bluuebunny/crossref_metadata_2025_split huggingface dataset:
Auditing ethics and corruption: οld challenges and new trends for Supreme audit institutions in turbulent times
Authors: Kontogeorga Georgia , Papapanagiotou Anna 
Published: August 2022

PurposeThe purpose of this paper is to examine how Supreme audit institutions (SAIs) address the issue of auditing ethical cases and, more specifically, to research whether the organizational structure of an SAI affects the variables of “corruption” and “trust in government.”Design/methodology/approachThe authors categorized SAIs into two groups depending on their organizational structure according to two divergent philosophies: the court (French) and Anglo-Saxon models. These reflect the presidential and parliamentary systems, respectively. Given the lack of a common definition for these concepts, the authors tested their results using several indexes for corruption by examining OECD (The Organisation for Economic Co-operation and Development) Member countries between 2015 and 2019.FindingsThe authors’ research showed that SAIs organized according to the Anglo-Saxon philosophy achieved better scores than judicial SAIs for all indexes, and the difference was statistically significant. This result confirms the results of previous studies; however, one single common SAI model worldwide is not necessarily the optimal solution for fighting corruption.Originality/valueThe topic of this paper is a challenging and promising one for scholars and practitioners alike, as it combines a review of SAIs' community practices with academic research by expanding the scant literature in this field.
Acquiring supply chain agility through information technology capability: the role of demand forecasting in retail industry
Authors: Bai Bingfeng 
Published: August 2022

PurposeDespite the importance of demand forecasting in retail industry, its influence on supply chain agility has not been sufficiently examined. From a total information technology (IT) capability perspective, the purpose of this paper is to examine the antecedent of supply chain agility through retail demand forecasting.Design/methodology/approachCombining the literature reviews, the quantitative method of algorithm analysis was targeted at, and the firm data were processed on MATLAB.FindingsThis paper summarizes IT dimensions of demand forecasting in retail industry and distinguishes the relationship of supply chain agility and demand forecasting from an IT capability view.Practical implicationsManagers can derive a better understanding and measurement of operating activities that appropriately balance among supply chain agility, IT capability and demand forecast practice. Demand forecasting should be integrated into the firm operations to determine the agility level of supply chain in marketplace.Originality/valueThis paper constructs new theoretical grounds for research into the relationship of demand forecasting-supply chain agility and provides an empirical assessment of the essential components for the means to prioritize IT-supply chain.
The relationship between emotional intelligence, transformational leadership, and performance: a test of the mediating role of job satisfaction
Authors: Alwali Joather , Alwali Wafaa 
Published: August 2022

PurposeThis paper examines the effect of job satisfaction on job performance among physicians in Iraq's public hospitals. It also determines the mediating role of job satisfaction on the relationship between emotional intelligence and job performance. It further unveils the mediating role of job satisfaction on the nexus between transformational leadership and job performance. As physicians form the bulk of health-care professionals, their performance at work is crucial in determining patient satisfaction regarding care quality.Design/methodology/approachA quantitative approach with structural equation modelling via partial least squares (PLS-SEM) and bootstrapping estimation was used to test the hypotheses developed. A total of 157 responses were utilized in the data analysis.FindingsEvidence from the study indicates that job satisfaction has a positive relationship with job performance. The study also provides evidence that job satisfaction plays a positive mediating role in the relationship between emotional intelligence and job performance. Similarly, job satisfaction has a positive mediating effect on the nexus between transformational leadership and job performance among physicians in Iraq's public hospitals.Originality/valueTo the best of the authors' knowledge, this is the first study to investigate the relationship between physician job satisfaction and job performance in Iraqi public hospitals. Studies using Eastern samples are scarce, so the findings of this study will add to the body of knowledge from a cross-cultural standpoint.
How does an investor prioritize ESG factors in India? An assessment based on fuzzy AHP
Authors: Sood Kirti , Pathak Prachi , Jain Jinesh , Gupta Sanjay 
Published: August 2022

