bluuebunny/crossref_metadata_2025_split huggingface dataset:
The influence of military virtues on job performance in the Sri Lanka Air Force: direct or mediated effects?
Authors: Iddagoda Anuradha , Abraham Rebecca , Keppetipola Manoaj , Dissanayake Hiranya 
Published: March 2024

PurposeMilitary values/virtues are a subset of ethical values. The purpose of this study is to examine the effect of military virtues on job performance, either directly, or indirectly through mediation by, loyalty, patience, respect, employee engagement, job performance, military ethics, courage, self-discipline, caring, military virtue, Sri Lanka Air Force (SLAF) employee engagement.Design/methodology/approachMilitary virtues were conceptualized as a collective construct, consisting of loyalty, courage, patience, respect, self-discipline and caring. Using a sample of 254 military officers in the SLAF, the authors measured the effect of military virtues on job performance. The first model was a direct measurement of the influence of military virtues on job performance. The second model measured the influence of military virtues on employee engagement, followed by measurement of the influence of employee engagement on job performance. Structural equation modeling was used in data analysis.FindingsBoth direct effects and mediated effects of military virtues on job performance were significant. However, the direct effect was stronger, suggesting that military virtues in and of themselves resulted in superior performance, more effectively, than by first increasing employee engagement with the task or the organization.Originality/valueThis may be an initial empirical examination of the effects of military virtues on job performance.
The effects of quality management on the development of organisational exploration: an empirical research on the organic agro-food industry
Authors: Caypa-Altare Aldo Giovanni , Moreno-Luzon Maria D. 
Published: March 2024

PurposeThe purpose of this paper is to analyse the role of quality management on the development of organisational exploration.Design/methodology/approachPartial Least Square was used on a sample of 350 companies within the Spanish organic agro-food industry.FindingsThe study results provide empirical evidence of the positive and significant impact that quality management has on the development of organisational exploration.Research limitations/implicationsCausal relationships cannot be applied to this study due to cross-sectional data being used rather than longitudinal data.Practical implicationsQuality management must be considered by managers an essential tool to the development of organisational exploration. As a systematic approach, that moves towards to the development of policies, attitudes and behaviours which foster and boots the development of organisational exploration.Originality/valueQuality management is a widely used management approach, which organisations use to improve the quality of their products, services and their overall performance. Organisational exploration is seen as a fundamental tool to ensure sustainability, profitability and the future survival of organisations; however, there is disagreement throughout previous research. Some authors point out the importance of quality management in developing activities that promote organisational exploration, whereas other authors see quality management as an inhibitor. Given the great controversy in previous research, our study clarifies the role of quality management in the development of organisational exploration.
Understanding the relationship between competitive strategy and product-service innovation: the role of the paradox of openness
Authors: Cordeiro de Sousa Gonçalo 
Published: March 2024

PurposeThis study aims to investigate the relationship between strategy intent (product-service innovation intention) and outcome (product-service innovation outcome), and the role that external sources of innovation play in influencing this relationship.Design/methodology/approachUsing data obtained from the community innovation survey, we apply a logit regression to a sample of 1,419 Portuguese firms. By examining the moderating effect of open innovation breadth, we assess how the relationship between differentiation intent and outcome is contingent upon the involvement of external stakeholders.FindingsOur findings reveal that the relationship between differentiation intent and outcome is contingent upon the moderating effect of open innovation breadth. Our analysis suggests that the negative influence of different sources of innovation can be addressed by adopting a paradox lens.Practical implicationsThis research provides valuable insights for managers. By simultaneously pursuing a differentiation strategy and engaging in collaboration with external sources, firms may compromise their ability to effectively differentiate their offer. Managers should consider the potential tensions arising from internal and external stakeholder relationships to optimize their innovation strategies.Originality/valueThis study contributes to the existing literature by shedding light on the role of external innovation sources in influencing the relationship between differentiation intent and outcome and the importance that information systems may have in this relationship. By exploring the moderating effect of open innovation breadth, we provide a nuanced understanding of how firms can navigate organizational tensions and leverage innovation for competitive advantage.
How to respond to negative online reviews: language style matters
Authors: Zhang Shu , Su Lixun , Zhuang Weiling , Babin Barry J. 
Published: March 2024

