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This study aims to examine the effects of coworker incivility on employees' behaviors using a moderated mediation model that conceptualizes coworker exchange (CWX) as a mediator and servant leadership as a moderator.

The data were collected using a multi-temporal research design. The hypotheses were tested on a sample of 1,272 participants using confirmatory factor analysis (CFA), hierarchical regression analysis and moderated path analysis. In addition, supervisor incivility was added as a control variable to partial out the potential influence on employees' behaviors.

The results of CFA ensured that all measures had discriminant and convergent validity. In addition, the results of hierarchical regression analysis and moderated path analysis indicated that CWX mediates the relationship between coworker incivility and employees' behaviors. Furthermore, servant leadership exacerbates the negative relationship between coworker incivility and CWX.

Leaders and practitioners should invest in communication training programs for developing employees' communication skills to avoid incivility. In addition to viewing incivility as inappropriate behavior, leaders and practitioners should understand the meaning beyond those incivilities.

This study utilized incivility spiral theory to examine how coworker incivility affects employees' behaviors. The mediated path analysis found that CWX mediates the relationship between these variables, which has been ignored by previous research. Furthermore, this study introduced servant leadership as a moderator to account for the “when” in incivility spiral theory, i.e. what kind of social context facilitates or inhibits the influence of coworker incivility on CWX.

The purpose of this paper is to propose a secure mobile group-buying system for application on spontaneous group-buying websites.

The proposed mechanism uses the Schnorr digital signature technique.

The proposed scheme is able to satisfy many security requirements. The computation costs of each phase and party were also analyzed, and the communication cost of each phase was calculated.

The results indicate that the proposed scheme is suitable for real-world application.

Embroidery as a textile embellishment technique plays an important role in people's daily life. Esthetic embroidery artworks possess cultural values. With the development of robotics and artificial intelligence (AI), these technologies have been studied and applied in the embroidery process. This study aims to survey how these technologies facilitate embroidery from different aspects.

This paper surveys how the technologies of robotics and AI are applied in the embroidery field. The applications are mainly reviewed from three aspects: computerized robotic embroidery systems has been widely used for the mass production of embroidered textiles, the advanced technological systems and techniques have greatly facilitated the development of smart textiles and the artificial intelligence plays an important role in the inheritance, innovation and protection of traditional handicraft artwork of embroidery.

The programmable robotic embroidery machines have greatly improved the production efficiency of embroidered textiles and promoted the development of electronic textiles. The AI, mainly the deep learning technology, brings significant benefits to esthetic embroidery creation. Technology-based embroidery has become a hot research topic in the field of textiles.

This paper summarizes the application of robotics and AI technologies in the field of embroidery, which provides readers a comprehensive and systematic understanding about the research progress of modern technology-oriented embroidery. This helps readers gain inspiration from the technology perspectives.

This paper aims to propose a novel mathematical model of bearingless switched reluctance motor (BSRM). This model differs from conventional mathematical models in the calculation of torque and suspension forces. Conventional mathematical models neglect the coupling relationship between the α- and β-axes or ignore the magnetic saturation of the Si-Fe material. This study considers these issues simultaneously. Additionally, considering the air-gap edge effect, the fringing coefficient is used to establish a high-precision mathematical model.

An innovative mathematical model of BSRM based on the Maxwell stress method was established by selecting an appropriate integration path. The fringing coefficient of the air-gap was computed based on the finite element analysis results at the aligned position of the stator and rotor poles. Using the least squares fitting method, the piecewise fitted magnetization curve of the Si-Fe material was utilized to calculate flux density.

The appropriate integration path of the Maxwell stress method was selected, which considered the coupling relationship of the suspension forces in the α- and β-axes and was closer to the actual situation. The fringing coefficient of the air-gap improved the calculation accuracy of air-gap flux density. The magnetomotive force was consumed by the magnetic resistance of the stator and rotor poles considering the magnetic saturation.

A novel mathematical model of BSRM is proposed. Different from conventional mathematical models, the proposed model can effectively solve the coupling relationship of the suspension forces in the α- and β-axes. Additionally, this model is consistent with the actual situation of motor as it includes a reasonable calculation of the air-gap flux density, considering the air-gap edge effect and magnetic saturation.

This paper aims to explore the impact of corporate social responsibility and hypocrisy on the relationship among psychological contract violation, trust and perceived betrayal.

This study used purposive sampling and selected students in Taiwan as the research participants. The theory of psychological contract violation and consumer awareness process in violation hypocrisy on psychological contract violation were used to investigate the effect of its impact on trust and perceived betrayal. Then, the moderating effect of social responsibility and hypocritical on trust, and the mediating effect of trust between psychological contract violation and perceived betrayal were analyzed.

The results indicated that hypocrisy had a significant and negative impact on psychological contract violation toward trust; hypocrisy had a significantly positive impact on psychological contract violation toward perceived betrayal; trust had a significantly negative impact on perceived betrayal; perceived betrayal had a significantly positive impact on both direct and indirect revenges; trust had a mediating effect between hypocrisy toward psychological contract violation and perceived betrayal; and higher hypocrisy would produce a stronger effect through trust on the relationships between hypocrisy toward psychological contract violation and perceived betrayal.

Perception of consumers would differ whenever there were failures of service recovery occurred; especially, stronger betrayal feeling would be perceived with the companies who emphasized social responsibility and did not carry out what they should do. Research results could be references for companies whom advertising and praising social responsibility.

This research aims to grasp hotel guests' motives and potential benefits sought when interacting with other guests, service personnel and residents and examines how these benefits can contribute to the total guest experience.

