bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association between corporate diversification strategies and inventory performance: a firm-level investigation
Authors: Qian Zhuang , Wang Charles X. , Yang Haiying 
Published: March 2024

PurposeThis research aims to empirically investigate the impacts of product and international diversification strategies on firm-level inventory performance.Design/methodology/approachThis study empirically examines the associations between product and international diversification strategies and inventory performance based on a sample of 64,124 observations across 7,367 US publicly traded firms between 1989 and 2019 from the COMPUSTAT Segment, Fundamental Annual and Fundamental Quarterly data files. We employ both linear and nonlinear regression models to perform our empirical analysis.FindingsThis research provides strong evidence that there exists a U-shaped relationship between unrelated product diversification and inventory level and a partially inverted U-shaped relationship between international diversification and inventory level. We also find a positive impact of related product diversification on inventory level, but there is no significant curvilinear relationship between related product diversification and inventory level.Practical implicationsOur research findings offer important insights into top management’s strategic planning for diversification strategies and operations manager’s inventory control policies to achieve the strategic fit between corporate diversification and inventory management.Originality/valueProduct and international diversification strategies not only play an essential role in the firm’s competitive advantage, but also have a significant influence on operations manager’s inventory decision. This research is among the first to systematically investigate how top management’s related product, unrelated product and international diversification strategies may have complex nonlinear impacts on inventory performance.
Determinants and impact of strategy-driven manufacturing accounting techniques on organisational competitiveness: a structural equation modelling approach
Authors: Oyewo Babajide , Tawiah Vincent , Alta’any Mohammad 
Published: March 2024

Purpose
This study aims to investigate contextual factors affecting the deployment of strategy-driven manufacturing accounting techniques (SMAT), as well as the impact of SMAT usage on organisational competitiveness. Seven major SMAT were investigated, namely, benchmarking, integrated performance measurement, environmental management accounting, strategic costing, strategic pricing, strategic investment and life cycle costing.

Design/methodology/approach
By using multi-informant strategy, structured questionnaire was used to gather survey data from 129 senior accounting, finance and production personnel of publicly quoted manufacturing companies in Nigeria. Data was analysed using structural equation modelling and propensity score matching.

Findings
Result shows that the usage rate of the SMAT is generally moderate. Market orientation and deliberate strategy formulation are notable determinants of SMAT usage. The inability of competition intensity and perceived environmental uncertainty to notably affect SMAT usage suggests that external environmental pressure to use SMAT is weak.

Practical implications
Although the impact of SMAT usage on organisational competitiveness is positive and statistically significant, it is conceivable that the impact of SMAT could have been more assuming SMAT recorded extensive usage. Thus, the lack of competitiveness of manufacturing companies in Nigeria may not be unconnected to the superficial usage of SMAT.

Originality/value
The study contributes to knowledge in three ways. First, it extends studies on the contingency theory that contextual factors influence the adoption of management accounting innovations. Second, it exposes the contextual factors affecting the adoption of SMAT in a developing country. Third, it provides evidence on the value relevance of management accounting innovation in enhancing organisational competitiveness.
Challengers, not followers? The effect of leaders' perceptions of team overqualification on leaders' empowering behavior
Authors: Jiang Jing , Dong Huijuan , Dong Yanan , Yuan Yuan , Tu Xingyong 
Published: March 2024

PurposeAlthough employee overqualification is a common occurrence in the workplace, most research has focused on overqualification at the individual level rather than at the team level. Drawing on social cognitive theory, this study aimed to uncover how leaders' perception of team overqualification influenced their cognition and follow-up behavior.Design/methodology/approachWe performed two studies to test our model. In Study 1, we conducted an experiment to examine the causal relationship between leaders' perception of team overqualification and leadership self-efficacy. In Study 2, a two-wave field study was conducted to test the overall model based on a sample obtained from a steel company in China.FindingsWe found that leaders' perception of team overqualification reduced leadership self-efficacy, which in turn hindered leaders' empowering behavior. In addition, leaders' social face consciousness strengthened the negative relationship between leaders' perception of team overqualification and leadership self-efficacy, such that the relationship was more negative when leaders' social face consciousness was high rather than low.Originality/valueOur study contributes to the literature on employee overqualification and its effects on leaders through investigation at the team level to show how leaders respond to overqualified teams.
Including self-care curricula to respond to PSTs' exposure to secondary trauma
Authors: Schock Heather Bailie , Franco Yvonne , McCall Madelon 
Published: March 2024

