bluuebunny/crossref_metadata_2025_split huggingface dataset:
Green supply chain management and sustainable performance: exploring the role of green ambidexterity innovation and top management environmental awareness
Authors: Martínez-Falcó Javier , Sánchez-García Eduardo , Marco-Lajara Bartolomé , Lee Kyuho 
Published: June 2024

PurposeThis research focuses on analyzing the impact of Green Supply Chain Management (GSCM) on the Sustainable Performance (SP) of Spanish wineries, as well as the mediating effect of Green Ambidexterity Innovation (GAI) and the moderating role of Top Management Environmental Awareness (TMEA) on the main relationship posited (GSCM-SP). In addition, age, size and membership in a Protected Designation of Origin (PDO) were used to increase the precision of the cause-effect relationships examined.Design/methodology/approachThe study proposes a conceptual model based on previous studies, which is tested using structural equations (PLS-SEM) with data collected from 196 Spanish wineries between September 2022 and January 2023.FindingsThe results of the research reveal the existence of a positive and significant relationship between the development of GSCM and SP of Spanish wineries, as well as the partial mediation of GAI and the positive moderation of TMEA in this linkage.Originality/valueThe novelty of this study lies in its exploratory approach, as it ventures into new research territory by examining the mediating effect of GAI and the moderating influence of TMEA on the relationship between GSCM and SP, being, to the authors' knowledge, the first research to investigate these specific dynamics.
Insider ownership and default risk: What does the data reveal about Japanese firms?
Authors: Haque Humaira , Kabir Md. Nurul , Abedin Syeda Humayra , Miah Mohammad Dulal , Sharma Parmendra 
Published: June 2024

PurposeThe ownership structure in Japanese firms has experienced a significant change recently, fueled primarily by regulatory changes. This has important repercussions on corporate performance and risk. This paper examines the impact of insider ownership on the default risk of Japanese firms.Design/methodology/approachWe collected data from the Nikkei Corporate Governance Evaluation System (CGES) database for the period 2004–2019. Our final dataset yields 36,116 firm-year observations. We apply a firm fixed effect model for baseline regression. Endogeneity was checked by applying propensity score matching (PSM) and two-stage least squares (2SLS) techniques. Furthermore, the robustness of baseline regression results was checked using alternative estimation techniques.FindingsResults show a significant positive influence of insider ownership on default risk. Furthermore, ROA volatility and stock price volatility appear to be the major channels through which insider ownership affects a firm’s default risk. We further document that external monitoring mechanisms, including traditional main bank ties, institutional ownership and analyst coverage, are the key risk-mitigating factors.Research limitations/implicationsOur research deals with Japanese firms only. Future research may attempt to analyze the cases of emerging economies. Furthermore, future research might examine the ownership-default risk relationship for financial institutions to see if this relationship differs between financial and nonfinancial firms.Practical implicationsInsider ownership enhances the probability of default. Hence, policymakers may consider instituting a ceiling for insider ownership in Japanese firms. Moreover, we highlight various risk-mediating channels that would help policymakers adopt guidelines for mitigating corporate risk.Originality/valueOur study is the first to investigate the effect of insider ownership on default risk in Japanese settings. Prior studies identified various determinants that affect firms’ default risk. Our study contributes to this stream of literature by examining the impact of insider ownership on default risk and extending the limited literature related to insider ownership.
Confucianism and technology for social good: evidence from Chinese listed firms
Authors: Xu Guozhang , Chen Wanming , Ma Yongyuan , Ma Huanhuan 
Published: June 2024

Purpose
Drawing on the tenets of institutional theory, the purpose of this study is to examine the impact of Confucianism on technology for social good, while also considering the moderating influence of extrinsic informal institutions (foreign culture) and intrinsic formal institutions (property rights).

Design/methodology/approach
This study constructs a comprehensive database comprising 9,759 firm-year observations in China by using a sample of Chinese A-share listed firms from 2016 to 2020. Subsequently, the hypotheses are examined and confirmed, with the validity of the results being upheld even after conducting endogenous and robustness tests.

