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Incorporating dynamic spatial effects exhibits considerable potential in improving the accuracy of forecasting tourism demands. This study aims to propose an innovative deep learning model for capturing dynamic spatial effects.

A novel deep learning model founded on the transformer architecture, called the spatiotemporal transformer network, is presented. This model has three components: the temporal transformer, spatial transformer and spatiotemporal fusion modules. The dynamic temporal dependencies of each attraction are extracted efficiently by the temporal transformer module. The dynamic spatial correlations between attractions are extracted efficiently by the spatial transformer module. The extracted dynamic temporal and spatial features are fused in a learnable manner in the spatiotemporal fusion module. Convolutional operations are implemented to generate the final forecasts.

The results indicate that the proposed model performs better in forecasting accuracy than some popular benchmark models, demonstrating its significant forecasting performance. Incorporating dynamic spatiotemporal features is an effective strategy for improving forecasting. It can provide an important reference to related studies.

The proposed model leverages high-frequency data to achieve accurate predictions at the micro level by incorporating dynamic spatial effects. Destination managers should fully consider the dynamic spatial effects of attractions when planning and marketing to promote tourism resources.

This study incorporates dynamic spatial effects into tourism demand forecasting models by using a transformer neural network. It advances the development of methodologies in related fields.

纳入动态空间效应在提高旅游需求预测的准确性方面具有相当大的潜力。本研究提出了一种捕捉动态空间效应的创新型深度学习模型。

本研究提出了一种基于变压器架构的新型深度学习模型, 称为时空变压器网络。该模型由三个部分组成：时空转换器、空间转换器和时空融合模块。时空转换器模块可有效提取每个景点的动态时间依赖关系。空间转换器模块可有效提取景点之间的动态空间相关性。提取的动态时间和空间特征在时空融合模块中以可学习的方式进行融合。通过卷积运算生成最终预测结果。

结果表明, 与一些流行的基准模型相比, 所提出的模型在预测准确性方面表现更好, 证明了其显著的预测性能。纳入动态时空特征是改进预测的有效策略。它可为相关研究提供重要参考。

所提出的模型利用高频数据, 通过纳入动态空间效应, 在微观层面上实现了准确预测。旅游目的地管理者在规划和营销推广旅游资源时, 应充分考虑景点的动态空间效应。

本研究通过使用变压器神经网络, 将动态空间效应纳入旅游需求预测模型。它推动了相关领域方法论的发展。

La incorporación de efectos espaciales dinámicos ofrece un considerable potencial para mejorar la precisión de la previsión de la demanda turística. Este estudio propone un modelo innovador de aprendizaje profundo para capturar los efectos espaciales dinámicos.

Se presenta un novedoso modelo de aprendizaje profundo basado en la arquitectura transformadora, denominado red de transformador espaciotemporal. Este modelo tiene tres componentes: el transformador temporal, el transformador espacial y los módulos de fusión espaciotemporal. El módulo transformador temporal extrae de manera eficiente las dependencias temporales dinámicas de cada atracción. El módulo transformador espacial extrae eficientemente las correlaciones espaciales dinámicas entre las atracciones. Las características dinámicas temporales y espaciales extraídas se fusionan de manera que se puede aprender en el módulo de fusión espaciotemporal. Se aplican operaciones convolucionales para generar las previsiones finales.

Los resultados indican que el modelo propuesto obtiene mejores resultados en la precisión de las previsiones que algunos modelos de referencia conocidos, lo que demuestra su importante capacidad de previsión. La incorporación de características espaciotemporales dinámicas supone una estrategia eficaz para mejorar las previsiones. Esto puede proporcionar una referencia importante para estudios afines.

El modelo propuesto aprovecha los datos de alta frecuencia para lograr predicciones precisas a nivel micro incorporando efectos espaciales dinámicos. Los gestores de destinos deberían tener plenamente en cuenta los efectos espaciales dinámicos de las atracciones en la planificación y marketing para la promoción de los recursos turísticos.

Este estudio incorpora efectos espaciales dinámicos a los modelos de previsión de la demanda turística mediante el empleo de una red neuronal transformadora. Supone un avance en el desarrollo de metodologías en campos afines.

