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Introduction: Numerous decision-making situations are faced in education where Artificial Intelligence may be prevalent as a decision-making support tool to capture streams of learners’ behaviours.

Purpose: The purpose of the present study is to understand the role of AI in student performance assessment and explore the future role of AI in educational performance assessment.

Scope: The study tries to understand the adaptability of AI in the education sector for supporting the educator in automating assessment. It supports the educator to concentrate on core teaching-learning activities.

Objectives: To understand the AI adaption for educational assessment, the positives and negatives of confidential data collections, and challenges for implementation from the view of various stakeholders.

Methodology: The study is conceptual, and information has been collected from sources comprised of expert interactions, research publications, survey and Industry reports.

Findings: The use of AI in student performance assessment has helped in early predictions for the activities to be adopted by educators. Results of AI evaluations give the data that may be combined and understood to create visuals.

Research Implications: AI-based analytics helps in fast decision-making and adapting the teaching curriculum’s fast-changing industry needs. Students’ abilities, such as participation and resilience, and qualities, such as confidence and drive, may be appraised using AI assessment systems.

Theoretical Implication: Artificial intelligence-based evaluation gives instructors, students, and parents a continuous opinion on how students learn, the help they require, and their progress towards their learning objectives.

Current research on mental health in the construction industry is fragmented, making it difficult to obtain a complete picture of young construction workers’ mental health conditions. This situation adversely affects research progress, mental health-care planning and resource allocation. To address this challenge, the purpose of this paper was to identify the themes of mental health conditions among young construction workers and their prevalence by geographical location.

The scoping review was conducted using meta-aggregation, guided by the CoCoPop (condition [mental health], context [construction industry] and population [construction workers 35 years old and younger]) and PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews) frameworks.

A total of 327 studies were retrieved, and 14 studies published between 1993 and 2022 met the inclusion criteria. The authors identified 13 mental health conditions and categorized them under nine themes. Mood disorders, anxiety disorders and substance-related disorders constituted the most researched themes. Studies predominantly focused on young male workers in the Global North. The prevalence estimates reported in most of the studies were above the respective country’s prevalence.

This review extends previous studies by focusing specifically on the themes of mental health conditions and giving attention to young construction workers whose health needs remain a global priority. The study emphasizes the need to give research attention to lesser-studied aspects of mental health, such as positive mental health. The need to focus on female construction workers and on homogenous sub-groups of young workers is also emphasized. The findings can guide future systematic reviews on the identified thematic areas and help to plan the development of interventions.

There are significantly fewer women than men in managerial positions, mainly project management. This problem is noticeable in the construction and engineering sectors, traditionally male-dominated industries with leadership much dependent on masculine qualities. This study examines the obstacles to the career progression of professional female project managers (PFPMs) in the Ghanaian construction industry.

Twenty potential obstacles to women's career progression in the construction industry were identified from a comprehensive review of the literature. A questionnaire was prepared and administered among eighty project managers who work in large construction firms in Ghana. Data obtained were analysed using one sample t-test, Kendall's concordance test, Chi-square test and exploratory factor analysis.

The findings suggest the significance of all the twenty factors as potential obstacles to the career progression of PFPMs. The exploratory factor analysis identified five underlying grouped obstacles: “leadership and human capital related issues”, “issues related to discrimination of all forms”, “career aspiration and planning issues”, “female related role conflicts”, and “recruitment and selection issues”.

The subjective nature of the views of the respondents could influence the evaluation of the obstacles. With this study only exploring the dimensions underlying the significant obstacles, future studies could examine the interrelationships between the various obstacles and move on to determine their impacts on the career progression of professional female PMs as well.

Having an in-depth understanding of these obstacles, stakeholders and other industry practitioners in Ghana could make informed decisions on measures to put in place to address some of these critical issues to raise the standard of professional female PMs in the construction industry. Policymakers and gender advocates in Ghana could also take up some of the critical obstacles identified and provide suitable strategies to educate and create the needed awareness of the industry on those obstacles. Practically, the findings from this study can be valuable for informing decision-making at different management levels in the construction industry.

With country-specific (Ghana) obstacles identified, the findings significantly contribute to the literature on the career advancement of females in the construction sector.

