Factors and Strategies for Improving Construction Management on Sites in Mega-Projects in South Africa: An Explorative Survey
Abstract
:1. Introduction
The Study Context
2. Construction Site Management of Mega-Projects: A Perspective from Literature and Knowledge Gap
2.1. Theories for Management of Mega-Projects and the Premise of Systems Theory
2.2. Aspects Characterising Construction of Mega-Projects at Sites
3. Research Methods
3.1. Data Collection
3.2. Data Analysis
- j = 1, 2,…, k−1;
- is cumulative probability 𝑃(𝑌 ≤ 𝑗) = 𝑃(𝑌 = 1) + 𝑃(𝑌 = 2) + ⋅⋅⋅ + 𝑃(𝑌 = 𝑗) for j = 1, 2,…, k−1;
- = 𝑃(𝑌 ≤ k) = 1, so it should not be modelled;
- Yi are dependent observations which are statistically independent i = 1, 2,…, n;
- 𝑥1, 𝑥2,…, 𝑥𝑝 are p explanatory variables;
- correspond to the regression coefficients for the respective independent variables;
- are the cut-off points between categories.
4. Results
4.1. Exploratory Analysis of the Factors That Influence Construction on Sites of Mega-Projects
- Stakeholders’ engagement;
- Plant and machinery;
- Construction productivity;
- Workforce;
- Materials.
4.1.1. Component 1: Stakeholders’ Engagement
4.1.2. Component 2: Plant and Machinery
4.1.3. Component 3: Construction Productivity
4.1.4. Component 4: Workforce
4.1.5. Component 5: Materials
4.2. Evaluation of Strategies and Measures for the Management of Construction on Sites of Mega-Projects
- SM 1: Adoption of appropriate stakeholder engagement methods and ensuring transparent and effective engagement
- SM 2: Implementation of an advanced and effective communication system
- SM 3: Identification of stakeholders and common goals
- SM 4: Procurement and use of advanced and high-quality plant and machinery, including use of robotics and automation
- SM 5: Availability of competent personnel for plant and machinery operation and maintenance
- SM 6: Effective supervision and monitoring
- SM 7: Management of site for effective accessibility and operation
- SM8: Quality work and equipment management
- SM9: Ensuring availability of adequate and high-quality material
5. Discussion
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
Attributes | Factors | Sources |
---|---|---|
Stakeholders engagement | Delineation of stakeholders and their responsibility | [26,30,39,41,66] |
Dynamic collaboration | ||
Engagement methods | ||
Transparent and responsive engagement | ||
Effective communication | ||
Common goals | ||
Plant and machinery | Plant productivity | [36,43,44,45,46,48,55,58] |
Plant maintenance | ||
Robotics and automation of plant | ||
Plant operators and competence | ||
Availability of advanced Plants | ||
Plant downtime | ||
Quality of Plants | ||
Construction productivity | Accessibility and site conditions | [30,36,44,55,58,59,88,89] |
Availability of detailed drawings | ||
Construction methods and process | ||
Change in plan, design and drawings | ||
Availability of tools and equipment | ||
Supervision and inspection of work | ||
Rework | ||
Workforce | Availability of manpower | [8,36,43,44,56,58,60,61] |
Workforce involvement | ||
Work and equipment allocation | ||
Workforce discipline | ||
Monitoring of team performance | ||
Materials | Quality of material | [51,52,53,54,55,56] |
Storage facilities on site | ||
Material supply | ||
Safety and security of materials | ||
Material supervision | ||
Health and safety | Human factors | [50,71,72,73] |
H&S legislation | ||
H&S budget | ||
H&S induction, training and awareness | ||
Site working conditions (Lighting, pollution, etc.,) | ||
Social and community context | Location of the project | [64,66] |
Contribution to society and local community | ||
Community buy-in | ||
Legal framework and compensation |
SM ID | Strategic Measures (SM) | Sources |
---|---|---|
1 | Adoption of appropriate stakeholder engagement methods and ensuring transparent and effective engagement | [39] |
2 | Implementation of advanced and effective communication system | [39,40,41] |
3 | Identification of stakeholders and common goals | [90] |
4 | Procurement and use of advanced and high-quality plant and machinery including use of robotics and automation | [44,45,46,47] |
5 | Availability of competent personnel for plant and machinery operation and maintenance | [49,56] |
6 | Effective supervision and monitoring | [89,91] |
7 | Management of site for effective accessibility and operation | [44,46] |
8 | Quality work and equipment management | [44,46,48] |
9 | Ensuring availability of adequate and quality material | [51,52,53,54,56] |
10 | Current systems of construction |
References
- Cohen, B. Urbanization in Developing Countries 2006, Current Trends, Future Deloitte on Africa African Construction Trends Report. 2013. Available online: https://www.icafrica.org/fileadmin/documents/Knowledge/Deloitte_Construction_Trends_Report.pdf (accessed on 14 October 2021).
