bluuebunny/crossref_metadata_2025_split huggingface dataset:
The power of the content of the influencers in inducing impulse buying: mediating role of trust
Authors: Shamim Komal , Azam Muhammad 
Published: February 2025

PurposeThe present research examines an underlying mechanism outlining how features of the influencers’ content influence the consumers’ urge to buy impulsively through the mediation of trust. Moreover, the moderating role of persuasion knowledge is also investigated in this study.Design/methodology/approachBy employing persuasion theory and social capital theory, this study develops a framework that is tested on 251 social media users. The PLS-SEM modeling technique is employed for data analysis.FindingsResults indicate that vicarious expressions and informational value are the two main characteristics of the influencer’s content, which develop trust in influencers’ posts and instigate an UBI. In addition, trust in influencer posts serves as a mediator between content characteristics and UBI. However, no moderating role of persuasion knowledge was found.Originality/valueThe present study offers an inclusive understanding of how marketers can strategically use influencers by leveraging the influential power of their content.
Exploring information needed in maintenance backlog-related decision-making in the Finnish road network
Authors: Hamalainen Anne Kristiina , Vaismaa Kalle , Kolisoja Pauli Juhani 
Published: February 2025

PurposeRoad maintenance backlog (MB) is increasing rapidly in many countries, partly as a result of the changing climate conditions, increasing traffic volumes and insufficient funding for maintenance. This study aims to identify the type of information used and needed when making decisions concerning the MB of the road network.Design/methodology/approachThis qualitative study involved 21 semi-structured interviews with experts in Finland, including road authorities (7), politicians (3), maintenance specialists (4) and business representatives (7). Participants were selected using purposive sampling based on criteria such as professional designation, knowledge and experience in the field. The data were analyzed using content analysis.FindingsAt the operational level, most information pertains to the technical condition of the road network. At higher decision-making levels, MB is used more as a monetary value and a basis for budgeting. More information is required on the impact of changes in road conditions in terms of safety, the social economy, companies’ operational capabilities, logistics and CO2 emissions. These impacts need to be quantified in monetary terms for society as a whole.Research limitations/implicationsThis research covers the years 2018–2022. Although Finland served as the target country for this study, we believe that the results, presented at the political decision-making level, can be adopted and modified for countries with similar governmental decision principles and where further justifications for funding decisions are required. Additionally, insights from the asset owner perspective can assist road authorities in developed countries, while operational-level findings can be applied to other developed countries with similar geographical characteristics. The results of this study were collected from an industrialized country for the years 2018–2022. Consequently, the applicability of these findings to different time periods and countries may be limited.Practical implicationsWith the help of these findings, road authorities will be able to make decisions in a more data-driven way, which has long-term economic implications.Originality/valueThe results of this study will provide information that can be utilized by decision-makers at various levels. The research has scientific value, and in addition, the results presented in the study can lead to changes in practical applications in the field, which in turn have societal and economic impact.
Two decades of climate change discourse: a systematic review of top communication journals
Authors: Shrivastava Archana , Swartz Stephanie 
Published: February 2025

PurposeIn a globalized world where environmental sustainability is a critical success factor, effective environmental communication takes precedence. The purpose of the present study is to analyse the evolution of climate change research, primarily in communication focussed journals, over the last decade.Design/methodology/approachEmploying the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) protocol, a comprehensive analysis was conducted using research protocol on 374 studies in top ten high-ranking communication journals.FindingsThe results suggest that though effective communication strategies are crucial for generating climate awareness, contributions in communication-focussed journals remain limited. Most publications on this theme originate from the USA, Europe and Australia, with a notable lack of contributions from Asian publications. Five major themes, emerged representing the types of discussions taking place: “Green Advocacy in Corporate Communication”, “Green and sustainable IT infrastructure”, “Climate Narratives”, “Scientific discourses” and “Framing climate change”.Originality/valueThe research is original in the way it provides valuable insights for researchers, policymakers and practitioners aiming to enhance the impact of environmental communication.
Exploring the awareness of construction employees on mental health problems: applying the health belief model
Authors: Nguyen Minh Van , Khanh Ha Duy , Phan Chien Thanh , Thuc Le Dinh 
Published: February 2025

