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This study aims to explore the intention to quit and its associations among ambulance personnel and to compare the intention to quit and its associations between paramedic and non-paramedic staff.

A cross-sectional study was conducted on 492 Australian ambulance personnel. Participants were selected by stratified random sampling. Data were collected using phone interview-administered questionnaires. Descriptive analyses, bivariate associations and structural equation modelling were performed for data analysis.

The study found that 70% of ambulance personnel intended to quit their jobs. Intention to quit was similar between paramedics and non-paramedic staff. In both staff groups, supervisors' and colleagues' support was associated with mental health symptoms; job satisfaction was associated with the intention to quit. Supervisors' and colleagues' support was indirectly associated with the intention to quit via increasing job satisfaction and reducing the experience of mental health symptoms among paramedics only. Mental health symptoms were directly associated with the intention to quit and indirectly associated with the intention to quit via reducing job satisfaction among paramedics only.

The study findings provide evidence for resource allocation in human resource management. The findings suggest that interventions to increase job satisfaction may reduce the intention to quit for all ambulance personnel. Interventions to improve supervisors' and colleagues' support and to manage depression, anxiety and stress symptoms may help to reduce the intention to quit for paramedics only.

This is the first study to model and compare the direct and indirect associations of intention to quit between paramedics and non-paramedic staff in ambulance personnel.

This study aims to investigate the relationships between various frontline management (FLM) styles, human resource management system (HRM) system strength and employees' helping behaviours as a form of organisational citizenship behaviours (OCBs). The research also examines the moderating role of workgroup loyalty in the association between HRM system strength and employees' helping behaviours.

The research uses survey data collected from 315 government workers in Malaysia. Structural equation modelling (SEM) was employed to test the hypothesised relationships.

Two FLM styles, “policy enactor” and “employee coach,” positively predict employees' helping behaviour. However, the “organisational leader” FLM style did not significantly lead to employees' helping behaviour. HRM system strength significantly mediates the relationship between the three FLM styles and employee helping behaviours. Finally, workgroup loyalty significantly moderates the relationship between HRM system strength and employees’ helping behaviours as OCB.

With a wealth of literature demonstrating the importance of FLMs in the implementation of HRM and a growing body of literature demonstrating the robust nature of the “system strength” argument, human resource (HR) practitioners are increasingly able to focus their attention on the way the system and FLMs contribute to employee outcomes and organisational performance. Our results indicate that HRM system strength does indeed enhance the impact of FLM styles on employee helping behaviours.

The originality of this paper is that it acknowledges and empirically examines the heterogenous nature of FLM styles, through signalling theory in enacting HRM policies and links the growing FLM literature to the HRM system strength research. These concepts have also been tested for the first time in a Malaysian context.

Drawing from the human resource management (HRM) literature and framed with self-determination theory, this article seeks to investigate the impact of a hybrid system of HRM, characterized by the integration of practices from high-involvement work systems (HIWS) and high-compliance work systems (HCWS), on employee well-being in China.

We hypothesize there is a positive relationship between the hybrid system and employee well-being, mediated by the satisfaction of basic psychological needs as proposed by self-determination theory. To test these hypotheses, we conducted a cross-sectional survey involving 337 employees from both an agricultural company and a bank in China.

Our dataset provides support for the hypotheses, indicating that hybrid human resource (HR) systems positively relate to employee well-being, with a positive association with work engagement and a negative association with emotional exhaustion. Furthermore, our findings reveal that this relationship is mediated by the satisfaction of basic psychological needs.

This paper contributes to the HRM literature in three significant ways. First, it explores the hybrid HRM system, which integrates high-involvement work systems (HIWS) and high-compliance work systems (HCWS), enhancing the theorization of HRM in a more comprehensive manner. Second, it utilizes self-determination theory (SDT) to illuminate the underlying mechanisms connecting hybrid HRM to employee well-being – a topic that has received limited attention in prior research. Lastly, we operationalize employee well-being by examining both work engagement and emotional exhaustion, thereby offering a comprehensive understanding of its multidimensional nature.

This study investigates information flow of market constituents and global indices at multi-frequencies.

The study’s findings were obtained using the Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (I-CEEMDAN)-based cluster analysis executed for Rényi effective transfer entropy (RETE).

The authors find that significant negative information flows among sustainability equities (SEs) and conventional equities (CEs) at most multi-frequencies, which exacerbates diversification benefits. The information flows are mostly bi-directional, highlighting the importance of stock markets' constituents and their global indices in portfolio construction.