The purpose of this study is to examine the effect of perceived value of recommended product on consumer’s e-loyalty, based on the proposition of expectation confirmation theory. Vendors’ reputation is tested as the mediator in the perceived value of recommended product and e-loyalty relationship, whereas shopping enjoyment is predicted as the moderator that conditions the perceived value of recommended product and e-loyalty relationship through vendors reputation.

Data were collected via an online survey platform and through a QR code. Partial least squares analysis, confirmatory factor analysis and structural equation modeling were used to verify the research proposed model.

The findings revealed that the perceived value of recommended product had a significant positive effect on E-loyalty; in addition, the perceived value of the recommended product and e-loyalty link was partly explained by e-shopper’s confidence in vendor reputation. Therefore, the study established that the direct and indirect relationship between the perceived value of the recommended product and e-loyalty was sensitive and profound to shopping enjoyment.

This study has established that the perceived value of a recommended product can result in consumer loyalty. This has successively provided the e-shop manager and other stakeholders with novel perspectives about why it is necessary to understand consumers’ pre- and postacquisition behavior before recommending certain products to the consumer.

Despite the ability of podcasts to bring free quality content to the masses, studies found that podcast consumption have been identified mostly with the elite class, thus increasing knowledge gaps and digital divides. This study aims to examine whether this trend extends to non-elitist podcast genres by providing the first analysis of sport podcast demographics and uses and gratifications.

A survey was conducted among Israel’s three most popular sport podcast listeners (N = 503), examining the listeners’ demographics, consumption patterns and uses and gratifications driving them to listen to the podcast.

The analysis reveals that most listeners are secular millennials males with above average income, highlighting the elitist nature of sport podcast consumers. The analysis further revealed that information-rich groups were more likely to tune in for information acquisition whereas other groups used it more for entertainment and escapist purposes.

For policy makers and educators who wish to promote podcast-based initiatives to narrow social gaps, the analysis strengthens the notion that the podcast platform mostly attracts those who are already information rich and thus increase knowledge gaps and digital divides. For sport broadcasters, the analysis illuminates sport podcasts audiences’ demographics and their uses of the platform.

The study reflects that the podcast platform is identified with elitist listening even in non-elitist genres; thus it further increases the already wide knowledge gap and digital divides promoted by the advent of the podcast platform.

The study is the first to highlight the elitist nature of sport podcast listeners’ demographics, indicating that the podcast platform increases the knowledge gap also even across non-elitist content genres such as sport content.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-12-2021-0684

This study aimed to characterize the concentrations of indoor pollutants (such as carbon dioxide (CO₂), ozone (O₃), nitrogen dioxide (NO₂) and sulfur dioxide (SO₂), as well as particulate matter (PM) (PM₁, PM_2.5 and PM₁₀) in Akure, Nigeria, as well as the relationship between the parameters’ concentrations.

The evaluation, which lasted four months, used a low-cost air sensor that was positioned two meters above the ground. All sensor procedures were correctly carried out.

CO₂ (430.34 ppm), NO₂ (93.31 ppb), O₃ (19.94 ppb), SO₂ (40.87 ppb), PM₁ (29.31 µg/m3), PM_2.5 (43.56 µg/m³), PM₁₀ (50.70 µg/m³), temperature (32.4°C) and relative humidity (50.53%) were the average values obtained. The Pearson correlation depicted the relationships between the pollutants and weather factors. With the exception of April, which had significant SO₂ (18%) and low PM₁₀ (49%) contributions, NO₂ and PM₁₀ were the most common pollutants in all of the months. The mean air quality index (AQI) for NO₂ indicated that the AQI was “moderate” (51–100). In contrast to SO₂, whose AQI ranged from “moderate” to “very unhealthy,” O₃'s AQI ranged from “good” (50) to “unhealthy” (151–200). Since PM₁, PM_2.5 and PM₁₀ made up the majority of PC1’s contribution, both PM_2.5 and PM₁₀ were deemed “hazardous.”

The practical implication of indoor air pollution is long-term health effects, including heart disease, lung cancer and respiratory diseases such as emphysema. Indoor air pollution can also cause long-term damage to people’s nerves, brain, kidneys, liver and other organs.

Lack of literature in terms of indoor air quality (IAQ) in Akure, Ondo State. With this work, the information obtained will assist all stakeholders in policy formulation and implementation. Again, the low-cost sensor used is new to this part of the world.

