bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring how young people in the UK understand coercive control: a qualitative study
Authors: Sharma Maya Elizabeth , Paddock Elizabeth , Jones Katy A. 
Published: November 2024

Purpose
Since the criminalisation of coercive control (CC), there have been a growing number of cases in the UK; however, there continues to be minimal research, understanding and education about this type of abuse. Hence, it is unsurprising that young people are at the highest risk of CC as they enter their first intimate relationships with limited awareness of the risks. The aim of this study is to explore how 16- to 24-year-olds in the UK understand CC in intimate relationships.

Design/methodology/approach
Semi-structured interviews were conducted with 23 young people to explore their knowledge of CC, sources of knowledge and learning opportunities. Reflexive thematic analysis was used to examine the interviews.

Findings
A total of 14 participants had heard of CC. Participants attributed victims and perpetrators behaviour to individual and environmental factors, including societal and gendered expectations. Young people explained that their knowledge came from experiences, online sources and family and friends. However, participants recognised the importance of credible messengers and sources, and some were sceptical of information shared online. Most had not learnt about CC in formal education but expressed the importance of incorporating it into the secondary curriculum.

Originality/value
To the best of the authors’ knowledge, this study is the first to explore how young people understand CC in the UK. The findings highlight the need for better understanding and formal education around CC, provide a platform for future work and encourage the incorporation of young voices in developing interventions.
Predicting patent transaction behaviour based on embedded features of knowledge search networks
Authors: Zhang Qiuming , Yu Chao , Yang Xue , Gu Xin 
Published: November 2024

Purpose
This study aims to analyse the relationship between a patent’s network position in a knowledge search network and the likelihood and speed of patent transactions. Additionally, it explores whether patent scope moderates these relationships.

Design/methodology/approach
In this empirical study, the authors collected a sample of patents in the artificial intelligence industry over the period of 1985–2018. Then, the authors examined the direct roles of degree centrality, betweenness centrality and closeness centrality on the likelihood and speed of patent transactions and the moderating role of patent scope in the knowledge search network using the logit and accelerated failure time models.

Findings
The findings reveal that degree centrality positively affects both the likelihood and speed of patent transactions, while betweenness centrality enhances the likelihood, and closeness centrality significantly boosts both. However, regarding the speed of patent transactions, closeness centrality is the most impactful, followed by degree centrality, with no significant influence of betweenness centrality. Additionally, the patent scope moderates how betweenness centrality affects the likelihood of transactions.

Research limitations/implications
This study has limitations owing to its exclusive use of data from the Chinese Intellectual Property Office, lack of visibility of the confidential terms of most patent transactions, omission of transaction directionality and focus on a single industry, potentially restricting the breadth and applicability of the findings. In the future, expanding the data set and industries and combining qualitative research methods may be considered to further explore the content of this study.

Practical implications
This study has practical implications for developing a better understanding of how network structure in the knowledge search network affects the likelihood and speed of patent transactions as well as the identification of high-value patents. These findings suggest future directions for patent holders and policymakers to manage and optimise patent portfolios.

Originality/value
This study expands the application boundaries of social network theory and the knowledge-based view by conducting an in-depth analysis of how the position characteristics of patents within the knowledge search network influence their potential and speed of transactions in the technology market. Moreover, it provides a theoretical reference for evaluating patent value and identifying high-quality patents by quantifying network positions. Furthermore, the authors construct three centrality measures and explore the development of patent transactions, particularly within the context of the developing country.
Exploring knowledge management technologies to enhance sustainability and mitigate technostress from a collaborative perspective
Authors: Lim Jihye , Hwang Junseok 
Published: November 2024

Purpose
The relevance of digital technology and knowledge management (KM) has been increasing continuously owing to their importance in sustainability. However, research on which technology leads to collaboration in KM and how it affects sustainability is lacking. Therefore, this study aims to analyze knowledge collaboration management technologies for sustainable growth based on academic literature and technology patents.

Design/methodology/approach
This paper analyzed current technology and academic trends in KM using BERTopic, an artificial intelligence natural language processing model, and proposed future promising candidate technologies and potential application areas in terms of collaboration and sustainability.

Findings
From the textual data of research papers and patents, this paper extracted 10 and 47 major topics, respectively. Moreover, five potential and feasible candidate patents along with their applicable fields were recommended.

