bluuebunny/crossref_metadata_2025_split huggingface dataset:
Socially responsible HRM and hotel employees’ environmental performance: the mediating roles of green knowledge sharing and environmental commitment
Authors: Rubel Mohammad Rabiul Basher , Kee Daisy Mui-Hung , Yusliza Mohd Yusoff , Rimi Nadia Newaz 
Published: April 2023

Purpose
This study aims to investigate how employee environmental performance (EP) is affected by socially responsible human resource management (SRHRM) via green knowledge sharing (GKS) and environmental commitment (EC).

Design/methodology/approach
Partial least squares-structural equation modeling was used to analyze data from 494 frontline employees of hotels.

Findings
The findings reveal that SRHRM influences employee EP, GKS and EC. SRHRM indirectly predicts individual EP through GKS and EC mediation. GKS and EC also have significant relationships with employee EP.

Practical implications
Hotels can use the findings of this study to develop effective strategies to promote employees’ positive responses to the environment and improve their organizational identification. Moreover, the current research enables the organization to recognize the importance of employees’ GKS and EC and capitalize on them.

Originality/value
This study links SRHRM to the individual EP level in the hotel industry. This study reveals the importance of EC and GKS as psychological mechanisms linking SRHRM and EP.
The bottlenecks in making sense of financial well-being
Authors: Riitsalu Leonore , Atkinson Adele , Pello Rauno 
Published: April 2023

PurposeFinancial well-being has gained increased attention in research, policy and the financial sector. The authors contribute to this emerging field by drawing attention to the bottlenecks in financial well-being research and proposing ways for transforming and advancing it.Design/methodology/approachThe authors conducted a semi-systematic review of the latest 120 financial well-being studies from both academic and grey literature and analyse the current issues in defining, conceptualising and measuring it.FindingsThe authors identify the need for a more human-centred approach across content and methodology, conceptualisation and operationalisation, research and practice, that focusses on how individuals experience, interpret and assess financial well-being. The authors highlight the lack of evidence-based interventions for improving financial well-being.Practical implicationsThe authors propose applying design science approach for redefining the problems that individuals need help in solving and for developing and testing interventions that improve financial well-being and are in line with individuals’ needs and aspirations. The authors also call for international qualitative research into the human perspective of financial well-being.Social implicationsFinancial well-being has a significant role in mental health and well-being; therefore, it affects the lives of individuals and societies far beyond financial affairs. Change of perspective can lead to evidence-based interventions that better the lives of many, reduce inequality and develop more balanced communities.Originality/valueThe authors argue that the human dimension has been assumed in financial well-being research, practice and police, rather than confirmed, based on flawed assumptions that what people experience is already known.Peer reviewThe peer review history for this article is available at:https://publons.com/publon/10.1108/IJSE-11-2022-0741
How intrafirm collaboration network influences a firm’s new knowledge search? Longitudinal evidence from the US biotechnology industry
Authors: Nan Ding 
Published: April 2023

Purpose
This study aims to reveal the contribution mechanism of various types of intrafirm networks formed among inventors to firms’ searching for new knowledge. This study also intends to show how this mechanism is influenced by the geographic dispersion of inventors and the external alliance of firms.

Design/methodology/approach
This study develops an analytical framework building on social network theory to explain the collective search among inventors within the firm. The authors validate the hypotheses using the data from 316 publicly traded biotechnology firms in the USA.

Findings
As demonstrated by the findings, intrafirm network clustering facilitates the search for new knowledge. The geographic dispersion of inventors’ location has a negative moderating effect on this relation, whereas the number of alliance partners has a positive moderating effect on this relation. By contrast, the search for new knowledge is hampered by the intrafirm network average path length. The geographic dispersion of inventors positively moderates this relation, whereas a firm’s alliance partner number negatively moderates this relation.

