bluuebunny/crossref_metadata_2025_split huggingface dataset:
Antecedents and consequences of satisfaction regarding apparel bought online during the COVID-19 pandemic
Authors: Audrain-Pontevia Anne-Françoise , Gantoli Reine Fortunée Alohomin , François Julien 
Published: January 2025

PurposeAlthough well documented for physical stores, consumer motives for buying apparel online have been poorly investigated. Drawing on the social exchange theory (SET), the authors tested a framework that relates time savings, effort savings and money savings to satisfaction, e-loyalty and e-word-of-mouth (e-WOM).Design/methodology/approachA cross-sectional, web-based survey was conducted in Canada during the coronavirus (COVID-19) pandemic. Data were collected from 247 participants who made online clothing purchases and analysed using partial least-squares structural equation modelling. The reliability and validity of the measurement model were assessed, and the path coefficients of the structural model were estimated.FindingsMoney savings have a strong effect on e-satisfaction, which in turn determines e-loyalty and e-WOM. Time savings have also been found to influence e-satisfaction, whereas effort savings have no influence. Finally, the results indicate that e-satisfaction competitively mediates the relationship between money savings and both e-loyalty and e-WOM.Originality/valueUtilising the SET, this study contributes to deepening the knowledge of online clothing purchase in the context of the COVID-19 pandemic. The authors provide a comprehensive view of the mechanisms through which time savings and money savings are the strongest drivers of customer satisfaction, which in turn influence customer loyalty and e-WOM when buying clothes online.
Robust motion control based on model-based unknown system dynamics estimator for robot manipulators
Authors: Zhang Rui , Zhang Qiang , Cheng Junbo , Zhou Xiaodong 
Published: January 2025

Purpose
Achieving accurate trajectory tracking control of robot manipulators is challenging due to dynamic model errors and uncertain payloads. This paper aims to enhance trajectory tracking performance for robots with n degrees of freedom (DOF).

Design/methodology/approach
This study proposes a robust motion control framework that combines uncertainty and disturbance estimator with model-based compensation. The proposed framework ensures precise trajectory tracking in robot manipulators. In addition, uncertainties in the high-DOF robot dynamics are estimated through a simple model-based compensation for system error dynamics. The stability of the closed-loop system of the proposed framework is analyzed and proved.

Findings
The results indicate that the proposed framework can significantly reduce tracking errors and increase disturbance resistance. The simulation results of a two-link robotic arm verify the effectiveness of the proposed method. The results of the experiments conducted on a seven-DOF torque-controlled Flexiv4S manipulator demonstrate the superior trajectory tracking performance and robustness of the proposed algorithm.

Originality/value
This study introduces a highly efficient, robust motion control framework for high-DOF robots, which can improve the trajectory tracking performance in the presence of model uncertainties.
Greenhouse gas emissions and quality of financial reporting: evidence from the EU
Authors: Mamatzakis Emmanuel Constantine , Tzouvanas Panagiotis 
Published: January 2025

PurposeOur study delves into the association between greenhouse gas (GHG) emissions and the quality of financial reporting. Our investigation focuses on understanding how firms’ GHG emissions would impact discretionary accruals and real earnings management. We also test the moderating role of a large board size, and CEO as a board member. Finally, we conduct various robustness checks to ensure the robustness and validity of our findings.Design/methodology/approachWe conducted a study on 476 European companies across 17 countries and various industries between 2005 and 2018. We use panel data estimations, and multiple methods to account for emissions and address endogeneity issues in our tests.FindingsOur findings indicate that greenhouse gas emissions increase earnings management, as measured through discretionary accruals and real earnings management. This leads to lower quality financial reporting. We also find that a larger board size moderates the relationship between GHG emissions and financial reporting, resulting in greater financial transparency.Research limitations/implicationsOur findings provide evidence that firms’ GHG emissions, despite stricter emission regulations in the European Union (EU), would be positively associated with real earnings management. This finding calls for more research in different regions to understand if this is a global trend.Practical implicationsOur results have important implications for financial reporting, corporate governance, and climate change mitigation. For example, high GHG emissions not only indicate polluting firms but might also serve as a signal for identifying firms engaged in earnings management.Originality/valueAlthough previous research has examined the relationship between greenhouse gas emissions and the financial performance of firms, to the best of our knowledge, no prior study has investigated whether firms’ GHG tends to manipulate their financial reporting. We also contribute to the literature regarding the determinants of the quality of financial reporting through earnings management literature. Lastly, we provide novel evidence from the EU area, where strict EU climate policy should have affected financial reporting.
Viable industrial supplier performance evaluation using fuzzy inference system: a case of the automotive industry
Authors: Zekhnini Kamar , Chaouni Benabdellah Abla , Cherrafi Anass , Bouhaddou Imane , Bag Surajit 
Published: January 2025