PurposePoor mental health is a well-recognized issue in the construction sector. However, there is still little understanding of factors affecting construction employees’ awareness of mental health problems (MHP). This study aims to investigate the awareness of MHP among construction employees using the Health Belief Model (HBM). The research explores how various factors, such as perceived susceptibility, perceived severity, perceived benefits, perceived barriers, cues to action and self-efficacy, shape MHP awareness within the construction sector.Design/methodology/approachA structured four-step research methodology was employed. First, a literature review and expert validation identified 28 variables relevant to MHP awareness. A questionnaire was then developed and distributed to construction employees in Vietnam, with 238 valid responses collected. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were employed to validate the evaluation model. After that, fuzzy synthetic evaluation (FSE) was used to assess the importance of each dimension of MHP awareness.FindingsThe results indicate that perceived barriers and perceived benefits were the two most significant factors in MHP awareness. The remaining dimensions – perceived susceptibility, perceived severity, cues to action and self-efficacy – were found to have a lesser but notable impact on MHP awareness.Originality/valueThis research comprehensively analyzes MHP awareness among construction employees using the HBM framework. The findings suggested that Vietnamese firms should focus on increasing cues to action and self-efficacy to improve MHP awareness among construction employees. This study also proposed that construction firms should provide more stress-reduction activities and training programs suitable to the Vietnamese context for their employees.
Reconsidering college students’ low-carbon behavior: the role of paradoxical thinking
Authors: Qian Dong , Wei Xuejing , Zhu Guoqi , Ma Xurong , Hu Beibei , Pang Xiaojun 
Published: February 2025

Purpose
This study aims to investigate the mechanism of the influence of paradoxical thinking (PT), which characterizes the ability of college students to balance and integrate the conflict between hedonic and normative goals, on their campus low-carbon behaviors.

Design/methodology/approach
The conceptual model of “PT − Paradoxical salience (climate change concern, CCC) − Paradoxical acceptance (support for low-carbon behavioral norms, SN) − paradoxical resolution (campus low-carbon intentions and behaviors, CLCIs and CLCBs)” was developed. Then, it was tested by PLS-SEM using survey data obtained from 501 Chinese college students, and the relative importance of each factor of CLCBs was determined by the importance-performance map analysis method. Finally, a mechanistic difference analysis was conducted.

Findings
PT, CCC and SN have the potential to influence the CLCBs of college students, with each of the three factors showing approximately 40% room for improvement in their impact. There exists an influential pathway of “PT → CCC → SN → CLCIs → CLCBs.” Notably, PT exhibits a stronger direct influence on college students’ private-sphere CLCBs compared to the public-sphere CLCBs.

Practical implications
Colleges should integrate the development of PT into the foundational framework of the entire education for sustainable development curriculum, while emphasizing the provision of opportunities for training in PT through pedagogical methods, and PT training can be integrated across various social levels.

Originality/value
This study offers a paradox theoretical framework for comprehending and elucidating the decision-making process underlying personal low-carbon behaviors, and advances the quantitative research of microindividual paradox processing by effectively conceptualizing and measuring paradoxical salience and acceptance.
A moderated mediation model to estimate the relationship between brands’ experiential event evaluation and WOM
Authors: Gómez-Suárez Mónica , Veloso Mónica , Yagüe María Jesús 
Published: February 2025

PurposeThis research analyses the impact of experiential marketing events on word-of-mouth for destination brands while considering the moderating role of brand familiarity and the mediating role of brand equity.Design/methodology/approachThe study is based on a survey of 844 participants in a real event organised by a leisure Spanish destination with a large inflow of national and international attendees, in conjunction with the city government where it is located.FindingsAttendees’ evaluation of the event exerted a significant positive effect on word-of-mouth. However, brand equity – which is built over time via past marketing actions – mediates this relationship. Meanwhile, brand familiarity moderates the relationship between people’s overall evaluation of the event, brand equity and positive recommendations.Practical implicationsThese results offer guidance to destination managers regarding reoccurring experiential marketing events. Participants with high appraisal of events serve to create buzz and amplify the event experience for others.Originality/valueThe study is a novel attempt to analyse the influence of visitors’ experiences on brand destination outcomes by considering the moderating role of brand familiarity – an issue that, to our knowledge, has not been assessed in the context of events. The results make clear that mere exposure to a brand does not necessarily lead to brand equity and WOM. Instead, managers must design experiential events carefully – not only to convert sporadic visitors into frequent customers but also to keep consistent clients from losing interest.
Informal long-term care and its gender distribution: a systematic review
Authors: Gösenbauer Barbara , Braun Alexander , Bilger Marcel 
Published: February 2025