Mixed methods are adopted for the purpose of this study comprising individual interviews and a questionnaire survey.

Five groups of advantages emerge from individual interviews, including friendliness in interaction, social benefits, information acquisition, curiosity gratification and hospitality services. In the survey, which gathers 326 questionnaires, this study reveals that the five types of benefits derived from hotel guests' interactions could be further categorized into two dimensions: civility (e.g. friendliness and social) and utility (e.g. information, curiosity and service). The study confirms that four out of five potential or expected benefits from this personal interaction is significantly associated with the total hotel experience.

Respondents of this study are culturally homogenous; as a result, multi-cultural settings should be considered for future research.

Tourism and hospitality literature on people's interaction is mostly center around social aspects of interaction. The current study comprehensively explores all expected utilities of interaction, occurring in all sorts of interactions (e.g. customer-to-resident and customer-to-service personnel). Specifically, the findings of this study uncover the underlying factors which prompt the tourists to interact with other people in a lodging setting and examine the relative importance of those underlying factors to the total lodging experiences.

The purpose of this study is to detail the design and development of a robust and practical perception system for autonomous material handling robots (AMHRs) operating within industrial stockyards. This system aims to support simultaneous localization and mapping (SLAM) while generating large-scale spatial cognition, ensuring accurate, low-latency, and scalable operations in demanding industrial environments.

The proposed perception system integrates multimodal perception sensors, efficient algorithms and commercial hardware devices to o provide SLAM-based large-scale spatial cognition for distributed AMHRs. The system’s design emphasizes practicality, efficiency and readiness for real-world deployment, ensuring it meets the stringent requirements of accuracy, latency and scalability.

Experiments conducted in a real industrial stockyard environment demonstrate the practicality and robustness of the perception system. The system exhibits high performance in state estimation, stockpile modeling accuracy and motion spatial cognition, confirming its effectiveness for AMHR operations.

The developed system was practically used at Tianjin Port, demonstrating the potential for widespread industrial application, offering a scalable and efficient solution for AMHR operations. Its integration into diverse industrial settings can lead to significant improvements in material handling processes, contributing to enhanced productivity and operational efficiency.

This work presents an innovative perception system that combines advanced SLAM-based spatial cognition akin to that of the brain with practical deployment considerations. The system’s design and implementation address the specific challenges of AMHRs in industrial environments, providing a novel solution for enhancing the operational efficiency and adaptability of autonomous robots in stockyards and similar settings.

The research objectives were to: (1) examine the relationship among motivations, satisfaction and loyalty with plant-based food dining at destinations; (2) determine if and how the attractiveness of eating plant-based foods moderates satisfaction and loyalty; and (3) investigate potential differences in visitor background information and consumption characteristics.

A survey was conducted at tourist attractions in southern Taiwan and 274 valid questionnaires were obtained. The relationships among motivations, satisfaction and loyalty were investigated when eating plant-based foods during travel. The moderating effects of food attractiveness on motivations and satisfaction/loyalty were measured.

The results indicated a positive relationship between motivations and satisfaction/loyalty in plant-based food dining. Motivations for plant-based food dining were comprised of four domains (physical, cultural, interpersonal and prestige) and satisfaction and loyalty had three (overall satisfaction, intention to revisit and intention to recommend).

The major implications were that motivations had a significant effect on satisfaction and loyalty; food attractiveness did not moderate the effect of motivations on satisfaction/loyalty; and background characteristics influenced satisfaction and loyalty.

Marketers and strategic planners for plant-based restaurants or those with plant-based meal options must make a greater effort to understand the distinctive demographic and dietary characteristics of the people who comprise the core of this market.

This research adds to the very limited literature on plant-based and vegetarian dining in tourism destinations. Furthermore, it tests, partially validates and expands a model by Kim et al. (2009) for consuming local food while traveling. The findings also complement the considerable evidence linking motivations to satisfaction and loyalty when dining.

The cruise industry has witnessed steady growth, with passenger volume increasing from 17.8 million in 2009 to 30 million in 2019. In the context of global competition and an uncertain business environment, competition in business has changed dramatically from battles of “firm versus firm” to “supply chain versus supply chain”. Hence, the purpose of this paper is to understand the cruise industry from a chain perspective, which has not drawn widespread research attention.

This paper brings together the insights, opinions, concepts and frameworks from a literature review of different disciplines (maritime shipping, tourism management, logistics management, operations management and supply chain management) and analysis results from 22 semi-structured interviews to make an early attempt to conceptualise the cruise supply chain (CSC).

The cruise supply chain is elaborated on the process, the role of each entity and its characteristics by comparing with the maritime supply chain and tourism supply chain. Based on the understanding of the CSC, two specific characteristics of the Chinese CSC are examined, which need further investigation.

The CSC is articulated with detailed processes and characteristics based on the literature review and empirical study. The findings of this paper not only advance the knowledge of the supply chain in the cruise industry but also highlight the importance of further research on the CSC.

This study investigates the relationship between feelings of loneliness in the workplace, life satisfaction, affect, hope and expressivity among hotel employees.

The research model was tested via structural equation modeling based on the empirical data collected from hotel employees in Antalya, Turkey.

The research findings suggest that emotional deprivation and social companionship have a significant impact on life satisfaction, that life satisfaction has a significant impact on positive and negative emotions, and that positive and negative emotions have the same impact on pathways and agencies.

The research findings should assist researchers and practitioners to understand the behaviors of hotel employees in continuous interaction and relationship with individuals to motivate them while providing more effective services.