Purpose
As the global focus on supply chain management has shifted toward the importance of digitalization, resilience and sustainability to ensure viability, this paradigm merits special consideration in the industrial supplier selection process in a VUCA (Volatile, Uncertain, Complex and Ambiguous) world. Additionally, the increasing geopolitical challenges further complicate the industrial supplier selection process, necessitating robust decision-making frameworks. Thus, this paper aims to present a decision-making system using a fuzzy inference system (FIS) for industrial supplier evaluation and selection, considering a new criterion: viability.

Design/methodology/approach
Fuzzy set theory, particularly a FIS, is used to address the subjectivity of decision-makers’ preferences. The suggested method’s validity is evaluated using a real automotive case study for industrial supplier selection situations.

Findings
Seventeen key criteria for viable industrial supplier selection were identified and used to evaluate and select the case study firm’s industrial supplier. The chosen supplier (B) demonstrated superior resilience, sustainability and digitalization capabilities, making it preferable to others. Specifically, supplier (B) exhibited exceptional adaptability to disruptions, a strong commitment to sustainable practices and advanced digital integration that enhances operational efficiency.

Practical implications
This study provides valuable insights for researchers and professionals by proposing a comprehensive industrial supplier selection system. Integrating diverse criteria is essential for viable performance in supply chains that enhances robustness and adaptability, supporting more strategic decision-making in supplier evaluation amid global and network-related challenges.

Originality/value
This novel paper introduces a new criterion, i.e. viability, in the industrial supplier selection process in the VUCA environment. In addition, it proposes a decision-making system for viable supplier performance evaluation. Furthermore, it validates the proposed FIS in an automotive case study.
Entrepreneurial orientation, agility and responsibility: a triad for sustainable competitive advantage
Authors: Rocha Raysa Geaquinto , Ed-Dafali Slimane , Sharma Nitika 
Published: January 2025

PurposeThis study investigates the interactions between entrepreneurial orientation, strategic agility and corporate social responsibility (CSR) in influencing sustained competitive advantage in Moroccan small- and medium-sized enterprises (SMEs). Additionally, it analyzed the influence of competitive intensity, firm size and age on attaining sustained competitive advantage.Design/methodology/approachWe employed a dual approach to analyze 300 Moroccan SMEs, joining partial least squares structural equation modeling (PLS-SEM) and necessary condition analysis (NCA). PLS-SEM was utilized to maximize the explained variance of endogenous constructs and handle mediation effects, aligning with the study’s explanatory purpose. The NCA was used to identify necessary conditions for sustained competitive advantage by examining the extent to which the conditions (i.e. entrepreneurial orientation, strategic agility and CSR) are present in all cases where sustained competitive advantage is present.FindingsThe PLS-SEM analysis found that entrepreneurial orientation positively influences sustained competitive advantage and CSR and strategic agility partially mediates the relationship between entrepreneurial orientation and sustained competitive advantage and between entrepreneurial orientation and CSR. The NCA results imply that CSR, entrepreneurial orientation and strategic agility have small but significant effect sizes, indicating they are necessary conditions for achieving higher levels of sustained competitive advantage. Additionally, firm age and size are not necessary conditions.Originality/valueThis study provides a more comprehensive understanding of entrepreneurial orientation influencing sustained competitive advantage in SMEs. It challenges previous beliefs regarding the impact of CSR on sustained competitive advantage, particularly in the Moroccan SME context. Contrary to expectations, the findings indicate that CSR does not significantly impact sustained competitive advantage or mediate the relationship between entrepreneurial orientation and sustained competitive advantage. The NCA results further develop these findings by revealing that CSR is a necessary condition only for achieving upper levels of sustained competitive advantage in Moroccan SMEs.
The Omnichannel symphony: Harmonising hearts and carts
Authors: Sinha Neena , Kataria Nikita , Kapoor Garima 
Published: January 2025