PurposeEuropean countries are experiencing a phenomenon known as “double aging,” which is placing long-term care regimes under considerable strain. The majority of long-term care is provided by relatives, and this informal care is vital for the functioning of care regimes. Most of this informal long-term care (iLTC) is provided by women. The consequences of the unequal distribution of care within society are a crucial, yet poorly addressed aspect of social policy research. We address this research gap and provide insights into the socio-economic impacts of the unequal gender distribution of iLTC.Design/methodology/approachFor the review, systematic database searches were performed in PubMed and EBSCO CINAHL, using the SPIDER methodology. A total of 7,385 abstracts were screened, whereof 11 studies were included. A critical appraisal tool, the PRISMA checklist and a qualitative synthesis were applied.FindingsThree analytical themes were identified: (1) Social Experiences and Norms, (2) Informal Caregivers’ Labour Market Participation and (3) Economic Costs of iLTC. The results showed that women and men are impacted differently: Women are quantitatively discriminated, while caregiving men are likely to face qualitative discrimination within their tasks due to role expectations and gender norms.Originality/valueNovel insights emerge from embedding fragmented empirical findings into a holistic societal perspective, opening possibilities for addressing (adverse) outcomes together on a policy level. The findings are of interest for policy makers developing measures to ensure sufficient care supply whilst taking action against gender inequality.
Utilization of online information about schizophrenia from 2004 to 2022: an infodemiological analysis of Google and Wikipedia
Authors: Alibudbud Rowalt 
Published: February 2025

Purpose
The Internet is a prevalent medium for promoting mental health and disseminating educational content on schizophrenia. Despite this, studies underscore the necessity for additional research to delve into the structures of online mental health promotion and education strategies. Therefore, this study aims to focus on analyzing public interests and information utilization using Google and Wikipedia, contributing to the enhancement of internet-based mental health promotion strategies.

Design/methodology/approach
This infodemiological study described and predicted the global utilization of online information for schizophrenia using relative search volumes (RSV) and related queries and topics from Google Trends and Wikipedia page views. After describing the data, ARIMA was done to predict future Wikipedia page views and search volumes.

Findings
The country ranking based on RSV revealed a gap between European and developed nations and Asian and developing countries. Until December 2021, there was a consistent decline in RSV and Wikipedia page views, followed by a resurgence in January 2022. Findings indicate stable RSV and an increase in Wikipedia page views from 2022 to 2025. Top and rising queries and topics covered various aspects of schizophrenia, such as management, manifestations, diagnostics and etiology, using multiple languages in search queries.

Practical implications
Mental health-care professionals should ensure the availability and accessibility of trustworthy schizophrenia information online. Incorporating top and rising queries on websites can enhance responsiveness to public needs in the age of information and disinformation.

Originality/value
To the best of the author’s knowledge, this study is the first to examine online schizophrenia information using combined Google and Wikipedia data.
Unlocking innovation empowerment: how can industrial robots accelerate total factor productivity?
Authors: Chen Ting , Ren Zongqiang , Wei Da , Chen Kanghao 
Published: February 2025

PurposeEmbodied intelligent robots are the iconic productivity of the Industry 4.0 era, and their potential to bring about a productivity surge mainly comes from the driving force of robots on innovation rather than efficiency. However, the dynamic impact of robots on the innovation capability of enterprises has not been empirically tested.Design/methodology/approachThis study integrates panel vector autoregression and threshold effects to investigate this dynamic relationship by a multi-level analysis based on data of Chinese A-share manufacturing listed enterprises.Findings(1) The short-term momentum of industrial robot applications (IRA) on exploitative innovation (EII) is significant and the long-term momentum on exploratory innovation (ERI) is stronger. (2) EII affected by IRA is the main source of short-term total factor productivity (TFP) growth, while ERI is the driving factor for long-term TFP growth. (3) The impact of IRA on TFP exhibits a double-threshold effect based on ERI and follows a “stepped” incremental pattern. The promoting effect of IRA on TFP will significantly increase only when ERI surpasses certain thresholds.Originality/valueIndustrial robots accelerate the potential productivity growth in the long term, mainly coming from the augmented contribution of ERI, providing reference and inspiration for enterprises to fully utilize the endogenous growth potential of robots and implement innovation strategies. It also provides forward-looking guidance for organisations to undertake adaptive changes for the forthcoming AI economic revolution.
Automatic generation of highlights for academic paper via prompt-based learning
Authors: Xiang Yi , Zhang Chengzhi , Zhang Heng 
Published: February 2025

PurposeHighlights in academic papers serve as condensed summaries of the author’s key work, allowing readers to quickly grasp the paper’s focus. However, many journals do not currently offer highlights for their articles. To address this gap, some scholars have explored using supervised learning methods to extract highlights from academic papers. A significant challenge in this approach is the need for substantial amounts of training data.Design/methodology/approachThis study examines the effectiveness of prompt-based learning for generating highlights. We develop task-specific prompt templates, populate them with paper abstracts and use them as input for language models. We employ both locally inferable pre-trained models, such as GPT-2 and T5, and the ChatGPT model accessed via API.FindingsBy evaluating the model’s performance across three datasets, we find that the ChatGPT model performed comparably to traditional supervised learning methods, even in the absence of training samples. Introducing a small number of training samples further enhanced the model’s performance. We also investigate the impact of prompt template content on model performance, revealing that ChatGPT’s effectiveness on specific tasks is highly contingent on the information embedded in the prompts.Originality/valueThis study advances the field of automatic highlights generation by pioneering the application of prompt learning. We employ several mainstream pre-trained language models, including the widely used ChatGPT, to facilitate text generation. A key advantage of our method is its ability to generate highlights without the need for training on domain-specific corpora, thereby broadening its applicability.
Development and Validation of Machine-Learned Actuator Line Model for Hydrokinetic Turbine Rotor
Authors: Bowman Joshua , Bhushan Shanti , Burgreen Gregory , Dettwiller Ian 
Published: February 2025