PurposeMost teacher preparation programs (TPP) provide little instruction on mitigating the stress-related consequences of teaching (Miller and Flint-Stipp, 2019). This study aims to provide empirical support for including a self-care unit in teacher preparation curricula to address the secondary trauma and stressors inherent to the teaching profession (Essential 2; NAPDS, 2021; Sutcher et al., 2019).Design/methodology/approachThis investigation occurred in an elementary TPP at a private southeastern US university and spanned two years, utilizing a mixed methods approach.FindingsFindings suggest that after experiencing a 5-week self-care unit, preservice teachers exhibited a statistically significant increase in well-being and a newfound recognition of the need to prioritize self-care for effective teaching, suggesting its potential effectiveness in reducing burnout and attrition.Research limitations/implicationsWhile this study provided valuable insights into the implementation and impact of a self-care unit within the context of elementary education majors at a mid-sized private university in the USA, it is essential to acknowledge its limitations. One notable limitation is the relatively homogenous sample, primarily consisting of White female participants.Practical implicationsThe implications of this study are critical for teacher education policy and practice, advocating for including self-care curricula to enhance teacher well-being and, by extension, prepare teachers with a skillset to support their career trajectory (Essential 3; NAPDS, 2021).Originality/valueThis recommendation underscores the collaborative efforts between TPPs and partnership schools to implement such initiatives effectively, representing a pivotal step toward better-preparing teachers to manage the demands of their profession while prioritizing their mental health (Essentials 4 & 5; NAPDS, 2021).
Navigating the Scottish Political Landscape: An Analysis of BBC Scotland in the Independence Era
Authors: Liddle Andrew 
Published: March 2024

AbstractThis essay examines the complex relationship between the BBC and Scotland's evolving political landscape, shedding light on the challenges faced by the broadcaster since the inception of devolution in 1999 and particularly the 2014 independence referendum. The study contends that the BBC, in its attempts to address accusations of inherent bias and to adapt to Scotland's unique political identity, may have overreacted. Examining the shift from regional opt‐outs to the establishment of the dedicated BBC Scotland channel in 2019, the essay argues that this strategic pivot may now be increasingly redundant amid the diminishing likelihood of a second independence referendum. This change challenges the channel's relevancy and poses commercial concerns for Scotland's production industry. Highlighting the risk of restricted appeal, this essay suggests that the declining relevance of the independence debate necessitates a re‐evaluation of the BBC's approach in Scotland. The analysis underscores the need for adapting to the still evolving Scottish political landscape and argues for strategic measures to ensure the continued relevance of the BBC in Scotland.
Constitutionalising the BBC
Authors: Tambini Damian 
Published: March 2024

AbstractThis article argues that BBC policy needs a change of emphasis. In the last two BBC Charter periods the emphasis has been on marketisation and market failure. The aim has been to harness market discipline to hold the BBC to account and ensure it does not chill investment. In an era of almost limitless choice, faltering democratic institutions, and new business models based on monetising data and attention, this approach is no longer appropriate. Whilst media users will always be able to choose not to consume BBC services, policy makers should accept that the BBC should be a permanent, privileged part of the communications landscape and enact reforms that reflect this. Policy should focus on overhauling and improving the ‘constitutional’ checks and balances of the BBC rather than accountability through the market. This requires new policies that actively facilitate new forms of accountability to citizens.
A Battle for the Nation's Rights’? Past, Present and Future Public Service Media in Wales
Authors: Medhurst Jamie , Nicholas Siân 
Published: March 2024

