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The objective of this study is to accurately predict the cost of green buildings to provide quantifiable criteria for investment decisions from investors.

This study proposes a hybrid prediction model ML-based for cost prediction of GBPs and obtains prediction parameters (PPs) associated with project characteristics through data mining (DM) techniques. The model integrates a principal component analysis (PCA) method to perform parameter dimensionality reduction (PDR) on a large number of raw variables to provide independent characteristic terms. Moreover, the support vector machine (SVM) algorithm is improved to optimize the prediction results and integrated with parameter dimensionality reduction and cost prediction.

The prediction results show that the mean absolute and relative errors of the hybrid prediction model proposed in this study are equal to 39.78 and 0.02, respectively, which are much lower than those of the traditional SVM model and MRA prediction model. Moreover, the hybrid prediction model with parameter dimensionality reduction also achieved better prediction accuracy (R² = 0.319) and superior prediction accuracy for different cost terms.

Theoretically, the hybrid prediction model developed in this study can reliably predict the cost while accurately capturing the characteristics of GBPs, which is a bold attempt at a comprehensive approach. Practically, this study provides developers with a new ML-based prediction model that is capable of capturing the costs of projects with ambiguous definitions and complex characteristics.

This chapter examines the relative influence of parents (vertical channel) and friends (horizontal channel) when deciding between employment in the public or private sector. Using a novel database and applying network analysis, the influence of peers is first measured. Next, the peer effect is compared with the impact of parental background on individual preferences. For the private sector, findings indicate that the influence (marginal effect) of friends is greater than that of parents. The opposite is observed for the public sector. However, in the case of public sector employment, the overall effect of the horizontal channel may surpass the vertical channel, as individuals typically have two parents but may have many friends. Additionally, it is found that both parents and friends exert a greater influence on women than on men.

External relational capital is the value created by an organization’s relationships with outside stakeholders, such as customers. This study introduces and examines the concept of sustainable enclothed cognition to support it, aligning rational reasons, personal values and emotions with sustainable clothing choices not only fosters envisioning sustainable learning from a user perspective but also holds the potential to help companies quickly adapt and find alternative solutions, thereby minimizing production impacts on the environment and promising the future for sustainable fashion in the industry.

This study aims to explore how sustainable enclothed cognition, combined with envisioning sustainable learning, can enhance external relational capital in the fashion industry by fostering deeper connections between fashion brands and environmentally conscious consumers. Data collection took place between May and September 2021. A survey of 211 young workers was conducted, and the data were analyzed using partial least squares-structural equation modeling (PLS-SEM).

The findings demonstrate that prioritizing sustainable enclothed cognition can satisfy consumer demands, strengthen customer relationships and enhance competitive positioning in the fashion industry. Furthermore, the study provides actionable strategies for implementing envisioning sustainable learning, highlighting its transformative role in turning consumer alignment into external relational capital. This insight inspires a new perspective on the potential of sustainable learning in the fashion industry.

This research offers a deeper understanding of how companies can strategically manage their external customer relationships by using sustainable enclothed cognition to drive eco-innovation and enhance relational capital in the sustainable fashion industry. Findings support that textile companies provide fresh insights into their innovative capacity by aligning consumer rational reasons, values and emotions with learning practices. The study also underscores the pivotal role of envisioning sustainable learning in embedding sustainability into the core of fashion industry practices, delivering both theoretical and practical guidance on achieving long-term business success through sustainability.

This paper aims to focus on the research progress of intelligent self-healing anti-corrosion coatings in the aviation field in the past few years. The paper provides certain literature review supports and development direction suggestions for future research on intelligent self-healing coatings in aviation.

This mini-review uses a systematic literature review process to provide a comprehensive and up-to-date review of intelligent self-healing anti-corrosion coatings that have been researched and applied in the field of aviation in recent years. In total, 64 articles published in journals in this field in the last few years were analysed in this paper.

