Abstract
At present, in the Bangkok Metropolitan Area of Thailand, numerous construction projects are in process or have recently been brought to completion. In pursuing this work, contractors regularly face construction delay problems, many of which are likely to have been avoidable. The research objective is to survey and prioritize the factors leading to construction delays from the perspective of both the consultants and the contractors. Data were collected via a survey instrument and the Delphi technique was used as the research methodology. To identify the factors that lead to construction delays relevant to the study context, a panel of experts comprising 18 construction public company leaders and 17 project engineers and 17 project consultants, 1 from each of the largest construction contractor and consultant companies in Thailand, and 20 academics in the field of construction were invited to share their opinions. Eventually, 13 factors leading to construction delays were identified from the data collected from the expert panel. A questionnaire was generated using a Likert scale with a range of 1–5 based on the factors suggested by the experts’ opinions. A total of 17 respondents from the contractor companies and 17 respondents from the consultant companies responded to the questionnaire. The numeric value of the responses was computed using the Delphi technique. The responses reached constancy at the second round of data collection. According to the statistical analysis, a Shortage of qualified labor was the most important factor leading to construction delays, according to both the contractors’ and the consultants’ perspectives with a mean value of 4.65 and 4.53, respectively. Change orders made by owners were the second most important factor according to both the contractors and the consultants with a mean value of 4.24 and 4.28, respectively. In addition, insufficient financial liquidity on the part of the contractor ranked as the third most important reason according to both the contractors and the consultants with a mean value of 4.18 and 4.12, respectively. The outcomes are applicable to the causes of construction delay in the Bangkok Metropolitan Area of Thailand, but may not be applicable to other settings. A review of the literature suggests significant differences in relation to such matters as the regulatory environment, societal practices and expectations, economic considerations, the environment, technology, and religion across settings may have an impact on what causes construction delays.
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References
Shao Z (2015) City operator. In: the new urban area development. Springer, Berlin, Heidelberg, pp 175–180. https://doi.org/https://doi.org/10.1007/978-3-662-44958-5_19
Djajić S, Mesnard A (2015) Guest workers in the underground economy. Labour Econ 35:53–62. https://doi.org/10.1016/j.labeco.2015.04.002
Rezaee JM, Yousefi S, Chakrabortty KR (2019) Analysing causal relationships between delay factors in construction projects a case study of Iran. Int J Manag Proj Bus. https://doi.org/10.1108/IJMPB-01-2019-0020
Guo WHB, Yiu WT, González AV (2018) Does company size matter? Validation of an integrative model of safety behavior across small and large construction companies. J Saf Res 64:73–81. https://doi.org/10.1016/j.jsr.2017.12.003
Chmutina K, Rose J (2018) Building resilience: knowledge, experience and perceptions among informal construction stakeholders. Int J Disaster Risk Reduct 28:158–164. https://doi.org/10.1016/j.ijdrr.2018.02.039
Dadpour M, Shakeri E, Nazari A (2019) Analysis of stakeholder concerns at different times of construction projects using Social network Analysis (SNA). Int J Civ Eng 17:1715–1727. https://doi.org/10.1007/s40999-019-00450-1
Nasirzadeh F, Mazandaranizadeh H, Rouhparvar M (2016) Quantitative risk allocation in construction projects using cooperative-bargaining game theory. Int J Civ Eng 14:161–170. https://doi.org/10.1007/s40999-016-0011-8
Alzara M, Kashiwagi J, Kashiwagi D, Al-Tassan A (2016) Using PIPS to minimize causes of delay in Saudi Arabian construction projects: university case study. Procedia Eng 145:932–939. https://doi.org/10.1016/j.proeng.2016.04.121
Kim H, Soibelman L, Grobler F (2018) Factor selection for delay analysis using knowledge discovery in databases. Autom Constr 17:550–560. https://doi.org/10.1016/j.autcon.2007.10.001
Sweis G, Sweis R, Hammad AA, Shboul A (2016) Delays in construction projects: the case of Jordan. Int J Proj Manag 26:665–674. https://doi.org/10.1016/j.ijproman.2007.09.009
Viles E, Rudeli CN, Santilli A (2019) Causes of delay in construction projects: a quantitative analysis. Eng Constr Archit Manag. https://doi.org/10.1108/ECAM-01-2019-0024
Thangaratinam S, Redman WC (2005) The delphi technique. Obst Gynaecol 7:120–125. https://doi.org/10.1576/toag.7.2.120.27071
Grime MM, Wright G (2020) Delphi Method. In: Wiley StatsRef: Statistics Reference Online. https://doi.org/https://doi.org/10.1002/9781118445112.stat07879. Accessed 1 Mar 2020
Likert R (1932) A technique for the measurement of attitudes Archives of psychology. The Science Press, New York, pp 5–55
Sossa ZWJ, Halal W, Zarta HR (2019) Delphi method: analysis of rounds, stakeholder and statistical indicators. Foresight 21:525–544. https://doi.org/10.1108/FS-11-2018-0095