PurposeGiven resource constraints such as time and staffing, hotels cannot respond to all negative online reviews (NORs). Therefore, this study investigates (1) what types of NORs hotels should prioritize responding; and (2) what response strategies are more effective in handling different types of NORs to minimize the negative ramifications.Design/methodology/approachFour experiments in the context of hospitability were used to test the hypotheses.FindingsOur findings show that NORs with implicit conclusions (e.g. “I do not believe that is a good choice, you know what I mean.”) are more dissuasive than NORs with explicit ones (e.g. “Do not buy it.”) because the former NORs are perceived as more objective than the latter NORs. More importantly, our results show that firms do not need to respond to explicit NORs. When responding to implicit NORs, firms should prioritize those related to service failures caused by external (e.g. weather, technological misfunction) rather than internal (e.g. poor management, employee skills) factors.Research limitations/implicationsOur studies focus on the language styles of Chinese NORs, and future research should investigate how language styles influence dissuasion in other languages.Practical implicationsOur results show that NORs with implicit conclusions negatively impact consumer attitude and thus hurt performance more significantly than those with explicit conclusions. Therefore, firms should allocate limited staffing and resources to NORs with implicit conclusions. When responding to implicit NORs, firms should select NORs that can be attributed to external factors.Originality/valueOur findings shed light on the importance of the language styles of NORs and provide marketers with insights into how to handle NORs. Our results reveal that consumers perceive higher objectivity of NORs when these reviews are implicit than when they are explicit. Furthermore, this study contributes to the online review literature by suggesting that firms should tailor their response strategies for NORs based on the reviewers’ language styles.
Improving damping characteristics of epoxy by adding copper alloy wastes
Authors: Ahmed Payman Sahbah , Mohammed Ava A.K. , Rozhbiany Fakhir Aziz Rasul 
Published: March 2024

Purpose
The purpose of this study is to get benefits from manufacturing harmful wastes is by using them as a reinforcement with epoxy matrix composite materials to improve the damping characteristics in applications such as machine bases, rockets, satellites, missiles, navigation equipment and aircraft as large structures, and electronics as such small structures. Vibration causes damaging strains in these components.

Design/methodology/approach
By adding machining chips with weight percentages of 5, 10, 15 and 20 Wt.%, with three different chip lengths added for each percentage (0.6, 0.8 and 1.18 mm), the three-point bending and damping characteristics tests are utilized to examine how manufacturing waste impacts the mechanical properties. Following that, the optimal lengths and the chip-to-epoxy ratio are determined. The chip dispersion and homogeneity are assessed using a field emission scanning electron microscope.

Findings
Waste copper alloys can be used to enhance the vibration-dampening properties of epoxy resin. The interface and bonding between the resin and the chip are crucial for enhancing the damping capabilities of epoxy. Controlling the flexural modulus by altering the chip size and quantity can change the damping characteristics because the two variables are inversely related. The critical chip size is 0.8 mm, below which smaller chips cannot evenly transfer, and disperse the vibration force to the epoxy matrix and larger chips may shatter and fracture.

Originality/value
The main source of problems in machine tools, aircraft and vehicle manufacturing is vibrations generated in the structures. These components suffer harmful strains due to vibration. Damping can be added to these structures to get over these problems. The distribution of energy stored as a result of oscillatory mobility is known as damping. To optimize the serving lifetime of a dynamic suit, this is one of the most important design elements. The use of composites in construction is a modern method of improving a structure's damping capacity. Additionally, it has been demonstrated that composites offer better stiffness, strength, fatigue resistance and corrosion resistance. This research aims to reduce the vibration effect by using copper alloy wastes as dampers.
Deep‐salt: Complete three‐dimensional salt segmentation from inaccurate migrated subsurface offset gathers using deep learning
Authors: Muller Ana P. O. , Fraga Bernardo , Klatt Matheus , Costa Jessé C. , Bom Clecio R. , Faria Elisangela L. , de Albuquerque Marcelo P. , de Albuquerque Marcio P. 
Published: March 2024

