Turnover Studies Research Articles

Structure-Based Discovery of a Series of Covalent, Orally Bioavailable, and Selective BFL1 Inhibitors.

BFL1, a member of the antiapoptotic BCL2 family, has been relatively understudied compared to its counterparts despite evidence of its overexpression in various hematological malignancies. Across two articles, we describe the development of BFL1 in vivo tools. The first article describes the hit identification from a covalent fragment library and the subsequent evolution from the hit to compound 6.22 This work reports the structure-based optimization of compound 6 into a series of BFL1 inhibitors selective over the other BCL2 family members, with low nanomolar cellular activity when combined with AZD5991, exemplified by compound 20. Compound 20 demonstrated a cell death phenotype in SUDHL1 and OCILY10 cell lines and in the in vivo study, BFL1 stabilization and cleaved caspase 3 activation were observed in a dose-dependent manner. In addition, the enzymatic turnover studies with the BFL1 protein showed that compound 20 stabilized the protein, extending the half-life to 10.8 h.

Perspectives Historical and Contemporary on Employee Turnover: A Literature Review

For over a century, employee turnover has been a topic of interest for many researchers globally. This literature review primarily aimed to examine the evolution of employee turnover from the perspective of senior researchers and to discuss potential future research directions in the field. The methodology was qualitative, involving a comprehensive bibliographic review. Searches were conducted in databases such as Scopus, SciELO, PsycArticles, JSTOR, Wiley, ScienceDirect, and Google Scholar, resulting in the analysis of 77 articles from international journals ranked “Q1” in the Scimago Journal & Country Rank (2022 evaluation) and Brazilian journals from the “A” stratum of Qualis/CAPES (2017-2020 quadrennium). The key findings revealed that: (i) the historical evolution of turnover studies highlights the increasing interest in the topic and the pursuit of understanding its causes, characteristics, and consequences; (ii) initially, the phenomenon was addressed through individual characteristics and aspects, but research has evolved towards collective approaches at group, unit, and organizational levels; (iii) the studies analyzed in recent decades highlight the diversity of contexts across different continents, with a focus on cultural and value influences affecting turnover. The main conclusions indicate that, historically, the phenomenon of employee turnover began to be analyzed in the USA in the early 1900s, later evolving with the application of various theories, and contemporary research focuses on approaches that consider organizational and socio-cultural influences.

Prion protein pathology in Ubiquilin 2 models of ALS

Mutations in UBQLN2 cause ALS and frontotemporal dementia (FTD). The pathological signature in UBQLN2 cases is deposition of highly unusual types of inclusions in the brain and spinal cord that stain positive for UBQLN2. However, what role these inclusions play in pathogenesis remains unclear. Here we show cellular prion protein (PrPC) is found in UBQLN2 inclusions in both mouse and human neuronal induced pluripotent (IPSC) models of UBQLN2 mutations, evidenced by the presence of aggregated forms of PrPC with UBQLN2 inclusions. Turnover studies indicated that the P497H UBQLN2 mutation slows PrPC protein degradation and leads to mislocalization of PrPC in the cytoplasm. Immunoprecipitation studies indicated UBQLN2 and PrPC bind together in a complex. The abnormalities in PrPC caused by UBQLN2 mutations may be relevant in disease pathogenesis.

Voluntary turnover of high achievers: A systems psychodynamics analysis with CIBART

Orientation: Voluntary turnover is a costly and frequently disruptive organisational phenomenon, particularly when it involves high achievers.Research purpose: The study aimed to develop a psychodynamic exposé of voluntary turnover by applying the conflict, identity, boundaries, authority, roles and task (CIBART) model to the lived experiences of high achievers.Motivation for the study: The research primarily focusses on voluntary turnover as an individual, rational decision-making process. It recognises the contribution of unconscious systems psychodynamics to voluntary turnover. Research conducted from this perspective is necessary to gain a more comprehensive and in-depth understanding of the topic.Research approach/design and method: Seven case studies of individual voluntary turnover were conducted in a large private retail company. Data were collected using free association narrative (FANI) interviews. The analysis of the data was guided by hermeneutic phenomenology, and the interpretive frame used was the CIBART model.Main findings: Six themes were constructed to describe the conflict dynamics along each of the six CIBART dimensions. Within each theme, the conflict dynamic is exposed, revealing the subsequent anxiety and defences that accumulate leading to the decision to leave. Ultimately, the six themes synthesise to propose that voluntary turnover is a conscious manifestation, yet an unconscious defence against system-wide conflict.Practical/managerial implications: Facilitating leaders’ understanding and processing of the conflict dynamics that occur across the CIBART dimensions, and which contribute to voluntary turnover, create opportunities for both transformation and prevention.Contribution/value-add: The research offers insights into the psychodynamics of voluntary turnover, which consulting psychologists and organisational leaders can utilise to address this phenomenon within their work groups.

