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Computing seepage discharge in earth dams involves inherent complexities and challenges that require the use of probabilistic algorithms to accurately capture their uncertain characteristics and identify optimal solutions. This study aims to investigate the impact of uncertainty in seepage flow estimation using a novel hybrid approach, combining the analysis of Laplacian equations with the probabilistic finite element method (PFEM) and a metaheuristic algorithm.

To achieve this purpose, a finite element-based FORTRAN program was developed to model the problem using the Galerkin finite element method, which was validated using laboratory findings. Subsequently, Monte Carlo loops were incorporated into each model, consisting of 2000 iterations and the probability distribution function and cumulative distribution function were computed for each sub-model. A total of 138 earth dams were analysed to investigate the influence of different characteristics on seepage, including variations in dam geometry, soil permeability and water levels (both downstream and upstream). Effective seepage flow (ESF), was introduced in both deterministic and probabilistic models.

The findings indicated that the downstream slope has a more significant impact on ESF than the upstream slope, with a difference of 1.29%. Additionally, the ratio of dam height to bottom width (H/B) directly affects the ESF, resulting in a 20% increase in ESF for every 16% increase in H/B.

This study introduces a novel hybrid approach for estimating seepage flow in earth dams by integrating the Unlike traditional deterministic models, which often overlook the inherent .PFEM with a metaheuristic algorithman advanced uncertainties in seepage characteristics, this research effectively captures these uncertainties throughprobabilistic framework.

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.

This study aims to examine Africa’s environment, social and governance (ESG) research through a systematic literature review (SLR). The authors aim to identify and discuss influential aspects of ESG accounting in Africa, focusing on prominent themes, authors and journals in published articles using Africa’s setting. It also constructs agendas for future research to advance the literature and contribute to the ESG accounting practices in Africa.

This study uses an SLR approach, where accounting research journal articles are collated and compiled according to pre-determined criteria and analysed using bibliometric techniques. After carefully reviewing 1,387 articles, the authors selected and examined 246 academic articles published from 2006 to 2024 in 32 accounting journals indexed in the Web of Science.

The authors identify four main streams of ESG accounting research in Africa, namely, ESG disclosure in primary-based economies; corporate governance dynamics in Africa; internal mechanisms in ESG reporting; and external mechanisms in ESG disclosure. According to the analysis, the authors propose future research agendas to discuss institutional perspective of ESG reporting standards implementation and enforcement; value creation impact on sustainability performance; ESG reporting effect on conflict resolution; and ESG reporting quality and environmental sustainability.

This study assists policymakers, academics, managers, accounting professionals and investors in comprehensively understanding the current state and projecting future actions to develop ESG accounting in Africa.

To the best of the authors’ knowledge, this study is perhaps the first to examine Africa’s ESG research through an SLR. This study contributes to the body of knowledge by providing a comprehensive analysis of the existing ESG accounting landscape and tailoring future research agendas based on the distinctive characteristics of Africa.

In developing countries, informal construction artisans are vital to economic growth. Governments encourage enrolment into micro health insurance schemes to sustain artisans’ well-being and achieve universal health coverage. The peculiarity associated with the informal construction artisans may hinder the scheme enrolment, particularly in Nigeria. It may threaten to improve achieving sustainable development goal 3 (good health and well-being). This study investigated the level of awareness and causes and suggested measures to improve micro health insurance policy enrolment for construction artisans in the informal sector and, by extension, improve the achievement of Goal 3.

This study adopted face-to-face interviews to collect data in Lagos and Benin City, Nigeria. The researchers engaged 40 participants and achieved saturation at the 35th participant. The researchers manually analysed the collected data and reported the findings using the thematic approach.

Results showed low enrolment of informal sector construction artisans into micro health insurance schemes and identified the contributory factors. This includes poor awareness and poor funding of micro health insurance schemes, lax expertise and understanding of the micro insurance market space, extreme poverty, poor medical services, uneducated clients/customers/consumers, etc.

As part of the study’s implications, it recommends that the government invest more in social health for the informal sector’s low-income earners to enhance accomplishing universal health coverage and, by extension, improve achieving Goal 3. This study may stir policymakers to call for a review of the National Health Insurance Authority Act 2022 with implementable and enforceable clauses to reduce uninsured informal sector construction artisans.

The substantial expansion of technology and the efficacy of digital platforms in reaching young audiences have led to enhanced targeting and customization of promotional communications. Notwithstanding the expansion and efficacy of contemporary advertising platforms, scholarly attention has not kept pace with this domain of inquiry. This study aims to assess the antecedents of Google Shopping Ads (GSA) on intention to purchase behavior among the Generation Y and Z cohorts.

The current study used a quantitative approach and snowball sampling technique to gather primary data via a questionnaire and Google Forms, which resulted in the collection of 5,808 questionnaires among the cohort members. A principal component analysis and multigroup confirmatory multigroup structural equation modeling (between Generation Y and Z) were used to assess the research data and model.

The results show positive trust and perceived value associations with intention to purchase, particularly among Generation Y and Z consumers. The findings also show negative irritation, product risk and time risk associations with intention to purchase, especially among the Generation Y cohort, which indicates that young consumers generally do not observe perceived risk due to the usage of GSA.

GSA will continue to grow and become an increasingly important integrated marketing communications tool as the digital landscape develops. It can be concluded that young consumers show a high degree of perceived value and low levels of perceived risk due to the use of GSA. This study, therefore, promotes improved understanding among academics, marketers and businesses of search engine advertising among young cohorts of consumers (Generation Y and Z) in a developing country context.

Global warming and climate change are significant barriers to food production due to rising temperatures and extreme weather events. Thus, some households have taken to producing organic food on their rooftop gardens to mitigate the aforementioned challenges, which could improve the green environment and reduce carbon dioxide emissions. Given the emergence of this trend, this study aims to predict organic food production intention and behaviour within urban rooftop home gardens using an integrated model of the value-belief-norm (VBN) theory and theory of planned behaviour (TPB).

Study data were collected from 352 households in two major Bangladeshi cities and analysed through SEM-PLS for model assessment and prediction.

Resultantly, biospheric and egoistic values led to an improved ecological worldview (EP). The EP, awareness of consequences (ACs) and social norms (SNs) predicted personal norms (PNs). In addition, PNs and SNs forecasted the intention to produce organic food in urban-area rooftop gardens. Strong intentions could promote and predict the adoption of organic food production in rooftop gardens. Based on the study outcomes, PN partially mediated the relationship between SN and the intention to produce organic food. Furthermore, the value–behaviour nexus performed serial mediation through beliefs, norms and intentions.

In this vein, the VBN framework provided a comprehensive guideline to encourage the intention and behaviour of organic food production in urban-area rooftops. Education and public policies potentially leveraged public beliefs and norms to engage in climate-friendly activities.

Cultivating organic herbs and vegetables on rooftop reduces dependency on industrially produced food and fertilised crops, making it a sustainable food choice and climate-mitigating activity. Thus, this study focuses on rooftop organic food production as a lens to examine pro-environmental intentions and behaviours. In addition, past studies have not emphasised the mediating roles of environmental beliefs, PN and intentions between the value–pro-environmental behaviour nexus. Such paths could be interesting to observe and add value to the VBN model. This study investigated the mediating roles of environmental beliefs, PN and intentions between the value–pro-environmental behaviour nexus and the role of PN between SN and pro-environmental behavioural intention with VBN farmwork.

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.

The purpose of this paper is to assess the adoption of climate-smart agriculture (CSA) and its implication on improving the farming household food security status, their resilience and livelihood risk management of farmers.