Originality/value
To the best of the authors’ knowledge, this study is the first to examine the joint effect of intrafirm networks, inventors’ geographic locations and external alliances on the new knowledge-searching process. This study points out that new knowledge acquired through inventors’ geographic locations and alliance partners is internalized efficiently according to different types of internal networks.
Management of alliance post-formation dynamics: an integrated model
Authors: Shi Lulu , Jiang Xu 
Published: April 2023

PurposeBy reviewing the literature, this paper explores the current priorities and future directions of alliance post-formation dynamics research.Design/methodology/approachThis paper collects and analyzes empirical studies on alliance post-formation dynamics that were published between 1990 and 2021.FindingsCurrent research on alliance post-formation dynamics can be structured as antecedents and outcomes of dynamics and their moderating effects. Among these topics, antecedents of dynamics have been addressed in a large body of research encompassing diverse theoretical mechanisms and levels of analysis. However, there remain debates regarding the outcomes of alliances post-formation dynamics.Originality/valueFirst, this paper enriches the theoretical plurality of the field by integrating the antecedents and outcomes of dynamics and their moderating effects. Second, this paper proposes a new scholarly perspective – “alliance dynamic capabilities” – to address the “disruption vs adaption” debates regarding the outcomes of alliance post-formation dynamics in current research. Third, this paper presents several promising future research directions with the aim to advancing the literature on alliance post-formation dynamics.
Debt covenants and classification shifting: moderating role of audit quality
Authors: Bansal Manish 
Published: April 2023

PurposeThe study aims to investigates which form of classification shifting is preferred by firms to avoid the violation of debt covenants and whether the higher-audit quality constraints the shifting practices of firms incentivized to avoid covenant violations or not.Design/methodology/approachA sample of 1,644 Bombay Stock Exchange (BSE)-listed firms during the period 2009–2021 has been used in this study and tested through panel data regression models. Two forms of classification shifting, namely expense shifting and revenue shifting have been taken into account. The findings are validated through the propensity-score matching technique.FindingsThe findings deduced from the empirical evidence demonstrate that firms prefer revenue shifting over expense shifting to avoid covenant violations, consistent with the notion of the ease-need-advantage-based shifting framework, where firms are found to prefer a shifting tool with greater relative advantage. Further, the author finds that superior audit quality has a constraining effect on expense shifting, but not on revenue shifting, indicating the partial effectiveness of high-quality auditors in curbing the corporate misfeasance of classification shifting. These results are robust to the problem of endogeneity and self-selection bias.Originality/valueThe paper provides new evidence on debt market incentives behind classification shifting, where firms are found to substitute classification shifting forms to avoid covenant violations. Further, the study is among pioneering attempts to investigate the impact of audit quality on revenue shifting and document the non-constraining effect.
Becoming settlers: Elements and mechanisms for surface colonization by Pseudomonas putida
Authors: Espinosa‐Urgel Manuel , Ramos‐González María Isabel 
Published: April 2023

AbstractPseudomonads are considered to be among the most widespread culturable bacteria in mesophilic environments. The evolutive success of Pseudomonas species can be attributed to their metabolic versatility, in combination with a set of additional functions that enhance their ability to colonize different niches. These include the production of secondary metabolites involved in iron acquisition or having a detrimental effect on potential competitors, different types of motility, and the capacity to establish and persist within biofilms. Although biofilm formation has been extensively studied using the opportunistic pathogen Pseudomonas aeruginosa as a model organism, a significant body of knowledge is also becoming available for non‐pathogenic Pseudomonas. In this review, we focus on the mechanisms that allow Pseudomonas putida to colonize biotic and abiotic surfaces and adapt to sessile life, as a relevant persistence strategy in the environment. This species is of particular interest because it includes plant‐beneficial strains, in which colonization of plant surfaces may be relevant, and strains used for environmental and biotechnological applications, where the design and functionality of biofilm‐based bioreactors, for example, also have to take into account the efficiency of bacterial colonization of solid surfaces. This work reviews the current knowledge of mechanistic and regulatory aspects of biofilm formation by P. putida and pinpoints the prospects in this field.
Distribution of the compression and expansion of morbidity in 194 countries and territories, 1990–2016: The role of income inequality
Authors: Chen He , Ning Jing , Hu Hongwei , He Haotian 
Published: April 2023

