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Realities of food insecurity are more pronounced with a specific focus on women in developing countries. The need to understand the varied food insecurity experiences among female-headed agricultural households in such contexts provided the rationale and motivation for this study.

The study employed a quantitative cross-sectional approach, drawing on the binary logistic regression to determine the influence of socioeconomic status on household coping mechanisms in response to food insecurity in a stratified random sample of 509 female-headed agricultural households in Liberia.

The results revealed that most respondents experienced food insecurity reflected in inadequate food availability, an inability to eat nutritious food and the necessity to skip meals. In response, they employed coping strategies such as borrowing money, selling assets, and reducing health expenses, which were influenced by socioeconomic characteristics such as gender, education, and marital status.

The study illustrates the multi-layered and complex context of food insecurity among women. From these findings, the study proposes the consideration of such dynamics to inform practical and relevant mitigatory policy approaches to the target demographic.

With food insecurity being a social problem, the study identifies its social impact by documenting the participants' lived experiences. Thus, the study contributes to a deeper understanding of food insecurity across different segments of society.

The study draws its originality from understanding how food insecurity impacts female-headed households, highlighting the often-ignored gender dynamics of food insecurity in developing nations and aggregating the coping strategies and food insecurity expenses.

Digital forensic investigators (DFIs) encounter traumatic material, and this is associated with the development of secondary traumatic stress (STS). Limited research has been conducted with UK DFIs, a significant concern given their role. This study aims to explore levels of self-reported STS by DFIs, the relationship to gender, years as a DFI, frequency of exposure to traumatic material and difficulty coping with such material. This study also aims to provide insight into the psychological impact, identify potential risk groups and explore coping strategies within this specific group of professionals.

A correlational cross-sectional design was conducted at a fixed point in time, with a sample of 114 currently employed DFIs, recruited through the Forensic Capability Network.

Mean STS scores fell within the moderate range, although 29.9% of participants reported high to severe levels. Significant correlations were found between STS total and subscales with difficulty viewing child sexual abuse material (CSAM). While females reported higher mean STS scores, the difference was not statistically significant, however, females did score significantly higher on the arousal sub-scale of the STS. Regression analysis included the variables (COPE scale and subscales, frequency of viewing child abuse material, years spent working as a DFI, age, gender) that identified mental disengagement, difficulty viewing CSAM and younger age as predictors of increased STS.

Primarily, the reliance on self-report instruments lacks external validation of STS. Furthermore, possible response or selection basis could have stemmed from participants experiencing high stress. Hosting the study online hindered exploring this further, suggesting the potential for future research. Although the regression model explained 28% of STS variance, unaccounted factors remain, constituting 72% unexplained variance. A mixed method approach might unveil additional variables, addressing potential limitations. Additionally, this study was cross-sectional meaning that the authors cannot infer causation.

These findings underscore the need for educational efforts targeting DFI’s to raise awareness about potential mental health risks associated with CSAM-related work. Equally crucial is emphasising the hazards associated with adopting negative coping strategies. Equipping DFI’s with this knowledge may enable them to make informed decisions aimed at minimising the impact of job-related stressors. Moreover, it highlights the necessity of recognising DFIs as a group deserving access to professional and mental health support. It is pertinent to consider recent research highlighting the stigma of therapy and a prevailing perception of a “critical or judgemental workplace culture” among UK investigators.

To the best of the authors’ knowledge, this study represents the first known exploration of STS in UK-based DFI’s, encompassing an investigation into potential risk and protective factors. A proportion of the sample reported experiencing mild to severe levels of STS, with the mean STS score falling within the moderate range. Notably, 29.9% of participants reported high to severe levels of STS.

The findings provide an inaugural exploration of STS among UK-based DFI’s, offering crucial insight into the psychological impact, vulnerable demographics and coping strategies within this unique professional context. Practical implications based on the findings are considered.