PurposeThe primary objective of the study is to discover the most prominent criteria and sub-criteria among environmental issues, social dimensions and corporate governance factors that may impact individual equity investors' investment decisions.Design/methodology/approachThe present study collected data from 438 individual equity investors from the North Indian region. To achieve the objectives of the study, a fuzzy analytic hierarchy process (Fuzzy AHP) was applied. The key considerations of the study were environmental, social and governance (ESG) factors.FindingsThe governance criterion was discovered to be the most significant factor influencing individual equity investors' investment decisions among the three ESG factors, followed by environmental criteria, while social criteria were shown to be the least influential.Research limitations/implicationsThe present study solely looked at ESG issues as drivers of stock investors' investment decisions. In the current world, however, many other factors, including behavioral biases, accounting information, ownership structure and fundamental analysis, can have a substantial influence on investors' investment decisions.Practical implicationsThe study's findings widen the theoretical contribution in the field of responsible investment by asserting how ESG factors influence investors' investment decisions in the equity market. From a practical standpoint, this study applies to retail and institutional investors, portfolio managers, financial advisors, market regulators, corporations and society at large.Originality/valueTo the best of authors knowledge, no attempt has been made to prioritize the ESG issues that impact the investment decisions of individual equity investors. Ergo, this study contributes to the existing literature on socially responsible investment.
Spillover effects of customer distress on supplier investment policies
Authors: Rainville Megan 
Published: August 2022

PurposePrevious research found that customer financial distress can spillover to supplier firm decisions. The aim of this paper is to examine the investment decisions of suppliers of financially distressed customers.Design/methodology/approachThe paper uses a US sample of customer-supplier relationships from Compustat Segments between 1980 and 2017. The author uses a linear probability model in the baseline regression analysis. To ensure robustness, a logit regression model and an instrumental variable estimation approach are used, instrumenting for distress at the customer level using a negative shock to customer industry demand.FindingsThis study finds suppliers are more likely to reduce their investment in Capex when a customer is financially distressed. Supplier investment efficiency does not improve when a customer is financially distressed as suppliers with a greater likelihood of under-investment reduce their investment, while suppliers with a greater likelihood of over-investment increase their investment. The effect of customer distress on supplier investment decisions is more pronounced for suppliers of economically distressed customers.Originality/valueThis paper examines how suppliers adjust their investment in response to customer distress, providing an additional channel through which customer distress affects suppliers. Overall, this study finds an important real implication of financial distress in the buyer-supplier relationship.
Identifying the characteristics of excellent peer reviewers by using Publons
Authors: Huang Zhihong , Zong Qianjin 
Published: August 2022

PurposeThis study aimed to identify the characteristics of excellent peer reviewers by using Publons.com (an open and free online peer review website).Design/methodology/approachReviewers of the clinical medicine field on Publons were selected as the sample (n = 1,864). A logistic regression model was employed to examine the data.FindingsThe results revealed that reviewers' verified reviews, verified editor records, and whether they were the Publons mentors had significant and positive associations with excellent peer reviewers, while their research performance (including the number of articles indexed by Web of Science (WOS), citations, H-index and high-cited researcher), genders, words per review, number of current/past editorial boards, whether they had experiences of post-publication review on Publons and whether they were Publons academy graduates had no significant associations with excellent peer reviewers.Originality/valueThis study could help journals find excellent peer reviewers from free and open online platforms.Peer reviewThe peer review history for this article is available at:https://publons.com/publon/10.1108/OIR-11-2021-0604.
A new multiobjective optimization adaptive layering algorithm for 3D printing based on demand-oriented
Authors: Wang Xiaoqi , Cao Jianfu , Cao Ye 
Published: August 2022

Purpose
Adaptive slicing is a key step in 3D printing as it is closely related to the building time and the surface quality. This study aims to develop an adaptive layering algorithm that can coordinate the optimization of printing quality and efficiency to meet different printing needs.

