Identification of crucial performance measurement factors affecting construction projects in Iraq during the implementation phase

References

• Abdulsattar, O. (2017). Performance in the construction industry in post-conflict situations – Iraq as a case study. American Journal of Engineering Research Vol. 6, issue., (9), 188–17.
   Google Scholar
• Amaratunga, D., Baldry, D., & Sarshar, M. (2001). Process improvement through performance measurement: The balanced scorecard methodology. An International Journal, 50(No. 5), 179–188. https://doi.org/10.1108/EUM0000000005677
   Google Scholar
• Arditi, D., & Gunaydin, H. M. Factors that affect process quality in the life cycle of building projects. (1998). Journal of Construction Engineering and Management, 124(3), 194–203. ASCE. https://doi.org/10.1061/(ASCE)0733-9364(1998)124:3(194)
   Web of Science ®Google Scholar
• Baruch, Y., & Holtom, B. C. (2008). Survey response rate levels and trends in organizational research. Human Relations, 61(8), 1139–1160. https://doi.org/10.1177/0018726708094863
   Web of Science ®Google Scholar
• Bekr, G. (2015). Causes of delay in public construction projects in Iraq. Jordan Journal of Civil Engineering, 9(2), 149–162. https://doi.org/10.1108/IJMPB-09-2018-0178. 2015
   Web of Science ®Google Scholar
• Blair, J., Czaja, R. F., & Blair, E. A. (2013). Designing surveys: A guide to decisions and procedures. Sage.
   Google Scholar
• Brown, D. C., Ashleigh, M. J., Riley, M. J., & Shaw, R. D. New project procurement process. (2001). Journal of Management in Engineering, 17(4), 192–201. ASCE. https://doi.org/10.1061/(ASCE)0742-597X(2001)17:4(192)
   Web of Science ®Google Scholar
• Bryman, A., & Bell, E. (2011). Business research methods. Oxford University Press, Oxford.
   Google Scholar
• Cheung, S., On, S., Henry, C. H., & Cheung, K. (2014). PPMS: A web-based construction project performance monitoring system. Automation in Construction, 13. https://doi.org/10.1016/j.autcon.2003.12.001
   Google Scholar
• Construction Industry Development Board Malaysia (CIDB). (2000). Technology foresight report. construction industry board. Malaysia: CIDB Publications.
   Google Scholar
• Construction Industry Task Force. (1998). Rethinking construction Department of the Environment, Transport and the Regions (DETR). London.
   Google Scholar
• Cooke-Davies, T. (2002). The “real” success factors on projects. International Journal of Project Management, 20(3), 185–190. https://doi.org/10.1016/S0263-7863(01)00067-9
   Google Scholar
• Cordero, R. (1989). The measurement of innovation performance in firm: An overview. Research Policy, 19:(2), 185–192. https://doi.org/10.1016/0048-7333(90)90048-B
   Web of Science ®Google Scholar
• Creative Research Systems. (2016). Creative research systems., Retrieved: 13 4 2017, from: http://www.surveysystem.com/sample-size-formula.htm.
   Google Scholar
• Dissanayaka, S. M., & Kumaraswamy, M. M. (1999). Comparing contributors to time and cost performance in building projects. Building and Environment, 34(1), 31–42. https://doi.org/10.1016/S0360-1323(97)00068-1
   Web of Science ®Google Scholar
• Dlakwa, M. N. (1990). Bureaucracy: Key obstacle to project success. AACE International Transaction, 4( ABI/INFORM Global, F), 1.
   Google Scholar
• Doz, Y. (1996). The evolution of cooperation in strategic alliances: Initial conditions or learning processes? Strategic Management Journal, 17(S1), 55–83. https://doi.org/10.1002/smj.4250171006
   Web of Science ®Google Scholar
• Dwight, R. (1999). Frameworks for measuring the performance of the maintenance system in a capital intensive organization. Doctor of Philosophy thesis, Department of Mechanical Engineering, University of Wollongong.
   Google Scholar
• Egan, J. (1998). Rethinking construction: Report of the construction task force on the scope for improving the quality and efficiency of UK construction. Department of the Environment, Transport and the Region (DETR). London.
   Google Scholar
• Elyamany, A., Ismail, B., & Zayed, T. (2007). Performance evaluating model for construction companies: Egyptian case study. Journal of Construction Engineering and Management, 133(8), 574–581. https://doi.org/10.1061/(ASCE)0733-9364(2007)133:8(574)
   Web of Science ®Google Scholar
• Emmanuelides, P. A. (1993). Towards an integrative framework of performance in product development projects. Journal of Engineering and Technology Management, 10(4), 363–392. https://doi.org/10.1016/0923-4748(93)90029-I
   Google Scholar
• Enshassi, A., Mohammed, S., & Abushaban, S. (2009). Factors affecting the performance of construction projects in the Gaza Strip. Journal of Civil Engineering and Management, 15(3), 269–280. https://doi.org/10.3846/1392-3730.2009.15.269-280
   Google Scholar
• Faridi, A., & El-Sayegh, S. (2006). Significant factors causing delay in the UAE construction industry. Journal Construction Management and Economic, 24(11), 1167–1176. https://doi.org/10.1080/01446190600827033
   Google Scholar
• Hanson, D., Mbachu, J., & Nkando, R. (2003). Causes of client dissatisfaction in the South African building industry and ways of improvement: The contractors’ perspectives, in CIDB. South Africa.
