bluuebunny/crossref_metadata_2025_split huggingface dataset:
Maximizing Professional-Led Sexual Well-being Support in Cancer Care: Findings From a Qualitative Process Evaluation Following Healthcare Professionals’ Engagement With an eLearning Resource
Authors: Cassells Claire Victoria , Semple Cherith Jane , Stothers Sheena Ruth , Bingham Sharon Linsey 
Published: February 2025

Background
Provision of healthcare professional (HP)–led sexual support in cancer care is lacking, perpetuated by barriers including a lack of HP awareness of sexual concerns and strategies to help patients and partners cope. In response, the Maximizing Sexual Wellbeing|Cancer Care eLearning resource (MSW|CC) was developed and demonstrated efficacy in reducing HPs’ attitudinal barriers to the provision of sexual support. However, the mechanisms for such change are not yet known.

Objective
A qualitative process evaluation was used to explore mechanisms that influence HP engagement with MSW|CC and its adoption into practice.

Methods
Semistructured interviews were conducted with HPs providing cancer care in Northern Ireland upon MSW|CC completion. Interviews were audio-recorded, transcribed verbatim, and thematically analyzed.

Results
Seventeen participants were interviewed, and 4 key themes were identified: (1) MSW|CC raises HPs’ awareness of the need for holistic sexual support as part of routine clinical care; (2) MSW|CC prepares and equips HPs to provide sexual support in cancer care; (3) MSW|CC is coherent, engaging, and acceptable; and (4) MSW|CC: moving forward.

Conclusion
Participants derived benefits from MSW|CC, deeming it an acceptable resource. Insights into MSW|CC mechanisms of success were identified, including language to address sexual concerns, alongside patient referral resources. Perceived MSW|CC shortcomings from an earlier study were confirmed as a software issue.

Implications for Practice
Healthcare professionals require training and resources to enhance sexual support provision in cancer care. Proactive implementation strategies used to maximize HP engagement with MSW|CC could equip HPs with tools to improve patient sexual outcomes after cancer.
Machine Learning-Based Pediatric Early Warning Score: Patient Outcomes in a Pre- Versus Post-Implementation Study, 2019–2023
Authors: Mayampurath Anoop , Carey Kyle , Palama Brett , Gonzalez Monica , Reid Joe , Bartlett Allison H. , Churpek Matthew , Edelson Dana , Jani Priti 
Published: February 2025

Objectives:
To describe the deployment of pediatric Calculated Assessment of Risk and Triage (pCART), a machine learning (ML) model to predict the risk of the direct ward to the ICU transfer within 12 hours, and the associated improved outcomes among hospitalized children.

Design:
Pre- vs. post-implementation study.

Setting:
An urban, tertiary-care, academic hospital.

Patients:
Pediatric (age < 18 yr) admissions from May 1, 2019, to April 30, 2023.

Interventions:
None.

Measurements and Main Results:
Patients were divided into baseline, pre-pCART implementation (May 1, 2019, to April 30 2021), and post-pCART implementation (May 1, 2021, to April 30, 2023) cohorts. First-ward admissions with a high-risk score (pCART score ≥ 92) were considered as the main cohort. The primary outcome was the occurrence of critical events, defined as invasive mechanical ventilation, vasoactive drug administration, or death within 12 hours of the first high-risk pCART score. There were 2763 and 3943 patients in the baseline and implementation cohorts, respectively. pCART implementation was associated with a decrease in the percentage of the primary outcome from baseline 1.4% to 0.4% (p < 0.001), which converted to more than two-thirds lower adjusted odds of the primary outcome (odds ratio, 0.22 [95% CI, 0.11–0.40]; p < 0.001). pCART implementation was also associated with a decreased prevalence of critical events at 24 and 48 hours after a first high-risk score. We failed to identify any association between cohort period and overall hospital and ICU length-of-stay, number of ICU transfers, and time to ICU transfer. However, there was a difference in hospital length-of-stay among a subpopulation of patients transferred to the ICU (median 6 vs. 7 d; p < 0.001). Analysis of compliance metrics indicates sustained compliance achievements over time.

Conclusions:
The deployment of pCART, a ML-based pediatric risk stratification tool, for clinical decision support for pediatric ward patients, was associated with lower odds of critical events among high-risk patients.
The dynamics of ACR and DNA methylation impact asymmetric subgenome dominance in allotriploidBrassicaspecies
Authors: Quan Chengtao , Dou Shengwei , Dai Cheng 
Published: February 2025