3D Mitochondrial Structure in Aging Human Skeletal Muscle: Insights into MFN-2 Mediated Changes.

Age-related atrophy of skeletal muscle, is characterized by loss of mass, strength, endurance, and oxidative capacity during aging. Notably, bioenergetics and protein turnover studies have shown that mitochondria mediate this decline in function. Although exercise has been the only therapy to mitigate sarcopenia, the mechanisms that govern how exercise serves to promote healthy muscle aging are unclear. Mitochondrial aging is associated with decreased mitochondrial capacity, so we sought to investigate how aging affects mitochondrial structure and potential age-related regulators. Specifically, the three-dimensional (3D) mitochondrial structure associated with morphological changes in skeletal muscle during aging requires further elucidation. We hypothesized that aging causes structural remodeling of mitochondrial 3D architecture representative of dysfunction, and this effect is mitigated by exercise. We used serial block-face scanning electron microscopy to image human skeletal tissue samples, followed by manual contour tracing using Amira software for 3D reconstruction and subsequent analysis of mitochondria. We then applied a rigorous in vitro and in vivo exercise regimen during aging. Across 5 human cohorts, we correlate differences in magnetic resonance imaging, mitochondria 3D structure, exercise parameters, and plasma immune markers between young (under 50 years) and old (over 50 years) individuals. We found that mitochondria we less spherical and more complex, indicating age-related declines in contact site capacity. Additionally, aged samples showed a larger volume phenotype in both female and male humans, indicating potential mitochondrial swelling. Concomitantly, muscle area, exercise capacity, and mitochondrial dynamic proteins showed age-related losses. Exercise stimulation restored mitofusin 2 (MFN2), one such of these mitochondrial dynamic proteins, which we show is required for the integrity of mitochondrial structure. Furthermore, we show that this pathway is evolutionarily conserved as Marf, the MFN2 ortholog in Drosophila, knockdown alters mitochondrial morphology and leads to the downregulation of genes regulating mitochondrial processes. Our results define age-related structural changes in mitochondria and further suggest that exercise may mitigate age-related structural decline through modulation of mitofusin 2.

Emerging Technologies and Evolving Work Practices Impacting Employee Engagement: Automobile industry

Purpose: The manufacturing industry has been at the cutting-edge of technology advancements, which has improved quality and profoundly altered work practises. Technology disruptions are redefining work practices, resulting in innovation and creativity driving higher productivity and performance. Man-machine collaboration is profoundly strengthening manufacturing, increasing product quality and safety features. Robots, Cobots working alongside the shopfloor act as a substitute human workforce, increasing productivity and performance Theoretical framework: Multiple theories support employee turnover studies and the job embeddedness theory suits this study the most. JE theory clearly states that employees who feel connected to the social and professional phase within the organization are less likely to leave. Likewise, motivated and up skilled employees will tend to have better QOL and QWL. Design/methodology/approach: The study was conducted over three months in the automobile industry, and the design adopted a mixed method approach; primary evidence was collected from the field as an interview method, and also various scholarly evidence collaborated with our study. The research design is descriptive and deductive in nature. The methodology used in the research paved the way to answer the critical research question with the help of a theory. Findings: Adapting to new work practices results in changes to job design as employers optimize their workforces to meet the demands of the latest techniques. Implementing disruptive technologies can improve the efficiency, safety, and fulfilment of the workplace in the automobile industry. The new-age practices driven by disruptive technologies enhance skill development, productivity, and employee engagement Research, practical & social implications: Disruptive technologies are improving the safety and quality parameters. Organizations focusing on employees' up skilling based on learning preferences and learning styles tremendously impact productivity, motivation, and morale, enhancing job satisfaction and employee retention. Originality/value: Data collected from the field interactions derived the factual position which was tested using various statistical tool to ensure reliability and validity. Findings added to the body of knowledge further.

