2018
DOI: 10.1080/15623599.2018.1486172
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The effects of government construction projects abandonment: stakeholders’ perspective

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Cited by 14 publications
(8 citation statements)
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References 47 publications
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“…Furthermore, the threat resulting from a change in political party in government has been identified [42][43][44]. According to Williams [44], political regime change in Ghana is widely recognised as a cause of project delay or non-completion and a general change in policy direction within the construction industry.…”
Section: Government and Politicsmentioning
confidence: 99%
“…Furthermore, the threat resulting from a change in political party in government has been identified [42][43][44]. According to Williams [44], political regime change in Ghana is widely recognised as a cause of project delay or non-completion and a general change in policy direction within the construction industry.…”
Section: Government and Politicsmentioning
confidence: 99%
“…However, the execution of projects at many local governments is faced with challenges such as non-completion to time and cost as well as project abandonment. Whereas, project abandonment among other challenges has consequential effects on all stakeholders (Damoah et al, 2018). Basically, several reasons could trigger the challenges of project execution, this include: non-compliance with the procurement laws, entering into the contract without proper and adequate legal relationship and wrong application of procurement management.…”
Section: Introductionmentioning
confidence: 99%
“…The minimum wage is determined based on economic and employment conditions; in other words, it is no longer based on decent living needs. The result of the studies [19,22,39,63,64] shows that the regional minimum wage affects the purchasing power of low-income communities through return on the stock as an intervening variable. Thus, The ninth hypothesis, H0: UMR does not affect the purchasing power of low-income people through the need to own a house as an intervening variable, and H1: UMR affects the purchasing power of low-income people through the need to own a house as an intervening variable.…”
Section: 9mentioning
confidence: 99%