This systematic review has followed procedures to accomplish the review, including literature searches, screening studies, data extraction, synthesis and presentation of the data.

Based on the result of the review, the determinants of CSA adoption can be categorized into five categories, including demographic factors (age, sex, family size, dependency ratio, education), economic factors (land size, household income, livestock ownership), institutional factors (extension services, training access, credit services, farm input, market distance), environmental factors (agroecology, change in precipitation, slope of land) and social factors (cooperatives membership, farmers perception). The result also shows that applying CSA practices has an indispensable role on increasing productivity, food security, income, building resilient livelihoods, minimizing production risk and alleviating poverty. This concluded CSA practice has a multidimensional role in the livelihood of agrarian population like Ethiopia, yet its adoption was constrained by several factors.

This review mainly emphasizes on the most commonly practiced CSA strategies that are examined by different scholars.

An important prerequisite for innovation is continuous employee learning. Organizations can set out to increase employee learning by creating positive conditions within the organization that facilitate employee learning and development. However, the dimensions of such a learning culture and the potential beneficial outcomes have been studied particularly in large organizations. This study therefore aims to develop the Learning Culture Scale (LCS) that measures learning culture in SMEs.

The measurement instrument presented in this paper focuses on the extent to which employees perceive the following six practices/policies within their SME to be geared towards learning behavior: learning-oriented tasks, reflexivity and experiential learning, collaborative learning, learning-oriented leadership, organizational learning structure and external network learning. The LCS has been tested and validated using two studies among 1,825 employees in 59 Dutch SMEs.

Confirmatory factor analyses and analysis of intercorrelations show support for the internal structure and validity of the LCS. The LCS also showed predictive value on actual learning behavior in terms of the amount employees engaged in formal courses and training.

To the best of the authors’ knowledge, this study is the first attempt to develop an instrument measuring the construct of learning culture specifically within SMEs. In addition, the LCS could be implemented as an audit tool, in which organizations could unveil which organizational learning issues are strong and which are weak. This would provide guidance for targeted action and improvement.

This study presents a systematic literature review (SLR) of the interdisciplinary literature on drones in last-mile delivery (LMD) to extrapolate pertinent insights from and into the logistics management field.

Rooting their analytical categories in the LMD literature, the authors performed a deductive, theory refinement SLR on 307 interdisciplinary journal articles published during 2015–2022 to integrate this emergent phenomenon into the field.

The authors derived the potentials, challenges and solutions of drone deliveries in relation to 12 LMD criteria dispersed across four stakeholder groups: senders, receivers, regulators and societies. Relationships between these criteria were also identified.

This review contributes to logistics management by offering a current, nuanced and multifaceted discussion of drones' potential to improve the LMD process together with the challenges and solutions involved.

The authors provide logistics managers with a holistic roadmap to help them make informed decisions about adopting drones in their delivery systems. Regulators and society members also gain insights into the prospects, requirements and repercussions of drone deliveries.

This is one of the first SLRs on drone applications in LMD from a logistics management perspective.

This paper aims to examine the devastating effects of the ongoing conflict in Gaza on its education system, a phenomenon termed “Educide”. The study documents the systematic destruction of educational infrastructure, including schools and universities, as well as the targeted killing of students and educators, which impedes current and future access to education. The paper argues that this deliberate dismantling of Gaza’s educational institutions aims to erase Palestinian culture, identity and resilience, thus hindering any prospects for SDG4. The authors emphasize the urgent need for international accountability and support to rebuild Gaza’s education sector, preserving its role in societal development, identity preservation and human rights.

This research paper uses a qualitative design, using data gathered through a comprehensive review of both grey and scholarly literature to assess the impact of the ongoing conflict on Gaza’s education system. By analyzing official reports, working papers and conference abstracts, the study compiles evidence of the systematic targeting and destruction of educational infrastructure in Gaza. This approach allows for an in-depth understanding of the conflict’s immediate and long-term effects on educational access, infrastructure and cultural preservation. The methodology underscores the critical implications of these findings and calls for urgent international intervention and accountability to protect education in conflict zones.

The paper’s findings reveal severe, systematic destruction of Gaza’s educational infrastructure, including schools and universities, with extensive loss of life among students and educators. The research shows that this “Educide” disrupts educational access for current and future generations, stifles intellectual growth and threatens the preservation of Palestinian identity and heritage. Evidence indicates that such deliberate targeting aims to destabilize Gaza’s social structure and hinder long-term development. The findings highlight the urgent need for international accountability to halt these acts, safeguard education as a fundamental right and rebuild Gaza’s education system to ensure resilience and continuity amid conflict.

The research faces several limitations, including reliance on secondary sources, such as gray literature and official reports, which may limit firsthand insights and real-time data accuracy. In addition, the ongoing nature of the conflict restricts access to updated information and complicates direct assessment of damage. The study’s qualitative approach may also limit the ability to quantify the full extent of destruction and long-term impacts on educational outcomes. Finally, the challenging political environment may affect the availability and reliability of certain sources, potentially leading to gaps in comprehensive data on Gaza’s educational infrastructure and human resource losses.

The practical implications of this paper underscore the urgent need for international intervention to protect Gaza’s education sector. Highlighting the concept of “Educide”, the study calls for policies to prevent the targeting of educational institutions in conflict zones and mechanisms to hold perpetrators accountable. It advocates for comprehensive support to rebuild Gaza’s educational infrastructure, ensuring students and educators can safely return to learning environments. This research also serves as a foundation for policymakers, NGOs and human rights organizations to implement sustainable educational recovery programs to preserve Palestinian identity, cultural heritage and long-term development amidst ongoing challenges.

The social implications of this paper are profound, as it highlights the erosion of Gaza’s educational foundations and its broader effects on Palestinian society. The systematic destruction of schools and universities disrupts education and impacts community resilience, cultural preservation and intergenerational knowledge transfer. This “Educide” undermines social cohesion by depriving young Palestinians of safe learning environments, vital support networks and prospects for socioeconomic stability. The study emphasizes the need for global support to restore these educational spaces, ensuring that education can continue to foster community strength, identity and hope within Gaza’s society amid conflict.

This paper is original in its focus on the concept of “Educide” in Gaza, a term describing the systematic targeting and destruction of educational infrastructure as a means of cultural and societal erasure. By framing the deliberate dismantling of Gaza’s education sector within a genocidal context, the paper offers a novel perspective on the intersection of conflict, education and cultural preservation. It contributes uniquely to academic and policy discourse by combining documented evidence with a call for international accountability, emphasizing the critical role of education as both a human right and a foundation for resilient societies in conflict zones.

This study examines the efficiency dynamics of public health service providers in Colombia between 2010 and 2021. In order to achieve this objective, a data panel is utilized to assess the effectiveness of 841 institutions across three levels of complexity (1, 2 and 3) in providing patient care, taking into account user satisfaction from 2010 to 2021.

By employing growth mixture analysis (GMA) and other statistical techniques, we may identify unique efficiency profiles among hospitals with different levels of complexity.

The results demonstrate varied efficiency patterns, with certain profiles generally retaining or improving efficiency over time, while others observe fluctuations or reductions. Efficiency outcomes are significantly impacted by factors such as capital investment, operational costs and workforce mix. Efficiency levels can be improved by making strategic investments in capital infrastructure and implementing effective operational cost management.

Changes in the healthcare market conditions in recent years in Colombia have compelled healthcare providers (IPS) to transform themselves into sustainable organizations.