The authors conclude that the incorporation of multiple external stimulus-response mechanisms makes the coatings smarter in addition to their original self-healing corrosion protection function. In the future, further research is still needed in the research and development of new coating materials, the synergistic release of multiple self-healing mechanisms, coating preparation technology and corrosion monitoring technology.

To the best of the authors’ knowledge, this is one of the few systematic literature reviews on intelligent self-healing anti-corrosion coatings in aviation. The authors provide a comprehensive overview of the topical issues of such coatings and present their views and opinions by discussing the opportunities and challenges that self-healing coatings will face in future development.

This study aims to explore the factors affecting sustainable workplace remodeling in Saudi Arabia.

A literature review was conducted, resulting in 30 factors grouped into five categories. A questionnaire was designed and tested, and stakeholders including architects/engineers (A/Es), contractors and facilities managers were surveyed to evaluate the importance of these factors. The responses were analyzed to determine the relative importance index (RII), importance rating (IR) and ranking of each factor.

All 30 factors were evaluated as “Extremely Important” and “Very Important” in the collective assessment conducted by the three stakeholder categories. The findings revealed that the key factors, unanimously highlighted by all groups, include “The highest-ranking factors Constrained budget for the project”, “Availability of an experienced contractor in the remodeling field”, “Compliance with safety codes and standards”, “Underestimation of project complexity” and “Availability of specifications”.

The study presents an approach for assessing stakeholder consensus, using the RII and Spearman’s rank correlation coefficient to analyze the results. This approach aims to improve understanding of how various stakeholders influence and perceive sustainability in construction projects.

The study offers guidance for various stakeholders, to integrate sustainable practices into their operations. It emphasizes communication, implementing cost-efficient designs and ensuring compliance with sustainability standards to enhance the longevity and efficiency of remodeled workplaces.

The study adds to the current knowledge base by providing insights into sustainable practices of workplace remodeling specific to the context of Saudi Arabia.

This study aims to explore the relationship between the innovation capacity and performance of manufacturing firms in the Ecuadorian pharmaceutical and chemical sectors using strategic foresight analysis.

From an extensive literature review, the fundamental variables related to manufacturing firms’ innovation for better performance were identified. Six hypotheses and actions were proposed related to financing, economic resources, capacities and research and development. Several scenarios were tested through foresight methodology to determine the more appropriate to be implemented by manufacturing firms over the next five years.

Scenario 01, where all the hypotheses resulted positive, has a 15.3% probability of occurrence. The results offer a relevant understanding of the behavior of the variables proposed as strategic actions for the sector.

To the best of the authors’ knowledge, foresight methodology is applied for the first time to analyze the manufacturing sector in Ecuador. The authors propose a plan of action from the strategic scenario identified in this study, supporting the development of the industrial sectors under study.

Consumers in a Metaverse have an immersive engagement with products and services. This study aims to explore the multidimensional features of the Metaverse that influence consumers’ usage and gratifications, leading to their purchase behavior.

This study uses uses and gratifications theory to examine how hedonic, utilitarian and social gratifications influence Metaverse consumers’ retail behavior. Empirical analysis (N = 291) using structural equation modeling via SmartPLS and PLSpredict validated the model’s robustness and predictive accuracy.

Metaverse retail authenticity and virtuality influenced hedonic gratifications; autonomy and virtuality affected social gratification. Hedonic and social gratifications drove purchases, while utilitarian gratification had no significant effect.

This study applies uses and gratification theory to identify Metaverse-specific motivation factors, contributing to literature and aiding the practical design and development of Metaverse retail environments.

In this study the effect of the level of economic development on inequality is estimated. The goal is to determine whether the classical Kuznets curve hypothesis (1955) is applicable to Russia. The idea of Kuznets was that income inequality first rises with economic growth on the low stages of development and then falls as the economy matures. The empirical evidence of the curve applicable for the Russian regions has been found. The reverse casualty problem by using internal and external instruments has been also taken into the consideration. For the internal instruments, the System GMM method, which implies two functions – one in first difference and the other one in levels, has been used. For the external instruments, the net oil export per capita and trade per capita as instruments have been applied. If the quadratic term is not implied, the estimations show a significant robust positive effect of economic development on inequality. Thus, it is assumed that it happens due to the fact that Russia is still on the first upbeat of the curve, and it has not yet reached sufficient levels of development to tear down inequality.

