Abstract
The financial performance of construction companies is increasingly dependent on effective asset management practices that enhance operational efficiency, reduce project delays, and strengthen long-term sustainability. Despite the construction sector’s significant contribution to Uganda’s economic development, firms within the Greater Kampala Metropolitan Area continue to experience weak profitability, high debt ratios, and cost overruns, partly attributed to poor asset management systems. This study examined the effect of asset management on the financial performance of construction companies in the region, focusing on three key dimensions: asset register accessibility, repair and maintenance scheduling, and budget tracking and forecasting. Guided by the Dynamic Capabilities Theory, the study adopted a cross-sectional survey design and collected data from 191 construction companies selected through proportionate sampling. Structured questionnaires were used to gather quantitative data, and instrument validity and reliability were confirmed through expert review and Cronbach’s Alpha. Data were analyzed using descriptive statistics, correlation analysis, and hierarchical regression. Findings revealed that all three asset management practices were positively associated with financial performance. Asset register accessibility showed a moderate significant relationship with financial performance (r = .313, p < .01), while repair and maintenance scheduling demonstrated a weaker but significant association (r = .273, p < .01). Budget tracking and forecasting also exhibited a positive relationship (r = .168, p < .01). Hierarchical regression results further indicated that asset register accessibility contributed the largest increase in explained variance (9.4%), followed by budget tracking and forecasting (2.7%), while the contribution of repair and maintenance scheduling was positive but minimal and statistically insignificant in the final model. Overall, the models explained 15% of the variance in financial performance. The study concludes that effective asset management enhances financial performance, particularly when firms maintain accessible and up-to-date asset registers and implement robust budgeting and forecasting systems. It recommends that construction firms strengthen digital asset management systems, adopt preventive maintenance schedules, and integrate data-driven financial planning tools to improve profitability, ensure timely project delivery, and enhance financial resilience in an increasingly competitive construction environment.
Keywords
- Asset Management Search this journal for Asset Management (opens in a new tab)
- Financial Performance Search this journal for Financial Performance (opens in a new tab)
- Asset Register Accessibility Search this journal for Asset Register Accessibility (opens in a new tab)
- Maintenance Scheduling Search this journal for Maintenance Scheduling (opens in a new tab)
- Budget Tracking Search this journal for Budget Tracking (opens in a new tab)
- Construction Companies Search this journal for Construction Companies (opens in a new tab)
- Greater Kampala Metropolitan Area Search this journal for Greater Kampala Metropolitan Area (opens in a new tab)
References
- Abidi, M. H., Ahmad, A., Darmoul, S., & Al-Ahmari, A. (2022). Machine Learning-Based Predictive Maintenance in Industry 4.0: A Review. Journal of Manufacturing Systems, 63, 278–294. https://doi.org/10.1016/j.jmsy.2022.03.007
- African Development Bank. (2023). African economic outlook 2023. https://www.afdb.org