Given the importance of the growing segmentation of ageing consumers and their increasing interaction with the Internet, digital marketing scholars are becoming more interested in this market. Prior research needs to pay more attention to this market in many contexts of digital marketing. This study aims to provide insights into ageing consumers’ content usage, content typology choices, and online brand advocacy (OBA).

Semi-structured interviews were applied, and 16 consumers from Southern Europe aged 55+ were included. The interviews were transcribed and examined following the principles of content analysis.

According to the research, older consumers display their usage and concerns regarding online content. They have different decision-making processes depending on whether they are purchasing products or services. Likewise, their choices of content typology vary based on the utilitarian or hedonic product category.

This study contributes to the literature by providing insights into this growing segmentation and proposing an OBA framework for older consumers related to content marketing. Finally, the study suggests that older consumers are passive online and active offline brand advocates.

This paper aims to explore Swedish municipalities’ adoption of politically decided goals and targets, within the budget document, that are formulated for the accounting unit of the municipal group.

A regression analysis of the adoption of financial and non-financial performance measurement by 289 Swedish municipalities was performed, including eight independent variables and several control variables.

Of the municipalities, 26% adopted financial and 13% non-financial goals and targets in their 2021 budgets. The former choice appears to be driven by functional rationality, while the latter is driven by institutional and political incentives. The low adoption level of performance measurement implies that political group-level management has not yet adapted to new organisational conditions.

To enhance political governance and accountability, controllers should assist politicians in incorporating municipal group goals into the budget. Not least, more attention should be given to non-financial perspectives, as they better support strategy implementation and better promote comprehensive accountability to citizens and stakeholders. A further implication for policymakers is that when designing future legal financial and non-financial requirements for municipalities, it is important to define those at the municipal group level.

This study empirically and theoretically contributes to previous research on the adoption of performance measurement as it is the first study to explore the adoption pattern of financial and non-financial performance measurement at the municipal group level. This study further contributes theoretically by highlighting the importance of distinguishing between the adoption of financial and non-financial goals and targets, as the analysis reveals that financial and non-financial performance measures are adopted due to different rationales.

Since the COVID-19 pandemic had a significant impact on all facets of civilisation around the world, including food safety, this study aimed to determine and compare the pre-COVID and post-COVID food safety knowledge of Bangladeshi consumers and their association with sociodemographic variables.

The current study performed a cross-sectional survey of 503 consumers who prepared food at least 2–4 times per week through a validated questionnaire, selected through convenience sampling from two metropolitan cities and two rural districts in Bangladesh. The non-parametric Wilcoxon signed-rank test, Mann–Whitney U tests, Kruskal–Wallis H and binary logistic regression were used for statistical analysis.

Although an increased percentage of consumers showed a better level of overall food safety knowledge in the post-pandemic (38.2%) than the pre-pandemic (28.8%), there is a low level of awareness of the appropriate duration of handwashing, foodborne pathogens, consuming raw milk or eggs, safe storage and temperature control of food. University graduates, families with few children and urban consumers had a good understanding of food safety both pre- and post-pandemic.

This study compares consumers’ pre- and post-COVID-19 food safety knowledge previously unknown in Bangladesh. The findings have significantly contributed to existing food safety knowledge in Bangladesh to adopt policies and structure training programmes for consumers in the country.

The interaction between urban development and climate change significantly impacts local public health services. Unfortunately, cities and involved institutions often fail to prioritize and integrate spatial planning when dealing with these unprecedented future challenges. This study aims to offer Health Integrative Climate Resilience and Adaptation Future (HICRAF), an innovative planning framework that systematically operationalizes future climate risks and their impact on local public health services.

HICRAF is developed based on the intermix of explorative and normative scenario planning approaches. Mixed methods of quantitative and qualitative techniques were applied to develop and operationalize the local climate adaptation scenarios through stakeholder participation. The framework demonstrates how different methods and scales (spatial and temporal) can be linked to exhibit climate risk outcomes of different future pathways.

The practicality of HICRAF was demonstrated in Khon Kaen city, where it bridged the gaps between global climate trajectories and local climate adaptation scenarios. It also highlights the need to consider intertwining spatial and systemic risks in local infrastructure operations. Although HICRAF has gained political buy-in and fostered the establishment of stakeholder discourse on climate-resilient futures, further research is needed to enhance its robustness and replicability.

This paper proposes a novel planning framework, HICRAF, that can systematically operationalize the future challenges of unprecedented climate change and urban development changes for the local public health service. The demonstration of HICRAF in Khon Kaen city provides empirical evidence of its implementability and upscaling potential.

The purpose of this paper is to ascertain the effect of free senior high school on the quality of basic education in Ghana.

A convergent mixed method design as indicated in Sharma et al. (2023) is used in this work to collect both quantitative and qualitative data from documents available from the stakeholders of education. Quantitative data from already-existing reports with data on basic education are analysed to identify the effects of the FSHS on basic education in Ghana and ascertain the impact of the FSHS on the educational budget as well as the indicators of basic education in the country. This is followed by a qualitative data analysis of the reports to ascertain the gravity of the results in the quantitative data. The Ministry of Education in charge of education in the country and the Ministry of Finance in charge of resource distribution to various sectors of the country’s economy are the major institutions with relevant reports and data which assist in this research. Reports from organisations and institutions with a keen interest in education are also considered. The secondary data is therefore the source for this research using a document analysis.

The poor performance of learners is largely attributed to the inadequate resources for effective management of basic education. Government expenditure on education is managed by reducing the spending on basic education. Compensation which is the inevitable expenditure for basic education is the only expenditure the parliamentary committee could identify. This is clear evidence that goods and services at the basic education level are sacrificed to manage the government’s spendings on education.

This research is limited to Ghana, a Sub-Sahara African country which introduced a free senior high school policy. The research only looks at the effects of the policy on the quality of basic education.

Educational policymakers should ascertain the consequences of a policy on the economy before implementation. The devastating effect of educational policy on other educational policies should also be considered when bringing in a new policy. As policies leverage existing policies, new policies must not devour already existing policies which are still relevant. An educational policy at any level must consider the basic policies of education that enhance inclusivity and equity at the lower levels of education. This will help in maximizing the effective implementation of the policies. Through this, nations can promote life-long learning with inclusivity and equity in education.

This research work has never been published elsewhere.

Directors’ human capital has long been recognised as vital to ensuring effective corporate governance. While previous studies have sought to link director human capital with specific firm-level outcomes, there are persistent challenges facing researchers who seek to understand better what kind of human capital makes a difference to effective board role execution. This study aims to understand whether the way directors fulfil their roles and contribute to boardroom dynamics is shaped by any human capital they gain via senior executive experience.

We draw insights from 30 in-depth, semi-structured interviews with Indian directors to capture their perceptions and experiences of how a specific kind of human capital, namely the C-suite experience, affects directors' boardroom dynamics and board role execution.

We highlight how directors with executive experience appear to have a more salient set of human capital to draw on. Specifically, they report navigating governance processes differently, displaying a more contextualised understanding of boardroom dynamics and having a broader understanding of the firm’s problems. Doing so enables them to foster constructive board-management relationships and improve their service role execution.

Our qualitative data are drawn from a purposively sampled group in a specific governance system (India). While this does not threaten the key theoretical insights, it does raise questions about their generalisability to other governance contexts.

Directors with executive experience build trust through their orientation towards and understanding of management without diminishing their capacity to scrutinise management decisions. The human capital of these directors appears to engender a more effective and contextualised boardroom dynamic that facilitates the execution of socialised accountability through balancing the control and service roles.

