Modelling construction completion cost in Ghana public sector building projects

Coffie, George Harrison; Aigbavboa, Clinton; Thwala, Wellington Didibhuku

doi:10.1007/s42107-019-00165-7

Cited by 9 publications

(5 citation statements)

References 24 publications

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“…where Z is the evaluation score, which reflects the evaluation of the actual case. More details on Equations (4)- (12) have been stated by Zadeh [78]. According to the factor sets and the weight of each factor presented in Table 8, a comprehensive evaluation of the value of GRBs in Nanjing was conducted, and the evaluation sequence was performed proceeding from low-level to high-level.…”

Section: (5) Fuzzy Evaluation Of Three Scalesmentioning

confidence: 99%

“…Research has indicated that a GRB's value can be defined as a measurement that represents the significance and importance of green properties in satisfying homebuyers' value requirements, which is a key explanatory factor in the decision to adopt a GRB [7,8]. However, current studies about green buildings mainly focus on environmental assessment tools and methods [9,10], technology and energy research [11,12], incentive measures and developmental policy [13,14], and local case studies [15]. Few researchers have paid adequate attention to the theoretical and empirical study of GRB value [16].…”

Section: Introductionmentioning

confidence: 99%

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Proposing a Value Field Model for Predicting Homebuyers’ Purchasing Behavior of Green Residential Buildings: A Case Study in China

Yuan

2019

Sustainability

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Understanding the motivations that stimulate homebuyers’ green purchasing behavior can increase market demand for green products, especially considering the comparably low market share of green products worldwide. In this context, various studies have been conducted examining consumers’ intentions to pay for green products. Nevertheless, there is still limited research on evaluating homebuyers’ purchasing behavior toward green residential buildings. This study argues that the value of green residential buildings (GRBs) affects their adoption, and thus exerts an invisible force on homebuyers’ purchasing behavior. It also finds that field theory provides a scientific perspective on this phenomenon. Thus, this paper proposes a value field model for evaluating homebuyers’ GRB purchasing behavior based on physical field theory and psychology field theory. In particular, physical field theory provides the measurement formula, while psychological field theory explains the effect of the force stimulating homebuyers’ purchasing intention, and ultimately influencing their purchasing behavior. The initial model consisted of a field source (green perceived value), target charge (GRB demand), distance (psychological distance), and value field factor. As the value field factor was calculated to be approximately equal to 1, the final model is a composite of a field source (green perceived value), target charge (GRB demand), and distance (psychological distance). The results validate the construction of the value field model on the basis of field theory. This research contributes to the body of knowledge by analyzing GRB value and provides a clearer understanding of how GRBs and the environment combine to fulfill homebuyers’ requirements and influence their GRB purchasing behavior.

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Section: (5) Fuzzy Evaluation Of Three Scalesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Proposing a Value Field Model for Predicting Homebuyers’ Purchasing Behavior of Green Residential Buildings: A Case Study in China

Yuan

2019

Sustainability

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“…Ramanathan et al, 2012;C. T. Ramanathan et al, 2011;) Pakistan 9 (Afzal et al, 2019;Akram et al, 2017;Choudhry et al, 2014Choudhry et al, , 2018Choudhry & Rehman Nasir, 2012;Hanif et al, 2016;Maqsoom et al, 2018;Samiullah Sohu et al, 2017;Zafar et al, 2016) China 6 (Afzal et al, 2019;Lou & Yin, 2010;Ma, 2011;Mansur et al, 2019;Wang & Yuan, 2011;Yuanyue & Huimin, 2018) Ghana 5 (Asiedu et al, 2017;Asiedu & Adaku, 2019;Coffie et al, 2019) Nigeria 4 (Akinradewo et al, 2019;Akinsiku et al, 2014;Amadi & Higham, 2019;Amusan et al, 2018;Hingham, 2016) Saudi Arabia 4 (Alghonamy, 2015;Mahamid, 2013Mahamid, , 2018Seddeeq et al, 2019) South Africa 4 (Khabisi, 2012;Monyane et al, 2018;Mulalo et al, 2018 (Jung et al, 2016;Kavuma et al, 2019;Qiao et al, 2019) Vietnam 3 (S. Kim et al, 2017;S. Y. Kim et al, 2018;Pham et al, 2020) Others 21 (Afzal et al, 2019;Al-hazim et al, 2017;Alzebdeh et al, 2015;Apolot & Tindiwensi, 2013;…”

