Abstract
The continuance of use is an important topic of IS research. However, in the past, many researchers have focused on adoption rather than IS continuance. Studying continuance is of equal importance, because if use does not persist, this may limit the revenues of the provider. This is particularly true for consumer-oriented services, which rely on advertising, or subscription-based revenue models. In this paper, we investigate the determinants of location-based services (LBS) continuance as a relevant case study for the examination of IS continuance generally. A research model is developed and empirically tested through a survey of a representative sample in Germany. The proposed model builds on and extends the Limayem et al. model of IS continuance. Our analysis highlights the importance of habit and emotion in LBS continuance. The results indicate that habit has a stronger predictive power than continuance intentions for LBS continuance and that emotions are an important driver for user satisfaction with LBS.
Recommended Citation
Lehrer, Christiane; Constantiou, Ioanna; and Hess, Thomas, "Examining the Determinants of Mobile Location-based Services’ Continuance" (2011). ICIS 2011 Proceedings. 13.
https://aisel.aisnet.org/icis2011/proceedings/humanbehavior/13
Examining the Determinants of Mobile Location-based Services’ Continuance
The continuance of use is an important topic of IS research. However, in the past, many researchers have focused on adoption rather than IS continuance. Studying continuance is of equal importance, because if use does not persist, this may limit the revenues of the provider. This is particularly true for consumer-oriented services, which rely on advertising, or subscription-based revenue models. In this paper, we investigate the determinants of location-based services (LBS) continuance as a relevant case study for the examination of IS continuance generally. A research model is developed and empirically tested through a survey of a representative sample in Germany. The proposed model builds on and extends the Limayem et al. model of IS continuance. Our analysis highlights the importance of habit and emotion in LBS continuance. The results indicate that habit has a stronger predictive power than continuance intentions for LBS continuance and that emotions are an important driver for user satisfaction with LBS.