Design/methodology/approach
A multiobjective optimization model is established for printing quality, printing time and layer height based on the variation of surface features, profile slope and curvature of the model. The optimal solution is found by an improved method combining Newton's method and gradient method and adapts to different printing requirements by adjusting the parameter thresholds.

Findings
Several benchmarks are applied to verify this new method. The proposed method has also been compared with the uniform layering method, it reduces the volume error by 46.4% and shortens the printing time by 28.1% and is compared with five existing adaptive layering methods to demonstrate its superior performance.

Originality/value
Compared with other methods with only one layered result, this method is a demand-oriented algorithm that can obtain different results according to different needs and it can reach a trade-off between the building time and the surface quality.
Implications for tourism management of including uncertainty in the estimation of the economic impact of sports events
Authors: Salgado Barandela Jesyca , Barajas Angel , Sanchez-Fernandez Patricio 
Published: August 2022

PurposeStudies that measure the economic impact of events usually disclose deterministic results. This situation implies a methodological problem that compromises the veracity of the estimates. This aspect is particularly relevant in the field of sports tourism. For these reasons, this study aims to empirically analyse the estimate of the initial injection of money from sporting events considering uncertainty, and show its variability.Design/methodology/approachUsing surveys from five sporting events, a database with a total of 2,902 responses is analysed. With these cases as illustration to show the problem, the initial injection of money from the events is estimated. To include the uncertainty derived from the use of data gathered in the surveys, the confidence intervals are obtained using bootstrap.FindingsThe authors find remarkable differences between the current study’s results and deterministic results. In general, except for one of the events studied, the adverse possible scenario of being in the lower limit is higher than the more positive possible scenario. Moreover, in some cases, the lower limit is around one-third of the average or higher. It can imply an important cut in the expected impact. The results obtained allow us to show the differences between deterministic studies and those which include uncertainty.Originality/valueThe work presents prominent implications. Empirically, the inclusion of uncertainty in economic impact studies provides greater reliability to the results, defeating the idea of deterministic estimates. Managerially, working only with deterministic results limits the decision-making capacity of managers, and speculation increases in impact studies.
A scheduling strategy for a new energy highway integrated network with clean green energy synergy
Authors: Ji Li , Zhang Yiwei , Shi Ruifeng , Jia Limin , Zhang Xin 
Published: August 2022

Purpose
Green energy as a transportation supply trend is irreversible. In this paper, a highway energy supply system (HESS) evolution model is proposed to provide highway transportation vehicles and service facilities with a clean electricity supply and form a new model of a source-grid-load-storage-charge synergistic highway-PV-WT integrated system (HPWIS). This paper aims to improve the flexibility index of highways and increase CO2 emission reduction of highways.

Design/methodology/approach
To maximize the integration potential, a new energy-generation, storage and information-integration station is established with a dynamic master–slave game model. The flexibility index is defined to evaluate the system ability to manage random fluctuations in power generation and load levels. Moreover, CO2 emission reduction is also quantified. Finally, the Lianhuo Expressway is taken as an example to calculate emission reduction and flexibility.

Findings
The results show that through the application of the scheduling strategy to the HPWIS, the flexibility index of the Lianhuo Expressway increased by 29.17%, promoting a corresponding decrease in CO2 emissions.

Originality/value
This paper proposed a new model to capture the evolution of the HESS, which provides highway transportation vehicles and service facilities with a clean electricity supply and achieves energy transfer aided by an energy storage system, thus forming a new model of a transportation energy system with source-grid-load-storage-charge synergy. An evaluation method is proposed to improve the air quality index through the coordination of new energy generation and environmental conditions, and dynamic configuration and dispatch are achieved with the master–slave game model.
Hepatitis C virus, insulin resistance, and diabetes: A review
Authors: Alzahrani Nabeel 
Published: August 2022