Effect of an immune challenge and two feed supplements on broiler chicken individual breast muscle protein synthesis rate

Optimization of broiler chicken breast muscle protein accretion is key for the efficient production of poultry meat, whose demand is steadily increasing. In a context where antimicrobial growth promoters use is being restricted, it is important to find alternatives as well as to characterize the effect of immunological stress on broiler chicken's growth. Despite its importance, research on broiler chicken muscle protein dynamics has mostly been limited to the study of mixed protein turnover. The present study aims to characterize the effect of a bacterial challenge and the feed supplementation of citrus and cucumber extracts on broiler chicken individual breast muscle proteins fractional synthesis rates (FSR) using a recently developed dynamic proteomics pipeline. Twenty-one day-old broiler chickens were administered a single 2H2O dose before being culled at different timepoints. A total of 60 breast muscle protein extracts from five experimental groups (Unchallenged, Challenged, Control Diet, Diet 1 and Diet 2) were analysed using a DDA proteomics approach. Proteomics data was filtered in order to reliably calculate multiple proteins FSR making use of a newly developed bioinformatics pipeline. Broiler breast muscle proteins FSR uniformly decreased following a bacterial challenge, this change was judged significant for 15 individual proteins, the two major functional clusters identified as well as for mixed breast muscle protein. Citrus or cucumber extract feed supplementation did not show any effect on the breast muscle protein FSR of immunologically challenged broilers. The present study has identified potential predictive markers of breast muscle growth and provided new information on broiler chicken breast muscle protein synthesis which could be essential for improving the efficiency of broiler chicken meat production. SignificanceThe present study constitutes the first dynamic proteomics study conducted in a farm animal species which has characterized FSR in a large number of proteins, establishing a precedent for biomarker discovery and assessment of health and growth status. Moreover, it has been evidenced that the decrease in broiler chicken breast muscle protein following an immune challenge is a coordinated event which seems to be the main cause of the decreased growth observed in these animals.

A Cross-Sectional Study of Nurse Turnover in Residential Care Communities.

We examine what facility characteristics are associated with nurse turnover in residential care communities (RCCs). This is a cross-sectional study using the 2018 National Study of Long-term Care Provider Public Use File. There were 3331 RCCs (unweighted n = 272) represented when examining registered nurse (RN) turnover and when examining aide turnover there was a weighted sample of 13,676 RCCs (unweighted n = 68). RN turnover was 72% (95% confidence interval (CI) 59%, 84%), 52% reported 100% turnover. Aide turnover was 48% (95% CI 43%, 53%); 11% reported 100% turnover. We examined ownership and facility type, job design, economic, and working environment factors related to turnover. Using multivariate linear regression, non-profit RCCs had 25 percentage points lower RN turnover (95% CI: -44.46, -4.31) and 9.7 percentage points lower aide turnover (95% CI: 18.8, -0.6) compared to for-profits. We find larger RCCs had lower aide turnover.

Predicting evolutionary targets and parameters of gene deletion from expression data.

Gene deletion is traditionally thought of as a nonadaptive process that removes functional redundancy from genomes, such that it generally receives less attention than duplication in evolutionary turnover studies. Yet, mounting evidence suggests that deletion may promote adaptation via the "less-is-more" evolutionary hypothesis, as it often targets genes harboring unique sequences, expression profiles, and molecular functions. Hence, predicting the relative prevalence of redundant and unique functions among genes targeted by deletion, as well as the parameters underlying their evolution, can shed light on the role of gene deletion in adaptation. Here, we present CLOUDe, a suite of machine learning methods for predicting evolutionary targets of gene deletion events from expression data. Specifically, CLOUDe models expression evolution as an Ornstein-Uhlenbeck process, and uses multi-layer neural network, extreme gradient boosting, random forest, and support vector machine architectures to predict whether deleted genes are "redundant" or "unique", as well as several parameters underlying their evolution. We show that CLOUDe boasts high power and accuracy in differentiating between classes, and high accuracy and precision in estimating evolutionary parameters, with optimal performance achieved by its neural network architecture. Application of CLOUDe to empirical data from Drosophila suggests that deletion primarily targets genes with unique functions, with further analysis showing these functions to be enriched for protein deubiquitination. Thus, CLOUDe represents a key advance in learning about the role of gene deletion in functional evolution and adaptation. CLOUDe is freely available on GitHub (https://github.com/anddssan/CLOUDe).