AbstractStudies on detailed types of health changes and the associations between the types and income inequality are inadequate. This study analyses the global distribution of the compression and expansion of morbidity in 194 countries and territories between 1990 and 2016, and investigates the role of income inequality in the distribution. This study shows that all seven types of health changes coexist, despite being distributed unevenly. The relative expansion of morbidity with increased or constant life expectancy (Type 6, 54.48%) is the most popular type, followed by the relative compression of morbidity with increased or constant life expectancy (Type 3, 30.71%). Income distribution within a society matters for health changes. Societies with greater income inequality tend to have Type 6, a worse scenario of health changes. Measures to reduce income inequality or mitigate its adverse effects will contribute to the relative compression of morbidity with increased or constant life expectancy.
The association between daytime napping and risk of type 2 diabetes is modulated by inflammation and adiposity: Evidence from 435 342 UK‐Biobank participants
Authors: Zhou Rui , Chen Hao‐Wen , Huang Yi‐Ning , Zhong Qi , Li Fu‐Rong , Huang Rui‐Dian , Liu Hua‐Min , Zheng Jia‐Zhen , Xu Jia‐Wen , Wu Xian‐Bo 
Published: April 2023

AbstractBackgroundExisting evidence concerning the relationship between daytime napping and type 2 diabetes (T2D) is inconsistent, and whether the effects of napping differ by body fat percentage (BFP) and C‐reactive protein (CRP) is unclear. We aimed to investigate the association between daytime napping frequency and T2D risk and whether such an association was modified by BFP and CRP.MethodsWe included 435 342 participants free of diabetes from the UK Biobank. Participants were categorized as nonnappers, occasional nappers, and frequent nappers based on napping frequency, and BFP/CRP was divided into quartiles. Cox proportional hazards models were used.ResultsDuring a median follow‐up of 9.2 years, 17 592 T2D cases occurred. Higher frequency of daytime napping was significantly associated with an increased risk of T2D. Compared with nonnappers, the adjusted hazard ratios (HRs) for occasional nappers and habitual nappers were 1.28 (95% confidence interval [CI]: 1.24–1.32) and 1.49 (95% CI: 1.41–1.57), respectively. There was a significant additive and multiplicative interaction (relative excess risk due to interaction [RERI] = 0.490, 95% CI 0.307–0.673; p for multiplicative interaction <.001) between napping and BFP, whereby a higher hazard of T2D associated with more frequent napping was greatest among participants in the highest BFP quartile (HR = 4.45, 95% CI: 3.92–5.06). The results for CRP were similar (RERI = 0.266, 95% CI: 0.094–0.439; p for multiplicative interaction <.001).ConclusionsHigher daytime napping frequency is associated with an increased T2D risk, and such relationships are modified by BFP and CRP. These findings underscore the importance of adiposity and inflammation control to mitigate diabetes risk.
Enabling Politeness: Perfumers and Male Self‐Fashioning in Britain, c. 1750–1800
Authors: Withey Alun 
Published: April 2023

AbstractPerfumers have long been associated with the manufacture and sale of cosmetic products for women in the eighteenth century. This article argues, however, that the place of perfumers as retailers of goods for men has been overlooked and that they were, in fact, key enablers in the construction of polite masculinity. In so doing, it also raises broader questions about the gendering both of particular types of retail and of shop spaces.
Does greater access to employees with information technology capability improve financial reporting quality?
Authors: Abernathy John L. , Klaus Jan (J.) Philipp , Le Linh , Masli Adi 
Published: April 2023