AbstractAs in other UK nations, public service broadcasting (PSB) is facing an uncertain future in Wales as a result of threats to funding from government and competition from streaming services and other content providers. Partly because of this, calls for the devolution of broadcasting powers have intensified over the past couple of years to the point where it is now an aim of the Welsh government to see such powers being transferred to Cardiff from Westminster. In a nation of two languages and two cultures, PSB has played, and continues to play, a crucial role in Welsh life—but for how long?
The association between hemoglobin levels and renal function parameters during normothermic machine perfusion: A retrospective cohort study using porcine kidneys
Authors: van Furth L. Annick , Huijink Tobias M. , van Leeuwen L. Leonie , Maassen Hanno , Lantinga Veerle A. , Ogurlu Baran , Hamelink Tim L. , Pool Merel B. F. , Schutter Rianne , Veldhuis Susanne Z. J. , Ottens Petra J. , Moers Cyril , Berger Stefan. P. , Leuvenink Henri G. D. , Posma Rene A. , Venema Leonie H. 
Published: March 2024

AbstractBackgroundEx vivo normothermic machine perfusion (NMP) is a promising tool for assessing an isolated kidney prior to transplantation. However, there is no consensus on the perfusate's optimal oxygen‐carrying capacity to support renal function. To investigate the association of hemoglobin levels with renal function parameters, a retrospective analysis of isolated, normothermically, perfused porcine kidneys was performed.MethodsBetween 2015 and 2021, a total of 228 kidneys underwent 4 h of NMP with perfusates that varied in hemoglobin levels. A generalized linear model was used to determine the association of hemoglobin levels with time‐weighted means of renal function markers, such as fractional sodium excretion (FENa) and creatinine clearance (CrCl). Stratified by baseline hemoglobin level (<4.5, 4.5–6, or >6 mmol/L), these markers were modeled over time using a generalized linear mixed‐effects model. All models were adjusted for potential confounders.ResultsUntil a hemoglobin level of around 5 mmol/L was reached, increasing hemoglobin levels were associated with superior FENa and CrCl. Thereafter, this association plateaued. When hemoglobin levels were categorized, hemoglobin <4.5 mmol/L was associated with worse renal function. Hemoglobin levels were neither significantly associated with proteinuria during NMP nor with ATP levels at the end of NMP. Hemoglobin levels >6 mmol/L showed no additional benefits in renal function.ConclusionIn conclusion, we found an association between baseline hemoglobin levels and superior renal function parameters, but not injury, during NMP of porcine kidneys. Furthermore, we show that performing a retrospective cohort study of preclinical data is feasible and able to answer additional questions, reducing the potential use of laboratory animals.
MOTIV: Visual Exploration of Moral Framing in Social Media
Authors: Wentzel A. , Levine L. , Dhariwal V. , Fatemi Z. , Bhattacharya A. , Eugenio B. Di , Rojecki A. , Zheleva E. , Marai G.E. 
Published: March 2024

AbstractWe present a visual computing framework for analysing moral rhetoric on social media around controversial topics. Using Moral Foundation Theory, we propose a methodology for deconstructing and visualizing the when, where and who behind each of these moral dimensions as expressed in microblog data. We characterize the design of this framework, developed in collaboration with experts from language processing, communications and causal inference. Our approach integrates microblog data with multiple sources of geospatial and temporal data, and leverages unsupervised machine learning (generalized additive models) to support collaborative hypothesis discovery and testing. We implement this approach in a system named MOTIV. We illustrate this approach on two problems, one related to Stay‐at‐home policies during the COVID‐19 pandemic, and the other related to the Black Lives Matter movement. Through detailed case studies and discussions with collaborators, we identify several insights discovered regarding the different drivers of moral sentiment in social media. Our results indicate that this visual approach supports rapid, collaborative hypothesis testing, and can help give insights into the underlying moral values behind controversial political issues.Supplemental Material: https://osf.io/ygkzn/?view_only=6310c0886938415391d977b8aae8b749
Serum heme oxygenase‐1 level predicts clinical outcome after acute ischemic stroke
Authors: Wang Huan , Cui Ting , Chen Yaqi , Chen Mingxi , Zhang Shihong , Leng Xinyi , Wang Deren 
Published: March 2024

