Although Information and Communication Technology (ICT) acceptance processes have been studied widely in the social and healthcare context, the theoretical background of these studies is widely based on Technology Acceptance Models (TAM, TAM2, UTAUT) and their extensions. These theoretical models have been criticized for being overly simplistic and focusing narrowly on individual adopters' beliefs, perceptions, and usage intentions without considering multidimensional approaches to capture the complexity of certain phenomena. Thus, there is a need for identifying other approaches to study ICT acceptance in the complex and digitalizing social and health care context. The aim of this review is to identify and describe existing theories and models of ICT acceptance studies, other than TAM and UTAUT, in the social and health care context. In addition, the aim is to identify and classify the dimensions of ICT acceptance within these theories and models. JBI methodology for scoping reviews was used as guidance. A literature search was done on four electronic databases (PubMed, Scopus, Web of Science and CINAHL). The reporting was conducted by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for the scoping review (PRISMA-ScR). Further, descriptive statistics and inductive content analysis were used to analyse the theories, models and dimensions of ICT acceptance within them. 21 studies were included in this review. Results indicated that ICT acceptance in the social and healthcare context have been studied by using a variety of theories and models from different disciplines. Within these theories and models, organization, technology, human, sociocultural and environment were identified as the main dimensions of ICT acceptance in the social and healthcare context. This review provides an overview of the alternative theories and models of ICT acceptance and dimensions to be considered when assessing ICT acceptance in the social and healthcare context.
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