The authors advocate that both SE and CE markets are mostly heterogeneous, revealing some levels of markets inefficiencies.

The empirical literature on CEs is replete with several dynamics, revealing their returns behaviour for diversification purposes, leaving very little to know about the returns behaviour of SE. Wherein, an avalanche of several initiatives on Corporate Social Responsibility (CSR) enjoin firms to operate socially responsible, but investors need to have a clear reason to remain sustainable into the foreseeable future period. Accordingly, the humble desire of investors is the formation of a well-diversified portfolio and would highly demand stocks to the extent that they form a reliable portfolio, especially, amid SEs and/or CEs.

本研究擬審查多頻率的及為市場成份的信息流和全球指數。

研究人員使用基於改良完全集合經驗模態分解自適應噪聲(Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise)的聚類分析法,取得Rényi有效轉移熵,藉此得到研究結果。

我們發現、於大部份多頻率,在持續性股票和傳統股票間有顯著的負信息流動,這會增加多樣化的益處。這些信息流大部份是雙向的,這強調了股票市場成份及其全球指數在構建投資組合上的重要性。

我們認為持續性股票市場和傳統股票市場大多為異質市場,這顯示了市場的低效率,而且這低效率的程度頗大。

關於傳統股票的實證性文獻裡是充滿了變革動力的,這顯示了它們以多樣化為目的的回報行為。這使我們對關於持續性股票的回報行為、認識變得實在太少了。於此,大量的企業社會責任的新措施不斷提醒各公司、要本著企業社會責任的理念去營運;但投資者需清晰明白他們為何需在可見的將來保持可持續性。因此,他們卑微的願望是一個較好的多樣化投資組合得以形成,故此他們高度要求股票要有組成可靠投資組合的性質和能力,特別是在持續性股票和/或傳統股票當中。

This study examines the adoption of cotton combine services and its impact on farm technical efficiency in Kazakhstan and Uzbekistan. The research aims to determine whether mechanisation influences productivity and economic output at the farm level.

Using farm-level data from 511 cotton growers in Kazakhstan and Uzbekistan collected in 2019, this study employs stochastic frontier analysis to measure potential output and technical inefficiency among cotton farmers. The analysis includes a translog functional form to account for the use of cotton combine services and other farming variables.

The findings indicate that while mechanisation through cotton combines can potentially increase technical efficiency by optimising the harvesting process, the benefits are not uniformly experienced across all farms. Variations in farm characteristics, such as labour availability and existing agricultural practices, influence the efficiency of technology adoption. Institutional factors and historical legacies also play a significant role in the adoption and impact of mechanisation.

The study is based on cross-sectional data from 2019, and the findings may not capture longer-term trends or recent developments in mechanisation policies in the study countries.

This research provides a nuanced understanding of the conditions under which cotton combine services enhance or hinder technical efficiency. It highlights the necessity for carefully tailored policies for mechanisation, especially in Uzbekistan, where rural labour is abundant and predominantly female. The study contributes to the broader discourse on agricultural mechanisation in developing countries by focusing on the specific context of Central Asia.

This article highlights the recipient of the Exemplary PDS Award given by the National Association of School–University Partnerships. In 2024, the University of North Carolina Wilmington's Watson College of Education (WCE) PDS School–University Partnership with Isaac Bear Early College (IBEC) and Southeast Area Technical (SEA-Tech) High School were recognized for their collaborative work. This article highlights the structures and major activities involved in a longstanding, successful PDS partnership.

The article is derived from the award proposal and written in an informative, narrative style, embedding references to each of the NAPDS 9 Essentials to assist in highlighting key aspects of the partnership.

Due to the nature of this piece, there are no research findings.

This article draws additional attention to various aspects of this exemplary partnership and may inspire future nominations.

The article aims to provide an accurate and efficient numerical algorithm for viscous flows in power-law fluids under various thermal boundary and partial slip conditions.

We are conducting a numerical investigation using the Taylor–Galerkin/pressure correction finite element method, which builds upon the work of previous researchers. Here, attention is therefore given to the interplay of various thermal boundary and stick-slip conditions and their impact on non-isothermal inelastic fluid.

