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This study aims to examine the impact of autonomous vehicles adoption motivations (i.e. technological, ecological and intrinsic motivation) on tourists’ pro-environmental behavior and verify the mediating role of tourists’ green self-image between the relationship of eco-friendly attitudes and autonomous vehicles adoption motivations.

The data from 586 national and international tourists were analyzed using the partial least squares method.

The findings revealed that eco-friendly attitude is a significant predictor of tourists’ green self-image; tourists’ green self-image is a significant predictor of autonomous vehicles adoption motivations; and autonomous vehicles adoption motivations are significant predictors of tourists’ pro-environmental behavior. In addition, tourists’ green self-image mediated the relationship between eco-friendly attitudes and autonomous vehicles adoption motivations.

These outcomes provide valuable guidance for the future development of green destination tourism and allow interesting implications for the tourism industry and autonomous vehicles adoption.

本研究探讨自动驾驶汽车采纳动机（即技术、生态和内在动机）对游客环保行为的影响, 并验证游客绿色自我形象在环保态度和自动驾驶汽车采纳动机之间的中介作用。

收集586份来自中国国内外游客的数据, 采用偏最小二乘法进行分析。

研究结果表明, 环保态度显著影响游客绿色自我形象, 进而影响自动驾驶汽车采纳动机, 带来游客的环保行为。此外, 游客的绿色自我形象在环保态度与自动驾驶汽车采纳动机之间起到中介作用。

本研究提出了游客绿色自我形象的概念, 将游客与环保人士的日常行为进行区分。研究结果为绿色目的地旅游业的未来发展提供了方向, 对旅游业和自动驾驶汽车的采纳产生影响。

Este estudio tiene como objetivo examinar el impacto de las motivaciones para la adopción de vehículos autónomos (es decir, motivaciones tecnológicas, ecológicas e intrínsecas) en el comportamiento proambiental de los turistas y verificar el papel mediador de la autoimagen ecológica de los turistas en la relación entre las actitudes ecológicas. y las motivaciones para la adopción de vehículos autónomos.

Se analizaron los datos de 586 turistas nacionales e internacionales mediante el método de mínimos cuadrados parciales.

Los hallazgos revelaron que la actitud ecológica es un predictor importante de la autoimagen ecológica de los turistas; la autoimagen ecológica de los turistas es un predictor importante de las motivaciones para la adopción de vehículos autónomos; y las motivaciones para la adopción de vehículos autónomos son predictores importantes del comportamiento proambiental de los turistas. Además, la autoimagen ecológica de los turistas medió la relación entre las actitudes ecológicas y las motivaciones para la adopción de vehículos autónomos.

Estos resultados proporcionan una orientación valiosa para el desarrollo futuro del turismo de destino ecológico y permiten implicaciones interesantes para la industria turística y la adopción de vehículos autónomos.

Purpose – This study aims to investigate how behavioural biases affect cryptocurrency investment choices. The study also evaluates how risk tolerance mediates the relationship between behavioural biases and investment decision-making.

Need for the Study – The study is required to refine research methods and to ensure the reliability and validity of findings on behavioural biases in cryptocurrency investment decision-making.

Methodology – This pilot study involved responses from individuals in India’s western and northern regions who either invested in cryptocurrencies or had adequate knowledge of such investments. To assess the normality, validity, and reliability of the questionnaire data, a sample of 51 individuals was analysed using SPSS software.

Findings – The results of this study validate the reliability of the questionnaire in conducting pilot research by attaining high reliability with high coefficients of measures and reasonable normality.

Originality/value – The study confirmed the tool’s efficiency to analyse various specific antecedents influencing investing choices.

This paper aims to present a modular multimodal flexible electronic skin that can be used for robot collision detection in human–robot interactions. This type of electronic skin will meet the requirements of performance indicators such as sensing mode, sensing domain coverage and dynamic data update rate in human–robot interactions.

The electronic skin uses a modular architecture, and the sensing module is designed to be adjustable in size so that it can be easily deployed on complex robot surfaces, increasing area coverage, reducing power consumption, and improving data update rates.

The authors evaluated electronic skin through experiments using a UR5 robot. Electronic skin has high static scene perception differentiation and dynamic scene perception abilities. Moreover, the robot realizes a high-speed collision response based on the electronic skin proposed in this study.