- Aghimien, D. O., Aigbavboa, C., Oke, A., & Edwards, D. (2023). Digital Transformation and Innovation Adoption in Construction Organisations: Implications for Performance and Resilience. Journal of Engineering, Design and Technology, 21(4), 1052–1070. https://doi.org/10.1108/JEDT-01-2022-0017
- Aguome, N. M., Alaneme, G. U., Olaiya, B. C., & Lawan, M. M. (2024). Evaluation of lean construction practices for improving construction project delivery: Case study of Bushenyi District, Uganda. Cogent Engineering, 11(1), 2365902. https://doi.org/10.1080/23311916.2024.2365902
- Al-Matari, E. M., Al-Swidi, A., & Fadzil, F. H. (2023). Asset Utilization and Firm Financial Performance: Evidence from Emerging Markets. Journal of Accounting in Emerging Economies, 13(2), 310–329. https://doi.org/10.1108/JAEE-09-2021-0284
- Amoah, C., & Pretorius, J. H. C. (2023). Cost Management Practices and Profitability in Construction Projects. Journal of Engineering, Design and Technology, 21(6), 1643–1660. https://doi.org/10.1108/JEDT-05-2022-0201
- Appelbaum, D., Kogan, A., Vasarhelyi, M., & Yan, Z. (2017). The Impact of Business Analytics and Enterprise Systems on Managerial Accounting. International Journal of Accounting Information Systems, 25, 29–44. https://doi.org/10.1016/j.accinf.2017.03.003
- Aubry, M., & Lavoie-Tremblay, M. (2022). Asset Information Management and Organisational Performance in Project-Based Industries. International Journal of Project Management, 40(4), 345–357. https://doi.org/10.1016/j.ijproman.2021.11.005
- Bolhassan, D. N., Changsaar, C., Khoso, A. R., Siawchuing, L., Bamgbade, J. A., & Hing, W. N. (2022). Towards the Adoption of Smart Contracts in the Construction Industry in Malaysia. Pertanika Journal of Science and Technology, 30(1), 141–160. https://doi.org/10.47836/pjst.30.1.08
- Construct Uganda Expo. (2026). Market Overview: Uganda Construction Industry Statistics. https://www.constructuganda.com/MarketOverview
- De Vet, H. C. W., Mokkink, L. B., Mosmuller, D. G., & Terwee, C. B. (2017). Spearman–Brown prophecy formula and Cronbach’s alpha: Different faces of reliability and opportunities for strengthening instrument validity. Journal of Clinical Epidemiology, 85, 45–49. https://doi.org/10.1016/j.jclinepi.2017.01.013
- Deloitte. (2024). Global powers of construction 2024. https://www2.deloitte.com
- Dillman, D. A., Smyth, J. D., & Christian, L. M. (2014). Internet, phone, mail, and mixed-mode surveys: The tailored design method (4th ed.). Wiley.
- Dzulkifli, N. N., Mohd-Nawawi, A. H., & Ahmad, F. (2021). Building Maintenance Management Practices: A Systematic Review. Built Environment Project and Asset Management, 11(5), 731–748. https://doi.org/10.1108/BEPAM-09-2020-0153
- Eisenhardt, K. M., & Martin, J. A. (2000). Dynamic capabilities: What are they? Strategic Management Journal, 21(10–11), 1105–1121. https://doi.org/10.1002/1097-0266(200010/11)21:10/11<1105::AID-SMJ133>3.0.CO;2-E
- Etikan, I., & Bala, K. (2017). Sampling and sampling methods. Biometrics & Biostatistics International Journal, 5(6), 00149. https://doi.org/10.15406/bbij.2017.05.00149
- Field, A. (2018). Discovering statistics using IBM SPSS Statistics (5th ed.). Sage Publications.
- Gavrikova, E., Volkova, I., & Latyshev, K. (2022). Asset Management Systems and Operational Efficiency in Energy Enterprises. Energy Reports, 8, 11234–11245. https://doi.org/10.1016/j.egyr.2022.08.155
- Grosu, V., Socoliuc, M., & Hlaciuc, E. (2023). Business Intelligence and Forecasting Techniques in Management Accounting Practices. Journal of Risk and Financial Management, 16(4), 215. https://doi.org/10.3390/jrfm16040215
- Hakizimana, V., Muhwezi, L., & Acai, J. (2024). Evaluation of Factors Influencing the Performance of Building Construction Projects in Uganda: A Case Study of Masaka City. East African Journal of Engineering.
