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Social recommendation has been recognized as a kind of e-commerce with large potential, but how social recommendations influence consumer decisions is still unclear. This paper aims to investigate how recommendations from different social ties influence consumers’ purchase intentions through both behavior and brain activity.

Utilizing behavioral (N = 70) and electroencephalogram (EEG) (N = 49) experiments, this study explored participants’ behavior and brain responses after being recommended by different social ties. The data were analyzed using statistical inference and event-related potential (ERP) analysis.

Behavioral results show that social tie strength positively impacts purchase intention, which can be fitted by a logarithmic model. Moreover, recommender-to-customer similarity and product affect mediate the effect of tie strength on purchase intention serially. EEG findings show that recommendations from weak tie strength elicit larger N100, N200 and P300 amplitudes than those from strong tie strength. These results imply that weak tie strength may motivate individuals to recruit more mental resources in social recommendation, including unconscious processing of consumer attention and conscious processing of cognitive conflict and negative emotion.

This study considers the effects of continuous social ties on purchase intention and models them mathematically, exploring the intrinsic mechanisms by which strong and weak ties influence purchase intentions through recommender-to-customer similarity and product affect, contributing to the applications of the stimulus-organism-response (SOR) model in the field of social recommendation. Furthermore, our study adopting EEG techniques bridges the gap of relying solely on self-report by providing an avenue to obtain relatively objective findings about the consumers’ early-occurred (unconscious) attentional responses and late-occurred (conscious) cognitive and emotional responses in purchase decisions.

This study aims to analyse what factors influence ethnic minority group (EMG) college students’ attitudes towards promoting online start-ups and how their different attitudes impact their final online start-up behaviours on the live streaming platform. Based on the COM-B behaviour changing model and the theory of liberal and conservative attitudes, the research model has been established in this study, and it divides influencing factors into the environmental opportunity unit and personal capability unit.

To test relationships among the environmental opportunity, personal capability and personal attitude units, the partial least squares path modelling and variance-based structural equation modelling have been applied on the SmartPLS. Meanwhile, this study considers the regional difference between China’s developed and less-developed regions and promotes multi-group analysis based on it.

Research results show that the online start-up opportunity and capability positively affect EMG college students’ liberal attitudes but reduce EMGs’ conservative attitudes. Meanwhile, this study finds four significant differences, such as the path between conservative attitude and EMG students’ online start-up behaviour and the path between online start-up capability and conservative attitude.

This paper analyses the relationship between influencing factors and EMG students’ online start-up attitudes based on the COM-B behaviour changing model, contributing to the theoretical implications. Meanwhile, considering the impact of regional differences, this paper promotes the multi-group analysis and compares EMG college students from developed regions and others from less-developed areas.

These words of introduction locate me on my tribal ancestral lands, and centres me as belonging to the Martuwarra, Fitzroy River in the Kimberley region of Western Australia. My family and community’s inter-generational lived experiences of colonisation are grounded in the characteristics and learnings of “conflict, manipulation, dived and rule” as invasive unjust strategies of oppression and anti-dialogic action. These characteristics of oppression reflect invasive and unjust developments, colonialism continues to impact on our daily lives and threaten our cultural heritage, lifeways and livelihoods (Freire, 2005).

I understand the Net Zero: Heritage for Climate Action is a first of its kind, a capacity development project that aims to use Indigenous knowledge to develop integrated strategies for disaster risk reduction, climate action and peacebuilding (Jarillo and Crivelli, 2024). Importantly, one of the aims of the Net Zero Project is to enhance risk reduction and coping capacities of vulnerable heritage communities. In this way, my video story speaking directly to the International Union for the Conservation of Nature (IUCN) highlights the interconnected issue of heritage safeguard, upholding cultural rights and sustainable development of our people who are vulnerable cultural bearers, importantly, how we are working to effect change locally, while strengthening efforts globally, as we see ourselves as planetary citizens with a duty of care to Mother Earth and humanity (Redvers et al., 2020).

The opportunity for freedom is being created through the growing coalitions of hope (Poelina, 2020). Organisations with a regenerative focus are connecting, networking, collectively thinking and transforming our world by being brave and challenging legal systems to recognise “rivers” as the lifeblood of our planet and our survival co-dependent on “a declaration of peace with Indigenous Australians with natures laws and first law” (RiverOfLife et al., 2024). Together we are decolonising our thinking; uniting and bringing together a pluriverse of ideas and actions to right size our planet and give humanity and Mother Earth a climate chance (RiverOfLife et al., 2024).

The final question, I ask my country and the world to sustain my culture, my home, my lifeways and my livelihood “can we achieve peace, harmony and balance”? Can we shift from business as usual, to the new economies, through intentional communities, through bicultural and bioregional planning and development? If the answer is yes, then there is hope for humanity, and the young ones yet to be born. Let us adopt the values, ethics and virtues found in First Law as a gift to healing our lands, our people and climate.

It is clear from the voices of Yi-Martuwarra people, “If [our] River Dies, We Die” (Moore et al., 2023). When we stand united, we hold the dreaming time, from past, present and future, and we sing together a new “Martuwarra River Time” song. Through this moral and ethical partnership of hope the Net Zero Project Heritage for Climate Action ignites the opportunity to transform climate change, climate chaos and provide the climate chance through just us!

