bluuebunny/crossref_metadata_2025 huggingface dataset:
Virtual reality vs traditional previews: the role of self-construal in customer decision-making
Authors: Balaji M. S. , Jiang Yangyang , Dwivedi Yogesh K. , Behl Abhishek , Jain Kokil
Published: July 2024

Purpose

This paper aims to explore the effectiveness of 360-degree virtual reality (VR) videos compared to traditional preview modes in shaping customer perceptions and behavioral intentions toward the hospitality service provider. Specifically, the study investigates how self-construal moderates this relationship, offering novel and nuanced understanding of the customer decision-making process in the hospitality sector.

Design/methodology/approach

Three experiments were carried out. Study 1 examined the impact of preview modes on customers’ behavioral intentions. Study 2 examined the psychological mechanism of mental imagery and being hooked in the relationship between preview modes and behavioral intentions. Study 3 examined the moderating role of self-construal in the relationship between preview modes and behavioral intentions.

Findings

The study findings revealed that 360-degree VR videos are more effective than traditional preview modes in determining customers’ behavioral intentions. Mental imagery and being hooked explain this relationship. Furthermore, customers with highly independent self-construal evaluate 360-degree VR videos more favorably, while those with highly interdependent self-construal evaluate traditional preview modes more positively.

Practical implications

The research indicates that adopting VR applications can offer competitive advantage for hospitality service providers. The study findings provide hospitality providers with insights to tailor their marketing strategies by selecting preview modes that align with the psychological profiles of the customers.

Originality/value

The originality of the study lies in its pioneering efforts to explore how self-construal shapes customer responses to different preview modes. Furthermore, this study reveals the importance of psychological constructs in understanding the impact of VR applications on customer behaviors.
Significant sliding speed effect on the friction and wear behavior of UHMWPE matrix composites
Authors: Zhen Jinming , Zhen Congcong , Yuan Min , Liu Yingliang , Wang Li , Yuan Lin , Sun Yuhan , Zhang Xinyue , Yang Xiaoshu , Huang Haojian
Published: July 2024

Purpose

With the rapid development of the pipeline transportation and exploitation of mineral resources, it is urgent requirement for the high-performance polymer matrix composites with low friction and wear to meet the needs of solid material transportation. This paper aims to prepare high-performance ultrahigh molecular weight polyethylene (UHMWPE) matrix composites and investigate the effect of service condition on frictional behavior for composite.

Design/methodology/approach

In this study, UHMWPE matrix composites with different content of MoS2 were prepared and the tribological performance of the GCr15/composites friction pair in various sliding speeds (0.025–0.125 m/s) under dry friction conditions were studied by ball-on-disk tribology experiments.

Findings

Results show that the frictional behavior was shown to be sensitive to MoS2 concentration and sliding velocity. As the MoS2 content is 2 Wt.%, composites presented the best overall tribological performance. Besides, the friction coefficient fluctuates around 0.21 from 0.025 to 0.125 m/s sliding speed, while the wear rate increases gradually. Scanning electron microscopy images, energy-dispersive spectroscopy and Raman Spectrum analysis present that the main wear mechanisms were abrasive and fatigue wear.

Originality/value

The knowledge obtained herein will facilitate the design of UHMWPE matrix composites with promising self-lubrication performances which used in slag transport engineering field.
Study on milling surface quality of superalloy GH4145
Authors: Shi Jinfu , Gao Qi
Published: July 2024

Purpose

This study aims to reveal the influence of milling process parameters on the surface roughness and morphology of superalloy GH4145.The groove milling mechanism and surface quality influence factors of superalloy GH4145 were studied experimentally.

Design/methodology/approach

This paper provides investigations on three-dimensional finite element model (FEM) and simulation of milling process for GH4145.The milling experiment uses Taguchi L16 experimental design and single factor experimental design. The surface morphology of the workpiece was observed by scanning electron microscopy, and the influence mechanism of milling parameters on surface quality is expounded.

Findings

The results show that the cutting force increases by 133% with the increase in milling depth. The measured minimum surface roughness is 0.035 µm. With the change in milling depth, the surface roughness increases by 249%. With the change in cutting speed, the surface roughness increased by 54.8%. As the feed rate increases, the surface roughness increases by a maximum of 91.1%. The milling experiment verifies that the error between the predicted surface roughness and the actual value is less than 8%.

