Ong Ardvin Kester S, Altes Gerlyn C, German Josephine D
School of Industrial Engineering and Engineering Management, Mapúa University, 658 Muralla St., Intramuros, Manila, 1002, Manila, Philippines.
Sci Rep. 2024 Nov 22;14(1):28955. doi: 10.1038/s41598-024-80676-9.
Cloud storage has been widely considered among developed and developing countries due to its ability to provide a platform for large data and information storage. Developing countries like the Philippines have started using this storage and have only since considered the free services. With the aim to understand utility for development and continuous patronage, there has been lacking evidence in the intention and actual use of cloud storages. The need for study is evident to promote and develop concrete strategies for cloud storage uptake, even if payment is needed for extra storage. This study analyzed the antecedents of actual use behavior of cloud storage in a developing country like the Philippines using a machine learning ensemble (MLE). With 616 valid responses, a total of 33,264 datasets were processed to analyze the actual use of cloud storage among Filipinos, measured using the integrated extended technology acceptance model and valence framework. With an average accuracy of 93% and 90% for the MLE considered, results have presented consistent output of voluntariness, subjective norm, perceived benefit, perceived usefulness, and perceived ubiquity to be contributing factors affecting actual use behavior. It could be posited that both personal and professional usage of cloud storage has been considered by users. In addition, due to people's readiness to use technology nowadays, the adoption of which is relatively convenient for them. Evident from the findings, further technological infrastructure is needed to be enhanced in the country for a more positive continuous intention. Therefore, the application of the integrated framework may be used and expanded for other technology utilities in different countries. Lastly, practical and managerial insights were built on the results to provide strategies and development needed for marketing, utility, and application.
由于云存储能够为大数据和信息存储提供一个平台，它在发达国家和发展中国家都得到了广泛的考虑。像菲律宾这样的发展中国家已经开始使用这种存储方式，并且只考虑了免费服务。为了了解其对发展的效用以及持续使用情况，目前缺乏关于云存储使用意图和实际使用情况的证据。显然有必要进行研究，以促进和制定云存储采用的具体策略，即使额外存储需要付费。本研究使用机器学习集成（MLE）分析了菲律宾等发展中国家云存储实际使用行为的影响因素。通过616份有效回复，共处理了33264个数据集，以分析菲律宾人对云存储的实际使用情况，使用综合扩展技术接受模型和效价框架进行测量。考虑到MLE的平均准确率分别为93%和90%，结果表明自愿性、主观规范、感知利益、感知有用性和感知普遍性是影响实际使用行为的因素。可以推测，用户已经考虑到了云存储的个人和专业用途。此外，由于如今人们愿意使用技术，采用云存储对他们来说相对方便。从研究结果可以看出，该国需要进一步加强技术基础设施，以形成更积极的持续使用意愿。因此，综合框架的应用可以在不同国家用于其他技术应用并加以扩展。最后，基于研究结果得出了实际的管理见解，以提供营销、应用和使用所需的策略和发展方向。
