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Educational accountability and student achievement polarization, which result in high dropout rates, pose significant challenges and pressures on teachers' pedagogical leadership. Whether pedagogical leadership, which originates in the Western educational environment, can significantly improve student achievement in Chinese high schools remains unclear. This concept has not yet been fully explored in the Chinese educational environment, and its direct impact on student achievement and the mediating role of English teaching methods remain to be investigated. However, existing research has concentrated on the effectiveness of principals' pedagogical leadership, with variations in teachers' pedagogical leadership practices. Many reform measures have been implemented in China to improve student achievement, but past educational practices have analyzed the impact on student achievement from a single instructional leadership, school capital or teaching method perspective. Furthermore, there is a lack of multidimensional and systematic assessments of the direct effects of teacher pedagogical leadership on student achievement and the mediating effects of English teaching methods.

To address this gap, this study analyzed the impact of teachers' pedagogical leadership on student achievement and the mediating effect of English teaching methods with the support of the theory of action for teacher leadership, specifically using pedagogical leadership and English teaching methods models.This study conducted a questionnaire survey of 968 participants in Taian City, China, and quantitatively analyzed the data using SmartPLS structural equation modeling (SEM).

This study revealed that pedagogical leadership has a positive direct effect on student achievement. Meanwhile, among the four mediating factors, the Direct Method, Audio-Lingual Method and Communicative Language Teaching had significant mediating effects.

This study shows that the effective use of academic and professional capital allocation in pedagogical leadership, combined with effective measures of using multiple effective English teaching methods, helps achieve high-quality student achievement.

To address challenges such as inadequate funding and inefficiency in public infrastructure construction, PPPs have gained significant global traction. This study aims to comprehensively assess the impacts and mechanisms of PPPs on the SDI and to provide rational policy recommendations based on the findings.

We collated a dataset from 30 Chinese provinces covering the years 2005–2020 as our research sample. The study’s hypotheses are tested using a double fixed-effects model, a chained mediated-effects model and a multidimensional heterogeneity analysis.

Our findings indicate that PPPs have a facilitating effect on SDI in general. This boost usually lags behind policy implementation and is cyclical in the time dimension. In the spatial dimension, PPPs contribute significantly to SDI in the eastern and western regions, but not in the central region. From the perspective of the dynamics of economic, social and industrial development, PPPs in economically backward areas are difficult to promote SDI, promote it the most in economically medium regions and are slightly less in economically developed regions than in medium regions. This promotion effect has an inverted U-shaped relationship with social development and diminishes with industrial structure upgrading. Finally, due to the negative relationship between PPPs and social development and between social development and SDI, PPPs are shown to contribute to SDI and are identified as critical paths. However, PPPs suppress SDI by inhibiting economic and industrial development.

This study makes three novel contributions to the existing body of knowledge: (1) we innovatively introduce the United Nations Sustainable Development Goals (SDGs) into the field of infrastructure research, offering fresh perspectives on SDI enhancement; (2) revealing the mechanisms by which PPPs affect SDI through the three dimensions of economic, social and industrial development enabling policymakers to better understand and optimize resource allocation and improve planning, design and management of PPP projects for sustainable infrastructure and (3) we assess the spatiotemporal variances of PPPs’ effects on SDI and the diversity across regions at different social, economic and industrial structures developmental stages, offering critical insights to global decision-makers to devise tailored policy measures.

COVID-19 halted global tourism, prompting stakeholders to use virtual reality (VR) tourism to maintain interest. Due to technological advancements and wider internet access globally, VR tourism has become increasingly popular. Guided by the attention-interest-desire-action (AIDA) model and the technology acceptance model (TAM) frameworks, and with the inclusion of personal innovativeness, this study aims to clarify consumer intentions toward engaging with VR tourism by investigating factors such as personal innovativeness, interest, perceived usefulness (PU), perceived ease of use (PEOU), attitude and desire.

Data was gathered from 252 participants using a cross-sectional approach, with partial least squares structural equation modeling used to assess the research model.

The findings indicate consumers' personal innovativeness strongly influences VR tourism intention, mediated by PU, attitude and desire. VR tourism intention is also significantly impacted by interest in VR tourism and is mediated by PU and PEOU, attitude and desire. PEOU and PU are significantly linked to interest and determine attitude. Attitude, both directly and indirectly, significantly influences VR tourism intention through users' desire, which mediates the relationship. Through multiple group analysis, the path from desire to intention is found to be moderated by age, education and marital status.

