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Traditional ceramic industries (ceramic tiles, frits, glazes and pigments) generate solid wastes, wastewater and gas emissions that have different characteristics depending on the type of product made. The present study was undertaken to define a series of test methodologies for characterising each type of waste. The approach involved defining the elements to be analysed in each kind of sample, subsequently carrying out the respective test methods for the determinations in terms of type of parameter and sample. In gas emissions, the study addressed fluorine compound analysis. In liquid samples, AAS and ICP‐OES techniques were compared, validating the methods by using reference materials and participating in CALITAX and AQUACHECK intercomparison rounds on wastewater analysis. In solid samples, ICP‐OES and XRF techniques were compared, validating the methods by participating in International Proficiency Tests of Analytical Geochemistry Laboratories (GEOPT‐7, GEOPT‐8 and GEOPT‐9). The selective electrode determination of fluorine in gas emissions yields good results. The study shows that toxicity can be determined in liquid and solid samples by the bioluminescence assay. In liquid samples, good results were found for metal elements analysis by AAS and ICP‐OES, the latter being better. Finally, in solid wastes the ICP‐OES technique has advantages in analysing minor elements compared with XRF, whereas XRF is more suitable for analysing major elements, as it is a faster, more reproducible technique.

Digitalization can drive the sustainable development of society and industry. However, a lot of the opportunities are tightly related to the risks. This chapter investigates how academic performance in terms of scientific publications at the intersection of digitization, sustainable development, and industry brings added value to the research field. The analysis focuses on the academic papers that research the relationship between digitalization, sustainable development, and industry, analyzing comparatively two primary academic databases, Scopus and Web of Science (WoS). To do that, two samples of scientific publications were investigated. The first sample comprised 703 documents indexed in WoS, while the second was formed by 566 documents indexed in Scopus. The analyzed period for WoS is 1996–2022, while for Scopus is 2000–2022. The empirical results indicated that the research field's primary issues include digitalization, digital transformation, the construction industry, sustainability, COVID-19, and innovation for both WoS and Scopus. The most relevant authors on this cross-cutting subject in the WoS database are Beier G., Aigbavboa C., and Kumar M. In contrast, in the Scopus database, we found Beier G., Ghobakhloo M., and Iranmanesh M. At the same time, the most typical journals are the International Journal of Production Research, Sustainability, and Computers in Industry for WoS and Sustainability, Journal of Cleaner Production, and Procedia CIRP for Scopus.

Purpose: This study presents a comprehensive bibliometric analysis to explore the evolving role of artificial intelligence (AI) in the financial sector, emphasizing the breadth and depth of research in this dynamic field through science mapping.

Need for the Study: The advancement of AI within the financial sector heralds a significant transformation, altering the traditional methodologies financial entities utilize to confront industry-specific hurdles and seize opportunities.

Methodology: The investigation spans articles from the Web of Science databases, covering a total of 295 documents indexed in WoS from 1997 to 2023, highlighting the rapid growth in scholarly output particularly in recent years. This growth mirrors the technological advancements in AI and its expanding applications in financial domains such as risk management, decision-making, and auditing.

Findings: The chapter aims to identify leading researchers, journals, organizations, and countries in AI finance research, investigate geographical research focuses, uncover key keywords and research clusters, and delve into the conceptual, social, and intellectual foundations of primary research publications.

Practical Implications: Despite its strengths, the study provides valuable insights and a foundation for future research to explore alternative metrics and qualitative content analyses, aiming to offer deeper insights into the impact of AI on finance.

This paper aims to report a comprehensive analysis of literature on stakeholder relationships towards identifying patterns of relationships within the off-site construction context.

Key scholarly databases were accessed and after a filtering process, 74 relevant papers were retrieved for analysis. The papers were analysed using qualitative content analysis and scientometric techniques through the application of software Leximancer and VOSviewer.