The relationship between entrepreneurship and ethics explores dimensions that entrepreneurs should consider to face ethical dilemmas. One of the controversial points in this relationship is the human complexity and the balance between ethics and profit that characterize the decisions. The external pressure and the scarcity of the resources create entrepreneurs' ethical challenges impacting on strategic and governance decisions from which value should be obtained. Therefore, the nexus between entrepreneurship and ethics should be investigated to understand possible ways to leverage human values in the entrepreneurial actions. To this aim a bibliometric analysis has been carried out and Citespace, VOSviewer and Bibliometrix software have been used. Data have been extracted from Web of Science database in the timespan 1986–2023 generating 583 documents. The analysis shows the current literature published on the relationship between entrepreneurship and ethics by highlighting the main authors, (co)citations, countries, and journals that published papers on the topic. The findings from the four research questions defined shown that the top author publishing on the topic is Prof. Dr Fassin Yves. The most cited scholar is Prof. Spence Laura J. It was also found that the Journal of Business Ethics has the most publications on the topic. The top countries to publish articles on the topic are USA and UK. Five clusters have been found by grouping the main actors, countries and relevant research themes. The cluster on social entrepreneurship research is the main representative the topic. Limitations and future research have been discussed.

The primary goal of this review is to identify emerging themes in the cold supply chain (CSC) and their future research directions, methodologies, and theories.

The review looks at CSC related articles from Scopus database published in the years 2000–2020. Thereafter, bibliometric and co-citation analyses have been conducted to identify emerging themes, methodologies, and theoretical perspectives related to CSC management.

This study revealed a clear research gap in CSC literature with emerging themes relevant to diverse aspects. Primarily, the most prominent authors, methodologies, and theories were identified from bibliometric analysis. Next, we generated clusters to identify the insights of each cluster using co-citation analysis. Consequently, the significance of clusters concerning the number of articles, theoretical frameworks, methodologies, and themes was recognized. Finally, a few future research questions regarding emerging themes have been identified.

The importance of co-citation and bibliometric analyses in studying the evolution of research over a definite time is emphasized in this work. As per emerging themes, implementing digital technologies has increased the efficiency of traditional CSC and transformed it into digital CSC.

As per the authors' knowledge, this work is the first in literature to explore the significance of identifying emerging areas and future research directions in managing CSC through literature review based on bibliometric and co-citation analysis.

Growing emphasis on long-term viability prompts researchers and industry professionals to collaborate on innovative approaches for sustainability and survival. Industry 4.0 (I4.0) technology's importance drives active adoption by firms amidst evolving business dynamics. This research examines the influence of I4.0 technologies on lean, agile resilient and green practices and their impact on supply chain performance.

Survey data from Pakistani manufacturing enterprises were analyzed using SMART PLS to explore the relationship between I4.0 technology, supply chain practices and supply chain performance.

I4.0 technologies significantly impact all practices, while agile and resilient supply chain approaches partially mediate the relationship with supply chain performance.

Insights from this research guide policymakers and business experts in implementing and managing lean, agile, resilient and green practices. Integrating these principles with digital technology solutions enhances supply chain performance.

This study advances understanding of the interplay between I4.0 technologies, practices and supply chain performance, providing a basis for further research and practical implications.

The purpose of this paper is to examine career engagement and perceived employability during the school-to-work transition. We studied within-person changes in career engagement and perceived employability in the transition from higher education to the labor market. We investigated their dynamic reciprocal relationship to unravel whether career engagement or perceived employability is the leading indicator in the relationship in view of providing adequate support for students during the school-to-work transition.

We conducted latent change score (LCS) analyses on a three-wave sample of 701 graduates in Flanders (Belgium). We collected data in July (right before graduation), November and May. LCS is a novel method allowing to simultaneously test change and reciprocal relationships.