Findings
The findings of this study offer robust and consistent evidence supporting the notion that Confucianism positively affects technology for social good through both incentive effect and normative effect. Moreover, this positive influence is particularly prominent in organizations with limited exposure to foreign culture and in nonstate-owned enterprises.

Originality/value
The findings contribute to the literature by fostering a deep understanding of technology for social good and Confucianism research, and further provide a nuanced picture of the role of foreign culture and property rights in the process of technology for social good in China.
The impact of open innovation on international revenues: the moderating roles of digital transformation and strategic differentiation
Authors: Wang XiaoHong , Luan XiangYu 
Published: June 2024

PurposeThe purpose of this article is to explore the impact of open innovation on international revenues, as well as the moderating role of digital transformation and strategic differentiation in the relationship.Design/methodology/approachThis study develops a theoretical framework to specify a group of hypotheses. A two-way fixed effect model is used to analyze the relationship between open innovation and international revenues, as well as the moderating effects of digital transformation and strategic differentiation, using panel data of Chinese multinational firms.FindingsResults revealed that open innovation is statistically significantly positive when related to international revenues. Based on the quantitative analysis, the correlation is stronger in sample enterprises with higher digital transformation and strategic differentiation.Originality/valueThis study highlights how open innovation drives international revenues for Chinese listed firms, advancing resource-based view theory in emerging market countries. Introducing digital transformation and strategic differentiation as boundary conditions addresses research gaps and offers practical insights for supporting open innovation for practitioners.
Similarity search on social networks with incremental graph indexing based on probabilistic inference
Authors: Qi Zhiwei , Lu Tong , Yue Kun , Duan Liang 
Published: June 2024

Purpose
This paper aims to propose an incremental graph indexing method based on probabilistic inferences in Bayesian network (BN) for approximate nearest neighbor search (ANNS) that adds unindexed queries into the graph index incrementally.

Design/methodology/approach
This paper first uses the attention mechanism based graph convolutional network to embed a social network into the low-dimensional vector space, which could improve the efficiency of graph index construction. To add the unindexed queries into the graph index incrementally, this study proposes to learn the rule-based BN from social interactions. Thus, the dependency relations of unindexed queries and their neighbors are represented, and the probabilistic inferences in BN are then performed.

Findings
Experimental results demonstrate that the proposed method improves the search precision by at least 5% and search efficiency by 10% compared to the state-of-the-art methods.

Originality/value
This paper proposes a novel method to construct the incremental graph index based on probabilistic inferences in BN, such that both indexed and unindexed queries in ANNS could be addressed efficiently.
Technological adoption: the case of PIX in Brazil
Authors: Amboage Gabriel Bernardes , Monteiro Guilherme Fowler de Avila , Bortoluzzo Adriana Bruscato 
Published: June 2024

PurposeThis study investigates the primary determinants of consumers' intention to adopt PIX as a payment method in Brazil, as well as their actual usage behavior.Design/methodology/approachThe study employs the Unified Theory of Acceptance and Use of Technology (UTAUT) to analyze both the intention to use and the actual period of use of PIX technology as a measure of practical usage. With this approach, researchers can determine whether people’s intention to use PIX translates into a higher rate of technology adoption and effective and sustained usage. The study collected data from 659 consumers across Brazil through a questionnaire and used structural equation analysis to analyze the data.FindingsResearch suggests that the intention to adopt PIX as a payment method is mainly determined by the perceived value, performance expectancy, and the habit of using mobile internet. Positive associations are also confirmed between adoption intention, the effective usage time of PIX, and the habit of using mobile internet in conjunction with PIX use.Originality/valueThe study’s uniqueness stems from its focus on the PIX usage, which is becoming the primary payment method in Brazil. It also measures the practical usage of the technology by examining the duration of user experience. This enables the assessment of whether the intention to use PIX effectively translates into a higher speed of technology adoption.
Inflation persistence: new evidence across US metro areas
Authors: Apergis Nicholas 
Published: June 2024

Purpose
The purpose of this paper is to explore the degree of inflation persistence across all US metro areas over the post-pandemic period.