AbstractAimsThe relationship between heme oxygenase‐1 (HO‐1) and human ischemic stroke outcome remains unclear, which was investigated in this study.MethodsAcute ischemic stroke patients admitted within 24 h were enrolled. Serum HO‐1 levels at baseline were measured via ELISA. Poor 3‐month functional outcome was defined as modified Rankin Scale (mRS) score 3–6. Multivariable‐adjusted binary logistic regression and restricted cubic spline models were employed to examine association between serum HO‐1 and functional outcome. HO‐1's additive prognostic utility was assessed by net reclassification index (NRI) and integrated discrimination improvement (IDI).ResultsOf 194 eligible patients, 79 (40.7%) developed poor functional outcomes at 3‐month follow‐up. The highest quartile of serum HO‐1 was independently associated with a lower risk of poor functional outcome (adjusted OR 0.13, 95% CI 0.04–0.45; p = 0.001) compared with the lowest HO‐1 category. The relationship between higher HO‐1 levels and reduced risk of poor functional outcome was linear and dose responsive (p = 0.002 for linearity). Incorporating HO‐1 into the analysis with conventional factors significantly improved reclassification for poor functional outcomes (NRI = 41.2%, p = 0.004; IDI = 5.0%, p = 0.004).ConclusionsElevated serum HO‐1 levels at baseline were independently associated with improved 3‐month functional outcomes post‐ischemic stroke. Serum HO‐1 measurement may enhance outcome prediction beyond conventional clinical factors.
Testing for concordance between predicted species richness, past prioritization, and marine protected area designations in the western Indian Ocean
Authors: McClanahan Tim R. , Friedlander Alan M. , Wickel Julien , Graham Nicholas A. J. , Bruggemann J. Henrich , Guillaume Mireille M. M. , Chabanet P. , Porter Sean , Schleyer Michael H. , Azali M. Kodia , Muthiga N. A. 
Published: March 2024

AbstractScientific advances in environmental data coverage and machine learning algorithms have improved the ability to make large‐scale predictions where data are missing. These advances allowed us to develop a spatially resolved proxy for predicting numbers of tropical nearshore marine taxa. A diverse marine environmental spatial database was used to model numbers of taxa from ∼1000 field sites, and the predictions were applied to all 7039 6.25‐km2 reef cells in 9 ecoregions and 11 nations of the western Indian Ocean. Our proxy for total numbers of taxa was based on the positive correlation (r2 = 0.24) of numbers of taxa of hard corals and 5 highly diverse reef fish families. Environmental relationships indicated that the number of fish species was largely influenced by biomass, nearness to people, governance, connectivity, and productivity and that coral taxa were influenced mostly by physicochemical environmental variability. At spatial delineations of province, ecoregion, nation, and strength of spatial clustering, we compared areas of conservation priority based on our total species proxy with those identified in 3 previous priority‐setting reports and with the protected area database. Our method identified 119 locations that fit 3 numbers of taxa (hard coral, fish, and their combination) and 4 spatial delineations (nation, ecoregion, province, and reef clustering) criteria. Previous publications on priority setting identified 91 priority locations of which 6 were identified by all reports. We identified 12 locations that fit our 12 criteria and corresponded with 3 previously identified locations, 65 that aligned with at least 1 past report, and 28 that were new locations. Only 34% of the 208 marine protected areas in this province overlapped with identified locations with high numbers of predicted taxa. Differences occurred because past priorities were frequently based on unquantified perceptions of remoteness and preselected priority taxa. Our environment–species proxy and modeling approach can be considered among other important criteria for making conservation decisions.
Safety, pharmacokinetics, and pharmacodynamics of anti‐IL‐4Rα antibody SHR‐1819 in healthy subjects: A randomized, controlled phase I study
Authors: Li Na , Shakib Sepehr , Qian Weilin , Yao Xiaoyan , Li Puyuan , Nip Tsz Keung , Bai Xiaoyan , Shen Kai 
Published: March 2024

