Performance management of contractor’s quantity surveyors through the use of proper documents and records

Performance management of contractor’s quantity surveyors through the use of proper documents and records

Errors in construction documents and records can have serious impacts on construction projects. These impacts are manifested mostly during the construction and post-construction stages of the projects. The errors in documents and records significantly affect the performance of quantity surveyors (QSs) working for contractors. Thus, the aim of this study was to investigate how the performance of contractor QSs could be managed using proper documents and records. A mixed approach was used to collect the required empirical data via a series of interviews and a questionnaire survey. The collected data were analysed using manual content analysis and relative important index, respectively. The results of the analysis indicate the documents and records that are significantly relevant to contractor QSs. Similarly, significant errors that can occur in those documents and records and causes of those errors also were identified. Finally, the solutions that could minimize the errors were identified and ranked according to their significance. The study findings revealed that the use of proper documentation and record management can enhance the performance of contractor QSs and ensure project success by controlling cost and time overruns.

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  • Akinradewo, O., Aghimien, D., Aigbavboa, C., & Onyia, M. (2020). Factors influencing the adoption of insurance as a risk treatment tool by contractors in the construction industry. International Journal of Construction Management. Amarachukwu, N., & Wilkinson, S. (2020). Challenges facing building code compliance in New Zealand. International Journal of Construction Management.
  • Ashworth, A., Hogg, K., & Higgs, C. (2013). Willis’s practice and procedure for the Quantity Surveyor. (13th Ed.).
  • Bandara, R. P. H. S. (2018). Strategies to minimise errors in contract documents to minimise disputes in building projects in Sri Lanka.
  • Benarroche, A. (2020). Construction document management presents unique challenges. https://www.levelset. com/blog/construction-document- management/.
  • Canteli, A. (2019). Document management in construction. Retrieved from https://www.openkm.com/blog/ document-management-in-construction. html.
  • Cartlidge D. (2017). Quantity Surveyor’s Handbook (3rd Ed.), Routledge, Abingdon, Oxon.
  • Cunningham, T. (2015). Tender documentation for construction projects - An overview. doi: 10.21427/hsx7- gx14
  • Cunningham, T. (2017). Cost control during the construction phase of the building project: The consultant quantity surveyor’s perspective. Dublin Institute of Technology.
  • Dhakal, S., Zhang, L., & Lv, X. (2020). Ontology-based semantic modelling to support knowledge-based document classification on disaster-resilient construction practices. International Journal of Construction Management.
  • Doloi, H. (2008). Application of AHP in improving construction productivity from a management perspective. Construction Management and Economics, 26(8), 841–854.
  • Dosumu, O. S., Idoro, G. I., & Onukwube, H. N. (2017). Causes of errors in construction contract documents in Southwestern, Nigeria. Journal of Construction Business and Management, 1(2), 11-23.
  • Dosumu, O. S. (2018). Perceived effects of prevalent errors in contract documents on construction projects. Australasian Journal of Construction Economics and Building, 18(1), 1-26.
  • Dosumu, O. S., & Iyagba, R. A. (2013). An appraisal of factors responsible for errors in Nigerian construction documents. Ethiopian Journal of Environmental Studies and Management, 6(1), 49-57.
  • Dosumu, O. S., & Adenuga, O. A. (2013). Causes, effects and remedies of errors in Nigerian construction documents. OTMC, 5(1):676-686.
  • Downing, R. E. (2016). The impact of contemporaneous project records on claims preparation and expert analyse. Long International, 1-18.
  • Fatawu, A. (2016). Assessing the quality of design and contract documentation and its impact on construction projects performance in Northern Ghana.
  • Fellows, R., & Liu, A. (2015. Research methods for construction. (4th Ed.). Sussex: John Wiley and Sons. Gangane, A. S., Mahatme, P. S., & Sabihuddin, S. (2017). Impact of construction documents and records on sustainable project management. International Journal of Engineering, Science and Technology, 6(3), 120-124.
  • Gunawardena, N. D., & Kumara, G. W. S. (2007). A study on site records maintained by the construction contractors. Thesis-Abstract submitted for Master of Science in Construction Project Management, Retrieved from http://dl.lib.mrt.ac.lk/handle/123/1607
  • Hanna, A. S., Calmic, R., Peterson, P. A., & Nordheim, E. V. (2002). Quantitative definition of projects impacted by change orders. International Journal of Construction Management, 128(1), 57-64.
  • Hongtao, S. (2014). Preventing cost overruns on building construction projects – An investigation. Unpub lished Masters Thesis, Dublin Institute of Technology.
  • Jasper, M. (2015). Quantity surveyor’s role in the delivery of construction projects: A review. Retrieved from: https://www.researchgate.net/publication/ 306235887_Quantity_surveyor’s_ role_in_the_delivery_of_construction_ projects_A_review