- Human Development Report 2011. Available online: http://hdr.undp.org/en/media/HDR_2011_EN_Table1.pdf (accessed on 22 April 2013).
- Zeybek, H.; Kaynak, M. Role of mega projects in sustainable urban transport in developing countries: The case of Istanbul Marmaray Project. In Proceedings of the Codatu xIII: Sustainable Development Challenges of Transport in Cities of the Developing World: Doing What Works, Ho Chi Minh City, Vietnam, 12–14 November 2008; Available online: http://www.codatu.org/english/conferences/codatu13/CodatuxIII-CDrom/codCD-Zeybek.pdf (accessed on 3 October 2021).
- Field, B.; Ofori, G. Construction and economic development—A case study. Third World Plan. Rev. 1988, 10, 41–50. [Google Scholar] [CrossRef]
- Khan, R.A. Role of construction sector in economic growth: Empirical evidence from Pakistan economy. In Proceedings of the First International Conference on Construction in Developing Countries (ICCIDC), Karachi, Pakistan, 4–5 August 2008; pp. 279–290. [Google Scholar]
- Mthalane, D.; Othman, A.A.E.; Pearl, R.G. The economic and social impacts of Site accidents on the South African society. In Proceedings of the 5th Post Graduate Conference on Construction Industry Development, Bloemfontein, South Africa, 16–18 March 2008; Verster, J.J.P., Marx, H.J., Eds.; Construction Industry Development Board: Pretoria, South Africa, 2008; pp. 1–10. [Google Scholar]
- Othman, A.A.E. A study of the causes and effects of contractors’ non-compliance with the health and safety regulations in the South African Construction Industry. J. Archit. Eng. Des. Manag. 2012, 8, 180–191. [Google Scholar] [CrossRef]
- Othman, A.A.E. Challenges of mega construction projects in developing countries. Organ. Technol. Manag. Constr. Int. J. 2013, 5, 730–746. [Google Scholar] [CrossRef]
- Shore, B.; Cross, B.J. Exploring the role of national culture in the management of large-scale international science projects. Int. J. Proj. Manag. 2005, 23, 55–64. [Google Scholar] [CrossRef]
- Erol, H.; Dikmen, I.; Atasoy, G.; Birgonul, M.T. Contemporary issues in mega construction projects. In Proceedings of the 5th International Project and Construction Management Conference (IPCMC 2018), Nicosia, Cyprus, 16–18 November 2018; pp. 1022–1035. [Google Scholar]
- Flyvbjerg, B. What you should know about megaprojects and why: An overview. Proj. Manag. J. 2014, 45, 6–19. [Google Scholar] [CrossRef] [Green Version]
- Boateng, P.; Ahiaga-Dagbui, D.; Chen, Z.; Ogunlana, S. Modelling economic risks in megaproject construction: A systemic approach. In Proceedings of the 31st Association of Researchers in Construction Management (ARCOM) Annual Conference, Lincoln, UK, 7–9 September 2015; pp. 115–124. [Google Scholar]
- Kardes, I.; Ozturk, A.; Cavusgil, S.T.; Cavusgil, E. Managing global megaprojects: Complexity and risk management. Int. Bus. Rev. 2013, 22, 905–917. [Google Scholar] [CrossRef]
- Priemus, H. Decision-making on mega-projects: Drifting on political discontinuity and market dynamics. EJTIR 2010, 10, 19–29. [Google Scholar]
- Sturup, S. Megaprojects and governability. World Acad. Sci. Eng. Technol. 2009, 30, 1031–1040. [Google Scholar]
- Frick, K.T. The cost of the technological sublime: Daring ingenuity and the new Sand Francisco-Oakland Bay Bridge. In Decision-Making on Mega-Projects: Cost-Benefit Analysis, Planning and Innovation; Priemus, H., Flyvbjerg, B., van Wee, B., Eds.; Edward Elgar Publishing Limited: Cheltenham, UK, 2006; pp. 239–262. [Google Scholar]
- Flyvbjerg, B.; Bruzelius, N.; Rothengatter, W. Megaprojects and Risk: An Anatomy of Ambition; Cambridge University Press: Cambridge, UK, 2003. [Google Scholar]
- Turk, Ž.; de Soto, B.G.; Mantha, B.R.K.; Maciel, A.; Georgescu, A. A systemic framework for addressing cybersecurity in construction. Autom. Constr. 2022, 133, 103988. [Google Scholar] [CrossRef]
- Taylor, R. Systems thinking for project management: Implications for practice and education. Acta Structilia 2010, 17, 79–103. [Google Scholar]
- Deloitte. Deloitte on Africa African Construction Trends Report. 2013. Available online: https://www2.deloitte.com/content/dam/Deloitte/fpc/Documents/secteurs/immobilier/deloitte_etude_african-construction-trends-report-2013.PDF (accessed on 3 October 2021).
