bluuebunny/crossref_metadata_2025_split huggingface dataset:
Why and how targets’ negative workplace gossip exhort knowledge hiding? Shedding light on organizational justice
Authors: Khan Abdul Gaffar , Li Yan , Akram Zubair , Akram Umair 
Published: August 2022

Purpose
Extant scholars identified negative workplace gossip as a social stressor that negatively influences employees’ behavior and attitude. Despite the burgeoning interest in workplace stressors, limited studies have explored how the detrimental consequences of targets’ perceived negative workplace gossip spur their emotions and behaviors. Grounding on conservation of resources and ego depletion theories, this study aims to investigate why and how targets’ negative workplace gossip may contribute to trigger knowledge hiding. Specifically, the authors explore the underlying mechanism of personal ego depletion and boundary conditions of organizational justice to shed new light on the above process.

Design/methodology/approach
Using two time-wave survey, the authors collected 340 sample data from employees working in high-tech companies of China. Hierarchical regression analysis was used to examine hypothesized relationships of moderated mediation model.

Findings
The empirical results revealed that negative workplace gossip exacerbates knowledge hiding by increasing personal ego depletion. Furthermore, through testing moderated mediation model, the results showed that organizational justice (i.e. distributive and procedural justice) with the low presence moderates the stronger strength of the linkage between negative workplace gossip and personal ego depletion, and likewise, it also moderates the stronger effect of negative workplace gossip on knowledge hiding via personal ego depletion.

Practical implications
This study recommends several guidelines for managers and practitioners to mitigate negative gossip by strengthening organizational justice.

Originality/value
This study first enriches novel understanding in the literature between negative workplace gossip and knowledge hiding by using a new emotional mechanism (i.e. personal ego depletion). This research also contributes new insights by incorporating contextual boundary conditions (i.e. organizational justice) that have not been yet researched on negative gossip and knowledge hiding linkage.
Hiring for gender diversity in tech
Authors: Ly-Le Tuong-Minh 
Published: August 2022

PurposeGender diversity, or in-diversity, has long been a problem in the tech industry. Until now, significant gaps and barriers still exist. This paper examines how recruitment practices within the technology sector can contribute to gender inequality and how recruitment practices can be improved to support a gender-diverse organization.Design/methodology/approachThis paper adopted library research and case study as papers' methodologies.FindingsThere are many benefits of gender diversity, including better performance, better financial returns, and lower volatility. However, most tech companies do not make diversity a priority, and usually display conscious or unconscious gender biases. Some of the recommendations to overcome this diversity issue are to make diversity a goal, offer unconscious bias training, and expand recruitment efforts.Practical implicationsThe findings imply that companies not pursuing a diverse workforce are in danger of experiencing lags in innovation and could be left behind. The findings also show that a technology company can increase the diversity of the company's workforce by applying practices that have already proven to be successful.Originality/valueThis paper confirms that gender parity is not just a social mission nor is gender parity solely a public relations initiative to improve a company's image. Technology companies must be continually innovating to thrive in companies' highly competitive and rapidly changing industry.
Promoting students’ interest and achievement in mathematics through “King and Queen of Mathematics” initiative
Authors: Kihwele Jimmy Ezekiel , Mkomwa Jamila 
Published: August 2022

