Impact of Cloud Computing on Business Continuity and Disaster Recovery
DOI:
https://doi.org/10.47941/jts.2146Keywords:
Cloud Computing, Business Continuity, Disaster Recovery, Scalability, Data SecurityAbstract
Purpose: This study sought to explore the impact of cloud computing on business continuity and disaster recovery.
Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library.
Findings: The findings reveal that there exists a contextual and methodological gap relating to cloud computing on business continuity and disaster recovery. Preliminary empirical review revealed that cloud computing significantly enhanced organizational resilience and recovery capabilities by providing scalable, flexible, and cost-efficient solutions. It highlighted that while cloud-based solutions reduced recovery times and minimized operational downtime, organizations needed to address challenges related to data security, regulatory compliance, and integration with existing systems. The effectiveness of these solutions varied depending on factors such as cloud deployment type and organizational needs. Overall, the study affirmed that cloud computing offered substantial benefits for disaster recovery but required a thoughtful approach to integration and management.
Unique Contribution to Theory, Practice and Policy: The Resource-Based View (RBV) Theory, Contingency Theory and Dynamic Capabilities Theory may be used to anchor future studies on cloud computing on business continuity and disaster recovery. The study recommended that organizations develop tailored cloud-based disaster recovery solutions aligned with their specific needs and risk profiles. It advocated for the creation of industry-specific guidelines and standards to address challenges such as data sovereignty and vendor lock-in, and for policymakers to streamline regulatory requirements. The study also suggested that organizations adopt a phased approach to cloud implementation, conduct thorough risk assessments, and establish robust management practices. Future research was encouraged to explore the long-term impacts of cloud computing on disaster recovery and to investigate the role of emerging technologies in enhancing cloud-based solutions.
Downloads
References
Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R. H., Konwinski, A., ... & Zaharia, M. (2010). A View of Cloud Computing. Communications of the ACM, 53(4), 50-58. https://doi.org/10.1145/1721654.1721678
Barney, J. (1991). Firm Resources and Sustained Competitive Advantage. Journal of Management, 17(1), 99-120. https://doi.org/10.1177/014920639101700108
Bertino, E., & Sandhu, R. (2017). The Role of Edge Computing in Enhancing Cloud-Based Disaster Recovery. IEEE Transactions on Cloud Computing, 5(3), 653-663. https://doi.org/10.1109/TCC.2017.2746010
Brown, L., & Smith, J. (2021). The Future of Business Continuity and Disaster Recovery: Leveraging AI and Machine Learning. International Journal of Information Systems and Technology, 18(4), 456-467. https://doi.org/10.1057/s41301-021-00227-1
Deloitte. (2017). The Cloud Computing Advantage. Retrieved from https://www2.deloitte.com/us/en/insights/industry/technology/cloud-computing-advantage.html
Federal Emergency Management Agency. (2020). Business Continuity Planning. Retrieved from https://www.fema.gov/sites/default/files/2020-08/Business_Continuity_Planning.pdf
Fiedler, F. E. (1964). A Contingency Model of Leadership Effectiveness. Advances in Experimental Social Psychology, 1, 149-190. https://doi.org/10.1016/S0065-2601(08)60051-0
Forrester Research. (2020). The Total Economic Impact of Cloud Disaster Recovery. Retrieved from https://go.forrester.com/research/total-economic-impact-of-cloud-disaster-recovery/
Gartner. (2021). Hybrid Cloud Disaster Recovery: Strategies and Benefits. Retrieved from https://www.gartner.com/document/4006542
Gartner. (2023). Cloud-Based Disaster Recovery Solutions: Market Trends and Insights. Retrieved from https://www.gartner.com/document/4009871
Hargreaves, T., & Scullion, J. (2018). Business Continuity Planning and Management in the UK: Lessons Learned from the Manchester Arena Attack. Journal of Business Continuity & Emergency Planning, 12(3), 223-235. https://doi.org/10.1057/s41289-018-0043-4
Hochheiser, H. (2014). Cost Benefits of Cloud-Based Disaster Recovery. Journal of Cloud Computing, 3(1), 56-68. https://doi.org/10.1186/s13677-014-0024-5
Jansen, W., & Grance, T. (2011). Guidelines on Security and Privacy in Public Cloud Computing. National Institute of Standards and Technology. https://doi.org/10.6028/NIST.SP.800-144
Jones, R., & Williams, P. (2019). The Role of Cloud Computing in Business Continuity and Disaster Recovery. Journal of Cloud Computing: Advances, Systems and Applications, 8(1), 34-47. https://doi.org/10.1186/s13677-019-0140-0
Kinoshita, K. (2017). Disaster Recovery and Business Continuity in Japan: Lessons from the 2011 Tōhoku Earthquake. International Journal of Disaster Risk Reduction, 22, 234-246. https://doi.org/10.1016/j.ijdrr.2017.01.007
Kinoshita, Y. (2017). Cloud Computing's Role in Japan's Disaster Recovery Efforts. Japan Journal of Information Technology, 12(4), 78-89.
Mell, P., & Grance, T. (2011). The NIST Definition of Cloud Computing. National Institute of Standards and Technology. https://doi.org/10.6028/NIST.SP.800-145
Mell, P., & Grance, T. (2011). The NIST Definition of Cloud Computing. National Institute of Standards and Technology. https://doi.org/10.6028/NIST.SP.800-145
Mkhize, M., & Nair, S. (2021). Business Continuity and Disaster Recovery in South Africa’s Financial Sector. African Journal of Business Management, 15(7), 112-123. https://doi.org/10.5897/AJBM2021.9174
Ponemon Institute. (2022). Cost of Downtime Study. Retrieved from https://www.ponemon.org/library/cost-of-downtime
Rittinghouse, J. W., & Ransome, J. F. (2016). Cloud Computing: Implementation, Management, and Security. CRC Press.
Silva, F. P., & Costa, D. (2020). Business Continuity and Disaster Recovery in Brazil: A Case Study of the Brumadinho Dam Collapse. Journal of Risk Research, 23(6), 788-804. https://doi.org/10.1080/13669877.2020.1815708
Smith, L., & Veenema, T. G. (2016). Business Continuity and Disaster Recovery Planning for IT Professionals. CRC Press. https://doi.org/10.1201/9781315378623
Srinivasan, K., & Kurnia, S. (2018). Hybrid Cloud Disaster Recovery: Integrating Cloud Computing with Traditional DR Plans. Journal of Cloud Computing: Advances, Systems and Applications, 7(1), 12-27. https://doi.org/10.1186/s13677-018-0110-6
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
Walgreens. (2017). How Walgreens Leveraged Cloud Computing During Hurricane Harvey. Retrieved from https://news.walgreens.com/press-releases/2017/how-walgreens-leveraged-cloud-computing-during-hurricane-harvey.htm
Zhang, Q., Cheng, L., & Boutaba, R. (2010). Cloud Computing: State-of-the-Art and Research Challenges. Journal of Internet Services and Applications, 1(1), 7-18. https://doi.org/10.1007/s13174-010-0007-6
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Omar Ibrahim
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution (CC-BY) 4.0 License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.