A Conceptual Framework for Sustainable Road Infrastructure Project Implementation in Developing Countries

Ametepey, Simon Ofori; Aigbavboa, Clinton; Thwala, Wellington

doi:10.3311/ccc2019-084

Cited by 3 publications

(3 citation statements)

References 15 publications

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“…, 2004; Aigbavboa, 2013). Ametepey (2019) researched sustainable road infrastructure for developing countries and used SEM. The empirical study observed that larger sample sizes increase precision in making inferences about the population.…”

Section: Methodsmentioning

confidence: 99%

Adaptability capacity framework for sustainable practices in the Ghanaian construction industry

Pim-Wusu

Aigbavboa

Thwala

2022

BEPAM

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PurposeThe urgent need to preserve the ecosystem, which faces a threat from non-environmentally-friendly anthropogenic activities, has led to the study of adaptive capacity implementation. There is an indication that the construction industries in developed countries are relatively better equipped to pursue sustainable construction than those in the developing world. Despite this, sustainable construction is yet to be established in developing countries. This research aims to develop a framework to drive and enable small and medium-sized (SME) firms in Ghana to implement adaptive capacity.Design/methodology/approachThe study adopted a quantitative approach, and 400 responses were retrieved as a sample size for which a six-factor adaptive capacity implementation framework was arrived at for SMEs in the Ghanaian construction industry. The data gathered from the respondents were analysed using IBM SPSS version 26 and AMOS version 24, and a structural equation modelling was also used to determine the work's validity based on the AMOS software.FindingsThe findings revealed that education and training, government support and a centralised information hub significantly influence adaptive capacity outcomes in Ghana.Practical implicationsIt is recommended that the government, corporate and professional institutions that desire to preserve the country's ecosystem be guided by this study's adaptive capacity implementation framework.Originality/valueThis study's novelty also lies in the integrated framework for adaptive capacity implementation developed to aid small- and medium- sized enterprises in Ghana's construction industry to ensure environmentally-friendly construction activities.

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Section: Methodsmentioning

confidence: 99%

Adaptability capacity framework for sustainable practices in the Ghanaian construction industry

Pim-Wusu

Aigbavboa

Thwala

2022

BEPAM

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“…The impartial selection of participants was paramount, especially considering the studyʹs focus on forthcoming global advancements. The number of participants within a Delphi panel is not rigidly defined, allowing for a diverse assembly of competent professionals [40,43]. Even within a compact group, the insights can be substantial and enriching.…”

Section: Selection Of Delphi Expertsmentioning

confidence: 99%

The Impact of AI in Sdg Implementation: A Delphi Study

Ametepey,

Aigbavboa,

Thwala

et al. 2024

Preprint

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Artificial Intelligence (AI) emerges as a powerful catalyst poised to reshape the global sustaina-bility landscape by facilitating the attainment of Sustainable Development Goals (SDGs). This comprehensive Delphi study meticulously probes the insights of domain experts, shedding light on the strategic utilization of AI to advance these critical sustainability objectives. Employing rigorous statistical techniques, encompassing measures of central tendency and interquartile de-viation, this research scrutinizes consensus dynamics among experts and elucidates potential variations in their viewpoints. The findings resoundingly convey experts' collective positive perspective regarding AI's pivotal role in propelling the SDGs forward. Through two iterative rounds of extensive discussions, a compelling consensus crystallizes—AI indeed exerts an overall positive impact, exemplified by a robust mean score of 78.8%. Intriguingly, distinct SDGs manifest varied propensities toward AI intervention, with Goals 6, 7, 8, 9, 11, 13, 14 and 15 basking in the radiance of highly positive impacts. Goals 1, 2, 3, 4, 5, 10 and 12 exhibit positive impact scores, indicating a juncture ripe for positive advancements. Meanwhile, Goal 16 and Goal 17 languish with neutral scores, signifying a juncture demanding nuanced deliberations about AI's impact on peace, justice, and strong institutions as well as on partnerships for the goals respectively. This paper underscores AI as a formidable instrument poised to address humanity's most pressing challenges while harmonizing seamlessly with the overarching SDG objectives. It gracefully dovetails into established practices across pivotal domains such as health, education, and resilient infrastructures, amplifying the collective global endeavor to navigate the path toward a more sustainable future.

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“…A fundamental prerequisite for selection included a foundational knowledge of AI and its applications, ensuring that participants were well equipped to contribute substantively to this study. The impartial selection of participants was paramount, given this study's emphasis on exploring forthcoming global advancements in AI and sustainability [40,43].…”

Section: Selection Of Delphi Expertsmentioning

confidence: 99%

The Impact of AI in Sustainable Development Goal Implementation: A Delphi Study

Ametepey,

Aigbavboa,

Thwala

et al. 2024

Sustainability

View full text Add to dashboard Cite

Artificial intelligence emerges as a powerful catalyst poised to reshape the global sustainability landscape by facilitating the attainment of Sustainable Development Goals (SDGs). This comprehensive Delphi study meticulously probes the insights of domain experts, shedding light on the strategic utilization of AI to advance these critical sustainability objectives. Employing rigorous statistical techniques, encompassing measures of central tendency and interquartile deviation, this research scrutinizes consensus dynamics among experts and elucidates potential variations in their viewpoints. The findings resoundingly convey experts’ collective positive perspective regarding AI’s pivotal role in propelling the SDGs forward. Through two iterative rounds of extensive discussions, a compelling consensus crystallizes—AI indeed exerts an overall positive impact, exemplified by a robust mean score of 78.8%. Intriguingly, distinct SDGs manifest varied propensities toward AI intervention, with Goals 6, 7, 8, 9, 11, 13, 14, and 15 basking in the radiance of highly positive impacts. Goals 1, 2, 3, 4, 5, 10, and 12 exhibit positive impact scores, indicating a juncture ripe for positive advancements. Meanwhile, Goal 16 and Goal 17 languish with neutral scores, signifying a juncture demanding nuanced deliberations about AI’s impact on peace, justice, and strong institutions as well as on partnerships for the goals, respectively. This paper underscores AI as a formidable instrument poised to address humanity’s most pressing challenges while harmonizing seamlessly with the overarching SDG objectives. It gracefully dovetails into established practices across pivotal domains such as health, education, and resilient infrastructures, amplifying the collective global endeavor to navigate the path toward a more sustainable future.

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A Conceptual Framework for Sustainable Road Infrastructure Project Implementation in Developing Countries

Cited by 3 publications

References 15 publications

Adaptability capacity framework for sustainable practices in the Ghanaian construction industry

Adaptability capacity framework for sustainable practices in the Ghanaian construction industry

The Impact of AI in Sdg Implementation: A Delphi Study

The Impact of AI in Sustainable Development Goal Implementation: A Delphi Study

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