PurposeThe study explored the impact of the King and Queen of Mathematics Initiative (KQMI) in promoting students’ interest in learning mathematics and improving their achievement. The specific objectives of the study focused on the impact of the initiative in promoting interest in mathematics, assessing the contribution of the initiative to students’ achievements and investigating challenges encountered by the initiative.Design/methodology/approachThe study used a case study design with a mixed-method approach. One ward secondary school was involved. The sample size was N = 79, where 77 were grade three students in a science class and two teachers. Data collection involved documentary review, observation and interviews. Data analysis employed both content analysis and a dependent t-test to determine the effect size of the initiative.FindingsThe findings revealed that KQMI had a significant impact on improving performance in mathematics among students (t (71) = −7.917, p < 0.05). The study also showed that male students improved their performance more than their counterparts throughout the KQMI. The mathematics teacher revealed that students still need assistance to solve mathematical questions with different techniques to develop the expected competencies.Research limitations/implicationsThe initiative was conducted only in one school, limiting the findings’ generalization. Also, the innovation faced different challenges, such as accessing adequate resources and students with little knowledge of mathematics, which the initiative aimed to address.Practical implicationsPedagogical innovations enhance the promotion of students’ interest in learning mathematics and hence improve their performance. Also, through pedagogical innovations, teachers improve their teaching skills and practices from students’ feedback.Originality/valueThe KQMI is a new pedagogical innovation modified from the existing innovations such as game-based method, task design, mobile learning and mathematics island.
The effects of chatbots’ attributes on customer relationships with brands: PLS-SEM and importance–performance map analysis
Authors: Magno Francesca , Dossena Giovanna 
Published: August 2022

PurposeMany firms are investing in digital services to improve customer experiences. Virtual service agents, or “e-service agents” (“e-agents”) such as chatbots, are examples of these efforts. Chatbots are types of virtual-assistant software programs that interact with users through speech or text. This paper aims to investigate whether the perceived hedonic and utilitarian attributes of chatbots can influence customer satisfaction and, consequently, their relationships with brands.Design/methodology/approachData were collected through a questionnaire-based survey among a sample of Italian consumers. A convenience sampling technique was used. Data were then analyzed through Partial Least Squares Structural Equation Modeling to provide a prediction-oriented model assessment. The findings were then complemented with an importance–performance map analysis (IPMA) to gain more detailed insights and actionable guidelines for managers.FindingsThe findings highlighted that the perceived hedonic and utilitarian attributes of chatbots positively influenced customer satisfaction and improved customer relationships with the brands. However, the IMPA highlighted that the performance levels of two most important attributes – system quality and experience with chatbot – could be improved resulting in additional improvements of customer satisfaction.Practical implicationsThis study suggests the importance of firms’ investments in and adoption of e-agents to strengthen consumer–brand relationships and of considering both the hedonic and utilitarian attributes of their e-agents.Originality/valueThis article attempts to enrich and consolidate the growing body of literature concerning the impacts of new technologies – and, specifically, chatbots – in service marketing.
Predicting bushmeat biomass from species composition captured by camera traps: Implications for locally based wildlife monitoring
Authors: Hongo Shun , Dzefack Zeun’s C. B. , Vernyuy Latar N. , Minami Sosuke , Mizuno Kaori , Otsuka Ryoma , Hiroshima Yukiko , Djiéto‐Lordon Champlain , Nakashima Yoshihiro , Yasuoka Hirokazu 
Published: August 2022

Abstract

Facing the bushmeat crisis, tropical forests require effective monitoring for sustainable wildlife management. To gain credibility with local people and conservation officials, the monitoring needs indicators that comply with local knowledge and predict the available faunal resources.

This study explores predictive indicators for bushmeat biomass—the total biomass of five main hunted mammals—in a Cameroonian rainforest. We employed camera trapping and the Random Encounter and Staying Time (REST) model to estimate the spatial variation in each species' population density and bushmeat biomass at three sites. We then calculated six indicators from camera‐trap capture rate estimates and assessed their predictive performance for the total wild meat amount.

Duikers generally increased with distance from the public road, but two red duiker species were more markedly affected by the distance than blue duikers. Spatial density patterns of brush‐tailed porcupines and Emin's pouched rats differed between sites. Consequently, bushmeat biomass displayed exponential growth away from the road with varying degrees among the sites.

Of the six indicators, the R/B ratio (red‐to‐blue duiker ratio) and the D/R ratio (duiker‐to‐rodent ratio) exhibited positive linear‐like correlations to bushmeat biomass at all sites. The correlation lines were moderately similar across sites in the R/B ratio but largely different in the D/R ratio, suggesting that the latter is unsuitable for sharing information between neighbouring communities.