This study aims to empirically analyze the impact of digital on tourism employment. It investigates how different dimensions of digital economy affect tourism employment.

Using the data of 31 provinces in China from 2003 to 2022, this study makes an empirical analysis through the fixed effect model.

The results show that the digital economy has a significant negative impact on tourism employment, which has passed endogeneity and robustness tests. Specifically, digital platforms and digital users have a negative impact on tourism employment. Digital industries have a positive impact on tourism employment. In addition, product innovation and process innovation play a partial mediating role in the digital industries mechanism that affects tourism employment.

This study has significant practical implications for reducing tourism unemployment risks caused by digital platforms and users. It is crucial to expand the benefits of digital industry growth to enhance employment.

This study contributes to enhancing both theoretical frameworks and empirical insights into tourism employment. To the best of the authors’ knowledge, this is one of the first studies to attempt to empirically analyze the impact of digital economy on tourism employment. This study also advances this body of knowledge by highlighting the mediating effect of innovation.

本研究旨在实证分析数字经济对旅游业就业的影响, 并探讨数字经济的不同维度如何影响旅游业就业。

本研究利用2003年至2022年中国31个省份的数据, 通过固定效应模型进行实证分析。

结果显示, 数字经济对旅游业就业具有显著的负面影响, 并通过了内生性和稳健性检验。具体而言, 数字平台和数字用户对旅游业就业产生负面影响, 而数字产业对旅游业就业具有正面影响。此外, 产品创新和过程创新在数字产业影响旅游业就业的机制中起到了部分中介作用。

本研究对于降低由数字平台和用户引起的旅游业失业风险具有重要的实践意义。扩大数字产业增长的就业效益是关键所在。

本研究有助于增强旅游业就业的理论框架和实证洞见。它是首次尝试实证分析数字经济对旅游业就业影响的研究之一。此外, 本研究通过强调创新的中介效应, 推进了这一领域的知识体系。

This study investigates how consumers’ perceptions of brand prominence and credibility are influenced by companies’ disclosure of transparency and quality of environmental, social and governance (ESG) information. It also examines how regulatory focus influences the relationship between purchase intention and brand credibility.

The study employs a quantitative approach, utilizing an online survey of 464 Taiwanese consumers. The data collected is analyzed using structural equation modeling (SEM) to evaluate the direct and indirect effects of perceived ESG information transparency and quality on brand prominence, brand credibility and purchase intentions.

The findings reveal that perceived transparency and quality of ESG information significantly enhance brand credibility and prominence. Consequently, increased brand credibility and prominence have a significant positive impact on consumer purchase intentions. Additionally, the study identifies a moderation effect, wherein a prevention regulatory focus strengthens the influence of brand credibility on purchase intentions.

This study contributes to the literature on brand management and consumer behavior by integrating regulatory focus theory with the impacts of ESG information. It provides new insights into how ESG-related communications influence consumer behavior, highlighting the importance of transparent and high-quality ESG data in fostering consumer trust and positive brand evaluations.

This study attempts to determine the optimal pricing and warranty strategies for remanufactured products offered by independent remanufacturers (IRs). Specifically, it takes into account price competition and warranty service competition between the original equipment manufacturer (OEM) and IR, ultimately providing recommendations on the selection of warranty service modes for IRs.

This study considers two warranty modes for IRs: in-housing and outsourcing. Based on game theory, this study identifies the conditions under which the warranty service for remanufactured product is outsourced to retailers in IR-remanufacturing mode. Furthermore, this study investigates how this strategic decision affects closed-loop supply chain (CLSC) operations by comparing the two modes in terms of profit, consumer surplus (CS), quantity and overall social welfare (SW).

