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Drawing on solidarity-conflict model, expectancy disconfirmation theory and bottom-up spillover theory, this study aims to explore how intergenerational conflict is linked to parents’ subjective well-being through the serial mediating effects of family intimacy and travel satisfaction, self-efficacy and travel satisfaction.

Based on a survey of 411 senior parents who have family travel experience, a structural equation modeling was performed to test the hypotheses.

This study demonstrated the negative impacts of intergenerational conflict on parents’ travel satisfaction and subjective well-being and further reveals two serial mediators through individual level and family level (i.e. self-efficacy → travel satisfaction; family intimacy → travel satisfaction).

The findings of this research generate valuable practical implications for family members and destination organizations. Adult children should consider different generations’ needs to choose tourism products, help parents reduce tension and negative emotions about unusual environments and build confidence. The destination organizations need to design family interaction projects with a sense of rituals to enhance family intimacy.

This study focusing on the intergenerational conflict of adult children traveling with parents, empirically examines the negative impacts of intergenerational conflict on parents’ subjective well-being, uncovers the detrimental effects of family travel; it breaks the stereotype that family travel is always full of joy, enriching research on intergenerational relationships and family travel.

研究基于团结-冲突模型、期望不一致理论和自下而上溢出理论, 旨在通过家庭亲密度和旅行满意度、自我效能感和旅行满意度的链式中介效应探索代际冲突如何影响父母的主观幸福感。

基于411位有过家庭旅行经历的老年父母的调查数据, 运用结构方程模型检验假设。

研究验证了代际冲突对父母旅行满意度和主观幸福感的负面影响, 并进一步从个人层面和家庭层面揭示了两个链式中介的作用(即自我效能感→ 旅行满意度; 家庭亲密→ 旅行满意度)。

研究聚焦成年子女与父母一起旅行的代际冲突, 实证检验了代际冲突对父母主观幸福感的负面影响, 发现了家庭旅行中的消极面, 打破了家庭旅行总是充满欢乐的刻板印象, 丰富了代际关系和家庭旅行的研究成果。

研究结果为家庭成员和目的地组织提供了具有价值的实践指导。成年子女在选择旅游产品时需要考虑不同的代际需求, 帮助父母减少非惯常环境中的紧张和负面情绪, 建立自信心。目的地组织可设计更具仪式感的家庭互动项目, 帮助提高家庭亲密度。

Basado en el modelo de solidaridad-conflicto, la teoría de inconsistencia de expectativas y la teoría de desbordamiento de abajo hacia arriba, este estudio tiene como objetivo explorar cómo el conflicto intergeneracional está relacionado con el bienestar subjetivo de los padres a través de los efectos mediados de serie de la intimidad familiar y la satisfacción de viaje, la autoeficacia y la satisfacción de viaje.

Basado en datos de encuestas de 411 padres mayores que tienen experiencia en viajes familiares, un modelo de ecuación estructural fue utilizado para probar las hipótesis.

Este estudio demostró el impacto negativo del conflicto intergeneracional en la satisfacción de viaje de los padres y el bienestar subjetivo, y además reveló dos mediadores de serie a nivel individual y nivel familiar (es decir, autoeficacia →satisfacción de viaje; intimidad familiar →satisfacción de viaje).

Este estudio se centra en el conflicto intergeneracional de los hijos adultos que viajan con sus padres, para examinar empíricamente el impacto negativo del conflicto intergeneracional en el bienestar subjetivo de los padres, revela los aspectos negativos de los viajes familiares, rompe el estereotipo de que los viajes familiares siempre están llenos de alegría, lo que enriquece el estudio de las relaciones intergeneracionales y los viajes familiares.

Los hallazgos de este estudio proporciona valiosas implicaciones prácticas para los miembros de la familia y los organizadores de destinos. Los hijos adultos consideran las necesidades de diferentes generacionales para elegir productos de viaje, ayudar a los padres a reducir la tensión y las emociones negativas en entornos inusual y desarrollar la confianza y la. Los organizadores de destinos deben diseñar programas de interacción familiar con sentido de rituales para potenciar la intimidad familiar de los padres.

