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This paper aims to examine the complex balance between enthusiasm and skepticism regarding artificial intelligence (AI) integration in educational practices. It advocates for a cautious, evidence-based approach while addressing both opportunities and challenges, aligning with the United Nations Sustainable Development Goal 4 (SDG4) for Quality Education.

Through critical analysis of current discourse surrounding AI in education, this paper synthesizes existing literature on both supportive and skeptical perspectives. The methodology involves systematic examination of past educational technology trends, current AI developments and their implications for teaching and learning. The paper develops its research agenda through careful consideration of existing empirical studies, theoretical frameworks and identifying gaps in current understanding.

The analysis reveals that while AI offers promising potential for enhancing learning outcomes and educational accessibility, its integration presents significant challenges that require careful consideration. The paper identifies critical tensions between technological innovation and pedagogical values, highlighting areas where enthusiasm for AI adoption must be tempered with empirical evidence and critical evaluation. Current evidence suggests that successful AI integration requires balanced consideration of both opportunities and limitations, with particular attention to maintaining human-centered educational practices.

This viewpoint provides a comprehensive framework for understanding the dialectic between AI’s educational potential and its limitations. By synthesizing both supportive and critical perspectives, it offers a nuanced approach to AI integration that acknowledges both opportunities and challenges. The article’s value lies in its systematic identification of key research priorities and its emphasis on evidence-based implementation strategies that serve educational goals while mitigating potential risks.

Following the imperative for human-centric digital innovation brought by the paradigm of Industry 5.0, the article aims to integrate the dispersed and multi-disciplinary literature on individual risks for workers to define, explain and predict individual risks related to Industry 4.0 technologies.

The paper follows the question, “What is the current knowledge and evidence base concerning risks related to Industry 4.0 technologies, and how can this inform digital innovation management in the manufacturing sector through the lens of the Industry 5.0 paradigm?” and uses the method of systematic literature review to identify and discuss potential risks for individuals associated with digital innovation. N = 51 contributions met the inclusion criteria.

The literature review indicates dominant trends and significant gaps in understanding risks from a human-centric perspective. The paper identifies individual risks, their interplay with different technologies and their antecedents at the social, organizational and individual levels. Despite this, the paper shows how the literature concentrates in studying risks on only a limited number of categories and/or concepts. Moreover, there is a lack of consensus in the theoretical and conceptual frameworks. The paper concludes by illustrating an initial understanding of digital innovation via a human-centered perspective on psychological risks.

Findings yield practical implications. In investing in the adoption, generation or recombination of new digital technologies in organizations, the paper recommends managers ensure to prevent risks at the individual level. Accordingly, the study’s findings can be used as a common starting point for extending the repertoire of managerial practices and interventions and realizing human-centric innovation.

Following the paradigm of Industry 5.0, the paper offers a holistic view of risks that incorporates the central role of the worker as crucial to the success of digital innovation. This human-centric perspective serves to inform the managerial field about important factors in risk management that can result in more effective targeted interventions in risk mitigation approaches. Lastly, it can serve to reinterpret digital innovation management and propose future avenues of research on risk.

This study aims to propose a comprehensive framework for assessing circular economy (CE) performance in the agri-food sector. It identifies those indicators that should be used to measure circularity regarding CE strategies, applies them at a microeconomic level and examines the impact of key business determinants (financial, internalization, knowledge, awareness and digitalization).

A literature review was conducted with a focus on CE strategies and related indicators. The framework obtained is applied on a Spanish agri-food sector survey to provide an empirical CE analysis at firm level. A partial least squares based-structural equation modelling method is applied.

The research suggests a set of circularity indicators to assess CE strategies at micro level. The findings reveal the heterogeneity of CE sub-indicators related to narrowing, slowing, closing and regenerating strategies. It also highlights the strong effects that the drivers tested have on CE, especially awareness and knowledge.

This study provides a framework that can guide public policies and business decisions in sectors with significant environmental impacts. It provides a conceptual framework that explains which CE indicators should be considered by governments and regulators when developing policies that seek to promote circular strategies.

In the case of companies, the results show that acquiring more environmental awareness and knowledge is essential for promoting more sustainable work habits that enhance CE.

The paper offers a novel contribution to the CE literature by introducing a multidimensional indicator framework comprehensively applied to the agri-food sector, integrating miscellaneous pillars of circular strategies and business determinants.