Originality/value
The strength of this study is its analysis of the technologies affecting collaboration and sustainability in KM. This paper found that new digital technologies (i.e. artificial intelligence, cloud computing and big data) impact organizations’ KM and have the potential for collaboration. Digital technologies have a positive impact on corporate smartness directly and sustainability and inclusion indirectly. This paper argued that organizations should understand and identify various promising technological factors and apply them to their KM from a collaboration perspective.
History of behavioral accounting research (1960–2023): a bibliometric analysis
Authors: Camilli Riccardo , Mechelli Alessandro , Coronella Lorenzo 
Published: November 2024

Purpose
This study aims to examine the over 60-year evolution of behavioral accounting research (BAR), with the main aim of critically and accurately tracing its past, present and future.

Design/methodology/approach
This study used Scopus and Google Scholar databases to collect 2,263 articles of BAR published on relevant accounting journals. Thus, this study used Bibliometrix to provide a temporal overview of articles and a temporally oriented network co-occurrence analysis of BAR topics.

Findings
This study retraces the history of BAR since its origins and, also on the basis of triggering events inside (e.g. Nobel Prizes for behavioral economics studies) and outside (e.g. accounting scandals) the academic debate, this study critically discusses the evolution and interconnections of BAR topics. Then, future research is addressed toward main promising avenues, thus integrating recent technological applications into the behavioral accounting experimental designs to improve their external validity, exploring the potential positive effects of professionals’ heuristics in performing accounting tasks under certain environmental conditions, exploiting behavioral accounting frameworks to analyze and improve sustainability reporting and sustainability performance management.

Originality/value
Although BAR is rich of contributions, including subfields and contaminations, it lacks a holistic evaluation of its origins, development and future perspectives. In this vein, to the best of the authors’ knowledge, this is the first study to use a bibliometric analysis to evaluate the evolution of BAR.
The impact of review sentiment complexity on perceived helpfulness: an information overload perspective
Authors: Zhang Mingli , Wei Zihan , Liu Yafei 
Published: November 2024

PurposeThis study investigates how the complexity of sentiment in online reviews affects perceived helpfulness. Analyzed over 730,000 reviews from Tripadvisor.com, the research explores how information overload and increased cognitive load impact consumer decision-making.Design/methodology/approachThis study applied the BERT deep learning model to analyze sentiment complexity in online reviews. Based on cognitive load theory, we examined two key factors: the number of attributes mentioned in a review and the variation in sentiment valence of across attributes to evaluate their impact on cognitive load and review helpfulness.FindingsThe results show that a higher number of attributes and greater variation in sentiment valence increase cognitive load, reducing review helpfulness. Reviewers’ expertise and review readability further moderate these effects, with complex or expert-written reviews worsening the negative impact.Originality/valueThis research introduces a method for measuring attribute-level sentiment complexity and its impact on review helpfulness, emphasizing the importance of balancing detail with readability. These findings provide a foundation for future studies on review characteristics and consumer behavior.
Family firms’ internationalization: a pathway to long-term legitimacy
Authors: Diaz-Moriana Vanessa , Moreno-Menendez Ana M. , Casillas José C. , Arzubiaga Unai 
Published: November 2024

Purpose
Based on the socioemotional wealth (SEW) perspective, this paper aims to focus on the mixed-gamble logic to study the process of internationalization of family firms.

Design/methodology/approach
The qualitative multiple case study is based on four longitudinal Irish case studies.

Findings
This study proposes that family leaders assess potential SEW gains and losses when facing international strategic decisions. Findings show that family firms build legacy through international practices and, subsequently, gain long-term legitimacy, defined as the transgenerational status and credibility obtained by their family leaders.

Practical implications
Given the importance of international practices for the achievement of legacy, and ultimately legitimacy, practitioners should be aware of the critical role that internationalization could play.

Originality/value
The study develops a framework that contributes to a more fine-grained understanding of the internationalization process of family firms.
A comprehensive analysis of the benefits of integrated digital delivery in construction projects
Authors: Wuni Ibrahim Yahaya , Abankwa Derek Asante , Koc Kerim , Atuahene Bernard Tuffour , Saka Abdullahi 
Published: November 2024

PurposeIntegrated digital delivery (IDD) is the use of digital technologies, data, and platforms to integrate work processes and connect all stakeholders working on the same project throughout the construction and building lifecycle. The benefits of digital technologies are often cited to justify the adoption of IDD in construction projects, but such benefits remain under-researched and unverified. The purpose of the paper is to investigate the performance improvements attributable to the IDD approach in construction projects.Design/methodology/approachThis study combined questionnaire surveys, statistical analysis, social network analysis, and fuzzy synthetic evaluation to investigate the benefits of IDD in Hong Kong construction projects. The methodology was applied to rank the benefits of IDD, assess the benefit categories of the IDD, and model the relationships between the benefits.FindingsThe results showed twenty-two (22) significant benefits of the IDD approach, grouped into design, cost, collaboration, sustainability, procurement, and productivity benefits. Design and collaboration benefits were ranked at the top and “high quality and faster preparation of designs” and “improved information exchange and management” were the most important benefits in these clusters, respectively. The weighted network model showed that the benefits of IDD are significantly correlated, and “cost savings associated with digital project delivery”, “improved work and project quality”, and “high quality and faster preparation of designs and calculation” were identified as the most influential benefits.Originality/valueThe study outcomes offer the first empirical insights into performance gains achievable with the IDD approach in construction projects. Hence, this study, for the first time, identified and assessed the benefits and benefit categories as well as formulating the relationships between the benefits to suggest the most effective benefit pipeline.
Nonlinear joint inversion of Rayleigh and Love wave dispersion curves based on Pearson correlation coefficient and thickness mean sharing
Authors: Fu Daiguang , Zhou Liming , Zhang Shuangxi , Li Mengkui 
Published: November 2024