Our findings highlight the potential importance of a shared understanding of the communication and collaboration processes of corporate governance (i.e. a common transactional memory framework) between directors and management. Directors who share this understanding with management are more likely to effectively engage in the service role while not compromising the control role. This shared understanding appears to allow these directors and executives to encode, store and retrieve relevant information they need more effectively, engendering the trust between them that seems to foster socialised accountability.

This research aims to examine the potential tensions and management strategies for adopting artificial intelligence (AI) within Sales and Operations Planning (S&OP) environments.

We conducted in-depth interviews with eight S&OP professionals from different manufacturing firms, supplemented by interviews with AI solutions experts and secondary document analysis of various S&OP processes, to scrutinize the paradoxes associated with AI adoption in S&OP.

We revealed 12 sub-paradoxes associated with AI adoption in S&OP, culminating in 5 overarching impact pathways: (1) balancing immediate actions with long-term AI-driven strategies, (2) navigating AI adoption via centralized systems, process redesign and data unification, (3) harmonizing AI-driven S&OP identities, collaboration and technology acceptance, (4) bridging traditional human skills with innovative AI competencies and (5) managing the interrelated paradoxes of AI adoption in S&OP.

The findings provide a roadmap for firms to proactively address the possible tensions associated with adopting AI in S&OP, balancing standardization with flexibility and traditional expertise with AI capabilities.

This research offers (1) a nuanced understanding of S&OP-specific paradoxes in AI adoption, contributing to the broader literature on AI within operations management and (2) an extension to Paradox Theory by uncovering distinct manifestations at the AI–S&OP intersection.

This paper aims to explore the extent to which the Uganda lower secondary curriculum (LSC) reform, instituted in January 2020, has ensured equitable educational opportunities for secondary school learners considering school and learner socio-economic status.

A qualitative approach was adopted in which the experiences and perceptions of both facilitators and implementers of the reform were gathered using interviews and lesson observations.

Data revealed disparities among high and low socio-economic-status schools in their preparedness and capacity to implement the reform, with the consequence of divergent educational opportunities for learners in these contexts.

The sample was limited to government-aided secondary schools and thus excluded private schools; the majority in Uganda. This means that the findings may be limited in generalizability. However, the majority of private schools serve the lower socio-economic demographic, so the study findings and implications may extend to them as well.

The findings suggest that unless the government intervenes with measures to boost the capacity of schools in low socio-economic contexts to implement the reform, the outcome of the curriculum may be a society further stratified along socio-economic lines.

The findings indicate that the new LSC may contribute greatly to social stratification through disparate educational opportunities for different sections of the Ugandan populace. This could work against national socio-economic ambitions and also lead to non-achievement of the UN SDG4 of quality, equitable, inclusive education for all.

This paper demonstrates how Uganda, a developing nation, is faring in the achievement of the global educational policy goal of equity in the implementation of its competence-based LSC reform. It highlights key policy and research gaps that should be addressed to promote equitable learning opportunities for all learners.

This purpose of this study is to explore how the public client, the engineering consultant and the sub-consultant perceive and address innovation outcomes and processes in the planning and design phase of infrastructure projects.

An explorative single-case study of a public infrastructure project was carried out. A multi-dimensional innovation framework, including innovation outcomes and processes, was applied.

Innovation outcomes in terms of products and processes from the engineering consultant’s work in the planning and design phase hold untapped potential for enhancing innovation in construction projects. Additionally, findings indicate that sub-consultants from outside the construction industry (i.e. external knowledge resources) play a crucial role in introducing more radical innovations based on adaptation.

The findings provide an empirical illustration of a further developed innovation framework that can be used by both scholars and practitioners to analyze and discuss the multi-dimensional concept of innovation in the construction context. Additionally, the findings highlight the importance of capturing perceptions of various actors regarding innovation outcomes and processes to facilitate innovation in an inter-organizational context.

The purpose of this study is to explore the integration of risk management and circular economy (CE) principles within the healthcare sector to promote sustainability and resilience. Specifically, the study aims to demonstrate how risk management can support the transition to a circular economy in healthcare supply chains. By integrating risk management practices with CE principles, healthcare organizations can identify potential risks and opportunities associated with circular initiatives.

This study adopts a qualitative research approach, using a case study methodology with semi-structured interviews conducted at primary care facilities to understand the application of CE principles in practice. The study uses fuzzy logic methods to assess and mitigate risks associated with strategies promoting CE principles. Additionally, key performance indicators are identified to evaluate the effectiveness and enhance the resilience of these strategies within healthcare supply chains.

The study highlights the critical role of robust risk management strategies in facilitating the transition to a circular economy within healthcare organizations. Primary care facilities, which are critical to frontline healthcare delivery, are particularly vulnerable to product shortages due to supply risks. This study focuses on critical protective equipment, specifically latex gloves and assesses operational risks, including supply, demand and environmental risks, using a fuzzy logic-based model. Import delays were found to be a moderate risk, typically occurring once a year. The research highlights critical KPIs for a successful CE transition within healthcare supply chains, such as on-time delivery and service quality, which are directly related to the risk of supply chain disruption. In addition, the study highlights the significant impact of other CE strategies on healthcare supply chains, including localized production and manufacturing, innovation in product development, reverse logistics, closed-loop supply chains and the adoption of lean principles.

This study provides valuable insights for healthcare organizations to optimize resource efficiency, reduce waste and promote circularity in their operations. By implementing the proposed solutions and focusing on the identified KPIs, organizations can develop strategies to achieve sustainability goals and enhance resilience in healthcare supply chains.

This study contributes to the literature by demonstrating the application of risk management in facilitating the transition to a circular economy in the healthcare sector. The use of fuzzy logic methodology offers a novel approach to assessing and mitigating risks associated with critical product failures in supply chain activities. The study’s findings provide practical guidance for healthcare organizations seeking to integrate circular economy principles and improve sustainability performance.

Modern buildings use intelligent automation for comfort, efficiency and sustainability, impacting their construction and operation. Although building automation (BA) operates via bus lines and is controlled by sensors and actuators, computer-aided facility management (CAFM) systems often handle data redundantly. Current standards fail to detail effective systems integration, with a noticeable gap in practical network models and solutions.The purpose of this paper is to design a network model that integrates building services and networks at the automation level. The goal is to enable the CAFM side to control all electrical loads (such as lighting, blinds, pumps), climate control (HVAC) and security monitoring.

This paper explores the automatic discovery and integration of BA devices and centralized controls into CAFM systems, focusing on innovative networking models, system data provisioning, import functions and web operation. Established technologies such as Universal Plug and Play (UPnP) and Extensible Markup Language (XML) standards are utilized to develop new solutions.

The paper introduces a solution with a database and software module enabling bidirectional web-based coupling via LAN. The UPnP standard was enhanced to include facility management (FM)–specific information for device communication. The prototype effectively controls devices through CAFM systems, setting a foundation for future improvements in web-based BA. These results are crucial for developing standards for automated data processing between CAFM systems and BA.

This research benefits FM, especially in maintenance, operations, energy and compliance. In addition, the need for time-consuming on-site inspections to record device master data for maintenance management, in case of commissioning or changing facility service providers, can be eliminated. The principles of the developed software module enhance CAFM systems as high-performance building control tools.

The paper adapts existing technologies for specific FM applications and integrates them for the first time into key FM processes.

