bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessing risk dimensions in dry port projects: prioritization, interdependence and heterogeneity
Authors: Rodrigues Thiago de Almeida , Ojiako Udechukwu , Mota Caroline Maria de Miranda , Marshall Alasdair , Chipulu Maxwell , Dweiri Fikri 
Published: July 2024

PurposeWe identify and further aggregate the most commonly engaged risk factors in dry port projects into dimensions. Noting the importance of developing a multi-perspective view of risk, we further assess the priority, interdependency and heterogeneity of the identified risk dimensions.Design/methodology/approachWe identified 44 risk factors from the literature, which were aggregated via exploratory factor analysis (EFA) into 8 major risk dimensions. We employ a fuzzy-based decision-making trial and evaluation laboratory (DEMATEL) relationship map to articulate various relationships among the risk dimensions.Findings“Cost” emerged as the most important risk influencing the success of the dry port project, followed by “location,” “accessibility,” “infrastructural” and “operational,” which were also ranked prominently.Originality/valueThis study offers significant insights into the management of risk in dry port projects. By aggregating key risk factors into distinct dimensions, we develop a structured framework for effective risk assessment and management. The insights gleaned from the study extend globally as it serves as a concrete knowledge base to understand potential barriers to successful dry port projects.
Personal factors and innovative training as influential elements in the intrapreneurial trend
Authors: Blanco González Tejero Cristina , Ulrich Klaus , Ribeiro-Navarrete Samuel 
Published: July 2024

PurposeOrganizational sustainability in the changing market requires adequate management of resources and opportunities; thus, entrepreneurship and digitization have acquired special relevance as key elements in the training programs offered for employee’s development. In order to analyze whether employee motivations influence corporate entrepreneurial development and consider the influence of this type of training program on intrapreneurial activity, a survey of 241 small and medium-sized enterprises (SMEs) in the Community of Madrid was carried out.Design/methodology/approachThe analysis was conducted using the fuzzy set qualitative comparative analysis (fsQCA) methodology.FindingsThis analysis provides a new perspective for the research of the training programs proposed and puts forward recommendations to achieve an approach that favors entrepreneurial development. The paper concludes by discussing the implications for managers and business leaders and showing actions to integrate digitalization with transversal value for continuous and sustainable development.Originality/valueThe value of this article lies in demonstrating that training in entrepreneurial skills or digital tools is not a necessary variable for the presence of entrepreneurship in the organization; however, an absence of training in these areas does imply that intrapreneurial characteristics do not develop.
Sustainable practices and acceptance of water ionizers: a structural equation modeling approach
Authors: Pandey Saurabh , Aggrawal Deepti 
Published: July 2024

PurposeThis study examines and estimates the relationship among identified factors or determinants for the adoption of water ionizers by customers.Design/methodology/approachTo this end, the questionnaire is prepared to have the preferences of customers based on the factors or enablers identified for the analysis of customers' perceptions toward the adoption of water ionizers. Recipients are identified to collect their preferences for the factors responsible for the adoption. The convenience sampling method is used in administering the questionnaire for the study. The structural equation modeling (SEM) technique is used to construct the model for defining the relationship between measured and latent variables using the lavaan, haven, psych and semPlot libraries in R software.FindingsThe study reveals that product features, which include pH value, oxidation-reduction potential (ORP) and micro-clustering (MC), are influenced by environmental sustainability (ES), and as a result, product features and product outcomes (brand value (BV), customer recommendation (CR) and perceived usefulness (PU)) together influence the adoption of water ionizers by customers.Practical implicationsWater ionizers have appeared as consumer electronic appliances designed to alter the pH and ORP of water through an electrolysis process. There are proven benefits to improved water quality across different pHs for its health benefits (HB) and other commercial and household uses. The study recommends that potential HB perceived through water ionizers and product features, which are supported by ES, and helps customers decide on the adoption of water ionizers.Originality/valueThe study supports comprehending the relationships between consumer behavior, sustainable practices and innovative technologies like water ionizers as society places a greater emphasis on environmentally conscious living and sustainable living. This study aims to clarify the elements affecting the adoption and perception of water ionizers from a sustainability perspective through an extensive assessment of the literature and empirical analysis.
Institutions, social entrepreneurship, and individual economic well-being: an exploratory study
Authors: Aparicio Sebastian , Klofsten Magnus , Noguera Maria , Urbano David 
Published: July 2024

Purpose
This study aims to evaluate the influence of institutions on the probability of becoming a social entrepreneur and the effect of this choice on individual economic well-being. The authors also analyze the effects of gender (male versus female entrepreneurism) and type (traditional versus social entrepreneurism).