Originality/value

The milling experiment uses a Taguchi L16 experimental design and a single-factor experimental design. Mathematical models can be used in research as a contribution to current research. In addition, the milling cutter can be changed to further test this experiment. Reveal the influence of milling process parameters on the surface roughness and morphology of superalloy GH4145.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-03-2024-0080/
Impact of media antecedents on persistence and learning outcomes of MOOC learners
Authors: Cheng Yung-Ming
Published: July 2024

Purpose

The purpose of this study is to propose a research model based on the stimulus-organism-response (S-O-R) model to explore whether social media affordances and media richness as environmental stimuli to learners’ involvement elicited by massive open online courses (MOOCs) can affect their learning persistence in MOOCs and, in turn, their learning outcomes in MOOCs. This study further examines whether demographic variables can moderate the relationship between learners’ learning persistence in MOOCs and their learning outcomes.

Design/methodology/approach

Sample data for this study were collected from learners who had experience in taking MOOCs provided by the MOOCs platform launched by a well-known university in Taiwan, and 396 usable questionnaires were analyzed using structural equation modeling.

Findings

This study proved that learners’ perceived social media affordances and media richness in MOOCs positively influenced their cognitive involvement and affective involvement elicited by MOOCs, which concurrently expounded their learning persistence in MOOCs and, in turn, uplifted their learning outcomes in MOOCs. The results support all proposed hypotheses and the research model, respectively, explains 70.5% and 61.8% of the variance in learners’ learning persistence in MOOCs and learning outcomes. Besides, this study showed that learners’ usage experience moderated the relationship between learners’ learning persistence in MOOCs and their learning outcomes.

Originality/value

This study uses the S-O-R model as a theoretical groundwork to construct learners’ learning outcomes in MOOCs as a series of the psychological process, which is affected by social media affordances and media richness. Noteworthily, while the S-O-R model has been extensively used in previous literature, little research uses the S-O-R model to explain the media antecedents of learners’ learning persistence and learning outcomes in MOOCs. Hence, this study enriches the research for understanding how learners value their learning gains via using media features to support them in MOOCs.
Why some homicide investigations go cold: a study exploring the experiences of the investigative review process by UK detectives
Authors: Bennett Kirsty , Roach Jason
Published: July 2024

Purpose

The purpose of this study is to explore the review mechanisms’ efficacy from the perspective of cold case reviewers. Live homicide review mechanisms at the 7- and 28-day stage of an inquiry seek to prevent the case becoming cold (or unsolved) by ensuring lines of inquiry have been suitably identified and progressed. There is also a requirement to ensure the investigation was not swayed by faulty decision-making or cognitive biases. However, the use of the review processes in preventing unsolved cases is unclear, and not subject to much academic discussion.

Design/methodology/approach

This exploratory study explores the review functions through the lens of cold case detectives, currently reviewing unsolved cases to identify progression opportunities. The study uses data from a seven-month, non-participatory observation period with a two-force collaborative cold case unit and 13 semi-structured interviews with cold case review officers. The observations and interviews were simultaneously analysed adhering to an inductive approach to Thematic Analysis.

Findings

The results show procedural guides (e.g. the Major Crime Investigation Manual) are important quality assurance mechanisms for review officers, helping ensure the appropriate and necessary lines of inquiry have been pursued. However, they were keen to emphasise the importance of intuition in progressing cases but felt continuously hindered by a lack of resources and large numbers of applicable cases. To the best of the authors’ knowledge this study is the first exploration of cold case detective’s experiences of the live review processes and how they may pose challenges in case progression for cognitive errors and biases. While the study has identified some challenges facing review officers in nine police forces across the UK, wider examination of policies, practices and mechanisms should be explored to develop the current procedural guidance (e.g. NPCC, 2021).

Originality/value

To the best of the authors’ knowledge this exploratory study is the first exploration of cold case detective’s experiences of the live review processes and how they may pose challenges in case progression for cognitive errors and biases. While the study has identified some challenges facing review officers in nine police forces across the UK, wider examination of policies, practices and mechanisms should be explored to develop the current procedural guidance (e.g. NPCC, 2021).
Understanding female students’ entrepreneurial intentions: gender inequality perception as a barrier and perceived family support as a moderator
Authors: Vu Tuan Duong , Bui Lan Phuong , Vu Phuong Anh , Dang-Van Thac , Le Bao Ngoc , Nguyen Ninh
Published: July 2024

Purpose

This study aims to examine how entrepreneurial climate, gender inequality perception and self-efficacy affect female students’ entrepreneurial attitudes and intentions, with the moderating role of perceived family support.