ABSTRACTPolyploidy plays a crucial role in the evolution and diversification of eukaryotes, often leading to structural and functional imbalances as multiple subgenomes merge. Numerous studies have demonstrated the phenomenon of asymmetric subgenome dominance in polyploid species. However, the subgenomic dominance resulting from interspecific hybridization with accessible chromatin regions (ACRs) and DNA methylation remains largely unexplored in allotriploids. We generated two allotriploid hybrids ofBrassicaspecies (ArAnCn) by crossing the allotetraploidBrassica napus(AnAnCnCn) with the diploidBrassica rapa(ArAr). Our results revealed that the Ansubgenome exhibits the highest levels of gene expression among the three subgenomes (Ar, An, and Cn) in F1hybrids. However, the Cnsubgenome that actually exerts dominance over Anand Ar, as evidenced by the abundance of dominant triplet homologous genes. We found that the Cnsubgenome contains a significantly higher density of ACRs than Anand Arsubgenomes, and the expression levels of dominant triplet homologous genes are closely associated with the presence of ACRs in proximal and genic. Interestingly, variations in DNA methylation levels alone do not fully explain the expression advantages observed in F1hybrids. We then discovered that reduced CHH methylation in F1hybrids might be associated with decreased expression ofBnaDCL3andBnaDRM2in the RNA-directed DNA methylation pathway. Furthermore, the mutantsBnadcl3CRandBnardr2CRexhibited a selective preference for 24-nt small RNA and non-CG methylation in the Anand Cnsubgenomes. Overall, this study elucidates the relationship between ACRs, DNA methylation, and asymmetric subgenome dominance in resynthesis allotriploid species.
The financial sustainability of Vietnamese higher education institutions: unveiling the hidden factors
Authors: Trinh Thong Minh , Nguyen Thi Thu Ha , Pham Oanh , Pham Hiep-Hung 
Published: February 2025

PurposeOver several decades, the Vietnamese government has gradually reduced funding for public higher education and has implemented a cost-sharing system. As a result, Vietnamese universities have had to look for alternative sources of income. While there is a significant emphasis on the importance of revenue diversification in higher education in Vietnam, there is limited empirical data on financing for Vietnamese higher education. The purpose of this paper, therefore, is to estimate the degree of financial sustainability in Vietnamese universities.Design/methodology/approachThe authors used the Hirschman–Herfindahl Index and multiple regression analysis to assess 134 Vietnamese universities’ financial sustainability between 2013 and 2020.FindingsThe results revealed that almost all universities in this study were unsustainable due to their weak financial diversity. The age, type of ownership, location, the ratio of lecturers with PhD degrees and land size can affect the financial diversification level of higher education institutions. Our study highlighted that public universities have better financial health than private universities; institutions in rural areas have higher financial diversification than in big cities.Originality/valueSuggestions for policymakers and university leaders that may enhance financial sustainability include the adoption of tailored strategies based on the university’s characteristics and missions.
Does state ownership matter for share price performance during the pandemic crisis in an emerging market?
Authors: Postuła Igor , Wieczorek Agata , Sosnowski Tomasz 
Published: February 2025

PurposeThe study aims to investigate the impact of state ownership on company market performance, i.e. on share price returns and volatility, during the COVID-19 pandemic.Design/methodology/approachThe study analyzes data from 125 companies listed on the Warsaw Stock Exchange between 2019 and 2020. Cumulative abnormal rates of return and quarterly standard deviation are used to measure investment return and price volatility. Panel ordinary least square regression models assess the influence of state ownership on stock market dynamics.FindingsOur findings indicate that state ownership has a dual impact on share prices: it reduces both share price growth and volatility. The significant reduction in share price volatility provides evidence that state ownership enhances stability in uncertain market conditions, benefiting from governmental support.Practical implicationsOur findings convey to investors that state ownership promotes share price stability but may not lead to substantial increases in market value. To maintain a stable SOE share price, the state as a shareholder should be credible to investors, i.e. act transparently and inform the market about planned activities.Originality/valuePrevious studies concentrate mainly on the impact of state ownership on financial performance during the pandemic, while in a much lesser scope on market performance. We contribute to the literature by providing a more comprehensive understanding of the impact of state ownership on corporate market performance, particularly during the pandemic, through the lens of agency theory and resource-based theory.
Design principles for process improvement and innovation systems
Authors: Moder Linda , Fehrer Tobias , Röglinger Maximilian 
Published: February 2025

PurposeGiven today’s dynamic environment, process improvement and innovation (PII) are a central activity for business process management. Despite increasingly available process data and advances in artificial intelligence, only a few works address the automation of PII, highlighting the need for so-called PII systems that support human process designers. However, previous research focuses on problem statements and expository software engineering artifacts. In contrast, design knowledge for PII systems remains scarce, presenting challenges for researchers and practitioners alike. Prescriptive knowledge could address this issue and support future PIIS development. Thus, this paper provides design knowledge for PII systems in the form of 14 design principles.Design/methodology/approachWe follow the design science research paradigm, building on two systematic literature reviews, 20 exploratory expert interviews and two evaluation surveys.FindingsThis paper presents three design requirements and 14 design principles for PII systems as the main contribution. They help to identify necessary functionalities, guide the design and development of future PIIS and serve as a starting point toward comprehensive design knowledge for PII systems.Originality/valueThe original contribution of this paper consists of prescriptive design knowledge for PII systems based on literature and qualitative insights. To the best of our knowledge, we are the first to define design principles for PII systems, bringing together knowledge from related system classes as well as unique requirements from a process design perspective.
Addressing consumer complaints on social media: the effects of relational and accommodative communication strategies on consumer responses
Authors: Kim Yeonsoo , Meganck Shana , Capizzo Luke 
Published: February 2025

