F1000Research最新文献

{"title":"A Bazilevic-type function associated with the class of univalent functions with study Coefficient Bounds and Fekete-Szego inequalities.","authors":"Mays S Abdul Ameer, Abdul Rahman S Juma, Hassan Hussien Ebrahim","doi":"10.12688/f1000research.172490.2","DOIUrl":"https://doi.org/10.12688/f1000research.172490.2","url":null,"abstract":"<p><strong>Background: </strong>The Fekete-Szegö inequality and coefficient bounds play a fundamental role in the study of Bazilevič-type functions, a subclass of univalent functions with significant applications in complex analysis and related mathematical fields. These functions have been extensively studied for their geometric properties and coefficient behavior, yet there remains a need to explore subclasses defined via differential operators and subordination techniques to obtain sharper and more general bounds. Understanding the coefficient structure of these functions provides insight into their analytic behavior and extends classical results in the theory of univalent functions.</p><p><strong>Methods: </strong>This study focuses on a specific subclass of Bazilevič-type functions and investigates its properties using differential subordination and differential operators. These mathematical tools are employed to derive explicit coefficient estimates and establish the Fekete-Szegö inequalities. The analysis involves careful application of operator techniques to obtain bounds that reflect the influence of the subclass parameters on the analytic functions under consideration.</p><p><strong>Results: </strong>The derived inequalities demonstrate the effectiveness of differential operators in obtaining precise coefficient constraints. The results highlight how variations in the defining parameters of the subclass influence the function behavior, providing clear and explicit bounds for the coefficients. These findings extend existing results in the literature and offer new insights into the structure of Bazilevič-type functions.</p><p><strong>Conclusions: </strong>Overall, this study provides a systematic approach to understanding the coefficient structure of Bazilevič-type functions. The findings establish a foundation for further theoretical research on univalent functions and offer tools that can be applied in both theoretical investigations and practical problems in complex analysis. The results contribute to the broader understanding of analytic functions and their applications in mathematical modeling.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"15 ","pages":"10"},"PeriodicalIF":0.0,"publicationDate":"2026-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13675624/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149220157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What Drives Indonesian People to Purchase Modest Fashion? The Moderating Role of Religiosity.","authors":"Muhammad Anwar Fathoni, Dienni Ruhjatini Sholihah, Ajeng Septiana Wulansari","doi":"10.12688/f1000research.173033.4","DOIUrl":"10.12688/f1000research.173033.4","url":null,"abstract":"<p><strong>Purpose: </strong>This study aims to examine how religiosity moderates the influence of attitude and electronic word of mouth (E-WOM) on purchase decisions in Indonesia's modest fashion market. It seeks to provide empirical evidence on how cognitive, social, and spiritual factors interact in shaping Muslim consumers' purchasing behavior.</p><p><strong>Design/methodology/approach: </strong>A quantitative research approach was employed using Structural Equation Modeling (SEM) with data collected from 320 Muslim consumers in Jakarta and surrounding areas. The constructs (attitude, E-WOM, religiosity, and purchase decision) were measured using validated multi-item scales adapted from previous studies.</p><p><strong>Findings: </strong>The results indicate that both attitude and E-WOM have significant positive effects on purchase decisions, with E-WOM being the most dominant factor. Religiosity exerts a direct positive influence and strengthens the relationship between attitude and purchase decision, but does not moderate the effect of E-WOM. These findings highlight that while religiosity enhances value-driven behavior, digital influence transcends religious intensity.</p><p><strong>Practical implications: </strong>The study suggests that modest fashion marketers should integrate syariah-compliant values with credible digital engagement strategies to foster consumer trust and loyalty. Balancing faith-based authenticity with modern digital communication can enhance brand relevance in the halal fashion market.</p><p><strong>Originality/value: </strong>This study extends the Theory of Planned Behavior (TPB) by incorporating religiosity as a moderating factor within the context of Islamic consumer behavior. It contributes to the growing body of Islamic marketing literature by revealing how faith and digital interaction jointly shape purchase decisions in the modest fashion industry.