Items with Index Term: Z-score

Abidali, A F (1990) A methodology for predicting company failure in the construction industry. PhD thesis, Loughborough University, UK.

Abidali, A F and Harris, F (1995) A methodology for predicting company failure in the construction industry. Construction Management and Economics, 13(3), pp. 189-196. ISSN 01446193

Cheng, M. Y.; Khitam, A. F. K.; Vu, Q. T. and Widjaja, D. D. (2026) Satellite-inspired time-frequency deep learning for predicting and assessing financial health in general contractors. Journal of Construction Engineering and Management, 152(8): 04026120, ISSN 0733-9364

Jagafa, K (2016) A framework for construction business recovery in small and medium sized privately owned companies. PhD thesis, University of Salford, UK.

Lulyalya, L P; Kikwasi, G J and Sospeter, N G (2026) Adequacy of contractor's financial capability weighing criteria in Tanzania construction projects: A quadratic and gap analysis. Journal of Engineering, Design and Technology, 24(1), pp. 24-44. ISSN 1726-0531

Perera, U S; Siriwardana, C and Pitigala Liyana Arachchi, I S (2024) Development of critical infrastructure resilience index for cities in Sri Lanka. International Journal of Disaster Resilience in the Built Environment, 15(2), pp. 193-211. ISSN 1759-5916

Shafi, J.; Ijaz, R.; Kumar, Y. and Ijaz, M. F. (2026) Prediction of air quality levels to support sustainable development goal 11 using multiple deep learning classifiers. Smart and Sustainable Built Environment, 15(5), pp. 1877-1916. ISSN 2046-6099

Zhang, Z; Koh, Z Y and Ling, F (2020) Benchmarking contractors' financial performance: Case study of Singapore. Journal of Financial Management of Property and Construction, 25(2), pp. 183-199. ISSN 1366-4387