The Potential of Cloud-based Virtual Technologies to Enhance Project Management: A Delphi Study of the West Coast Governments
DOI:
https://doi.org/10.53819/81018102t2408Abstract
Government institutions pay particular attention to project performance using advanced technologies. Cloud-based virtual technologies play vital roles in project environments with numerous scholars examining the imperatives of project performance. However, a particular focus on information technology experts’ consensus on the potential of cloud-based virtual technologies to enhance project management in government agencies is still lacking. This study explored the consensus of information technology experts on the potential of cloud-based technologies to enhance project management in West Coast governments. The study adopted a Delphi method design, which involved collecting and analyzing data from a panel of information technology experts on the West Coast holding managerial positions. Twenty experts were sourced from the LinkedIn platform and an informed consent form was sent to them to sign electronically and return to the researcher via the provided email address. The phone numbers sent together with the consent form were used to schedule the virtual interviews. The interviews were conducted in three cycles/rounds and the findings were analyzed using the thematic analysis technique and Kendall coefficient of concordant. The findings established a consensus of information technology experts on the potential of cloud-based virtual technologies to enhance project management in West Coast governments. Based on the study findings, it was recommended that the West Coast government agencies adopt cloud-based virtual technologies to enhance project management because it helps to minimize costs and increase adaptable scalability.
Keywords: Project Management, Information Technology, Cloud-Based Virtual Technologies, West Coast, Government Agencies.
References
Abd, T., Mezaal, Y. S., Shareef, M. S., Khaleel, S. K., Madhi, H. H., & Abdulkareem, S. F. (2019). Iraqi e-government and cloud computing development based on unified citizen identification. Periodicals of Engineering and Natural Sciences (PEN), 7(4), 1776-1793. http://dx.doi.org/10.21533/pen.v7i4.840
Ahmad, T., & Waheed, M. (2015). Cloud computing adoption issues and applications in developing countries: A Qualitative approach. Int. Arab. J. e Technol., 4(2), 84-93. https://www.researchgate.net/profile/Mehwish-Waheed/publication/283908626
Alashhab, Z. R., Anbar, M., Singh, M. M., Leau, Y. B., Al-Sai, Z. A., & Alhayja’a, S. A. (2021). Impact of coronavirus pandemic crisis on technologies and cloud computing applications. Journal of Electronic Science and Technology, 19(1), 100059. https://doi.org/10.1016/j.jnlest.2020.100059
Alassafi, M. O., Alharthi, A., Walters, R. J., & Wills, G. B. (2016). Security risk factors that influence cloud computing adoption in Saudi Arabia government agencies. In 2016 International Conference on Information Society (i-Society) (pp. 28-31). IEEE. 10.1109/i-Society.2016.7854165
Bello, S. A., Oyedele, L. O., Akinade, O. O., Bilal, M., Delgado, J. M. D., Akanbi, L. A., ... & Owolabi, H. A. (2021). Cloud computing in construction industry: Use cases, benefits and challenges. Automation in Construction, 122, 103441. https://doi.org/10.1016/j.autcon.2020.103441
Bur, J. (2018). These tech problems could hurt the government for years. Federal Times. https://www.federaltimes.com/it-networks/2018/05/24/why-the-government-is-playingtechnology-catch-up/
Busetto, L., Wick, W., & Gumbinger, C. (2020). How to use and assess qualitative research methods. Neurological Research and practice, 2(1), 1-10. https://doi.org/10.1186/s42466-020-00059-z
Choo, K. K. R. (2010). Cloud computing: Challenges and future directions. Trends and Issues in Crime and Criminal justice, (400), 1-6. https://search.informit.org/doi/abs/10.3316/ielapa.846168732516727
Clark, K. R., & Vealé, B. L. (2018). Strategies to enhance data collection and analysis in qualitative research. Radiologic technology, 89(5), 482CT-485CT. http://www.radiologictechnology.org/content/89/5/482CT.extract
Colander, D. C. (2014). Some government skin in the game: How to encourage new technology. Eastern Economic Journal, 40(2), 143-145. https://doi.org/10.1057/eej.2014.10
Correia, S. R. V., & Martens, C. D. P. (2023). Cloud computing projects: critical success factors. RAUSP Management Journal, 58, 5-21. https://doi.org/10.1108/RAUSP-06-2021-0107
Creswell, J.W. (2013). Educational research: Planning, conducting, and evaluating qualitative and quantitative research. Pearson Higher Education.
Daly, J. (2021). Why modernizing government technology was a necessity even before COVID-19. https://www.ibm.com/blog/federal-government-it-modernization-post-covid/
Gill, S. H., Razzaq, M. A., Ahmad, M., Almansour, F. M., Ul Haq, I., Jhanjhi, N. Z., ... & Masud, M. (2022). Security and privacy aspects of cloud computing: a smart campus case study. Intelligent Automation and Soft Computing, 31(1), 117-128. https://doi.org/10.32604/iasc.2022.016597.
