bluuebunny/crossref_metadata_2025_split huggingface dataset:
Risk culture and employee performance for optimal organizational success: the mediating role of employee satisfaction and employee engagement
Authors: Rahim Abdur , Rosid Md Harun Or , Hasan Najmul 
Published: July 2024

Purpose
This paper aims to investigate the impact of risk culture on employee performance by exploring the mediating roles of employee satisfaction and employee engagement in the relationship between risk culture and employee performance.

Design/methodology/approach
The study employed partial least squares-based structural equation modeling (PLS-SEM) to assess both the direct effects and mediation effects, using a sample of 311 employees from the banking and insurance sectors. In contrast to PLS-SEM, a fuzzy set qualitative comparative analysis (fsQCA) technique was also applied to discern the causal configurations that lead to improved employee performance.

Findings
The findings revealed a significant direct effect of risk culture on employee performance, employee satisfaction and employee engagement. The findings also revealed that employee satisfaction significantly mediated the relationship between risk culture and employee performance, whereas the mediating role of employee engagement is partially significant. The fsQCA findings illustrated that a diverse combination of risk culture dimensions, employee satisfaction and employee engagement can result in enhanced employee performance.

Practical implications
This study provides important implications for the banking and insurance industries, suggesting that organizations should prioritize the development of a strong risk culture to improve employee-related outcomes such as performance, satisfaction and engagement, which are key factors for achieving optimal organizational success.

Originality/value
The paper specifically highlights the importance of integrating risk culture into human resource management, providing valuable insights for organizations seeking to enhance their risk management practices and culture.
Ways to improve the quality of local rice in Africa: comparison between physicochemical and sensory properties of rice consumed in Senegal
Authors: Mane Ibrahima , Bassama Joseph , Diedhiou Papa Madiallacke , Mestres Christian 
Published: July 2024

Purpose
Rice is the main cereal in Senegal. Despite efforts to improve the sector, consumers still prefer imported rice. Only one previous study conducted by the authors analyzed these preferences using a sensory analysis approach (Mané et al., 2021). This initial study showed that local rice can compete with imported rice if processing is improved. Based on these results, this study aims to identify the physicochemical parameters responsible for the sensory quality identified in Senegalese consumers.

Design/methodology/approach
In this context, the physicochemical and cooking properties of 12 rice samples were analyzed and the correlations between these physicochemical and sensory properties were studied.

Findings
The results showed that imported rice had a higher 1000-kernel weight, grain length and transparency values, whereas local rice had higher water uptake, swelling ratios, gelatinization temperature and iron and magnesium contents. Correlations have shown that positive descriptors such as “beautiful,” “white color,” “good taste,” “fragrant,” “fine grains,” “typical rice odor,” well-cooked” and “scattered” were correlated with varietal and technological criteria such as high 1000-grain weight, grain length, whiteness, transparency and absence of impurities in rice. In contrast, negative sensory descriptors such as “pasty” and “sticky texture” were associated with water uptake ratio, gelatinization temperature, rice breakage and cooking time.

Originality/value
These results show how to improve the quality of new rice varieties in the country based on the physicochemical parameters associated with the positive sensory properties cited above by consumers.
Phytochemical, antioxidant, lipid peroxidation inhibition and sensory properties of roasted coffee mixed with various quantities of pomposia fruit (Syzygium cumini L.) powder
Authors: Alshammai Asiyah S.D.A. , Ali Rehab F.M. , Alhomaid Raghad M. 
Published: July 2024

Purpose
This study aims to find out how pomposia fruit powder (Syzygium cumini L.) mixed with roasted coffee (RCO) affected antioxidants, phytochemicals, lipid peroxidation inhibition and sensory attributes.

Design/methodology/approach
Pomposia fruits (Syzygium cumini L.) powder (PFP) was integrated with RCO at levels of 0.0%, 5.0%, 10.0%, 15.0% and 20.0%. RCO, PFP and binary mixtures containing RCO: PFP were evaluated for their total phenolics (TP), total flavonoids (TF), anthocyanin content (AC), antioxidant activity and phenolic compounds fractionation. The oxidative indices of coffee oil samples were measured throughout different storage intervals. Additionally, sensory characteristics of RCO enriched with different PFP doses were evaluated.