Simultaneous and site-specific profiling of heterogeneity and turnover in protein S-acylation by intact S-acylated peptide analysis with a cleavable bioorthogonal tag.

Protein S-acylation is an important lipid modification characteristic for heterogeneity in the acyl chain and dynamicity in the acylation/deacylation cycle. Most S-acylproteomic research has been limited by indirect identification of modified proteins/peptides without attached fatty acids, resulting in the failure to precisely characterize S-acylated sites with attached fatty acids. The study of S-acylation turnover is still limited at the protein level. Herein, aiming to site-specifically profile both the heterogeneity and the turnover of S-acylation, we first developed a site-specific strategy for intact S-acylated peptide analysis by introducing an acid cleavable bioorthogonal tag into a metabolic labelling method (ssMLCC). The cleavable bioorthogonal tag allowed for the selective enrichment and efficient MS analysis of intact S-acylated peptides so that S-acylated sites and their attached fatty acids could be directly analysed, enabling the precise mapping of S-acylated sites, as well as circumventing false positives from previous studies. Moreover, 606 S-palmitoylated (C16:0) sites of 441 proteins in HeLa cells were identified. All types of S-acylated peptides were further characterized by an open search, providing site-specific profiling of acyl chain heterogeneity, including S-myristoylation, S-palmitoylation, S-palmitoleylation, and S-oleylation. Furthermore, site-specific monitoring of S-palmitoylation turnover was achieved by coupling with pulse-chase methods, facilitating the detailed observation of the dynamic event at each site in multi-palmitoylated proteins, and 85 rapidly cycling palmitoylated sites in 79 proteins were identified. This study provided a strategy for the precise and comprehensive analysis of protein S-acylation based on intact S-acylated peptide analysis, contributing to the further understanding of its complexity and biological functions.

Community and motivation among tennis officials: a cross-cultural multilevel analysis.

Sport officials are pivotal to the development of the game at every level. Yet, the exploration of these officials' job satisfaction and turnover intentions, especially within tennis, remains largely neglected. This study undertakes a cross-cultural adaptation and validation of the Referee Retention Scale (RRS) in a Chinese context (RRS-CN) and uses multilevel models (MLM) to explore the influence of perceived administrator consideration, mentoring, continuing education opportunities, remuneration, stress, and ecological factors on tennis officials' sense of community and officiating motivation. Data from 523 tennis officials across 26 provinces in China were gathered via an online survey. Through exploratory and confirmatory factor analyses, the RRS-CN was validated as a culturally adaptive 25-item scale. In the following, MLM results revealed that officiating levels, socioeconomic status, perceived administrator consideration, mentoring, and levels of continuing education significantly predict officials' sense of community. Additionally, we identified that continuing education, mentoring, and remuneration significantly influences officiating motivation. These findings underscore the importance of fair assignments, mentorship, and ongoing professional development in enhancing job satisfaction and retention. Future explorations are encouraged to extend the analysis to more ecological variables and further investigate their potential effects on systematic partial nesting, enhancing the generalizability and precision of measurement in job satisfaction and turnover studies across diverse cultural landscapes.

Is someone listening to me? The effect of employees’ perception of managers’ virtual listening behaviour on turnover behaviour in the high-tech sector during the Covid-19 pandemic

