and perceived work meaningfulness between resilient safety culture and unsafe behavior, which fills the research gap about the influence mechanism of resilient safety culture on young construction workers' unsafe behavior and enriches the theoretical system of unsafe behavior correction of construction workers.

This study aims to propose and validate a research framework pertaining to the willingness to disclose information in the context of mobile banking apps. The interrelationships between privacy protection, perceived personalization, social presence, design aesthetics, consumer empowerment, parasocial interactions and privacy concerns are assessed as antecedents of willingness to disclose information.

Based on a self-administered survey, this study gathered data from 450 Chinese consumers. The data were analyzed using structural equation modeling via SmartPLS 4 software.

The findings indicate that (1) privacy concerns are negatively related to willingness to disclose information, (2) parasocial interaction reduces privacy concerns, (3) consumer empowerment is positively influenced by privacy protection and perceived personalization and (4) social presence and design aesthetics positively contribute to the formation of parasocial interaction.

The current study serves to reinforce a theoretical understanding of the willingness to disclose information in mobile banking apps, which is underresearched. The findings offer alternative psychological mechanisms (i.e. consumer empowerment and parasocial interaction) and relevant mobile banking app attributes to explain the willingness to disclose information.

In high-pressure pumps, due to the interaction of asperities on the upper and lower surfaces, the piston–cylinder interface suffers severe lubrication and sealing problems during mixed lubrication. This study aims to establish a mixed thermo-elastohydrodynamic (EHD) model for the lubrication gap to determine how working conditions affect the lubricating characteristics and sealing performance of the interface.

A mixed thermo-EHD lubrication model is established to investigate the lubricating characteristics and sealing performance of the interface between the piston and cylinder. The model considers piston tilting, thermal effect, surface roughness and bushing deformation. The interface lubricating characteristics and sealing performance under different working conditions are calculated by the proposed numerical model.

A higher inlet pressure contributes to an increase in the minimum film thickness. Increased shaft speed can significantly reduce the minimum film thickness, resulting in severe wear. Compared to roughness, the impact of the thermal effect on the interface sealing performance is more significant.

The proposed lubrication model in this study offers a theoretical framework to evaluate the lubricating characteristics and sealing performance at the lubrication gap. Furthermore, the results provide references for properly selecting piston-cylinder surface processing parameters.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-03-2023-0072/

The issue of excessive carbon emissions continues to be a critical global challenge. As a prominent mode of transportation for long-distance travel, aircraft is widely acknowledged as a significant source of these emissions. Carbon offset initiatives function as ecological measures, helping to reduce the negative environmental impact. This study aims to explore how benefit appeals (BA) within the aviation industry impact tourists’ carbon offset payment intentions (COPIt).

In Studies 1 and 2, scenario-based experiments were conducted to explore how goal framing (GF) and (BA) interact to influence COPIt. Study 2 further investigated the mediating roles of moral responsibility and trust in airlines within this interaction. Study 3 used real-world surveys to examine the moderating influence of moral elevation, thereby supporting the interactive effects and mediation mechanisms identified in the earlier studies.

Across three studies, the authors consistently identified pivotal factors shaping COPIt in the context of air travel. Study 1 revealed that the combination of BA and GF significantly impacts COPIt, with egoistic appeals linked to loss framing and altruistic appeals connected to gain framing being particularly effective in encouraging COPIt. Study 2 extended these insights by showing that moral responsibility and trust in airlines serve as mediators between BA, GF and COPIt. In Study 3, moral elevation was found to moderate the influence of BA and GF on both moral responsibility and COPIt, deepening the understanding of these dynamics.

This study expands the range of factors affecting COPIt and delves into the underlying mechanisms through which BA and GF shape COPIt. Additionally, it advances current understanding by revealing the intricate processes influenced by moral elevation. The findings not only contribute to the existing knowledge on COPIt determinants but also offer practical guidance for the aviation industry and related sectors in promoting tourists’ participation in carbon offset programs.

本研究探讨航空业中不同利益诉求（利他 vs. 利己）和目标框架（收益 vs. 损失）如何影响游客的碳补偿支付意向, 以应对航空业作为主要碳排放源的环境挑战。

通过三项实验分析利益诉求与目标框架对碳补偿支付意向的影响, 前两项研究探讨利益诉求与目标框架的交互作用以及道德责任感和信任的中介作用, 第三项在机场调研中考察道德提升感的调节作用。

结果显示, 利他诉求与收益框架、利己诉求与损失框架的匹配显著提高游客的支付意向, 道德责任感和信任为中介, 且道德提升感调节了这一影响。

本研究丰富了碳补偿支付意向的理论, 揭示利益诉求与目标框架的交互作用机制, 并为航空业提供了有效推动碳补偿项目的实践建议。

Este estudio analiza cómo los intereses (altruismo vs. egoísmo) y el marco objetivo (ganancia vs. pérdida) influyen en la intención de pago de compensación de carbono de los turistas en la industria aérea.