Drawing on panarchy theory and adaptive cycles, this study aims to investigate the role of reorganisation capabilities on firms’ supply chain resilience. The conceptual model underpinned by panarchy theory is tested in the agrifood supply chains disrupted by a geopolitical crisis and faced with material shortage. The study considers circularity as a core reorganisational capability and measures its interplay with two other capabilities: new product development and resource reconfiguration capabilities to achieve supply chain resilience.

A quantitative research design is followed to test the relationships between circularity capabilities, resource reconfiguration capabilities, new product development capabilities and supply chain resilience. A cross-sectional survey is applied to a sample drawn from food manufacturers who are dependent on wheat and sunflower oil as raw material and who are faced with material shortages in the aftermath of a geopolitical crisis. Measurement models and hypotheses are tested with the partial least squared structural equation modelling (PLS-SEM) based on 324 responses.

The results show that new product development and resource reconfiguration capabilities fully mediate the relationship between circularity capabilities and supply chain resilience. In other words, the food producers achieved supply chain resilience in response to agrifood supply chain disruption when they mobilised circularity capabilities in combination with new product development and resource reconfiguration capabilities.

The findings suggest that producers in the agrifood industry and even those in other industries need to develop circularity capabilities in combination with new product development and resource reconfiguration capabilities to tackle supply chain disruptions. In a world that is challenged by geopolitical and climate-related crises, this means leveraging 3R practices as well as resource substitution and reconfiguration in new product development processes.

The study explores the release and reorganisation phases of adaptive cycles in a panarchy by analysing the interplay between different capabilities for building supply chain resilience in response to disruptions challenging supply chains from higher levels of the panarchy. The results extend the theoretical debate between circularity and supply chain resilience to an empirical setting and suggest the introduction of new variables to this relationship.

The purpose of this paper is to investigate network mobilization for collective market shaping. The authors focus on sustainable innovations that require broad cross-sectoral mobilization to create collective action among network actors. By drawing on insights from mobilization in innovation and issue networks, the authors shed light on the role of these two different networks in mobilizing collective action and triggering collective market shaping for sustainable innovations.

This paper presents a qualitative case study on the commercialization of a new low-carbon eco-concrete. The eco-concrete faces significant challenges in entering the market, due to the construction industry’s entrenched practices and institutional arrangements. These challenges emphasize the critical need for mobilizing collective action to generate the momentum for market change.

The findings reveal four types of interplay between mobilization in innovation and issue networks: synergistic and complementary mobilization that can reinforce collective market shaping and conflicting and diluting mobilization that can impede collective action and hinder the market shaping for sustainable innovations.

This paper contributes to a more comprehensive understanding of the role of mobilization in triggering collective market shaping. In particular, this research sheds light on the early stages of market shaping for sustainable innovations where broad mobilization for collective action is critical.

This study investigates the moderating effects of consumers’ occupations on their purchase intentions (PIs) for food takeout services using a modified unified theory of acceptance and use of technology model. It evaluates how different occupations influence the relationships between social influence (SI), expectation confirmation (EC), facilitating conditions (FC) and PI.

The study collected data from individuals in various occupations, including technical/associate professionals, executives/professionals, administrative/service workers and manual/operative workers. The data were analyzed using structural equation modeling, while hierarchical analysis assessed how occupation moderated the relationships between latent variables (SI, EC and FC) and PI.

Different occupations have a certain moderating effect on the relationships between SI/EC/FC and PI. For the technical and associate professionals and manual and operative occupations, the moderating effect of FC on PI is stronger than that of EC and SI. For executives and professionals and administrative and service occupations, the moderating effect of EC on PI is stronger than that of SI and FC.

This study provides new insights into how occupational differences influence consumer behavior in the context of online food ordering services. The results expand the application of the unified theory of acceptance and use of technology model and the understanding of the influence of occupation on consumer’ behavior.

This paper examines the organizational resilience of audit firms during the early stages of COVID-19. The unexpected restrictions placed on travel and on-site working created unanticipated barriers for auditors in Hong Kong. The authors expect that auditors with greater organizational resilience can respond to unexpected situations and restore expected performance levels relatively quickly.

The authors utilize a sample of 1,008 companies listed on Hong Kong Stock Exchange (HKEX) with a financial year-end of December 31. The authors identify five proxies contributing to organizational resilience: auditor size, industry specialization, diversity, geographic proximity to the client and auditing a new client. The authors use audit report timeliness as this study's main dependent variable.

This study's full-sample results suggest that larger auditors, industry specialists and auditors with closer relationships to clients issued more timely audit reports during the pandemic. The analysis of a subsample of companies that initially published unaudited financial statements reveals that industry expertise and longer auditor-client relationships significantly reduced the need for year-end audit adjustments. Finally, the authors find that larger auditors were more likely to offload clients, whereas industry specialists were more likely to retain clients.

The results of the paper suggests that audit firm characteristics associated cognitive abilities, behavioral characteristics and contextual conditions are associated with audit firm organizational resilience and, consequently, helps auditors respond unexpected changes in the audit environment.

The findings of the paper are informative for those involved in audit firm management or auditor hiring and retention decisions.

This study is the first to link organizational resilience to the performance of audit firms in a time of unexpected events. The authors connect three auditor and two auditor-client dimensions to the organizational resilience of the audit firms.

The significance of organizational culture (OC) pervades all workplaces, extending even to health systems. While numerous studies have examined the perceptions of OC among nurses and physicians, there is a notable gap in understanding the perspectives of non-patient-facing health system employees. This study aims to fill this void by investigating the perceptions and drivers of OC among non-patient-facing personnel within health systems.

This study employed a mixed-methods approach, starting with a 31-question survey disseminated to health system employees through trade organizations to capture diverse perspectives on OC. Subsequently, employees were invited to participate in semi-structured interviews. A total of 23 interviews were conducted to explore the underlying factors shaping employees’ perceptions of OC.

A total of 67 surveys were completed, with 61 used in the analysis. The results revealed a predominantly positive outlook, highlighting the significance of supportive leadership and involvement in decision-making processes. The qualitative analysis identified four key themes: effective communication and transparency, coordinated teamwork, supportive leadership and the impact of external factors like the coronavirus disease 2019 (COVID-19) pandemic.

Effective leadership should prioritize open communication, employee autonomy and involvement in decision-making. These strategies foster a culture of trust, accountability and engagement, enhancing employee morale and job satisfaction while promoting a collaborative and innovative work environment conducive to long-term success and growth.

This research examines the often-overlooked perspectives of non-patient-facing health system staff, providing valuable insights and strategies for leaders to improve OC and create a more positive, inclusive and supportive work environment.

This short review paper aims to examine the evolution of artificial intelligence (AI)/machine learning (ML) in the realm of geotechnical engineering.

This paper gives a brief overview of AI/ML technology and discusses its current trend and future directions in geotechnical engineering.

Despite limitations, the use of AI/ML techniques has several significant benefits that make them powerful and practical tools in the field of geotechnical engineering.

This paper explored the integration of AI/ML promising technology into geotechnical design and practice and highlighted its transformative impacts in terms of benefits, limitations and potential future directions.

This paper aims to discuss the innovation challenge in the alternative protein sectors of the European Union (EU) and Australia-New Zealand (AUSNZ) by comparing their respective novel food frameworks. The study investigates which regulatory provisions stakeholders perceive as barriers to innovation and proposes measures to address these obstacles.