Design/methodology/approach
Both the Multivariate Core Trend (MCT) model and a fractional integration model, that is the Multivariate Unobserved-Components Stochastic Volatility Outlier-adjusted (MUCSVO) model are estimated.

Findings
The findings provide clear evidence of a significant inflation persistence in ten metro areas and the absence of persistence in the remaining areas, implying that in the former areas, inflation clearly indicates a strong persistent pattern. In other words, in these ten areas, the persistent component dominates the evolution of the trend and stands as a significant driver of inflation.

Research limitations/implications
The findings have important implications for US policymakers to consider implementing more targeted policies to address inflation in specific metro areas to reduce the overall inflation rate, or they may need to consider tailoring fiscal policies to address inflationary pressures in specific metro areas. The findings illustrate the need for targeted policy interventions to address inflationary pressures in specific areas, as well as the importance of understanding the drivers of inflation persistence to develop effective policy responses. The findings also provide insights to firms on how to mitigate the risks of inflation. They may need to diversify their products or supplier base so that they do not rely on areas experiencing persistent inflation.

Originality/value
This paper contributes to the literature by extending the discussion of the impact of the recent pandemic crisis on US regional inflation. The findings have important implications for US policymakers to consider implementing more targeted policies to address inflation in specific metro areas to reduce the overall inflation rate, or they may need to consider tailoring fiscal policies to address inflationary pressures in specific metro areas. The findings illustrate the need for targeted policy interventions to address inflationary pressures in specific areas, as well as the importance of understanding the drivers of inflation persistence to develop effective policy responses. The findings also provide insights to firms on how to mitigate the risks of inflation. They may need to diversify their products or supplier base so that they do not rely on areas experiencing persistent inflation.
Out of shape: Ocean acidification simplifies coral reef architecture and reshuffles fish assemblages
Authors: Priest Jamie , Ferreira Camilo M. , Munday Philip L. , Roberts Amelia , Rodolfo‐Metalpa Riccardo , Rummer Jodie L. , Schunter Celia , Ravasi Timothy , Nagelkerken Ivan 
Published: June 2024

Abstract

Climate change stressors are progressively simplifying biogenic habitats in the terrestrial and marine realms, and consequently altering the structure of associated species communities.

Here, we used a volcanic CO2 seep in Papua New Guinea to test in situ if altered reef architecture due to ocean acidification reshuffles associated fish assemblages.

We observed replacement of branching corals by massive corals at the seep, with simplified coral architectural complexity driving abundance declines between 60% and 86% for an assemblage of damselfishes associated with branching corals. An experimental test of habitat preference for a focal species indicated that acidification does not directly affect habitat selection behaviour, with changes in habitat structural complexity consequently appearing to be the stronger driver of assemblage reshuffling. Habitat health affected anti‐predator behaviour, with P. moluccensis becoming less bold on dead branching corals relative to live branching corals, irrespective of ocean acidification.

We conclude that coral reef fish assemblages are likely to be more sensitive to changes in habitat structure induced by increasing pCO2 than any direct effects on behaviour, indicating that changes in coral architecture and live cover may act as important mediators of reef fish community structures in a future ocean.
Alliance Partner Choice and CEOs’ Facial Structure
Authors: Kang Ribuga , Kang Jingoo , Kim Andy Y. Han , Choi Yoonhee 
Published: June 2024

AbstractWe examine how CEOs’ facial width‐to‐height ratio relates to their firm's alliance partner choice. Using a sample of 2627 alliances of 184 US firms in high‐technology industries between 1993 and 2020, we find that firms led by CEOs with a greater facial width‐to‐height ratio are more likely to ally with new and unfamiliar partners. This tendency is more pronounced when the partner firm is larger or more central in the alliance network than the focal firm. We also find that this tendency is strengthened when the focal firm's performance is below aspirations. Our findings suggest that wider‐faced CEOs are more inclined to take risks and seek status in their alliance partner choice. Our paper bridges upper echelons theory and strategic alliance literature by examining the role of an important but understudied physical attribute of executives in the context of strategic alliances.
Controlling the expression of heterologous genes in Bdellovibrio bacteriovorus using synthetic biology strategies
Authors: Salgado Sergio , Hernández‐Herreros Natalia , Prieto M. Auxiliadora 
Published: June 2024