Section: Synthesis Of Resultsmentioning

confidence: 99%

Systematic Review of Cost Overrun Research in the Developed and Developing Countries

Ismail

Ramly

Hamid

2021

IJSCET

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For decades, reputation of the construction industry has been tainted by poor cost performance caused by project cost overrun. In addition, studies by scholars worldwide have also found cost overrun to be more serious in developing countries compared to the developed countries. Despite the numerous researches addressing the issue of cost overrun in the construction industry through the years, the issue remains. Acknowledging that maintaining good cost performance is a key factor of project success and that the issue has persisted for decades, this study aims to explore the distinction of cost overrun studies that has been conducted between developed nations and developing nations. In achieving this aim, a systematic literature review is performed by following the integrative steps of PSALSAR (Protocol, Search, Appraisal, Synthesis, Analysis and Report) and PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) for screening and selecting the retrieved studies. The synthesis and screening of literatures have yielded with 152 articles which are then classified into their countries, developed countries (44) and developing countries (108). The results indicated a significant difference in the domain of research on cost overrun between the 2 nations. Despite the numerous studies on cost overrun in the developing nations compared to developed nations, the majority of the studies are not directed to any specific type construction while developed nations have moved forward to focus on more specific projects. The project with the highest attention in the developed nations is transport infrastructure construction projects, particularly rail infrastructure projects. The findings of this study have shown that there have been broad studies conducted on cost overrun in both developing nations and developed nations. However, there is a slight lacking in comprehensiveness of cost overrun studies in the developing nations, perhaps future studies on cost overrun in developing nations can be directed to more specific areas of construction projects such as those that have been performed by researchers of the developed nations.

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“…The MLR analysis determined that five of the variables influenced the overruns [23]. A study of 911 building projects in Ghana also applied MLR analysis in the statistical software R and considered seven predictive variables [24]. A total of three variables were determined to influence the completion cost of the projects.…”

Section: Literature Reviewmentioning

confidence: 99%

Construction Time Estimation Function for Canadian Utility Scale Power Plants

Kabanda¹,

Romard²,

Yurtsever³

et al. 2021

Energies

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Construction time and time overruns for infrastructure projects have been frequently studied; however, the construction time of power plants has not been studied. This lack of study is problematic, as more renewable energy power plants, such as wind and solar, are planned for many jurisdictions. Accurately estimating the construction time of a power plant will assist construction planning, budget estimates, and policy development encouraging the use of more renewable sources. The construction times of utility scale power plants in Canada were studied using publicly available data. Multiple linear regression analysis techniques were applied to the data to generate construction time estimation functions for all power plants together, and for individual technologies. The analyses reveal that construction time is sensitive to jurisdiction and the decade of construction, indicating that decisions made by individual Canadian provincial governments at different times had statistically significant impacts on construction time. The analyses also indicated that construction time is a strong function of installed capacity, independent of technology. This finding suggests that large solar or wind energy facilities will encounter longer construction times similar to large hydroelectric facilities.

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Modelling construction completion cost in Ghana public sector building projects

Cited by 9 publications

References 24 publications

Proposing a Value Field Model for Predicting Homebuyers’ Purchasing Behavior of Green Residential Buildings: A Case Study in China

Proposing a Value Field Model for Predicting Homebuyers’ Purchasing Behavior of Green Residential Buildings: A Case Study in China

Systematic Review of Cost Overrun Research in the Developed and Developing Countries

Construction Time Estimation Function for Canadian Utility Scale Power Plants

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