bluuebunny/crossref_metadata_2025_split huggingface dataset:
Financial education and budgeting behavior among college students: extending the theory of planned behavior
Authors: Tan Xiawei , Xiao Jing Jian , Meng Kexin , Xu Jiuping 
Published: November 2024

PurposeThis study examines the association between financial education and budgeting behavior among college students. Under the guidance of the extended theory of planned behavior, we use a comprehensive measure of budgeting behavior and explore mediating factors between financial education and budgeting behavior.Design/methodology/approachFinancial education was measured by both frequency and intensity of taking courses in finance and economics in college. Data from a sample of college students across China were analyzed using structural equation modeling and serial mediation analysis to explore the mediating roles of attitudes, subjective norms, perceived control and budgeting intentions in this relationship between financial education and budgeting behavior.FindingsBudgeting intentions alone did not mediate the relationship between financial education and budgeting behavior. However, the serial mediation involving attitudes, subjective norms and budgeting intentions was significant.Practical implicationsThe findings of this study have significant implications for financial educators, universities, governments and families. Financial educators should prioritize budgeting in curricula and aim to enhance students’ budgeting attitudes and intentions. Universities should enhance their financial education offerings, while governments and families should foster supportive environments and positive norms and attitudes around budgeting.Originality/valueThis research contributes a nuanced measurement of budgeting, analyzes the link between financial education and budgeting behavior among college students and highlights the roles of various components of the theory of planned behavior. It extends the theory by identifying how financial attitudes, subjective norms and budgeting intentions mediate the relationship between financial education and budgeting behavior.
Consumer impatience in the e-commerce home delivery context: a consumer-centric supply chain perspective for time-based competition
Authors: Paluzzi Haley , Chen Haozhe , Howe Michael , Daugherty Patricia J. , Tokar Travis 
Published: November 2024

PurposeThis paper aims to introduce the concept of consumer impatience, empirically explore how it relates to time-based logistics performance (delivery speed and delivery timeliness) and discuss its impact on consumer satisfaction. This research argues that gaining insights related to delivery performance from a consumer’s perspective can help the development of more effective time-based logistics strategies for e-commerce home deliveries.Design/methodology/approachHypotheses in this study are developed using attribution theory and tested with empirical data collected through an online behavioral consumer experiment. Middle-range theorizing is used to develop an understanding of the mechanisms that impact the relationship between time-based logistics performance and consumer satisfaction.FindingsFindings indicate that consumer impatience with delivery speed and delivery timeliness play an essential role in the relationship between time-based delivery performance and consumer satisfaction. Issues with delivery timeliness are shown to have a more negative impact on consumer satisfaction than issues with delivery speed, while delivery communication is demonstrated to have a positive relationship with consumer satisfaction.Originality/valueThis empirical study adds to existing time-based competition literature by taking a consumer-centric perspective and bringing a largely overlooked but critical concept – consumer impatience – into the logistics and supply chain management setting. Middle-range theorizing allows for a conceptualized understanding of consumers’ delivery experiences that can help companies develop proactive actions in their time-based competition initiatives.
LLMSARec: large language model with semantic alignment for Web service recommendation
Authors: Feng Shangjie , Cao Buqing , Xie Ziming , Fu Zhongxiang , Peng Zhenlian , Kang Guosheng 
Published: November 2024

Purpose
With the continuous increase in Web services, efficient identification of Web services that meet developers’ needs and understanding their relationships remains a challenge. Previous research has improved recommendation effectiveness by using correlations between Web services through graph neural networks (GNNs), while it has not fully leveraged service descriptions, limiting the depth and diversity of learning. To this end, a Web services recommendation method called LLMSARec, based on Large Language Model and semantic alignment, is proposed. This study aims to extract potential semantic information from services and learn deeper relationships between services.

Design/methodology/approach
This method consists of two core modules: profile generation and maximizing mutual information. The profile generation module uses LLM to analyze the descriptions of services, infer and construct service profiles. Concurrently, it uses LLM as text encoders to encode inferred service profiles for enhanced service representation learning. The maximizing mutual information model aims to align the semantic features of the services text inferred by LLM with structural semantic features of the services captured by GNNs, thus achieving a more comprehensive representation of services. The aligned representation serves as an input for the model to identify services with superior matching accuracy, thereby enhancing the service recommendation capability.

Findings
Experimental comparisons and analyses were conducted on the Programmable Web platform data set, and the results demonstrated that the effectiveness of Web service recommendations can be significantly improved by using LLMSARec.