Alternative proteins are often legally classified as “novel foods” in both the EU and AUSNZ. A functional comparative legal analysis of the novel food frameworks of these two jurisdictions was conducted. Qualitative interviews with stakeholders active in the EU or AUSNZ alternative protein sectors complemented the legal analysis. The interviews aimed at gathering stakeholder perspectives on the framework within which they operate and discuss ways to foster innovation in their jurisdictions.

While the AUSNZ framework is generally perceived as more innovation-friendly, particularly regarding breakthrough innovations like cultivated meat, the EU is viewed as a challenging regulatory environment. The duration of the authorisation procedure, differing levels of communication and opportunities for dialogue between stakeholders and regulators, along with the political stances of EU member states, emerged as the main elements to explain such differences. In both jurisdictions, a lack of support for small-scale companies was identified as a key factor hindering the innovation process.

This study provides the first in-depth comparative analysis of the novel food frameworks in the EU and AUSNZ and explores stakeholder perceptions of their respective frameworks. Through this comparison, the study offers suggestions for enhancing both frameworks' ability to incentivise innovation in their alternative protein sectors.

With the introduction of autonomous trucks, loading and unloading (L/UL) can no longer be performed by the driver and new requirements on automated L/UL are imposed. Compared with many other applications of automation, automated L/UL entails multiple actors, including senders, recipients, and transport providers, and thus several requirements, as explored in this paper.

A multiple-case study method is applied consisting of three cases to explore requirements for automated L/UL across four layers of interoperability: organisational, legal, semantic, and technical.

Key requirements identified include organisational adjustments to automate or eliminate drivers’ tasks, legal aspects on load securing and liabilities, semantic alignment for common understanding among the actors, and technical infrastructure needed for automated L/UL.

This paper emphasises the importance of automated L/UL for fully realising the benefits of autonomous trucks and considering organisational, legal, and semantic aspects beyond technical ones. The study is set in a context of stable transport systems as regards transport network and standardised unit loads.

Delving beyond technical aspects, it highlights crucial organisational challenges in automating L/UL and shifts in legal responsibilities among the actors of the supply chain. The paper also provides insights into actual industrial settings of automated L/UL. The development of a conceptual framework for identifying requirements and insights into interoperability provide guidance for engineers, managers, and researchers in designing automated L/UL.

The purpose of this article is twofold. First, this study characterises the current state of the bio-packaging market's development. Second, it identifies key factors influencing and possible scenarios of the bio-packaging market transition to increase the market share of compostable packaging.

The results of 29 in-depth interviews (IDIs) with representatives of the key groups of bio-packaging supply chains' (SCs') stakeholders were the input for the consideration of the research problem.

The main economic, legal, social and technological enablers and barriers to the bio-packaging regime transition are recognised, and their impact at the market level is explained. The authors recognised the hybrid transition scenario towards an increase in the market share of compostable packaging related to the three traditional pathways of transformation, reconfiguration and technological substitution.

This study contributes to a better understanding of the socio-technical system theory by examining interdependencies between landscape (external environment), market regime (bio-packaging market) and niche innovations (compostable packaging) as well as system transition pathways. The findings and conclusions on bio-packaging market developments can be important lessons learnt to be applied in different countries due to the same current development stage of the compostable packaging lifecycle worldwide.

This paper aims to analyse sustainability reporting practices and the influences of local and global norms for sustainability reporting in the Indo-Pacific region. A comprehensive sustainability reporting index is developed to benchmark company reporting against major global reporting frameworks and local frameworks.

The content analysis was conducted on 2019/20 and 2020/21 sustainability and annual reports produced by the top 50 listed companies in four distinctive countries in the Indo-Pacific region: Indonesia, the Philippines, Sri Lanka and Bangladesh. A total of 249 reports were collected and analysed.

Through the lens of Integrative Social Contract Theory (ISCT), this study reveals that issues garnering global attention, which are also included in the local standards, are most likely to be reported, especially in the social dimensions related to employee health and well-being, as well as diversity and equity. While companies are keeping up with the global standards related to sustainability issues, the presence and comprehensiveness of key local frameworks significantly influence the extent of sustainability reporting in emerging Indo-Pacific economies. However, certain aspects of reporting, such as the implementation and training of the OHS system, gender diversity in leadership and renewable energy use, are not covered by the local frameworks but receive considerable attention in corporate reporting practice. These aspects have been integrated into the ethical principles that companies consider as crucial ethical norms, or hypernorms, irrespective of local influences.

The substantial impact of local expectations also suggests that global sustainability reporting guidelines may need to better incorporate the nuanced complexities of local or country-specific situations and challenges faced by companies. In addition, while Indo-Pacific companies are actively engaging with critical hypernorms related to workplace safety, equal leadership opportunities for women and clean energy, more attention and support are needed for equally important areas, such as age diversity and the circular economy, as companies embrace the global momentum.

Previous research on sustainability reporting in the Indo-Pacific region is patchy in both volume and scope, which is symptomatic of limited access to data and the slower uptake of the practice in developing countries. However, the growing economic and geopolitical importance of this region means that it is an important context to explore. This research takes a cross-country approach to examining sustainability reporting in the region, aiming to benchmark company practices against global and local frameworks. It reveals an integrative approach that companies in this region have adopted to harmonise global standards with the diverse array of local reporting norms and standards.

Blockchain and distributed ledger technologies are increasingly prominent, yet their adoption remains complex. This paper addresses the common misalignment between blockchain technology and actual needs, often leading to project failure. It introduces a decision-making framework focused on the technological aspects of blockchain adoption.

We designed the framework by analyzing key decision drivers from existing literature and applied it to a real-world use case in the electric vehicle supply chain. The blockchain solution was tested with live production data.

Blockchain is beneficial for use cases requiring decentralized governance, but it often needs to be supplemented with additional technologies in industrial applications.

The framework provides a set of managerial-level questions that simplify the decision-making process for those without deep technical expertise, helping determine when blockchain is appropriate, valuable and superior to other technologies.

The purpose of this study is to examine the probable role of geographic information systems (GIS) in sustainable tourism, rural community-based natural resource management (CBNRM) and inclusive community development and participation in Sub-Saharan Africa, Africa naturally and many rural areas elsewhere abroad.

The study uses narrative literature and document reviews to assess African and global environmental and rural tourism resource management procedures. The data analysis was done manually from the narrative and general literature reviews of the older and latest research. It links CBNRM, GIS and conjoining tools to sustainable tourism, public leadership, subsistence and local community empowerment applications.

This examination displays a possible association between tourism and rural and agricultural enterprises that GIS, its associative procedures and tools, and the concept of CBNRM can strengthen while enhancing public leadership and sustainability and spurring livelihoods, especially in remote areas. Therefore, it underscores the need for a reputable and myriad tourism strategy to develop and empower the relevant environs in many rural and marginalized areas within the continent.

Numerous remote rural neighborhoods in Sub-Saharan Africa, southern Africa and Africa usually live in low-income areas with meager socioeconomic programs. However, such localities thrive on natural biodiversity, including tourism destination sites. Information systems and information technology, such as GIS and remote sensing, with sustainable tourism, CBNRM and inclusive public leadership can synergize local community development schemes within their settings.

The Q method is an inherently mixed-method approach suitable for tackling issues regarding theory, conceptualization and operationalization in the social sciences. Nevertheless, the application of this method in organizational behavior (OB) studies is still limited. This paper aims to delineate to what extent, regarding what topics, and in what ways the Q method has been applied in OB studies. Moreover, it aims to systematically explore the strengths and weaknesses of this method for the OB field.

We present a systematic literature review of 47 studies employing the Q method in OB research.

