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Stunting is a major multifactorial health problem in Indonesia that negatively impacts children. Among Southeast Asian countries, Indonesia had the highest prevalence of child stunting (0–59 months old). As Indonesia has also the largest population in Southeast Asia, it is crucial to assess measures to decrease the prevalence of stunting in the country. Therefore, this study aims to examine the prevalence and determinants of stunting among children 6–23 under two years old in Indonesia.

The study used a cross-sectional design using the national database. A total of 15,641 children aged 6–23 months were included in the study. A multivariate logistic regression was performed to identify the association between the dependent and independent variables.

The prevalence of stunting was 18% (95% CI = 17.5%–18.7%). This study found that children aged 12–23 months were the dominant factor in stunting (OR = 2.12, 95% CI = 1.92–2.36). Factors associated with stunting include being male (OR = 1.37, 95% CI = 1.26–1.49), low birth weight (LBW) (OR = 1.95, 95% CI = 1.68–2.27), short birth length (SBL) (OR = 1.82, 95% CI = 1.64–2.01), history of infection (OR = 1.15, 95% CI = 1.06–1.26) and lack of dietary diversity (OR = 1.13, 95% CI = 1.04–1.00) consumption of empty calorie drinks (OR = 1.11, 95% CI = 1.01–1.24), unimproved sanitation (OR = 1.16, 95% CI = 1.04–1.30), middle socioeconomic status (OR = 1.34, 95% CI = 1.16–1.55), low maternal education (OR = 1.51, 95% CI = 1.08–2.10) and living in a rural area (OR = 1.15, 95% CI = 1.06–1.26).

To the best of the authors’ knowledge, this is the first study to analyze the prevalence and determinants of stunting among children under two years old in Indonesia using a national which represented a population of interest.

This study aims to introduce a novel machine learning feature vector (MLFV) method to bring machine learning to overcome the time-consuming computational fluid dynamics (CFD) simulations for rapidly predicting turbulent flow characteristics with acceptable accuracy.

In this method, CFD snapshots are encoded in a tensor as the input training data. Then, the MLFV learns the relationship between data with a rod filter, which is named feature vector, to learn features by defining functions on it. To demonstrate the accuracy of the MLFV, this method is used to predict the velocity, temperature and turbulent kinetic energy fields of turbulent flow passing over an innovative nature-inspired Dolphin turbulator based on only ten CFD data.

The results indicate that MLFV and CFD contours alongside scatter plots have a good agreement between predicted and solved data with R² ≃ 1. Also, the error percentage contours and histograms reveal the high precisions of predictions with MAPE = 7.90E-02, 1.45E-02, 7.32E-02 and NRMSE = 1.30E-04, 1.61E-03, 4.54E-05 for prediction velocity, temperature, turbulent kinetic energy fields at Re = 20,000, respectively.

The method can have state-of-the-art applications in a wide range of CFD simulations with the ability to train based on small data, which is practical and logical regarding the number of required tests.

The paper introduces a novel, innovative and super-fast method named MLFV to address the time-consuming challenges associated with the traditional CFD approach to predict the physics of turbulent heat and fluid flow in real time with the superiority of training based on small data with acceptable accuracy.

The pharmaceutical industry is facing significant pressure to tackle antimicrobial resistance (AMR). Other ecological, societal and regulatory pressures are also driving the industry to “go green”. While such a (green) transition could be possible through appropriate green practices’ implementation, the present understanding about it is superficial and vague. A key reason is the lack of green practices’-related studies on pharmaceuticals, which are also insufficiently comprehensive. This knowledge gap is sought to be addressed.

A systematic literature review (SLR) was conducted with 73 carefully selected articles, then subjected to thematic content analyses for synthesising the relevant themes and sub-themes.

Around 76 operational-level green practices covering all key stakeholders across the drug lifecycle were identified. It was revealed that designing drugs having accelerated environmental degradability is important to combat AMR. Also, redesigning existing drugs is environmentally more resource-intensive than developing new ones with significant cost-saving potential in solvent recycling and flexible manufacturing, both of which are not common at present. With regards to green-related barriers, stringent quality requirements on drugs (and therefore risks in making relevant green-oriented modifications) and time-consuming and costly regulatory approvals were found to be the key ones.

The operational green practices’ framework developed for individual pharmaceutical supply chain stakeholders could help practitioners in benchmarking, modifying and ultimately, adopting green practices. The findings could also assist policymakers in reframing existing regulations, such as Good Manufacturing Practices or GMP-related, to promote greener drug development.