The proposed electronic skin provides crucial technical support for advancing robotic technologies, and holds promising prospects for industrial applications.

Little is known about how followers can influence leaders through affect display. This paper explores the relationship between follower affect and leader support through the mediating processes of leader social mindfulness and leader affect.

This paper is based on two studies (Pakistan and New Zealand) and employs a multisource time-lagged design. Multilevel analysis was conducted using the MLwiN program to test hypotheses.

Follower positive affect has a beneficial impact on leader support behavior, and negative affect has a detrimental effect. Leader affect and social mindfulness partially mediate these direct relationships.

Leaders should acknowledge that followers, too, can influence them via affect display. Organizations need to train leaders to boost their emotional intelligence.

This research provides additional evidence on follower-leader influences. It adds to leadership literature by providing a novel understanding of the underlying mechanisms of how follower affect can shape leader factors.

Over the past few decades, a large number of research studies have examined tourism. However, studies that examine halal tourism are still limited. Therefore, the purpose of this study is to conduct a bibliometric analysis related to halal tourism based on the results of empirical research studies that have been published.

The approach in this study uses a systematic literature review related to halal tourism as a reference in “Article Title, Abstract and Keywords” based on the Scopus database from 1997 to 2023. The analysis was conducted on January 8, 2023. The data that has been collected will be analyzed bibliometrically using VOSviewer.

The research findings show that research related to halal tourism is still relatively rare, especially in countries/locations where the majority of the population is non-Muslim. This can be seen from the majority of previous studies conducted in Muslim-majority countries/locations, such as Malaysia and Indonesia. Future research should be conducted in countries/locations where the majority of the population is non-Muslim.

This study relies on research in halal tourism literature in the Scopus database. Future studies can combine with the Web of Science database to expand generalization.

The results of this study include implications for managing and developing sustainable halal tourism in the future for practitioners.

The results of this study provide a strategic perspective to practitioners and society in general to find out how the concept of sustainable halal tourism development in the future is in accordance with Islamic sharia.

Research related to halal tourism is currently starting to develop in various countries, both with a majority Muslim and non-Muslim population. In addition, until now research related to halal tourism is still limited literature that discusses.

The purpose of this study is to reduce the cogging torque in axial flux permanent magnet (AFPM) machine using optimal magnet shape.

This study analyzes different magnet shapes for AFPM machine performance enhancement. Three-dimensional (3D) finite element analysis is performed to see the effects of pole shaping on the cogging torque of the AFPM machine.

The magnetic pole shape has a significant effect on cogging torque and overall efficiency. The conventional model has the highest torque whereas the conventional skewing affected cogging torque positively and significantly reduced the cogging torque. The combination of skewing the pole along with face curving is more effective and decreases the cogging torque from 3.88 Nm to 1.5 Nm.

Rare-earth magnets are the most expensive and important part of AFPM machines. Shape and volume optimization of rare-earth magnets is crucial for the performance of AFPM machines. The research aims to analyze the different permanent magnet designs for performance improvement of the AFPM machine. Conventional flat top trapezoidal, curved-top and skewed-magnet shapes are analyzed and the performance of the AFPM machine is compared with different magnet shapes. Curved-top shape and skewed magnet significantly reduce the cogging torque. Furthermore, a combination of curved-top shape and skew magnet shape is proposed to reduce the cogging torque further and improve the AFPM machine’s overall performance. Newly proposed magnet profile gives skewed curve magnet shapes which reduce the cogging torque further. 3D finite element analysis has been used to analyze the single-sided AFPM with all four different magnet shapes. The research focuses on single-sided AFPM machines, but the results are also valid for double-sided AFPM machines and can be extended to other topologies of AFPM machines.

The objective is to ascertain and amalgamate the extant data about farmers' plans for climate change adaptation and mitigation. The chapter provides comprehensive insights to help farmers and policymakers make informed and relevant decisions.

We conducted five-step scoping review procedure with key databases: Scopus, ProQuest, Science Direct, Springer Link and PLOS ONE. The keywords including climate change AND Agriculture AND production AND rice AND farmer AND farming AND mitigation AND adaptation AND resilience AND Indonesia focusing on publications from 2013 to 2023. We employed PRISMA-Scr protocol and data were thematically extracted using NVivo 12 Plus tool.