This study aims to identify the most significant barriers and the stationary barrier to modular construction (MC) implementation and promote MC widespread use. By doing so, the construction industry can leverage the benefits of MC, such as faster construction times, improved quality control, reduced waste and increased sustainability.

This study uses a Gini’s mean analysis approach to identify the stationary barriers hindering the MC adoption in residential projects. The research focuses on the Egyptian context and uses a questionnaire survey to gather data from professionals in the construction industry.

According to the survey findings, the top five significant MC barriers are inability to modify the design; contractors asking for high bidding prices (higher initial cost); scepticism, conservation and resistance of clients to innovation and change; transportation restrictions; and lack of a one-size-fits-all tool for the design. In addition, Gini’s mean of dispersion demonstrated that the stationary barrier that faces MC adoption is the apprehension that architectural creativity will suffer because of MC.

The identified obstacles could be useful for decision makers in countries that have not yet adopted MC and may aid in the planning process to manage the risks associated with MC projects. The paper stresses the significance of devising techniques to overcome these barriers and proposes several methods to tackle these challenges.

This study fills the knowledge gap by identifying the stationary barrier and emphasising the potential risks associated with MC barriers. Furthermore, it suggests several strategies for overcoming and reducing these barriers in developing countries residential projects.

Modern businesses strategically focus on improving the online purchase experience (OPE) of customers to acquire a long-term competitive edge. However, the intellectual knowledge structure of OPE research remains uncharted, necessitating further investigation. This study aims to provide a concise synthesis of the evolution, trends and advancements of consumers’ OPE research using bibliometrics.

Firstly, the authors inventorised the relevant OPE literature, and then the bibliometric trends and the domain’s performance (top articles, outlets and authors) were analysed and illustrated through tables and narratives. Secondly, science mapping tools (such as co-occurrence) and visualisation strategy were deployed to pinpoint relevant OPE research themes and highlight the domain’s intellectual structure.

The most significant findings concern the most prolific authors, outlets, most cited articles and five thematic clusters forming the ground for potential future research paths. Also, these thematic clusters depicted the intellectual knowledge structure that emerged from the OPE research domain.

This review may be helpful for future academic researchers to identify future research paths in the domain and practitioners to help make policy decisions while formulating and articulating their marketing strategy.

Deploying the VOSviewer and Bibliometrix-R software together, this review is most likely the first attempt to the best of the authors’ knowledge to provide a thorough bibliometric synthesis of the OPE research domain.

This study investigated the relationship between last-mile distribution or delivery (LMD) and commodity access through the mediating role of commodity availability and commodity security and the moderating effect of supply chain integration (SCI).

The study adopted the survey research design and employed the questionnaire instrument in collecting primary data from respondents in Eastern Regional Health Institutions in Ghana. The total number of valid responses received was 204. The partial least squares structural equation modeling (PLS-SEM) approach was adopted to analyze the relationship between the study variables.

The findings showed that there is a positive and significant relationship between LMD and commodity availability as well as LMD and commodity security. Moreover, while the relationship between commodity availability and commodity access is positive and significant, that between commodity security and commodity access is positive but insignificant. Furthermore, there is a positive and statistically significant relationship between LMD and commodity access. The study discovered that the interaction between LMD and commodity access is insignificant and negatively affected by SCI.

To the best of the authors' knowledge, no previous studies have empirically verified the effect of LMD on commodity access in the presence of mediating factors such as commodity availability and commodity security and SCI as the moderating factors.

The construction industry has been traditionally referred to as slow when it comes to technological transformation. This study aims to investigate and present a scorecard of the construction industry in the past decade, the paper adopted Bibliometrics. The study identified the various digital transformation (DT) aspects in the construction industry and future research directions are also identified.

To achieve the aim of this research, an inductive approach was adopted through a grounded theory strategy. Secondary data was retrieved from the Scopus database and analysed using Biblioshiny and VOSviewer. The data was retrieved through specific keywords related to the study focus.

The study also proposed a balanced flow model for DT discussion in the construction industry. DT in the construction industry disrupts every aspect of the industry, albeit at different rates due to the existing barriers; hence, the study identified areas that require further research. It, thus, provides a theoretical and practical basis for researchers and practitioners alike.

The study reviewed the DT research discuss in the construction industry. It is worthy of note that this is the first study that analyses the DT of the construction industry in the past decade.