Synthesis and applications. The two indicators based on captured animal composition may effectively predict the total biomass of the main target species for bushmeat hunting, given a reasonably large sample size. The R/B ratio (red duikers/blue duikers) is recommended as a first choice; the D/R ratio (duikers/rodents) can be a good alternative when information sharing is not essential. Because local hunters are aware of depletion‐related changes in species composition of caught animals, these indices may be effectively incorporated into community‐based wildlife monitoring.
The evolution, complexity and diversity of models of long‐term forest dynamics
Authors: Bugmann Harald , Seidl Rupert 
Published: August 2022

AbstractTo assess the impacts of climate change on vegetation from stand to global scales, models of forest dynamics that include tree demography are needed. Such models are now available for 50 years, but the currently existing diversity of model formulations and its evolution over time are poorly documented. This hampers systematic assessments of structural uncertainties in model‐based studies.We conducted a meta‐analysis of 28 models, focusing on models that were used in the past five years for climate change studies. We defined 52 model attributes in five groups (basic assumptions, growth, regeneration, mortality and soil moisture) and characterized each model according to these attributes. Analyses of model complexity and diversity included hierarchical cluster analysis and redundancy analysis.Model complexity evolved considerably over the past 50 years. Increases in complexity were largest for growth processes, while complexity of modelled establishment processes increased only moderately. Model diversity was lowest at the global scale, and highest at the landscape scale. We identified five distinct clusters of models, ranging from very simple models to models where specific attribute groups are rendered in a complex manner and models that feature high complexity across all attributes.Most models in use today are not balanced in the level of complexity with which they represent different processes. This is the result of different model purposes, but also reflects legacies in model code, modelers' preferences, and the ‘prevailing spirit of the epoch’. The lack of firm theories, laws and ‘first principles’ in ecology provides high degrees of freedom in model development, but also results in high responsibilities for model developers and the need for rigorous model evaluation.Synthesis. The currently available model diversity is beneficial: convergence in simulations of structurally different models indicates robust projections, while convergence of similar models may convey a false sense of certainty. The existing model diversity—with the exception of global models—can be exploited for improved projections based on multiple models. We strongly recommend balanced further developments of forest models that should particularly focus on establishment and mortality processes, in order to provide robust information for decisions in ecosystem management and policymaking.
Incorporating sustainability as a cross‐cutting vector in the design of public policies
Authors: Méndez Xiana 
Published: August 2022

AbstractSpain is committed to incorporating sustainability as a cross‐cutting vector in the design of public policies. In the area of trade policy and public financial support for internationalization, this is reflected in the Spanish's support for the inclusion of sustainability in the negotiation of all trade agreements and in the adaptation of our financial instruments to support internationalization to the objectives of ecological transition and the fight against climate change. In conclusion, it is imperative that green transition and sustainability inform the actions of public authorities horizontally. Only in this way will we be able to achieve the ambitious objectives proposed and make the transition to a truly sustainable economic system. The design and negotiation of trade agreements or the adequacy of public financing instruments are just two examples, but fundamental ones, where this approach is required.
Sweden: Political Developments and Data in 2021
Authors: WIDENSTJERNA THOMAS , WIDFELDT ANDERS 
Published: August 2022

AbstractThe year 2021 in Sweden contained no elections, but was still very eventful. A lack of government stability, observable in earlier years, became increasingly apparent. There was a successful vote of no‐confidence against the Social Democratic Party (Socialdemokraterna)/Green Party (Miljöpartiet de gröna) minority coalition in late June, but the same government was reinstated 16 days later. In early November the Social Democrats changed leader from Stefan Löfven to Magdalena Andersson. This was followed by a corresponding change of Prime Minister, after a somewhat chaotic chain of events where the government lost a key budget vote and the Greens left the government. Andersson thus became Sweden's first‐ever female Prime Minister, in charge of a single‐party Social Democratic minority government. The Greens changed female spokesperson in January. There were no institutional changes.
Whole‐genome sequencing identifies new candidate genes for nonobstructive azoospermia
Authors: Malcher Agnieszka , Stokowy Tomasz , Berman Andrea , Olszewska Marta , Jedrzejczak Piotr , Sielski Dawid , Nowakowski Adam , Rozwadowska Natalia , Yatsenko Alexander N. , Kurpisz Maciej K. 
Published: August 2022