PurposeThis study examined corporate communication strategies designed to effectively address routine consumer complaints on social media and transform them into relationship-building opportunities. Drawing from relationship maintenance and conflict/crisis communication literature, two communicative approaches were explored: relational strategies (communicated relational commitments and conversational voice) and accommodative strategies.Design/methodology/approachA nationwide US consumer survey was conducted to test the proposed model.FindingsThe results showed that communicating relational commitments directly enhances consumer trust and fosters supportive intentions. Additionally, using a conversational voice indirectly influenced these outcomes through the mediating factor of perceived humanness. The accommodative strategy also effectively fostered trust and supportive intentions among consumers.Originality/valueThis study extends the application of relational maintenance strategies to online consumer complaints. Though conversational voice does not address core complaint issues, the findings reveal its positive ripple effects via perceived humanness. The study clarifies prior inconsistencies in research on accommodative vs defensive strategies for handling online complaints, offering practical insights for organizations to strengthen customer relationships through effective complaint management.
The influence of the institutional environment on AI adoption in universities: identifying value drivers and necessary conditions
Authors: Erdmann Anett , Toro-Dupouy Luis 
Published: February 2025

PurposeIn higher education, the appreciation and implementation of artificial intelligence (AI) has led to debate and polarization. This study examines how the institutional environment at universities impacts the value perception and intention to adopt AI in higher education. It seeks to optimize the adoption pathway by identifying essential “must-have factors” and “value drivers.”Design/methodology/approachEmploying the technology-organization-environment (TOE) framework alongside the technology acceptance model (TAM) framework and perceived value concepts, this research utilizes a partial least squares structural equation modeling (PLS-SEM) approach complemented by necessary condition analysis (NCA), a novel approach in this context, which allows us to distinguish between critical antecedents and value drivers in the evaluation and adoption of AI technology.FindingsResults indicate that organizational complexity, readiness, competency, compatibility and competitive advantage significantly affect the perceived value of AI, mediated by stakeholders’ perceptions of its ease of use and usefulness. These factors enhance the intention to adopt AI in higher education. Perceived usefulness has the highest effect size and the importance of ease of use differs between Europe and South America. External factors like partner support and competitive advantage are necessary considerations to be met, while competitive advantage and some internal factors are sufficient conditions for AI adoption.Originality/valueThe study underscores the importance of certain institutional factors, setting priorities for management actions in AI adoption. It differentiates between the general appreciation of AI and the intention of practical implementation, highlighting the role of partner support as a necessary condition, although a non-value-driving factor.
Influence of higher education students’ perceived behaviour on their artificial intelligence acceptance: an empirical investigation using technology acceptance model
Authors: Karan Bablu , Chakma Chitra 
Published: February 2025

PurposeThis study aimed to investigate higher education students’ perceived behaviour towards artificial intelligence (AI) acceptance in their learning.Design/methodology/approachTheory of technology acceptance model (TAM) and its critical constructs were used to develop research model and hypotheses. The research model was validated using structural equation modelling (SEM) based on 405 useable survey responses.FindingsThe findings report that the critical constructs of TAM theory are helpful to explain higher education students’ perceived behaviour towards their AI acceptance in learning. The findings also confirm the reliability and strength of TAM theory to assess higher education students’ behavioural intention to accept AI.Practical implicationsThe findings will help authorities of higher education to understand the students’ behavioural intention to accept AI. The study will assist authorities, policymakers, designers, developers and decision-makers of higher education to facilitate the effective integration of AI in higher education.Originality/valueThe study contributes to enhance new knowledge in literature regarding AI acceptance in higher education. It fills the knowledge gap by confirming the influence of higher education students’ perceived behaviour on their AI acceptance. Additionally, it uses SEM approach, which is very new in quantitative analysis, to test and establish the research model.
The dual role of customer-citizen engagement for sustainability
Authors: Matos Manuel Aires de , Patrício Lia , Teixeira Jorge Grenha 
Published: February 2025

