bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of Annual Leave Days on Presenteeism - a Cohort Study in Employees of a Japanese Corporate Group
Authors: Yamashita Satoshi , Okawara Makoto , Miyake Fuyu , Ishimaru Tomohiro , Fujimoto Kenji , Nagata Masako , Sugiura Kenichi , Morita Tetsuya , Fujino Yoshihisa 
Published: December 2024

Abstract

Objective
This study investigated the association between leave use and improvement of work functioning impairment affecting presenteeism.

Methods
A prospective, observational study was conducted among 5,752 employees in a single corporate group in Japan to analyze the number of days of leave taken over a one-year period and changes in work functioning impairment.

Results
As the number of leave days increased, work functioning impairment improved significantly.

Conclusions
These results suggest that allowing employees to take more leave significantly contributes to improving work functioning impairment. Companies need to promote appropriate leave use to improve employee health and overall work productivity.
Impact of Perioperative Anticoagulation and Antiplatelet Therapy on Hearing Preservation Outcomes
Authors: Ma Connie C. , Patro Ankita , Schauwecker Natalie R. , Lindquist Nathan R. , Freeman Michael H. , Perkins Elizabeth L. , Haynes David S. , Tawfik Kareem O. 
Published: December 2024

Objective
To report hearing preservation (HP) outcomes based on anticoagulation/antiplatelet use (blood thinner, BT) following cochlear implantation (CI).

Study Design
Retrospective cohort.

Setting
Tertiary referral center.

Patients
Three hundred twenty-six adults (361 ears: no BT = 210, BT held = 86, BT continued = 65) implanted between 2012 and 2021 with preoperative low-frequency pure-tone average (LFPTA) of 65 dB HL or better.

Main Outcome Measure
Postoperative HP, defined as LFPTA ≤80 dB HL, at 1, 3, 6, and 12 months.

Results
Compared to no BT, the BT held and continued groups were older (60.6 vs 72.7 vs 73.0 yrs, p < 0.001) and had diabetes (10% vs 28% vs 22%, p < 0.001). Electrode type, steroid use, surgical approach, and preoperative LFPTA were equivalent among groups. Postoperative HP rates were significantly higher for no BT than the BT held and continued groups at 1 month (62% vs 48% vs 43%, p = 0.008), with equivalent results at 3, 6, and 12 months. When patients were stratified by BT type, there were no significant differences in HP outcomes. On multivariate analysis, BT status was not a significant predictor of HP rates at 1 or 12 months. Younger age (OR 0.95, 95% CI 0.94–0.97, p < 0.001) was the only significant predictor of 1- but not 12-month HP.

Conclusions
BT use, regardless of whether held for surgery, was associated with inferior early HP outcomes. After controlling for age, BT status was not a significant predictor of HP, suggesting inherently poorer cochlear health in patients who are on BTs.
Psychiatric Manifestations in a Postmenopausal Woman Caused by Prolonged Testosterone Pellet Therapy
Authors: Daram Naveena , Wilhoite Morgan , Hurley Emily , Kaplan Marcia 
Published: December 2024

BACKGROUND:
Supplemental testosterone therapy is widely used in postmenopausal patients to treat issues such as low libido, fatigue, bone density concerns, and muscle strength. However, long-term effects of testosterone use are not well understood.

CASE:
A 58-year-old postmenopausal woman was admitted after experiencing severe psychiatric symptoms, including anxiety, paranoid delusions, agitation, and impulsive thoughts. After extensive psychiatric treatment, it was determined that her symptoms were linked to long-term testosterone pellet therapy prescribed by a holistic practitioner.

CONCLUSION:
Prolonged testosterone therapy may precipitate psychiatric symptoms in postmenopausal patients, emphasizing the need for greater vigilance in the prescribing and monitoring of hormone therapies.
Expanded Lateral Thoracic Flap and Torso Advancement Flap for the Treatment of Postburn Breast Deformity
Authors: Zhao Xiaozhuo , Chen Xin , Wang Cheng , Shen Yuming , Zhang Huijun , When Chunquan 
Published: December 2024

Background
Deep burns to the upper abdomen that involve the submammary fold can lead to downward contracture and may cause significant asymmetry in a single breast, which can cause serious aesthetic and psychological problems, especially when they occur during childhood or before puberty. The objective of this study was to establish a practical treatment approach for postburn unilateral breast reconstruction after downward contracture.

Method
We conducted this retrospective review of patients with postburn unilateral breast deformity who underwent reconstruction using the expanded lateral thoracic flap and torso advancement flap from 2016 through 2021. We collected data on various characteristics, including patient information, surgical procedure details, number of expanders used, reconstruction effectiveness, and postoperative breast development.

