The Effect Of Risk Management, Schedule Performance, And Cost Efficiency On The Feasibility Of Infrastructure Project Investment
DOI:
https://doi.org/10.59188/eduvest.v5i9.52143Keywords:
Risk management, schedule performance, cost efficiency, investment feasibility, infrastructure projectsAbstract
Infrastructure project investments tend to face challenges related to risk, schedule delays, and cost efficiency, which can affect the project's financial feasibility. This issue is crucial because appropriate investment decisions are crucial to project success and returns for stakeholders. This study aims to analyze the influence of risk management, schedule performance, and cost efficiency on the investment feasibility of infrastructure projects. The research method used is quantitative, with a population of individuals with direct experience in infrastructure project management. The sample was selected using purposive sampling with the criteria of a minimum of one to three years of experience on related projects. Data were collected through questionnaires, tested for validity and reliability, then analyzed using multiple regression and the R² value to measure the contribution of independent variables to investment feasibility. The results show that risk management, schedule performance, and cost efficiency simultaneously have a significant effect on the investment feasibility of infrastructure projects. The R² value indicates that the independent variables together are able to explain most of the variation in investment feasibility. These findings emphasize the importance of good risk management, proper schedule monitoring, and cost efficiency to improve investment feasibility. The implications of this study can be used as a reference for project management and stakeholders in making more effective infrastructure investment decisions and reducing the risk of financial loss.
References
Alkaabi, K. A., & Debbage, K. G. (2011). The geography of air freight: Connections to U.S. metropolitan economies. Journal of Transport Geography, 19(6), 1517–1529. https://doi.org/10.1016/j.jtrangeo.2011.07.004
Allison, E. H., Cheung, W. W. L., Dey, M. M., Halpern, B. S., McCauley, D. J., Smith, M., Vaitla, B., Zeller, D., Myers, S. S., Nilsson, M., Griggs, D., & Visbeck, M. (2013). The state of world fisheries and aquaculture (SOFIA) 2010. Proceedings of the National Academy of Sciences, 110(16), 5125–5129. https://doi.org/10.1073/pnas.1301224110
Ambrosio-Albala, P., Upham, P. J., & Gale, W. F. (2023). Normative expectations of government as a policy actor: The case of UK steel industry decarbonisation. International Journal of Sustainable Energy, 42(1), 594–611. https://doi.org/10.1080/14786451.2023.2217948
Basner, M., Clark, C., Hansell, A., Hileman, J., Janssen, S., Shepherd, K., & Sparrow, V. (2017). Aviation noise impacts: State of the science. Noise and Health, 19(87), 41–50. https://doi.org/10.4103/nah.NAH-104-16
Budd, L., & Ison, S. (2020). The airport–airline relationship. In Managing airports (pp. xx–xx). Routledge. https://doi.org/10.4324/9781315269047-4
Budd, L., Griggs, S., & Howarth, D. (2013). Sustainable aviation futures: Crises, contested realities and prospects for change. In Critical Perspectives on International Public Sector Management (Vol. 3, pp. 3–35). Emerald Group. https://doi.org/10.1108/s2044-9941(2013)0000004013
Carlucci, F., Cirà, A., & Coccorese, P. (2018). Measuring and explaining airport efficiency and sustainability: Evidence from Italy. Sustainability, 10(2), 400. https://doi.org/10.3390/su10020400
Chati, Y. S., & Balakrishnan, H. (2018). Data-driven modeling of aircraft engine fuel burn in climb out and approach. Transportation Research Record, 2672(29), 1–11. https://doi.org/10.1177/0361198118780876
Dhir, A., Talwar, S., Kaur, P., & Malibari, A. (2020). Food waste in hospitality and food services: A systematic literature review and framework development approach. Journal of Cleaner Production, 270, 122861. https://doi.org/10.1016/j.jclepro.2020.122861
Dong, F., & Liu, Y. (2020). Policy evolution and effect evaluation of new-energy vehicle industry in China. Resources Policy, 67, 101655. https://doi.org/10.1016/j.resourpol.2020.101655
Dong, F., Pan, Y., Li, Y., & Zhang, S. (2021). How public and government matter in industrial pollution mitigation performance: Evidence from China. Journal of Cleaner Production, 306, 127099. https://doi.org/10.1016/j.jclepro.2021.127099
Fratini, C. F., Georg, S., & Jørgensen, M. S. (2019). Exploring circular economy imaginaries in European cities: A research agenda for the governance of urban sustainability transitions. Journal of Cleaner Production, 228, 974–989. https://doi.org/10.1016/j.jclepro.2019.04.193
Halisçelik, E., & Soytas, M. A. (2019). Sustainable development from millennium 2015 to sustainable development goals 2030. Sustainable Development, 27(4), 545–572. https://doi.org/10.1002/sd.1921
Haque, F., & Ntim, C. G. (2018). Environmental policy, sustainable development, governance mechanisms and environmental performance. Business Strategy and the Environment, 27(3), 415–435. https://doi.org/10.1002/bse.2007