We explore the driving forces behind the channel choices of the manufacturer and the platform by considering asymmetric selling cost and demand information.

This paper develops game-theoretical models to study different channel strategies for an E-commerce supply chain, in which a manufacturer distributes products through a platform that may operate in either the marketplace channel or the reseller channel.

Three primary models are built and analyzed. The comparison results show that the platform would share demand information in the reseller channel only if the service cost performance is relatively high. Besides, with an increasing selling cost, the equilibrium channel might shift from the marketplace to the reseller. With increasing information accuracy, the manufacturer tends to select the marketplace channel, while the platform tends to select the reseller channel if the service cost performance is low and tends to select the marketplace channel otherwise.

All these results have been numerically verified in the experiments. At last, we also resort to numerical study and find that as the service cost performance increases, the equilibrium channel may shift from the reseller channel to the marketplace channel. These results provide managerial guidance to online platforms and manufacturers regarding strategic decisions on channel management.

Although prior research has paid extensive attention to the driving forces behind the online channel choice between marketplace and reseller, there is at present few study considering the case where a manufacturer selling through an online platform faces a demand information disadvantage in the reseller channel and sales inefficiency in the marketplace channel. To fill this research gap, our work illustrates the interaction between demand information asymmetry and selling cost asymmetry to identify the equilibrium channel strategy and provides useful managerial guidelines for both online platforms and manufacturers.

This study aims to investigate the impact of both physical and personality-related anthropomorphic features of an artificial intelligence service robot on the cognitive and affective appraisals and acceptance of consumers during service delivery.

The proposed hypotheses that investigate the effects of service robots’ physical appearance on the emphasis consumers place on each evaluation criteria they use in determining their willingness to accept the use of service robots in service delivery and the moderating role of sense of humor are tested by conducting two studies using scenario-based experiments.

The results show that humanlike appearance leads to higher performance expectancy, mascot-like appearance generates higher positive emotions and machine-like appearance results in higher effort expectancy. The effects of humanlike and mascot-like appearances on consumer acceptance are moderated by the sense of humor of service robots. However, the sense of humor effect is attenuated with a machine-like appearance owing to the lack of anthropomorphism.

This study provides crucial insights for hospitality managers who plan to use service robots in service delivery. The findings highlight the key roles of appearance type and sense of humor of service robots in influencing the appraisals and acceptance of consumers regarding the use of service robots in service delivery.

This study focuses on comparing the effects of traditional and mascot-like appearances of service robots on consumer appraisals and identifies sense of humor as a cute anthropomorphized personality trait of service robots.

Drawing on social learning theory and conservation of resources theory, this study aims to investigate how servant leadership (SL) is linked to employees’ pro-customer deviance (PCD) through the serial mediating effects of perceived organizational support for creativity (POS) and creative self-efficacy (CSE), work autonomy (WA) and CSE.

This study used an online questionnaire survey platform to accurately distribute the questionnaire to the target population. Data were collected from 439 frontline employees working in hotels. The data were analyzed with a structural equation modeling approach to identify the complex relationship.

Using an online survey, this study demonstrated the significant positive effect of SL on PCD and further revealed the two serial mediating paths (POS → CSE; WA → CSE) of the SL effect.

The findings of this research generate valuable implications for practitioners and managers. Managers need to be aware of the objectivity and universality of PCD in service delivery scenarios and fully understand how their leadership style influences the internal motivation and external performance of employees engaged in this behavior.

This study makes a prominent contribution to the hospitality literature by focusing on PCD. This study enriches the research on the antecedents of PCD, constructs a cross-level multipath mechanism model of PCD in the context of SL and reveals the rationalization process and nature of employees’ PCD.

The ergonomic performance of protective clothing for earthquake disaster search and rescue team members is significant for its protective performance. The paper aims to discuss these issues.