There is an upward trend in the application of Q in OB research. The studies in our sample address the following OB topics: Human resource management (HRM) (14), leadership (10), group decision-making (6), collaboration (4), culture (9) and organizational change and development (4). We describe how Q is used in a wide variety of ways.

This study shows how performance-oriented organizations can benefit from the Q method as a managerial diagnostic and intervention tool in organizational change and development and in human resources management.

To the best of the authors’ knowledge, this is the first systematic literature review on the Q method that spans the field of organizational behavior across topics and research levels, including the individual, team and organizational levels.

The metaverse is a virtual world where users can communicate with each other in a computer-generated environment. The use of metaverse technology has the potential to revolutionize the way businesses operate, interact with customers, and collaborate with employees. However, several obstacles must be addressed and overcome to ensure the successful implementation of metaverse technology. This study aims to examine the implementation of metaverse technology in the management of an organization's supply chain, with a focus on predicting potential barriers to provide suitable strategies.

Covariance-based structural equation modeling (CB-SEM) was used to test the model. In addition, artificial neural network modeling (ANN) was also performed.

The CB-SEM results revealed that a firm's technological limitations are among the most significant barriers to implementing metaverse technology in the supply chain management (SCM). The ANN results further highlighted that the firm's technological limitations are the most crucial input factors, followed by a lack of governance and standardization, integration challenges, poor diffusion through the network, traditional organizational culture, lack of stakeholder commitment, lack of collaboration and low perception of value by customers.

Because metaverse technology has the potential to provide organizations with a competitive advantage, increase productivity, improve customer experience and stimulate creativity, it is crucial to discuss and develop solutions to implementation challenges in the business world. Companies can position themselves for success in this fascinating and quickly changing technological landscape by conquering these challenges.

This study provides insights to metaverse technology developers and supply chain practitioners for successful implementation in SCM, as well as theoretical contributions for supply chain managers aiming to implement such environments.

This study aims to analyze the facilities managers’ involvement over the project life cycle phases (PLP), based on theoretical knowledge, consensus from empirical assessment of facilities managers and consultants’ practices.

A literature review was undertaken to determine the different tasks that facilities managers typically handle, identify project phases and their underlying activities in which facilities managers would be involved. This was followed by targeting a group of consultants to build a consensus, upon the identified involvement of facilities managers, over the PLP, while measuring the level of involvement from a representative group of facilities managers in Saudi Arabia. A matching between the perceptions and practice has been performed to serve as recommendations for future research on improving the practice in Saudi Arabia.

The involvement of facilities managers in the PLP is relatively low, according to the consultants’ perceptions. Consultants perceive that facilities managers should be involved in more professional activities, which would ultimately improve projects’ delivery to clients.

The involvement of facilities managers over the PLP ensures effective delivery of projects and reduces the multiplicity of challenges at the operation and maintenance phase. The viewing of facility managers’ involvement adds to the effectiveness of their role within the building industry.

This paper investigates the consultants’ perception of the involvement venues for facility managers to perform activities which are evaluated to be “mandatory,” “advantageous” or “not necessary.” The study reflects the state of facilities management practice, and the consensus of consultants toward the role of the facility managers through the PLP.

Access to clean drinking water is a major encumbrance in developing countries. In Ghana, urban water supply is below internationally recognised standards, especially among the urban poor, sub-urban and rural communities. Stakeholders and institutional inefficiencies may be hindrances facing the Ghanaian water supply process. Therefore, this study aims to appraise the motivational factors and outcome of stakeholders’ engagement and identify the factors that influence effective institutional management of urban water supply in Ghana.

Sequential exploratory mixed methods were adopted and analysed to proffer answers to the research questions. Nineteen participants and 521 respondents were sampled for the qualitative and quantitative phases.

Findings reveal that the institutional processes and stakeholder engagement significantly influence the effectiveness of the management of urban water supply in Ghana. Findings identified 35 motivational factors and categorised them into the health of the population, socio-economic, technological and innovation trends, policy reform and adaptive governance. Also, the 22 institutional factors identified were categorised into three groups: regulatory framework, ethics for managing water supply and the culture of managing water supply.

Besides the study addressing the theoretical gap regarding which variables are germane in influencing the effective management of urban water supply, the study may be among the top studies that have appraised the role of stakeholders in the institutional management of urban water supply in Ghana.

This study aims to examine the impact of the COVID-19 pandemic on the relationship between auditors’ work stress and client participation with audit quality (AQ).

This study is a descriptive-survey type and the data were collected through a questionnaire distributed online. The statistical population consisted of auditors working in audit firms in Iran and the sample was selected using a random sampling method. Structural equation modeling was used to analyze the data.

The findings of this study suggest that the COVID-19 pandemic exacerbated the negative relationship between auditors’ work stress and AQ. In addition, the results indicate that client participation in the audit process did not significantly impact AQ during the COVID-19 pandemic.

Given the global and widespread impact of the COVID-19 pandemic on individuals’ lives and work settings, this study provides an opportunity to explore the challenges auditors face concerning health protocols and their well-being during the pandemic, specifically within the context of Iran. The unique circumstances of the pandemic have placed additional pressure on auditors to navigate and address the challenges arising from COVID-19 in their workplaces. Although research on the effects of the pandemic on accounting and auditing is ongoing, this study contributes to the literature by expanding our understanding of the specific implications and circumstances faced by auditors during the COVID-19 outbreak.

Blockchain technology (BCT) can play a vital role in manufacturing industries by providing visibility and real-time transparency. With BCT adoption, manufacturers can achieve higher productivity, better quality, flexibility and cost-effectiveness. The current study aims to prioritize the performance metrics and ranking of enablers that may influence the adoption of BCT in manufacturing industries through a hybrid framework.

Through an extensive literature review, 4 major criteria with 26 enablers were identified. Pythagorean fuzzy analytical hierarchy process (AHP) method was used to compute the weights of the enablers and the Pythagorean fuzzy combined compromise solution (Co-Co-So) method was used to prioritize the 17-performance metrics. Sensitivity analysis was then carried out to check the robustness of the developed framework.

According to the results, data security enablers were the most significant among the major criteria, followed by technology-oriented enablers, sustainability and human resources and quality-related enablers. Further, the ranking of performance metrics shows that data hacking complaints per year, data storage capacity and number of advanced technologies available for BCT are the top three important performance metrics. Framework robustness was confirmed by sensitivity analysis.

The developed framework will contribute to understanding and simplifying the BCT implementation process in manufacturing industries to a significant level. Practitioners and managers may use the developed framework to facilitate BCT adoption and evaluate the performance of the manufacturing system.

This study can be considered as the first attempt to the best of the author’s knowledge as no such hybrid framework combining enablers and performance indicators was developed earlier.

This study aims to evaluate the sustainable supply chain performance indicators. At a macro level, the identification of the sustainable supply chain management (SSCM) performance indicators is done through exhaustive literature survey and interviews with experts. Furthermore, these indicators are evaluated through a hybrid approach, i.e. total weighted interpretive structural modelling (TWISM) followed by analytic hierarchical process (AHP).

Micro small and medium enterprises (MSMEs) in India are a major contributor to nation’s GDP. However, this sector struggles to comprehend benefits from implementation of SSCM due to a lack of appropriate performance evaluation metrics. The purpose of this paper is to contribute to the body of knowledge in SSCM by proposing and evaluating a set of SSCM performance indicators.

The paper highlights the SSCM performance indicators and concludes that business strategies, implementation planning and impact of stakeholders are the top SSCM performance indicators (SPIs). Therefore, the decision-makers must initially focus on strategic requirements which foster the implementation of SSCM, thereby ensuring profitability for all stakeholders.