PurposeThis paper aims to examine whether information technology (IT) managers’ virtual listening, as rated by their high-tech employees, affected turnover behaviour beyond a new constellation of variables, some of which have never been researched as antecedents of turnover behaviour, particularly during a pandemic or crisis. Namely, the main aim, among others, is to answer the research question: does IT employees’ perception of the quality of their supervisors’ virtual listening in the pandemic and crisis era, when employees and managers work remotely, will negatively affect turnover behaviour? If yes, in which constellation of antecedents the virtual listening effecting on turnover behaviour?Design/methodology/approachLogistic regression analysis was conducted to test the hypotheses via SPSS 26 and PROCESS (Model 6). The variance inflation factor was calculated to test multicollinearity. Interaction was tested using the Hayes and Preacher PROCESS macro model. The researchers also used the J-N technique test (Johnson–Neyman via process). The supplemental analysis used also PROCESS MACRO (IBM Corp., Armonk, NY, USA, 2023) Model 4 and Bootstrap test.FindingsThe findings show that perceptions of supervisors’ virtual listening quality as rated by their employees moderated the relationship between organisational deviance as a type of organisational misbehaviour (OMB) and turnover behaviour and had the strongest effect on turnover behaviour beyond other key predictors (organisational deviance as a type of misbehaviour, turnover intention, job satisfaction, embeddedness and alternatives in the labour market). Alternatives to current work moderated the association between the perception of managers’ virtual listening behaviour as rated by their employees and turnover behaviour. Specifically, when alternatives in the labour market were high or medium, the perceived quality of managers’ virtual listening reduced turnover behaviour. Finally, the perception of the IT employees supervisors’ virtual listening moderated the relationship between organisational deviance and turnover intention among high-tech employees.Originality/valueEvaluating supervisor listening in the high-tech firm may have value in terms of its relationship to outcomes such as retaining employees, turnover intention and especially turnover behaviour. The effect on turnover behaviour and of that new constellation of antecedents on turnover behaviour when people work remotely was not researched yet and important for the post COVID-19 era. Additionally, in contrast to most studies of turnover, this study also focus on the positive aspects of turnover and especially turnover behaviour to organisations in general and especially to high-tech firm and not just the negative aspect as was researched until now. Another contribution is the finding that when employees perceived their managers’ virtual listening quality as high, the effect of deviance as a type of OMB on turnover behaviour was positive. Namely, the listening as a moderator and turnover assisted in making the organisation cleaner from inappropriate behaviour. Additionally, when alternatives in the labour market are high or medium, perceived quality of virtual listening of managers as rated by their employees can reduce turnover behaviour. This virtual listening–turnover relationship and the moderator of alternatives to current work had not previously been found in the turnover literature and this is also significant a contribution to the turnover and withdrawal literature.

Emerging Technologies and Evolving Work Practices Impacting Employee Engagement- Automobile Industry

Purpose: The manufacturing industry has been at the cutting edge of technological advancements, improving quality and profoundly altering work practices. Technology disruptions redefine work practices, resulting in innovation and creativity, driving higher productivity and performance. Man-machine collaboration is profoundly strengthening manufacturing, increasing product quality and safety features. Robots, Cobots working alongside the shopfloor act as a substitute human workforce, increasing productivity and performance Theoretical framework: Multiple theories support employee turnover studies; the job embeddedness theory suits this study the most. JE theory clearly states that employees who feel connected to the social and professional phase within the organization are less likely to leave. Likewise, motivated and up-skilled employees will tend to have better QOL and QWL. Design/methodology/approach: The study was conducted over three months in the automobile industry, and the design adopted a mixed method approach; primary evidence was collected from the field as an interview method and various scholarly evidence collaborated with our study. The research design is descriptive and deductive in nature. The methodology used in the research paved the way to answer the critical research question with the help of a theory. Findings: Adapting to new work practices results in changes to job design as employers optimize their workforces to meet the demands of the latest techniques. Implementing disruptive technologies can improve the efficiency, safety, and fulfillment of the workplace in the automobile industry. The new-age practices driven by disruptive technologies enhance skill development, productivity, and employee engagement. Research, practical & social implications: Disruptive technologies are improving the safety and quality parameters. Organizations focusing on employees' upskilling based on learning preferences and learning styles tremendously impact productivity, motivation, and morale, enhancing job satisfaction and employee retention. Originality/value: Data collected from the field interactions derived the factual position, which was tested using various statistical tools to ensure reliability and validity. Findings added to the body of knowledge further.

A large-scale LC-MS dataset of murine liver proteome from time course of heavy water metabolic labeling

Metabolic stable isotope labeling with heavy water followed by liquid chromatography coupled with mass spectrometry (LC-MS) is a powerful tool for in vivo protein turnover studies. Several algorithms and tools have been developed to determine the turnover rates of peptides and proteins from time-course stable isotope labeling experiments. The availability of benchmark mass spectrometry data is crucial to compare and validate the effectiveness of newly developed techniques and algorithms. In this work, we report a heavy water-labeled LC-MS dataset from the murine liver for protein turnover rate analysis. The dataset contains eighteen mass spectral data with their corresponding database search results from nine different labeling durations and quantification outputs from d2ome+ software. The dataset also contains eight mass spectral data from two-dimensional fractionation experiments on unlabeled samples.