Design/methodology/approach

This study collected data from 466 female students studying at universities in an emerging economy, i.e. Vietnam. This study assessed the proposed relationships between the examined variables using partial least squares structural equation modeling.

Findings

The results reveal that entrepreneurial climate, as a stimulus factor, significantly influences organism factors, including gender inequality perception, self-efficacy and attitude toward entrepreneurship. Furthermore, gender inequality perception is identified as a barrier to self-efficacy, attitude toward entrepreneurship and entrepreneurial intention. Also, self-efficacy positively influences attitudes toward entrepreneurship and both factors jointly predict entrepreneurial intention. Lastly, perceived family support moderates the relationships between entrepreneurial intention and its antecedents.

Originality/value

This study extends the extant knowledge about the factors affecting women’s entrepreneurial attitudes and behavior, especially in emerging economies. This study’s findings assist university managers, policymakers and researchers in developing effective strategies to reduce the adverse effects of gender inequality perception and promote women's entrepreneurial behavior.
Evolved leader behaviours for adopting lean and green in family firms: a longitudinal study in Indonesia
Authors: Puspani Nissa Syifa , Van Dun Desirée H. , Wilderom Celeste P. M.
Published: July 2024

Purpose

This longitudinal study focuses on the specific behaviours of both top and other leaders in family firms that are implementing lean and green practices in order to contribute to the sustainability transition.

Design/methodology/approach

Over the course of two years and two months, longitudinal comparative case research was carried out within two Indonesian family firms in the logistics and transportation business. Data were collected via of 86 interviews, 37 observed meetings within the firms and 12 work floor visits. The thematic analysis approach was based on the “fuller full-range theory of leadership”.

Findings

Over time, the leaders at various hierarchical levels learned to diversify their behavioural repertoire; solely exhibiting the transactional or transformational leadership style was not effective for employees’ adoption of lean and green practices. Instead, the leaders had to integrate the behaviours from the transactional, transformational and instrumental leadership styles.

Originality/value

This study explores the extension of leaders’ behaviours over time. Our findings result in two propositions that theoretically explain the evolved behaviours that steered the organisational transformation towards a lean and green firm. Given its context (i.e. Indonesian family-owned logistics firms), this study offers insights that might generalise to similar family firms in other Asian countries.
Toward an alternative history of commercial education in Latin America: lessons from the emergence of the first commercial school in 1820s Argentina
Authors: Passant Adrien Jean-Guy
Published: July 2024

Purpose

This paper aims to examine the creation of the first commercial school in early independent Argentina in 1826 – the Academy of Accountancy of Buenos Aires (AABA) – at the request of the Argentine Government, which entrusted its direction to French expatriate Amédée Brodart, who was considered an expert in commercial education.

Design/methodology/approach

This study adopts a microhistory approach based on individual biography and archival research. First, it investigated published biographies of contemporary political figures Brodart had been in contact with. Then, the Argentine archives of the Ministry of Finance and the Arturo Jauretche Museum of the Bank of the Province of Buenos Aires provided information on Brodart’s life during his expatriation to Latin America. Finally, the French Archives of the Paris National Library and ESCP Business School in Paris provided information on Brodart’s life before his departure for Argentina and after his final return to France. These primary sources include extracts from Brodart’s correspondence, financial ledgers, study plans and a few rare iconographic documents.

Findings

AABA was connected to a nationalist agenda: to develop Argentinian trade to overcome national underdevelopment and to counter political agitation in the country. However, the lack of local expertise in commercial education, as well as Argentine authorities’ desire to avoid depending on foreign powers, led them to call on a French expatriate rather than on a network of organizations to open this school.

Research limitations/implications

This paper contributes to the literature on the history of commercial education in Latin America and to the literature on the international transfer of commercial education models. This paper is also among the first to consider the origin story of Argentina’s relationship with commercial education.

Practical implications

This research offers new reflexive perspectives on the emergence of commercial education in Latin America by highlighting the agentivity of local actors.