AbstractBdellovibrio bacteriovorus HD100 is an obligate predatory bacterium that preys upon Gram‐negative bacteria. It has been proposed to be applied as a “living antibiotic” in several fields such as agriculture or even medicine, since it is able to prey upon bacterial pathogens. Its interesting lifestyle makes this bacterium very attractive as a microbial chassis for co‐culture systems including two partners. A limitation to this goal is the scarcity of suitable synthetic biology tools for predator domestication. To fill this gap, we have firstly adapted the hierarchical assembly cloning technique Golden Standard (GS) to make it compatible with B. bacteriovorus HD100. The chromosomal integration of the Tn7 transposon's mobile element, in conjunction with the application of the GS technique, has allowed the systematic characterization of a repertoire of constitutive and inducible promoters, facilitating the control of the expression of heterologous genes in this bacterium. PJExD/EliR proved to be an exceptional promoter/regulator system in B. bacteriovorus HD100 when precise regulation is essential, while the synthetic promoter PBG37 showed a constitutive high expression. These genetic tools represent a step forward in the conversion of B. bacteriovorus into an amenable strain for microbial biotechnology approaches.
Modelling internal stem damage in savanna trees: Error in aboveground biomass with terrestrial laser scanning and allometry
Authors: Calvert Jed , Yatsko Abbey R. , Bresgi Judy , Cheesman Alexander W. , Cook Keith , Crowe James , Gambold Indigo , Jones Caleb , O'Connor Liam , Peter Tony , Russell‐Smith Pedro , Taylor Elisha , Trigger Blair , Wijas Baptiste , Zanne Amy E. 
Published: June 2024

Abstract

Forests and woodlands are critical terrestrial carbon stores. Tree aboveground biomass (AGB) can be estimated using allometric models and terrestrial laser scanning (TLS). However, internal tree stem damage from biotic decay is an unresolved source of error for both TLS and allometries, with implications for accurate carbon assessment.

We destructively harvested 63 TLS‐scanned trees in an Australian savanna, quantified internal damage in each tree by sampling cross sections at multiple heights, and modelled the effect of damage on AGB estimation for individual trees and total estimated biomass. We tested the performance of TLS AGB modelling against five allometries, applying both database and field‐measured wood specific gravity. For TLS‐modelled and allometric AGB estimates, we tested if tree size and level of internal stem damage contributed to AGB deviations.

Approximately half of the trees in the study sustained 1–10% damage by volume, which was most extensive in the base and main trunk, decreasing into the crown. On average, damaged trees had 5% internal stem damage (by volume, SD = 6.65%), with some as high as 30%. We found TLS‐derived quantitative structural models (TLS‐QSMs) using field‐measured wood specific gravity to be most accurate in estimating total biomass (R2 = 0.99, +0.59% bias). TLS‐QSMs tended to overpredict AGB of large, damaged trees, and AGB estimates from allometric models were largely unaffected by internal damage. For individual trees, all methods were effective for predicting field‐measured AGB (R2 > 0.84) and several ASMs performed well (± ~10% bias). In the absence of local wood specific gravity calibration, a pantropical ASM was most accurate.