외식산업 이직 관련 연구 동향 분석

In this study, text network analysis, one of the content analysis methods, was used to comprehensively and holistically analyze the cumulative performance of turnover-related studies in the food service industry. For this purpose, 346 articles registered in the academic research information service from 1998, when the first article on turnover in the food service industry was published, to April 2023 were analyzed, divided into the pre-turnover period (1998~2009) and the post-turnover period (2010~2023). Key word frequency analysis, centrality analysis, co-occurrence frequency analysis, and CONCOR analysis were conducted, and the results of this study are as follows. First, the number of turnover studies in the foodservice industry has increased dramatically since 2010. Second, in the later period of turnover research, the topics and subjects of turnover research have become more diverse compared to the earlier period of turnover research. Third, it can be seen that the concepts of turnover intention, job satisfaction, organizational commitment, and job stress are the most important and influential words in turnover research in the foodservice industry.

Bone Mineral Density During and After Lactation: A Comparison of African American and Caucasian Women

During lactation, changes in maternal calcium metabolism are necessary to provide adequate calcium for newborn skeletal development. The calcium in milk is derived from the maternal skeleton through a process thought to be mediated by the actions of parathyroid hormone-related protein (PTHrP) in combination with decreased circulating estrogen concentrations. After weaning, bone lost during lactation is rapidly regained. Most studies of bone metabolism in lactating women have been performed in Caucasian subjects. There are well-documented differences between African American (AA) and Caucasian (C) bone metabolism, including higher bone mineral density (BMD), lower risk of fracture, lower 25-hydroxyvitamin D (25(OH) D), and higher PTH in AA compared to C. In this prospective paired cohort study, BMD and markers of bone turnover were compared in self-identified AA and C mothers during lactation and after weaning. BMD decreased in both AA and C women during lactation, with similar decreases at the lumbar spine (LS) and greater bone loss in the C group at the femoral neck (FN) and total hip (TH), demonstrating that AA are not resistant to PTHrP during lactation. BMD recovery compared to the 2 week postpartum baseline was observed 6 months after weaning, though the C group did not have complete recovery at the FN. Increases in markers of bone formation and resorption during lactation were similar in AA and C. C-terminal telopeptide (CTX) decreased to 30% below post-pregnancy baseline in both groups 6 months after weaning, while procollagen type 1 N-terminal (P1NP) returned to baseline in the AA group and fell to below baseline in the C group. Further investigation is required to determine impacts on long term bone health for women who do not fully recover BMD before a subsequent pregnancy.

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Purpose: The purpose of this bibliometric study is to analyze, realize, and identify the scope of research on employee turnover, as well as to indicate the growth and development of this area of study as it appears in the Scopus database. The fundamental goal of this study is to undertake a thorough bibliometric review of research on the application, identification, network structure, and conceptual framework of employee turnover. Design/methodology/approach: After doing extensive research online, we located the best available articles. The studies used for the review were located using the Scopus database. From 1957 to 2023, a total of 2904 articles were located and whittled down to 1948 papers. With the aid of the R programming language and the VOS viewer software, we have analyzed each piece of writing from multiple angles, including authorship, citation, conceptual structure, co-word occurrence, trend topics analysis, thematic map, and visualization. Findings: A strategic thematic map was used to identify motor themes, basic transversal themes, specialty themes, and emerging and decreasing topics. The findings of the study revealed significant progress in the study of employee turnover during the previous 67 years of literature. This work also serves as a resource for researchers to use in the years to come. This research utilized relational methods such as co-word, co-author, co-citation analysis, bibliographic coupling, and thematic map analysis to identify new areas of inquiry. According to the relational method, "employee turnover" and "turnover intention" are key components that link to other commonly used phrases in the reviewed research. Originality: The interest of academics and businesspeople in studying the factors that contribute to employee turnover has led to a boom in this area of study during the past two decades. This research goes farther than previous efforts in evaluating the scientific development of articles in employee turnover, including a closer look at the individuals and methods used in the process. An annual growth rate of 7.25% was also found for researchers' joint, multi-author, and interdisciplinary endeavors. Overall, this research improves our knowledge of employee turnover and offers different insights. Social implications: It enlightens future scholars on the new topics, settings, and potential for interdisciplinary work in this field. It draws attention to the most pressing concerns in the field and points the way to promising avenues for future study. This study has the potential to contribute significantly to the study of employee turnover and its causes