Originality/value

Through a lens of dependency ambiguity, this paper repositions narratives of the development of commercial education in Latin America away from a Western-centric explanation, highlighting the role of local contextual actors. In doing so, it offers an alternative history of commercial education focused on Latin America.
Are there generalizable patterns in line extension performance?
Authors: Victory Kirsten , Tanusondjaja Arry , Dawes John , Nenycz-Thiel Magda , Romaniuk Jenni
Published: July 2024

Purpose

New product introductions, particularly line extensions (LEs), are common in consumer goods categories. Despite their commonality, the success of LEs are not guaranteed. The purpose of this study is to provide brands that introduce LEs a benchmark about what success to expect.

Design/methodology/approach

This study investigates the success of 36,994 LEs in each quarter for the first three years after introduction. Four indicators are calculated using consumer panel data to benchmark how long LEs survive (failure rate), how competitive they are in the category (market share) and how they are adopted by category buyers (penetration and repeat buyer rate).

Findings

Most LEs survive after the first year, but many cease to exist or perform well in the long term. Around 50% of LEs fail a year after launch, but this failure rate halves once seasonal LEs are removed. Failure rates start to approach 80% after three years. Most LEs do not perform better than existing products. Around three in four LEs have a market share or penetration near or below the category norm. Although this percentage decreases the longer after launch, most LEs are still below the category norm.

Practical implications

These new product success benchmarks provide guidelines to practitioners about what success the “typical” LE will achieve. This research can help guide new product investment decisions because it provides context on what is feasible to achieve.

Originality/value

Four market success measures are used, a departure from past benchmarking research which uses practitioner evaluation on metrics seldom used in practice. The authors provide guidelines about when and how to measure LE and new product success more broadly.
Achieving close psychological distance and experiential value in the MarTech servicescape: a mindfulness-oriented service perspective
Authors: Huang Tseng-Lung , Chung Henry F.L.
Published: July 2024

Purpose

Marketing Technology (Martech) is the cornerstone of creating digital experiences and interactive marketing, providing consumers with high experiential value. Drawing on the mindfulness theory, this study aims to explore how to achieve close psychological distance and experiential value in Martech servicescape (such as augmented reality [AR]).

Design/methodology/approach

We employed mixed methods research to clarify the research question. In Study 1, we conducted a systematic literature review of psychological closeness (PC) using a bibliographic coupling approach, identifying gaps in the research stream and discussing the research implications for the interactive marketing field. In Study 2, we used a task-based laboratory assessment to empirically verify our hypotheses and research framework. Two virtual try-on environments, AR and non-AR (e.g. traditional webpage browsing), were applied in a virtual fitting context. The two e-shopping environments were directly compared in terms of their moderating effects on the relationships among the mindfulness-oriented MarTech servicescape, PC and experiential value.

Findings

This study elucidates the antecedent of close psychological distance formation, indicating that the features of the mindfulness-oriented Martech servicescape – vivid sensory experience, consumer-focused shopping information and autonomous navigation, then result in creating experiential value. Moreover, this study also revealed that compared to a non-AR e-shopping environment, AR makes the better effect of the mindfulness-oriented Martech servicescape driving experiential marketing.

Originality/value

This study extends the research stream on mindfulness-oriented service to the Martech servicescape (e.g. AR try-on). In this way, this study’s findings will contribute to clarifying the interactive elements and design principles of mindfulness-oriented service in the Martech servicescape. By establishing the association between these three theoretical perspectives—mindfulness-oriented service research stream, construal level theory and experience economy paradigm—the study provides valuable insights into how Martech can enhance experiential marketing. Such research insights can help digital marketing managers shape appropriate Martech servicescape for effective experiential marketing.
Beginning of a new era: leveraging digital twin technology in the preservation of indigenous knowledge systems in the disruptive era
Authors: Adefila Emmanuel , Oladokun Bolaji David , Adewojo Akinade Adebowale
Published: July 2024

Purpose

This paper aims to explore digital twin technology in the preservation of indigenous knowledge system. It examines the benefits, challenges and future directions on leveraging digital twin technology in the preservation of indigenous knowledge system.

Design/methodology/approach

The study uses a literature review to analyze existing research on Leveraging digital twin technology in the preservation of indigenous knowledge systems. It synthesizes key findings and identifies trends, challenges and opportunities for further exploration.

Findings

Leveraging digital twin technology to preserve indigenous knowledge represents a significant step forward in safeguarding cultural diversity, promoting sustainable development and honoring the wisdom of indigenous communities.

