PurposeThis study aims to describe, synthesise and clarify the findings of published studies on individual continuance intention to use an information system (IS), considering the fact that the number of studies in the continuance intention context are growing exponentially and cover several different subjects.Design/methodology/approachThe research uses meta- and weight analysis by taking 115 empirical studies from continuance intention to use an IS. The data are presented in different views using significant and non-significant relationships from all the studies. Furthermore, it uses hierarchical linear meta-analysis to analyse potential moderators that can influence continuance intention.FindingsThe results reveal that affective commitment, attitude, satisfaction, hedonic value and flow are the best predictors of continuance intention to use an IS. Sample size, individualism, uncertainty avoidance and long-term orientation moderate the relationship of perceived usefulness on continuance intention. Power distance, masculinity and indulgence moderate relationship satisfaction on continuance intention.Practical implicationsThe results reveal that continuance intention to use an IS has been studied in different countries, with different cultures; therefore, IS providers should have diversified managing strategies, to ensure the satisfaction of users and long-term usage of their IS.Originality/valueThe study provides a systematic overview of the most relevant variables used in the literature, including a temporal analysis of the theoretical models, highlighting the evolution of the constructs and presents a moderation analysis.
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.
The use of mobile payment (m-payment) is growing exponentially in developing countries. A small number of investigations have been undertaken on what makes people continue to use mpayment in an African context. We combine the task technology fit (TTF) model, expectationconfirmation model (ECM), and trust dimension to explain the influence of continuance use of mpayment. We collected 384 valid questionnaire responses from Mozambique. The results show that the relevant constructs to explain continuance intention are use, individual performance, overall trust, and the moderation role of satisfaction.
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