Franque Frank Bivar, Oliveira Tiago, Tam Carlos
NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Campus de Campolide, 1070-312 Lisboa, Portugal.
Faculdade de Engenharia, Universidade Católica de Moçambique, Av. da Liberdade 256, 261 Chimoio, Mozambique.
Heliyon. 2021 Aug 17;7(8):e07807. doi: 10.1016/j.heliyon.2021.e07807. eCollection 2021 Aug.
Few studies have been conducted about individuals' continuance to use m-payment, especially in an African context. This study investigates the continuance intention to use m-payment, employing two theoretical models: the DeLone and McLean information system (D&M IS) success model and the expectation-confirmation model (ECM) in an African context. We collected 338 questionnaires through an online survey to evaluate and validate the proposed theoretical model, using partial least squares - structural equation modelling (PLS-SEM). Our results indicate that the most important predictors of continuance intention to use m-payment are individual performance, use, and satisfaction. The results present useful insight to understand continuance intentions toward mobile payment in an African context. The integration of D&M IS success model, and the ECM model is to allow us to understand the main factors affecting the continuance intention to use mobile payment in the African context. By combining these two models we show how to compensate for and complement the weaknesses and strengths of the models, solidifying our findings of continuance intention with a stronger model that is otherwise not possible.
关于个人持续使用移动支付的研究很少，尤其是在非洲背景下。本研究在非洲背景下运用两种理论模型——德洛内和麦克林信息系统（D&M IS）成功模型以及期望确认模型（ECM），调查移动支付的持续使用意愿。我们通过在线调查收集了338份问卷，使用偏最小二乘结构方程模型（PLS-SEM）来评估和验证所提出的理论模型。我们的结果表明，持续使用移动支付意愿的最重要预测因素是个人绩效、使用情况和满意度。这些结果为理解非洲背景下移动支付的持续使用意愿提供了有用的见解。D&M IS成功模型和ECM模型的整合使我们能够了解影响非洲背景下移动支付持续使用意愿的主要因素。通过结合这两个模型，我们展示了如何弥补和补充模型的弱点与优势，用一个更强有力的模型巩固我们关于持续使用意愿的研究结果，否则这是不可能实现的。