Yi-Martuwarra people highlight the need for dialogue, unity, cooperation and multiple forms of evidence, to understand the cumulative impacts of development. It is clear from the voices of Yi-Martuwarra people, “If [our] River Dies, We Die” (Moore et al., 2023). When we stand united, we hold the dreaming time, from past, present, and future, and we sing together a new “Martuwarra River Time” song. Through this moral and ethical partnership of hope the Net Zero Project Heritage for Climate Action ignites the opportunity to transform climate change, climate chaos and provide the climate chance through just us!

As the impacts of climate change continue to intensify, it is imperative to centre Indigenous well-being in adaptation efforts by enabling bottom-up approaches via community-led solutions, promoting land rights, protecting traditional heritage and cultural practices and cultivating social connections. Given the increasing recognition of well-being as a fundamental marker of successful adaptation, it should be central to climate change research and policymaking, but for this to be of benefit to Indigenous Peoples and local communities context-specific understandings of health and well-being are necessary (Jarillo and Crivelli, 2024).

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.

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 light of the shift in focus from information communication technology (ICT) access (access divide) and skills (skills divide) to the tangible impacts of ICT use (impact divide), a growing number of scholars have called for further investigation into the inter-territorial and multi-dimensional aspects of the digital divide in China. This study aims to address these gaps by examining the disparities across 31 provinces, particularly emphasizing the transition from the traditional access and skills divides to the impact divide.

Multivariate regression analysis extensively investigates the transition from the access and skills divides to the impact divide across 31 provinces. Additionally, ArcGIS software is used to analyze spatial agglomeration and the auto-correlation (Moran-i) and predict mapping patterns in the data corresponding to all three levels of the digital divide.

According to the study's findings, poverty is a significant factor in the digital divide between different regions in China. The research shows that provinces with advanced administrative systems, such as Guangdong, Shanghai, Beijing, Jiangsu, Shandon and Zhejiang, have high scores on the digital development index (DDI). However, regions with poverty-ridden and rural areas, primarily located in southwest, central and western China, tend to have lower DDI scores.

This study offers a novel contribution to the literature by presenting an innovative conceptual framework that explores the impact divide within China's provinces. The authors also address this lacuna in the literature by developing and testing two dimensions to examine the relationships statistically under a wide range of socioeconomic and ICT indicators.

The purpose of this study is to examine the relationships between tourists’ motivations, perception of tourism impacts, place attachment (PA) and loyalty toward Jallianwala Bagh, a dark heritage site in Punjab, India.

A mixed-method approach comprising qualitative and quantitative methods was used. Semi-structured interviews and the Delphi method helped generate a 34-item survey instrument. A sample size of 869 respondents was obtained, split into two subsets for exploratory factor analysis and confirmatory factor analysis.

Seven out of nine hypotheses were supported. Motivated tourists perceived higher positive tourism impacts but lower negative tourism impacts. Higher perceptions of positive tourism impacts increased both PA and loyalty to the destination. Surprisingly, the perception of negative tourism impacts did not significantly affect tourist loyalty, contrary to some previous research.

This study informs stakeholders about tourists’ cognitive and affective responses at a dark tourism site, aiding in the planning and development of sustainable tourism strategies.

By understanding the tourists’ motivations and perceptions, stakeholders can manage tourism impacts more effectively, ensuring that tourists’ experiences align with sustainable practices.

This study enriches the understanding of the tourists’ complex interactions with dark heritage sites. It introduces a new angle by examining how motivations, PA and perceptions of tourism impacts influence tourist loyalty, especially in the context of dark tourism.

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.

This study examines why long-term relationships between expert users and smart voice assistants (SVAs) develop. It postulates that the five dimensions of experience (i.e. sensory, affective, intellectual, behavioural and relational) generate feelings of love for SVAs. The formation of love is examined considering three components: passion, intimacy and commitment. These feelings encourage users to continue employing and to generate long-term relationships with SVAs.

Data from a survey of 403 USA expert users of SVAs provide the input for structural equation modelling.

The results show that three dimensions of experience influence users’ passion towards SVAs: affective, intellectual and behavioural. Moreover, passion can convert the effect of users’ experiences into intimacy and commitment. Finally, intimacy and commitment increase users’ intentions to continue using SVAs.

The findings obtained make three original contributions. First, this study is the first to analyse expert users of SVAs and the post-technology adoption stage. Therefore, it introduces a new case of relational marketing in smart technologies. Second, this study contributes by applying a new theoretical perspective that evaluates the importance of users’ experiences with SVAs. Third, it takes an interpersonal approach to explore user-SVA interactions, revealing that users can develop human-like love feelings for SVAs.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-10-2022-0570

The purpose of this study is to investigate the effectiveness of a composite lubrication system combining polytetrafluoroethylene (PTFE) film and oil lubrication in steel–steel friction pairs.

A PTFE layer was sintered on the surface of a steel disk, and a lubricant with additives was applied to the surface of the steel disk. A friction and wear tester was used to evaluate the tribological properties and insulation capacity. Fourier transform infrared spectrometer was used to analyze the changes in the composition of the lubricant, and X-ray photoelectron spectroscopy was used to analyze the chemical composition of the worn surface.

It was found that incorporating the PTFE film with PSAIL 2280 significantly enhanced both the friction reduction and insulation capabilities at the electrical contact interface during sliding. The system consistently achieved ultra-low friction coefficients (COF < 0.01) under loads of 2–4 N and elucidated the underlying lubrication mechanisms.

This work not only confirm the potential of PTFE films in insulating electrical contact lubrication but also offer a viable approach for maintaining efficient and stable low-friction wear conditions.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-06-2024-0222/