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"15 ","pages":"127"},"PeriodicalIF":0.0,"publicationDate":"2026-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13332377/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148390280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Public Search Behavior and Tuberculosis Cases in Indonesia 2019-2023: An Infodemiology Study Using Google Trends .","authors":"Sri Ratna Rahayu, Aufiena Nur Ayu Merzistya, Salsabila Kinaya Pranindita, Amelia Saharani, Velia Nur Ardiyani, Erna Zuliana Muanifah, Widya Hary Cahyati, Chatila Maharani, Deby Aulia Fandani, Erli Widiastuti, Aruna Daniswari, Noor Azliyana Azizan","doi":"10.12688/f1000research.179772.2","DOIUrl":"10.12688/f1000research.179772.2","url":null,"abstract":"<p><strong>Background: </strong>Tuberculosis (TB) remains a major health challenge in Indonesia, which ranks second globally in 2024. As the 2030 elimination target approaches, gaps in early detection and public education persist. The public's tendency to seek health information online before consulting professionals presents an opportunity to leverage infodemiology for public health surveillance. Therefore, this study aimed to assess the relationship between multi-term Google search trends and annual TB report data in Indonesia to disseminate the potential use of digital search data as a complementary indicator for epidemiological surveillance.</p><p><strong>Methods: </strong>A repeated cross-sectional design was conducted using provincial data from all Indonesian provinces between 2019 and 2023. Official provincial TB case data were obtained from the Indonesian Health Profile, while Google Trends Relative Search Volume (RSV) data were extracted for 53 TB-related search terms. Provincial TB case counts were normalized to a 0-100 scale to match RSV values before analysis. Normality was assessed using the Shapiro-Wilk test. The associations between TB cases and RSV were examined using Spearman's rank correlation. Multiple testing was controlled using the Benjamini-Hochberg False Discovery Rate (BH-FDR) procedure, with statistical significance defined as an FDR-adjusted <i>p</i> < 0.05.</p><p><strong>Results: </strong>After false discovery rate adjustment, 38-42 of the 53 tuberculosis-related Google Trends search terms remained significantly correlated with monthly TB cases across 2019-2023, indicating a stable association between online search behavior and disease incidence. Colloquial search terms (e.g., \"Flek Paru\"), clinical characteristic queries, and keywords related to symptoms, prevention, transmission, treatment, and pediatric TB consistently showed the strongest positive correlations, with correlation coefficients reaching <i>r</i> = 0.731 (all adjusted <i>p</i> < 0.05).</p><p><strong>Conclusion: </strong>Google Trends data, correlated strongly with TB case in Indonesia, can complement conventional TB surveillance by reflecting regional disease patterns and supporting timely monitoring, despite limitations related to internet access and search behavior.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"15 ","pages":"625"},"PeriodicalIF":0.0,"publicationDate":"2026-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13234547/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148197933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Closing the Gap in Early Mathematics: Domain and Cognitive Insights from TIMSS 2023 in South Africa and Singapore.","authors":"Mathelela Steyn Mokgwathi","doi":"10.12688/f1000research.172015.4","DOIUrl":"https://doi.org/10.12688/f1000research.172015.4","url":null,"abstract":"<p><strong>Background: </strong>South Africa continues to underperform in primary mathematics, yet overall mean comparisons obscure where achievement gaps are most concentrated. This study examines domain-specific patterns of mathematics achievement using data from the Trends in International Mathematics and Science Study (TIMSS) 2023, benchmarking South African Grade 5 learners against Singaporean Grade 4 learners assessed on the same TIMSS Grade 4 mathematics framework.</p><p><strong>Methods: </strong>A quantitative secondary analysis was conducted using nationally representative TIMSS 2023 datasets comprising 10,424 South African learners from 285 schools and 6,530 Singaporean learners from 181 schools. South Africa assessed learners in Grade 5 using the TIMSS Grade 4 mathematics instruments, consistent with TIMSS procedures where curriculum exposure aligns with the benchmark framework. Mathematics achievement was analysed across content domains (Number, Measurement and Geometry, Data) and cognitive domains (Knowing, Applying, Reasoning). Weighted estimates, replicate-based variance estimation, and effect sizes (Cohen's d) were computed in accordance with IEA technical guidelines. The analysis is descriptive and comparative rather than causal.</p><p><strong>Results: </strong>South African learners performed substantially below the international centre point across all domains. The largest content-domain gap relative to Singapore was observed in Measurement and Geometry, indicating pronounced weaknesses in spatial reasoning. The largest cognitive-domain gap occurred in Knowing, reflecting fragile foundational fluency. Although Applying was relatively stronger within the South African profile, it remained substantially below benchmark levels. Achievement gaps were therefore concentrated in foundational and spatial domains rather than uniformly distributed.</p><p><strong>Conclusions: </strong>Concentrated achievement gaps in foundational knowledge and geometry characterise the underperformance of primary mathematics in South Africa. The findings provide a structured diagnostic profile of domain-specific achievement disparities, highlighting the concentration of gaps in foundational knowledge and spatial reasoning.