Se emplearon métodos experimentales en dos estudios iniciales para explorar la interacción entre intereses y marco objetivo, y el papel mediador de la responsabilidad moral y la confianza en la aerolínea. Un tercer estudio en un aeropuerto evaluó el efecto moderador de la elevación moral.

Los intereses y el marco objetivo influyen conjuntamente en la intención de pago de compensación de carbono. La combinación de altruismo con un marco de ganancia y egoísmo con un marco de pérdida aumenta esta intención. La responsabilidad moral y la confianza en la aerolínea median estos efectos, mientras que la elevación moral modera su impacto.

Este estudio amplía la investigación sobre la compensación de carbono, revelando cómo la interacción entre intereses y marco objetivo afecta la intención de pago, ofreciendo recomendaciones prácticas para la industria aérea.

As more firms adopted AI-related services in recent years, AI service failures have increased. However, the potential costs of AI implementation are not well understood, especially the effect of AI service failure events. This study examines the influences of AI service failure events, including their industry, size, timing, and type, on firm value.

This study will conduct an event study of 120 AI service failure events in listed companies to evaluate the costs of such events.

First, AI service failure events have a negative impact on the firm value. Second, small firms experience more share price declines due to AI service failure events than large firms. Third, AI service failure events in more recent years have a more intensively negative impact than those in more distant years. Finally, we identify different types of AI service failure and find that there are order effects on firm value across the service failure event types: accuracy > safety > privacy > fairness.

First, this study is the initial effort to empirically examine market reactions to AI service failure events using the event study method. Second, this study comprehensively considers the effect of contextual influencing factors, including industry type, firm size and event year. Third, this study improves the understanding of AI service failure by proposing a novel classification and disclosing the detailed impacts of different event types, which provides valuable guidance for managers and developers.

Artificial Intelligence (AI) has revolutionized teaching and learning methods in higher education, especially in English language teaching and learning. This chapter contributes to the existing knowledge by exploring how AI has developed within the framework of teaching and learning of English, highlighting the challenges, dangers, and moral issues associated with its application. The typical classroom environment has significantly changed because of the integration of AI-powered tools and platforms in English instruction. Chatbots, automated grading systems, and language learning apps driven by AI have streamlined language education, increasing its effectiveness and accessibility. But these benefits accompany a variety of challenges and worries. Ethical concerns about data privacy, algorithmic biases, and the depersonalization of education arise as AI becomes more deeply ingrained in educational methods. Reliance on AI may inadvertently exacerbate educational disparities as long as learners' access to technology and its advantages remain unequal. In addition, significant thought must be given to the ethical ramifications of AI-generated content as well as the possible loss of human connection in language learning settings. This chapter examines these dangers and challenges and makes the case for a well-rounded strategy that maximizes AI's benefits while minimizing any potential downsides. Together, educators and legislators need to create moral guidelines that balance the potential of AI with human-centered learning experiences. To ensure responsible and fair AI integration and promote an inclusive learning environment that prioritizes students' holistic development while exploiting technology breakthroughs, comprehensive assessment of the associated obstacles, risks, and ethical issues is necessary.

This study aims to examine the impacts of formal and informal hierarchical governances (HGs) on the performance of mega-projects and the mediating role of contractor behavior (i.e. perfunctory and consummate behaviors) in these relationships.

A total of 375 valid data entries from managers representing 375 mega-projects were analyzed through path analysis.

Both formal and informal HGs exert positive effects on the performance of mega-projects. While formal HG positively affects contractor perfunctory behavior and contractor consummate behavior, informal HG affects contractor perfunctory behavior only. Contractor behavior mediates the relationship between formal HG and project performance.

The impacts of potential moderators (e.g. institutional arrangement and complexity) on the relationship between HG and contractor behavior have not been considered in this study.

This study is useful for owners to enhance formal HG to improve contractor perfunctory and consummate behaviors, which in turn can enhance the performance of mega-projects.

This study expands the knowledge of mega-project performance management from the perspective of HG. It also contributes to the literature of contractor behavior within the context of mega-projects.