- Hameed, M., Alaloul, W. S., Musarat, M. A., & Liew, M. S. (2024). Key Performance Indicators for Sustainable Building Maintenance Management. Sustainability, 16(2), 845. https://doi.org/10.3390/su16020845
- Hasanuddin, N., & Abd Rahim, A. (2024). Technology Adoption in Building Facilities Management and Maintenance Efficiency Journal of Facilities Management, 22(1), 45–62. https://doi.org/10.1108/JFM-08-2023-0072
- Hashim, N., Mohd-Nawawi, A. H., & Ahmad, F. (2021). Asset Management Reporting Practices and Financial Planning in Construction Organisations. Built Environment Project and Asset Management, 11(4), 587–603. https://doi.org/10.1108/BEPAM-05-2020-0081
- Hastings, N. A. J. (2021). Physical asset management (2nd ed.). Springer. https://doi.org/10.1007/978-3-030-62895-0
- Helfat, C. E., & Peteraf, M. A. (2015). Managerial Cognitive Capabilities and the Microfoundations of Dynamic Capabilities. Strategic Management Journal, 36(6), 831–850. https://doi.org/10.1002/smj.2247
- International Labour Organization. (2023). Employment by sector (construction). https://ilostat.ilo.org
- Karuga, J., Mwangi, P., & Kamau, R. (2024). Financial Resource Scheduling and Road Construction Project Performance in Nairobi Metropolitan. International Journal of Construction Management, 24(3), 421–435. https://doi.org/10.1080/15623599.2023.2187541
- Kliestik, T., Kovacova, M., & Nica, E. (2024). Financial Forecasting and Sustainability Performance: A Predictive Analytics Perspective. Technological Forecasting and Social Change, 199, 123086. https://doi.org/10.1016/j.techfore.2023.123086
- Köhler, C., Smith, A., & Bianchi, M. (2022). Resource Reconfiguration and Operational Performance in Project-Based Industries. International Journal of Project Management, 40(5), 512–526. https://doi.org/10.1016/j.ijproman.2021.12.004
- Komonen, K., Torkkeli, M., & Haapasalo, H. (2022). Digital Asset Registers and Lifecycle Performance Management. Journal of Quality in Maintenance Engineering, 28(3), 455–472. https://doi.org/10.1108/JQME-07-2021-0050
- Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607–610. https://doi.org/10.1177/001316447003000308
- Lavia López, O., & Hiebl, M. R. W. (2021). Management Accounting in Small and Medium-Sized Enterprises: Current Knowledge and Avenues for Further Research. Journal of Management Accounting Research, 33(3), 123–146. https://doi.org/10.2308/JMAR-19-020
- Lopes, J., & Banaitien?, N. (2024). A Model for Construction Sector Development in Middle-Income Sub-Saharan African Countries. Technological and Economic Development of Economy, 30(5), 1229–1255. https://doi.org/10.3846/tede.2024.21453
- Maphosa, Y. S. (2025). Improving asset information management and the quality of construction projects in South Africa using building information modelling (Master’s thesis, Stellenbosch University).
- Mele, C., Russo-Spena, T., & Kaartemo, V. (2024). Dynamic Capabilities and Value Creation in Turbulent Environments: A Systematic Review. Journal of Business Research, 172, 114–126. https://doi.org/10.1016/j.jbusres.2023.114126
- Mohammadi, M., Fathi, M., & Tavakolan, M. (2022). Lean-based maintenance scheduling for infrastructure projects: Evidence from road maintenance operations. Journal of Construction Engineering and Management, 148(9), 04022089. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002334
- Mugenda, O. M., & Mugenda, A. G. (2003). Research Methods: Quantitative and Qualitative Approaches. ACTS Press.
- Next Move Strategy Consulting. (2025). Africa construction market forecast. https://www.nextmsc.com
- Obicci, P. A. (2024). Asset Management Practices and Organisational Performance in Uganda.
- Obicci, P. A., et al. (2025). Asset Management and Financial Sustainability in Construction Firms in Uganda.
- Ofori, G., & Toor, S. U. R. (2023). Financial Reporting Quality and Asset Information Systems in Construction Firms. Construction Management and Economics, 41(6), 501–518. https://doi.org/10.1080/01446193.2022.2157841
- Ogunbiyi-Badaru, O., et al. (2024). Digital Technologies and Asset Management in African Construction Industries.