Firstly, the provision strategy for IRs' warranty on remanufactured products depends mainly on the retailer’s warranty cost. If retailers have lower costs for warranties, IR opts to outsource the remanufactured product warranty to the retailer. Second, when retailers offer warranties at a lower cost, IRs prefer outsourcing remanufactured product warranty to retailers. In this way, it will maximize both the remanufacturer’s and retailer’s profits while achieving the optimal total profit for the entire supply chain. However, it’s not beneficial for the OEM. Third, the IR’s preference for warranty service provision strategy is influenced by customers’ acceptance of remanufactured product, customer sensitivity toward remanufactured product warranty and economies of scale in warranty service.

The findings offer operational insights into IR decision-making in selecting warranty service provision strategies for remanufactured products.

This study is among the first to examine warranty provision strategy for IRs in CLSC.

This study aims to examine the younger generations’ experiential consumption of foreign contemporary music online (i.e. digital music streaming services) by generation and gender in the US market.

The author proposes a sequential experiential consumption model by applying Jacoby’s refined stimulus-organism-response (S-O-R) theory to better understand the experiential sequences in foreign music consumption among young generations in the US market. The proposed model, using structural equation modeling (SEM), examines a cognitive permeable role and a hierarchical affective mediating role. Also, moderating roles of generation and gender are simultaneously tested in overall and specific causal relationships.

The refined S-O-R framework is superior to a linear one in better understanding young consumers’ online experiential foreign music consumption behavior. Moreover, hierarchical sequenced affective organismic behavior is crucial to enhance young consumers’ online music consumption experiences to regulate subsequent behavioral responses. Furthermore, gender differences but no generational differences exist in the experiential consumption process among young consumers. Nevertheless, the strength of S-O-R factors affecting experiential consumption seems idiosyncratic simultaneously in gender and generation.

The study suggests foreign music streaming services boost profitability by focusing on young consumers' psychological ownership and tailored experiences, encouraging a shift from freemium to premium subscriptions. Also, the findings recommend adopting phygital experiences using technologies like AR, VR and MR to enhance engagement and create unique, emotionally resonant experiences for young consumers, thus fostering a more profitable business model.

The authors address under-researched topics relevant to young generations by applying Jacoby’s refined S-O-R framework to foreign music consumption through online streaming. This approach delves into a lesser-explored consumer behavior framework, highlighting young generations’ musical trends. The model reveals cognitive and affective roles, offering advantages over traditional linear S-O-R models. It also uniquely incorporates the moderating effects of generation and gender in music consumption studies, addressing a gap in music-related studies.

Consumer centrism’s perspectives serve as crucial determinants in decision-making processes, yet the burgeoning discourse on global marketing’s interplay with tourism scarcely addresses the nuanced interconnections between consumer dispositions toward global or local destinations, which assert a global preference bias in developing countries and their predilections for tourist destination selection. This study aims to elucidate the dynamics between ethnocentric and xenocentric dispositions and the selection of domestic tourist locales within developing countries, conditioned to perceived authentic experiences.

Based on a sample of 264 tourists, we employed structural equation modeling and mediation analysis to determine the direct and indirect interplay of consumer centrism and the mechanisms of authenticity for destination choice and latent class analysis to unveil consumer heterogeneous profiles and their implications.

The results suggest the existence of a polycentric consumer due to the strong preference for domestic destinations among ethnocentric consumers. While xenocentrism did not have a similar direct impact, its influence on local destination choice emerged through the mediating effect of perceived authenticity. This finding provides evidence for the assumption of a global preference bias in developing nations, even within tourism contexts. Additionally, we identified four distinct heterogeneous tourist profiles based on consumer inclinations toward global and local aspects, allowing for a detailed exploration of their specific influences on tourism destinations.

Effective tourism strategies in developing countries can boost the economy based on authenticity, creating experiences that consider the duality of tourist inclinations and promoting cultural preservation. Practical examples include cultural events, themed tours, personalized marketing, influencer partnerships, social media engagement and loyalty programs, all aimed at engaging diverse consumer groups and strengthening consumer connections toward the local and xenocentric dispositions.

The study advances our understanding by proposing a polycentric profile of consumer inclinations toward tourism in developing countries, driven by the perceived authenticity of destinations. This profile highlights the nuanced interplay between ethnocentric and xenocentric dispositions, illustrating how local and global preferences coexist and influence travel decisions. By emphasizing the role of authenticity, the study provides valuable insights into the factors shaping tourism behaviors in developing countries.