Research synthesis methods used in the present study generate compatible results. Through text mining analysis, the key themes identified in the off-site construction stakeholder relationships literature included “collaboration”, “building information modelling”, “social network analysis”, supply chain. As a finding by scientometric analysis, collaboration, BIM, supply chain management, housing and social network analysis were the most frequently entered keywords context of off-site construction. Regarding authorship pattern, the whole network of collaboration was fragmented into multiple isolated clusters, implying that the authors had tendency to cooperate in small groups.

The paper can bring together an important area of research not previously studied in detail. It will primarily assist academics in the first instance; however, the research leads to important findings that will ultimately assist policymakers and practitioners better understand factors affecting stakeholder relationships and in particular network thinking and collaborative mind-sets.

The review contributes a needed systematic and theoretical foundation for future stakeholder relationship studies and practices in off-site construction sector. It provides the basis for future studies and is a seminal analysis of stakeholder management and off-site construction. The scientometric methodology offers scholars a different approach to analysing and visualising literature reviews.

Faculty participation in the assurance of learning (AoL) is requisite both for the effective operation of the system and for accreditation compliance, but faculty often resist engaging in AoL tasks. The purpose of this paper is to provide specific recommendations to address faculty concerns and to guide AoL systems toward maturity.

This paper provides a comprehensive model of faculty resistance perspectives aligned to AoL maturity, provides specific responses to faculty resistance and introduces success markers of progress toward maturity.

Specifically, a three-stage model of AoL system maturity is presented and aligned with five faculty perspectives. For each faculty perspective, responses targeting causal factors are proposed and signs of progress toward the next level of faculty engagement are highlighted.

Faculty and AoL leaders will be able to identify their current stage of AoL system maturity and implement practical solutions to move to the next stage of system maturity.

Understanding the motivations for faculty resistance will facilitate more meaningful and effective internal interactions as a school seeks to improve its AoL system. In turn, a more effective AoL system will promote better learning experiences for students; and better learning allows students to become productive in their chosen careers more quickly, thus improving society as a whole.

To the knowledge, no prior paper has organized faculty resistance along a maturity continuum, provided targeted responses based on the level of maturity or included signs that indicate growth toward the next level of maturity.

The purpose of this paper is to explore whether attention, emotion, and cognitive regulation (CR) may be strategies to advance one’s ethnic identity.

The paper is presented in three parts. The first section discusses integrative inquiry (INIQ) (Bresciani Ludvik et al., 2016), a mindfulness methodology and mindful inquiry training program, as a potential pathway to help mitigate stress and enhance healthy development and well-being strategies that combat stressors related to ethnic and racial identity; and increase opportunities for positive ethnic identity development. INIQ was designed to influence areas of the brain associated with attention regulation, emotion regulation, and CR in order to decrease stress and anxiety, and heighten executive functions of undergraduate and graduate students. The second section discusses an exploratory study to see whether INIQ resulted in higher mean scores for participants on their ethnic identity, as assessed by the multigroup ethnic identity measure (Phinney, 1992).

The results indicated that there was a significant increase in pre-test and post-test scores for mindfulness (p=0.001) as well as the dependent measure for learning exploration (p=0.028) among 30 undergraduate, master’s- and doctoral-seeking students. There was also a non-significant increase for clear understanding (p=0.15) and overall ethnic identity achievement (p=0.387); and non-significant decrease for ethnic belonging (p=0.424).

These findings suggest that INIQ may increase students’ ethnic learning exploration, which is an important process in ethnic identity development (Phinney and Ong, 2007). This study also suggests that INIQ increases mindfulness in participants. The authors conclude with a discussion and recommendations to future INIQ and other diversity centered student support practitioners interested in influencing positive ethnic identity formation.

This study aims to characterize, quantitatively and qualitatively, the existing research on popular reporting (PR) in the public sector, to synthesize and evaluate its current state. An overview of published research in this field will ultimately allow us to identify trends and opportunities for future research.