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"14 ","pages":"1209"},"PeriodicalIF":0.0,"publicationDate":"2026-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13587798/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149008120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Impact of Business Coaching on Founder Confidence and Entrepreneurial Orientation in University Incubated Startups.","authors":"Jacobus Wiwin Kuswinardi, Moses Laksono Singgih, Achmad Affandi","doi":"10.12688/f1000research.175927.2","DOIUrl":"10.12688/f1000research.175927.2","url":null,"abstract":"<p><p>Drawing on Social Cognitive Theory, this research addresses a theoretical gap concerning <i>how</i> environmental support mechanisms in developing-country incubators foster entrepreneurial mindsets and strategic behaviour. The study examines how business coaching within university business incubators shapes the cognitive and behavioural orientations of student founders in Indonesia by analysing its influence on locus of control, self-efficacy, and entrepreneurial orientation. Throughout, <i>founder confidence</i> is used as an organizing term for two conceptually distinct agentic beliefs internal locus of control and self-efficacy each modelled as a separate mediator rather than as a single latent variable. A quantitative research design was employed, involving 220 student founders whose startups were incubated in university business incubators across Indonesia. Data were collected through structured questionnaires and analysed using PLS-SEM to test both direct and mediating effects among variables. Business coaching significantly enhances founders' locus of control, self-efficacy, and entrepreneurial orientation. Locus of control and self-efficacy each exert positive effects on entrepreneurial orientation, confirming their roles as central cognitive mechanisms underpinning entrepreneurial behaviour. Mediation analysis reveals that locus of control and self-efficacy significantly mediate the relationship between business coaching and entrepreneurial orientation, and that the indirect cognitive pathways collectively exceed the comparatively modest direct effect of coaching. These findings position coaching not merely as a technical intervention but as a psychological and developmental process that reshapes founders' agentic cognition and strategic entrepreneurial posture within university incubation environments. The study offers novel empirical evidence on the psychological mechanisms through which business coaching influences entrepreneurial orientation in university incubators within a developing-country context a setting often overlooked in the literature.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"15 ","pages":"691"},"PeriodicalIF":0.0,"publicationDate":"2026-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13237547/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148197948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intelligence Beyond Crime: AI, EI, and the Quest for Work-Life Balance in Policing.","authors":"Dr Neha Dubey, Meenu Shant Priya, Ashutosh Pandey, Mohit Yadav, Mohd Asif Shah","doi":"10.12688/f1000research.170760.2","DOIUrl":"10.12688/f1000research.170760.2","url":null,"abstract":"<p><p>In recent years, the ideas of emotional intelligence and artificial intelligence have gained a lot of traction in the relevant literature. This study investigates the impact of artificial intelligence (AI) and emotional intelligence (EI) on the work-life balance (WLB) of police personnel through a comprehensive secondary data analysis. Utilizing bibliometric analysis, the research systematically and critically examines existing literature on intelligence and WLB. Based on 91 research papers sourced from the Scopus database, the study analyzes publication trends, theoretical foundations, highly referenced publications, and journals, frequently applied keywords, and key topics of inquiry within prominent clusters. Additionally, a thematic overview of the Intelligence and the Work-life Balance body of work developed through bibliographic coupling is provided. Content analysis of recent publications highlights potential research gaps and emerging trends. The findings reveal a blend of established and evolving research themes, broadening knowledge of the useful effects of AI and EI on work-life balance in law enforcement. This article stands out as the first to employ diverse bibliographic mapping techniques, offering a broad perspective on the Intelligence and WLB corpus while suggesting Possible recommendations for further investigation.