- Khatleli, N. The impediments to efficient megaproject implementation in South Africa. In Proceedings of the 32nd Annual ARCOM Conference, Manchester, UK, 5–7 September 2016; Volume 2, pp. 803–812. [Google Scholar]
- Mashegoana, G.; Khatleli, N. Mega construction projects in South Africa: Cultural complexity. In Proceedings of the 11th Annual SACQSP International Conference, Johannesburg, South Africa, 16–17 September 2019. [Google Scholar]
- ConstructionReviewOnline. Top Ongoing Mega Projects in South Africa. 2021. Available online: https://constructionreviewonline.com/biggest-projects/top-ongoing-mega-projects-in-south-africa (accessed on 22 April 2021).
- Businesstech. 50 Major Projects Planned for South Africa—Including a New Mega City and Space Hub. 2020. Available online: https://businesstech.co.za/news/technology/420085/50-major-projects-planned-for-south-africa-including-a-new-mega-city-and-space-hub (accessed on 22 April 2021).
- Awuzie, B.; Ngowi, A. Towards a theory of sustainability in governance of mega-projects: An exploratory study. In Proceedings of the 13th International Conference on Organisation, Technology and Management in construction, Porec, Croatia, 27 September 2017. [Google Scholar]
- Biesenthal, C.; Clegg, S.; Mahalingam, A.; Sankaran, S. Applying institutional theories to managing megaprojects. Int. J. Proj. Manag. 2018, 36, 43–54. [Google Scholar] [CrossRef]
- Gammack, J.G.; Hobbs, V.; Pigott, D. The Book of Informatics; Cengage Learning: Southbank, Australia, 2007. [Google Scholar]
- Matar, M.; Osman, H.; Georgy, M.; Abou-Zeid, A. Sustainable construction modelling: A systems engineering approach. In Proceedings of the Conference Sustainable Construction Modelling: A Systems Engineering Approach, CIB World Building Congress Construction and Society, Brisbane, Australia, 5–9 May 2013; CIB Publication 391. Conseil International du Batiment (CIB) pour la Recherche l’Etude et la Documentation: Rotterdam, The Netherlands, 2013; pp. 383–396. Available online: https://www.irbnet.de/daten/iconda/CIB_DC27459.pdf (accessed on 15 August 2021).
- Chapman, R.J. A framework for examining the dimensions and characteristics of complexity inherent within rail megaprojects. Int. J. Proj. Manag. 2016, 34, 937–956. [Google Scholar] [CrossRef]
- Hu, Y.; Chan, A.P.C.; Le, Y.; Jin, R. From construction megaproject management to complex project management: Bibliographic analysis. J. Manag. Eng. 2015, 31, 04014052. [Google Scholar] [CrossRef] [Green Version]
- Pollack, J.; Biesenthal, C.; Sankaran, S.; Clegg, S. Classics in megaproject management: A structured analysis of three major works. Int. J. Proj. Manag. 2018, 36, 372–384. [Google Scholar] [CrossRef]
- Jia, G.; Yang, F.; Wang, G.; Hong, B.; You, R. A study of mega-project from a perspective of social conflict theory. Int. J. Proj. Manag. 2011, 29, 817–827. [Google Scholar] [CrossRef]
- Ma, H.; Zeng, S.; Lin, H.; Chen, H.; Shi, J.J. The societal governance of megaproject social responsibility. Int. J. Proj. Manag. 2017, 35, 1365–1377. [Google Scholar] [CrossRef]
- Van Marrewijk, A. The multivocality of symbols: A longitudinal study of the symbolic dimensions of the high-speed train megaproject (1995–2015). Proj. Manag. J. 2017, 48, 47–59. [Google Scholar] [CrossRef] [Green Version]
- Eweje, J.; Turner, R.; Müller, R. Maximizing strategic value from megaprojects: The influence of information-feed on decision-making by the project manager. Int. J. Proj. Manag. 2012, 30, 639–651. [Google Scholar] [CrossRef] [Green Version]
- Baccarini, D. The concept of project complexity—A review. Int. J. Proj. Manag. 1996, 14, 201–204. [Google Scholar] [CrossRef] [Green Version]
- Brockmann, C.; Brezinski, H.; Erbe, A. Innovation in construction megaprojects. J. Constr. Eng. Manag. 2016, 142, 04016059. [Google Scholar] [CrossRef] [Green Version]
- Jergeas, G.F.; Ruwanpura, J. Why cost and schedule overruns on mega oil sands projects? Pract. Period. Struct. Des. Constr. 2010, 15, 40–43. [Google Scholar] [CrossRef]