AbstractAlthough information technology (IT) plays an essential role in financial reporting, many companies today lack sufficient human capabilities to utilize IT competently. We examine the association between a firm's access to IT‐capable labor and financial reporting quality (FRQ). We proxy for access to IT‐capable labor using workforce measures in the metropolitan statistical area (MSA) where the firm operates, including (1) the number of IT‐related college degrees relative to the total active workforce, (2) the level of education of IT graduates, (3) the income level of IT graduates, and (4) a composite measure. We find that firms in MSAs with a higher IT‐competent labor force are associated with fewer financial reporting misstatements and internal control issues. This study contributes to the emerging literature stream examining the influence of geographic labor characteristics on firm‐level outcomes and the research on the impact of IT capability on financial reporting processes. We also inform the current movement of integrating IT knowledge into the education curriculum.
Forecasting Korean Stock Returns with Machine Learning
Authors: Noh Hohsuk , Jang Hyuna , Yang Cheol‐Won 
Published: April 2023

AbstractThis paper aims to evaluate the predictive power of financial variables by using various machine learning methods. An analysis is conducted on data for the Korean stock market, which is representative of emerging markets, over 32 years from 1987 to 2018. The study shows that median regression is a more efficient tool than mean regression in the presence of potential heterogeneity of stocks, significantly improving performance in terms of average realized monthly return. This suggests that median regression can have better predictive performance in emerging markets where there are likely to be outliers. Additionally, a gradient boosting machine (GBM) is found to be better than a traditional linear model both in prediction accuracy and portfolio performance. The hedged return from GBM is on average 2.89% per month with an annualized Sharpe ratio of 0.93 in the median regression. The neural network (NN) is also tested and shown to perform best when the number of hidden layers is two or three. Finally, we evaluatea list of predictor variables with various measures of variable importance. Variables of risk, price trend and liquidity are found to serve as important predictors.
Default categorization of outgroup faces and the other race effect: Commentary on the special issue
Authors: Bartholow Bruce D. 
Published: April 2023

AbstractThis commentary addresses how studies examining the neurophysiological correlates of racial categorization can provide insight into the neurocognitive mechanisms of the other‐race effect in recognition memory. Several articles in the special issue describe how event‐related potentials (ERPs) have been used to examine processing of faces that vary according to race, some of which have concluded that larger ERP amplitudes elicited by other‐race (relative to own‐race) faces indicates less efficient visual processing of other‐race faces. I describe findings from ERP studies of race categorization that suggest an alternative interpretation–that other‐race faces elicit stronger categorization, which impedes individuation of other‐race faces. Suggestions for future research are offered.
Do Backward Associations Have Anything to Say About Language?
Authors: Chartier Thomas F. , Dautriche Isabelle 
Published: April 2023

AbstractIn this letter, we argue against a recurring idea that early word learning in infants is related to the low‐level capacity for backward associations—a notion that suggests a cognitive gap with other animal species. Because backward associations entail the formation of bidirectional associations between sequentially perceived stimulus pairs, they seemingly mirror the label‐referent bidirectional mental relations underlying the lexicon of natural language. This appealing but spurious resemblance has led to various speculations on language acquisition, in particular regarding early word learning, which we deconstruct here.
Effects of steroid stewardship on glycemic control in acute exacerbations of chronic obstructive pulmonary disease patients
Authors: Cole Jennifer L. 
Published: April 2023

AbstractIntroductionThe adverse effects of corticosteroids are dose‐dependent, and guidance is to use the lowest effective dose in most disease states. The study facility recently reported a steroid stewardship program that reduced steroid dosing in acute exacerbations of chronic obstructive pulmonary disease (AECOPD) patients by 50%. The purpose of this post‐hoc analysis was to evaluate the effect of this intervention on glycemic control in hospitalized AECOPD before and after cohorts.MethodsThis was a retrospective post‐hoc review of hospitalized patients in a before and after study design (n = 27 in each group). The primary endpoint was the proportion of glucose readings >180 mg/dL. Baseline characteristics, mean glucose levels, and corrective insulin were also collected. Continuous variables were compared with a Student's t‐test (or Mann–Whitney U where appropriate) and nominal variables with a chi‐square test in R Studio.ResultsThere was a significantly higher proportion of glucose >180 mg/dL readings in the pre‐intervention cohort: 38% vs. 25% (p = 0.007). The mean glucose levels were numerically lower post‐intervention but did not reach statistical significance (160 mg/dL vs. 145 mg/dL, p = 0.27) both in diabetics (192 mg/dL vs. 181 mg/dl, p = 0.69) and non‐diabetics (142 mg/dL vs. 125 mg/dL, p = 0.08). The use of correctional insulin was similar: a median of 25 units vs. 24.5 units (p = 0.92).ConclusionA stewardship program focused on steroid reduction in AECOPD significantly lowered the proportion of hyperglycemic readings but did not significantly affect mean glucose and corrective insulin usage while hospitalized.
Relationship between a deep learning model and liquid‐based cytological processing techniques
Authors: Ikeda Katsuhide , Sakabe Nanako , Maruyama Sayumi , Ito Chihiro , Shimoyama Yuka , Oboshi Wataru , Komene Tetsuya , Yamaguchi Yoshitaka , Sato Shouichi , Nagata Kohzo 
Published: April 2023