This study aims to propose a novel acoustic metamaterial waveguide with active switchable channels by changing the magnetic field strength.

Based on the Bragg scattering mechanism and the force-magnetic coupling effect of magnetorheological elastomer (MRE), an acoustic metamaterial waveguide structure containing lead scatterers and an MRE/rubber matrix is constructed. By changing the external magnetic field strength, the bandgap of the acoustic metamaterial can be adjusted, and then the channels of the proposed acoustic metamaterial waveguide can be actively switched. The bandgap ranges of acoustic metamaterials containing scatterers with different sizes are different and by designing the size of the scatterers, an acoustic metamaterial waveguide can be formed. The design and control method of this study will be useful for the design of waveguides and active control of bandgaps.

The proposed switchable multi-channel waveguide and active control method can effectively control the elastic wave propagation, and the opening and closing of the channel are achieved.

This study provides a new control method for waveguides and expands the application range of MRE. The proposed design concept of adjustable waveguides can be extended for the design of waveguides, metamaterials and vibration reduction structures.

This article proposes a waveguide structure controlled by an external magnetic field in a non-contact manner based on the principle of Bragg scattering and the force-magnetic coupling effect. The model is established, and its feasibility is demonstrated through numerical simulations.

In response to the complex external structure of high-precision aviation plugs, which makes it difficult to search outside the hole and adjust inside the hole during automated assembly. This paper aims to propose an assembly framework that combines multi-agent search and variable parameter compliant control to solve this problem.

First, a multi-agent search strategy (MAS) based on Gaussian Mixture Model and Deep Q-Network was proposed to optimize displacement direction and actions, thereby improving search speed and success rate. Then, a variable parameter admittance control method (RL-VPA) based on dual delay depth deterministic policy gradient (TD3) was proposed, which dynamically optimized the internal parameters of the admittance controller and adopted state space discretization to improve convergence speed and assembly efficiency.

Compared to spiral search and single-agent search, the average search success rate has improved by approximately 10% and 6.6%. Compared to fixed admittance control and other RL-based methods, the average assembly success rate has increased by approximately 38.6%, 22% and 8.6%. Compared with the training results of the model without state discretization, it was found that state discretization helps the model converge quickly. To verify the generalization ability of the assembly framework, experiments were conducted on three different pin counts of aviation plugs, the assembly success rate reached 86.7%, all of which showed good assembly results. Finally, combining state space discretization to reduce the impact of environmental noise, improve training effectiveness and convergence speed.

MAS has been proposed to optimize displacement direction and action, improving search speed and success rate. RL-VPA is designed to dynamically optimize the internal parameters of the admittance controller, enhancing the robustness and generalization ability of the model. Additionally, state space discretization is combined to improve training effectiveness and convergence speed.

Explore the impact of Party organization embedding on firm green governance.

The regression analysis method.

The findings show that Party organization embedding significantly enhances the green governance effects of firms, with this effect being more pronounced in environments with high-quality internal control. Moreover, the study reveals that Party organization embedding facilitates green governance through mechanisms such as reducing agency costs and optimizing management decisions. Agency costs have a negative transmission effect, while management decisions have a positive transmission effect, with the quality of internal control playing a crucial moderating role.

Most existing studies on firm green governance have focused on aspects such as the heterogeneity of management teams (Liu, 2019; Wu et al., 2019), executive green cognition (Fineman and Clarke, 1996; Huang and Wei, 2023), organizational structure and the involvement of controlling families (Bertrand and Schoar, 2006; Symeou et al., 2019), with limited attention to the unique role of Party organizations’ incentive and restraint mechanisms, supervisory power and management functions in firm green governance. Additionally, while scholars have examined the impact of political embedding in firms, including Party organization embedding as a specific form of political embedding, and find that it affects various aspects of business performance (Chang and Wong, 2004; Gu and Yang, 2023), governance quality (Li et al., 2020; Huang and Yang, 2024), agency costs (Qian, 2000; Wang and Ma, 2014), excessive management compensation (Chang and Wong, 2004; Chen et al., 2014), social externalities and audit needs (Faccio, 2006; Cheng, 2022), there is still insufficient discussion on how Party organization embedding promotes firm green governance. Particularly in the context of China’s unique system and using Chinese data, there is a need for more in-depth research on the impact of Party organization embedding on firm green governance. This paper addresses this research gap by empirical analysis.

