Investigating the Influence of Human Success Factors on Success Criteria and the Moderating Effect of Project Characteristics on this Relationship in the UAE Construction Industry
DOI:
https://doi.org/10.61841/ht6exv64Keywords:
project, construction, competency, characteristics, success criteriaAbstract
This paper attempted to examine the relationship between human factors such as project managers and team members competencies and projects success criteria and examine the moderating role of project characteristics on this relationship in the context of construction industry within the United Arab Emirate. The human success factors were evaluated by their influence on projects success criteria on eight criteria: schedule, budget, quality, client and team member needs, safety, absence of conflict and achieving goal. 15 indicators were identified through literature review and grouped into three distinct factors. A questionnaire has formed the basis of this research. The partial least squares (PLS) technique was applied to analyze the causal relationships between constructs and the moderating effect using the software application Smart-PLS 3.0. The paper revealed the influence of each human factor towards the success criteria of construction projects in the United Arab Emirates by valuing their standardized structural path and the moderating effect of project characteristics on the relationship between human factors and success criteria. Based on the results, project manager competencies factor has the highest influence on the success criteria of construction projects in the United Arab Emirates, and the moderating influence of project characteristics has a significant moderator effects of competencies within the construction project organization. These findings are expected to be significant contributions to UAE construction industry in toward the success completion of construction projects
Downloads
References
1. Ahadzie, D.K., Proverbs, D.G. and Olomolaiye, P.O., 2008. Critical success criteria for mass house building
projects in developing countries. International Journal of Project Management, 26(6), pp.675-687.
2. Aiken, L.S., West, S.G. and Reno, R.R., 1991. Multiple regression: Testing and interpreting interactions.
Sage.
3. Ali, M. and Beheiry, S., 2016. The applicability of just-in-time in United Arab Emirates construction
projects. Journal of Emerging Trends in Engineering and Applied Sciences, 7(2), pp.120-128.
4. Alias, Z., Zawawi, E.M.A., Yusof, K. and Aris, N.M., 2014. Determining critical success factors of project
management practice: A conceptual framework. Procedia-Social and Behavioral Sciences, 153, pp.61-69.
5. Alzahrani, J.I. and Emsley, M.W., 2013. The impact of contractors’ attributes on construction project success:
A post construction evaluation. International Journal of Project Management, 31(2), pp.313-322.
6. Alzara, M., Kashiwagi, J., Kashiwagi, D. and Al-Tassan, A., 2016. Using PIPS to minimize causes of delay in Saudi Arabian construction projects: university case study. Procedia Engineering, 145, pp.932-939.
7. Assaf, S.A. and Al-Hejji, S., 2006. Causes of delay in large construction projects. International journal of project management, 24(4), pp.349-357.
8. Aziz, R.F. and Abdel-Hakam, A.A., 2016. Exploring delay causes of road construction projects in Egypt. Alexandria Engineering Journal, 55(2), pp.1515-1539.
9. Bagozzi, R.P. and Yi, Y., 1988. On the evaluation of structural equation models. Journal of the academy of marketing science, 16(1), pp.74-94.
10. Bakar, A.H.A., Tufail, M.A., Tufail, M.N.Y.M.A. and Virgiyanti, W., 2011. Implementation of strategic management practices in the Malaysian construction industry. Pakistan Journal of Commerce and Social Sciences (PJCSS), 5(1), pp.140-154.
11. Belassi, W. and Tukel, O.I., 1996. A new framework for determining critical success/failure factors in projects. International journal of project management, 14(3), pp.141-151.
12. Chan, A.P., Scott, D. and Chan, A.P., 2004. Factors affecting the success of a construction project. Journal of construction engineering and management, 130(1), pp.153-155.
13. Chen, W.T. and Chen, T.T., 2007. Critical success factors for construction partnering in Taiwan. International
journal of project management, 25(5), pp.475-484.
14. Chen, W. T., Chen, T. T., Sheng Lu, C., & Liu, S. S. (2012) Analysing relationships among success variables
of construction partnering using structural equation modeling: a case study of Taiwan's construction industry.
Journal of Civil Engineering and Management, 18(6), 783-794.
15. Chin, W.W. and Dibbern, J., 2010. Handbook of partial least squares. How to write up and report PLS
analyses. New York: Springer, pp.655-690.
16. Cserháti, G. and Szabó, L., 2014. The relationship between success criteria and success factors in
organisational event projects. International Journal of Project Management, 32(4), pp.613-624.
17. Doloi, H., Iyer, K.C. and Sawhney, A., 2012. Structural equation model for assessing impacts of contractor's
performance on project success. International Journal of Project Management, 29(6), pp.687-695.