Results
A total of 25 patients were included in the study, and all flaps survived. A total of seven complications related to the expander were recorded, including one hematoma, three port and tube issues, two cases of skin ischemia, and one instance of expander exposure. All complications were effectively managed through appropriate interventions. Breast position deviations were corrected, resulting in breast symmetry with the opposite side.

Conclusions
The results of this study indicate that the expanded lateral thoracic flap and torso advancement flap procedure can effectively and safely restore the position of postburn breasts and promote symmetrical breast development. This procedure may be one of the options for reconstruction of postburn unilateral breast deformity.
Legitimizing new constructivist practice for entrepreneurship educators: legitimacy as a framework to examine educators’ new practice in China
Authors: Bell Heather R. , Bell Robin 
Published: December 2024

PurposeThis work makes a case for legitimacy as a framework with which to examine how educators made decisions about implementing entrepreneurship education (EE) in higher education institutions (HEIs) to better understand the educator within the educational ecosystem. It then uses a new legitimacy framework that includes self-legitimacy to examine the issues a group of educators in China encountered when implementing new constructivist entrepreneurship modules in their non-entrepreneurship curricula.Design/methodology/approachThe researchers utilized focus groups to collect data from 24 groups of educators at HEIs in 4 regions of China. The researchers used a bottom-up thematic analysis process to identify themes and used legitimacy as a lens to analyze the data.FindingsThe results are presented in three main categories: theorization, or how the practice aligns with existing practice; diffusion, or how the practice is perceived by stakeholders; and self-legitimacy, or how the practice impacts the educator’s image of the self. The data show that legitimization of their constructivist EE practice has not occurred at each of these stages, leaving educators struggling to rationalize how the new practice fits into their existing ecosystem.Originality/valueUsing legitimacy as an approach, the research adds to an understanding of how and why entrepreneurship educators adopt practice and how they are empowered to change practice within their existing institutional structures. It brings different legitimacy theories into one framework to examine changes to EE practice and it applies self-legitimacy to education, an area previously only examined in high power distance situations like law enforcement, but which is appropriate for high power distance educational cultures like China.
Residual network-based feature extraction for automatic crop disease detection system using drone image dataset
Authors: Dua Shelza , Kumar Sanjay , Garg Ritu , Dewan Lillie 
Published: December 2024

PurposeDiagnosing the crop diseases by farmers accurately with the naked eye can be challenging. Timely identification and treating these diseases is crucial to prevent complete destruction of the crops. To overcome these challenges, in this work a light-weight automatic crop disease detection system has been developed, which uses novel combination of residual network (ResNet)-based feature extractor and machine learning algorithm based classifier over a real-time crop dataset.Design/methodology/approachThe proposed system is divided into four phases: image acquisition and preprocessing, data augmentation, feature extraction and classification. In the first phase, data have been collected using a drone in real time, and preprocessing has been performed to improve the images. In the second phase, four data augmentation techniques have been applied to increase the size of the real-time dataset. In the third phase, feature extraction has been done using two deep convolutional neural network (DCNN)-based models, individually, ResNet49 and ResNet41. In the last phase, four machine learning classifiers random forest (RF), support vector machine (SVM), logistic regression (LR) and eXtreme gradient boosting (XGBoost) have been employed, one by one.FindingsThese proposed systems have been trained and tested using our own real-time dataset that consists of healthy and unhealthy leaves for six crops such as corn, grapes, okara, mango, plum and lemon. The proposed combination of Resnet49-SVM and ResNet41-SVM has achieved accuracy of 99 and 97%, respectively, for the images that have been collected from the city of Kurukshetra, India.Originality/valueThe proposed system makes novel contribution by using a newly proposed real time dataset that has been collected with the help of a drone. The collected image data has been augmented using scaling, rotation, flipping and brightness techniques. The work uses a novel combination of machine learning methods based classification with ResNet49 and ResNet41 based feature extraction.
Impact pathways: “follow the labour”. the labour supply chain and its impact on decent work in product supply chains
Authors: Marques Leonardo , Erthal Alice , Crane Andrew 
Published: December 2024