   Google Scholar
• Hester, P., & Meyers, T. (2012). Multi-criteria performance measurement for public and private sector enterprises. Applications of Management Science, 183–206. https://doi.org/10.1108/S0276-8976 2012 0000015012
   Google Scholar
• Iyer, K. C., & Jha, K. N. (2005). Factors affecting cost performance: Evidence from Indian construction projects. International Journal of Project Management, 23(4), 283–295. https://doi.org/10.1016/j.ijproman.2004.10.003
   Google Scholar
• Kagioglou, M., Cooper, R., Aouad, G., & Sexton, M. (2000). Rethinking construction: The generic design and construction process protocol. Engineering Construction and Architectural Management, 7(2), 141–153. https://doi.org/10.1108/eb021139
   Google Scholar
• Kelada, J. N., (1999). Stakeholders management: A total quality approach. Annual Quality Congress Proceedings, ASQC, Milwaukee, pp. 448–454.
   Google Scholar
• Leedy, P., & Ormrod, J. (2001). Practical research: Planning and design. Prentice-Hall.
   Google Scholar
• Liu, A., & Walker, A. (1998). Evaluation of project outcomes. Construction Management and Economics, 16(2), 209–219. https://doi.org/10.1080/014461998372493.
   Google Scholar
• Liu, J., Smith, J., Regan, M., & Palaneeswarm, E. (2015). Review of performance measurement: Implications for public–private partnerships. Built Environment Project and Asset Management, Vo. 5, 1.
   Web of Science ®Google Scholar
• Luu, T., Kim, S., Cao, H., & Park, Y. (2008). Performance measurement of construction firms in developing countries. Construction Management and Economics, 26(4), 373–386. https://doi.org/10.1080/01446190801918706.
   Google Scholar
• Maloney, W. F. (1990). Framework for analysis of performance. Journal of Construction Engineering and Management, ASCE, 116(3),399–315. https://doi.org/10.1061/(ASCE)0733-9364(1990)116:3(399)
   Web of Science ®Google Scholar
• Mbugua, L. M., Harris, P., Holt, G. D., & Olomolaiye, P. O. (1999). A framework for determining critical success factors influencing construction business performance. In: W. Hughes (ed). Procs. 15Th Annual ARCOM Conference. September 5–7, Reading: ARCOM. 1, 255–264.
   Google Scholar
• Neely, A. (1999). The performance measurement revolution: Why now and what next? International Journal of Operations & Production Management, 19(2), 205–228. https://doi.org/10.1108/01443579910247437
   Web of Science ®Google Scholar
• Neely, A. (2005). The evolution of performance measurement research: Developments in the last decade and a research agenda for the next. International Journal of Operations Production Management, 25(12), 1264–1277. https://doi.org/10.1108/01443579910247437
   Google Scholar
• Obaid, M., & Habidin, N. (2019). The effect of strategic and employee factors on project performance of Iraqi public construction project. International Journal of Innovative Technology and Exploring Engineering, 9(8). https://doi.org/10.35940/ijitee.H6719.0981119
   Google Scholar
• Ong, S., & Teh, T. (2008). Factors influencing the design and use of performance measurement systems in the Malaysian electrical and electronics industry. International Journal of Economics and Management, 2(2), 437–457.
   Google Scholar
• Pallant, J. (2001). SPSS survival manual. A step by step guide to data analysis using SPSS for Windows (Version 10–11). Open University Press.
   Google Scholar
• Pheng, L., & Chuan, Q. T. (2006). Environmental factors and work performance of project managers in the construction industry. International Journal of Project Management, 24(1), 24–37. https://doi.org/10.1016/j.ijproman.2005.06.001
   Google Scholar
• Rolstadas, A. (1998). Enterprise performance measurement. International Journal of Operations and Management, 18(9/10), 989–999. https://doi.org/10.1108/01443579810225577.
   Web of Science ®Google Scholar
• Sinclair, D., & Zairi, M. (1995). Effective process management through performance measurement: Part III-an integrated model of total quality-based performance measurement. Business Process Re-engineering & Management Journal, 1(3), 50–65. https://doi.org/10.1108/14637159510103220
   Google Scholar
• Sohail, M., Miles, D., & Cotton, A. P. (2002). Developing monitoring indicators for urban micro contracts in South Asia. International Journal of Project Management, 20(8), 583–591. https://doi.org/10.1016/S0263-7863(01)00081-3
   Google Scholar
• Tabachnick, B., & Fidell, L. (1996). Using multivariate statistics. Harper Collins College Publisher.
   Google Scholar
• Tangen, S. (2004). Performance measurement: From philosophy to practice. International Journal of Productivity and Performance Management, 53(8), 726–737. https://doi.org/10.1108/17410400410569134
   Google Scholar
• Zulu, S., & Chileshe, N. (2008). The impact of service quality on project performance: A case study of building maintenance services in Zambia, In Proc. of the 3rd, Built Environment Conference, Association of Schools of Construction of Southern Africa, Cape Town, South Africa.
   Google Scholar