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"15 ","pages":"645"},"PeriodicalIF":0.0,"publicationDate":"2026-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13662383/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149192150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Combining Implementation and Data Sciences to Accelerate Evidence Integration into Healthcare - ImpleMATE.","authors":"Jeffery Chan, Janna Hastings, Gabriella Tiernan, Jeannie Paterson, Nigel Lovell, Luc Betbeder-Matibet, Patrick Kin Man Tung, Sarah Pink, Debora Lanzeni, Thomasina Donovan, Andrew Milat, Louisa Jorm, Carolyn Mazariego, Chi Zhang, Guillaume Fontaine, Stephanie Best, Georgina Kennedy, Susan Michie, Frank Lin, Natalie Taylor","doi":"10.12688/f1000research.169999.3","DOIUrl":"10.12688/f1000research.169999.3","url":null,"abstract":"<p><strong>Background: </strong>The translation of research evidence into routine healthcare practice is often slow and inconsistent, even timely implementation can significantly improve patient outcomes. While implementation science offers strategies to close this gap, current approaches are frequently manual, fragmented, and poorly integrated within healthcare systems. To address these challenges, we propose ImpleMATE - an AI-assisted implementation science platform designed to streamline implementation efforts. Grounded in the Learning Health System (LHS) model, ImpleMATE aims to establish a continuous, data-driven cycle of learning and improvement in implementation practice.</p><p><strong>Methods: </strong>ImpleMATE will be developed through a co-design and co-production approach rooted in human-centred design principles. Development will proceed through four key activities: (1) establishing a data processing pipeline and building an implementation-focused ontology; (2) creating and validating an AI system to extract implementation knowledge, structure the ontology, and support implementation solution delivery; (3) designing an interactive web application to deliver AI-assisted decision support and streamline implementation processes; and (4) developing an evaluation framework to assess platform's effectiveness and plan for national integration. These activities align with three core components of the LHS model: converting data into knowledge, translating knowledge into practice, and feeding implementation process and outcome data back into the system for continuous learning. The platform will be underpinned by strong ethical and governance frameworks to ensure data privacy, transparency, and responsible AI use.</p><p><strong>Discussion: </strong>ImpleMATE aims to transform the adoption of evidence-based innovations in healthcare by embedding trustworthy AI into the core of implementation practice. Through the integration of structured ontologies, real-time AI reasoning, and an interactive user interface, the platform will provide tailored solutions to support implementation efforts. Designed as a dynamic learning system, ImpleMATE will evolve with user input and real-world data, offering a scalable, ethically grounded solution to accelerate and enhance implementation across healthcare settings.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"14 ","pages":"1184"},"PeriodicalIF":0.0,"publicationDate":"2026-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13589178/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149011956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of a Transformational Leadership Program for Nurse Managers on Nurses' Job Satisfaction and Work Environment in Saudi Arabian Primary Healthcare Centers: A Quasi-Experimental Study  .","authors":"Alrashidi Nasser Ayidh M, Tukimin Bin Sansuwito","doi":"10.12688/f1000research.188950.2","DOIUrl":"10.12688/f1000research.188950.2","url":null,"abstract":"<p><strong>Background: </strong>Transformational leadership has been associated with improved organizational performance and employee well-being. However, evidence on structured transformational leadership program in primary healthcare settings remains limited, particularly in Saudi Arabia. This study evaluated the effectiveness of a transformational leadership program in improving nurses' job satisfaction and perceptions of the work environment in primary healthcare centers in Medina, Saudi Arabia.</p><p><strong>Methods: </strong>A quasi-experimental pre-test and post-test study with a control group was conducted among 104 nurses working in Ministry of Health primary healthcare centers in Medina, Saudi Arabia. Participants were assigned to an intervention group (n = 52) or a control group (n = 52). The intervention comprised a structured transformational leadership program delivered to nurse managers over two weeks. Job satisfaction was assessed using the Minnesota Satisfaction Questionnaire (MSQ), while the work environment was assessed using the Areas of Worklife Survey (AWS). Within-group changes were examined using paired-samples t-tests, and analysis of covariance (ANCOVA) was used to compare post-intervention outcomes between groups after adjustment for baseline scores.</p><p><strong>Results: </strong>Significant improvements were observed in the intervention group compared with the control group across all study outcomes. After adjustment for baseline scores, ANCOVA demonstrated significant intervention effects on overall job satisfaction (partial η ² = 0.883), intrinsic job satisfaction (partial η ² = 0.910), extrinsic job satisfaction (partial η ² = 0.689), and work environment (partial η ² = 0.747) (all p < 0.001).</p><p><strong>Conclusions: </strong>A structured transformational leadership program delivered to nurse managers over two weeks was associated with significant improvements in nurses' job satisfaction and perceptions of the work environment in primary healthcare centers. Leadership development may provide a practical organizational strategy for strengthening nurses' workplace well-being and improving work environments in primary healthcare settings.