AbstractObjectiveArtificial intelligence (AI)–based cytopathology studies conducted using deep learning have enabled cell detection and classification. Liquid‐based cytology (LBC) has facilitated the standardisation of specimen preparation; however, cytomorphology varies according to the LBC processing technique used. In this study, we elucidated the relationship between two LBC techniques and cell detection and classification using a deep learning model.MethodsCytological specimens were prepared using the ThinPrep and SurePath methods. The accuracy of cell detection and cell classification was examined using the one‐ and five‐cell models, which were trained with one and five cell types, respectively.ResultsWhen the same LBC processing techniques were used for the training and detection preparations, the cell detection and classification rates were high. The model trained on ThinPrep preparations was more accurate than that trained on SurePath. When the preparation types used for training and detection were different, the accuracy of cell detection and classification was significantly reduced (P < 0.01). The model trained on both ThinPrep and SurePath preparations exhibited slightly reduced cell detection and classification rates but was highly accurate.ConclusionsFor the two LBC processing techniques, cytomorphology varied according to cell type; this difference affects the accuracy of cell detection and classification by deep learning. Therefore, for highly accurate cell detection and classification using AI, the same processing technique must be used for both training and detection. Our assessment also suggests that a deep learning model should be constructed using specimens prepared via a variety of processing techniques to construct a globally applicable AI model.
Comparison of the effects of sitagliptin and dapagliflozin on time in range in Japanese patients with type 2 diabetes stratified by body mass index: A sub‐analysis of the DIVERSITY‐CVR study
Authors: Takuma Kota , Fuchigami Ayako , Shigiyama Fumika , Kumashiro Naoki , Hirose Takahisa 
Published: April 2023

AbstractAimsTo compare the effects of baseline background characteristics in patients treated with dapagliflozin and sitagliptin in the DIVERSITY‐CVR study and to analyse the time in range (TIR), a metric for glycaemic control.Materials and methodsThis prospective, randomized, multicentre study included 340 Japanese patients with early‐stage type 2 diabetes. To examine the effects of dapagliflozin and sitagliptin on glycaemic variability, we re‐examined the primary endpoint (glycated haemoglobin [HbA1c] < 7.0%, body weight loss ≥ 3.0%, and avoidance of hypoglycaemia) achievement rate in participants stratified by baseline background characteristics.ResultsSitagliptin was significantly superior in achieving HbA1c level <7.0% in the lower body mass index (BMI) group (71.1% vs. 43.6%; P < 0.05), with no significant differences in other subgroups. In the lower BMI group, the rate of achievement of TIR > 70% after 24‐week treatment was significantly higher with sitagliptin than with dapagliflozin (91.9% vs. 69.4%; P < 0.05). In contrast, dapagliflozin was superior to sitagliptin in achieving TIR > 70% in the higher BMI group (85.7% vs. 52.9%; P < 0.01).ConclusionIn Japanese patients with early‐stage type 2 diabetes, sitagliptin was associated with improved TIR in patients with a lower BMI. Dapagliflozin was effective in patients with a higher BMI.