AbstractHepatitis C virus (HCV) infection and diabetes mellitus (DM) are two chronic diseases that are a cause of significant health and economic burdens worldwide. HCV is associated with the development of insulin resistance (IR) and DM. The mechanisms through which HCV induces IR and DM include direct viral effects, proinflammatory cytokines, and other immune‐mediated processes. Type 1 DM (T1DM) and type 2 DM (T2DM) are both chronic diseases that involve impaired glucose homeostasis, albeit through different mechanisms. T1DM is an autoimmune disease that leads to the destruction of pancreatic beta cells resulting in insulin deficiency. In T2DM, a combination of peripheral IR and irregular production of insulin eventually leads to beta‐cell destruction and insulin insufficiency. Both T1DM and T2DM etiologies involve a combination of genetic and environmental factors. The data on HCV and T1DM association remain limited, unlike T2DM, where a large body of evidence linking HCV to T2DM is available. Here, we intend to outline the current state of knowledge on HCV, IR, and DM.
Effect of radio frequency, ultrasound, microwave‐assisted papain, and alcalase hydrolysis on the structure, antioxidant activity, and peptidomic profile of Rosa roxburghii Tratt. seed protein
Authors: Yin Hao , Jiang Yongli , Zhou Xuefu , Zhong Yu , Wang Danfeng , Deng Yun , Xue Haoyan 
Published: August 2022

AbstractTraditional enzymatic hydrolysis methods have defects such as low efficiency and poor bioactivity in the production of active peptides. In this study, radio frequency (RF) technology was innovatively used to assist the hydrolysis of Rosa roxburghii Tratt. seed protein (RTSP) by papain and alcalase. RF‐assisted hydrolysis was compared with ultrasound‐(US) and microwave (MW)‐assisted techniques in terms of the degree of hydrolysis, structure, antioxidant properties, and changes in the peptidome of the hydrolysates to clarify the mechanism of functional change of physically‐assisted hydrolysate. All three methods improved hydrolysis efficiency. The degree of hydrolysis (DH) of papain group increased from 6.38% to 7.97%, 9.97% and 8.37% after US‐, MW‐ and RF‐assisted hydrolysis, respectively, while the DH of alcalase‐treated group increased from 21.13% to 25.66%, 26.03%, and 23.01%, respectively. The in vitro antioxidant capacity and intracellular antioxidant capacity of RTSP and its hydrolysates were measured and evaluated by fuzzy statistical evaluation, and MW‐assisted alcalase hydrolysis had the highest in vitro and intracellular antioxidant activity scores of 0.713 and 0.820, respectively. Fourier transform infrared and amino acid composition analysis explained the enhanced antioxidant properties of the hydrolysates. Further peptide profiling showed the physical assistance led to an increase in the species and contents of small molecule antioxidant peptides compared to enzyme treatment alone. Pearson's linear correlation analysis showed that AY, LY, IY, PHW, SVL, LHL, YYV, VYY, and NHAV were significantly correlated with the antioxidant properties of hydrolysates. Our data suggested that physical assistance such as US, MW, and RF were effective to improve the efficiency of enzymatic hydrolysis and produce novel antioxidant peptides.Practical ApplicationIn this study, it was found that electromagnetic wave‐assisted enzymatic hydrolysis could improve the efficiency of hydrolysis and enhance the antioxidant activity of hydrolysates compared to unassisted means. Compared with MW treatment, RF has the comparable hydrolysis effect, but has the advantages of high penetration ability, good uniformity, and low energy consumption and has greater potential for the production of bioactive peptides.
A genome–proteome‐based approach for xylan degradation by Cohnella sp. AR92
Authors: Pisa José Horacio , Hero Johan Sebastian , Romero Héctor Gabriel , Martínez María Alejandra 
Published: August 2022