- Damayanti, R.W.; Hartono, B.; Rahadiyan, A.W. Clarifying megaproject complexity in developing countries: A literature review and conceptual study. Int. J. Eng. Bus. Manag. 2021, 13, 1–25. [Google Scholar] [CrossRef]
- Pitsis, A.; Clegg, S.; Freeder, D.; Sankaran, S.; Burdon, S. Megaprojects redefined—Complexity vs cost and social imperatives. Int. J. Manag. Proj. Bus. 2018, 11, 7–34. [Google Scholar] [CrossRef]
- Wu, G.; Zhao, X.; Zuo, J. Effects of inter-organizational conflicts on construction project added value in China. Int. J. Confl. Manag. 2018, 28, 695–723. [Google Scholar] [CrossRef]
- London, K.; Siva, J.P.S. The role of reflexive capability in relation to intellectual capital on multi international partnerships. Int. J. Proj. Manag. 2011, 29, 846–855. [Google Scholar] [CrossRef]
- Oyegoke, A.S.; Al Kiyumi, N. The causes, impacts and mitigations of delay in megaprojects in the Sultanate of Oman. J. Financ. Manag. Prop. Constr. 2017, 22, 286–302. [Google Scholar] [CrossRef]
- Lin, J.J.-C.; Yang, C.-E.; Hung, W.-H.; Kang, S.-C. Accessibility evaluation system for site layout planning—A tractor trailer example. Vis. Eng. 2013, 1, 12. [Google Scholar] [CrossRef] [Green Version]
- Edwards, D.J.; Holt, G.D. Construction plant and equipment management research: Thematic review. J. Eng. Des. Technol. 2009, 7, 186–206. [Google Scholar] [CrossRef]
- Su, X.; Andoh, A.R.; Cai, H.; Pan, J.; Kandil, A.; Said, H.M. GIS-based dynamic construction site material layout evaluation for building renovation projects. Autom. Constr. 2012, 27, 40–49. [Google Scholar] [CrossRef]
- Hendrickson, C. Project Management for Construction. 2000. Available online: http://www.ce.cmu.edu/~cth/PMBook/ (accessed on 16 October 2021).
- Aadal, H.; Rad, K.G.; Fard, A.B.; Sabet, P.G.P.; Morshedi, R. Impact of plant and equipment in construction industry. Maxwell Science Publication. Res. J. Appl. Sci. Eng. Technol. 2014, 7, 2371–2375. [Google Scholar] [CrossRef]
- Bahru, J.; Malaysia, T. Major emergency assessor. In University Manual of Occupational Safety and Health; University Teknologi Malaysia: Johor Darul Ta’zim, Malaysia, 2014. [Google Scholar]
- Edward, D.J.; Holt, H.G. Construction workers health and safety knowledge: Initial observation on some test—Result data. J. Eng. Des. Technol. 2008, 6, 65–68. [Google Scholar] [CrossRef]
- Onabule, P. Waste Dumpers Turning to West Africa. 2014. Available online: https://www.nytimes.com/1988/07/17/world/waste-dumpers-turning-to-west-africa.html (accessed on 12 September 2021).
- Arslan, H.; Nilay, C.; Salgin, B. Construction and demolition waste management in Turkey. In Waste Management—An Integrated Vision; Rebellón, L.F.M., Ed.; InTechOpen: London, UK, 2012; Available online: https://www.intechopen.com/chapters/40493 (accessed on 14 October 2021). [CrossRef] [Green Version]
- Formoso, C.T.; Isatto, E.L.; Hirota, E. Method for Waste Control in the Building Industry. In Proceedings of the IGLC-7: Seventh Conference of the International Group for Lean Construction, Berkeley, CA, USA, 26-28 July 1999. [Google Scholar]
- Fathi, M.S.; Anumba, C.J.; Carillo, P. Context awareness in construction management—Key issues & issues enabling technologies. Proceedings of The Joint International Conference on Construction Culture, Innovation and Management (CCIM), Dubai, United Arab Emirates, 26–29 November 2006. [Google Scholar]
- Sezer, A.A. Contractor use of productivity and sustainability indicators for building refurbishment. Built Environ. Proj. Asset Manag. 2015, 5, 141–153. [Google Scholar] [CrossRef]
- Alaghbari, W.; Al-Sakkaf, A.A.; Sultan, B. Factors affecting construction labour productivity in Yemen. Int. J. Constr. Manag. 2017, 19, 1–13. [Google Scholar] [CrossRef]
- Gunduz, M.; Almuajebh, M. Critical Success Factors for Sustainable Construction Project Management. Sustainability 2020, 12, 1990. [Google Scholar] [CrossRef] [Green Version]