Theoretically, this study pioneers a framework that merges AIDA, TAM and personal innovativeness to advance the understanding of VR tourism adoption dynamics and enrich tourism research. Managerially, it provides valuable guidance on targeting communications and technology toward increasing VR tourism engagement and presents a roadmap for industry practitioners.

This research addresses the identified gaps in extant literature by combining TAM and AIDA with personal innovativeness to investigate the process of consumers' VR tourism intention, triggered by consumers' personal innovativeness and interest in VR tourism. The study highlights significant managerial insights for both tourism industry practitioners and academic researchers, which can assist with decision-making to promote VR tourism development.

COVID-19 使全球旅游业停滞不前, 促使利益相关者使用虚拟现实 (VR) 旅游来保持兴趣。由于技术进步和全球互联网接入的增长, VR 旅游变得越来越受欢迎。基于注意-兴趣-渴望-行动模型 (AIDA) 和技术接受模型 (TAM) 框架, 并纳入个人创新性, 本研究旨在通过调查个人创新性、兴趣、感知有用性、感知易用性、态度和渴望等因素, 澄清消费者对参与 VR 旅游的意图。

使用横截面方法收集了252名参与者的数据, 并使用偏最小二乘结构方程建模来评估研究模型。

研究结果表明, 消费者的个人创新性通过感知有用性、态度和渴望显著影响 VR 旅游意图。VR 旅游意图也受到对 VR 旅游兴趣的显著影响, 并通过感知有用性、感知易用性、态度和渴望进行调节。感知易用性和感知有用性显著与兴趣相关, 并决定态度。态度通过用户的渴望直接和间接地显著影响 VR 旅游意图, 这些渴望调节了这种关系。通过多群组分析, 发现年龄、教育和婚姻状况对渴望与意图之间的路径具有调节作用。

本研究通过结合 TAM 和 AIDA 与个人创新性来研究消费者的 VR 旅游意图过程, 填补了现有文献中的空白。本研究强调了对旅游业从业者和学术研究人员的重大管理见解, 这些见解可以帮助决策者推动 VR 旅游的发展。

从理论上讲, 本研究开创了一个结合 AIDA、TAM 和个人创新性的框架, 以提升对 VR 旅游采用动态的理解, 并丰富旅游研究。从管理角度来看, 它提供了有价值的指南, 帮助定位通信和技术, 以增加 VR 旅游参与度, 并为行业从业者提供了发展路线图。

El COVID-19 detuvo el turismo global, lo que indujo a las partes implicadas a utilizar el turismo de realidad virtual para mantener el nivel de interés. Debido a los avances tecnológicos y al acceso más amplio a Internet a nivel mundial, el turismo de realidad virtual se ha vuelto cada vez más común. Basándose en el modelo de Atención-Interés-Deseo-Acción (AIDA) y en el modelo de aceptación tecnológica (TAM), y con la inclusión de la innovación personal, este estudio tiene como objetivo comprender las intenciones de los consumidores hacia el compromiso con el turismo de realidad virtual investigando factores como la innovación personal, el interés, la utilidad percibida, la facilidad de uso percibida, la actitud y el deseo.

Se recopilaron datos de 252 participantes utilizando un enfoque transversal, y se utilizó la modelización de ecuaciones estructurales de mínimos cuadrados parciales para evaluar el modelo de investigación.

Los resultados indican que la innovación personal de los consumidores influye fuertemente en la intención de turismo de realidad virtual mediada por la utilidad percibida, la actitud y el deseo. La intención de turismo de realidad virtual también se ve significativamente afectada por el interés en el turismo de realidad virtual y está mediada por la utilidad percibida y la facilidad de uso percibida, la actitud y el deseo. La facilidad de uso percibida y la utilidad percibida están significativamente relacionadas con el interés y determinan la actitud. La actitud influye tanto directa como indirectamente de manera significativa en la intención de turismo de realidad virtual a través del deseo de los usuarios, que media en la relación. A través del análisis de múltiples grupos, se encontró que la edad, la educación y el estado civil moderan la relación entre el deseo y la intención.

Desde el punto de vista teórico, este estudio es pionero en la creación de un marco que aúna AIDA, TAM e innovación personal para avanzar en la comprensión de la dinámica de adopción del turismo de realidad virtual y enriquecer la investigación turística. Desde el punto de vista de la gestión, ofrece una valiosa orientación sobre cómo orientar las comunicaciones y la tecnología para aumentar la participación del turismo de realidad virtual y presenta una hoja de ruta para los profesionales del sector.