AbstractDelimiting salt inclusions from migrated images during the velocity model building flow is a time‐consuming activity that depends on highly human‐curated analysis and is subject to interpretation errors or limitations of the images and methods available. We propose a supervised deep learning based method to include three‐dimensional salt geometries in the velocity models. We compare two convolutional networks – based on the U‐Net architecture – which can process three‐dimensional seismic data. One architecture uses three‐dimensional convolutional kernels, and the other has convolutional long short‐term memory units. Each architecture requires specific preprocessing steps which affects their training and predictive performance. Both proposed architectures use subsurface offset gathers obtained from reverse time migration with an extended imaging condition as input and are trained to predict the salt inclusions. The velocity model used in migration is a reasonable approximation of sediment velocity but without salt inclusions. Thus, the migration model and, consequently, the migrated images are inaccurate due to the absence of the salt inclusion in the model using just the sediment velocity information for the segmentation. A similar salt inclusion methodology was previously validated for two‐dimensional approaches; we extend it to the three‐dimensional case. Our approach relies on subsurface common image gathers to focus the sediments' reflections around the zero offset and spread salt reflections' energy over large subsurface offsets. The results show that both proposed network models can accurately delineate the salt bodies in the test models, but when evaluating the trained networks for the three‐dimensional SEG/EAGE salt model, the architecture with convolutional long short‐term memory units has proven to generalize better.
A single Prochlorococcus ecotype dominates the tropical Bay of Bengal with ultradian growth
Authors: Grone Jonathan , Poirier Camille , Abbott Kathleen , Wittmers Fabian , Jaeger Gualtiero Spiro , Mahadevan Amala , Worden Alexandra Z. 
Published: March 2024

AbstractThe Bay of Bengal (BoB) spans >2.2 million km2 in the northeastern Indian Ocean and is bordered by dense populations that depend upon its resources. Over recent decades, a shift from larger phytoplankton to picoplankton has been reported, yet the abundance, activity, and composition of primary producer communities are not well‐characterized. We analysed the BoB regions during the summer monsoon. Prochlorococcus ranged up to 3.14 × 105 cells mL−1 in the surface mixed layer, averaging 1.74 ± 0.46 × 105 in the upper 10 m and consistently higher than Synechococcus and eukaryotic phytoplankton. V1‐V2 rRNA gene amplicon analyses showed the High Light II (HLII) ecotype formed 98 ± 1% of Prochlorococcus amplicons in surface waters, comprising six oligotypes, with the dominant oligotype accounting for 65 ± 4% of HLII. Diel sampling of a coherent water mass demonstrated evening onset of cell division and rapid Prochlorococcus growth between 1.5 and 3.1 div day−1, based on cell cycle analysis, as confirmed by abundance‐based estimates of 2.1 div day−1. Accumulation of Prochlorococcus produced by ultradian growth was restricted by high loss rates. Alongside prior Arabian Sea and tropical Atlantic rates, our results indicate Prochlorococcus growth rates should be reevaluated with greater attention to latitudinal zones and influences on contributions to global primary production.
Designing healthier and more sustainable ultraprocessed foods
Authors: McClements David Julian 
Published: March 2024