Abstract
This study develops and validates a machine-learned (ML) actuator line model (ALM) as a promising advancement in turbine/rotor modeling that can be applied for diverse engineering applications. The model alleviates two limitations of the standard ALM, namely, its reliance on the pre-defined lift and drag coefficient tables and its inability to account for flow unsteadiness. The ML-ALM model is trained using a blade-resolved simulation database of forces acting on blade elements for unsteady inflow conditions. The model is validated for solitary turbine performance and wake predictions against experimental data, and is verified for an inline turbine case for the performance and wake predictions of the downstream turbine against blade-resolved simulations. Its engineering applicability is demonstrated for an 8-turbine array farm simulation. The ML-ALM predicts turbine performance and wakes within 10% of blade-resolved results along with credible advection of tip vortical structures including breakdown and turbulent kinetic energy burst, using 92% less computational time than corresponding blade-resolved simulations.
Heuristic-Based Recommendation System for Dealing With Abnormal Situations in Industrial Applications
Authors: da Silva Márcio J. , Pereira Carlos E. 
Published: February 2025

Abstract
The effective management of process deviations and abnormal events depends on operational actions in providing the appropriate responses to each situation. Applications with requirements focused on the provision of resources tend to be handled by a human–machine interface (HMI) along with supervisory control and data acquisition (SCADA). Process reliability is achieved if the operation ensures that actions will be performed according to the required response and priority levels. This paper presents a novel architecture entitled the heuristic-based recommendation system (HB-RS). The main goal is to provide resources capable of streamlining the process of actively handling abnormal situations. For recommendation purposes, the use of probabilistic networks is proposed, which are well suited to represent uncertainty elements present in engineering applications. To create the inference mechanism for these systems, a multi-entity Bayesian network (MEBN) is proposed, highlighting the importance of semantic characterization via knowledge-based, probabilistic graphical model formalism, which is closely linked to the modeling paradigm in which we can predict situations. The developed capabilities have been applied to a real case study in the operation of a metro train system, and the results obtained indicate the value of the proposed method.
Oral health surveys of traditional peoples and communities in Brazil: a scope review
Authors: Raymundo Maria Letícia Barbosa , Araújo Elza Cristina Farias de , Silva Rênnis Oliveira da , Neto Armando Cabral de Lira , Menezes Lucas Xavier Bezerra de , Lucena Edson Hilan Gomes de , Cavalcanti Yuri Wanderley 
Published: February 2025

ObjectiveThe objective of this review was to map the available evidence on oral health surveys of traditional peoples and communities (TPC) in Brazil, addressing the question, ‘What evidence is available on oral health surveys of traditional peoples and communities in Brazil?’.DesignScoping review according to the Scoping Review extension for the Preferred Reporting Items for Systematic Reviews and Meta-Analyses.Data sourcesMEDLINE/PubMed, Scopus, Web of Science, Embase and Latin American and Caribbean Literature in Health Sciences were searched up until June 2023.Eligibility criteriaStudies involving individuals from indigenous groups, quilombolas, riverside communities and Romani communities, all included in TPC in Brazil, were included without any age restrictions.Data extraction and synthesisData were extracted by two independent reviewers, and studies were categorised considering the author and year of publication, the traditional group, study type, geographical location, age group, sample size, data collection method and the main oral health condition assessed.ResultsAfter the searches, 39 studies were included in the review, and 2 studies were manually added. The studies included in the review were published between the years 1968 and 2023. Of the total, 31 studies investigated the oral health condition of indigenous peoples, 7 were studies on quilombola communities and 3 studies focused on riverside communities. No studies on Romani people were found in the search. The majority of studies were located in the Northeast region (n=12) of the country, with dental caries being the main oral health issue assessed (n=13) through clinical examinations (n=25), with a high prevalence observed among TPC (n=11).ConclusionThis review reveals that in Brazil, studies on the oral health of TPC are ongoing, although they occur in an isolated and independent manner, indicating a considerably high prevalence of oral health problems in these communities.