Abstract
The use of mobile applications (apps) has been growing in the world of technology, a phenomenon related to the increasing number of smartphone users. Even though the mobile apps market is huge, few studies have been made on what makes individuals continue to use a mobile app or stop using it. This study aims to uncover the factors that underlie the continuance intention to use mobile apps, addressing two theoretical models: Expectation confirmation model (ECM) and the extended unified theory of acceptance and use of technology (UTAUT2). A total of 304 questionnaires were collected by survey to test the theoretical framework proposal, using structural equation modelling (SEM). Our findings indicate that the most important drivers of continuance intention of mobile apps are satisfaction, habit, performance expectancy, and effort expectancy.
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Appendix A
Appendix A
Constructs | Items | Adapted from |
---|---|---|
Performance Expectancy | PE1. I find mobile apps useful in my daily life. PE2. Using mobile apps increases my chances of achieving things that are important to me. PE3. Using mobile apps helps me accomplish things more quickly. PE4. Using mobile apps increases my productivity. | (Venkatesh et al. 2011) |
Effort Expectancy | EE1. Learning how to use mobile apps is easy for me. EE2. My interaction with mobile apps is clear and understandable. EE3. I find mobile apps easy to use. EE4. It is easy for me to become skilful at using mobile apps. | (Venkatesh et al. 2011) |
Social Influence | SI1. People who are important to me think that I should use mobile apps. SI2. People who influence my behaviour think that I should use mobile apps. SI3. People whose opinions that I value prefer that I use mobile apps. | (Venkatesh et al. 2011) |
Facilitating Conditions | FC1. I have the resources necessary to use mobile apps. FC2. I have the knowledge necessary to use mobile apps. FC3. Mobile apps are compatible with other technologies I use. FC4. I can get help from others when I have difficulties using mobile apps. | (Venkatesh et al. 2011) |
Hedonic Motivation | HM1. Using mobile apps is fun. HM2. Using mobile apps is enjoyable. HM3. Using mobile apps is very entertaining. | (Venkatesh et al. 2011) |
Price Value | PV1. Mobile apps are reasonably priced. PV2. Mobile apps are a good value for the money. PV3. At the current price, mobile apps provide a good value. | (Venkatesh et al. 2011) |
Habit | HAB1. The use of mobile apps has become a habit for me. HAB2. I am addicted to using mobile apps. HAB3. I must use mobile apps. HAB4. Using mobile apps has become natural to me. | (Venkatesh et al. 2011) |
Confirmation | CONF1. Using mobile apps was better than I expected. CONF2. The service level or function provided for mobile apps in general was better than I predicted. CONF3. Overall, most of my expectations from using mobile apps were confirmed. | (Bhattacherjee 2001b) |
Satisfaction | SAT1. I believe I made the correct decision in using a certain app. SAT2. Using mobile apps makes me feel very satisfied. SAT3. I am pleased with the mobile apps I have downloaded. | (Vila and Kuster 2011) |
Continuance Intention | CI1. I intend to continue using mobile apps in the future. CI2. I will always try to use mobile apps in my daily life CI3. I will keep using mobile apps as regularly as I do now. |
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Tam, C., Santos, D. & Oliveira, T. Exploring the influential factors of continuance intention to use mobile Apps: Extending the expectation confirmation model. Inf Syst Front 22, 243–257 (2020). https://doi.org/10.1007/s10796-018-9864-5
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DOI: https://doi.org/10.1007/s10796-018-9864-5