PurposeThe study examines the impact of various aspects of channel integration quality, personalisation and perceived warmth on behavioural outcomes through customer engagement in omnichannel retailing.Design/methodology/approachThis study is based on the responses of 458 participants, gathered using purposive and snowball sampling methods. PLS-SEM and FIMIX-PLS have been used to examine the heterogeneity in respondents’ views.FindingsThe findings emphasise the favourable influence of various facets of omnichannel strategy on customer engagement, which enhances brand affection, leading to stickiness and willingness to pay price premium. Furthermore, identifying three separate customer categories provides detailed insights into how omnichannel aspects appeal to consumer preferences.Practical implicationsThe findings underscore the need to use customised approaches to cultivate lasting relationships with consumers, emphasising the potential of omnichannel retailing in harmonising business success and consumer sentiments. Retailers can identify areas of dissatisfaction within specific segments and eventually focus on improving these areas to provide a seamless experience and increase engagement.Originality/valueThis paper offers a distinctive contribution to the domain of omnichannel retailing by employing structural equation modelling (SEM) along with FIMIX-PLS to explore respondent heterogeneity. In addition to the transactional aspects, this study investigates the crucial elements, including warmth and personalisation strategies and how these influence the holistic customer journey, including their emotional connection with the brand in the omnichannel retailing environment, thereby advancing knowledge in the field and providing relevant implications for industry practice.
Systemic pricing and the real value of banks' liabilities: practical advice for financial managers
Authors: Eboli Mario 
Published: January 2025

PurposeThe paper aims to divulge to the management and the banking community the recent achievements in network-based modelling of systemic risk, which enable the pricing of a bank’s debt in a systemic context.Design/methodology/approachThe paper critiques traditional bank liability pricing methods, which fail to account for the potential risks of financial contagion and systemic crises in the banking industry. It briefly explains the different types of financial contagion and evaluates the effectiveness of network-based valuation models in ensuring consistent pricing of banks' debt.FindingsTraders and financial firms should adopt network-based methods for pricing a bank’s debt to improve their risk and portfolio management.Practical implicationsThe paper highlights the benefits for financial firms in obtaining systemic pricing of a bank’s liabilities and indicates the practical steps to adopt network-based valuation methods within firms.Social implicationsIn addition to the private benefits for the institution that adopts network-based valuation methods, the correct pricing of banks' liabilities helps internalise the negative externalities arising from financial contagion, contributing to a more stable and resilient financial system.Originality/valueThis paper is the first to aim at bridging the gap between recent theoretical contributions on systemic risk and the customary methods of pricing financial operators' debt.
Strengthening mechanisms of Cu/SACZ/Al micro-connection joints with solid-state bonding
Authors: Gan Guisheng , Yang Hao , Luo Jie , Ma Yongchong , Zhang Jiajun , Liu Xin , He Qiao , Li Leqi , Cheng Dayong 
Published: January 2025

Purpose
The purpose of this study was to investigate the effects of aging time on the microstructure, mechanical properties and fracture morphology of Cu/Zn160%SAC0307/Al solder joints produced through solid-state bonding.

Design/methodology/approach
Zn particles with a size of 1 µm and Sn-0.3Ag-0.7Cu (SAC0307) particles ranging from 20 to 38 µm were used to achieve Cu/Al micro-connections using ultrasonic assistance at a temperature of 180 °C, followed by aging treatment at 150 °C to enhance the quality of Cu/Al joints. Scanning electron microscopy was used for observing and analyzing the solder seam, interface microstructure, and fracture morphology. The structural composition was determined using energy dispersive spectroscopy, while a PTR-1102 bonding tester was used to measure the average shear strength.