AbstractThe food industry has been extremely successful in creating a broad range of delicious, affordable, convenient, and safe food and beverage products. However, many of these products are considered to be ultraprocessed foods (UPFs) that contain ingredients and are processed in a manner that may cause adverse health effects. This review article introduces the concept of UPFs and briefly discusses food products that fall into this category, including beverages, baked goods, snacks, confectionary, prepared meals, dressings, sauces, spreads, and processed meat and meat analogs. It then discusses correlations between consumption levels of UPFs and diet‐related chronic diseases, such as obesity and diabetes. The different reasons for the proposed ability of UPFs to increase the risk of these chronic diseases are then critically assessed, including displacement of whole foods, high energy densities, missing phytochemicals, contamination with packaging chemicals, hyperpalatability, harmful additives, rapid ingestion and digestion, and toxic reaction products. Then, potential strategies to overcome the current problems with UPFs are presented, including reducing energy density, balancing nutritional profile, fortification, increasing satiety response, modulating mastication and digestion, reengineering food structure, and precision processing. The central argument is that it may be possible to reformulate and reengineer many UPFs to improve their healthiness and sustainability, although this still needs to be proved using rigorous scientific studies.
Climate Change Mitigation in Agriculture beyond 2030: Options for Carbon Pricing and Carbon Border Adjustment Mechanisms
Authors: Spiegel Alisa , Heidecke Claudia , Fournier Gabela Julio G. , Stepanyan Davit , Söder Mareike , Freund Florian , Gocht Alexander , Banse Martin , Osterburg Bernhard 
Published: March 2024

SummaryIn the EU's climate policy, agriculture is covered as an Effort‐Sharing (ESR) sector, i.e. a sector beyond the Emission Trading System and LULUCF. Despite ambitious climate targets for the ESR sectors and an emerging focus on the need for agriculture to make a substantial contribution to climate change mitigation, agriculture has contributed much less to achieving climate targets than other ESR sectors in most EU Member States. A more radical mitigation instrument is required since the potential to increase climate efficiency in EU agriculture is limited. Carbon pricing is considered an effective instrument and is widely adopted in other sectors worldwide. Options on how to reduce related carbon leakage are discussed. Our recommendations for efficient climate change mitigation policy in agriculture are threefold. First, the agricultural sector needs more precise guidance and clear climate targets. Second, although preventing all conflicts between climate change mitigation actions and other policy goals is impossible and inefficient, a policy could minimise adverse effects. Third, since agricultural GHG emissions can only be minimised and compensated by negative emissions in other sectors, well‐defined intersectoral coordination is required.
The association between genetic polymorphisms of matrix metalloproteinases and knee osteoarthritis: A systematic review and meta‐analysis
Authors: Jiang Xu , Wang Qianqian , Wang Chao , Zhang Yanzhuo , Wei Zhenjie , Wu Zhimin , Yu Shunan , Wu Chengai 
Published: March 2024

AbstractAimTo investigate the linkage of matrix metalloproteinase (MMP) gene polymorphisms with the pathogenesis of knee osteoarthritis (OA).MethodsThis meta‐analysis study systematically retrieved relevant studies from PubMed, Embase, the Cochrane Central, Wanfang Data, CNKI, and SinoMed up to November 2020. Odds ratios (ORs) and 95% confidence intervals (CIs) were used to estimate the association between MMP gene polymorphisms and OA.ResultsA total of nine case–control studies comprising 1719 knee OA patients and 1904 controls were included in this meta‐analysis. The results revealed that MMP‐1‐1607 (rs1799750) 1G/2G polymorphism was not significantly associated with knee OA risk in four genetic models (OR (95% CI): allele model: 0.89 (0.57, 1.40), p = .615); dominant mode: 0.82 (0.47, 1.44), p = .486; recessive model: 0.88 (0.49, 1.57), p = .659; homozygote model: 0.79 (0.34, 1.82), p = .576. The association was significant for dominant model of MMP‐3 C/T: 1.54 (1.10–2.15), p = .013, especially in Asian ethnicity (1.63 (1.11, 2.39), p = .013). Variants of MMP‐13 C/T polymorphism were associated with increased risk of knee OA development based on dominant model: 1.56 (1.19, 2.06), p = .001 and homozygote model: 2.12 (1.44, 3.13), p < .001, and there were significant associations between MMP‐13 C/T polymorphism and knee OA risk in Asian ethnicity under different genetic models (all p > .05).ConclusionsPresent evidence suggested that the gene polymorphisms of MMP‐1‐1607 1G/2G may not be associated with the risk of OA. But, the dominant model of MMP‐3 and MMP‐13 polymorphisms in Asian ethnicity was significantly correlated with knee OA.
Risk analysis of Spanish companies
Authors: Rodríguez‐Sanz Juan Antonio , Vallelado Eleuterio , Fernández‐Martín Miguel 
Published: March 2024