18. Duarte, P.O., Alves, H.B. and Raposo, M.B., 2010. Understanding university image: a structural equation
model approach. International Review on Public and Nonprofit Marketing, 7(1), pp.21-36.
19. Elawi, G.S.A., Algahtany, M. and Kashiwagi, D., 2016. Owners’ perspective of factors contributing to project
delay: case studies of road and bridge projects in Saudi Arabia. Procedia Engineering, 145, pp.1402-1409.
20. Esposito Vinzi, V., Chin, W.W., Henseler, J. and Wang, H., 2010. Handbook of partial least squares:
Concepts, methods and applications. Heidelberg, Dordrecht, London, New York: Springer.
21. Famakin, I. O., Aje, I. O., &Ogunsemi, D. R. (2012). Assessment of success factors for joint venture
construction projects in Nigeria. Journal of Financial Management of Property and Construction, 17(2), 153-
165.
22. Fornell, C. and Larcker, D.F., 1981. Evaluating structural equation models with unobservable variables and
measurement error. Journal of marketing research, 18(1), pp.39-50.
23. Fornell, C. and Bookstein, F.L., 1982. Two structural equation models: LISREL and PLS applied to
consumer exit-voice theory. Journal of Marketing research, 19(4), pp.440-452.
24. Fortune, J. and White, D., 2006. Framing of project critical success factors by a systems model. International
journal of project management, 24(1), pp.53-65.
25. Gudienė, N., Banaitis, A. and Banaitienė, N., 2013. Evaluation of critical success factors for construction
projects–an empirical study in Lithuania. International journal of strategic property management, 17(1),
pp.21-31.
26. Gudienė, N., Banaitis, A., Podvezko, V. and Banaitienė, N., 2014. Identification and evaluation of the critical
success factors for construction projects in Lithuania: AHP approach. Journal of Civil Engineering and
Management, 20(3), pp.350-359.
27. Hair Jr, J.F., Hult, G.T.M., Ringle, C. and Sarstedt, M., 2016. A primer on partial least squares structural
equation modeling (PLS-SEM). Sage Publications.
28. Hair, J.F., Ringle, C.M. and Sarstedt, M., 2011. PLS-SEM: Indeed a silver bullet. Journal of Marketing theory
and Practice, 19(2), pp.139-152.
29. Henseler, J., Ringle, C.M. and Sinkovics, R.R., 2009. The use of partial least squares path modeling in
international marketing. In New challenges to international marketing (pp. 277-319). Emerald Group
Publishing Limited.
30. Ho, R., 2006. Handbook of univariate and multivariate data analysis and interpretation with SPSS. Chapman
and Hall/CRC.
31. Hwang, B.G., Zhao, X. and Ng, S.Y., 2013. Identifying the critical factors affecting schedule performance of
public housing projects. Habitat International, 38, pp.214-221.
32. Ihuah, P.W., Kakulu, I.I. and Eaton, D., 2014. A review of Critical Project Management Success Factors (CPMSF) for sustainable social housing in Nigeria. International Journal of Sustainable Built Environment, 3(1), pp.62-71.
33. Iacobucci, D. (2010) Structural equations modeling: Fit indices, sample size, and advanced topics. Journal of Consumer Psychology, 20(1), 90-98.
34. Iyer, K.C. and Jha, K.N., 2006. Critical factors affecting schedule performance: Evidence from Indian construction projects. Journal of construction engineering and management, 132(8), pp.871-881.
35. Jha, K.N. and Iyer, K.C., 2007. Commitment, coordination, competence and the iron triangle. International Journal of Project Management, 25(5), pp.527-540.
36. Lehtiranta, L., Kärnä, S., Junnonen, J. M., &Julin, P. (2012) The role of multi-firm satisfaction in construction project success. Construction Management and Economics, 30(6), 463-475.
37. Locatelli, G., Littau, P., Brookes, N. J., & Mancini, M. (2014) Project characteristics enabling the success of
megaprojects: An empirical investigation in the energy sector. Procedia-Social and Behavioral Sciences, 119,
625-634
38. Long, N.D., Ogunlana, S., Quang, T. and Lam, K.C., 2004. Large construction projects in developing
countries: a case study from Vietnam. International Journal of project management, 22(7), pp.553-561.
39. Meng, X. (2012) The effect of relationship management on project performance in construction. International
journal of project management, 30(2), 188-198.
40. Mukhtar, M.M., Amirudin, R.B., Sofield, T. and Mohamad, I.B., 2017. Critical success factors for public
housing projects in developing countries: a case study of Nigeria. Environment, Development and
Sustainability, 19(5), pp.2039-2067.
41. Müller, R. and Jugdev, K., 2012. Critical success factors in projects: Pinto, Slevin, and Prescott–the
elucidation of project success. International Journal of Managing Projects in Business, 5(4), pp.757-775.