AbstractBackgroundGenetic causes that lead to spermatogenetic failure in patients with nonobstructive azoospermia (NOA) have not been yet completely established.ObjectiveTo identify low‐frequency NOA‐associated single nucleotide variants (SNVs) using whole‐genome sequencing (WGS).Materials and methodsMen with various types of NOA (n= 39), including samples that had been previously tested with whole‐exome sequencing (WES;n= 6) and did not result in diagnostic conclusions. Variants were annotated using the Ensembl Variant Effect Predictor, utilizing frequencies from GnomAD and other databases to provide clinically relevant information (ClinVar), conservation scores (phyloP), and effect predictions (i.e., MutationTaster). Structural protein modeling was also performed.ResultsUsing WGS, we revealed potential NOA‐associated SNVs, such as:TKTL1, IGSF1, ZFPM2, VCX3A(novel disease causing variants),ESX1, TEX13A, TEX14, DNAH1, FANCM, QRICH2, FSIP2, USP9Y, PMFBP1, MEI1, PIWIL1, WDR66, ZFX, KCND1, KIAA1210, DHRSX, ZMYM3, FAM47C, FANCB, FAM50B(genes previously known to be associated with infertility) andALG13, BEND2, BRWD3, DDX53, TAF4, FAM47B, FAM9B, FAM9C, MAGEB6, MAP3K15, RBMXL3, SSX3andFMR1NBgenes, which may be involved in spermatogenesis.Discussion and conclusionIn this study, we identified novel potential candidate NOA‐associated genes in 29 individuals out of 39 azoospermic males. Note that in 5 out of 6 patients subjected previously to WES analysis, which did not disclose potentially causative variants, the WGS analysis was successful with NOA‐associated gene findings.
Prediction of semen analysis parameter improvement after varicocoelectomy using 1 H NMR‐based metabonomics assays
Authors: Neto Filipe Tenorio Lira , Marques Ronmilson Alves , Cavalcanti Filho Alexandre de Freitas , Fonte João Eduardo Freire da , Lima Salvador Vilar Correia , Silva Ricardo Oliveira 
Published: August 2022

AbstractBackgroundVaricocoele is the most common correctable cause of male infertility; however, predicting varicocoelectomy outcomes is difficult. “Omics” techniques have been increasingly used to develop new diagnostic and prognostics tools for several male infertility causes, and could be applied to study varicocoele.ObjectivesThe objective is to create metabolomics models capable of segregating men who improved semen analysis (SA) parameters or achieved natural pregnancy after microsurgical varicocoelectomy (MV) from those who did not, using hydrogen‐1 nuclear magnetic resonance (1H NMR) spectra of seminal plasma of pre‐operative samples.Material and methodsWe recruited 29 infertile men with palpable varicocoele. 1H NMR spectra of seminal plasma were obtained from pre‐operative samples and used to create metabonomics models. Improvement was defined as an increase in the total motile progressive sperm count (TMC) of the post‐operative SA when compared to the baseline, and pregnancy was assessed for 24 months after MV.ResultsUsing linear discriminant analysis (LDA), we created a model that discriminated the men who improved SA from those who did not with accuracy of 93.1%. Another model segregated men who achieved natural pregnancy from men who did not. We identified seven metabolites that were important for group segregation: caprylate, isoleucine, N‐acetyltyrosine, carnitine, N‐acetylcarnitine, creatine, and threonine.DiscussionWe described the use of metabonomics model to predict with high accuracy the outcomes of MV in infertile men with varicocoele. The most important metabolites for group segregation are involved in energy metabolism and oxidative stress response, highlighting the pivotal role of these mechanisms in the pathophysiology of varicocoele.Conclusions1H NMR spectroscopy of seminal plasma can be used in conjunction with multivariate statistical tools to create metabonomics models useful to segregate men with varicocoele based on the reproductive outcomes of MV. These models may help counseling infertile men with varicocoele regarding their prognosis after surgery.
Customized normothermic machine perfusion decreases ischemia–reperfusion injury compared with static cold storage in a porcine model of liver transplantation
Authors: Riveros Sergio , Marino Carlo , Ochoa Gabriela , Soto Dagoberto , Alegría Leyla , Zenteno Maria José , San Martín Sebastián , Brañes Alejandro , Achurra Pablo , Rebolledo Rolando 
Published: August 2022