- Makulsawtudom, A.; Emsley, M.; Sinthawanarong, K. Critical factors influencing construction productivity in Thailand. J. Constr. Dev. Ctries. 2009, 19, 53–63. [Google Scholar]
- El-Sabek, L.M.; McCabe, B.Y. Coordination Challenges of Production Planning in the Construction of International Mega-Projects in The Middle East. Int. J. Constr. Educ. Res. 2018, 14, 118–140. [Google Scholar] [CrossRef]
- Ramburan, S.; Othman, A.A.E. Improving the skills of physically disable persons for economic and social development in South Africa. In Proceedings of the International Conference on Sustainable Human Settlements for Economic and Social Development, Zambezi Sun International Hotel, Livingstone, Zambia, 2–5 May 2007; pp. 494–512. [Google Scholar]
- Georgieva, T.M. Research Infrastructure megaproject (RIMPS) Management in an ecosystem perspective: Literature Review. Organ. Technol. Manag. Constr. Int. J. 2012, 3, 333–347. [Google Scholar] [CrossRef]
- Loosemore, M.; Dainty, A.; Lingard, H. Human Resource Management in Construction Projects: Strategic and Operational Approach; Spon Press: Oxford, UK, 2003. [Google Scholar]
- Baloyi, L.; Bekker, M. Causes of construction cost and time overruns: The 2010 FIFA World Cup stadia in South Africa. Acta Structilia 2011, 18, 51–67. [Google Scholar]
- Kwena, G.N. Factors Affecting Community Participation Management of Development through Local Authority Service Delivery Action Plan: A Case Study of Kilgoris Constituency, Narok Country. Ph.D. Thesis, The Management University of Africa, Nirobi, Kenya, 2013. [Google Scholar]
- Phala, D. IDT—Social facilitation and EPWP best practice. In Proceedings of the 4th EPWP Municipal Summit, St Georges Hotel, Gauteng, South Africa, 27–28 November 2014. [Google Scholar]
- Terry, H.Y.; Thomas, S.; Martin, S. Evaluating stakeholder satisfaction during public participation in major infrastructure and construction projects: A fuzzy approach. Autom. Constr. 2013, 29, 123–135. [Google Scholar]
- Bonga, B.M. Partnership As a Strategy in Implementing Sustainable Community Development in Mandeni Municipality. Master’s Thesis, University of Zululand, Zululand, South Africa, 2012. [Google Scholar]
- Brunet, M. Making sense of a governance framework for megaprojects: The challenge of finding equilibrium. Int. J. Proj. Manag. 2021, 39, 406–416. [Google Scholar] [CrossRef]
- Aiyetan, O.A.; Das, D. Evaluation of the Factors and Strategies for Water Infrastructure Project Delivery in South Africa. Infrastructures 2021, 6, 65. [Google Scholar] [CrossRef]
- Chileshe, N.; Haupt, T.C. Industry and academia perceptions of construction management education—The case of South Africa. J. Educ. Built Environ. 2007, 2, 85–114. [Google Scholar] [CrossRef] [Green Version]
- Nawaz, A.; Su, X.; Mohi Ud Din, Q.; Khalid, M.I.; Bilal, M.; Shah, S.A.R. Identification of the H&S (Health and Safety Factors) Involved in Infrastructure Projects in Developing Countries—A Sequential Mixed Method Approach of OLMT-Project. Int. J. Environ. Res. Public Health 2020, 17, 635. [Google Scholar] [CrossRef] [Green Version]
- Zhou, X.H.; Shen, S.L.; Xu, Y.S.; Zhou, A.N. Analysis of production safety in the construction industry of China in 2018. Sustainability 2019, 11, 4357. [Google Scholar] [CrossRef] [Green Version]
- Zahoor, H.; Chan, A.P.C.; Utama, W.P.; Gao, R. A research framework for investigating the relationship between safety climate and safety performance in the construction of multi-storey buildings in Pakistan. Procedia Eng. 2015, 118, 581–589. [Google Scholar] [CrossRef] [Green Version]
- Rowe, G.; Wright, G. Expert opinions in forecasting: The role of the Delphi Technique. In Principles of Forecasting; International Series in Operations Research & Management Science; Armstrong, J.S., Ed.; Springer: Boston, MA, USA, 2001; Volume 30. [Google Scholar] [CrossRef]
- Cantrill, J.A.; Sibbald, B.; Buetow, S. The Delphi and nominal group—Techniques in health services research. Int. J. Pharm. Pract. 1996, 4, 67–74. [Google Scholar] [CrossRef]