Arditi D, Nayak S, Damci A (2017) Effect of organizational culture on delay in construction. Int J Proj Manag 35:136–147. https://doi.org/10.1016/j.ijproman.2016.10.018
Kaczorek K (2016) The methodology of carrying out empirical research on the cumulative effect of the factors generating construction delays. Procedia Eng 153:256–260. https://doi.org/10.1016/j.proeng.2016.08.111
Hamzah N, Khoiry AM, Arshad I, Tawil MN, Ani CIA (2011) Cause of construction delay—theoretical framework. Procedia Eng 20:490–495. https://doi.org/10.1016/j.proeng.2011.11.192
Doloi H, Sawhney A, Iyer CK, Rentala S (2012) Analysing factors affecting delays in Indian construction projects. Int J Proj Manag 30:479–489. https://doi.org/10.1016/j.ijproman.2011.10.004
Assaf AS, Al-Hejji S (2006) Causes of delay in large construction projects. Int J Proj Manag 24:349–357. https://doi.org/10.1016/j.ijproman.2005.11.010
Sambasivan M, Soon MWY (2007) Causes and effects of delays in Malaysian construction industry. Int J Proj Manag 25:517–526. https://doi.org/10.1016/j.ijproman.2006.11.007
Alsuliman AJ (2019) Causes of delay in Saudi public construction projects. Alexandria Eng J 58:801–808. https://doi.org/10.1016/j.aej.2019.07.002
Amoatey TC, Ameyaw AY, Adaku E, Famiyeh S (2015) Analysing delay causes and effects in Ghanaian state housing construction projects. Int J Manag Proj Bus 8:198–214. https://doi.org/10.1108/IJMPB-04-2014-0035
Aziz FR (2013) Ranking of delay factors in construction projects after Egyptian revolution. Alexandria Eng J 52:387–406. https://doi.org/10.1016/j.aej.2013.03.002
Akogbe MTKR, Feng X, Zhou J (2013) Importance and ranking evaluation of delay factors for development construction projects in Benin. KSCE J Civ Eng 7:1213–1222. https://doi.org/10.1007/s12205-013-0446-2
Gardezi SSS, Manarvi AI, Gardezi SJS (2014) Time extension factors in construction industry of Pakistan. Procedia Eng 77:196–204. https://doi.org/10.1016/j.proeng.2014.07.022
Hurlimann CA, Warren-Myers G, Browne RG (2019) Is the Australian construction industry prepared for climate change. Build Environ 153:128–137. https://doi.org/10.1016/j.buildenv.2019.02.008
Dabirian S, Khanzadi M, Taheriattar R (2017) Qualitative modeling of sustainability performance in construction projects considering productivity approach. Int J Civ Eng 15:1143–1158. https://doi.org/10.1007/s40999-017-0241-4
Park K, Lee WH, Choi K, Lee HS (2019) Project risk factors facing construction management firms. Int J Civ Eng 17:305–321. https://doi.org/10.1007/s40999-017-0262-z
Wang KT, Ford ND, Chong YH, Zhang W (2018) Causes of delays in the construction phase of Chinese building projects. Eng Constr Archit Manag 25:1534–1551. https://doi.org/10.1108/ECAM-10-2016-0227
Mezher MT, Tawil W (1998) Causes of delays in the construction industry in Lebanon. Eng Constr Archit Manag 5:252–260. https://doi.org/10.1108/eb021079
Palikhe S, Kim S, Kim JJ (2019) Critical success factors and dynamic modeling of construction labour productivity. Int J C iv Eng 17:427–442. https://doi.org/10.1007/s40999-018-0282-3
Brito DMM, Evers M, Höllermann B (2017) Prioritization of flood vulnerability, coping capacity and exposure indicators through the Delphi technique: a case study in Taquari-Antas basin. Brazil, Int J Disaster Risk Reduc 24:119–128. https://doi.org/10.1016/j.ijdrr.2017.05.027
Zangenehmadar Z, Moselhi O (2016) Prioritizing deterioration factors of water pipelines using Delphi method. Meas 90:491–499. https://doi.org/10.1016/j.measurement.2016.05.001
Olawumi OT, Chan MWD (2018) Identifying and prioritizing the benefits of integrating BIM and sustainability practices in construction projects: a Delphi survey of international experts. Sustain Citi Soc 40:16–27. https://doi.org/10.1016/j.scs.2018.03.033
Boulomytis GTV, Zuffo CA, Imteaz AM (2019) Detection of flood influence criteria in ungauged basins on a combined Delphi-AHP approach. Oper Res Perspect 6:100–106. https://doi.org/10.1016/j.orp.2019.100116
Zahoor H, Chan CPA, Gao R, Utama PW (2017) The factors contributing to construction accidents in Pakistan their prioritization using the Delphi technique. Eng Constr Archit Manag. https://doi.org/10.1108/ECAM-01-2016-0027
Acknowledgement
Rajamangala University of Technology Phra Nakhon (RMUTP) generously contributed to the funding of this research. The author is very appreciative of all 72 experts from various agencies for taking the time to help us advance the direction of this research. The author is also grateful to the 17 project engineers and 17 consultant project engineers for sharing their experiences and opinions, without which this research would not have been possible.
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Rajamangala University of Technology Phra Nakhon (RMUTP) was a contributor to the fund of this research.
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All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by NK and GS-I. The first draft of the manuscript was written by NK and GS-I commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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Kongchasing, N., Sua-Iam, G. The Major Causes of Construction Delays Identified Using the Delphi Technique: Perspectives of Contractors and Consultants in Thailand. Int J Civ Eng 19, 319–338 (2021). https://doi.org/10.1007/s40999-020-00575-8
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DOI: https://doi.org/10.1007/s40999-020-00575-8