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The purpose of this study is to examine the impact of experience dimensions on the engagement in pro-environmental behaviour (PEB) within nature-based tourism in China. The focus was on sustainable/responsible consumer behaviour by the Chinese Gen Z (18–26 years).

Firstly, a conceptual model was suggested, drawn on experiential marketing approach. Secondly, an empirical study (online survey) with a sample of 580 young persons was conducted and data were analysed using structural equation modeling (SEM).

It was revealed that the act and feel dimensions significantly influence experiential value (EV), and EV positively affects satisfaction, significantly impacting arousal and memory. Positive outcomes of experience impact Gen Z members’ engagement in PEBs. Furthermore, arousal and memory play a similar and partial mediating role between satisfaction and engagement in PEB.

The insights gained give support and guidance to tourism destinations and suppliers to promote environmentally friendly behaviour among tourists. This understanding is valuable and useful to industry practitioners in elaborating and implementing the appropriate strategies to stimulate, motivate and promote tourists’ PEB.

This study elaborates an integrative framework, drawn on a marketing approach and establishing a relationship between experiential dimensions and engagement in PEB through the mediating factors of perceived EV, satisfaction, memory and arousal. It provides tourism researchers with new perspective and insights on tourism experience and consumption behaviour.

本研究证实了体验维度对于中国自然旅游地游客的亲环境旅游行为(PEB)的影响。研究对象聚焦于中国Z世代(18 至26 岁)游客的亲环境行为。

本研究基于体验营销, 提出了一个概念模型, 对580名Z世代游客进行了实证研究(在线调查), 并采用结构方程模型（SEM）对数据进行分析。

结果表明, 行动维度和情感维度显著影响体验价值, 体验价值正向影响满意度, 满意度显著影响唤醒度和记忆。体验后的积极结果会影响Z世代游客的亲环境行为的参与。此外, 唤醒度和记忆在满意度和亲环境行为参与之间起平行的部分中介作用。

研究结果可为旅游目的地的管理者和从业者提供借鉴和参考, 以促进游客的环保行为。这对于旅游业从业者制定和采取恰当的策略来促进和激励游客的亲环境行为也具有重要意义。

本研究基于营销方法, 构建了一个整合框架, 并通过体验价值、满意度, 记忆和唤醒度等中介, 建构了体验维度和参与亲环境行为之间的关系, 拓展了旅游体验及消费行为的研究视角。

El propósito de este estudio fue examinar el impacto de las dimensiones de la experiencia en el comportamiento turístico proambiental (CTP) en el turismo de naturaleza en China, centrándose en el comportamiento sostenible y responsable de la Generación Z china (entre 18 y 26 años).

Se propuso un modelo conceptual basado en el enfoque del marketing experiencial. Posteriormente, se llevó a cabo un estudio empírico mediante una encuesta en línea a 580 jóvenes, y los datos obtenidos se analizaron utilizando SEM (Modelado de Ecuaciones Estructurales).

Se encontró que las dimensiones “actuar” y “sentir” tienen una influencia significativa en el valor experiencial, y este último impacta positivamente en la satisfacción, lo cual a su vez influye en la excitación y la memoria. Los resultados positivos de la experiencia turística tienen un efecto en el compromiso de los miembros de la Generación Z con el comportamiento turístico proambiental. Además, tanto la excitación como la memoria desempeñan un papel parcialmente mediador entre la satisfacción y el compromiso en el CTP.

Los conocimientos obtenidos en este estudio brindan apoyo y orientación a los actores del sector turístico para fomentar un comportamiento respetuoso con el medio ambiente entre los turistas y visitantes. Esta comprensión es valiosa y útil para los profesionales del sector al diseñar e implementar estrategias adecuadas que estimulen, motiven y promuevan el comportamiento turístico proambiental.