Design/methodology/approach
Institutional economics framed the analysis, and hypotheses were tested using two-stage probit least squares models in a sample of 69,236 individuals from 57 countries during the 2010–2014 wave from the World Values Survey.

Findings
The results showed that, for most variables, institutions significantly explained the probability of becoming a social entrepreneur. The analyses also indicated that social entrepreneurship is highly associated with individual economic well-being.

Originality/value
This research brings insights into the discussion of the social and economic benefits of socially oriented entrepreneurs. Likewise, the modeling approach overcomes the interplay between entrepreneurship and economic outcomes, in which institutions become key factors.
Determinants of stunting among children 6–23 months: a population-based study in Indonesia
Authors: Jokhu Lidya Alwina , Syauqy Ahmad , Lin Li-Yin , Dieny Fillah Fithra , Rahadiyanti Ayu 
Published: July 2024

Purpose
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.

Design/methodology/approach
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.

Findings
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).

Originality/value
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.
A conceptual analysis of artificial intelligence (AI) on academic opportunities and challenges: a case study based on higher educational institutions in Bangladesh
Authors: Tamanna Marzia , Sinha Bijaya 
Published: July 2024

Purpose
The purpose of this paper is to provide an in-depth analysis of the challenges associated with using artificial intelligence (AI) in academic research and suggest various preventive measures that can be taken to address these issues and transform them into opportunities.

Design/methodology/approach
To develop measurement items and constructs, the authors collected 248 responses through an online survey. These responses were then used to establish the structural model and determine discriminant validity through the use of structural equation modeling with SmartPLS 4.0.9.9. Additionally, the authors used SPSS (Version 29) to create graphs and visual representations of the challenges faced and the most commonly used AI tools. These techniques allowed them to explore data and draw meaningful conclusions for future research.

Findings
This research shows that AI has a positive impact on higher education, improving learning outcomes and data security. However, issues such as plagiarism and academic integrity can destroy students. The study highlights AI’s potential in education while emphasizing the need to address challenges.

Practical implications
This paper emphasizes the preventive measures to tackle academic challenges and suggests enhancing academic work.

Originality/value
This study examines how AI can be used to personalize learning and overcome challenges in this area. It emphasizes the importance of academic institutions in promoting academic integrity and transparency to prevent plagiarism. Additionally, the study stresses the need for technology advancement and exploration of new approaches to further improve personalized learning with AI.
Temperature and strain rate-dependent compression properties of 3D-printed PLA: an experimental and modeling analysis
Authors: Maheshwari Shrushti , Kumar Anand , Chaurasia Pyaarjeet Singh , Niranjan T. , Alam Zafar , Singh Sarthak S. 
Published: July 2024

Purpose
This study aims to investigate the compression characteristics of the 3D-printed polylactic acid (PLA) samples at temperatures below the glass transition temperature (Tg) with varying strain rates and develop a thermo-mechanical viscoplastic constitutive model to predict the finite strain compression response using a single set of material parameters. Also, the micro-mechanical damage processes are linked to the global stress–strain response at varied strain rates and temperatures through scanning electron microscopy (SEM).

Design/methodology/approach
Tg of PLA was determined using a dynamic mechanical analyzer. Compression experiments were conducted at strain rates of 2 × 10–3/s and 2 × 10–2/s at 25°C, 40°C and 50°C. The failure mechanisms were examined using SEM. A finite strain thermo-mechanical viscoplastic constitutive model was developed to analyze the deformations at the considered strain rates and temperatures.

Findings
Tg of PLA was determined as 55°C. While the yield and post-yield stresses drop with increasing temperature, their trend reverses with an increased strain rate. SEM imaging indicated plasticizing effects at higher temperatures, while filament fragmentation and twisting at higher strain rates were identified as the dominant failure mechanisms. Using a non-linear regression analysis to predict the experimental data, an overall R2 value of 0.98 was achieved between experimental and model prediction, implying the robustness of the model’s calibration.