The paper combines both quantitative and qualitative analyses of scientific papers selected from the Web of Science (WoS) and Scopus databases. It analyzes mainly the evolution of production over the years, areas of knowledge, authors and their affiliations, methodological approaches, countries and jurisdictions and research topics explored.

PR in the public sector is a topic still in an early stage of research (only 19 papers in the last eighteen years), by a very limited number of authors. Studies have mainly focused the USA and the local governments. Qualitative methods, namely case studies, have prevailed. Most of the empirical approaches have addressed possible characteristics and content of the PR. Non-empirical papers broadly have suggested PR as a tool to increase accountability.

Given its potential contribution to accountability in the public sector, it seems important that PR becomes an institutionalized practice. For this, it is necessary to deeper understand and study this matter. The development of effective practice guidance and standards by regulators and the like, would be leveraged by the contribution of academics by increasing research on this topic. The research would benefit from more authors interested in the topic and an extension to countries other than the USA and Italy, and jurisdictions other than the local governments.

To the best of the authors’ knowledge, no study so far has sought to characterizing the existing research on PR in the public sector. This study contributes by identifying trends and gaps in this research field, proposing topics for future development, which can help academics to develop research that adds to the advancement of this field. Research gaps identified point to a need to empirically confirm the impact of PR on accountability. Also, exploring about the content of PR may in the future include, among other topics, the perspective of the politicians and public managers. In addition, studying the reasons why preparers do not adhere to PR and whether jurisdictions’ institutional factors influence this decision, can advance in understanding the issues of implementing PR in the context of public sector overall.

Key performance indicators (KPIs) are in use to determine how and the extent to which the business objectives of an organization are achieved. This paper aims to evaluate the contribution of a research institute in terms of KPIs to support its process of decision-making towards, etc., innovation, sustainability and improvement.

In light of this, a systemic review was conducted on a set of relevant scholarly studies to identify the trends which shed light on the possible critical success factors to be effectively used in research institutes in association with the development of commercial agriculture. It examines whether, and if so how KPIs that are highly associated with those critical success factors are disruptive in research culture in an institute with certain organization design to promote research on innovative commercial agriculture.

The study highlighted some important aspects of commercial agriculture that showed strong links with possible critical success factors that could be used to develop a possible KPI set for a research institute. The salient features in a model performance management system with such KPIs of a research institute having strategical contribution for commercial agriculture are further elaborated.

This manuscript is a conceptual piece that advocates research institutes geared towards commercial agriculture development to begin using KPIs as part of research culture to evaluate their success. The paper suggests that commercial agriculture – perhaps, especially in developing countries – faces many challenges and using KPIs could help diagnose when and why essential processes break down. This study shows possible avenues of KPI use in research institutes that have not been very well discussed or discussed meagerly that have high potential to be integrated into successful KPIs towards innovative commercial agriculture.

The purpose of this study was to map the quantity (frequency), quality (impact) and structural indicators (correlations) of research produced on cloud computing in 48 countries and 3 territories in the Asia continent.

To achieve the objectives of the study and scientifically map the indicators, data were extracted from the Scopus database. The extracted bibliographic data was first cleaned properly using Endnote and then analyzed using Biblioshiny and VosViewer application software. In the software, calculations include citations count; h, g and m indexes; Bradford's and Lotka's laws; and other scientific mappings.

Results of the study indicate that China remained the most productive, impactful and collaborative country in Asia. All the top 20 impactful authors were also from China. The other most researched areas associated with cloud computing were revealed to be mobile cloud computing and data security in clouds. The most prominent journal currently publishing research studies on cloud computing was “Advances in Intelligent Systems and Computing.”

The study is the first of its kind which identified the quantity (frequencies), quality (impact) and structural indicators (correlations) of Asian (48 countries and 3 territories) research productivity on cloud computing. The results are of great importance for researchers and countries interested in further exploring, publishing and increasing cross country collaborations related to the phenomenon of cloud computing.