Huderek-Glapska, S., & Nowak, H. (2016). Airport and low-cost carrier business relationship management as a key factor for airport continuity: The evidence from Poland. Research in Transportation Business and Management, 21, 44–53. https://doi.org/10.1016/j.rtbm.2016.07.004
Ilyas, S., Hu, Z., & Wiwattanakornwong, K. (2020). Unleashing the role of top management and government support in green supply chain management and sustainable development goals. Environmental Science and Pollution Research, 27(8), 8210–8223. https://doi.org/10.1007/s11356-019-07268-3
Janić, M. (2019). Modeling the resilience of an airline cargo transport network affected by a large-scale disruptive event. Transportation Research Part D: Transport and Environment, 77, 425–448. https://doi.org/10.1016/j.trd.2019.02.011
Khan, I. S., Ahmad, M. O., & Majava, J. (2021). Industry 4.0 and sustainable development: A systematic mapping of triple bottom line, circular economy and sustainable business models perspectives. Journal of Cleaner Production, 297, 126655. https://doi.org/10.1016/j.jclepro.2021.126655
Kılıç, M., Uyar, A., & Karaman, A. S. (2019). What impacts sustainability reporting in the global aviation industry? An institutional perspective. Transport Policy, 79, 54–65. https://doi.org/10.1016/j.tranpol.2019.04.017
Kraus, S., Breier, M., Lim, W. M., Dabić, M., Kumar, S., Kanbach, D., Mukherjee, D., Corvello, V., Piñeiro-Chousa, J., Liguori, E., Palacios-Marqués, D., Schiavone, F., Ferraris, A., Fernandes, C., & Ferreira, J. J. (2022). Literature reviews as independent studies: Guidelines for academic practice. Review of Managerial Science, 16(8), 2577–2595. https://doi.org/10.1007/s11846-022-00588-8
Kucukvar, M., Onat, N. C., Abdella, G. M., & Tatari, O. (2019). Assessing regional and global environmental footprints and value added of the largest food producers in the world. Resources, Conservation and Recycling, 144, 187–197. https://doi.org/10.1016/j.resconrec.2019.01.048
Kutty, A. A., Abdella, G. M., Kucukvar, M., Onat, N. C., & Bulu, M. (2020). A system thinking approach for harmonizing smart and sustainable city initiatives with United Nations sustainable development goals. Sustainable Development, 28(5), 1347–1365. https://doi.org/10.1002/sd.2088
Lee, D. S., Fahey, D. W., Skowron, A., Allen, M. R., Burkhardt, U., Chen, Q., & Doherty, S. J. (2021). The contribution of global aviation to anthropogenic climate forcing for 2000 to 2018. Atmospheric Environment, 244, 117834. https://doi.org/10.1016/j.atmosenv.2020.117834
Li, B., Ma, Z., Hidalgo-Gonzalez, P., Lathem, A., Fedorova, N., He, G., Zhong, H., Chen, M., & Kammen, D. M. (2021). Modeling the impact of EVs in the Chinese power system: Pathways for implementing emissions reduction commitments in the power and transportation sectors. Energy Policy, 149, 111962. https://doi.org/10.1016/j.enpol.2020.111962
Lim, C., Kim, K. J., & Maglio, P. P. (2018). Smart cities with big data: Reference models, challenges, and considerations. Cities, 82, 86–99. https://doi.org/10.1016/j.cities.2018.04.011
Roscoe, S., Subramanian, N., Jabbour, C. J. C., & Chong, T. (2019). Green human resource management and the enablers of green organisational culture: Enhancing a firm’s environmental performance for sustainable development. Business Strategy and the Environment, 28(5), 737–749. https://doi.org/10.1002/bse.2277
Saberi, S., Kouhizadeh, M., Sarkis, J., & Shen, L. (2019). Blockchain technology and its relationships to sustainable supply chain management. International Journal of Production Research, 57(7), 2117–2135. https://doi.org/10.1080/00207543.2018.1533261
Singh, S. K., Chen, J., Del Giudice, M., & El-Kassar, A. N. (2019). Environmental ethics, environmental performance, and competitive advantage: Role of environmental training. Technological Forecasting and Social Change, 146, 203–211. https://doi.org/10.1016/j.techfore.2019.05.032
Sola Zheng, X., Rutherford, D., Miller, S., Johnson, T., Murphy, A., Schallert, B., Holler, J., Hollander, H., & Gardner, G. (2021). Variation in aviation emissions by itinerary: The case for emissions disclosure. International Council on Clean Transportation (ICCT) Working Paper, July. https://theicct.org
Talwar, S., Kaur, P., Fosso Wamba, S., & Dhir, A. (2021). Big data in operations and supply chain management: A systematic literature review and future research agenda. International Journal of Production Research, 59(11), 3509–3534. https://doi.org/10.1080/00207543.2020.1868599
Upham, P. J., & Mills, J. N. (2005). Environmental and operational sustainability of airports: Core indicators and stakeholder communication. Benchmarking: An International Journal, 12(2), 166–179. https://doi.org/10.1108/14635770510593103
Wu, C., Chan, N. N. T., & Redonnet, S. (2024). Environmental impact by air traffic: Assessing aircraft noise nearby Hong Kong International Airport. Applied Acoustics, 220, 109952. https://doi.org/10.1016/j.apacoust.2024.109952
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