AbstractThis paper aims to investigate the determinants of different types of market risk faced by Spanish firms from 2012 to 2019. Using Fama and French's (Journal of Financial Economics, 1993, 33, 3) three‐factor model, we estimate total risk, diversifiable risk, and systematic or non‐diversifiable risk in the three dimensions proposed by these authors: market risk, size risk, and valuation risk. Risk determinants are derived from a series of economic and financial variables obtained from the information contained in financial statements. This information is summarised using a factor analysis that aims to resolve the correlation issues between the proposed measures. The study demonstrates that the systematic risk factors proposed by Fama and French in their 1993 three‐factor model incorporate dimensions of systematic risk that are relevant to investors and that the set of economic and financial variables proposed can explain these risks. Among these variables, profitability and the market to book ratio have the greatest impact in explaining company risk, while factors such as operating and financial leverage, growth, or company insolvency have a much smaller effect as explanatory factors for risk.
Mapping research on corporate misconduct in banking: Lessons from literature on preventive and punitive actions
Authors: Rodríguez‐Arrojo Rita , Luna Manuel , Vázquez‐Ordás Camilo J. , García‐Olalla Myriam 
Published: March 2024

AbstractAdvanced societies are increasingly concerned about corporate misconduct. Citizens are more willing to penalize it, and regulators are punishing companies more significantly than ever before. In particular, while reputation is a key asset for any business, corporate conduct has proven to be especially relevant in the banking industry. The present paper explores the main research efforts carried out on this topic, aiming to learn lessons from a comparison of studies focused on preventive and punitive actions. To accomplish this, we selected relevant corporate misconduct papers from the Web of Science, conducted a comprehensive bibliometric analysis to understand the role of banking industry‐oriented research, and finally, performed a systematic review to distinguish between articles addressing impact measurement and those focusing on prevention. The results allowed us to respond to the unanswered questions regarding the particularities of the banking industry that make it require further and independent analysis and to the debate about whether the current regulation led to certain unwanted effects. Among those many lessons, one is strikingly important as most studies coincide in the conclusion that, instead of the current actions, more effort should be put into efficient prevention methods, such as education for more ethical corporate and individual behavior.
Effects of food resources on the longevity, survival, and fecundity of Paracentrobia subflava adults, an egg parasitoid of the corn leafhopper pest Dalbulus maidis
Authors: Torres‐Moreno Rosaura , Moya‐Raygoza Gustavo 
Published: March 2024

AbstractThe diet consumed by adult parasitoids can affect longevity, survival, and fecundity. Honeydew from sap‐sucking insects is an abundant food resource in the field; however, artificial diets such as commercial bee honey are often used in lab rearing. The parasitoid Paracentrobia subflava (Girault) (Hymenoptera: Trichogrammatidae) is a natural enemy of Dalbulus maidis (DeLong) (Hemiptera: Cicadellidae). The longevity and survival of P. subflava when fed natural and artificial diets under controlled conditions have not been studied. Further, the fecundity of P. subflava when fed a diet of honey has not been investigated. Therefore, our first objective was to analyse the longevity and survival of P. subflava when fed (1) honeydew of the corn leafhopper D. maidis, (2) honey + water, (3) honey + water + pollen, (4) water, and (5) nothing (control). Our second objective was to evaluate P. subflava fecundity upon exposure to D. maidis eggs, comparing parasitoids fed with honey + water versus controls (no food or water). In the second objective, honey was chosen since it was determined during the first objective to be the optimal food. The longevity of adult parasitoids (laboratory‐reared and field‐collected) was high when fed on honey and low when fed other diets. The highest longevity was achieved with honey + water: 17 days, while the survival of adult parasitoids was only 3 days for honeydew. Interestingly, fecundity, in terms of the percentage of parasitism and the percentage of emergence, did not differ between parasitoid females that had access to honey + water as a food resource and those that had no food or water.