Our findings demonstrated how both career engagement and perceived employability changed (within-person) non-linearly during the school-to-work transition. As for their relationship, we found that perceived employability is the driving force in the relationship. Perceived employability fueled subsequent positive changes in career engagement, whereas career engagement did not lead to subsequent changes in perceived employability.

Our study connects the career development and the graduate employability literature, and examines the school-to-work transition from preparation for the labor market to ten months after graduation. We also make an important methodological contribution, demonstrating the added value of LCS for studying employability in higher education. Our findings provide insights in how higher education institutions may support students in the school-to-work transition.

The internal (farmer-controlled) and external (non-farmer-controlled) factors affect crop yield. However, not a single study has identified and analyzed yield predictors in India using effective predictive models. Thus, this study aims to investigate how internal and external predictors impact pearl millet yield and Stover yield.

Descriptive analytics and artificial neural network are used to investigate the impact of predictors on pearl millet yield and Stover yield. From descriptive analytics, 473 valid responses were collected from semi-arid zone, and the predictors were categorized into internal and external factors. Multi-layer perceptron-neural network (MLP-NN) model was used in Statistical Package for the Social Sciences version 25 to model them.

The MLP-NN model reveals that rainfall has the highest normalized importance, followed by irrigation frequency, crop rotation frequency, fertilizers type and temperature. The model has an acceptable goodness of fit because the training and testing methods have average root mean square errors of 0.25 and 0.28, respectively. Also, the model has R² values of 0.863 and 0.704, respectively, for both pearl millet and Stover yield.

To the best of the authors’ knowledge, the current study is first of its kind related to impact of predictors of both internal and external factors on pearl millet yield and Stover yield.

The literature reveals that most studies have estimated crop yield using limited parameters and forecasting approaches. However, this research will examine the impact of various predictors such as internal and external of both yields. The outcomes of the study will help policymakers in developing strategies for stakeholders. The current work will improve pearl millet yield literature.

While transition programs are widely used to facilitate newly graduated nurses transition to healthcare settings, knowledge about preconditions for implementing such programs in the hospital context is scarce. The purpose of this study was to explore program coordinators’ perspectives on implementing a transition program for newly graduated nurses.

An explorative qualitative study using individual interviews. Total of 11 program coordinators at five acute care hospital administrations in a south-west region in Sweden. Data was subjected to thematic analysis, using NVivo software to promote coding.

The following two themes were identified from the analysis: Create a shared responsibility for introducing newly graduated nurses, and establish legitimacy of the program. The implementation process was found to be a matter of both educational content and anchoring work in the hospital organization. To clarify the what and why of implementing a transition program, where the nurses learning processes are prioritized, was foundational prerequisites for successful implementation.

This paper illustrates that implementing transition programs in contemporary hospital care context is a valuable but complex process that involves conflicting priorities. A program that is well integrated in the organization, in which responsibilities between different levels and roles in the hospital organization, aims and expectations on the program are clarified, is important to achieve the intentions of effective transition to practice. Joint actions need to be taken by healthcare policymakers, hospitals and ward managers, and educational institutions to support the implementation of transition programs as a long-term strategy for nurses entering hospital care.

We build on the transactional model of stress and coping and the appraisal theory of emotions to theorize how users cognitively and emotionally cope with IT addiction-induced stress, distinguish between the roles of guilt and shame in shaping the coping responses and their effects on one’s psychological well-being.

We test our theory via two complementary empirical studies in the context of social networking sites (SNS). Study 1 (n = 462) adopts a variable-centered approach using structural equation modeling to validate the research model. Study 2 (n = 409) uses Latent Profile Analysis to identify a typology of SNS users based on Study 1’s findings.

This paper provides a model of guilt-vs shame-driven cognitive-emotional coping with IT addiction and its effects on users’ psychological well-being. It also offers a typology of SNS users on this basis.

This paper sheds light on guilt-vs shame-driven coping with IT addiction and its consequences on users’ psychological well-being and identifies distinct classes of users based on their coping choices and their consequences.