The search yielded 878 records, of which 116 were screened in full text, and 37 were included in the review. Key findings indicate that adaptation strategies and management planning involving social capital and social networks are essential for anticipating and responding to climate change-induced disasters. The collaboration between farmers, farmer groups, government and NGOs is pivotal for climate change mitigation.

The research implications highlight the need for targeted policy interventions and capacity-building initiatives to enhance farmers' knowledge and skills in climate change adaptation, fostering collaboration among various stakeholders.

The originality and value of the paper lie in the comprehensive review of the adaptive measures and strategies employed by farmers in Indonesia to mitigate the impacts of climate change on agriculture. This contribution is significant as it not only addresses local challenges but also connects them to broader global discussions on food security and climate adaptation.

This chapter provides a comprehensive examination of financial technology (fintech) firms, exploring their background, features, products and services. Framed within the themes of financial innovation, disintermediation and disruption, the chapter examines the transformative impact of fintech on the financial industry. Fintech firms leverage advanced technology to offer innovative financial solutions, such as mobile payment systems, robo-advisors and peer-to-peer (P2P) lending platforms, thereby enhancing accessibility and efficiency in financial services. The regulatory environment is highlighted, noting that while traditional banks are heavily regulated, fintech firms often operate with more flexibility, raising potential concerns about regulatory arbitrage and associated risks. The continued evolution of fintech, driven by advances in artificial intelligence (AI), blockchain and data analytics, holds significant potential for further transforming the financial industry. This chapter sets the stage for ongoing exploration of fintech's implications and future developments.

Building on upper-echelon and institutional theories, this study aims to investigate the relationship between CEO integrity and corporate sustainable development goals (SDGs) disclosures. It focuses on the mediating role of business reputation and the moderating influence of country-level competitiveness (HC-C).

The study is based on a comprehensive data set of 3,588 firm-year observations from Fortune-listed businesses from 2016 to 2023. It uses a multilevel generalized linear mixed-effects model with Heckman’s two-step adjustments to control endogeneity.

The study yields a significant finding: CEO integrity is a key driver of enhanced SDG disclosures, with business reputation playing a crucial mediating role. Moreover, home country competitiveness (HC-C) strengthens the relationship between CEO integrity and corporate SDG disclosures, suggesting practical implications for firms operating in different contexts in different countries.

The research offers valuable insights into how firm reputation intervenes in the relationship between CEO integrity and SDG disclosure. It also provides a deeper understanding of how country-level competitiveness augments this relationship, empowering firms to make informed decisions when operating in different countries.

This study significantly contributes to the Upper echelon theory, which states that senior executives’ traits strongly influence organizational outcomes, making CEO integrity especially important. It also contributes to the institutional theory by arguing that legal frameworks and social norms shape firms’ strategic choices.

This study aims to examine the evolution of virtual reference service (VRS) research in the 21st century, aiming to identify emerging trends, research hotspots, prolific scholars and knowledge structures. It seeks to provide insights into global research patterns and collaborations within the field.

A four-step approach was used to analyze VRS research. Data were collected from the Scopus database, and tools such as Biblioshiny, Word Cloud, LDAShiny, BERTopic (for topic modeling) and VOSviewer were applied. The study focused on social network analysis and conceptual structure evaluations of 1,633 documents, collected via a specific search string. The analysis covers the period from 2000 to 2023, highlighting trends and collaboration patterns in VRS research.

The bibliometric analysis of 1,632 publications by 3,108 scholars reveals significant growth in VRS research, with a notable surge during COVID-19 (2020–2022). Technological advancements and global research expansion have driven this rise. A small group of top-tier journals accounts for 33.3% of publications. Collaboration networks among authors and institutions remain limited, while keyword analysis identifies seven key research clusters that highlight various VRS aspects and trends.

The findings suggest that VRS research is experiencing a technological transformation, driven by innovations such as chatbots, AI assistance and augmented reality, which are expected to shape the future of the field.

This study uniquely integrates VRS practices with modern technological advancements, offering valuable insights for future research and potential breakthroughs in VRS.