Findings
PFP samples exhibited the greatest TP content (1910 mg/100 g), whereas RCO samples had the lowest concentration (1090 mg/100 g). As more PFP was added, the corresponding coffee blends’ concentrations of TP, TF and AC were improved significantly. PFP possesses a radical-scavenging activity that is about 1.20 times more than RCO’s. DPPH (2,2-diphenyl-1-picrylhydrazyl) radical-scavenging activity jumped significantly from 74.13% in control (untreated) samples to 77.64%, 78.39% and 80.15% for samples enriched with 10.0%, 15.0% and 20% PFP, respectively. Significant increases in gallic acid, hesperidine, benzoic acid, chlorogenic acid, hispertin, catechol, quercetin, pyrogallol and rutin were detected when RCO was mixed with different quantities of PFP. At the end of storage trial, the coffee oil treated with 20% PFP had AV, PV and TBA values that were about 1.70, 1.95 and 1.66 times lower, respectively, than those of the control sample that had not had PFP addition. The RCO with 5.0% PFP achieved the greatest over acceptability grades.

Originality/value
To the best of the authors’ knowledge, this study was the first study to evaluate the effect of incorporating various level of pomposia fruit powder into RCO. The findings shows that adding different concentrations of pomposia fruit powder into RCO can indeed enhance the radical-scavenging activity of the coffee and potentially extend its shelf life.
Unveiling the effects of innovation awards on organizational innovations: comparison of bottom-up and top-down innovations
Authors: Choi Yoonhee , Washburn Mark , Hwang Seog Joo , Van de Ven Andrew 
Published: July 2024

Purpose
This paper aims to explore the effects of innovation awards on subsequent innovation behaviors in organizations. Specifically, the authors investigate whether winning an external innovation award helps diffuse the award-winning innovations and develop additional innovation projects in the organization. Furthermore, the authors study the contextual influence of innovators’ organizational hierarchy on experiencing and using the winning consequence.

Design/methodology/approach
The authors collected survey data from clinics and hospitals that participated in a state-level innovation award program sponsored by a large health-care insurer and provider in Midwestern states. The authors tested the hypotheses using ordinary least squares regressions and supplemented the method with a post hoc analysis using Fisher’s least significant difference test.

Findings
The authors find that awards help a “bottom-up” innovation (i.e., an innovation initiated by a lower-level employee) disseminate at a larger scale due to award-bestowed legitimacy and reputation, whereas a “top-down” innovation (i.e., an innovation initiated by a top manager) does not experience the same benefit. On the other hand, the organizations that won the innovation award with a “top-down” innovation showed a higher number of additional innovation projects after winning, as manager–innovators experienced a boost in their confidence to engage in further innovation projects.

Originality/value
This paper offers a unique and nuanced examination of how innovation awards influence organizational innovation. By bridging literatures on awards and innovation, the authors propose the mechanisms through which innovation awards confer legitimacy and reputation upon the award winners and their innovations. Furthermore, the authors add insights into the recent academic interests in employee-driven innovation by showing the different benefits of innovation awards depending on the innovators’ organizational hierarchies.
Navigating the gig economy in Romania: unveiling perceptions of working on on-demand platforms
Authors: Daba-Buzoianu Corina , Ignat Maria Ramona , Ghețu Andrei-Octavian , Bîră Monica 
Published: July 2024

Purpose
This paper aims to explore the realm of gig work and the gig economy in Romania in an attempt to shed light on the mechanisms of this type of work and the reasons and benefits of engaging in gig-related activities.Considering the low conceptual consensus on gig work, the authors aim to explore how participants in this study define and refer to gig work, thus helping to contribute to the current conceptualization and characterizations of gig work and the gig economy. Among the wide range of services encountered within the gig economy, this research focuses on three categories of tasks, as defined within COLLEEM 2018 questionnaire (see Pesole et al., 2018), namely, online creative and multimedia work, online sales and marketing support and online software development and technology work.

