对MySejahtera, e-Penjana的认知:识别关键因素

Chien-Sing Lee, Ser-Jin Chua, Ming-Ho Kok
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引用次数: 0

摘要

混合动力系统越来越受欢迎,以降低复杂性,并整合各种选择的最佳选择。本文探讨了马来西亚人对MySejahtera联系人追踪应用程序及其配套的电子钱包服务提供商e-Penjana的看法。研究结果强调,MySejahtera-e-Penjana中的能力成熟度模型和设计思维的映射导致了基于需求的政府-公民沟通手段和开放/可扩展/可扩展的供应链战略。使用逻辑回归和聚类分析表明,有用性、易用性和社会规范是接受MySejahtera的最重要因素,而对于e-Penjana来说,便利性、多样性和激励类型是最重要的。因此,我们收集了医疗保健聊天机器人的需求,以帮助/教育老年人,他们可能不太懂技术。我们推测,对于上述应用程序,数据挖掘可以带来上下文感知的帮助,以及有用的相关产品推荐。通过额外的集成和智能伙伴关系,它是相互连接扩展的测试平台。
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Perceptions Towards MySejahtera, e-Penjana: Identifying Key Factors
Hybrid systems are increasingly popular to reduce complexity as well as to integrate the best of diverse options. This paper explores Malaysians' perceptions towards the MySejahtera contact tracing app and e-Penjana, its accompanying e-wallet service provider. Findings highlight that mapping to the Capability Maturity Model and design thinking in MySejahtera-e-Penjana, has led to a needs-based government-citizen communication means and an open/scalable/extensible supply chain strategy. Analyses using logistic regression and clustering indicate that usefulness, ease of use and social norms are the most important in accepting MySejahtera, and for e-Penjana, convenience, variety and the types of incentives. Consequently, we gather requirements on a healthcare chatbot, to aid/educate the seniors, who may be less tech-savvy. We surmise, for the above apps, data mining can lead to context-aware help, and useful related product recommendations. With additional integration and smart partnerships, it is a testbed for interconnected extensions.
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