  • Larsen, J. K., Shen, G. Q. P., Lindhard, S. M., & Brunoe, T. D. (2015).
  • Factors affecting schedule delay, cost overrun, and quality level in public construction projects. Journal of Management in Engineering, 32(1).
  • Latiffi, A. A., Brahim, J., & Fathu, M. S. (2015). Roles and responsibilities of construction players in projects using Building Information Modelling (BIM). The 12th IFIP International Conference on Product Lifecycle Management.
  • Long, R. J. (2011). Defective and deficient contract documents. Long International, Incorporated.
  • Love, P. E., Edwards, D. J., & Han, S. (2011). Bad apple theory of human error and building information modelling: A systemic model for BIM implementation. A paper presented at the 2011proceedings of the 28th ISARC, Seoul, Korea.
  • Love, P. E. D., Edwards, D. J., & Irani, Z. (2008). Forensic project management: An exploratory examination of the causal behavior of design-induced rework. IEEE Transactions on Engineering Management, 55(2), 234-247
  • Maarouf, R., & Habib, R. (2011). Quantity surveying role in Construction Projects - A comparison of roles in Sweden and the UK. Retrieved from https://muep.mau.se/bitstream/handle/ 2043/13533/Thesis%20Rabie%20 %26%20Riad.pdf?sequence=2&isAllowed= y
  • Mayer, L., & Kara, A. (2020). Key lessons learnt from stakeholder management in design and build projects in Qatar. International Conference on CIC, 135-142.
  • McCusker, K., & Gunaydin, S. (2015). Research using qualitative, quantitative or mixed methods and choice based on the research. Perfusion, 30(7), 537–542.
  • Noruwa, B. I., Arewa, A. O., & Merschbrock, C. (2020). Effects of emerging technologies in minimising variations in construction projects in the UK. International Journal of Construction Management.
  • Oke, A. E., Ogunsemi, D. R., & Adeyelu, M. F. (2018). (Quantity surveyors and skills required for procurement management. International Journal of Construction Management, 18(6), 507- 516.
  • Oke, A. E., & Ogunsemi, K. O. (2020). Gap analysis of mentoring practices in quantity surveying firms. International Journal of Construction Management.
  • Okuntade, T. F. (2014). Effects of faulty contract on building maintenance. International Journal of Technology Enhancements and Merging Engineering Research, 2(3), 73-79.
  • Oluwaseum, D., Adenuga, S., & Afolarin, O. (2013). Causes effects and remedies of errors in Nigerian construction documents. Organization, Technology & Management in Construction, 5(1), 676-686.
  • Palaneeswaran, E., Ramanathan, M., & Tam, C. (2007). Rework in projects: Learning from errors. Surveying and Built Environment, 18(2), 47-58.
  • Perera, B. A. K. S., Ekanayake, B. J., Jayalath, C., & Jayathilaka, G. R. H. (2019). A study on variation-specific disputes that arise in road projects in Sri Lanka: A qualitative approach. International Journal of Construction Management.
  • Lee, C. K., & Foo, M. Y. (2020). Risk attitudes and the big five personality traits: A study on construction project practitioners in Malaysia. International Journal of Construction Management.
  • Love, P. E. D., Edwards, D. J., & Smith, J. (2005). Contract documentation and the incidence of rework in projects. Journal of Architectural Engineering and Design Management, 1(4), 247-259.
  • QS-Tuts. (2019). Roel of Quantity Surveyor – Traditional role. Quantity Surveying Practice. Retrieved from https://qstuts.com/traditional- role-of-quantity-surveyor/
  • Satankar, P., & Jain, A. (2015). Study of success factors for real estate construction project. International Research Journal of Engineering and Technology, 2, 804-808.
  • Shrivas, A., & Singla, H. K. (2020). Analysis of interaction among the factors affecting delay in construction projects using interpretive structural modelling approach. International Journal of Construction Management. Sunday, D. O., & Afolarin, A. O.
  • (2013). Causes, effects and remedies of errors in Nigerian construction documents. Organization, Technology & Management in Construction, 5(1), 676-686.
  • Sundhar, K., & Nandhini, N. (2015). A study on factors influencing construction contract claim management. International Journal of Engineering Research, 3(4).
  • Sutton, T. V. (2014). Construction Industry Documentation and Record-Keeping. Retrieved from: http://www.davidrossassociates.com/ articles/documentation_and_record_ keeping.htm#:~:text=Documentation% 20is%20very%20important%20 in,the%20course%20of%20the%20 project.
  • Tejale, D. S., & Khandekar, S. D., Patil, J. R. (2015). Analysis of construction project cost overrun by statistical method. International Journal, 3(5), 349–355.
  • Towey, D. (2017). Construction Quantity Surveying: A Practical Guide for the Contractor’s QS. (2nd Ed.). John Wiley & Sons.
  • Towey, D. (2012). Construction quantity surveying: A practical guide for the contractor’s QS, Hoboken, John Wiley & Sons.
  • Uprichard, E., & Dawney, L. (2019). Data diffraction: Challenging data integration in mixed methods research. Journal of Mixed Methods Research, 13(1), 19-32.
  • Vrouwenvelder, T., Holicky, M., & Sykora, M. (2009). Modelling of human error. Joint Workshop of COST Actions, Slovenia, pp. 55-64.
  • Yadeta, A. E. (2016). The impact of variation orders on public building projects. Journal of Construction Engineering and Management, 5(3), 86-91.