This work is the first systematic attempt to identify and categorise operational-level green supply chain practices across stakeholders in the pharmaceutical sector.

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  Biodegradability of drugs is more important than environmental degradability.

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  Flexible manufacturing process design (or quality by design) reduces resource wastage.

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  Ecopharmacovigilance is effective in combating PIE and AMR-related issues.

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  Upstream and downstream coordination is key to greening pharma operations.

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  Costly and time-consuming regulatory approval is a key barrier to greening pharma processes.

Biodegradability of drugs is more important than environmental degradability.

Flexible manufacturing process design (or quality by design) reduces resource wastage.

Ecopharmacovigilance is effective in combating PIE and AMR-related issues.

Upstream and downstream coordination is key to greening pharma operations.

Costly and time-consuming regulatory approval is a key barrier to greening pharma processes.

The current inquiry advances the public relations field and practice in several ways. First, this research addresses a clear gap in research on subjective well-being, specifically among PR professionals across career stages and generations. Second, the findings reveal important generational similarities and differences in how PR practitioners talk about well-being. This provides an empirical basis for developing tailored, multi-generational approaches to supporting well-being in PR workplaces. Lastly, this research provides practical implications for PR professionals to understand generational perspectives and to implement flexible policies to improve well-being.

The current study explored subjective well-being (SWB) across generations of public relations professionals. Using a qualitative approach, semi-structured interviews were conducted with 12 PR practitioners at various career levels – entry, mid-level and senior.

Analysis revealed several similarities but a key disparity among cohorts. Senior-level professionals specifically reported struggling with work–life balance and the perceived ability to be autonomous, while entry-level professionals expressed commitment to setting boundaries on their time. These findings highlight a need for the PR industry to establish flexible workplace standards that enable employees at different career stages to collaborate and support one another’s well-being.

Our findings will appeal to your readers who seek to cultivate employee subjective well-being and understand generational issues via qualitative methods. By conducting a qualitative study in an understudied area, PR industry leaders and managers can support employee well-being across generations and career stages.

Our study is the first to examine generational dispositions as it relates to SWB across the public relations industry.

Integrating balance theory and social identify theory, this paper proposes a multilevel model to explain how abusive supervision climate of team impacts the relationship among team members as well as subordinates’ behavior towards their teammates, especially organizational citizenship behavior (OCB).

A survey was conducted to collect two-wave and multi-source data from 398 employees nested in 106 teams from Chinese high-technology companies. Hierarchical linear modeling was conducted to examine the theoretical model.

The results indicate that there is an inverted U-shape association between abusive supervision climate and subordinates’ OCB towards coworker; team member exchange (TMX) mediates their inverted U-shaped link. Furthermore, we confirm that coworker support plays a vitally moderating role upon the curvilinear link of abusive supervision climate (ASC)–TMX; specifically, when employees perceive low coworker support, negative relations between ASC and TMX will be stronger.

This study identifies team members’ advantageous and adverse relational response to shared threat of ASC and examines coworker support as a moderator of ASC, which provides valuable insights into when and why employees tend to cooperate with their teammates to jointly confront their leader’s abuse and highlights the importance of coworkers, thus enabling organizations to deeply understand the wider influences of ASC on interpersonal relationship between team members.

The purpose of this study is to systematically review the recent empirical literature on job stress and burnout among prison staff with a focus on predictors, outcomes of stress and burnout and the mediating role that stress and burnout can play between its predictors and outcomes.

The authors followed systematic literature review (SLR) protocols for the social sciences, and searches were done on two large research databases: SCOPUS and Web of Science. Articles included in the study were from January 2015 to March 2020. After the screening and eligibility processes, 48 articles met the inclusion/exclusion criteria, and 33 articles were included in the full-text qualitative analysis.

Characteristics of the samples, main authors and journals and measures used to assess stress and burnout are presented, showing that most research was done in the USA, with cross-sectional studies using similar measures of stress and burnout. Results from the qualitative analysis were organised around the main research questions. Most studies explored the antecedents of stress and burnout in the context of the job demands – resources model. Common predictors that consistently increase stress and burnout among different samples include perceived dangerousness of the job and work–family conflict. Participation in decision-making and social support consistently decrease job stress.

This paper presents a SLR on stress and burnout among prison officers in a pre-COVID-19 pandemic era, providing an important picture of the published scientific research on the topic as well as implications for theory and practice.

Stewardship behavior is an important embodiment of the spirit of employee ownership, which is critical to the sustainability of companies, especially under the influence of the COVID-19 epidemic. Most previous studies have focused on how to motivate employees’ stewardship behavior, but little is known about how stewardship behavior affects employees themselves. The purpose of this study is to explore how employee stewardship behavior affects their work-family interface based on the conservation of resources (COR) theory.