Originality/value
In this study, a viscoplastic constitutive model was developed that considers the combined effect of temperature and strain rate for FDM-printed PLA experiencing extensive compression. Using appropriate temperature-dependent modulus and flow rate properties, a single set of model parameters predicted the rise in the gap between yield stress and degree of softening as strain rates and temperatures increased.
Determinants of work alienation among bank employees: a socioeconomic perspective
Authors: Singh Sabia , Randhawa Gurpreet 
Published: July 2024

Purpose
This study aims to identify various socioeconomic variables that influence the development of work alienation among Indian bank employees.

Design/methodology/approach
Data were collected from a sample of 552 employees working in ten public and ten private sector banks in Punjab. Statistical techniques such as the independent sample t-test, Welch’s F-test, and Games–Howell procedure were used for data analysis.

Findings
Results of this study indicated that socioeconomic variables, namely, age, educational qualification, monthly income, and work experience, significantly influence work alienation among bank employees. In contrast, gender, marital status, type of bank, and cadre did not have any significant relationship with work alienation.

Originality/value
This study is one of the limited research studies that has examined the linkage between socioeconomic variables and work alienation in the context of the banking sector of a developing nation like India.
Tree species diversity drives the land surface phenology of seasonally dry tropical woodlands
Authors: Godlee J. L. , Ryan C. M. , Siampale A. , Dexter K. G. 
Published: July 2024

Abstract

Seasonal foliage display (leaf phenology) is a key determinant of ecosystem function. Variation in land surface phenology, observed via space‐borne remote sensing, can be explained at broad spatial scales by climate, but we lack understanding of how vegetation structure and floristic diversity mediates these relationships. This lack of understanding hampers our ability to predict changes in phenology and therefore ecosystem function, in light of rapid ongoing shifts in biodiversity and ecosystem structure due to land use and climate change.

We combined a network of 619 vegetation monitoring sites across seasonally dry tropical deciduous woodlands in Zambia with land surface phenology metrics to investigate the role of tree species diversity, composition and vegetation structure on patterns of land surface phenology, including the phenomenon of pre‐rain green‐up.

Tree species diversity was associated with earlier pre‐rain green‐up, a longer growing season, and greater cumulative foliage production. Independent of diversity, proportional abundance of Detarioideae species (subfamily of Fabaceae) was associated with a longer growing season by facilitating earlier pre‐rain green‐up. Woodland stands with larger trees green up earlier, suggesting access to deep groundwater reserves. Senescence metrics showed variation among sites but were not well‐explained by precipitation, temperature, structure or diversity.

Synthesis: Tree diversity, composition and structure are co‐determinants of seasonal patterns of foliage display in seasonally dry tropical deciduous woodlands, as measured via land surface phenology, at regional scale. Our study identifies both a niche complementarity effect whereby diverse woodlands exhibit longer growing seasons, as well as a mass‐ratio effect whereby detarioid species drive earlier pre‐rain green‐up, providing insights into the mechanisms underlying the biodiversity ecosystem function relationship in this biome. We stress the importance of considering biotic controls on ecosystem functioning in the next generation of earth‐system models predicting the response of communities to global change.
Non‐routine mathematical problems and the strategies used by gifted students: A case study
Authors: García‐Moya Melody , Marcos Susana , Fernández‐Cézar Raquel 
Published: July 2024

AbstractMany gifted students fail to be diagnosed, preventing them from receiving an education that is adapted to their characteristics, with activities that challenge their minds. Mathematics is one of the subjects in which they can demonstrate talent, where they often exhibit high skills in solving problems, handling numbers and performing spatial representations. One of the contexts in which these characteristics can be addressed is the resolution of non‐routine problems. Thus, the purpose of this exploratory, observational and descriptive case study was to present a battery of challenging activities to a 10‐year‐old gifted student and identify the strategies he uses when solving non‐routine problems, with Pólya's method being used to guide him to reach one or more solutions. The results show that the activities proposed were challenging for the student, who used four strategies when solving the non‐routine problems, with partial goals being the most widely used in problems of visual discrimination, and the use of patterns being the most frequently leveraged in numerical skills problems. This study provides teachers with resources that foster motivation among talented students and address their needs.
Just Friends? Managers’ Connections to Judges
Authors: HUANG STERLING , ROYCHOWDHURY SUGATA , SLETTEN EWA , XU YANPING 
Published: July 2024