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"15 ","pages":"1436"},"PeriodicalIF":0.0,"publicationDate":"2026-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13594605/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149030085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Impact of Social Responsibility on the Adoption of Sustainable Development Practices on the risk of stock price collapse.","authors":"Nahla Ibrahim, Abdulaziz Al Naim, Abdulrahman Alomair","doi":"10.12688/f1000research.188995.1","DOIUrl":"10.12688/f1000research.188995.1","url":null,"abstract":"<p><strong>Background: </strong>Corporate social responsibility (CSR) and sustainable development practices have become increasingly important for firms seeking to address stakeholder expectations and improve corporate sustainability. However, their implications for capital-market risk, particularly stock price crash risk, remain unclear in emerging markets. This study examines the relationship between CSR and stock price crash risk and investigates whether the adoption of sustainable development practices mediates this relationship among Saudi-listed firms.</p><p><strong>Methods: </strong>The study examines 95 non-financial companies listed on the Saudi Exchange in 2023, selected from an initial population of 231 listed companies based on predefined eligibility criteria. CSR and sustainable development practices were measured using multi-item instruments adapted from prior literature. Stock price crash risk was assessed using three commonly employed indicators: CRASHdummy, negative conditional skewness (NCSKEW), and down-to-up volatility (DUVOL). The hypothesized direct and indirect relationships were estimated using variance-based partial least squares structural equation modeling (PLS-SEM) with SmartPLS 4. Measurement-model reliability and validity were assessed before testing the structural paths and mediation effect.</p><p><strong>Results: </strong>CSR was not significantly associated with stock price crash risk. In contrast, CSR was positively and significantly associated with the adoption of sustainable development practices. Sustainable development practices were also positively associated with stock price crash risk. The indirect relationship between CSR and stock price crash risk through sustainable development practices was statistically significant, supporting the proposed mediating role of sustainable development practices.</p><p><strong>Conclusions: </strong>The findings indicate that CSR does not have a statistically significant direct relationship with stock price crash risk among Saudi-listed firms. Instead, its association with crash risk operates indirectly through firms' adoption of sustainable development practices. These results highlight the importance of considering sustainability practices as a potential mechanism linking corporate social responsibility with capital-market outcomes in an emerging-market setting.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"15 ","pages":"1514"},"PeriodicalIF":0.0,"publicationDate":"2026-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13675628/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149220121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data-Driven Policy: An Analysis of Graduate Job Waiting Time and Its Implications for Higher Education Services.","authors":"Hermawan, Benny Hutahayan, Abd Qadir Muslim, Desmita Ayu Rachmawati","doi":"10.12688/f1000research.185630.2","DOIUrl":"https://doi.org/10.12688/f1000research.185630.2","url":null,"abstract":"<p><strong>Background: </strong>Tracer study data are more valuable for institutional evaluation than for individual-level forecasting of graduate job waiting time. This study analyzes tracer study records from the Faculty of Administrative Sciences, Universitas Brawijaya.</p><p><strong>Methods: </strong>Six classification models were compared to classify graduates according to whether they secured employment within six months or experienced longer waiting times, while education-related determinants of employment transition were also examined.</p><p><strong>Results: </strong>Logistic Regression showed the highest sensitivity to delayed employment, whereas Random Forest provided relatively more balanced classification performance. The absence of internship experience emerged as the strongest barrier to faster employment, followed by poor course quality and the absence of research project participation. Limited field-specific expertise and information technology capability were also associated with delayed employment, whereas stronger English proficiency and self-development were associated with faster employment transition.</p><p><strong>Conclusion: </strong>These findings suggest that, within the study context, tracer study data can inform institutional consideration of work-integrated learning, competence-oriented teaching, research engagement, digital capability, and employability development. The study contributes by repositioning tracer study data as evidence for institutional diagnosis and higher education service improvement while highlighting its complementary role alongside other approaches for individual-level prediction.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"15 ","pages":"1135"},"PeriodicalIF":0.0,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13648953/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149165129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}