In this study, structural equation modeling was conducted using two-wave survey data from 323 employees through three internet companies in Southern China.

Results reveal that engaging in stewardship behavior is positively correlated with both positive emotion and emotional exhaustion. Positive emotion and emotional exhaustion, in turn, mediate the effects of stewardship behavior on work–home interface. Family motivation influences the strength of the relationships between positive emotion or emotional exhaustion and work–family interface, that is, high family motivation strengthens the positive association between positive emotion and work–family enrichment and weakens the positive association between emotional exhaustion and work–family conflict.

This study suggests that managers should give employees more support and care to ease the worries of engaging in stewardship behavior. Also, organizations should recruit employees with high family motivation, which can reduce the negative effects of stewardship behavior on work–-family interface.

Based on an actor’s perspective, this study examines both the positive and negative effects of stewardship behavior on employees themselves, thereby increasing understanding of the dual effect of stewardship behavior. In addition, this study further elucidates the mechanisms that moderate the positive and negative effects of individual family motivation on their engagement in stewardship behavior within the COR theory.

Premised on the conservation of resources (COR) theory, our study attempts to investigate if emotional exhaustion (EE) is a mediator in linking customer incivility (CI) and employee job performance (JP). Additionally, it examines the moderating role of PsyCap in customer incivility and job performance relationships. Furthermore, we explore whether PsyCap moderates the mediating effect of emotional exhaustion in customer incivility and job performance relationships.

Using a multi-phase survey, data was gathered from 469 frontline employees working in diverse service sectors in India. All analyses were done with SPSS 25 and AMOS 23 to determine the study's findings.

The study substantiates a partial mediation effect, revealing that customer incivility intensifies emotional exhaustion among FLEs, resulting in decreased job performance. In addition, the interaction of PsyCap seemed to weaken the relationship between CI and employee JP. However, PsyCap does not mitigate the indirect association of CI and employee JP via emotional exhaustion. To our surprise, we observed a slight amplification in the mediating impact of emotional EE at elevated levels of PsyCap.

The study findings suggest that training employees and cultivating their PsyCap could be a strategic solution for effectively managing and mitigating the adverse effects of customer incivility in the workplace.

Our study marks the first empirical exploration of PsyCap's moderating role between customer incivility and both job performance and emotional exhaustion linkage.

Vicarious abusive supervision (VAS) has recently garnered the attention of hospitality researchers. VAS is prevalent in hospitality work settings characterized by long production chains and open operating environments. Based on the conservation of resources (CORs) theory, this study aims to examine how VAS influences hospitality employees’ work behaviours (i.e. supervisor-directed deviance, silence and helping behaviour) via affective rumination, with the moderating role of industry tenure as an individual contingency on the relationship between VAS and affective rumination.

The data were gathered from 233 restaurant frontline employees and their supervisors in Turkey. The authors tested the proposed model using partial least squares method through SmartPLS 3.

The results reveal that VAS triggers affective rumination, which, in turn, is positively related to supervisor-directed deviance and silence, and negatively related to helping behaviour. Moreover, industry tenure, as a buffer resource, significantly moderates the relationship between VAS and affective rumination.

To reduce the occurrence of VAS and mitigate its negative effects, managers should establish a work environment that embraces understanding and respect, pay attention to how they communicate with employees, implement appropriate interventions when VAS occurs and conduct stress management training and improve employees’ emotion regulation skills in ways that correspond to the employees’ industry experience.

This study advances research on VAS by offering insight into how VAS impacts employees’ work behaviours via the underlying mechanism of affective rumination through a COR lens. The findings also shed light on the salient buffering effect of industry tenure as an individual contingency.

The main aim of this study was to examine gender differences in job satisfaction in Europe.

For the empirical analysis, data from the Sixth European Working Conditions Survey were used. Oaxaca–Blinder decomposition with a principal component analysis (PCA) aggregated variable, after unconditional quantile regressions in a multiple imputation background, was implemented.

Women report higher job satisfaction than men do. Women were significantly more satisfied than men for the middle levels of the job satisfaction distribution.

This study expands the evidence on the determinants of job satisfaction in the European labour market by applying a recent form of decomposition that invests in unconditional quantile regression (UQR). To the best of this study knowledge, this is the first time that the Oaxaca–Blinder decomposition with a PCA aggregated variable after unconditional quantile regression has been employed to study gender-based differences in job satisfaction.