Originality/value

This paper contributes to the preservation of indigenous knowledge system. It highlights the importance of considering emerging trends like the digital twin technology to preserve indigenous knowledge system.
Bothorship: AI chatbot authorship after two years
Authors: Lund Brady
Published: July 2024

Purpose

Bothorship – “bot authorship”, or the use of artificial intelligence tools to support writing activities - has transformed publishing in the few years since the emergence of ChatGPT in late 2022. The bane of the publisher’s existence, but a boon for writers, these tools support enhanced writing quality and reduce the amount of time and effort needed to turn research findings into an acceptable manuscript. This paper aims to discuss some of the key aspects of Bothorship as they have emerged in the past two years.

Design/methodology/approach

This paper explores recent publications and discourse surrounding artificial intelligence (AI) contributions to scholarly publications.

Findings

While there are substantial downsides to AI use in scholarly communications, there are also tremendous benefits. Bothorship can level the playing field for non-native English speakers having to navigate an arena (scholarly publishing) where English is the lingua franca.

Originality/value

This paper discusses key issues related to bothorship and AI contributions to publications. It reviews and presents a perspective on the future of AI authorship and copyediting for manuscripts.
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

Purpose

We 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/approach

We 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/value

This 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

Purpose

Organizational 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/approach

The analysis was conducted using the fuzzy set qualitative comparative analysis (fsQCA) methodology.

Findings

This 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/value

The 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

Purpose

This study examines and estimates the relationship among identified factors or determinants for the adoption of water ionizers by customers.

Design/methodology/approach

To 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.

Findings

The 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 implications

Water 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/value

The 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

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

Many 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

We 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

Background

Monoamine oxidase inhibitors (MAOIs) are considered third‐line treatments for treatment resistant depression; however, they are underused in clinical practice.

Aims

This study aimed to assess the efficacy, tolerability, and acceptability of MAOIs for the treatment of depression in comparison with other antidepressant treatments.

Methods

A 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.

Results

A 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.

Limitations

A 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.

Conclusions

MAOIs 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

Problem

Preeclampsia (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 Study

In 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.

Results

IL‐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.

Conclusions

Data 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.
Faecal biomarkers for diagnosis and prediction of disease course in treatment‐naïve patients with IBD
Authors: Ling Lundström Maria , Peterson Christer , Hedin Charlotte R. H. , Bergemalm Daniel , Lampinen Maria , Magnusson Maria K. , Keita Åsa V. , Kruse Robert , Lindqvist Carl Mårten , Repsilber Dirk , D'Amato Mauro , Hjortswang Henrik , Strid Hans ,   BIOIBD Consortium, Söderholm Johan D. , Öhman Lena , Venge Per , Halfvarson Jonas , Carlson Marie
Published: July 2024

Background

Faecal biomarkers can be used to assess inflammatory bowel disease (IBD).

Aim

To explore the performance of some promising biomarkers in diagnosing and predicting disease course in IBD.

Methods

We included 65 patients with treatment‐naïve, new‐onset Crohn's disease (CD), 90 with ulcerative colitis (UC), 67 symptomatic controls (SC) and 41 healthy controls (HC) in this prospective observational study. We analysed faecal samples for calprotectin (FC), myeloperoxidase (MPO), human neutrophil lipocalin (HNL), eosinophil cationic protein ECP and eosinophil‐derived neurotoxin (EDN) and compared markers among groups. We assessed the diagnostic capability of biomarkers with receiver operating characteristic curves. Clinical disease course was determined for each patient with IBD and analysed the association with biomarkers by logistic regression.

Results

All markers were elevated at inclusion in patients with IBD compared with HC (p < 0.001) and SC (p < 0.001). FC (AUC 0.85, 95% CI: 0.79–0.89) and MPO (AUC 0.85, 95% CI: 0.80–0.89) showed the highest diagnostic accuracy in distinguishing IBD from SC. The diagnostic ability of biomarkers differed between IBD subtypes with the highest performance for FC and MPO in CD. The diagnostic accuracy was further improved by combining FC and MPO (p = 0.02). Levels of FC, MPO and HNL at inclusion were predictive of an aggressive disease course with MPO showing the strongest association (p = 0.006).

Conclusions

This study provides new insight into the diagnostic and prognostic capability of neutrophil and eosinophil biomarkers in IBD and suggests that MPO, alone or in combination with FC, may add to the diagnostic power of faecal biomarkers.