ABSTRACTWe study the impact of social connections between judges and executives on the outcomes of Securities Class Action Litigation (SCAL). Judges who are socially connected to a firm's executives are significantly more likely to dismiss lawsuits against the firm. There is also evidence of faster resolution and lower payout amounts in connected cases. The favorable outcomes cannot be explained by the lower severity of connected cases, or by court, judge, or firm characteristics. Our results are more pronounced when executives connected to the judge are named defendants in the lawsuits, when connected cases involve less visible lawsuits or firms, and when connections between judges and executives are likely more direct. Our evidence indicates that social connections influence judge impartiality and meaningfully alter SCAL outcomes.
Efficacy and tolerability of monoamine oxidase inhibitors for the treatment of depressive episodes in mood disorders: A systematic review and network meta‐analysis
Authors: Giménez‐Palomo Anna , Chamdal Anjli K. , Gottlieb Natalie , Lotfaliany Mojtaba , Jokinen Tahir , Bastawy Eslam M. , Adlington Katherine , Benachar Nawal , Dodd Seetal , Pacchiarotti Isabella , Vieta Eduard , Berk Michael , Stokes Paul R. A. 
Published: July 2024

AbstractBackgroundMonoamine oxidase inhibitors (MAOIs) are considered third‐line treatments for treatment resistant depression; however, they are underused in clinical practice.AimsThis study aimed to assess the efficacy, tolerability, and acceptability of MAOIs for the treatment of depression in comparison with other antidepressant treatments.MethodsA systematic review and network meta‐analysis of randomised clinical trials was performed to compare the efficacy, tolerability and acceptability between MAOIs and other antidepressant treatments for the treatment of depressive episodes.ResultsA total of 83 double‐blinded, randomised controlled trials were included in the analysis, with 7765 participants assigned to an active treatment and 1844 assigned to placebo. Several MAOIs, including isocarboxazid, phenelzine, tranylcypromine and moclobemide, showed significantly higher efficacy compared with placebo. The tolerability and acceptability of MAOIs was comparable to other antidepressants.LimitationsA disproportionate number of studies investigating the most commonly used MAOIs, such as moclobemide and phenelzine, and a lack of specific studies focusing on treatment‐resistant and atypical depression.ConclusionsMAOIs are similar in efficacy to other antidepressants for the treatment of depression. However, more studies are needed comparing MAOI treatment in people with treatment‐resistant, atypical and bipolar depression.
IL‐33 Signaling Inhibition Leads to a Preeclampsia‐Like Phenotype in Pregnant Rats
Authors: Wang Xi , Shields Corbin A. , Thompson Deanna , McKay Jie , Wilson Rachel , Robbins Marcus K. , Glenn Hannah , Fontenot Molly , Williams Jan M. , Cornelius Denise C. 
Published: July 2024

ABSTRACTProblemPreeclampsia (PE) is a hypertensive pregnancy disorder that is a leading cause of maternal and fetal morbidity and mortality characterized by maternal vascular dysfunction, oxidative stress, chronic immune activation, and excessive inflammation. No cure exists beyond delivery of the fetal–placental unit and the mechanisms driving pathophysiology are not fully understood. However, aberrant immune responses have been extensively characterized in clinical studies and shown to mediate PE pathophysiology in animal studies. One pathway that may mediate aberrant immune responses in PE is deficiencies in the IL‐33 signaling pathway. In this study, we aim to investigate the impact of IL‐33 signaling inhibition on cNK, TH17, and TReg populations, vascular function, and maternal blood pressure during pregnancy.Method of StudyIn this study, IL‐33 signaling was inhibited using two different methods: intraperitoneal administration of recombinant ST2 (which acts as a decoy receptor for IL‐33) and administration of a specific IL‐33 neutralizing antibody. Maternal blood pressure, uterine artery resistance index, renal and placental oxidative stress, cNK, TH17, and TReg populations, various cytokines, and pre‐proendothelin‐1 levels were measured.ResultsIL‐33 signaling inhibition increased maternal blood pressure, uterine artery resistance, placental and renal oxidative stress. IL‐33 signaling inhibition also increased placental cNK and TH17 and renal TH17 cells while decreasing placental TReg populations. IL‐33 neutralization increased circulating cNK and TH17s and decreased circulating TRegs in addition to increasing pre‐proendothelin‐1 levels.ConclusionsData presented in this study demonstrate a role for IL‐33 signaling in controlling vascular function and maternal blood pressure during pregnancy possibly by mediating innate and adaptive immune inflammatory responses, identifying the IL‐33 signaling pathway as a potential therapeutic target for managing preeclampsia.