Design/methodology/approach
Based on semistructured interviews with people working in the gig economy in Romania, the authors look to understand the meaning given to gig work and its features. The authors tackle how participants in this study perceive themselves and their work. The authors also look into perceived similarities and differences with other types of independent work.

Findings
In this paper, findings are organized into two main sections. The first section showcases perceptions about working in the gig economy, including how people involved with this type of work are describing them and their activity and exploring financial insecurities in connection with the independent/gig work. The second section highlights the mechanisms of gig work on digital labor platforms, developing means and ways of reputation-building and their impact on financial earnings.

Originality/value
This research aims to contribute to a better understanding of the environment and needs of gig workers. Although gig economy and online work are widely covered by field literature, knowledge about the experiences and perceptions of gig workers in emerging markets has more to gain by exploring European Union developing markets.
Enhanced plant litter impacts nematode communities and carbon use efficiency in a mixed forest
Authors: Zhang Zhiyong , Miao Renhui , Rasmann Sergio 
Published: July 2024

Abstract

Rising temperatures and higher atmospheric CO2 levels can potentially increase plant photosynthesis and boost forest productivity, thereby spurring litter inputs to soils on a global scale. Understanding the feedback loops between increased litter inputs and soil biota activity will allow for better prediction of organic matter and carbon (C) cycling in terrestrial ecosystems.

Nematodes represent the full spectrum of trophic groups within the soil biota. Accordingly, we studied the link between nematode metabolic activities and plant litter input. For this, different litter input levels were manipulated in a temperate forest, including control zones without litter, natural litter input zones and zones with double, triple and quadruple amounts of natural litter input. Soil top layers (0–10 cm) were then collected to study the responses of nematode communities.

Increased litter input positively influenced the abundance and diversity of nematodes, except for plant‐parasitic species. Higher litter input levels led to an enhancement in the ratio of bacterivores to the total of bacterivores and fungivores. More litter increased the K/r strategist ratio among bacterivores and the corresponding nematode metabolic footprints. More litter also stimulated nematode production and respiration components and improved the carbon use efficiency of bacterivores. Moreover, structural equation modelling revealed the crucial role of bacterivores in influencing soil organic C under increased litter input.

In conclusion, our study shows that increased plant above‐ground litter input modifies the taxonomic and functional communities of soil nematodes, ultimately regulating carbon cycling in forest soils.

Read the free Plain Language Summary for this article on the Journal blog.
Movement‐driven modelling reveals new patterns in disease transmission networks
Authors: Herraiz Cesar , Triguero‐Ocaña Roxana , Laguna Eduardo , Jiménez‐Ruiz Saúl , Peralbo‐Moreno Alfonso , Martínez‐López Beatriz , García‐Bocanegra Ignacio , Risalde María Ángeles , Vicente Joaquín , Acevedo Pelayo 
Published: July 2024

Abstract

Interspecific interactions are highly relevant in the potential transmission of shared pathogens in multi‐host systems. In recent decades, several technologies have been developed to study pathogen transmission, such as proximity loggers, GPS tracking devices and/or camera traps. Despite the diversity of methods aimed at detecting contacts, the analysis of transmission risk is often reduced to contact rates and the probability of transmission given the contact. However, the latter process is continuous over time and unique for each contact, and is influenced by the characteristics of the contact and the pathogen's relationship with both the host and the environment.

Our objective was to assess whether a more comprehensive approach, using a movement‐based model which assigns a unique transmission risk to each contact by decomposing transmission into contact formation, contact duration and host characteristics, could reveal disease transmission dynamics that are not detected with more traditional approaches.

The model was built from GPS‐collar data from two management systems in Spain where animal tuberculosis (TB) circulates: a national park with extensively reared endemic cattle, and an area with extensive free‐range pigs and cattle farms. In addition, we evaluated the effect of the GPS device fix rate on the performance of the model.

Different transmission dynamics were identified between both management systems. Considering the specific conditions under which each contact occurs (i.e. whether the contact is direct or indirect, its duration, the hosts characteristics, the environmental conditions, etc.) resulted in the identification of different transmission dynamics compared to using only contact rates. We found that fix intervals greater than 30 min in the GPS tracking data resulted in missed interactions, and intervals greater than 2 h may be insufficient for epidemiological purposes.

