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Abd Elsalam, M F (2021) Breaking through the classical determinants in the field of hyper urban planning. Construction Innovation, 21(4), 818-36.
Al Jassmi, H, Al Ahmad, M and Ahmed, S (2021) Automatic recognition of labor activity: a machine learning approach to capture activity physiological patterns using wearable sensors. Construction Innovation, 21(4), 555-75.
Alkhateeb, A M, Hyari, K H and Hiyassat, M A (2021) Analyzing bidding competitiveness and success rate of contractors competing for public construction projects. Construction Innovation, 21(4), 576-91.
- Type: Journal Article
- Keywords: bidding competitiveness; bidding strategy; construction procurement
- ISBN/ISSN:
- URL: https://doi.org/10.1108/CI-04-2020-0060
- Abstract:
The purpose of this paper is to analyze and evaluate bidding competitiveness and success rate of contractors bidding for public construction projects (PCPs). Additionally, this research determines the effect of work sector, contractor's classification category (experience), project size and number of bidders on contractors' bidding competitiveness, and the influence of work sector and classification category on their success rate. The data were collected through 2,296 bidding attempts for 289 tender projects that were announced by the Government Tenders Department in Jordan between 2013 and 2016. The research uses bid competitiveness percentage (BCP) to evaluate contractors' bidding competitiveness. Pearson correlation is used to investigate the correlation among variables. Hypothesis testing using ANOVA was conducted to evaluate the effect of the abovementioned factors on contractors' bidding competitiveness, and their success rate. The results of the analysis indicate that contractors' average BCP and success rate in Jordanian PCPs are 83.8% and 13.3%, respectively. The analysis also reveals that work sector, contractor's classification category, project size and number of bidders significantly affect contractors' bidding competitiveness, whereas classification category and work sector do not affect bidding success rate. Therefore, experience of contractors affects their bidding competitiveness, but does not affect their success rate. The present research uses contractors' bidding success rate as a measure to evaluate their bidding competitiveness for PCPs. The novel model of this research can be applied in any country, after considering local regulations, to measure and evaluate contractors' bidding competitiveness, and success rate when bidding for PCPs. Also, contractors cannot depend on their experience (i.e. classification category) or increasing bidding attempts to win bids and improve bidding success rate, rather than enhance their bidding strategy.
Arai, K and Morimoto, E (2021) Productivity and innovation in the Japanese construction industry. Construction Innovation, 21(4), 917-33.
Bilge, E C and Yaman, H (2021) Information management roles in real estate development lifecycle: literature review on BIM and IPD framework. Construction Innovation, 21(4), 723-42.
Bosch-Sijtsema, P, Claeson-Jonsson, C, Johansson, M and Roupe, M (2021) The hype factor of digital technologies in AEC. Construction Innovation, 21(4), 899-916.
Charlson, J and Dimka, N (2021) Design, manufacture and construct procurement model for volumetric offsite manufacturing in the UK housing sector. Construction Innovation, 21(4), 800-17.
Dharmapalan, V, O'Brien, W J, Morrice, D and Jung, M (2021) Assessment of visibility in industrial construction projects: a viewpoint from supply chain stakeholders. Construction Innovation, 21(4), 782-99.
Ghansah, F A, Owusu-Manu, D G, Ayarkwa, J, Edwards, D J and Hosseini, M R (2021) Exploration of latent barriers inhibiting project management processes in adopting smart building technologies (SBTs) in the developing countries. Construction Innovation, 21(4), 685-707.
Gharouni Jafari, K, Noorzai, E and Hosseini, M R (2021) Assessing the capabilities of computing features in addressing the most common issues in the AEC industry. Construction Innovation, 21(4), 875-98.
Guven, G and Ergen, E (2021) Tracking major resources for automated progress monitoring of construction activities: masonry work case. Construction Innovation, 21(4), 648-67.
Kapogiannis, G, Fernando, T and Alkhard, A M (2021) Impact of proactive behaviour antecedents on construction project managers' performance. Construction Innovation, 21(4), 708-22.
Kasbar, M, Staub-French, S, Pilon, A, Poirier, E, Teshnizi, Z and Froese, T (2021) Construction productivity assessment on Brock Commons Tallwood House. Construction Innovation, 21(4), 951-68.
Lavikka, R, Chauhan, K, Peltokorpi, A and Seppänen, O (2021) Value creation and capture in systemic innovation implementation: case of mechanical, electrical and plumbing prefabrication in the Finnish construction sector. Construction Innovation, 21(4), 837-56.
M.E. Sepasgozar, S, Shirowzhan, S and Loosemore, M (2021) Information asymmetries between vendors and customers in the advanced construction technology diffusion process. Construction Innovation, 21(4), 857-74.
Obi, L I, Arif, M, Awuzie, B, Islam, R, Gupta, A D and Walton, R (2021) Critical success factors for cost management in public-housing projects. Construction Innovation, 21(4), 625-47.
Ofori-Kuragu, J K and Osei-Kyei, R (2021) Mainstreaming pre-manufactured offsite processes in construction – are we nearly there?. Construction Innovation, 21(4), 743-60.
Pablo, Z, London, K, Wong, P S P and Khalfan, M (2021) Actor-network theory and the evolution of complex adaptive supply networks. Construction Innovation, 21(4), 668-84.
Salama, T, Salah, A and Moselhi, O (2021) Integrating critical chain project management with last planner system for linear scheduling of modular construction. Construction Innovation, 21(4), 525-54.
Sarvari, H, Nassereddine, H, Chan, D W M, Amirkhani, M and Md Noor, N (2021) Determining and assessing the significant barriers of transferring unfinished construction projects from the public sector to the private sector in Iran. Construction Innovation, 21(4), 592-607.
Sergeeva, N and Duryan, M (2021) Reflecting on knowledge management as an enabler of innovation in project-based construction firms. Construction Innovation, 21(4), 934-50.
Sutrisna, M, Tjia, D and Wu, P (2021) Developing a predictive model of construction industry-university research collaboration. Construction Innovation, 21(4), 761-81.
Ying, F J, O'Sullivan, M and Adan, I (2021) Simulation of vehicle movements for planning construction logistics centres. Construction Innovation, 21(4), 608-24.