Overall, this study has significant theoretical and practical implications. Theoretically, it enriches the literature on Party organization embedding and firm green governance, filling a gap in the intersection research of firm governance and green governance. Practically, on the one hand, this paper’s findings demonstrate that the involvement of Party organizations in firm governance plays a significant role in enhancing green governance. This supports the modernization of firm governance in China, establishes a micro-level foundation for achieving the strategic goals of “carbon peaking and carbon neutrality” and offers empirically-backed insights into green transformation for policymakers. The research also provides practical policy recommendations for strengthening Party building efforts within firms and optimizing government-business relations, thereby facilitating the deep integration of Party building with business operations. On the other hand, this study highlights that the unique feature of China’s corporate governance system, Party organization embedding, can effectively enhance green governance. This offers empirical support for leveraging the strengths of China’s firm governance model and provides valuable governance strategies for firms in other countries and regions to improve their green governance practices.

This study’s social implications are significant as it highlights the broader societal benefits that arise from integrating Party organization involvement into firm governance structures, especially within the context of green governance. By improving the green governance practices of firms, Party organization embedding helps to address pressing environmental issues such as pollution, carbon emissions and resource depletion, which ultimately contributes to healthier living environments and a more sustainable society. The emphasis on green governance supports China’s national strategy for sustainable development and demonstrates a governance model that balances economic growth with environmental stewardship. Additionally, the study underscores the role of Party organizations in fostering social responsibility, equity and cohesion by ensuring that firm decision-making aligns with both economic and social welfare goals. This model of governance provides a framework that can serve as a reference for other countries and regions looking to enhance environmental protection efforts while maintaining social stability and economic progress.

This study offers original insights by exploring the distinctive role of Party organization embedding in enhancing firm green governance within the unique context of China’s political and economic systems. Unlike previous research, which has primarily focused on conventional governance structures, this paper delves into the underexplored area of how Party organizations influence firm-level green governance. By examining the direct and indirect effects of Party organization embedding, this study expands current understanding of corporate governance models that integrate political structures, providing a novel perspective on how firms can achieve both economic and environmental objectives. The findings not only contribute to the literature on green governance but also present a valuable model for emerging economies that are pursuing sustainable development. This research thus provides a meaningful addition to the dialogue on corporate governance innovation and environmental responsibility.

New quality productive forces (NQPF) are critical for high-quality economic development. As digital mergers and acquisitions (M&As) gain prominence in corporate digital transformation, understanding their impact on NQPF is essential. This study explores whether digital M&As enhance NQPF in firms and identifies key mechanisms that drive this effect.

This study investigates the impact of corporate digital M&As on NQPF using a multi-period difference-in-difference (DID) methodology. Analyzing a sample of Chinese listed firms from 2011 to 2021, the study explores how digital M&As contribute to NQPF, identifying firm innovation and data assets as key mechanisms. It also examines how external factors, such as industrial structure, urban human capital and economic policy uncertainty, moderate the effect of digital M&As on NQPF.

The study reveals three key findings: (1) Digital M&As significantly enhance corporate NQPF; (2) innovation and data assets serve as key mechanisms through which digital M&As drive NQPF and (3) external factors, including industrial structure, urban human capital and economic policy uncertainty, amplify the positive effects of digital M&As on NQPF.

Firms should leverage digital M&As as a strategic tool for improving NQPF, focusing on innovation and data assets. Policymakers can support this transformation by fostering an environment that enhances the positive impact of digital M&As on economic development.

This paper introduces a novel NQPF index, offering a comprehensive measurement of the concept. It provides new insights into how digital M&As affect NQPF, filling a gap in the literature on digital transformation and offering actionable recommendations for firms and policymakers.