Our study shows that neglecting the conditions under which each contact occurs may result in a misidentification of the real role of each species in disease transmission. This study describes a clear and repeatable framework to study pathogen transmission from GPS data and provides further insights to understand how TB is maintained in multi‐host systems in Mediterranean environments.
Using machine learning to link climate, phylogeny and leaf area in eucalypts through a 50‐fold expansion of leaf trait datasets
Authors: Guo Karina , Cornwell William K. , Bragg Jason G. 
Published: July 2024

Abstract

Leaf area varies within and between species, and previous work has linked this variation to environment and evolutionary history. However, many previous studies fail to examine both these factors and often are data‐limited.

To address this, our study developed a new workflow using machine learning to automate the extraction of leaf area from herbarium collections of Australian eucalypts (Eucalyptus, Angophora and Corymbia). This dataset included 136,599 measurements, expanding existing data on this taxon's leaf area by roughly 50‐fold. Our methods were validated using field standard metrics of accuracy, and comparisons to manual measurements both from the present study and existing datasets.

With this dataset for the eucalypt clade, we observed positive relationships between leaf area and mean annual temperature and precipitation similar to those reported for the global flora. However, these relationships were not consistently observed within species, potentially due to gene flow suppressing local adaptation. When we examined these relationships at different phylogenetic levels, the slope of trait–climate associations within lineages converged towards the overall eucalypt slope at shallow phylogenetic scales (5–12 MY), suggesting that effects of gene flow relax just above the species level.

The strengthening of trait–climate correlations at evolutionary scales just beyond the intraspecific level may represent a widespread phenomenon across various traits and taxa. Future studies can unveil these relationships with the larger sample sizes of new trait datasets generated through machine learning.

Synthesis. Using machine learning, researchers are able to confirm current positive global relationships between leaf area and mean annual temperature and precipitation. Additionally, they were able to take this a step further and examine how it changes across time. Here they saw that at roughly 5–12 million years ago in the phylogenetic tree, the trait–climate slope begins to show significantly less variation. Overall, the study shows the potential of machine learning in ecology, with exciting new potential findings with its use.
Reassessment of EUS features in preoperative diagnosis of pancreatic serous cystic neoplasm: Lessons to avoid misdiagnosis
Authors: Zhang Xiao Lan , Chen Ke , He Yi Ping , Yang Xiu Jiang , Liu Jian Qiang 
Published: July 2024

ObjectivesPancreatic serous cystic neoplasm (SCN) is a benign cystic neoplasm that is likely to be surgically resected due to preoperative misdiagnosis or tentative diagnosis even using endoscopic ultrasonography (EUS). We aimed to analyze EUS findings of SCN associated with misdiagnosis.MethodsBetween January 2012 and September 2023, histologically confirmed pancreatic SCN were included and EUS features were reviewed.ResultsOverall, 294 patients with 300 surgically resected SCNs were included. The median age of the patients was 51 years and 75.9% were females. The lesions were predominantly located in the body/neck/tail of the pancreas (63.0%). The overall preoperative diagnostic rate of SCN was 36.3%, with the most common misdiagnosis being intraductal papillary mucinous neoplasm (IPMN) (31.3%), while 16.3% remained undefined. The preoperative diagnostic rate of SCN varied across different endosonographic morphologies, with oligocystic, macrocystic, microcystic, and solid patterns yielding rates of 12.8%, 37.9%, 76.5%, and 19.2%, respectively. Notably, the presence of central scar and vascularity improved the diagnostic accuracy and correctly identified 41.4% and 52.3% of the lesions. While mucus or pancreatic duct (PD) communication significantly increased the likelihood of misdiagnosis, particularly as IPMN. Multivariate analysis revealed a morphological pattern, mucin‐producing signs, wall thickening, vascularity, and PD communication were independent factors related to preoperative misdiagnosis, with an overall accuracy of 82.3%.ConclusionsPreoperative diagnosis of SCN remains challenging. The microcystic pattern emerged as a reliable feature, while mucin‐producing signs, including mural nodules, mucus, and PD communication, pose diagnostic pitfalls despite the presence of typical central scar or vascularity commonly in SCN.
Inter hospital transfers in rotor wing aircraft. Patterns and challenges. Protocol for a scoping review
Authors: Hansen Peter Martin , Rudolph Søren Steemann , Barfod Charlotte , Hansen Troels Martin , Knudsen Jens Stubager , Fedog Trond Nuland , Krog Jan 
Published: July 2024