AbstractThe joint inversion of Rayleigh and Love waves plays a crucial role in mitigating the non‐uniqueness of surface wave inversion results and enhancing the stability of these inversions. Existing approaches to the joint inversion of Rayleigh and Love wave dispersion curves, which rely on conventional objective functions, often struggle with complex stratigraphic configurations and yield results of limited accuracy. This study introduces two novel nonlinear joint inversion techniques for Rayleigh and Love waves: Pearson correlation coefficient and thickness mean sharing. The Pearson correlation coefficient approach employs the Pearson correlation coefficient and alternating iterative objective functions to synchronize the shear wave velocity structures derived from Rayleigh and Love waves, thereby enhancing the accuracy of the joint inversion. Conversely, the thickness mean sharing method computes an average of the thickness values obtained in each iteration of the inversion, utilizing the traditional joint inversion objective function. Tests on three distinct stratigraphic structures—characterized by increasing velocity, high‐speed hard interlayers and low‐speed soft interlayers—as well as on measured data, demonstrate that the proposed methods significantly improve the stability and accuracy of nonlinear joint inversion.
The peri‐operative implications of sodium‐glucose co‐transporter 2 inhibitors: a narrative review
Authors: Stewart Paul A. , Nestor Claire C. , Clancy Cillian , Irwin Michael G. 
Published: November 2024

SummaryIntroductionSodium‐glucose co‐transporter 2 inhibitors are a novel class of antihyperglycaemic drugs used in the management of type 2 diabetes, that improve glycaemic control, cardiovascular outcomes and promote weight loss. They are also approved for the treatment of heart failure and chronic kidney disease in patients with or without diabetes. This narrative review discusses the peri‐operative effects and implications of sodium‐glucose co‐transporter 2 inhibitors and gives an overview of current evidence and existing peri‐operative guidelines.MethodsWe conducted a literature review to identify peer‐reviewed English language articles published since 2000, with further articles identified by reviewing the references of key papers.ResultsPeri‐operative sodium‐glucose cotransporter 2 inhibitor use carries a risk of euglycaemic ketoacidosis. Although clinically significant diabetic ketoacidosis remains a rare event, sodium‐glucose co‐transporter 2 inhibitors inhibitor‐associated diabetic ketoacidosis has been observed across almost all surgical specialities. Ketoacidosis may present with any blood glucose level. Existing guidelines are inconsistent and may be a source of clinical confusion.DiscussionBased on the half‐life of sodium‐glucose cotransporter 2 inhibitors, we recommend withholding treatment for 72 h before elective surgery (5 half‐lives), with additional multidisciplinary input for specific procedures with dietary alterations and in patients with poorly controlled diabetes of cardiac/renal disease. In the event of emergency surgery or any surgery within 72 h of sodium‐glucose cotransporter 2 inhibitor administration, we recommend pre‐, intra‐ and postoperative blood ketone monitoring (6 hourly for 24 h post‐surgery and until full oral diet is resumed). Sodium‐glucose cotransporter 2 inhibitor treatment should only be resumed after resumption of full oral diet in the absence of ketosis.
Challenging neoliberal time: Creating space for radical praxis in geography
Authors: Pickerill Jenny 
Published: November 2024

AbstractThere is something particularly depressing about the current moment—when the possibility of thriving as a geography academic in British academia seems incompatible with anything else, be that a life outside work, a family, activism, or even sleep. What connects these multiple intensifications of demands on academics, and many of the external crises we are living through (the climate emergency, wage deflation, cost of living, the COVID pandemic etc.) is how we value, use and understand time. The non‐linearity of time is a useful way to understand how we work in academia. In this paper, I explore how can we change how we use our time. I propose three responses, which each play with time as non‐linear, multiple rhythms, and as having a lack of balance or stability. First, the possibility of working with the delight of shifting pace in helping us to enjoy our working time more. Second, in acting in collaboration, solidarity, and being alongside each other in ways where shared time is more expansive than individual time. Finally, in how we can collectively and structurally re‐order our time together.
Development of spatial models and maps for tree species diversity and biomass in a miombo ecosystem, western Tanzania
Authors: Chitayat Adrienne B. , Lewis Matthew , Anyelwisye Moses , Laizer Gabriel S. , Stewart Fiona A. , Wich Serge A. , Piel Alex K. 
Published: November 2024