AbstractSeveral members of Cohnella genus have been reported as xylanolytic bacteria with significant capacity as carbohydrate‐active enzyme producers (CAZymes), whose mechanisms involving xylan degradation are a key goal for suitable applications in bio‐based industries. Using Cohnella sp. AR92 bacterium, we ensembled a genomic–proteomic approach to assess plant biomass conversion targeting its xylanolytic set of enzymes. Also, the genomic traits of the strain AR92 were compared to other Cohnella spp., showing a significant variability in terms of genome sizes and content of genes that code CAZymes. The AR92 strain genome harbours 209 CAZymes encoding sequences active on different polysaccharides, particularly directed towards xylans. Concurrent proteomic data recovered from cultures containing three kinds of lignocellulosic‐derived substrates showed a broad set of xylan‐degrading enzymes. The most abundant CAZymes expressed in the different conditions assayed were endo‐β‐1,4‐xylanases belonging to the GH11 and GH10 families, enzymes that were previously proved to be useful in the biotransformation of lignocellulosic biomass derived from sugarcane as well as onto xylan‐enriched substrates. Therefore, considering the large reserve of CAZymes of Cohnella sp. AR92, a xylan processing model for AR92 strain is proposed.
Abnormal resting‐state effective connectivity in reward network among long‐term male smokers
Authors: Zhang Mengzhe , Gao Xinyu , Yang Zhengui , Han Shaoqiang , Zhou Bingqian , Niu Xiaoyu , Wang Weijian , Wei Yarui , Cheng Jingliang , Zhang Yong 
Published: August 2022

AbstractBackgroundTobacco addiction is a chronic, relapsing mental disorder characterized by compulsive tobacco seeking and smoking. Current evidence shows that tobacco addiction exerts their initial reinforcing effects by activating reward circuits in the brain, but the causal connectivity among reward circuits is still unclear. Therefore, it is vital to understand how the reward network works to lead to the compulsive smoking behaviour.MethodWe applied dynamic causal modelling (DCM) to resting‐state functional magnetic resonance (rs‐fMRI) to characterize changes in effective connectivity (EC) among eight major hubs from reward network between 76 long‐term male smokers and 55 nonsmoking volunteers (matched with age, gender and education).ResultsRelative to the healthy controls, long‐term smokers had stronger ECs from the right anterior insula to left ventral striatum, posterior cingulate cortex (PCC) to ventral tegmental area (VTA), PCC to left anterior insula, left anterior insula to VTA, and ventromedial prefrontal cortex (vmPFC) to PCC and weaker ECs from the VTA to left ventral striatum, right anterior insula to right ventral striatum, and anterior cingulate cortex (ACC) to right anterior insula.ConclusionsOverall, our findings revealed disrupted neural causal interactions among parts of the reward network associated with tobacco addiction, expanding the growing evidence for the potential neurobiological mechanisms of tobacco addiction. We found abnormalities within the mesocorticolimbic system and a top‐down regulation disorder in the dopamine‐dependent process of response inhibition and salience attribution among long‐term smokers, which may facilitate the development of effective therapies in tobacco addiction.
Adoption patterns and productivity impacts of agricultural mechanization services
Authors: Lu Qinan , Du Xiaodong , Qiu Huanguang 
Published: August 2022

AbstractAgricultural mechanization services (AMS) have emerged as a viable and effective solution for helping farmers gain access to machinery equipment in developing countries. This study investigates the simultaneous decision‐making regarding multiple mechanization services and the causal impacts of the AMS on land productivity among Chinese smallholders. We find that: (i) The ratio of off‐farm wage to AMS price, or the wage‐rent ratio, has a significant positive effect on AMS adoption; the sequential adoption of AMS starts with power‐intensive followed by control‐intensive production tasks, (ii) Switching to AMS in plowing, transplanting, and harvesting increases rice yield by 48.0 kg, 23.7 kg, and 7.9 kg, respectively, and (iii) The AMS of pesticide spraying significantly decreases yield but the negative effect can be mitigated with professional service providers and effective labor monitoring, highlighting potential moral hazards associated with AMS when monitoring is costly. Simulation illustrates that increased AMS adoption can significantly enhance food security in China.