Originality/value
In this study, the authors propose a Web service recommendation approach based on Large Language Model and semantic alignment. By extracting latent semantic information from services and effectively aligning semantic features with structural features, new representations can be generated to significantly enhance recommendation accuracy.
An integrated optimization strategy for mission planning and control resource allocation for long-endurance unmanned aerial vehicle
Authors: Li Kai , Zhu Cheng , Wang Jianjiang , Gao Junhui 
Published: November 2024

PurposeWith burgeoning interest in the low-altitude economy, applications of long-endurance unmanned aerial vehicles (LE-UAVs) have increased in remote logistics distribution. Given LE-UAVs’ advantages of wide coverage, strong versatility and low cost, in addition to logistics distribution, they are widely used in military reconnaissance, communication relay, disaster monitoring and other activities. With limited autonomous intelligence, LE-UAVs require regular periodic and non-periodic control from ground control resources (GCRs) during flights and mission execution. However, the lack of GCRs significantly restricts the applications of LE-UAVs in parallel.Design/methodology/approachWe consider the constraints of GCRs, investigating an integrated optimization problem of multi-LE-UAV mission planning and GCR allocation (Multi-U&G IOP). The problem integrates GCR allocation into traditional multi-UAV cooperative mission planning. The coupling decision of mission planning and GCR allocation enlarges the decision space and adds complexities to the problem’s structure. Through characterizing the problem, this study establishes a mixed integer linear programming (MILP) model for the integrated optimization problem. To solve the problem, we develop a three-stage iterative optimization algorithm combining a hybrid genetic algorithm with local search-variable neighborhood decent, heuristic conflict elimination and post-optimization of GCR allocation.FindingsNumerical experimental results show that our developed algorithm can solve the problem efficiently and exceeds the solution performance of the solver CPLEX. For small-scale instances, our algorithm can obtain optimal solutions in less time than CPLEX. For large-scale instances, our algorithm produces better results in one hour than CPLEX does. Implementing our approach allows efficient coordination of multiple UAVs, enabling faster mission completion with a minimal number of GCRs.Originality/valueDrawing on the interplay between LE-UAVs and GCRs and considering the practical applications of LE-UAVs, we propose the Multi-U&G IOP problem. We formulate this problem as a MILP model aiming to minimize the maximum task completion time (makespan). Furthermore, we present a relaxation model for this problem. To efficiently address the MILP model, we develop a three-stage iterative optimization algorithm. Subsequently, we verify the efficacy of our algorithm through extensive experimentation across various scenarios.
Opportunities for peace and non violence in the Papua New Guinea Highlands
Authors: Forsyth Miranda 
Published: November 2024

Purpose
This paper aims to synthesise the literature addressing opportunities for intervention and peacemaking in the Highlands of Papua New Guinea (PNG). It shows that peacebuilding in PNG is actively practised in a variety of different forms and by a range of actors. It relies heavily on local champions and coalitions working together with “bits of the state” in inventive but, ultimately, highly vulnerable ways. It argues that the way forward is to better understand how the multiple resources in and beyond the state can be networked more effectively to engineer peace at many different levels, from the clan to the nation state.

Design/methodology/approach
The paper is based on a thorough review of the scholarly and grey literature concerning peacebuilding and conflict resolution in PNG over the past 30 years.

Findings
The key insight is that peacemaking and non-violence interventions in PNG need to be understood as requiring three different categories of treatment: quick, short interventions; ongoing, slow peacebuilding; and development of community wellness to preventatively stave off violence through increased community cohesion.

Originality/value
The paper is the basis of original research.
Obstructive factors encountered when using immersive technology in tourism heritage: the moderating effect of the personal capability via SEM-PLS process
Authors: Zhang Hang Jun , Chan Wilco Wai Hung , Qiu Hanqin , Imon Sharif Shams 
Published: November 2024

Purpose
There is a void in systematically assessing obstructive factors as antecedents in the technology acceptance model (TAM). Three obstructive factors are investigated, namely, discomfort, insecurity and risk. Besides, this study aims to propose the moderator – personal capability (PC) and tested its effects on the relationship between perceived usefulness (PU) and perceived ease of use (PEU) and behavioral intention (BI).

Design/methodology/approach
Quantitative data analysis was used to verify the adapted model by using Smart PLS4. The data from 327 valid respondents are analyzed.

Findings
Discomfort is a significant antecedent impacting both PU and PEU. Insecurity and risk are inhibitors of PEU and PU, respectively. This study contributes to the scarce literature on the moderating effects of PC that moderates the influence between PU and BI positively.