This study investigates the impact of religious orientation and patriotism on domestic tourists’ intention to revisit spiritual destinations through two distinct studies: (1) religious sites and historical landmarks and (2) cultural heritage locations.

Using convenience sampling, Study 1 (religious orientation) collected data from 445 Vietnamese tourists, and Study 2 (patriotism) collected data from 492 Vietnamese tourists. Spiritual elements were examined through social identity theory (SIT) and patriotism through the theory of reasoned action (TRA). The cognitive-affective-behavioral (CAB) model serves as the framework for both analyses. The hypotheses were tested using structural equation modeling.

Both patriotism and religious orientation had a positive indirect impact on domestic tourists’ intention to return. While attitudes toward development served as the sole mediator between patriotism and revisit intention, multiple factors mediated the relationship between religious orientation and revisit intention.

Religious marketing campaigns can enhance the destination image of churches and temples, thereby strengthening domestic tourists’ intention to revisit. Programs emphasizing patriotism should be organized to encourage the intention to revisit cultural and historical heritage sites.

This study on spirituality tourism conducted a comparative analysis of two case studies by focusing on the interplay between religious orientation and patriotism regarding revisiting intention by employing frameworks of the SIT, TRA and CAB models. It enriches the existing literature and theoretical foundations of spiritual tourism and provides valuable insights for local policymakers by highlighting the distinctions between the effects of religion and patriotism.

This study aims to provide a comprehensive bibliometric analysis of sports sponsorship research over the last 3 decades (1993–2024). By mapping the intellectual landscape of this field, the study seeks to identify key trends, prominent themes and the most influential authors and journals. Furthermore, the research addresses the ongoing challenge of evaluating the effectiveness of sponsorship investments, particularly in the digital age. The goal is to highlight emerging research areas.

This study employs a bibliometric analysis using the SPAR-4-SLR protocol to systematically review the literature on sports sponsorship from 1993 to 2024. Data were sourced from the Web of Science (WoS) database, filtering results for articles written in English and excluding non-academic publications. A combination of bibliometric techniques – co-citation, co-word and co-authorship network analysis – was applied to examine intellectual structures and trends in the field. The Bibliometrix software was used for data analysis, providing a comprehensive evaluation of research productivity, collaboration patterns and emerging themes.

The bibliometric analysis reveals a significant increase in global sports sponsorship research, with a 12.69% annual growth rate from 1993 to 2024. Key themes such as corporate social responsibility (CSR), consumer behaviour and government regulation emerged as central topics. The study also highlights growing research interest in digital sponsorships, particularly within the eSports industry. Additionally, co-authorship analysis demonstrates increasing international collaboration, with 30.2% of publications involving multiple countries. The findings provide a clearer understanding of the intellectual landscape of sports sponsorship and suggest emerging research opportunities, particularly in digital marketing and advanced data analytics.

The analysis relies solely on the WoS database, which may have excluded relevant publications indexed in other databases such as Scopus or Google Scholar. Although WoS provides high-quality data, future research should integrate multiple databases to achieve a more comprehensive coverage of the field. Additionally, this study focuses primarily on articles published in English, potentially overlooking significant contributions from non-English sources.

This study provides a unique contribution by conducting the first comprehensive bibliometric analysis of sports sponsorship research over a 30-year period (1993–2024). By applying the SPAR-4-SLR protocol, it identifies emerging research areas such as the integration of big data and the role of psychophysiological methods in measuring sponsorship effectiveness. The research also highlights the increasing importance of digital sponsorship in industries like eSports. This work offers new insights into global collaboration patterns and reveals underexplored topics like the balance between global and local sponsorship strategies, thus providing valuable directions for future research and practical applications.