[论文解读] Intention to Use SMS Vaccination Reminder and Management System among Health Centers in Malaysia: The Mediating Effect of Attitude

Kamal Karkonasasi, Cheah Yu-N+1 more|arXiv (Cornell University)|Jun 28, 2018

Technology Adoption and User Behaviour参考文献 59被引用 6

一句话总结

本研究基于技术接受模型，探讨马来西亚卫生中心采用短信疫苗接种提醒与管理系统意愿的影响因素。研究发现，感知有用性是最强的使用意愿预测因子，态度在其中起显著中介作用，而人口统计学因素则无显著影响。

ABSTRACT

The purpose of this study is to find out influential factors of intention to use the proposed system among health centers by considering the technology acceptance model as the underlying theory. The proposed model of this study is tested using data collected from self-directed questionnaires filled up by 70 nurses in government hospitals and government clinics in Malaysia. A research method, which is based on the multi-analytical approach of Multiple Regression Analysis and Artificial Neural Networks, helps to refine the results of this study. The compatibility of the proposed system only has a significant and positive effect on attitude to use the system among other factors. Moreover, health centers' intention to use the system is further influenced by their perceived usefulness than their attitude to use. The mediating effect of Attitude is also proved. However, there is not any statistically significant difference in Intention scores accounting for the participants' demographic characteristics. The implication of this study is that by developing the system, which fits to the current procedures of health centers, we give them positive feelings. IT educational programs also should be provided for nurses to identify the benefits of the proposed system. It is also important to consider the indirect effects from independent variables on intention to use the system. However, the system does not require to consider the demographic characteristics of its end users.

研究动机与目标

• 识别影响马来西亚卫生中心采纳短信疫苗接种提醒与管理系统意愿的因素。
• 检验态度在系统兼容性与使用意愿关系中的中介作用。
• 评估人口统计特征对采纳意愿的影响。
• 评估双方法（多元回归与人工神经网络）在分析采纳因素方面的有效性。
• 为改善系统设计及医护人员信息技术教育提供可操作的见解。

提出的方法

• 以技术接受模型（TAM）作为本研究的理论基础。
• 通过自填式问卷从马来西亚政府医院和诊所的70名护士中收集数据。
• 使用多元回归分析评估兼容性、感知有用性、态度与使用意愿等变量之间的直接关系。
• 采用人工神经网络（ANN）对回归结果进行优化与验证，以提高预测准确性。
• 运用统计方法检验态度的中介效应，确认自变量到使用意愿的间接路径。
• 分析人口统计变量（如年龄、性别、经验）对采纳意愿的潜在调节效应。

实验结果

研究问题

• RQ1 哪些因素显著影响马来西亚卫生中心采纳短信疫苗接种提醒与管理系统意愿？
• RQ2 态度在系统兼容性与使用意愿关系中的中介作用程度如何？
• RQ3 感知有用性与其他因素相比，在预测采纳意愿方面有何差异？
• RQ4 护士的人口统计特征（如年龄、性别、工作经验）是否在采纳意愿上存在显著差异？
• RQ5 多元回归与人工神经网络的预测结果在预测系统采纳方面有何比较？

主要发现

• 所提出系统的兼容性对护士使用该系统的态度具有显著且积极的影响。
• 感知有用性是使用意愿的最强预测因子，其影响力甚至超过态度。
• 态度在系统兼容性与使用意愿之间起完全中介作用，证实了其中介角色。
• 在年龄、性别或工作经验等人口统计群体之间，使用意愿无显著差异。
• 双方法（多元回归与人工神经网络）显著提升了研究结果的稳健性与可靠性。
• 本研究建议，系统设计应与现有卫生中心工作流程保持一致，以促进积极态度并提高采纳率。