Originality/value
This study contributes a new TAM extension by incorporating obstructive factors and exploring the moderating role of personal capability about AR Glasses. This research also enables innovation companies to enhance the design of their products and services via users’ feedback.
Intellectual capital forecasting for invention patent through machine learning model
Authors: Wang Mei-Hsin , Che Hui-Chung 
Published: November 2024

PurposeThis research explores support vector machine (SVM) with Gaussian radial basis function kernel (RBF) as the model and Analysis of Variance (ANOVA) for forecasting the invalidation re-examination decisions of China invention patents, it is beneficial to support patent monetization for corporate intellectual capital.Design/methodology/approachThere were 8,666 China invention patents with their existing invalidation re-examination decisions during 2000∼2021 chosen to conduct classification model training and prediction for the accuracy of invalidation re-examination decisions through SVM with RBF. Statistical significance was performed by ANOVA to identify indicators for these invention patents selected in this research. These selected 8,666 China invention patents were divided into two groups based on their invalidation re-examination decisions during 2000∼2021 in Table 1, which Group 1 included 5,974 invention patents with all valid or partially valid claims, and Group 0 included 2,692 invention patents with all invalid claims. Thereafter, each group was further divided into sub-groups based on 13 major regions where the applicants filed invalidation re-examination. The training sets for Group 1, Group 0 and the sub-groups were selected based on the patent issued in January, February, April, May, July, August, October and November; while the prediction sets were selected from the invention patents issued in March, June, September and December.FindingsThe training and prediction accuracies were compared to the existing invalidation re-examination decisions. Accuracies of training sets were ranged from 100% in region 7 (Beijing) and region 9 (Shanghai) to 95.95% in region 1 (US), and the average accuracy of invalidation re-examination decisions was 98.95%. While the accuracies of prediction sets for Group 1 were ranged from 100.00% in region 7 (Beijing) to 90.78% in region 13 (Overseas-others), and the average accuracy of classification was 95.96%, this research’s outcomes confirmed the purpose of applying SVM with RBF to predict the patentability sustainability.Originality/valueThis research developed an empirical method through SVM with RBF to predict patentability sustainability which is crucial for corporate intellectual capital on patents. In particular, the investments on patents are huge, including the patent cultivation and maintenance, developments into products or services, patent litigations and dispute managements. Therefore, this research is beneficial not only for corporation, but also for research organisations to perform cost-effective and profitable patent strategies on intellectual capital.
Digitalizing corporate whistleblowing systems: the role of country peers in the adoption of substantive CSR initiatives
Authors: Rahmatdi Rahmatdi 
Published: November 2024

Purpose
This study aims to examine whether companies adopt digital platforms for corporate whistleblowing systems (CWSs), as more substantive corporate social responsibility (CSR) initiatives, by following the existing practices of their industry peers (competitive pressure) and/or geographical location peers (legitimacy pressure).

Design/methodology/approach
This study identifies 446 focal companies in the European Economic Area that introduced new CWSs during 2017–2021. Then, the peers are defined as companies with existing CWS practices that are similar in size to each focal company. Using a quantitative approach, this study uses a logistic regression model.

Findings
This study finds that companies are more likely to adopt digital CWS if their country peers (not, industry peers) have done so, especially the ones operated in countries where governments build CSR partnerships with companies through cooperative consensus. However, the role of country peers is less prominent when companies have CSR committees.

Practical implications
This study shows the importance of country norms over competitive pressure in CSR. Nevertheless, the results offer additional insights for policy-makers by showing that country regulations mandating CWSs are not significant in promoting the adoption of digital CWS nor reducing the role of country peers.

Social implications
Providing CWSs with digital platforms may show corporate commitment to better preventing social misconduct and improving social responsibility.

Originality/value
While most literature focuses on the role of industry peers and/or community peers in a single-country setting, this study examines the role of country peers specifically on digitalization regarding CSR and governance.
The influence of perceived financial security on social intention entrepreneurs in Tunisia
Authors: Fitouri Mohamed , Zouaoui Samia Karoui 
Published: November 2024

Purpose
Although a limited number of studies have suggested that financial factors significantly impact social entrepreneurs, the extent to which financial incentives influence the likelihood of starting a new social venture remains unclear. This paper aims to examine the role of perceived financial stability in shaping the propensity to embark on a new social entrepreneurial venture within a specific socio-economic context.

Design/methodology/approach
This study introduces perceived financial stability as a new determinant of social entrepreneurial intention (SEI) and uses two distinct measurement tools to validate this model. Separate statistical analyses are conducted using groups of samples (n = 204) to test the influence of perceived financial stability alongside other factors such as perceived social support and entrepreneurial social self-efficacy.

Findings
The results reveal that perceived financial stability, perceived social support and entrepreneurial social self-efficacy are all independent direct predictors of SEI. These factors also moderate the relationship between past experience and SEI. The study culminates in the development of the Hockerts model, highlighting the critical role of perceived financial stability in driving SEIs.