Esta investigación aborda las lagunas identificadas en la literatura existente mediante la integración de TAM y AIDA con la innovación personal para analizar el proceso de la intención de los consumidores de turismo de realidad virtual, provocada por la innovación personal de los consumidores y el interés en el turismo de realidad virtual. El estudio pone de relieve importantes perspectivas de gestión tanto para los profesionales del sector turístico como para los investigadores académicos, que pueden ayudar en la toma de decisiones para promover el desarrollo del turismo de realidad virtual.

Using cognitive appraisal theory, this study aims to propose and test an integrated framework – comprising robotic service quality, robotic service authenticity, customer existential authenticity and customer revisit intention – on diners with experience using robotic technology in restaurants. The moderating role of robotic appearance is in the hypothesised relationship.

Data was gathered through a Web-based survey delivered to 428 diners who had experience using robotic services in restaurants in China. The hypotheses were analysed using a structural equation model and multi-group analysis was used to analyse the moderating effect.

The findings indicate that functional service quality positively influences robotic service authenticity and existential authenticity. However, technical service quality only affects existential authenticity, which leads to revisit intention. Robotic appearance moderated the relationship between functional service quality and service authenticity.

Restaurateurs should enhance robotic service authenticity, existential authenticity and revisit intention by improving robotic technical service collaborating with robot manufacturers and operators.

Focusing on cognitive appraisal theory, the findings serve as a starting point for investigating robotic service quality and authenticity in robotic service settings theoretically and empirically.

The purpose of this paper is to study the corrosion behavior of Q235 steel in saturated acidic red and yellow soils.

The corrosion behavior of Q235 steel in saturated red and yellow soils was compared by weight-loss, SEM/EDS, 3D ultra-depth microscopy and electrochemical measurements.

R_p of the steel gradually increases and i_corr gradually decreases in both the red and yellow soils with time. The R_p of the steel in the red soil is lower, but its i_corr is higher than that in the yellow soil. The uniform corrosion rate, diameter and density of the corrosion pit on the steel surface in the red soil are greater than those in the yellow soil. Lower pH, higher contents of corrosive anions and high-valence Fe oxides in the red soil are responsible for its higher corrosion rates and local corrosion susceptibility.

This paper investigates the difference in corrosion behavior of carbon steel in saturated acidic red and yellow soils, which can help to understand the mechanism of soil corrosion.

The purpose of this study is to analyze the dynamic changes of the arms trade network not only from the network structure but also the influence mechanism from the aspects of the economy, politics, security, strategy and transaction costs.

The study employs the Temporal Exponential Random Graph Model and the Separable Temporal Exponential Random Graph Model to analyze the endogenous network structure effect, the attribute effect and the exogenous network effect of 47 major arms trading countries from 2015 to 2020.

The results show that the international arms trade market is unevenly distributed, and there are great differences in military technology. There is a fixed hierarchical structure in the arms trade, but the rise of emerging countries is expected to break this situation. In international arms trade relations, economic forces dominate, followed by political, security and strategic factors.

Economic and political factors play an important role in the arms trade. Therefore, countries should strive to improve their economic strength and military technology. Also, countries should increase political mutual trust and gain a foothold in the industrial chain of arms production to enhance their military power.

The contribution of this paper is to analyze the special trade area of arms trade from a dynamic network perspective by incorporating economic, political, security, strategic and transaction cost factors together into the TERGM and STERGM models.

Vision transformers (ViT) detectors excel in processing natural images. However, when processing remote sensing images (RSIs), ViT methods generally exhibit inferior accuracy compared to approaches based on convolutional neural networks (CNNs). Recently, researchers have proposed various structural optimization strategies to enhance the performance of ViT detectors, but the progress has been insignificant. We contend that the frequent scarcity of RSI samples is the primary cause of this problem, and model modifications alone cannot solve it.

To address this, we introduce a faster RCNN-based approach, termed QAGA-Net, which significantly enhances the performance of ViT detectors in RSI recognition. Initially, we propose a novel quantitative augmentation learning (QAL) strategy to address the sparse data distribution in RSIs. This strategy is integrated as the QAL module, a plug-and-play component active exclusively during the model’s training phase. Subsequently, we enhanced the feature pyramid network (FPN) by introducing two efficient modules: a global attention (GA) module to model long-range feature dependencies and enhance multi-scale information fusion, and an efficient pooling (EP) module to optimize the model’s capability to understand both high and low frequency information. Importantly, QAGA-Net has a compact model size and achieves a balance between computational efficiency and accuracy.