PurposeTo conceptualise the labour supply chain and its relationship with product supply chains. In doing so, we call for research that follows the flow of labour to advance the field of operations and supply chain management (OSCM) towards decent work in supply chains.Design/methodology/approachThis paper provides a real-time case study of modern slavery in the wine, apple and poultry supply chains in Southern Brazil with interviews including workers, farmers and a multitude of stakeholders.FindingsBy following the flow of labour, we uncover how temporary workers are used to manage product seasonality, and the role of hidden actors such as labour providers and charities. We show that different product supply chains tend to mimic each other and share the same pool of temporary workers to ensure flexibility at low cost, while exploiting workers.Originality/valueFor decades the OSCM field has used frameworks that follow the product to improve efficiency and traceability. Yet, labour flows across product supply chains remain untraceable. Our research calls for a dynamic perspective on labour to set the basis for an emerging research agenda on the interplay of product and labour flows in supply chains to advance decent work.
Performance enhancement of port logistics: a framework using hybrid approach
Authors: Sarkar Bishal Dey , Gupta Laxmi 
Published: December 2024

PurposeSeveral challenges and issues are involved in successfully managing and improving the port logistics system (PLS) performance. Ports still face issues, including insufficient cargo handling equipment or equipment sharing during loading and unloading, which requires manual container inspection and delays clearance. This research aims to enhance the port logistics performance at one of India's cargo-handling ports. This paper seeks to identify various situations, actors, processes, learnings, actions and performance metrics particular to India's major container handling port.Design/methodology/approachThe study objectives are accomplished using the Situation-Actor-Process–Learning-Action-Performance (SAP-LAP) framework, Fuzzy Analytic Hierarchy Process (FAHP) and Interpretive Ranking Process (IRP). The FAHP prioritises or ranks actions in a fuzzy environment. The ranking obtained by the FAHP method is assessed using the IRP approach.FindingsThis study examined action criteria and sub-attributes that define a PLS's effective implementation regarding handling containers in India. The results illustrate that strategic action must be prioritized first, followed by infrastructural and operational development, Technology upgradation and new methods and Training and Development initiatives.Practical implicationsThis research provides a logical framework for evaluating the importance of various actions throughout the decision-making process. It would assist managers and practitioners in interpreting the impact of critical actions on performance and improving the operation of PLS by constructing resilient and adaptable solutions.Originality/valueThe study integrates methodologies like the IRP, SAP-LAP and FAHP. It focuses on various actions for an effective port logistics implementation system. The findings of this study allow decision-makers to understand interpretative reasoning by performing pairwise comparisons among the factors.
AI-powered peer review needs human supervision
Authors: Seghier Mohamed L. 
Published: December 2024

Purpose
This paper aims to appraise current challenges in adopting generative AI by reviewers to evaluate the readability and quality of submissions. The paper discusses how to make the AI-powered peer-review process immune to unethical practices, such as the proliferation of AI-generated poor-quality or fake reviews that could harm the value of peer review.

Design/methodology/approach
This paper examines the potential roles of AI in peer review, the challenges it raises and their mitigation. It critically appraises current opinions and practices while acknowledging the lack of consensus about best practices in AI for peer review.

Findings
The adoption of generative AI by the peer review process seems inevitable, but this has to happen (1) gradually, (2) under human supervision, (3) by raising awareness among stakeholders about all its ramifications, (4) through improving transparency and accountability, (5) while ensuring confidentiality through the use of locally hosted AI systems, (6) by acknowledging its limitations such as its inherent bias and unawareness of up-to-date knowledge, (7) by putting in place robust safeguards to maximize its benefits and lessen its potential harm and (8) by implementing a robust quality assurance to assess its impact on overall research quality.

Originality/value
In the current race for more AI in scholarly communication, this paper advocates for a human-centered oversight of AI-powered peer review. Eroding the role of humans will create an undesirable situation where peer review will gradually metamorphose into an awkward conversation between an AI writing a paper and an AI evaluating that paper.
Knowledge domain coupling, digital transformation and R&D team innovation performance
Authors: Chen Minling , Tong Ziye , Xue Jing 
Published: December 2024

PurposeBased on theories such as knowledge management and resource base, this paper explores the effect of knowledge domain coupling on R&D team innovation performance under the perspective of technological innovation networks as well as the mediating role of digital transformation, and further validates the moderating role played by organizational innovation climate and environmental turbulence.Design/methodology/approachTaking the data of 239 Chinese enterprises with high R&D intensity and strong innovation ability as samples, SPSS and AMOS are used for empirical testing.FindingsThe findings suggest that knowledge domain coupling and its decomposition variables (complementary knowledge coupling and iterative knowledge coupling) have a significant positive effect on R&D team innovation performance, digital transformation partially mediates the relationship between knowledge domain coupling and R&D team innovation performance, and that there is a positive moderating effect of organizational innovation climate and environmental turbulence in the influence path.Originality/valueThe study has enlightening value for innovative enterprises and their R&D teams on how to effectively couple the knowledge, make reasonable use of iterative technologies and promote digital transformation practices to enhance innovation performance.
Exploring differentiated empowering leadership: the impact on knowledge sharing
Authors: Song Yuanzhao , Choi Myeongcheol 
Published: December 2024