Este estudio presenta un marco integrador basado en el enfoque del marketing experiencial, estableciendo una relación entre las dimensiones experienciales y el compromiso en el CTP a través de factores mediadores como el valor experiencial percibido, la satisfacción, la memoria y la excitación. Proporciona a los investigadores del turismo una nueva perspectiva y conocimientos sobre la experiencia turística y el comportamiento de consumo.

This paper aims to examine the congruency effects of physically embodied robots in service encounters, which addressed a significant research gap concerning the synthesis of robot design elements (e.g., appearance and voice) and their service purposes.

Grounded in congruity theory and human-robot interaction literature, this study conducted a pretest and two experimental studies revealing the need to view robot design holistically and recognizing the pivotal role of congruity in shaping consumers’ service robot adoption. The moderating role of service purposes (utilitarian vs hedonic) was also investigated in terms of robot design and consumer reactions.

Consumers generally tend to favor robots with congruent designs, particularly for utilitarian service purposes. The serial mediation through perceived congruence and perceived intelligence explains such a favorite tendency.

This study advances service robot design research by highlighting the critical role of congruity in enhancing consumer engagement. It supports the use of comprehensive, congruent designs for services with utilitarian purposes and recommends adaptable designs for hedonic settings.

This study addressed the research gap by examining service robot design from a holistic perspective. The research findings highlight the importance of congruency effects in service robot design and deployment and provide valuable insights and guidelines to industry practitioners for optimal investment in service robots.

Surface acoustic wave (SAW) sensors have attracted great attention worldwide for a variety of applications in measuring physical, chemical and biological parameters. However, stability has been one of the key issues which have limited their effective commercial applications. To fully understand this challenge of operation stability, this paper aims to systematically review mechanisms, stability issues and future challenges of SAW sensors for various applications.

This review paper starts with different types of SAWs, advantages and disadvantages of different types of SAW sensors and then the stability issues of SAW sensors. Subsequently, recent efforts made by researchers for improving working stability of SAW sensors are reviewed. Finally, it discusses the existing challenges and future prospects of SAW sensors in the rapidly growing Internet of Things-enabled application market.

A large number of scientific articles related to SAW technologies were found, and a number of opportunities for future researchers were identified. Over the past 20 years, SAW-related research has gained a growing interest of researchers. SAW sensors have attracted more and more researchers worldwide over the years, but the research topics of SAW sensor stability only own an extremely poor percentage in the total researc topics of SAWs or SAW sensors.

Although SAW sensors have been attracting researchers worldwide for decades, researchers mainly focused on the new materials and design strategies for SAW sensors to achieve good sensitivity and selectivity, and little work can be found on the stability issues of SAW sensors, which are so important for SAW sensor industries and one of the key factors to be mature products. Therefore, this paper systematically reviewed the SAW sensors from their fundamental mechanisms to stability issues and indicated their future challenges for various applications.

This study aims to propose a refined dynamic network slacks-based measure (DNSBM) to evaluate the efficiency of China's regional green innovation system which consists of basic research, applied research and commercialization stages and explore the influencing factors of the stage efficiency.

A two-step procedure is employed. The first step proposes an improved DNSBM model with flexible settings of stages' input or output efficiency and uses second order cone programming (SOCP) to solve the non-linear problem. In the second step, least absolute shrinkage and selection operator (LASSO) and Tobit models are used to explore the influencing factors of the stage efficiency. Global Dynamic Malmquist Productivity Index (GDMPI) and Dagum Gini coefficient decomposition method are introduced for further discussion of the productivity change and regional differences.

On average, Chinese provincial green innovation efficiency should be improved by 24.11% to become efficient. The commercialization stage outperforms the stages of basic research and applied research. Comparisons between the proposed model and input-oriented, output-oriented and non-oriented DNSBM models show that the proposed model is more advanced because it allows some stages to have output-oriented model characteristics while the other stages have input-oriented model characteristics. The examination of the influencing factors reveals that the three stages of the green innovation system have quite diverse influencing factors. Further discussion reveals that Chinese green innovation productivity has increased by 39.85%, which is driven mainly by technology progress, and the increasing tendency of regional differences between northern and southern China should be paid attention to.