For systems where internal stem damage is low (<10% of tree volume), TLS can be used to estimate AGB with low levels of error, however more damaged wooded ecosystems (>10%) are likely to produce inflated biomass estimates if TLS is used without calibration for damage. Internal stem damage should be quantified in ASMs and incorporated into TLS‐modelled AGB calibration to avoid biomass overestimation and maintain high standards of precision in forest carbon accounting.
Integrated multi‐omic analyses uncover the effects of aging on cell‐type regulation in glucose‐responsive tissues
Authors: Xu Peng , Kong Yimeng , Palmer Nicholette D. , Ng Maggie C. Y. , Zhang Bin , Das Swapan K. 
Published: June 2024

AbstractAging significantly influences cellular activity and metabolism in glucose‐responsive tissues, yet a comprehensive evaluation of the impacts of aging and associated cell‐type responses has been lacking. This study integrates transcriptomic, methylomic, single‐cell RNA sequencing, and metabolomic data to investigate aging‐related regulations in adipose and muscle tissues. Through coexpression network analysis of the adipose tissue, we identified aging‐associated network modules specific to certain cell types, including adipocytes and immune cells. Aging upregulates the metabolic functions of lysosomes and downregulates the branched‐chain amino acids (BCAAs) degradation pathway. Additionally, aging‐associated changes in cell proportions, methylation profiles, and single‐cell expressions were observed in the adipose. In the muscle tissue, aging was found to repress the metabolic processes of glycolysis and oxidative phosphorylation, along with reduced gene activity of fast‐twitch type II muscle fibers. Metabolomic profiling linked aging‐related alterations in plasma metabolites to gene expression in glucose‐responsive tissues, particularly in tRNA modifications, BCAA metabolism, and sex hormone signaling. Together, our multi‐omic analyses provide a comprehensive understanding of the impacts of aging on glucose‐responsive tissues and identify potential plasma biomarkers for these effects.
Altered levels of phospholipases C, diacylglycerols, endocannabinoids, and N‐acylethanolamines in patients with hereditary angioedema due to FXII mutation
Authors: Ferrara Anne Lise , Palestra Francesco , Piscitelli Fabiana , Petraroli Angelica , Suffritti Chiara , Firinu Davide , López‐Lera Alberto , Caballero Teresa , Bork Konrad , Spadaro Giuseppe , Marone Gianni , Di Marzo Vincenzo , Bova Maria , Loffredo Stefania 
Published: June 2024

AbstractBackgroundHereditary angioedema (HAE) is a rare genetic disorder characterized by local, self‐limiting edema due to temporary increase in vascular permeability. HAE with normal C1 esterase inhibitor (C1INH) activity includes the form with mutations in the F12 gene encoding for coagulation factor XII (FXII‐HAE) causing an overproduction of bradykinin (BK) leading to angioedema attack. BK binding to B2 receptors (BK2R) leads to an activation of phospholipase C (PLC) and subsequent generation of second messengers: diacylglycerols (DAGs) and possibly the endocannabinoids (eCBs), 2‐arachidonoylglycerol (2‐AG) and anandamide (AEA), and eCB‐related N‐acylethanolamines [palmitoylethanolamide (PEA) and oleoylethanolamide (OEA)]. To date, there are no data on the role of these lipid mediators in FXII‐HAE.MethodsHere, we analyzed plasma levels of PLC, DAGs, and eCBs in 40 patients with FXII‐HAE and 40 sex‐ and age‐matched healthy individuals.ResultsPlasma PLC activity was increased in FXII‐HAE patients compared to controls. Concentrations of DAG 18:1–20:4, a lipid second messenger produced by PLC, were higher in FXII‐HAE compared to controls, and positively correlated with PLC activity and cleaved high molecular kininogen (cHK). Also the concentrations of the DAG metabolite, 2‐AG were altered in FXII‐HAE. AEA and OEA were decreased in FXII‐HAE patients compared to controls; by contrast, PEA, was increased. The levels of all tested mediators did not differ between symptomatic and asymptomatic patients. Moreover, C1INH‐HAE patients had elevated plasma levels of PLC, which correlated with cHK, but the levels of DAGs and eCBs were the same as controls.ConclusionsBK overproduction and BKR2 activation are linked to alteration of PLCs and their metabolites in patients with FXII‐HAE. Our results may pave way to investigations on the functions of these mediators in the pathophysiology of FXII‐HAE, and provide new potential biomarkers and therapeutic targets.