PurposeThis paper seeks to explore the influence mechanism of differentiated empowering leadership on knowledge sharing and the moderating role of perceptions of organizational politics.Design/methodology/approachA paired-sample collection method is employed to conduct an empirical research study on 287 employees.FindingsThe results indicate that the direct effect of differentiated empowering leadership on knowledge sharing is not significant, but it has a significantly positive impact on their organizational cynicism. Moreover, organizational cynicism plays the sole mediating role between differentiated empowering leadership and knowledge sharing. Finally, the perceptions of organizational politics moderate the relationship between differentiated empowering leadership and organizational cynicism as well as that between organizational cynicism and knowledge sharing.Originality/valueThe research results demonstrate the specific mechanism by which differentiated empowering leadership influences knowledge sharing through the mediating role of organizational cynicism. In particular, the paper determines the distinct roles played by perceptions of organizational politics as boundary conditions within this mechanism.
Environmental innovation and SDGs among the production SMEs: the mediating role of green branding
Authors: Rehman Fazal Ur 
Published: December 2024

PurposeThis study evaluates the impact of environmental innovation (EI) on the Sustainable Development Goals (SDGs) along with mediating role of green branding among the production oriented small and medium-sized enterprises (SMEs) based on the resource-based view (RBV) and ecological modernization theories.Design/methodology/approachThe study compiled data through questionnaire-based survey and inspected via partial least square structural equation modelling (PLS-SEM) to find results.FindingsThe findings indicate that EI aligns positive significant association with SDGs among the production SMEs. The study also discovers that green branding mediates between EI and SDGs.Practical implicationsThe results have interesting implications for policy and explicate the practitioners to apply the techniques of eco-organizational innovation, eco-product innovation and eco-process innovation to achieve SDGs.Originality/valueEven, the topics of EI and SDGs have gained significant attention, but this is the first study in these domains.
Revolutionising costume design education: a case study on the impact of Microsoft Copilot
Authors: Nik Harun Nik Ashri , Md Syed Md Azalanshah , Abdullah Fadli 
Published: December 2024

Purpose
The purpose of this study is to explore the role of an artificial intelligence (AI) tool, Microsoft Copilot, in enhancing costume design education. It focuses on the tool’s impact on student creativity, technical skills and educational quality assurance.

Design/methodology/approach
The authors adopted a qualitative approach, drawing insights from interviews with students and educators, along with observations from a costume design course. Thirty students and three educators participated, with the study focusing on how AI-assisted tools influenced learning outcomes, creativity and the integration of AI into traditional design methods.

Findings
The authors discovered that Microsoft Copilot allowed students to quickly generate and refine their design concepts, which boosted both their efficiency and creativity. However, the authors found that some students became overly reliant on AI-generated designs, highlighting the need to balance AI with traditional design practices. The authors also emphasised the importance of providing technical support to help students effectively use AI tools in the classroom.

Research limitations/implications
Their study focused on a single cohort in one educational setting, which may limit the generalisability of its findings. Future research should investigate the long-term effects of AI on creativity and explore strategies to minimise over-reliance on AI-generated designs.

Originality/value
Their research provides valuable insights into the integration of AI in creative fields, particularly in costume design education. The findings contribute to ongoing discussions on using AI to enhance learning outcomes while safeguarding individual creativity and essential artistic skills.
Professionals reacting to identity crisis: exploring threats, struggles and coping behaviours
Authors: Tomo Andrea 
Published: December 2024

PurposeThe paper explores the relationships between identity struggles and their antecedents and consequences to understand identity dynamics across different professions as a process of reaction and counter-reaction to identity threats and struggles.Design/methodology/approachBy adopting an integrated view of professional identity, the paper employs a systematic literature review, paying particular attention to the micro-politics and identity dynamics to explore the relationship threats, struggles and coping behaviours.FindingsThe paper maps out the threats, struggles and coping behaviours across different professions and the relationships existing between them. The paper also abstracts the findings into a conceptual model for understanding professional identity formation as an iterative process involving identity struggles, threats and coping behaviours.Originality/valueThe paper, bringing together studies with different theoretical and ontological approaches to professional identity, reconciles the literature to provide a detailed account of the nuances characterizing the identity work made by professionals to deal with events threatening their identities. Unlike previous studies, the paper elaborates on how threatening events and struggles shape professionals’ reactions, acknowledging the interdependency between macro, meso and micro levels. By doing so, the paper provides theoretical and practical insights into unstable identities and the work made by professionals to cope with identity uncertainty and crisis.