By experimental simulations of the rescue tasks, an evaluation system for the protective clothing in both static and dynamic conditions was designed and established in this study. In static evaluation, motion capture system was used to measure the ranges of motions. The mobility was analyzed by the comprehensive evaluation method. In dynamic experiments, three types of rescue tasks were simulated for ergonomic evaluation. The results were analyzed based on the multi-levels joint evaluation method.

It was shown that the established evaluation system could meet well with the requirements of the ergonomic evaluation.

Fuzzy comprehensive evaluation method is an effective tool in ergonomic evaluation of clothing. The newly designed coverall and suit are of better ergonomic performance compared with the in-service clothing.

The purpose of this paper is to extend prior supply chain research by empirically exploring the relationship among guanxi, supply chain integration (SCI), and operational performance. More specifically, this study investigates the mediating role of SCI.

Ordinary least square regression is used to analyze survey data collected from 126 automobile manufacturers in China.

The results reveal a significant positive relationship between guanxi and SCI, and that SCI is significantly and positively related to operational performance. The authors’ findings further suggest that guanxi indirectly affects operational performance through SCI.

The empirical findings imply that it is vital for managers to recognize the important mediating role of dynamic SCI capabilities.

As a fundamental Chinese cultural norm, guanxi can be critical in a supply chain context. Although previous research has identified the importance of guanxi and SCI in improving firm performance, far less attention was given to the study of the mediating effect of SCI on the guanxi-performance relationship. This study thus fulfills the research gap by providing an initial empirical examination of the mediating role of SCI in China’s automotive industry.

This study aims to identify articles examining human-robot interaction and the effects of robotic systems on employment.

In this research, electronic searches were performed for articles published between 2000 and 2022 in Emerald, Springer, PubMed, Science Direct, Wiley and Google Scholar. In the searches of robotic systems with keywords such as “motivation, job satisfaction, job loss, performance, job giving,” 5 quantitative and 5 qualitative studies were included in the systematic review. The selected research was conducted using the Johanna Briggs Analytical Cross-Sectional Studies Checklist from the Joanna Briggs Institute (JBI) critical evaluation lists and the JBI Critical Appraisal Checklist for Qualitative Research, depending on their type. The included studies are mostly on employee-robot collaboration.

Although the majority of the articles examined in this study are included in keywords or titles, it is determined that there is a gap in descriptive quantitative studies in the literature on the effects of employee-robot collaboration, robotic systems and robotic systems on variables such as motivation, job satisfaction, job loss, performance and employment, although they do not mention a framework that directly investigates human-robot interaction and the effects of robotic systems on employment.

There are several limitations in this study. One of them is that, although the databases are comprehensively scanned, only studies published in English between 2000 and 2022 are included in the systematic review. Another limitation is the heterogeneity between studies.

As a result of the authors’ findings, the practical effects of the research are reflected as follows: It serves as a guide for future studies to fill the gap in the field, especially for academics and researchers working in the field of social sciences on robotic systems and intelligent automations. In addition to the qualitative studies on this subject, there is a need for the use of robotic systems in the field of human resources and management and quantitative studies with more sample sizes, especially at the corporate (firms) and individual (employees) level. Considering that the number of studies on this subject is very insufficient, this research is important in terms of shedding light on future studies.

The authors believe that the impact of robotic systems on employment is one of the few conceptual articles that systematically examines 6 dimensions (job satisfaction, performance, job loss, employment, motivation, employment).

This study aims to analyze reform path for waste management policy implementation. With reference to the Bayesian theory, this study provides a dynamic policy conversion method through various context settings. Furthermore, this study attempts to present an empirical research paradigm.

Matland’s “ambiguity-conflict model” is applied to explain the problems and reform paths of China’s waste management policy implementation. Integrating structure discovery and bibliometrics into qualitative analysis, this study used search data from literature search engine with specific themes to achieve structure learning of Bayesian network with key factors refined in waste management policy.

