TY - JOUR
T1 - Construction output modelling
T2 - a systematic review
AU - Oshodi, Olalekan
AU - Edwards, David J.
AU - lam, Ka Chi
AU - Olanipekun, Ayokunle Olubunmi
AU - Aigbavboa, Clinton Ohis
PY - 2020
Y1 - 2020
N2 - Purpose: Construction economics scholars have emphasised the importance of construction output forecasting and have called for increased investment in infrastructure projects due to the positive relationship between construction output and economic growth. However, construction output tends to fluctuate over time. Excessive changes in the volume of construction output have a negative impact upon the construction sector, such as liquidation of construction companies and job losses. Information gleaned from extant literature suggests that fluctuation in construction output is a global problem. Evidence indicates that modelling of construction output provides information for understanding the factors responsible for these changes. Methodology: An interpretivist epistemological lens is adopted to conduct a systematic review of published studies on modelling of construction output. A thematic analysis is then presented, and the trends and gaps in current knowledge are highlighted. Findings: It is observed that interest rate is the most common determinant of construction output. Also revealed is that very little is known about the underlying factors stimulating growth in the volume of investment in maintenance construction works. Further work is required to investigate the efficacy of using non-linear techniques for construction output modelling. Originality: This study provides a contemporary mapping of existing knowledge relating to construction output and provides insights into gaps in current understanding that can be explored by future researchers.
AB - Purpose: Construction economics scholars have emphasised the importance of construction output forecasting and have called for increased investment in infrastructure projects due to the positive relationship between construction output and economic growth. However, construction output tends to fluctuate over time. Excessive changes in the volume of construction output have a negative impact upon the construction sector, such as liquidation of construction companies and job losses. Information gleaned from extant literature suggests that fluctuation in construction output is a global problem. Evidence indicates that modelling of construction output provides information for understanding the factors responsible for these changes. Methodology: An interpretivist epistemological lens is adopted to conduct a systematic review of published studies on modelling of construction output. A thematic analysis is then presented, and the trends and gaps in current knowledge are highlighted. Findings: It is observed that interest rate is the most common determinant of construction output. Also revealed is that very little is known about the underlying factors stimulating growth in the volume of investment in maintenance construction works. Further work is required to investigate the efficacy of using non-linear techniques for construction output modelling. Originality: This study provides a contemporary mapping of existing knowledge relating to construction output and provides insights into gaps in current understanding that can be explored by future researchers.
KW - Construction output
KW - Forecasting
KW - Modelling
KW - Systematic review
KW - Text mining
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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85084558142&origin=recordpage
U2 - 10.1108/ECAM-03-2019-0150
DO - 10.1108/ECAM-03-2019-0150
M3 - RGC 21 - Publication in refereed journal
SN - 0969-9988
VL - 27
SP - 2959
EP - 2991
JO - Engineering, Construction and Architectural Management
JF - Engineering, Construction and Architectural Management
IS - 10
ER -