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This study evaluates the drivers that stimulate the adoption of integrated digital delivery (IDD) for sustainable construction. The study provides a comprehensive understanding of the complexities of the drivers of IDD and the means by which they contribute to the broader scheme of sustainable development in the construction industry.

This study conducted a mixed-method systematic review in two phases to identify and examine how the drivers of IDD contribute to sustainable development goals (SDGs) in literature. A total of 386 articles were retrieved for bibliometric analysis with the R-programming language, and 57 articles were selected for further systematic analysis.

Conclusively, 30 drivers were identified and categorized into six classes based on their practical commonalities. The study identified “resource development drivers” as the most prominent drivers. In addition, the study identified eight value domains stimulated by the drivers of IDD to achieve three SDGs in the construction industry. The study significantly contributes to knowledge by developing a framework of drivers of IDD to achieve SDG 9 (innovation, innovation and infrastructure), SDG 11 (sustainable cities and communities) and SDG 13 (climate change).

This study makes a significant contribution to knowledge by being the foremost on the drivers of IDD. Findings from this study provide a grounded understanding of the intricacies of the drivers that encourage the adoption of IDD for sustainable construction. For policy and corporate decision-making, findings of the sustainability value domains would be valuable for informed policy drafting and corporate evaluations of IDD adoption to achieve sustainable developments goals 9, 11 and 13. Lastly, the study proposes a viable framework to achieve sustainable construction, which serves as a guide for further deliberation on IDD adoption in the construction industry.

This study draws on neoclassical and behavioural economics theories to provide an empirical insight into the effect of knowledge, costs, and social norms on damp-proofing residential buildings in Ghana.

This study used the quantitative approach involving survey data. A sample size of 242 participants was involved in the study. Applying principal component analysis on the responses from the participants, an index for damp-proofing, cost, knowledge, and social norms was derived. After generating the indexes, the ordinary least squares (OLS) regression was applied to estimate the impact of knowledge, costs, and social norms on damp-proofing.

The results from the OLS regression revealed that knowledge has a significant positive effect on damp-proofing while costs and social norms have significant negative effect on damp-proofing in Ghana. This study, therefore, concludes that although neoclassical economic factors such as knowledge and cost affect behaviour (damp-proofing), behavioural factors such as social norms also matter.

The outcome of this study calls for policymakers to consider putting in place measures that increase knowledge and promote the use of damp-proofing techniques during the construction of buildings. In addition, the study calls for scholars to partake in collaborative research amongst disciplines such as economics, psychology, and the construction industry in order to provide more innovative solutions, the key of which is finding innovative ways to damp proof buildings.

This study is original in its context as it draws on neoclassical and behavioural economics theories to provide an empirical insight into the effect of knowledge, costs, and social norms on damp-proofing of residential buildings in Ghana. This is an area that has received less attention in the areas of building biology and building pathology globally.

The purpose of this study was to identify the relationship between training and financial performance in cooperative organizations.

To achieve this goal, the fixed-effect panel regression technique was used, from a single database containing hours and amounts invested in training by 35 large Brazilian agribusiness cooperatives over 10 years as the main independent variable of the econometric model. Financial performance was operationalized by the Net Margin and ROE.

It was possible to identify a positive relationship between expenditure on training and the future rate of return and profitability of the organizations in question. The results also indicate that this relationship grows stronger over the first three years after the investments are made and ceases to exist after this period. The findings are robust with regard to a series of alternative explanations and contribute to understanding the relationship between training and organizational performance in financial terms, considering the extent and duration of training.

The originality this study is justified by the pioneering spirit of presenting direct evidence linking investment in training and financial performance and the duration of this relationship. Thus, the study makes a significant contribution to the construction of knowledge on the subject.

Though there is literature on green collaboration to supplier selections, there are hardly any empirical studies that analyze collaborative networks toward green supplier selection (GSS) from the perspective of green relational capital (GRC). Therefore, this study aims to fill this research gap by analyzing the development of collaboration toward GSS through the lenses of GRC. Also, this study explores how collaboration between institutions and their relevant green stakeholders, framed through the lens of GRC influences the selection of green suppliers.

This study uses an exploratory case study approach involving public universities in Ghana. This study is based on interviews conducted with 27 key respondents across seven universities. A purposive sampling technique was used in selecting respondents who were interviewed face-to-face with a semi-structured interview guide. Atlas ti software was used to generate themes for discussion.

This study’s findings suggest that the reason green criteria are not integrated into supplier selection is due to an insufficient collaboration among relevant green stakeholders. Through green training workshops, conferences, continuous professional development and affiliation with professional bodies, procurement practitioners can develop a collaborative network among themselves to promote the integration of green sustainability into supplier selection. Constructs that help to establish strong collaborative network identified in this study include trust and consistency, mutual benefits, obvious intentions and effective communication.