Hennink, M. M., Kaiser, B. N., & Weber, M. B. (2019). What influences saturation? Estimating sample sizes in focus group research. Qualitative health research, 29(10), 1483-1496. https://doi.org/10.1177/1049732318821692
Joshi, P. R., Islam, S., & Islam, S. (2017). A framework for cloud-based e-government from the perspective of developing countries. Future Internet, 9(4), 80-97. https://doi.org/10.3390/fi9040080
Khan, S., Al-Dmour, A., Bali, V., Rabbani, M. R., & Thirunavukkarasu, K. (2021). Cloud computing based futuristic educational model for virtual learning. Journal of Statistics and Management Systems, 24(2), 357-385. https://doi.org/10.1080/09720510.2021.1879468
Liang, J. (2012). Government cloud: Enhancing efficiency of e-government and providing better public services. In 2012 International Joint Conference on Service Sciences (pp. 261-265). IEEE. 10.1109/IJCSS.2012.20
Liang, Y., Wang, W., Dong, K., Zhang, G., & Qi, G. (2021). Adoption of mobile government cloud from the perspective of public sector. Mobile Information Systems, 2021, 1-20. https://www.hindawi.com/journals/misy/2021/8884594/
Mabry, P. L., Yan, X., Pentchev, V., Van Rennes, R., McGavin, S. H., & Wittenberg, J. V. (2020). CADRE: a collaborative, cloud-based solution for big bibliographic data research in academic libraries. Frontiers in big Data, 3, 556282. https://doi.org/10.3389/fdata.2020.556282
Meng, S., & Zhang, X. (2022). The Use of internet of things and cloud computing technology in the performance appraisal management of innovation capability of university scientific research team. Computational Intelligence and Neuroscience, 2022. https://doi.org/10.1155/2022/9423718
Nanos, I., Manthou, V., & Androutsou, E. (2019). Cloud computing adoption decision in E-government. In Operational Research in the Digital Era–ICT Challenges (pp. 125-145). Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-319-95666-4_9.
Norris, D. F., & Moon, M. J. (2005). Advancing e‐government at the grassroots: Tortoise or hare? Public administration review, 65(1), 64-75. https://doi.org/10.1111/j.1540-6210.2005.00431.x
Priyadarshinee, P., Jha, M. K., Raut, R. D., & Kharat, M. G. (2018). To measure the business performance through cloud computing adoption in Indian scenario: structural equation modelling. International Journal of Business Information Systems, 28(4), 468-503. https://doi.org/10.1504/IJBIS.2018.093658
Ross, P. T., & Zaidi, N. L. B. (2019). Limited by our limitations. Perspectives on medical education, 8(4), 261-264. https://doi.org/10.1007/s40037-019-00530-x
Schank, H. (2021). The government has a rare chance to modernize its outdated tech systems. they can’t afford to waste it. https://www.newamerica.org/the-thread/the-government-has-a-rare-chance-to-modernize-its-outdated-tech-systems-they-cant-afford-to-waste-it/
Sekaran, K., Khan, M. S., Patan, R., Gandomi, A. H., Krishna, P. V., & Kallam, S. (2019). Improving the response time of m-learning and cloud computing environments using a dominant firefly approach. IEEE Access, 7, 30203-30212. https://ieeexplore.ieee.org/abstract/document/8640814
Shafiq, N. M., & Shakor, M. Y. (2021). Cloud computing technologies adoption in higher education institutes during COVID-19 pandemic: Case study. Passer Journal of Basic and Applied Sciences, 3(2), 187-193. http://passer.garmian.edu.krd/
Shah, M. U., & Guild, P. D. (2022). Stakeholder engagement strategy of technology firms: A review and applied view of stakeholder theory. Technovation, 114, 102460. https://doi.org/10.1016/j.technovation.2022.102460
U.S. Government Accountability Office (2023). Outdated and old IT systems slow government and put taxpayers at risk. https://www.gao.gov/blog/outdated-and-old-it-systems-slow-government-and-put-taxpayers-risk
Utami, I. Q., Fahmiyah, I., Ningrum, R. A., Fakhruzzaman, M. N., Pratama, A. I., & Triangga, Y. M. (2022). Teacher's acceptance toward cloud-based learning technology in Covid-19 pandemic era. Journal of Computers in Education, 1-16. https://link.springer.com/article/10.1007/s40692-021-00214-8
Van Raaij, E. M., & Schepers, J. J. (2008). The acceptance and use of a virtual learning environment in China. Computers & Education, 50(3), 838-852. https://doi.org/10.1016/j.compedu.2006.09.001
Zamboni, K., Schellenberg, J., Hanson, C., Betran, A. P., & Dumont, A. (2019). Assessing scalability of an intervention: Why, how and who? Health Policy and Planning, 34(7), 544-552. https://doi.org/10.1093/heapol/czz068
Zhang, Y., & Sun, J., & Yang, Z., & Wang, Y. (2020). Critical success factors of green innovation: Technology, organization and environment readiness. Journal of Cleaner Production, 17(1-2), 30-58. https://doi.org/10.1016/j.jclepro.2020.121701