Urbanization in Sub-Saharan Africa (SSA) has seen rapid growth in recent decades, resulting in significant changes to the region’s landscape and ecosystems, including wetlands. This study aims to examine the causes and effects of urbanization on wetlands. This study lays down the need to intervene to protect and restore wetlands in SSA.

The methodology used was a systematic literature review, supported by the VOSviewer software and the preferred reporting items for systematic reviews criteria, with data analyzed using abductive reasoning and content analysis.

This study found that a complex web of factors reflecting regional and global trends propels urbanization in Sub-Saharan Africa. Urbanization is driven by population growth, economic development, infrastructure development and migration, leading to significant changes in the region’s ecosystems. The key effects include biodiversity loss, flooding and altered hydrology, water quality degradation and loss of livelihood. The study identifies sprawling urbanization, densification, informal settlement, fragmented urbanization and planned urban expansion as patterns of urbanization affecting wetlands.

This study offers practical recommendations for policymakers, planners and local communities to ensure long-term urban sustainability while conserving wetland ecosystems in SSA. Thus, there is a need for continued cooperation, technology and discovery sharing, and cooperative research funding initiatives with the global community. It also commends implementing green infrastructure, like artificial wetlands, to mitigate the adverse environmental effects and promote sustainable development.

This study used VOSviewer software visualization to uncover structural trends and research frontiers, focusing on wetland conservation in the context of urban areas in SSA, where rapid urbanization adds to wetland degradation.

This paper aims to provide a historical perspective on the beginnings of racial inequality by analysing the changing citizenship identity of migrant Indian Tamils in post-colonial Sri Lanka (1948–2003), and the role accounting plays in constructing them as stateless non-citizens.

The paper presents a genealogy of the biopolitical governing of migrant Indian Tamils, drawing on government archives, census data and interviews with retired government officials.

This study shows how accounting plays a supplementary role in providing the state with an account of its population through practices of naming, counting and valuing. These practices also create Indian Tamil migrants as new objects of knowledge using their non-citizenship and racial identity. Government accounting of the everyday life (bios) of these non-citizens (births, deaths, education and wage rates) provided yearly evidence of the social and economic disparities between Sri Lankan citizens and the stateless Indian Tamils who lived predominantly on plantation estates.

This paper enhances our understanding of how current racial dynamics are linked to historical economic, social and political forces and shows the long-term consequences of racial inequality related to statelessness.

This paper aims to apply a socio-ecological systems framework to demonstrate that pastoral adaptation to climate change necessitates a comprehensive approach.

The authors evaluated the depth of knowledge regarding pastoral adaptation in Africa using bibliometric and content-based analyses.

The analysis of 40 eligible articles, conducted through R Studio, revealed a significant emphasis on climate change adaptation measures. However, there was a noticeable scarcity of research on the role of governance, policy and institutional interventions.

The scope of the research is limited to the African continent.

This research shed light on how inadequate governance structures and insufficient institutional support, particularly in terms of skills and capacity-building, hinder pastoral communities’ resilience. These limitations may potentially affect pastoral livelihoods adversely, with severe consequences for food security and poverty levels in Africa.

A comprehensive understanding of the challenges pastoralists face in Africa to adapt to climate change will assist in defining high-level policies and interventions to improve pastoral communities’ adaptation actions.

The study used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses approach to ensure a thorough and systematic investigation. Furthermore, using an established framework and clearly defined methods will greatly aid in replicating the research.

The circular economy (CE) has been endorsed as representing a model that is able to achieve environmental protection through decreased use of raw materials, together with changing economic values and social inclusion thanks to its demand for a wide variety of skill profiles. This has motivated many policy initiatives to support the implementation of the CE. The purpose of this study is to follow such policy initiatives in three geographically anchored industry-specific networks.

The study contributes to the research debate on the CE through a spatial approach with a focus on how the implementation of the CE is conditioned by spatial and regional contexts. The authors investigate three different networks in Sweden for CE with different locations and industrial profiles.

The findings reveal the difficulty that exist in relation to the implementation of the CE. The network and support functions in combination with private industry are vital. The risk of sustaining an uneven regional economic development is evident.

Although research on the development of the CE has proliferated, geographical approaches to this development are comparably rare to date. The authors seek to contextualise the strategy development and policy implementation of a CE policy.

With recent advances in artificial intelligence, the hospitality industry has introduced the concept of unmanned smart hotels staffed by service robots instead of human employees. Research is needed to understand consumers’ receptivity to such an innovation. This paper examines factors associated with consumers’ potential resistance to using automated service hotels via two sequential studies. Given that younger generations of consumers are typically early adopters of advanced technology and innovative services, our sampling approach focused on this consumer group.