Originality/value
This research provides novel insights into how concerns about future financial security influence social entrepreneurs. It underscores the importance of perceived financial stability as a significant precursor to SEIs, offering a deeper understanding of the motivations behind social entrepreneurship.
Efficient Neutralizing Antibodies Induction by Human Parvovirus B19 Epitope‐Presenting Protein Nanoparticles
Authors: Kimura Sakika , Suzuki Hidehiko , Hatakeyama Yu , Noguchi Takafumi , Ii Koga , Nakamura Kazumasa , Ebina Hirotaka , Morita Eiji 
Published: November 2024

ABSTRACTHuman parvovirus B19 (B19V) causes fetal hydrops in pregnant women. Despite the significant impact of this virus, effective vaccines remain unclear. In this study, we successfully engineered B19V protein nanoparticles by fusing the N‐terminal receptor‐binding domain corresponding to 5–80 amino acids of VP1 with two distinct types of self‐assembling protein nanoparticles. Gel filtration and electron microscopic analysis confirmed the spherical assembly of the antigen‐fused nanoparticles. The purified nanoparticles are efficiently bound to the surface of UT7/Epo‐S1 cells, which are semi‐permissive hosts for B19V infection. Immunization of BALB/c mice with VP1u 5–80 nanoparticles elicited a robust production of B19V‐specific IgG antibodies compared to single VP1u 5–80 peptides. Moreover, a neutralization assay using B19V derived from a blood donor sample revealed that antibodies from mice immunized with VP1u 5–80 nanoparticles exhibited stronger infection‐neutralizing activity. These findings suggest that nanoparticle formation plays a crucial role in enhancing the immunogenicity of the B19V VP1u 5–80 amino acid peptide and that these nanoparticles could serve as promising vaccine candidates, effectively inducing immunity against B19V.
Streamflow simulation improvements enabled by a state‐of‐the‐art algorithm for reservoir routing in the U.S. National Water Model
Authors: Li Donghui , Vora Anav , Cai Ximing 
Published: November 2024

AbstractThis study investigates whether improvements could be achieved for the United States National Water Model (NWM) by using a data‐driven reservoir operation simulation algorithm, that is, the generic data‐driven reservoir operation model (GDROM), to replace the existing reservoir representation in NWM for reservoir routing in streamflow simulation. The evaluations of NWM versus NWM + GDROM are conducted using 41‐year NWM retrospective simulation products during 1979 to 2020. The results show that NWM + GDROM exhibits significant improvement to NWM in both the entire Contiguous U.S. (CONUS) and various regions. It is found that the accuracy of reservoir inflow and storage values affects the NWM + GDROM improvement. When driven by observed storage (which is usually more accurate than modeled storage) or more accurately simulated inflow, NWM + GDROM produces more significant improvements in reservoir outflow simulations in all the study CONUS regions. Especially, since high flows are more accurately simulated by NWM than low flows, NWM + GDROM has larger improvement for the simulation of high flows than low flows.
Viscoelastic haemostatic assays to guide therapy in elective surgery: an updated systematic review and meta‐analysis
Authors: Dias Joao D. , Levy Jerrold H. , Tanaka Kenichi A. , Zacharowski Kai , Hartmann Jan 
Published: November 2024

SummaryBackgroundPatients undergoing major surgery frequently experience major uncontrolled bleeding. The aim of this systematic review and meta‐analysis was to evaluate the clinical efficacy of using viscoelastic haemostatic assays to manage peri‐operative bleeding in elective surgery.MethodsWe searched PubMed/MEDLINE and Embase databases for randomised controlled trials according to pre‐determined criteria. The primary outcomes were blood product requirements; duration of stay in the operating theatre or ICU; and surgical reintervention rate.ResultsWe included 20 randomised controlled trials. The overall risk of bias was low to moderate. Twelve studies used thromboelastography‐based transfusion algorithms, while eight used thromboelastometry. Viscoelastic haemostatic assay‐guided therapy was associated with a statistically significant reduction in transfusion of red blood cells (standardised mean difference (95%CI) 0.16 (‐0.29 to 0.02)), platelets (standardised mean difference (95%CI) ‐0.33 (‐0.56 to ‐0.10)) and fresh frozen plasma (standardised mean difference (95%CI) ‐0.64 (‐1.01 to ‐0.28)). There was no evidence of an effect of viscoelastic haemostatic assay‐guided therapy on surgical reintervention (relative risk (95%CI) 1.09 (0.70–1.69)). Viscoelastic haemostatic assay‐guided therapy was associated with lower blood loss and shorter ICU duration of stay. There was no evidence of any effect on total duration of stay and all‐cause mortality.ConclusionsViscoelastic haemostatic assay‐guided therapy may reduce peri‐operative blood product transfusion requirements and blood loss during major elective surgery, with no discernible effect on patient‐centred outcomes. The overall quality of evidence was modest.