Findings
The results indicated that the intermetallic compounds formed at the interface between Cu substrates and solder metal primarily consisted of smooth Cu5Zn8. The Al-side interface mainly comprises an Al-Sn-Zn solid solution, with Zn-Sn-Cu phases forming between SAC0307 particles at 180 °C. During the aging process, atomic diffusion was accelerated, leading to improved connection quality. The shear strength of the joints initially increased before decreasing as aging time progressed; it peaked at 32.92 MPa after 24 h – an increase of 76.8% compared to as-received joints. After reaching stability at 96 h, there was still a notable increase in shear strength by 48.4% relative to as-received joints.

Originality/value
This study further explores the strengthening mechanisms associated with solid-state bonded Cu/SACZ/Al joints through aging processes. Joints created via solid-state bonding demonstrate superior reliability compared to traditional soldered connections. It is anticipated that insights gained from this research will contribute valuable knowledge toward developing low-temperature soldering methodologies for heterogeneous materials.
Mass‐flowering lupin has positive, but limited, effect on wild bee conservation in agricultural landscapes
Authors: Bishop Gabriella A. , Kleijn David , Vicente Inês I. , Fijen Thijs P. M. 
Published: January 2025

Abstract

Mass‐flowering crops have the potential to benefit pollinator conservation while still contributing to agricultural production, but their effects on pollinators can be variable and remain uncertain. Lupin could be particularly suitable for pollinator conservation because it is a late‐flowering legume crop, but its effects on pollinators have never been investigated.

We tested the intra‐ and interannual effects of lupin cultivation on wild bees in landscapes with no history of lupin cultivation. To do this, we surveyed bees in semi‐natural habitats before, during, and after lupin bloom and in the following year in landscapes with and without the experimental addition of 1 ha of lupin (Lupinus albus or Lupinus angustifolius). We also surveyed bees within lupin fields during bloom to understand which species use lupin floral resources.

We found positive effects of lupin cultivation on the abundance of bumblebees in the wider landscape after lupin bloom, likely due to increased bumblebee colony growth. However, this was only the case for the three common species that used lupin floral resources. In addition, this effect did not carry over into the following year.

Some large‐bodied solitary bees, namely, Megachile spp., also utilized lupin floral resources but were not numerous enough in the surrounding landscape to determine an effect. This could be due to a general lack of large‐flowered leguminous floral resources in agricultural landscapes.

Synthesis and applications. Our results indicate that lupin can potentially support the few common, abundant bee species that preferentially visit it. However, to effectively support the entire bee community, conservation management should focus on improving the quality of existing semi‐natural habitats by increasing floral availability and diversity, possibly of Fabaceae floral resources in particular.
The determinants for death in hospital following moderate to severe traumatic brain injury in Australia
Authors: O'Reilly Gerard M , Afroz Afsana , Curtis Kate , Mitra Biswadev , Kim Yesul , Solly Emma , Ryder Courtney , Hunter Kate , Hendrie Delia V , Rushworth Nick , Tee Jin , Fitzgerald Mark C 
Published: January 2025

AbstractObjectivesTo establish the determinants of death in hospital for patients with moderate to severe traumatic brain injury (TBI) in Australia.Design, setting, participantsRetrospective analysis of Australia New Zealand Trauma Registry (ANZTR) data. Cases were included if they presented to a participating hospital between 1 July 2015 and 30 June 2020 and had an Abbreviated Injury Severity (AIS) score – head greater than 2.Main outcome measuresDeath in hospital.ResultsThere were 16 350 patients. Their mean age was 51 years and 71% were male. After adjusting for measures of injury severity, there was an increased odds of in‐hospital death for patients whose injury occurred outside daylight hours or first mode of transport was road ambulance, who were not transferred from another hospital, had an endotracheal tube placed prior to definitive hospital arrival or received their definitive hospital care outside Victoria.ConclusionAmong people presenting to a major trauma hospital in Australia following moderate to severe TBI, there were multiple factors independently associated with death in hospital. The potentially modifiable determinants of in‐hospital death included out‐of‐hours access to emergency care, mode of transfer from the scene of the injury, prior facility care and pre‐definitive hospital endotracheal intubation.
Brain Iron Deposition Alterations in Type 2 Diabetes Mellitus Patients With Mild Cognitive Impairment Based on Quantitative Susceptibility Mapping
Authors: Zhao Qiuyue , Maimaitiaili Subinuer , Bi Yan , Li Ming , Li Xin , Li Qian , Shen Xinyi , Wu Min , Fu Linqing , Zhu Zhengyang , Zhang Xin , Chen Jiu , Hu Anning , Zhang Zhou , Zhang Wen , Zhang Bing 
Published: January 2025