- Fink-Hafner, D.; Dagen, T.; Dousak, M.; Novak, M.; Hafner-Fink, M. Delphi Method: Strengths and Weaknesses. Metodološki Zvezki 2019, 16, 1–19. [Google Scholar] [CrossRef]
- Brahm, C.; Kleiner, B.H. Advantages and disadvantages of group decision-making approaches. Team Perform. Manag. 1996, 2, 30–35. [Google Scholar] [CrossRef]
- Jolliffe, I.T.; Cadima, J. Principal component analysis: A review and recent developments. Phil. Trans. R. Soc. A 2016, 374, 20150202. [Google Scholar] [CrossRef]
- Velliangiria, S.; Alagumuthukrishnan, S.; Joseph, S.I.T. A Review of the Dimensionality Reduction Techniques for Efficient Computation. Procedia Comput. Sci. 2019, 165, 104–111. [Google Scholar] [CrossRef]
- Lu, P.; Wang, H.; Tolliver, D. Prediction of bridge component ratings using Ordinal Logistic Regression Model. Math. Probl. Eng. 2019, 2019, 9797584. [Google Scholar] [CrossRef]
- Williams, R.A.; Quiroz, C. Ordinal Regression Models. In SAGE Research Methods Foundations; Atkinson, P., Delamont, S., Cernat, A., Sakshaug, J.W., Williams, R.A., Eds.; SAGE Publication Limited: London, UK, 2020. [Google Scholar] [CrossRef]
- Winship, C.; Mare, R.D. Regression Models with Ordinal Variables. Am. Sociol. Rev. 1984, 49, 512–525. [Google Scholar] [CrossRef]
- Ananth, C.V.; Kleinbaum, D.G. Regression models for ordinal data: A review of methods and applications. Int. J. Epidemiol. 2016, 26, 1323–1333. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Fagerlanda, M.W.; Hosmer, D.W. A goodness-of-fit test for the proportional odds regression model. Stat. Med. 2015, 32, 2235–2249. [Google Scholar] [CrossRef] [PubMed]
- Scott, L.J.; Freese, J. Regression Models for Categorical Dependent Variables Using Stata, 3rd ed.; Stata Press: College Station, TX, USA, 2014. [Google Scholar]
- Carretero-Ayuso, M.J.; García-Sanz-Calcedo, J.; Rodríguez-Jiménez, C.E. Characterization and Appraisal of Technical Specifications in Brick Façade Projects in Spain. J. Perform. Constr. Facil. 2018, 32, 04018012. [Google Scholar] [CrossRef]
- Golabchi, A.; Guo, X.; Liu, M.; Han, S.; Lee, S.; AbouRizk, S. An integrated ergonomics framework for evaluation and design of construction operations. Autom. Constr. 2018, 95, 72–85. [Google Scholar] [CrossRef]
- Aiyetan, O.A.; Das, D. Using system dynamics modelling principles to resolve problems of rework in construction projects in Nigeria. J. Constr. Proj. Manag. Innov. 2015, 5, 1266–1295. [Google Scholar]
- Dalibi, S.G. Resultant Effects of Poor Supervision in Construction Projects in Nigeria. In Proceedings of the 6th Building and Construction Economic Round Table (BCERT-6), The Quantity Surveyors Registration Board of Nigeria (QSRBN), Abuja, Nigeria, 14–15 July 2016. [Google Scholar]
- Eyiah-Botwe, E.; Aigbavboa, C.; Thwala, W.D. Mega Construction Projects: Using stakeholder management for enhanced sustainable construction. Am. J. Eng. Res. AJER 2018, 5, 80–86. [Google Scholar]
- Tengan, C.; Aigbavboa, C. The Role of Monitoring and Evaluation in Construction Project Management. In Intelligent Human Systems Integration: Advances in Intelligent Systems and Computing; Karwowski, W., Ahram, T., Eds.; Springer: Cham, Switzerland, 2018; pp. 571–582. [Google Scholar] [CrossRef]
Respondents | Frequency | % Share |
---|---|---|
Professional engagement | ||
Project Managers | 24 | 12.70 |
Civil Engineers | 23 | 12.17 |
Planning Engineers | 6 | 3.17 |
Quantity Surveyors | 14 | 7.41 |
Safety Officers | 5 | 2.65 |
Site Agents/Supervisors/Administrators | 24 | 12.70 |
Plant and Equipment Operators | 9 | 4.76 |
Construction Contractors | 33 | 17.46 |
Civil Contractors | 43 | 22.75 |
Other related professionals (Designers/Academic, Social Facilitators etc.) | 8 | 4.23 |
Years of experience | ||
<5 years | 6 | 3.17 |
6–10 years | 59 | 31.22 |
11–15 years | 43 | 22.75 |
>15 years | 81 | 42.87 |
Participation in mega-projects | ||