AbstractBackgroundInter‐hospital transfer is necessary for the transport of patients to specialized treatment. Rotor‐wing aircraft may be used in lieu of ambulances in time‐critical conditions over long distances and when specialist team skills are called for. The purpose of the review is to assess the current scientific literature that describes the scenario to develop a national guideline for inter‐hospital transfers using rotor‐wing aircraft. The aim is to describe the patterns and challenges.Methods and AnalysisThe authors will conduct a scoping review as per Joanna Briggs Institute guideline. The protocol for the scoping review will adhere to the Open Science Framework guideline for scoping reviews and we will report the findings of the scoping review as per PRISMA‐ScR guideline. We have developed the search strategy with the help of a research librarian and will conduct search in relevant electronic databases and include gray literature as well, using the PRESS and PRISMA‐S guidelines. Two authors will independently screen titles and abstracts for inclusion as per eligibility criteria and conflicts will be resolved by a third reviewer. Full text retrieval will be conducted accordingly. We will analyze the extracted data using validated statistical methods.Ethics and DisseminationAccording to Danish law, scoping reviews are exempt from ethics committee approval. The findings of this scoping review will provide the scientific foundation for a national guideline on rotor‐wing aircraft conveyed inter‐hospital transfers in Denmark. Furthermore, we will publish the results of the scoping review in a relevant scientific journal.
Effect of serial night shifts on the cognitive, psychomotor, and moral performance of residents in the department of Emergency Medicine
Authors: Mohammed Muthanikkatt Anas , Nathan Balamurugan , S Manu Ayyan , Murali Sharan , Krishna Navaneeth S. , Raghavan Bitty , Ganessane Ezhilkugan , Maroju Nanda Kishore 
Published: July 2024

AbstractObjectivesThe objective was to study the effect of serial night shifts on the cognitive, psychomotor, and moral performance of emergency medicine residents of an academic Emergency Medicine Department.MethodsThis prospective case‐crossover study compared emergency medicine residents' sleep time, subjective sleepiness, cognitive function, moral judgment, and psychomotor skills after 5 consecutive days versus night shifts using sleep diaries, activity monitors, and multiple performance tests. Paired t‐tests and Wilcoxon signed‐rank tests were used to analyze data based on normality. Correlation analysis was done using Spearman's correlation test. Subgroup analysis was also performed to find any difference based on gender and year of residency.ResultsTwenty‐seven emergency medicine residents participated (13 males, 48.1%). The distribution across residency years was as follows: 44.4% in their first year, 25.9% in their second year, and 29.6% in their third year. Following five consecutive night shifts, total sleep duration decreased significantly from 338.1 ± 67.8 to 307.4 ± 71.0 min (p < 0.001), while subjective sleepiness scores increased from 9.6 ± 3.3 to 13.6 ± 4.6. Psychomotor performance and reaction times did not significantly differ between night and day shifts. However, working memory declined, assessed by self‐paced three‐back test scores (median [IQR] 517.1 [471.9–546.7] vs. 457.6 [334.4–508.8]; p = 0.034) and interference test scores (445.5 ± 59.9 vs. 407.2 ± 56.8; p < 0.001), along with moral judgment (median [IQR] 19 [18–28] vs. 15 [11–21]; p = 0.010) after serial night shifts. No correlations existed between performance measures nor differences based on gender or residency year.ConclusionsResidents sleep less following night versus day shifts, reporting the highest sleepiness levels after 5 consecutive nights. Despite this, psychomotor performance and reaction times did not significantly differ. However, considerable reductions occurred in moral judgment, working memory, and interference test performance after serial night shifts.