Understanding User Acceptance of IoT Based Healthcare in Jordan: Integration of the TTF and TAM

Abstract

AbstractThe aim of this research is to suggest a unified model that integrates the task fit technology (TTF) model, technology acceptance model (TAM), IoT concerns, and social incentive to examine behavioural intentions to use the Internet of Things (IoT) applications in the healthcare context. A sample of 257 respondents in Jordan who are potential users of IoT participated in this research. Structural equation modelling (SEM) applied via AMOS 25.0 package is carried out to examine the study hypotheses. The findings illustrate that the theoretical model which integrated the TTF model for utility/advantage and TAM for the technology acceptance offers a better comprehensive insight of users’ behaviour relevant to the study setting: (1) perceived usefulness (PU) and attitude (ATT) are significant to the behavioural intentions to use IoT; (2) PU has a critical mediation impact on the relationship between: perceived ease of use (PEoU), the TTF construct, security and privacy (SP), and social influences (SI) and behavioural intentions; (3) PEoU, TTF, and SI are revealed to play critical roles to predict behavioural intentions; (4) ITF, TTF, and SP affect the PEoU; (5) unexpectedly, PEoU and SI have no significant impact on ATT, and ITF and SP do not influence PU. The findings have theoretical and practical implications for IoT researchers, developers, and policymakers.KeywordsIoT acceptanceHealthcareJordanTAMTTFIoT concernsSocial influenceBehavioural intention