AbstractBackgroundLiver transplantation has been demonstrated to be the best treatment for several liver diseases, while grafts are limited. This has caused an increase in waiting lists, making it necessary to find ways to expand the number of organs available for transplantation. Normothermic perfusion (NMP) of liver grafts has been established as an alternative to static cold storage (SCS), but only a small number of perfusion machines are commercially available.MethodsUsing a customized ex situ machine perfusion, we compared the results between ex situ NMP and SCS preservation in a porcine liver transplant model.ResultsDuring NMP, lactate concentrations were 80% lower after the 3‐h perfusion period, compared with SCS. Bile production had a 2.5‐fold increase during the NMP period. After transplantation, aspartate transaminase (AST) and alanine transaminase (ALT) levels were 35% less in the NMP group, compared to the SCS group. In pathologic analyses of grafts after transplant, tissue oxidation did not change between groups, but the ischemia–reperfusion injury score was lower in the NMP group.ConclusionNMP reduced hepatocellular damage and ischemia–reperfusion injury when compared to SCS using a customized perfusion machine. This could be an alternative for low‐income countries to include machine perfusion in their therapeutic options.
Does an (in)congruent corporate social responsibility strategy affect employees' turnover intention? A configurational analysis in an emerging country
Authors: Virador Leomar B. , Chen Li‐Fei 
Published: August 2022

AbstractCorporate social responsibility (CSR) initiatives toward internal and external stakeholders can independently contribute to employee attitudes and behaviors. However, little is known about the joint effects of (in)congruent internal‐external CSR strategies on employee outcomes. Drawing from social exchange theory, we argue that when employees perceive that their organizations excessively favor CSR efforts to external rather than internal stakeholders, it can trigger a psychological contract breach, resulting in increased employees' turnover intention. We utilized a fuzzy‐set qualitative comparative analysis method and the data of 511 employee from various industries in the Philippines to investigate the interaction effects. The results revealed that a congruent CSR strategy with high internal and external CSR perceptions is critical in fulfilling employees' psychological contracts and retaining employees. However, for employees with low perceived internal CSR, a high incongruent CSR perception led to a psychological contract breach and ultimately to high turnover intention. Psychological contract breach weakened the negative joint effect of high perceived internal and external CSR on turnover intention and strengthened the positive effect of high perceived incongruent CSR on turnover intention. Implications for research and practice are discussed.
The social‐encoding benefit in face recognition is generalized to other‐race faces
Authors: Schwartz Linoy , Cohen Michal , Xu Shan , Liu Jia , Yovel Galit 
Published: August 2022

AbstractFaces are visual stimuli that convey rich social information. Previous experiments found better recognition for faces that were evaluated based on their social traits than on their perceptual features during encoding. Here, we ask whether this social‐encoding benefit in face recognition is also found for categories of faces that we have no previous social experience with, such as other‐race faces. To answer this question, we first explored whether social and perceptual evaluations for other‐race faces are consistent and valid. We then asked whether social evaluations during encoding improve recognition for other‐race faces. Results show that social and perceptual evaluations of own‐ and other‐race faces were valid. We also found high agreement in social and perceptual evaluations across individuals from different races. This indicates that evaluations of other‐race faces are not random but meaningful. Furthermore, we found that social evaluations facilitated face recognition regardless of race, demonstrating a social‐encoding benefit for both own‐ and other‐race faces. Our findings highlight the role of social information in face recognition and show how it can be used to improve recognition of categories of faces that are hard to recognize due to lack of experience with them.