PurposeCitizen engagement plays a crucial role in transitioning to sustainable service ecosystems. While customer engagement has been extensively studied in service research, citizen engagement has received significantly less attention. By synthesizing customer and citizen engagement literatures, this study develops an integrated framework to conceptually clarify the dual role of customer-citizen engagement for sustainability.Design/methodology/approachThis study builds on a systematic literature review of customer engagement literature in service research and citizen engagement literature. Following a theory synthesis approach, we qualitatively analyzed 126 articles to develop an integrated conceptual framework of customer-citizen engagement for sustainability through a process of abductive reasoning.FindingsThe analysis showed that customer engagement and citizen engagement literatures have developed mostly separately but provide complementary views. While the customer engagement literature has traditionally focused on business-related facets, such as engagement with brands, the citizen perspective broadens the engagement scope to other citizens, communities and society in general. The integrated framework highlights the interplay between citizen and customer roles and the impact of their relationships with multiple objects on sustainability.Originality/valueThis integrated framework contributes to advancing our understanding of customer-citizen engagement, broadening the scope of subject-object engagement by examining the interplay between these roles in how they engage for sustainability and moving beyond the traditional dyadic perspective to a multi-level perspective of service ecosystems. This framework also enables the development of a set of research directions to advance the understanding of engagement in sustainable service ecosystems.
Ethical and organizational dynamics of non-standard work in public administration: challenges and opportunities in the digital era
Authors: Buonocore Filomena , de Gennaro Davide , Del Barone Ludovica 
Published: February 2025

PurposeThis study explores the ethical and organizational challenges associated with non-standard work arrangements in public administration (PA), focusing on the implications of digital transformation and its alignment with public sector values.Design/methodology/approachA qualitative methodology with a deductive approach was employed, grounded in deontological ethics, utilitarian ethics and psychological contract theory. Data collection included 39 semi-structured interviews with public managers in the Italian PA, supplemented by focus groups and secondary data analysis.FindingsThe study identifies critical challenges in managing atypical workers, such as job insecurity, wage disparities, privacy concerns and unequal treatment. These challenges are exacerbated by the use of digital platforms, which intensify power imbalances, raise ethical concerns and undermine trust in public institutions.Practical implicationsThe research offers actionable strategies, including enhancing job security through clear contract mechanisms, addressing wage disparities with equitable compensation structures, strengthening privacy protections and fostering inclusivity by integrating non-standard workers into organizational processes. Balancing operational efficiency with ethical responsibilities is essential to preserving public trust and institutional legitimacy.Originality/valueThis study contributes to the literature by addressing underexplored ethical challenges of non-standard work in PA, extending established ethical frameworks to a public sector context. It highlights the role of digital platforms in reshaping work arrangements and provides a comprehensive framework for ethical workforce management practices.
Management of Cholelithiasis in Children With Associated Diseases: Should Prophylactic Cholecystectomy Be Recommended?—A Retrospective Analysis
Authors: Boscarelli Alessandro , Giangreco Manuela , Codrich Daniela , Perin Silvia , Madonia Elena , Guida Edoardo , Schleef Jürgen 
Published: February 2025

ABSTRACTCholelithiasis is increasing in the pediatric population, and there are currently no guidelines for the management of asymptomatic patients with both cholelithiasis and a predisposing condition. This study seeks to highlight situations where prophylactic cholecystectomy may be desirable. We retrospectively reviewed the medical records of children who underwent elective laparoscopic cholecystectomy between October 2011 and September 2022. Thirty‐two patients were included in the study. Five different groups of patients were identified based on associated pathologies. Twenty‐six patients were symptomatic (81.25%), and six were asymptomatic (18.75%). All patients underwent a laparoscopic cholecystectomy. Hematologic and cystic fibrosis patients with asymptomatic cholelithiasis had a shorter length of hospital stay than patients with the same condition who progressed from asymptomatic to symptomatic gallstone disease. Consequently, patients with associated diseases (particularly hematologic diseases and cystic fibrosis) may benefit from early laparoscopic cholecystectomy, which could reduce the probability of surgical difficulties and shorten the length of hospital stay.
Decomposition of WAIC for assessing the information gain with application to educational testing
Authors: Liu Fang , Chen Ming‐Hui , Wang Xiaojing , Hancock Roeland 
Published: February 2025

AbstractNowadays, multidimensional data are often available from educational testing. One natural issue is to identify whether more dimensional data are useful in fitting the item response data. To address this important issue, we develop a new decomposition of Widely Applicable Information Criterion (WAIC) via the posterior predictive ordinate (PPO) under the joint model for the response, response time and two additional educational testing scores. Based on this decomposition, a new model assessment criterion is then proposed, which allows us to determine which of the response time and two additional scores are most useful in fitting the response data and whether other dimensional data are further needed given that one of these dimensional data is already included in the joint model with the response data. In addition, an efficient Monte Carlo method is developed to compute PPO. An extensive simulation study is conducted to examine the empirical performance of the proposed joint model and the model assessment criterion in the psychological setting. The proposed methodology is further applied to an analysis of a real dataset from a computerized educational assessment program.