Although the proposed framework was validated through a case study on Indian automobile component manufacturing MSMEs, future research would explore the extension of the framework to other industries.

The originality of this study lies in the application of the novel TWISM-AHP tool. Furthermore, the SPIs identified in the study, consider the integration of the triple bottom line from the MSME perspective. The TWISM-AHP analysis will be beneficial for SC decision-makers to enhance the SSCM performance based on the identified indicators and their criticality.

This paper aims to predict Dogecoin price by using artificial intelligence (AI) methods and comparing the results with the econometrics models.

An artificial neural network (ANN) was applied as a prediction method without any optimization techniques. Additionally, the genetic algorithm (GA) is used to select the most appropriate input variables. Additionally, based on the literature review and the relationships between crypto-price and global indices, 20 economic indicators, such as Coinbase Bitcoin, Coinbase Litecoin and US dollars, along with main global stock indices such as FTSE100 and NIFTY50, are identified as input variables for the model. Lichtenberg algorithm (LA) and aquila optimization (AO) algorithm are used to make the ANN more robust. To validate our algorithms, they have been implemented on daily data for the last three years. To demonstrate the superiority of the models over traditional methods such as econometrics, regression analysis and curve fitting techniques are used. The effectiveness of these models is then evaluated and compared using criteria such as recall, accuracy and precision.

The results indicate that AI-based algorithms not only enhance the accuracy, recall and precision of calculations but also expedite the process without requiring the numerous and restrictive assumptions associated with time series and econometric models.

The main contribution of this paper is the application of novel approaches such as AO and LA to improve the predictive capabilities of the ANN method for various cryptocurrencies’ prices. It demonstrates the superiority of the proposed algorithms over traditional econometric models using real-life data.

This study aims to assess the feasibility and effectiveness of incorporating predictive maintenance (PdM) into existing practices of spare part inventory management and pinpoint the barriers and identify economic values for such integration within the supply chain (SC).

A two-staged embedded multiple case study with multi-method data collection and a combined discrete/continuous simulation were conducted to diagnose obstacles and recommend a potential solution.

Several major organisational, infrastructure and cultural obstacles were revealed, and an optimum scenario for the integration of spare part inventory management with PdM was recommended.

The proposed solution can significantly decrease the inventory and SC costs as well as machinery downtimes through minimising unplanned maintenance and addressing shortage of spare parts.

This is the first study with the best of our knowledge that offers further insights for practitioners in the Industry 4.0 (I4.0) era looking into embarking on digital integration of PdM and spare part inventory management as an efficient and resilient SC practice for the automotive sector by providing empirical evidence.

This study aims to analyse and understand customer sentiments and perceptions from neobanking mobile applications by using advanced machine learning and text mining techniques.

This study explores a substantial large data set of 330,399 user reviews available in the form of unstructured textual data from neobanking mobile applications. This study is aimed to extract meaningful patterns, topics, sentiments and themes from the data.

The results show that the success of neobanking mobile applications depends on user experience, security features, personalised services and technological innovation.

This study is limited to textual resources available in the public domain, and hence may not present the entire range of user experiences. Further studies should incorporate a wider range of data sources and investigate the impact of regional disparities on user preferences.

This study provides actionable ideas for neobanking service providers, enabling them to improve service quality and mobile application user experience by integrating customer input and the latest trends. These results can offer important inputs to the process of user interaction design, implementation of new features and customer support services.

This study uses text mining approaches to analyse neobanking mobile applications, which further contribute to the growing literature on digital banking and FinTech. This study offers a unique view of consumer behaviour and preferences in the realm of digital banking, which will add to the literature on the quality of service concerning mobile applications.

As the realm of artificial intelligence (AI) expands, its societal implications soar. Today, society actively debates its rollout – yet such discourse often permeates news articles and social media unobjectively and without rigorous peer review. The purpose of this paper is to discuss the most pressing concerns associated with AI development and deployment.

This paper proposes a tripartite framework as a strategic guide and guardrail for AI’s evolution.

This robust framework addresses challenges, mitigates potential risks and harnesses AI opportunities for our shared future.

A policy-techno-legal framework for understanding key AI challenges and foundations for building AI guardrails.

Intelligent prediction of node localization in wireless sensor networks (WSNs) is a major concern for researchers. The huge amount of data generated by modern sensor array systems required computationally efficient calibration techniques. This paper aims to improve localization accuracy by identifying obstacles in the optimization process and network scenarios.

The proposed method is used to incorporate distance estimation between nodes and packet transmission hop counts. This estimation is used in the proposed support vector machine (SVM) to find the network path using a time difference of arrival (TDoA)-based SVM. However, if the data set is noisy, SVM is prone to poor optimization, which leads to overlapping of target classes and the pathways through TDoA. The enhanced gray wolf optimization (EGWO) technique is introduced to eliminate overlapping target classes in the SVM.

The performance and efficacy of the model using existing TDoA methodologies are analyzed. The simulation results show that the proposed TDoA-EGWO achieves a higher rate of detection efficiency of 98% and control overhead of 97.8% and a better packet delivery ratio than other traditional methods.

The proposed method is successful in detecting the unknown position of the sensor node with a detection rate greater than that of other methods.

This research centres on how digital technologies are revolutionizing agriculture, affording farmers improved access to information, crop forecasts, markets and innovations, in addition to facilitating training and other benefits. The purpose of this investigation is to examine how technologies used in the Agro 4.0 industry facilitate agricultural and livestock practices.

A thorough examination of the existing literature on this subject was conducted, encompassing articles published between 2013 and 2023 that have been catalogued in Scopus and the Web of Science.

The analysis of these studies reveals the growing significance of innovations such as artificial intelligence, blockchain, precision agriculture, the Internet of Things (IoT) and robotics in the transformation of agriculture and livestock farming. The implementation of these technologies is occurring across various sectors of agricultural production, including livestock production, shrimp farming, vertical farming, supply chains, irrigation, grain inspection, the dairy sector and smart farms. The impacts identified include improvements in productivity, intelligent analysis systems, operational efficiency, transparency and reliability, management per square metre, optimization, environmental sustainability, animal welfare, enhancement of food security and risk reduction.

Therefore, the contributions of technologies are associated with data-based decision-making, digital skills to maximize agribusiness performance, digital transformation in the field and competitiveness in the global market.

This study aims to investigate the crucial role of information quality in the construction industry and its impact on organizational performance. The research objectives are threefold: (1) to identify and analyse key factors influencing information quality in construction organizations; (2) to examine how information quality affects strategic decision-making processes in the industry; and (3) to assess the extent to which information quality impacts overall organizational performance.

The study commences by gathering data from databases such as Scopus, Elsevier, Taylor and Francis, and Emerald Insight. The collected data is then analysed using ATLAS.ti 9 to construct a model linking information quality with strategic decision-making and organization performance.

The literature review analysis reveals the complex interplay between information quality, strategic decision-making and organizational performance in the construction industry. Key findings include identifying critical factors influencing information quality, such as technological infrastructure, organizational processes and personnel skills. The study highlights the necessity for organizations to recognize potential challenges in information management and formulate strategies to overcome them.

This research makes a significant contribution to the field by providing a comprehensive framework for understanding the role of information quality in strategic decision-making within the construction industry. The study’s originality lies in its systematic approach to synthesizing existing literature and developing visual representations of complex relationships between information quality, decision-making processes and organizational performance.