Directly participated in mega-projects | 66 | 34.92 |
Indirect association with mega-projects | 85 | 44.97 |
Not associated with mega-projects but experience in other construction projects | 38 | 20.11 |
Kaiser-Meyer-Olkin Measure of Sampling Adequacy | 0.787 | |
Bartlett’s Test of Sphericity | Approx. Chi-Square | 7889.557 |
df | 496 | |
Sig. | 0.000 |
Factors | Initial | Extraction |
---|---|---|
Stakeholders’ delineation | 1.000 | 0.910 |
Dynamic Stakeholder collaboration | 1.000 | 0.919 |
Advanced stakeholder engagement methods | 1.000 | 0.626 |
Effective communication methods | 1.000 | 0.780 |
Transparent and responsive engagement | 1.000 | 0.931 |
Common goals and objectives for the project | 1.000 | 0.952 |
Ensuring effective communication among the stakeholders | 1.000 | 0.923 |
Leadership | 1.000 | 0.628 |
Plant productivity | 1.000 | 0.866 |
Plant maintenance | 1.000 | 0.656 |
Robotics and automation of plant | 1.000 | 0.917 |
Plant operators and competence | 1.000 | 0.891 |
Availability of advanced plant | 1.000 | 0.796 |
Plant downtime | 1.000 | 0.700 |
Quality of plant | 1.000 | 0.671 |
Accessibility and site conditions | 1.000 | 0.940 |
Availability of detailed drawings | 1.000 | 0.871 |
Construction methods and process | 1.000 | 0.908 |
Change in plan, design and drawings | 1.000 | 0.685 |
Availability of tools and equipment | 1.000 | 0.809 |
Supervision and inspection of work | 1.000 | 0.894 |
Rework | 1.000 | 0.869 |
Availability of manpower | 1.000 | 0.685 |
Workforce involvement | 1.000 | 0.698 |
Work and equipment allocation | 1.000 | 0.930 |
Labour discipline | 1.000 | 0.609 |
Monitoring of team performance | 1.000 | 0.635 |
Quality of material | 1.000 | 0.730 |
Storage facilities on site | 1.000 | 0.779 |
Material supply | 1.000 | 0.790 |
Safety and security of materials | 1.000 | 0.502 |
Material supervision | 1.000 | 0.780 |
Extraction method: Principal Component Analysis. |
Component | Initial Eigenvalues | Extraction Sums of Squared Loadings | Rotation Sums of Squared Loadings | ||||||
---|---|---|---|---|---|---|---|---|---|
Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % | |
1 | 8.743 | 27.321 | 27.321 | 8.743 | 27.321 | 27.321 | 5.978 | 18.683 | 18.683 |
2 | 5.729 | 17.904 | 45.225 | 5.729 | 17.904 | 45.225 | 5.912 | 18.476 | 37.159 |
3 | 3.811 | 11.910 | 57.134 | 3.811 | 11.910 | 57.134 | 5.304 | 16.576 | 53.735 |
4 | 2.679 | 8.373 | 65.508 | 2.679 | 8.373 | 65.508 | 2.767 | 8.647 | 62.382 |
5 | 1.725 | 5.390 | 70.898 | 1.725 | 5.390 | 70.898 | 2.047 | 6.397 | 68.779 |
6 | 1.505 | 4.703 | 75.600 | 1.505 | 4.703 | 75.600 | 1.655 | 5.173 | 73.952 |
7 | 1.088 | 3.400 | 79.000 | 1.088 | 3.400 | 79.000 | 1.615 | 5.048 | 79.000 |
Components/Factors | 1 | 2 | 3 | 4 | 5 |
---|---|---|---|---|---|
Stakeholders’ delineation | 0.874 | 0.188 | 0.044 | 0.060 | 0.049 |
Dynamic Stakeholder collaboration | 0.899 | 0.308 | 0.054 | 0.063 | 0.025 |
Advanced stakeholder engagement methods | 0.877 | 0.191 | 0.042 | 0.066 | 0.050 |
Effective communication methods | 0.704 | 0.122 | 0.090 | 0.056 | 0.202 |
Transparent and responsive engagement | 0.909 | 0.285 | 0.065 | 0.052 | 0.000 |
Common goals and objectives for project | 0.857 | 0.292 | 0.073 | 0.010 | −0.015 |
Ensuring effective communication among the stakeholders | 0.884 | 0.163 | 0.066 | 0.049 | 0.011 |
Leadership | 0.609 | 0.115 | 0.108 | 0.113 | −0.063 |
Plant productivity | 0.219 | 0.945 | −0.079 | −0.054 | 0.031 |
Plant maintenance | 0.220 | 0.912 | −0.063 | −0.075 | −0.003 |
Robotics and automation of plant | 0.189 | 0.867 | −0.094 | 0.006 | 0.102 |
Plant operators and competence | 0.201 | 0.934 | −0.087 | −0.076 | 0.055 |
Availability of advanced plant | 0.150 | 0.812 | −0.024 | 0.029 | 0.017 |
Plant downtime | 0.186 | 0.907 | −0.097 | −0.042 | −0.004 |
Quality of plant | 0.122 | 0.796 | 0.085 | 0.092 | −0.010 |
Accessibility and site conditions | 0.119 | −0.072 | 0.933 | 0.032 | −0.073 |
Availability of detailed drawings | −0.034 | 0.016 | 0.779 | 0.063 | −0.042 |