This study identified constructs promoting effective green collaboration toward the adoption of GSS. These constructs as identified in this study, provide a clear means of developing green collaboration among relevant stakeholders. By fostering and developing collaboration, the main construct of GRC, institutions can successfully integrate green sustainability into their supplier selection process, leading to long-term benefits for both the environment and the institution.

Collaboration toward integration of green sustainability into supplier selection necessitates engagement with various relevant green stakeholders, including suppliers, customers, government bodies, colleagues in sister institutions and environmental advocacy groups. This fosters a sense of shared responsibility and collective action toward sustainability goals.

This study offers empirical evidence on the impact of collaboration on supplier selection and green sustainability performance, contributing to the existing body of literature. By analyzing collaboration, a perspective of GRC, toward the integration of green sustainability into supplier selection is considered as a novel study.

Given that the literature on the links between taxation and inclusive human development is ambiguous, it is important to investigate whether the mediating influence of governance in taxation for inclusive development exists. Thus, this study aims to explore the linkages between the governance quality, taxation and inclusive human development (i.e. inequality-adjusted human development index).

This study employs the generalized method of moments (GMM) technique to establish the empirical findings on 52 African countries for the period 2010–2018. Among the existing GMM approaches, this study follows the Roodman approach, an enhancement of the Arellano and Bover techniques, which limits the proliferation of instruments. This study uses the two-step approach, which deals with issues of the heteroscedasticity as against instead the one-step procedure, which solely addresses the homoscedasticity concerns.

The following findings are established. First, there is an unconditional positive effect of taxation on inclusive human development. Second, the net effects of taxation on inclusive human development, associated with the interaction of the government revenue with governance quality variables, are positive for the most part. It is then evident that when taxation policies are combined with good governance initiatives, the ultimate impact of inclusive human development is likely to be enhanced.

This study establishes that, whereas taxation dynamics largely have a favorable incidence in promoting inclusive human development, when such taxation measures are complemented with good governance initiatives, the overall impact of inclusive human development is also likely to be positive. It follows that policies designed to promote political, economic and institutional governance should be implemented in tandem, which policies designed to boost tax performance in the sampled countries. The findings can also be understood from the perspectives that inclusive human development is likely to be boosted when taxation measures are complemented with, (1) the free and fair election and replacement of political leaders (i.e. political governance), (2) the formulation and implementation of inclusive policies for the delivery of public goods (i.e. economic governance) and (3) the respect by citizens and the state of institutions that govern interactions between them (i.e. institutional governance).

Artificial intelligence (AI) is a powerful and promising technology that can foster the performance, and competitiveness of micro, small and medium enterprises (MSMEs). However, the adoption of AI among MSMEs is still low and slow, especially in developing countries like Jordan. This study aims to explore the elements that influence the intention to adopt AI among MSMEs in Jordan and examines the roles of firm innovativeness and government support within the context.

The study develops a conceptual framework based on the integration of the technology acceptance model, the resource-based view, the uncertainty reduction theory and the communication privacy management. Using partial least squares structural equation modeling – through AMOS and R studio – and the importance–performance map analysis techniques, the responses of 471 MSME founders were analyzed.

The findings reveal that perceived usefulness, perceived ease of use and facilitating conditions are significant drivers of AI adoption, while perceived risks act as a barrier. AI autonomy positively influences both firm innovativeness and AI adoption intention. Firm innovativeness mediates the relationship between AI autonomy and AI adoption intention, and government support moderates the relationship between facilitating conditions and AI adoption intention.

The findings provide valuable insights for policy formulation and strategy development aimed at promoting AI adoption among MSMEs. They highlight the need to address perceived risks and enhance facilitating conditions and underscore the potential of AI autonomy and firm innovativeness as drivers of AI adoption. The study also emphasizes the role of government support in fostering a conducive environment for AI adoption.

As in many emerging nations, the AI adoption research for MSMEs in Jordan (which constitute 99.5% of businesses), is under-researched. In addition, the study adds value to the entrepreneurship literature and integrates four theories to explore other significant factors such as firm innovativeness and AI autonomy.

The purpose of this study is to assess the role of renewable energy as a means of promoting women’s economic participation and improving their health by mitigating climate vulnerability.

To shed light on this relationship, the authors assess the capacity of renewable energy to reduce the negative impact of climate vulnerability on women’s economic empowerment and health, using the generalized method of moments estimator for 36 African countries over the period 1990–2021.

The empirical results show that climate vulnerability reduces economic empowerment and climate vulnerability increases child mortality. These results are mitigated by the use of renewable energy. The use of renewable energy mitigates the negative impact of climate vulnerability on women’s economic empowerment. Renewable energy use also reduces the pressure of climate vulnerability on child mortality. In addition, the authors take into account regional heterogeneities and find distinct effects. The results remain stable after further robustness testing.

Renewable energy thresholds are provided at which climate vulnerability no longer reduces women’s socio-economic well-being.