Enhancing Success in Small Hydropower Projects: Analysis of Key Performance Indicators and Strategies for Improvement in Nepal
Keywords:
Small hydropower projects, KPIs, Client, Consultant, Contractor, ImprovementAbstract
Construction KPIs indicate project success. KPI measurements help implementers gather feedback for new projects. This study examines KPIs for small hydropower projects in Nepal, their ranking, the most important influencing element for each KPI, and how to improve KPI control in small hydropower projects in Nepal. Developers, consultants, and contractors were the respondents and project stakeholders. The data was summarised, analysed using SPSS and Excel data, and presented in the form of tables and figures. The stakeholders in small hydropower projects ranked the cost aspect first, and environmental management is the least significant KPI in small hydropower projects in Nepal. The hypothesis test showed that there are significant differences between the rankings given by the client, consultant, and contractor. The study presented the relative relevance index (RII) for each KPI component affecting Nepalese small hydropower projects.
Rework cost is the most important factor in KPI cost, while project cash flow is the least crucial. “Delay in contractor approval of updated programme” primarily affects KPI-Time, and the least important is site mobilisation and preparation delay. “Quality-related training and meetings” affected KPI-Quality the most, and specification conformity affected it the least. The ‘Number of new projects per year” component has the highest RII, and the least one is “mobilisation of necessary resources at site” in KPI productivity. For KPI-client satisfaction, “number of reworks and speed and reliability of service to owner” is most important, and information synchronisation between owner and project partners has the least impact.
References
Wang HJ, Zhang JP, Chau KW, Anson M. 4D dynamic management for construction planning and resource utilization. Automation in construction. 2004 Sep 1;13(5):575-89.
Beirut. (2013). Organizational Performance Management and Measurement. The Lebanese Experience.
Takim R, Akintoye A. Performance indicators for successful construction project performance. In18th Annual ARCOM Conference 2002 Sep 2 (Vol. 2, No. 4).
Navon R. Automated project performance control of construction projects. Automation in construction. 2005 Aug 1;14(4):467-76.
Sah MK, Shahi PB, Pandit R, Pandey A. Factors affecting the failure of a construction project in Nepal. International Jouranl of Current research. 2017 Jan 31; 9(1): 44655-44658.
Salem H. Organizational performance management and measurement. New York: United Nations Economic and Social Council. Retrieved from E/ESCWA/SDPD/2003/ WG. 2003 Jun;5:16.
Takim R, Akintoye A, Kelly J. Performance measurement systems in construction. In19th annual ARCOM conference 2003 Sep (Vol. 1, pp. 423-432). University of Brighton, Association of Researchers in Construction Management.
Mishra AK, Bhandari S, Jha T. Factors affecting performance and time extension of ongoing construction projects under town development fund, Nepal. J Adv Res Const Urban Arch. 2018;3(4):7-25.
Rijal S, Bhattarai ES. Analysis of Key Performance Indicators in Health Building Construction in Nepal. Journal of Advanced Research in Civil and Environmental Engineering. 2021;8(3&4-2021):18-30.
Shrestha, S. Study of Key Performance Indicators in Construction of Public-School Building in Ramechaap District of Nepal. Lumbini International Academy of Science & Technology (LIAST), Lumbini Buddhist University. 2022
Akadiri PO. Development of a Multi-Criteria Approach for the Selection of Sustainable Materials for Building. University of Wolverhampton. 2011
Samir S, Shaban A. Factors Affecting the Performance of Construction Projects in the Gaza Strip. Palestine: Islamic University of Gaza. 2008.