ENTERPRISE RESOURCE PLANNING SYSTEM AND PERFORMANCE OFBUILDING PROJECTS IN KENYA
Keywords:
Enterprise Resource Planning System, Data Management, Risk Identification, Performance of Building ProjectsAbstract
The adoption of Enterprise Resource Planning (ERP) systems has become increasingly prevalent across diverse industries in Kenya, including the construction sector. Consequently, understanding the implications of ERP implementation on project performance has become essential. This study delves into this relationship, specifically focusing on building projects within Kenya's construction industry. With ERP systems being comprehensive platforms integrating various business processes, their influence on project planning, data management, risk identification, and change management is of particular interest. By honing in on these critical aspects, the research aims to shed light on how ERP systems affect the overall performance of building projects.To achieve its objectives, the study employs a descriptive survey design, collecting data from management and staff involved in building projects registered by the National Construction Authority in Kenya. Through this approach, the research endeavors to capture insights directly from those immersed in project execution and management. By analyzing the data collected, the study sought to ascertain the extent to which ERP systems impact data management efficiency and risk identification processes within the context of building projects. This comprehensive examination provided valuable insights into the nuanced ways ERP systems influence project dynamics in the construction industry. The study examined data management efficiency and risk identification in building projects in Kenya, based on data from project managers response rate. The study concluded that data management positively and significantly influence performance of building projects in Kenya. In addition, the study concluded that risk identificatio positively and significantly influence performance of building projects in Kenya. Based on the findings, the study recommnends that project managers should therefore ensure that when selecting team members, they have the skill set required for completing the task required. Also, when assigning tasks, it should be done based on the skills of the team members. In addition, the study recommends project managers to have collaborations and communications that are solid to make sure that all individuals involved in a project, work towards achievement of set goals and therefore ensure project success, within set timelines.
Key Words: Enterprise Resource Planning System, Data Management, Risk Identification, Performance of Building Projects
References
Alson, A., & Bowles, N. L. (2019). Validity and reliability in educational research. In M. B. Paulsen (Ed.), Handbook of research methods in higher education (pp. 229-247). Routledge.
Bell, J., Bryman, A., & Harley, B. (2018). Business research methods. Oxford University Press.
Burnes, B. (1996). Kurt Lewin and the planned approach to change: A re-appraisal. Journal of Management Studies, 33(1), 1-23.
Creswell, J. W. (2017). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications.
Dawson, C. (2019). Introduction to research methods: A practical guide for anyone undertaking a research project. Oxford University Press.
Ethridge, D. E. (2018). Research methodology in applied economics: Organizing, planning, and conducting economic research. Routledge.
Galbraith, J. R. (1973). Designing complex organizations. Addison-Wesley.
Hunton, J. E., Gold, A., & Malina, M. A. (2022). Enterprise resource planning systems: A re-investigation of antecedents and outcomes. Journal of Information Systems, 36(1), 33-57.
Johann, F. (2005). Temporality in organizations: A review and a framework for future research. In M. Schultz, A. Hatch, & M. Larsen (Eds.), The expressive organization (pp. 53-80). Oxford University Press.
Kothari, C. R. (2018). Research methodology: Methods and techniques. New Age International.
Leedy, P. D., & Ormrod, J. E. (2004). Practical research: Planning and design. Prentice Hall.
Lewin, K. (1947). Frontiers in group dynamics: Concept, method and reality in social science; social equilibria and social change. Human Relations, 1(1), 5-41.
Lune, H., & Berg, B. L. (2016). Qualitative research methods for the social sciences. Pearson.
Mohajan, H. K. (2018). Two criteria for good measurements in research: Validity and reliability. Annals of Spiru Haret University, Economic Series, 18(3), 59-82.
Mugenda, O. M., & Mugenda, A. G. (2016). Research methods: Quantitative and qualitative approaches. African Centre for Technology Studies.
Nwana, H. S. (2017). Facilitating the learning process through improved test validity. Journal of Education and Training Studies, 5(9), 45-55.
Pallant, J. (2011). SPSS survival manual: A step by step guide to data analysis using IBM SPSS. McGraw-Hill Education.
Rolf, T., & Anders, J. (2004). Temporal structures in individual and organizational learning. Organization Studies, 25(9), 1559-1582.
Ross, J. W. (2018). Foundations of information systems. Springer.
Tadjer, A. (2020). Enterprise resource planning systems and business intelligence: A marriage of necessity. Springer.
Torach, M. (2017). Information technology for management: Digital strategies for insight, action, and sustainable performance. Wiley.
Umble, E. J., & Umble, M. M. (2022). Challenges of implementing ERP systems in small and medium-sized enterprises: A descriptive survey. Journal of Enterprise Information Management.
Tracy, S. J. (2019). Qualitative research methods: Collecting evidence, crafting analysis, communicating impact. John Wiley & Sons.
Robson, C. (2011). Real world research. John Wiley & Sons.