Insights on Employee Turnover: A Bibliometric Analysis

Purpose: The purpose of this bibliometric study is to analyze, realize, and identify the scope of research on employee turnover, as well as to indicate the growth and development of this area of study as it appears in the Scopus database. The fundamental goal of this study is to undertake a thorough bibliometric review of research on the application, identification, network structure, and conceptual framework of employee turnover. Design/methodology/approach: After doing extensive research online, we located the best available articles. The studies used for the review were located using the Scopus database. From 1957 to 2023, a total of 2904 articles were located and whittled down to 1948 papers. With the aid of the R programming language and the VOS viewer software, we have analyzed each piece of writing from multiple angles, including authorship, citation, conceptual structure, co-word occurrence, trend topics analysis, thematic map, and visualization. Findings: A strategic thematic map was used to identify motor themes, basic transversal themes, specialty themes, and emerging and decreasing topics. The findings of the study revealed significant progress in the study of employee turnover during the previous 67 years of literature. This work also serves as a resource for researchers to use in the years to come. This research utilized relational methods such as co-word, co-author, co-citation analysis, bibliographic coupling, and thematic map analysis to identify new areas of inquiry. According to the relational method, "employee turnover" and "turnover intention" are key components that link to other commonly used phrases in the reviewed research. Originality: The interest of academics and businesspeople in studying the factors that contribute to employee turnover has led to a boom in this area of study during the past two decades. This research goes farther than previous efforts in evaluating the scientific development of articles in employee turnover, including a closer look at the individuals and methods used in the process. An annual growth rate of 7.25% was also found for researchers' joint, multi-author, and interdisciplinary endeavors. Overall, this research improves our knowledge of employee turnover and offers different insights. Social implications: It enlightens future scholars on the new topics, settings, and potential for interdisciplinary work in this field. It draws attention to the most pressing concerns in the field and points the way to promising avenues for future study. This study has the potential to contribute significantly to the study of employee turnover and its causes

Effect of Cash, Receivables, and Inventory Turnover on Net Profit Margin (NPM) in Food & Beverage Subsector Manufacturing Companies

Abstract This study focused on the influence of cash turnover, receivables turnover, and inventory turnover against the Net Profit Margin (NPM), showing the inequality of the results of previous studies. Therefore, this research investigates whether that inequality is associated with cash turnover, receivables turnover, and supply turnover against NPM, which becomes the focus of this study. The research used the data obtained from food and beverage manufacturing subsectors in the Southeast Asian Stock Exchange between 2012 and 2018. This study applied purposive sampling of 11 companies that provided a complete financial report, acquiring 77 samples. The statistical analyses used were multiple linear regression, partial testing, and simultaneous testing. The results of this study indicated that cash turnover and receivables turnover had no significant influence on the NPM, while the supply turnover had a significant influence on NPM. The results of the simulta-neous study of cash turnover, the turnover of receivables, and inventory turnover have a signif-icant rate of 0.010 < 0.05. It can be concluded that cash turnover, turnover receivables, and inventory rotation significantly influence the NPM.

Dietary behavior and its influencing factors among experienced shiftwork nurses: a secondary analysis.

This study investigated the dietary behavior of experienced shiftwork nurses and aimed to identify factors related to dietary behavior. This study was a secondary analysis based on the Shift Work Nurses' Health and Turnover study (2018-2021) among Korean nurses. In total, 247 experienced (>12 months) shiftwork nurses were included in this study. The participants' dietary behavior, depression, level of occupational stress, fatigue, physical activity, and general characteristics were measured. Descriptive statistics, Pearson correlation coefficients, independent t-test, one-way analysis of variance, the Kruskal-Wallis test, and multiple regression analysis were conducted. The dietary behavior score of the participants using the Mini-Dietary Assessment Index was 29.35±5.67. Thirty percent of the participants were depressed, the participants experienced moderate occupational stress, and 74.1% of the participants engaged in an inadequate amount of physical activity. The factors influencing shiftwork nurses' dietary behavior were having child(ren) (β=.16, p=.027), depression (β=-.13, p=.032), level of occupational stress related to occupational climate (β=-.13, p=.035), and an inadequate amount of physical activity (β=-.17, p=.006). These factors explained 10.4% of the variance in experienced shiftwork nurses' dietary behavior scores. Experienced nurses with child(ren) tended to have healthier diets. However, a higher level of occupational stress related to occupational climate, depression, and engaging in an inadequate amount of physical activity were associated with a higher risk of having an unhealthy diet. Therefore, strategies are needed to encourage physical activity and alleviate adverse occupational climate and depression among experienced nurses.