Construction methods and process | 0.129 | −0.067 | 0.931 | 0.030 | −0.080 |
Change in plan, design and drawings | 0.039 | 0.029 | 0.814 | −0.034 | −0.081 |
Availability of tools and equipment | 0.097 | −0.091 | 0.928 | −0.001 | −0.047 |
Supervision and inspection of work | −0.036 | 0.001 | 0.818 | 0.034 | 0.014 |
Re-work | 0.087 | −0.149 | 0.798 | −0.153 | 0.059 |
Availability of manpower | 0.124 | −0.033 | −0.042 | 0.762 | 0.179 |
Workforce involvement | 0.044 | −0.035 | 0.035 | 0.798 | 0.252 |
Work and equipment allocation | −0.008 | −0.015 | 0.069 | 0.849 | −0.216 |
Labour discipline | 0.102 | −0.007 | −0.055 | 0.625 | 0.082 |
Monitoring of team performance | 0.306 | −0.006 | −0.036 | 0.063 | 0.159 |
Quality of material | 0.024 | 0.044 | −0.065 | 0.527 | 0.704 |
Storage facilities on site | −0.001 | 0.108 | −0.051 | −0.092 | 0.761 |
Material supply | 0.083 | −0.016 | −0.094 | 0.241 | 0.839 |
Safety and security of materials | 0.040 | 0.030 | 0.026 | −0.031 | 0.025 |
Material supervision | −0.036 | 0.017 | 0.138 | −0.034 | −0.033 |
Parameter | Chi-Square Value | p-Values | Acceptable Values | Validity |
---|---|---|---|---|
Model fitting parameter (Likelihood test) | 346.62 | 0.000 | ≤0.05 | accepted |
Goodness of fit | 843.18 | 0.280 | >0.05 | accepted |
Nagelkerke (Pseudo R square) | 0.796 | ≥0.7 | accepted |
SM ID | Strategic Measures (SM) | Related Challenges | Parameter Estimate (B) | EXP(B) | Wald | Upper Bound | Lower Bound | p-Value | Significance |
---|---|---|---|---|---|---|---|---|---|
1 | Adoption of appropriate stakeholder engagement methods and ensuring transparent and effective engagement | SE, WM | 2.314 | 10.11 | 10.691 | 0.927 | 3.701 | 0.001 | Significant |
2 | Implementation of advanced and effective communication system | SE, WM, PRM | 2.179 | 8.83 | 8.348 | 0.701 | 3.657 | 0.004 | Significant |
3 | Identification of stakeholders and common goals | SE, WM, PRM | 1.717 | 5.57 | 4.926 | 0.20 | 3.23 | 0.026 | Significant |
4 | Procurement and use of advanced and high-quality plant and machinery including use of robotics and automation | PMM, PRM | 1.54 | 4.65 | 4.187 | 0.06 | 3.01 | 0.041 | Significant |
5 | Availability of competent personnel for plant and machinery operation and maintenance | PRM, WM, PMM | 3.535 | 34.30 | 20.89 | 2.02 | 5.05 | 0.000 | Significant |
6 | Effective supervision and monitoring | PRM, PMM, WM | 2.497 | 12.13 | 10.56 | 0.99 | 4.00 | 0.001 | Significant |
7 | Management of site for effective accessibility and operation | PRM, PMM, WM, MM | 1.171 | 3.23 | 3.50 | −0.05 | 2.39 | 0.061 * | Significant |
8 | Quality work and equipment management | WM, PPM, PRM, SE | 0.49 | 1.63 | 0.56 | −0.79 | 1.77 | 0.45 ** | Not significant |
9 | Ensuring availability of adequate and quality material | MM, PRM | 1.214 | 3.37 | 2.74 | −0.22 | 2.65 | 0.09 * | Significant |
10 | Current systems of construction | 0 | 1 | ||||||
Cronbach’s α | 0.83 |
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Aiyetan, A.O.; Das, D.K. Factors and Strategies for Improving Construction Management on Sites in Mega-Projects in South Africa: An Explorative Survey. Infrastructures 2022, 7, 19. https://doi.org/10.3390/infrastructures7020019
Aiyetan AO, Das DK. Factors and Strategies for Improving Construction Management on Sites in Mega-Projects in South Africa: An Explorative Survey. Infrastructures. 2022; 7(2):19. https://doi.org/10.3390/infrastructures7020019
Chicago/Turabian StyleAiyetan, Ayodeji Olatunji, and Dillip Kumar Das. 2022. "Factors and Strategies for Improving Construction Management on Sites in Mega-Projects in South Africa: An Explorative Survey" Infrastructures 7, no. 2: 19. https://doi.org/10.3390/infrastructures7020019
APA StyleAiyetan, A. O., & Das, D. K. (2022). Factors and Strategies for Improving Construction Management on Sites in Mega-Projects in South Africa: An Explorative Survey. Infrastructures, 7(2), 19. https://doi.org/10.3390/infrastructures7020019