The results show that China’s waste management policy implementation belongs to symbolic implementation with high ambiguity and high conflict. Four basic conversion paths for the waste management policy are proposed, which are classified by length and stability. Then, it is possible to locate the factors, paths and types of policy implementation through involvement analysis with features of each path and each district of policy implementation. Public education holds direct but unstable impact on waste management. Economic incentives hold continuous but gradually diminishing impact. Perceived policy effectiveness plays the crucial role like a central bridge. Resident conditions have a positive impact, which could be enhanced through economic development of China. The impact of subjective norm on waste management is not significant. But subjective norm has the potential breakthrough for solving stagnation of waste classification policy. However, the impacts from each factor may change along with economy growth and technology innovation.

This study uses the “ambiguity-conflict model” to position China’s waste classification policy and suggests that structure discovery methods help understand feasible reform paths for reform policy. The integration of theoretical analysis and quantitative simulation can achieve a comprehensive analysis of problems and solutions in waste management policy implementation of China. Promotion and education, economic incentives, perceived value, behavior control, subjective norm, perceived policy effectiveness, informal waste recycling system and residential conditions are explored as key factors for waste classification policy implementation as a representative in waste management policy. The role of each key factor and features of each conversion paths are integrated to position reform paths in the ambiguity-conflict model. This work helps to explain the stagnation of waste management policy implementation from the perspective of dynamic structure evolution, and some specific suggestions to get out of stagnation are proposed.

Corporate social responsibility (CSR) practices frequently result in increased costs for Chinese international contractors (CICs), where profitability is the primary objective; therefore, internal corporate drivers and external pressures play a crucial role in encouraging them to engage in sustainable CSR practices. This study systematically examines the dynamic impact of internal and external stakeholders on the CSR practices of CICs.

This study adopted a structural equation model (SEM) to identify and validate a correlation between stakeholders and CSR practices. Standardized causal coefficients estimated in SEM were used to construct a fuzzy cognitive map (FCM) model to illustrate the effect of stakeholders on CSR practices with linkage direction and weights. Predictive, diagnostic, and hybrid analyses were performed to dynamically model the variation in stakeholders on the evolution of CSR practices.

The empirical results demonstrate that (1) employee participation in CSR has the greatest impact on CSR practices, followed by CSR strategies, partner and customer expectations, and finally government regulations. (2) In the early stage of CSR fulfillment, CSR strategies have the greatest influence on CSR practices; in the later stage of CSR fulfillment, employee participation in CSR has the greatest influence on CSR practices. (3) In the long run, the most effective and economical integrated interventions are those that address employee participation in CSR, partner expectations and customer expectations, and intervention in CSR strategies is needed if the level of CSR practice needs to be improved in the short term.

This study contributes to the research on the influence mechanisms of CSR practices of CICs and systematically analyzes their dynamic influence on CSR practices of CICs from the perspective of stakeholders.

The fashion sector is complex. It involves multiple actors with distinct and potentially conflicting interests, forming a value ecosystem. Thus, knowing the interested parties and belonging to the fashion sector may be a means to promote technological innovation, such as products with wearables. The purpose of this paper to identify the participants of the fashion ecosystem from the perspective of wearable technologies and develop a conceptual model.

The present work aims to identify the participants (actors) and develop a conceptual model of the fashion ecosystem from the perspective of wearable technologies. The systematic literature review is the recommended method to qualitatively analyze documents and identify the interested parties (actors) in the fashion sector in order to design the proposed conceptual model.

From the studies, the conceptual model of the fashion value ecosystem was designed, and the wearable product was considered its core business. The studies identified addressed ecosystems of fashion value in general but not specific to wearable products and their relations with other complementary industries.

The model was designed using secondary data only. Its validation is relevant through interviews with experts.

In terms of relevance, when conducting a systematic literature review, there were no studies that included wearable technologies in the fashion ecosystems discussed and their relations with other industries. The topic of wearables is an emerging subject that needs further research aiming to insert this technology in productive sectors.