Cloud Storage Ethics in Industrial Engineering: A Comparative Analysis of Microsoft OneDrive and SharePoint
- 1* Swiss German University
- 2,3 Department of Information Technology
* Corresponding Author: Riki Afrianto
Open AccessAbstract
This study investigates the technical, ethical, and organizational implications of adopting Microsoft OneDrive and SharePoint within industrial engineering. Both platforms operate under Microsoft’s enterprise cloud infrastructure but differ significantly in governance design and ethical alignment. SharePoint’s hierarchical structure enables effective compliance, accountability, and workflow automation, making it suitable for regulated industrial environments. In contrast, OneDrive prioritizes user flexibility and mobility, which, while enhancing convenience, increases risks related to data misuse, shadow IT, and inconsistent policy adherence. Through a qualitative descriptive approach involving practitioners and academic users, the study identifies that organizational ethics, privacy management, and governance transparency are decisive factors in maintaining digital integrity. The findings indicate that technical safeguards such as encryption and access control must be reinforced by ethical responsibility and user education. Furthermore, sustainable cloud governance requires continuous monitoring, multi-factor authentication, and transparent data policies that respect user privacy and organizational accountability. The study concludes that OneDrive and SharePoint should function as complementary systems—balancing autonomy with oversight—to promote ethical, secure, and efficient collaboration in industrial digital ecosystems.
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References
- Al-Ruithe, M., Benkhelifa, E., & Hameed, K. (2019). A systematic literature review of data governance and cloud data governance. Personal and Ubiquitous Computing, 23(5–6), 839–859. https://doi.org/10.1007/s00779-017-1104-3
- Bednar, K., Spiekermann, S., Langheinrich, M., & Korunovska, J. (2020). Engineering privacy by design: Are engineers ready to live up to the challenge? The Information Society, 36(4), 256–277. https://doi.org/10.1080/01972243.2020.1769741
- Cloud Security Alliance. (2020). Cloud Security Alliance’s CASB survey finds nearly 70% house their most sensitive data in Microsoft SharePoint Online / OneDrive. https://cloudsecurityalliance.org
- Dawood, M., et al. (2023). Cyberattacks and security of cloud computing: A complete guideline. Symmetry, 15(11), 1981. https://doi.org/10.3390/sym15111981
- de Bruin, B., & Floridi, L. (2017). The ethics of cloud computing. Science and Engineering Ethics, 23(1), 21–39. https://doi.org/10.1007/s11948-016-9759-0
- Dhinakaran, D., Udhaya Sankar, S. M., Selvaraj, D., & Edwin Raja, S. (2024). Privacy-preserving data in IoT-based cloud systems: A comprehensive survey with AI integration. arXiv Preprint. https://arxiv.org/abs/2401.00794
- Dhirani, L. L., Mukhtiar, N., Chowdhry, B. S., & Newe, T. (2023). Ethical dilemmas and privacy issues in emerging technologies: A review. Sensors, 23(3), 1151. https://doi.org/10.3390/s23031151
- Freitas, N., Rocha, A. D., & Barata, J. (2025). Data management in industry: Concepts, systematic review and future directions. Journal of Intelligent Manufacturing. Advance online publication. https://doi.org/10.1007/s10845-025-02570-z
- Gharibvand, V., et al. (2024). Cloud-based manufacturing: A review of recent developments in architectures, technologies, infrastructures, platforms and associated challenges. The International Journal of Advanced Manufacturing Technology, 131(1), 93–123. https://doi.org/10.1007/s00170-024-12989-y
- Issaoui, A., Örtensjö, J., & Islam, M. S. (2023). Exploring the General Data Protection Regulation (GDPR) compliance in cloud services: Insights from Swedish public organizations on privacy compliance. Future Business Journal, 9(1), 107. https://doi.org/10.1186/s43093-023-00285-2
- Li, C., Liu, L., & Shi, L. (2024). Review of cloud service composition for intelligent manufacturing. arXiv Preprint. https://arxiv.org/abs/2408.01795
- Mettler, T. (2024). The connected workplace: Characteristics and social consequences of work surveillance in the age of datification, sensorization, and artificial intelligence. Journal of Information Technology, 39(3), 547–567. https://doi.org/10.1177/02683962231202535
- Opara-Martins, J., Sahandi, R., & Tian, F. (2016). Critical analysis of vendor lock-in and its impact on cloud computing migration: A business perspective. Journal of Cloud Computing, 5(1), 4. https://doi.org/10.1186/s13677-016-0054-z
- Yang, D., Li, R., & Liu, S. (2025). Exploring the influence of cloud computing on supply chain performance: The mediating role of supply chain governance. Journal of Theoretical and Applied Electronic Commerce Research, 20(2), 70. https://doi.org/10.3390/jtaer20020070
Author Biographies
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Riki Afrianto, Swiss German University
Department of Information Technology, Swiss German University, Tangerang 15143, Indonesia.
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Sari Nusivera, Department of Information Technology
Department of Information Technology, Swiss German University, Tangerang 15143, Indonesia.
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Hikam Haikal, Department of Information Technology
Department of Information Technology, Swiss German University, Tangerang 15143, Indonesia.
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Copyright (c) 2025 Riki Afrianto, Sari Nusivera, Hikam Haikal

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