Two studies were conducted. Study 1 proposed and empirically tested a theoretical model. Results revealed that attitude, subjective norms and perceived behavioral control each positively influenced individuals’ intentions to use unmanned smart hotels. In Study 2, we further investigated aspects informing perceived security, a key variable in the use of unmanned smart hotels.

Findings showed how people’s beliefs about unmanned smart hotels and security control assurances led to perceived security. These perceptions were shaped by perceived physical risks, privacy concerns, website design and hotel reputation. Overall, this research provides theoretical and practical implications for various stakeholders associated with unmanned smart hotels.

Findings of this study suggested that managers of unmanned smart hotels should design user-friendly, secure processes and offer comprehensive support resources to enhance customer experience and usage.

The findings provide a holistic understanding of consumers’ receptivity to unmanned smart hotels.

While innovative building materials (IBM) have emerged as a promising solution for addressing the global construction industry’s environmental, economic and social challenges, their adoption is plagued with increasing challenges in the Nigerian construction industry (NCI). To provide practical strategies to overcome the present IBM challenges in the NCI, the barriers that hinder its successful adoption need detailed investigation. Consequently, this study examines the barriers that affect the adoption of IBM for sustainable construction (SC) in the NCI.

A quantitative research approach was used to obtain primary data from 282 construction professionals, viz. architects, builders, engineers and quantity surveyors, via a closed-ended questionnaire survey. Data were analysed using a mean item score (descriptive analysis) and exploratory factor analysis (inferential analysis).

The study revealed the top five most significant barriers to IBM adoption in the NCI. These barriers include lack of awareness and knowledge, learning/training period, cost and economic viability, lack of qualified staff and lack of end-user involvement. Factor analysis revealed five components of barriers: resource and policy-related barriers, perception and cultural-related barriers, organisational-related barriers, awareness and market-related barriers and resistance and stakeholder engagement-related barriers.

The findings of this study have several practical implications for construction professionals, policymakers and other stakeholders in Nigeria. The study highlights the need for increased awareness and technical expertise to promote the adoption of IBM in the NCI. The study also recommends several practical strategies for overcoming the barriers to IBM adoption and promoting SC practices in Nigeria, such as fostering a positive perception of sustainable concepts, fostering stakeholder support and involvement and promoting a more conducive environment for adopting sustainable practices. The implication of this study transcends the local context, offering a model for other countries to consider, thereby contributing to a global shift towards sustainable construction practices.

The findings highlight the critical role of societal attitudes and awareness in adopting IBM, suggesting the need for educational and awareness programmes to shift public and organisational perception. This shows the importance of cultural change and societal readiness to embrace sustainable construction practices.

This study contributes significantly to knowledge of the barriers to adopting IBM for SC in NCI. Findings from the study will inform policymakers, industry professionals and other stakeholders about the key barriers that require attention and intervention, facilitating the initiatives to overcome these barriers effectively.

Automated social media messaging tactics can undermine trust in health institutions and public health advice. As such, we examine automated software programs (ASPs) and social bots in the Twitter anti-vaccine discourse before and after the release of COVID-19 vaccines.

We compare two Twitter datasets comprising user accounts and associated English-language tweets featuring the keywords “#antivaxx” or “anti-vaxx.” The first dataset, from 2018 (pre-COVID vaccine), includes 3,154 user accounts and 6,380 tweets. The second comprises 327,067 accounts and 545,268 tweets published during the 12 months following December 1, 2020 (post-COVID vaccine). Using Information Laundering Theory (ILT), the datasets were examined manually and through user analytics and machine learning to identify activity, visibility, verification status, vaccine position, and ASP or bot technology use.

The post-COVID vaccine dataset showed an increase in highly probable bot accounts (31.09%) and anti-vaccine accounts. However, both datasets were dominated by pro-vaccine accounts; most highly active (59%) and highly visible (50%) accounts classified as probable bots were pro-vaccine.

This research is the first to compare bot behaviors in the “#antivaxx” discourse before and after the release of COVID-19 vaccines. The prevalence of mostly benevolent probable bot accounts suggests a potential overstatement of the threat posed by anti-vaccine accounts using ASPs or bot technologies. By highlighting bots as intermediaries that disseminate both pro- and anti-vaccine content, we extend ILT by identifying a benevolent variant and offering insights into bots as “pathways” to generating mainstream information.