This study proposes an improved dynamic three-stage slacks-based measure (SBM) model that allows calculating output efficiency in some stages and input efficiency in the other stages with the application of SOCP approach. In order to capture productivity change, this study develops a GDMPI based on the DNSBM model. In practice, the efficiency of regional green innovation in China and the factors that influence each stage are examined.

This paper forms an e-commerce supply chain that include a manufacturer providing products and an online platform providing service. The reselling platform mode and the agent platform mode are considered through an exploration of the manufacturer Stackelberg (MS), vertical Nash (VN), platform Stackelberg (PS) power structures. The purpose of this paper is to explore the pricing and platform service decisions under different platform selling modes and channel power structures.

Based on the game theory models, this paper investigates the interaction between the manufacturer and the online platform under four different scenarios. The optimal solutions of four models are provided. Through comparison analyses, this paper evaluates the impacts of platform selling mode and channel power structure on the pricing and platform service decisions and the members’ profits.

The manufacturer prefers the MS power structure in any platform mode. The online platform prefers the PS (MS) power structure under a low (high) service cost efficiency in the reselling platform mode, while prefers the PS and VN power structures in the agent platform mode. Moreover, the manufacturer prefers the agent (reselling) platform mode under a low (high) service cost efficiency in any power structure. The online platform prefers the reselling platform mode in the MS and PS power structures, while prefers the reselling (agent) platform mode under a low (high) service cost efficiency in the VN power structures.

The analysis result provides important managerial implications that help the supply chain members develop a better understanding of the selection of the platform selling mode and the effect of the channel power structure in the presence of platform service.

This paper aims to propose the mechanism of cross-network effect embedded, which can help cross-border e-commerce (CBEC) platforms strengthen cooperative relationships with sellers more equitably and effectively by using the network structural characteristics of the platforms themselves.

A two-stage evolutionary game model has been used to confirm the influence factors. The mathematical derivation of evolutionary game analysis is combined with the simulation method to examine the role of cross-network effect in cooperation. The evolutionary game model based on the cross-network effect is proposed to achieve better adaptability to the study of cooperation strategy from the two-sided market perspective.

The evolutionary game model captures the interactions of cross-network effect and the influence factors from a dynamic perspective. The cross-network effect has a certain substitution on the revenue-sharing rate of SMEs. CBEC platforms can enhance the connection between consumers and the website by improving the level of construction, which is a good way to attract sellers more cost-effectively and efficiently.

This study provides a new method for the validation of the cross-network effect, especially when data collection is difficult. But this method is only a numerical simulation. So the conclusions still need to be further tested empirically. Besides, researchers are advised to explore the relationship between the added user scale and the cross-network effect in some specificCBEC platforms.

This study provides a new method for the validation of the cross-network effect, especially when data collection is difficult. But this method is only a numerical simulation. So the conclusions still need to be further tested empirically. Besides, researchers are advised to explore the relationship between the added user scale and the cross-network effect in some specific CBEC platforms.

Investigations that study cooperation strategy from the cross-network effect perspective in CBEC are limited. The research figured out which influence factors are affected by the cross-network effect in cooperation. A two-stage evolutionary game model was proposed to explain the interaction of the factors. The evolutionary game analysis with a simulation method was combined to highlight the role of cross-network effect on cooperation strategy to give a deeper investigation into the sustainable cooperation ofCBEC.

Aero-engine exhaust plume length can be more than the aircraft length, making it easier to detect and track by infrared seeker. Aim of this study is to analyze the effect of free stream Mach number (M_∞) on length of potential core of plume. Also, change in infrared (IR) signature of plume and aircraft surface with variation in elevation angle (θ) is examined.

Convergent divergent (CD) nozzle is located outside the rear fuselage of the aircraft. A two dimensional axisymmetric computational fluid dynamics (CFD) study was carried out to study effect of M_∞ on potential core. The CFD data with aircraft and plume was then used for IR signature analysis. The sensor position is changed with respect to aircraft from directly bottom towards frontal section of aircraft. The IR signature is studied in mid wave IR (MWIR) and long wave IR (LWIR) band.