ABSTRACTBackgroundIron is one of the most important elements in brain that may has a direct impact on the stability of central nervous system. The current study devoted to explore the alterations of iron distribution across the whole brain in type 2 diabetes mellitus (T2DM) patients with mild cognitive impairment (MCI).MethodsThe quantitative susceptibility mapping (QSM) technique was used to quantify the intracranial iron content of 74 T2DM patients with MCI and 86 T2DM patients with normal cognition (NC). The group comparison was performed by a voxel‐based analysis. Then we evaluated the relationships between cognitive indicators and magnetic susceptibility value (MSV) measured by QSM of the significant brain areas, which were set as the regions of interest (ROIs). In addition, we analyzed the moderation effects of grey matter volume (GMV) of the related brain areas and several metabolic and cerebrovascular factors on the associations between MSV of ROIs and cognitive characteristics.ResultsT2DM patients with MCI exhibited a lower MSV in the right middle temporal gyrus (MTG) compared to NC group. And in the MCI group, there were significantly negative correlations between MSV of the right MTG and several memory indexes. Furthermore, the moderation effects of GMV of the whole brain and the bilateral MTG on the relationship between MSV of the right MTG and scores of list recognition were significant.ConclusionsT2DM patients with MCI had a temporary decreased iron content in the right MTG, which may partially compensate for cognitive impairment.Trial Registration: The study was registered at Clinicaltrials.gov (NCT02738671)
Comprehensive genomic analysis and selection signature detection in endangered Beigang pigs using whole‐genome sequencing data
Authors: Ma Xuejian , Chen Zitao , Zhang Zhenyang , Liu Shengqiang , Wang Meng , Zhang Xiaowei , Shi Jinhu , Gao Hui , Gu Jiamin , Han He , Pan Yuchun , Wang Qishan 
Published: January 2025

AbstractThe Beigang pig was recently identified as one of the endangered breeds during a Chinese indigenous pig genetic resource survey. The Beigang breed is notable for its remarkable roughage tolerance and high reproductive capacity according to historical records. Morphologically, the Beigang pig resembles many indigenous pigs in eastern China, especially in its large ears. This makes the Beigang pig a valuable reference for studying the genetic mechanisms on large ear size in pigs. However, there is currently a lack of clear understanding regarding the genetic structure and inbreeding levels of the Beigang pig population. This study used whole‐genome sequencing data from Beigang pig (N = 145 pigs) and integrated genetic information from commercial pigs and indigenous pigs in eastern China to conduct a comprehensive analysis of the Beigang pig's genetic structure. Three selection signal detection methods—runs of homozygosity, fixation index, and integrated haplotype score—were employed to explore the differences in genomic selection signatures between Beigang pig and other pig populations. Additionally, we used a public project for regulatory variants discovery and molecular phenotype prediction in farm animal species called FarmGtex to explore the expression of three genes (WIF1, LEMD3, and MSRB3) related to ear size in Beigang pig. This research identified five homozygous variant sites in the WIF1 gene as important candidate loci potentially influencing ear size in Beigang pig. The results indicate that the Beigang pig holds a unique status among Chinese indigenous pigs, characterized by high genetic diversity and low levels of inbreeding. The study also revealed that WIF1 may play a significant role in influencing ear size in this breed. These findings contribute to a deeper understanding of the population structure and genetic characteristics of Beigang pig.