Following the implementation of the Structural Adjustment Program (SAP) in 1983, Ghana’s mining sector has experienced significant growth, making Ghana one of the 10-leading producers of gold globally and the largest in Africa since 2018. To this end, the mining industry has been contributing significantly to the country’s total export earnings and the overall Gross Domestic Product (GDP). Despite its contribution to the economy, mining in Ghana has been a subject of debate in the past few years due to its diverse impacts on the host communities. This study therefore conducted a review of the implications of large-scale mining in Ghana. Findings revealed that, mining activities gravely affect the quality of water in most mining communities due to the use of toxic substances such as mercury. Mining activities also destroy forest reserves and farmlands, cause respiratory diseases and death. The study therefore suggests an effective collaboration between all relevant stakeholders in monitoring mining activities to help mitigate the impacts on the host communities.
Purpose
Industrialized construction (IC) is promoted to address some of the ills associated with the processes and products of the traditional construction approach. With several successful projects, IC is progressively becoming a preferred alternative construction approach and spurred the interest of contractors, developers and housing authorities in the technology. Increasingly, these stakeholders are keen to ascertain the compatibility and feasibility of using IC in their projects. This paper aims to develop a knowledge-based decision support framework for implementing industrialized construction projects (ICPs) that can facilitate better and informed decision-making when deciding to implement ICPs.
Design/methodology/approach
A comprehensive literature review was implemented to recruit 40 decision support factors (DSFs) and grouped into project requirements, location and site attribute, labour considerations and organizational factors. A 3-member expert panel validated the relevance of 35 DSFs, which became candidates for a structured questionnaire survey of experts in 18 countries. Statistical techniques are used to evaluate and prioritize the DSFs, leading to the development of a conceptual framework.
Findings
Statistical analysis revealed 33 significant DSFs. The top five most significant factors that could influence the decision to implement IC in a project include a stringent requirement for project quality control, suitability of the design for IC, organizational readiness and competencies in ICPs, client receptivity to IC and the need to minimize field construction time. A framework of project requirements, location and site attributes, labour considerations and organizational factors was proposed as decision support.
Practical implications
The proposed framework may help to inform decision-making regarding the implementation of IC in a project. It has wider applicability because it includes technical, managerial and operational aspects of and the required competencies for IC, which are shared between project types and territories. The prioritized DSFs could be used as a guide when implementing IC, especially in countries where bespoke decision support systems cannot be developed.
Originality/value
The paper delineated the most important DSFs that are shared between IC project types and territories and can be used to investigate the compatibility of using IC in a proposed project. This research constitutes the first exclusive attempt at delineating, quantifying and ranking the sets of decision-making factors, drawing on international data set and contributes to the empirical checklist of DSFs for ICPs.
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