We verified the performance of QAGA-Net by using two different efficient ViT models as the detector’s backbone. Extensive experiments on the NWPU-10 and DIOR20 datasets demonstrate that QAGA-Net achieves superior accuracy compared to 23 other ViT or CNN methods in the literature. Specifically, QAGA-Net shows an increase in mAP by 2.1% or 2.6% on the challenging DIOR20 dataset when compared to the top-ranked CNN or ViT detectors, respectively.

This paper highlights the impact of sparse data distribution on ViT detection performance. To address this, we introduce a fundamentally data-driven approach: the QAL module. Additionally, we introduced two efficient modules to enhance the performance of FPN. More importantly, our strategy has the potential to collaborate with other ViT detectors, as the proposed method does not require any structural modifications to the ViT backbone.

In social media, crisis information susceptible of generating different emotions could be spread at exponential pace via multilevel super-spreaders. This study aims to interpret the multi-level emotion propagation in natural disaster events by analyzing information diffusion capacity and emotional guiding ability of super-spreaders in different levels of hierarchy.

We collected 47,042 original microblogs and 120,697 forwarding data on Weibo about the “7.20 Henan Rainstorm” event for empirical analysis. Emotion analysis and emotion network analysis were used to screen emotional information and identify super-spreaders. The number of followers is considered as the basis for classifying super-spreaders into five levels.

Official media and ordinary users can become the super-spreaders with different advantages, creating a new emotion propagation environment. The number of followers becomes a valid basis for classifying the hierarchy levels of super-spreaders. The higher the level of users, the easier they are to become super-spreaders. And there is a strong correlation between the hierarchy level of super-spreaders and their role in emotion propagation.

This study has important significance for understanding the mode of social emotion propagation and making decisions in maintaining social harmony.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-03-2024-0192.

The lack of a direct link between business value and sustainability is a critical roadblock to truly embedding sustainability in business strategies. Before launching the sustainability journey, every organisation should answer the question: “What value would this strategy offer our organisation?” Conversely, when organisations are opportunistic toward quick profits, the negative consequences of one domain spill over to another. The desire to produce more may result in overproduction, overconsumption or environmental pollution.

To give a complete analysis of sustainable capabilities, this study combines current theoretical understanding from past literature, followed by exploratory interviews and a thorough case study. The case study ventured into uncharted territories, unveiling an exciting new sphere of value catalysed by the mechanisms of sustainable co-creation. Additionally, it exposed thought-provoking motives driving supply chain actors’ unwavering commitment to ethical decision-making, even amidst towering challenges.

Our empirical lens reveals the hidden mechanics of resource sharing and the genesis of newfound value, illuminating previously obscure corners of the sustainability field. Moreover, it sheds light on retailers striving to cultivate green retail supply chains. It delivers an actionable framework that bolsters business sustainability and fuels competitive edge, which is vital in the rapidly evolving landscapes of emerging economies.

This study offers insights into the sustainable value-creation mechanism in ALPHA, a Malaysian retailer, uncovering how supply chain actors’ business activities generate economic, social and environmental performance.

This study is based on the role congruity theory that examines the association between top management team (TMT) gender diversity and corporate social responsibility (CSR) performance.

This study uses data from the Taiwan Economic Journal database and the Market Observation Post System provided by the Taiwan Stock Exchange. The sample consists of 4,140 annual observations of Taiwanese-listed companies in the electronics industry from 2016–2020.

The results revealed that TMT gender diversity is positively associated with CSR performance, and TMT international experience strengthens the positive association between TMT gender diversity and CSR performance.

CSR is imperative. The TMT’s gender diversity aligns with current environmental trends and social expectations, driven for CSR implementation essential. This diverse configuration enables the TMTs to address corporate adaptability and maintain global competitiveness.

The findings contribute significantly to the literature on TMT gender diversity by extending the application of role congruity theory beyond individual to team-level contexts and across gender boundaries. By incorporating diverse capabilities such as international experience within TMTs, the authors identify key boundary conditions that foster CSR. This expansion not only aligns with practical realities but also opens new avenues for research into the dynamics of diverse management teams.