- Okan, T., & Aksoy, A. (2022). Proactive Maintenance Scheduling and Organizational Profitability: Evidence from Aviation Maintenance Operations. Journal of Air Transport Management, 102, 102210. https://doi.org/10.1016/j.jairtraman.2022.102210
- Olawale, Y., & Sun, M. (2022). Construction project control and cost overrun management: Empirical evidence from project-based organisations. International Journal of Project Management, 40(6), 575–589. https://doi.org/10.1016/j.ijproman.2022.05.003
- Ostadi, B., Jafarian, M., & Saeedi, H. (2024). Dynamic Capabilities and Industry 4.0 Adoption for Organizational Performance Improvement. Technological Forecasting and Social Change, 199, 123011. https://doi.org/10.1016/j.techfore.2023.123011
- Pavlatos, O., & Kostakis, H. (2022). Budgeting Practices and Financial Performance in Organizations: Evidence from Emerging Markets. European Accounting Review, 31(4), 699–723. https://doi.org/10.1080/09638180.2021.1900965
- PwC. (2023). Digital transformation in construction and infrastructure. https://www.pwc.com
- Rediske, G., Siluk, J. C. M., Gastaldo, N. G., & Casarotto Filho, N. (2022). Maintenance Indicators and Performance Assessment in Photovoltaic Power Plants. Renewable Energy, 186, 646–657. https://doi.org/10.1016/j.renene.2021.12.071
- Sarah, D., & Probohudono, A. N. (2024). Asset management frameworks and organisational competitiveness.
- Setia, M. S. (2016). Methodology Series, Module 3: Cross-Sectional Studies. Indian Journal of Dermatology, 61(3), 261–264. https://doi.org/10.4103/0019-5154.182410
- Soni, M. S. M., & Smallwood, J. (2024). Understanding Corruption in the South African Construction Industry Journal of Construction Business and Management, 7(1), 45–56. https://doi.org/10.15641/jcbm.7.1.1522
- Taherdoost, H. (2017). Sampling methods in research methodology: How to choose a sampling technique for research. International Journal of Academic Research in Management, 5(2), 18–27.
- Teece, D. J. (2018). Business models and dynamic capabilities. Long Range Planning, 51(1), 40–49. https://doi.org/10.1016/j.lrp.2017.06.007
- Teece, D. J. (2023). The Foundations of Dynamic Capabilities and Strategic Management. Strategic Management Review, 4(1), 1–27. https://doi.org/10.1016/j.smr.2023.100001
- Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509–533. https://doi.org/10.1002/(SICI)1097-0266(199708)18:7<509::AID-SMJ882>3.0.CO;2-Z
- Trading Economics. (2026). Uganda's GDP from construction. https://tradingeconomics.com/uganda/gdp-from-construction
- Tukundane, H., & Yang, Y. (2024). The Effect of Project Control Practices on the Performance of Building Construction Companies in Uganda. Buildings, 14(6), 1818. https://doi.org/10.3390/buildings14061818
- Wang, X., & Cheng, Z. (2020). Cross-Sectional Studies: Strengths, Weaknesses, and Recommendations. Chest, 158(1), S65–S71. https://doi.org/10.1016/j.chest.2020.03.012
- Wijayarathne, K., Perera, S., & Fernando, N. (2024). Digital Transformation and Dynamic Capabilities in Construction Firms: Evidence from Emerging Economies. Engineering, Construction and Architectural Management, 31(2), 456–475. https://doi.org/10.1108/ECAM-09-2022-0810
- World Bank. (2023). World development indicators. https://data.worldbank.org
- Zhao, Y., Liu, Z., & Mbachu, J. (2022). Digital twin-driven operation and maintenance management in the built environment: A conceptual framework. Automation in Construction, 137, 104227. https://doi.org/10.1016/j.autcon.2022.104227
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Keywords
- Asset Management Search this journal for Asset Management (opens in a new tab)
- Financial Performance Search this journal for Financial Performance (opens in a new tab)
- Asset Register Accessibility Search this journal for Asset Register Accessibility (opens in a new tab)
- Maintenance Scheduling Search this journal for Maintenance Scheduling (opens in a new tab)
- Budget Tracking Search this journal for Budget Tracking (opens in a new tab)
- Construction Companies Search this journal for Construction Companies (opens in a new tab)
- Greater Kampala Metropolitan Area Search this journal for Greater Kampala Metropolitan Area (opens in a new tab)
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