The results demonstrate the influence of the Prandtl, Brinkman and Reynolds numbers on the flow’s thermal and hydrodynamic behavior, concentrating on the impact of slip at the wall. Furthermore, we have presented the effects of these dimensionless parameters on the detailed local and average Nusselt numbers, illustrated the high accuracy we obtained for numerical convergence, and compared our results with those of previous papers, observing excellent agreement.

We have successfully tested the code under the presented industrial conditions. Future research directions on this topic aim for efficient and robust solvers for non-Newtonian thermal rheological models; this algorithm can be used for that purpose.

This algorithm has never been used for numerical analysis of such a problem previously.

People are often recognized as the weakest part of thwarting phishing attacks. The goal of preventing phishing can conflict with the goal of keeping a good level of productivity in daily work; however, we still lack an understanding of this multigoal scenario. This paper aims to develop and test a new model of antiphishing performance, especially in relation to individuals' task performance in daily work. Drawing on the extended multiple-goal pursuit model (MGPM*), we examined the relationship between task performance at a time point and the subsequent antiphishing performance as well as how this relationship differs across varying types of phishing emails and attention levels to phishing cues.

We tested the model by conducting a field experiment with a survey questionnaire. Four legitimate work emails and four phishing emails (consisting of two work-related and two work-unrelated emails) were sent to 357 participants. The data were analyzed using generalized estimating equations.

The results indicate that task performance at a time point has a curvilinear relationship with subsequent antiphishing performance. This relationship is moderated by the types of phishing emails and individuals' attention to phishing cues. For work-related phishing emails, task performance is negatively associated with antiphishing performance when it reaches an intermediate level; however, when task performance is low, or high to an extent, it is positively related to antiphishing performance. For work-unrelated phishing emails, there is a positive association between task performance and antiphishing performance. Moreover, attention to phishing cues moderates the curvilinear relationship between task performance and antiphishing performance such that when task performance reaches an intermediate level, as attention to phishing cues increases, the relationship between task performance and antiphishing performance will turn from negative to positive.

This paper has practical implications that bear on the conflict between antiphishing performance and task performance.

This paper sheds light on the potential of the extended multiple-goal pursuit model in studying antiphishing behavior.

This study investigates relative poverty in China against its rapid economic growth and poverty reduction efforts, aiming to understand the impact of evolving poverty lines and rural-urban disparities.

Utilizing micro-survey data and a novel four-dimensional decomposition method, the research decomposes provincial relative poverty changes in China into poverty line and income distribution effects. The poverty line effect is further broken down into the extensive and intensive components, and the impact of income distribution into the growth and inequality effects, offering a detailed examination of their roles in urban and rural contexts.

The findings indicate that economic growth significantly mitigates the incidence, depth and severity of relative poverty across both settings, whereas income inequality exacerbates these aspects. Additionally, changes in the poverty line through the extensive and intensive effects markedly elevate relative poverty levels. Despite overall reductions, rural areas continue to face higher poverty rates than urban regions, emphasizing the necessity for targeted poverty alleviation policies.

This paper provides a novel perspective by dissecting China’s relative poverty dynamics through a four-dimensional analysis, highlighting the importance of considering economic growth, income inequality and the poverty line adjustments. It underlines the need for policies that specifically address the nuances of relative poverty, including the persistent rural-urban divide, contributing valuable insights for more effective poverty alleviation strategies.

The theoretical landscape surrounding the contribution of digital transformation to sustainability in higher education institutions is lacking in literature. Blended learning has gained popularity and poises for further growth as a sustainable and inclusive mode of learning that will shape the future of education. This study aims to investigate the organizational critical success factors that ensure high-quality blended learning opportunities.

Data was collected through an online student survey and semistructured interviews with academic leaders and faculty members.

Exploratory factor analysis and multiple linear regression revealed five main contributing factors to a successful overall hybrid experience, namely, faculty support, cognitive flexibility, learner self-actualization, student engagement and sense of belonging. In the results, students were satisfied with their gained skills, knowledge and engagement, and have succeeded in developing cognitive flexibility, self-actualization and sense of belonging. Faculty support was the strongest determinant. The presence of certain organizational dynamics, comprising management support of those with sustainability mindset, effective communication, blended leadership qualities and adequate faculty personality traits, presents as a major predictor to quality learning opportunities.

The theoretical landscape surrounding the contribution of digital transformation to sustainability in higher education institutions is lacking in literature, which emphasizes the novel aspects of this study. In particular, it contributes by determining the overall level of research on the subject, theoretical stances in this area and potential avenues for further investigation.