AbstractSHR‐1819 is a novel anti‐IL‐4Rα monoclonal antibody currently under clinical development for use in patients with type 2 inflammatory diseases. In this randomized, double‐blind, placebo‐controlled, single‐dose escalation phase I trial, we evaluated the safety, tolerability, pharmacokinetics, and pharmacodynamics of SHR‐1819 in healthy subjects. Subjects received a single subcutaneous injection of SHR‐1819 or placebo, with dose escalation starting at 60 mg and subsequently increasing to 120, 240, 360, and 720 mg. A total of 42 eligible subjects were randomized, and 33 received SHR‐1819 (1 subject in the 60 mg cohort and 8 subjects each in the 120, 240, 360 , and 720 mg cohorts) and 9 received placebo. SHR‐1819 was well‐tolerated, with the majority of adverse events being mild in severity. The exposure of SHR‐1819 increased in a manner greater than proportionally with a dose range of 120 to 720 mg. The median Tmax was within 4–7 days (60–720 mg), and the mean half‐life ranged from 2.88 to 5.97 days (120–720 mg). The clearance rate of SHR‐1819 exhibited a decrease with increasing dose level. Administration of SHR‐1819 resulted in a certain degree of reduction in the percentage change from baseline in concentrations of inflammatory biomarkers TARC/CCL17 and IgE, while the reduction of TARC/CCL17 concentrations showed a dose‐dependent trend. More than half of the total subjects treated with SHR‐1819 were reported antidrug antibody‐negative. The preliminary data from this phase I study support further development of SHR‐1819 for the treatment of type 2 inflammatory diseases.
A bibliometric analysis of the evolving mechanisms of shadow education research
Authors: Jun Li , Weilin Wang 
Published: March 2024

AbstractShadow education has burgeoned into a global phenomenon, and over the last 30 years, a substantial body of literature has emerged to explore this trend. Drawing on bibliometric data from 377 articles retrieved from the Web of Science (WOS), this study investigates the evolving landscape of shadow education research. It examines historical publication trends through performance analysis, intellectual sources and evolving themes using co‐citation analysis, complemented by co‐word analysis. Major authors and collaboration dynamics are discerned through co‐authorship analysis, contributing to a comprehensive understanding of collaborative networks. Additionally, the study constructs an evolution path for shadow education research published in journals, employing citation analysis supplemented by social network analysis methods. In conclusion, the study not only illuminates the historical trajectory of shadow education as a concept but also poses pertinent questions and offers recommendations for future research. Our research significantly contributes to the comprehension of how shadow education has evolved from a nascent concept into a global research discourse.
Predicting word vectors for microtext
Authors: Chaturvedi Iti , Satapathy Ranjan , Lynch Curtis , Cambria Erik 
Published: March 2024

AbstractThe use of computer‐mediated communication has resulted in a new form of written text called Microtext, which is very different from well‐written text. Most previous approaches deal with microtext at the character level rather than just words resulting in increased processing time. In this paper, we propose to transform static word vectors to dynamic form by modelling the effect of neighbouring words and their sentiment strength in the AffectiveSpace. To evaluate the approach, we crawled Tweets from diverse topics and human annotation was used to label their sentiments. We also normalized the tweets to fix phonetic variations, spelling errors, and abbreviations manually. A total of 1432 out‐of‐vocabulary (OOV) texts and their IV texts made it to the final corpus with their corresponding polarity. To assess the quality of the corpus, we used several OOV classifiers such as linear regression and observed over 90% accuracy. Next, we inferred word vectors using a novel four‐gram model based on sentiment intensity and reported accuracy on both open domain and closed domain sentiment classifiers. We observed an improvement in the range of 4–20 on Twitter, Movie and Airline reviews over baselines.