Investigating the Determinants of IoT Device Continuance Intentions: An Empirical Study of Smart Speakers Through the Lens of Expectation-Confirmation Theory

Abstract

IoT device market has grown rapidly in recent years, with many researches have been done to investigate the IoT devices’ adoption factors. However, it is crucial to understand how to maintain the users’ continuance intention. This study, based on the post-acceptance model of the Expectation Confirmation Model (ECM), investigates the impact of early-stage users’ personal traits (personal innovativeness), social influence (normative and informational), and familiarity, on the social diffusion of IoT devices (in particular, smart speakers) measured by the continuation intention of smart speakers. We tested the research model and hypotheses using data from 364 smart speaker users, analyzed with partial least square technique using Smart-PLS. The data analysis results revealed that satisfaction has a very strong and positive impact on continuance intention. Perceived usefulness, confirmation, and personal innovativeness are positively associated with continuance intention via satisfaction. Social influence, represented by normative and informational social influence, showed a significant positive impact on continuance intention, a high degree of familiarity weakens the influence of normative social influence on continuance intention; however, familiarity has no impact on the relationship between informational social influence and continuance intention.