The potential plume core length and width increases as M_∞ increases. At higher altitudes, the potential core length increases for a fixed M_∞. The plume emits radiation in the MWIR band, whereas the aerodynamically heated aircraft surface emits IR in the LWIR band. The IR signature in the MWIR band continuously decreases as the sensor position changes from directly bottom towards frontal. In the LWIR band the IR signature initially decreases as the sensor moves from the directly bottom to the frontal, as the sensor begins to see the wing leading edges and nose cone, the IR signature in the LWIR band slightly increases.

The novelty of this study comes from the data reported on the effect of free stream Mach number on the potential plume core and variation of the overall IR signature of aircraft with change in elevation angle from directly below towards frontal section of aircraft.

This paper aims to empirically investigate the impact of the carbon intensity constraint policy (CICP) on green innovation.

This study takes the implementation of the CICP as a quasi-natural experiment and uses a quasi–difference-in-difference method to investigate the impact of the CICP on firm green innovation from a microeconomic perspective.

The CICP significantly limits the quality of firms’ green innovation. Among the range of green patents, the CICP distorts only patents related to CO₂ emissions. The inhibitory effect is more pronounced in non-state-owned enterprises and heavily polluting firms. R&D investment and green investor are identified as the main mechanism.

These findings provide evidence for the influence of the CICP on firm green innovation, which can guide policymakers in China and other emerging economies that prioritize carbon intensity constraint targets and the improvement of relevant auxiliary measures.

Governments and firms should have a comprehensive understanding of environmental policies and corporate behavior and need to mitigate the negative impact through a combination of measures.

This study contributes to the literature by providing additional empirical evidence regarding the two opposing sides of the ongoing debate on the positive or negative effects of CICP. It also provides new evidence on the policy effect of the CICP on firm green innovation, together with its mechanisms and heterogeneous influences.

This study aims to investigate the influence of CEO’s only-child status on corporate social responsibility (CSR) practices. It seeks to extend the understanding of upper echelon theory by examining unexplored CEO characteristics and their impact on CSR decisions.

The paper uses manually collected CEO family information and Chinese Stock and Market Accounting Research data as a basis to examine the influence of CEOs’ early-life experiences on their engagement in CSR activities. The study applies attachment security theory from developmental psychology and uses upper echelon theory, particularly focusing on CEOs’ only-child status. A comparative analysis of philanthropic donations between CEOs who are only children and those who have siblings is conducted. The study also examines the moderating effects of corporate slack resources and CEO shareholdings.

Preliminary findings suggest that CEOs who are only children are more likely to engage in CSR compared to their counterparts with siblings. However, the difference in donation amounts between the two groups tends to attenuate with decreased slack resources and increased CEO shareholdings.

To the best of the authors’ knowledge, this research represents the first attempt to investigate being the only child in one’s family and the CSR-related decision of CEOs, which extends the upper echelon theory by introducing the family science theory into the management domain.

Through critically reflecting on existing research on information and communication technology (ICT) in hospitality, the purpose of this study is to propose recommendations for future research to further narrow the theory-practice gap.

Personal experiences along with evidence from the literature provide a foundation for discussion, which is further enriched by integrating industry practitioners’ points of view.

Single-perspective and technology adoption studies have dominated ICT research in the hospitality literature. Technology effectiveness has often been measured indirectly. Oversimplifying technological issues has limited the generalizability of research findings.

Future studies are suggested to go beyond examining technology adoption, embrace multi-perspective approaches and incorporate a wider range of situational and contextual factors.

Through a unique perspective, this study highlights the limitations of previous ICT research in the hospitality literature and provides suggestions for future research to better meet the needs of practitioners. The arguments presented are not purely from an academic standpoint, as they have been endorsed by senior industry executives.