42. Müller, R. and Turner, R., 2007. The influence of project managers on project success criteria and project
success by type of project. European management journal, 25(4), pp.298-309.
43. Park, S.H., 2009. Whole life performance assessment: critical success factors. Journal of Construction
Engineering and Management, 135(11), pp.1146-1161.
44. Pinto, J.K. and Slevin, D.P., 1987. Critical factors in successful project implementation. IEEE transactions on
engineering management, (1), pp.22-27.
45. Rahman, I.A., Memon, A.H., Aziz, A.A.A. and Abdullah, N.H., 2013. Modeling causes of cost overrun in
large construction projects with partial least square-SEM approach: contractor's perspective. Research Journal
of Applied Sciences, Engineering and Technology, 5(06), pp.1963-1972.
46. Ringle, C.M., Wende, S. and Will, A., 2005. SmartPLS 2.0 (beta). University of Hamburg, Hamburg,
Germany. Computer software downloaded.< http://www. smartpls. de.
47. Sarstedt, M., Ringle, C. M., Smith, D., Reams, R., & Hair Jr, J. F. (2014) Partial least squares structural
equation modeling (PLS-SEM): A useful tool for family business researchers. Journal of Family Business
Strategy, 5(1), 105-115.
48. Shehu, Z., Endut, I. R., Akintoye, A., & Holt, G. D. (2014) Cost overrun in the Malaysian construction
industry projects: A deeper insight. International Journal of Project Management, 32(8), 1471-1480.
49. Tabish, S.Z.S. and Jha, K.N., 2012. Success traits for a construction project. Journal of Construction
Engineering and Management, 138(10), pp.1131-1138.
50. Tan, D. J-Z. and Ghazali, M.F.E., 2011. Critical Success Factors for Malaysian Contractors in International
Construction Projects Using Analytical Hierarchy Process”. EPPM. Vol. 20-21, Pp 127-138.
51. Thi, C.H. and Swierczek, F.W., 2010. Critical success factors in project management: implication from
Vietnam. Asia Pacific Business Review, 16(4), pp.567-589.
52. Toor, S.U.R. and Ogunlana, S.O., 2009. Construction professionals' perception of critical success factors for
large-scale construction projects. Construction Innovation, 9(2), pp.149-167.
53. Tumi, S.A.H., Omran, A. and Pakir, A.H.K., 2009, November. Causes of delay in construction industry in
Libya. In The International Conference on Economics and Administration(pp. 265-272).
54. Verburg, R. M., Bosch-Sijtsema, P., &Vartiainen, M. (2013) Getting it done: Critical success factors for
project managers in virtual work settings. International journal of project management, 31(1), 68-79.
55. Windapo, A. O., & Cattell, K. (2013) The South African construction industry: Perceptions of key challenges
facing its performance, development and growth. Journal of Construction in Developing Countries, 18(2), 65.
56. Wibowo, A., & Wilhelm Alfen, H. (2014) Identifying macro-environmental critical success factors and key areas for improvement to promote public-private partnerships in infrastructure: Indonesia's perspective. Engineering, Construction and Architectural Management, 21(4), 383-402.
57. Yang, L. R., Chen, J. H., & Wang, X. L. (2015) Assessing the effect of requirement definition and management on performance outcomes: Role of interpersonal conflict, product advantage and project type. International Journal of Project Management, 33(1), 67-80.
58. Yang, L. R., Huang, C. F., & Wu, K. S. (2011) The association among project manager's leadership style, teamwork and project success. International journal of project management, 29(3), 258-267.
59. Yong, Y.C. and Mustaffa, N.E., 2013. Critical success factors for Malaysian construction projects: an empirical assessment. Construction Management and Economics, 31(9), pp.959-978.
60. Yu, J.H. and Kwon, H.R., 2011. Critical success factors for urban regeneration projects in Korea. International Journal of Project Management, 29(7), pp.889-899.
61. Yusuwan, N.M. and Adnan, H., 2013. Assessing extension of time application in Malaysian construction industry: Views from professionals. Procedia-Social and Behavioral Sciences, 105, pp.54-63.
62. Zavadskas, E., Vilutiene, T., Turskis, Z. and Saparauskas, J. (2014) Multi-criteria analysis of Projects' performance in construction. Journal of archives of civil and mechanical engineering. 14, 114-121.
63. Zou, W., Kumaraswamy, M., Chung, J., & Wong, J. (2014) Identifying the critical success factors for relationship management in PPP projects. International Journal of Project Management, 32(2), 265-274.
Downloads
Published
Issue
Section
License
Copyright (c) 2020 AUTHOR
This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