AbstractAimMiombo, a prominent dry forest formation, holds ecological importance for both humans and wildlife. Trees are a driving force behind miombo dynamics, thus, spatially explicit metrics of tree cover are essential for evaluating habitat characteristics, resource availability, and environmental change. We developed predictive models and maps of tree species diversity and biomass within a previously undescribed landscape.LocationMahale Mountains National Park (MMNP), Greater Mahale Ecosystem (GME), Tanzania.MethodsWe created models of tree density, basal area, tree species richness, and tree diversity according to the Shannon Diversity Index. We created a predictive model using an ensemble modeling approach using plot‐based data from MMNP and predictor variables derived from satellite data associated with climate, habitat structure, plant productivity, and topography. We assessed predictor importance across models and produced maps based on model predictions and compared them to land cover type and protective status.ResultsResults revealed strong positive correlations between tree metrics (r ≥ 0.70) and substantial overlap in the selection and relative importance of predictors. Canopy height was the most important predictor across models, followed by climate and topography predictors associated with energy. Predictors derived from the soil‐adjusted vegetation index were also valuable. Model performances ranged from R2 values of 0.45 to 0.55, with tree density performing best. Maps show high tree species diversity and biomass in protected areas.ConclusionsThis study and the maps it produced provide a baseline for land management and future modeling efforts in the GME. Our results highlight the contribution of a wide variety of environmental predictors and the importance of a select few. We confirmed the importance of the current protected area network where conservation efforts align, and help sustain, an abundance and diversity of trees. Current and historical disturbance‐related predictors should be considered to address remaining unexplained variance.
SLCO1B1 variants in a patient of African ancestry presenting with rosuvastatin‐induced rhabdomyolysis: A case report
Authors: Medwid Samantha , Deckert Rowan , Gryn Steven E. , Kim Richard B. 
Published: November 2024

We report a case of an adult woman of African ancestry who was hospitalized with statin induced‐ rhabdomyolysis. The patient presented to the emergency room with a 2‐week history of worsening muscle pain, nausea, vomiting and low oral intake, 1 month after starting 40 mg daily dose of rosuvastatin. Sequencing of SLCO1B1 coding regions revealed the patient was heterozygous for two SLCO1B1 deleterious variants, c.481+1G>T and c.1463G>C (*9), which are more prevalent in patients of African ancestry. This highlights the importance of pharmacogenetic testing in SLCO1B1, which includes a broader range of genetic variants for patients of African ancestry.
Assessment of fitness for bleomycin use and management of bleomycin pulmonary toxicity in patients with classical Hodgkin lymphoma: A British Society for Haematology Good Practice Paper
Authors: Barrett Aisling , Shah Nimish , Chadwick Andrew , Burns David , Burton Cathy , Cutter David J. , Follows George A. , McKay Pam , Osborne Wendy , Phillips Elizabeth , Wilson Matthew R. , Collins Graham P. 
Published: November 2024

SummaryThis good practice paper (GPP) is intended to support clinicians in assessing patient fitness for bleomycin and in management of bleomycin pulmonary toxicity (BPT) where it occurs. Bleomycin, originally developed as an antibiotic in the 1960s, has been a cornerstone of therapy for classical Hodgkin lymphoma (CHL) since results of its use in combination with doxorubicin, vincristine and dacarbazine (ABVD) were first published by Bonadonna et al in 1975 1. The same author recognised high rates of respiratory morbidity in these patients 2, and bleomycin‐;related pulmonary toxicity (BPT) is now a well‐;recognised and feared complication with its use. ABVD and BEACOPP/ BEACOPDac (bleomycin, cyclophosphamide, etoposide, doxorubicin, vincristine and prednisolone, with procarbazine or dacarbazine) are standard first‐;line treatments in CHL patients, but considerable variation remains in assessing patient fitness for bleomycin both clinically and with respiratory investigations. A recent survey of British haematologists regularly using bleomycin revealed that 87.5% have no local protocols for assessing patients in an evidence‐;based fashion, with wide variations in practice captured in the same survey (personal data). A working group was established and a literature review undertaken with the goal of presenting practical recommendations for clinicians regarding bleomycin use based on available evidence and expert opinion.