Multimedia Appendix 1: Positioning of the study in relation to the literature

(i) Information systems/technology adoption: Technology adoption is arguably the most extensively explored area of research within the IS discipline, and it has resulted in the development of rich theories that explain individual technology adoption and use (e.g., [1-7]). Specifically, the technology acceptance model (TAM) [3] has been most widely employed as the basis to investigate individual IT adoption behavior [4]. TAM posits that behavioral intention to use a system (i.e., adoption) is mainly explained by internal user beliefs (namely perceived usefulness and perceived ease of use) regarding the use of the system. Further, external variables (e.g., system characteristics) influence adoption decisions mainly through influencing those internal variables [2]. Venkatesh and Bala [4] synthesized TAM-based studies in order to accumulate the body of knowledge regarding such external variables into a theoretical framework which resulted in suggesting four categories of external variables (i.e., determinants of perceived usefulness and perceived ease of use): individual differences, system characteristics, social influence, and facilitating conditions. We argue that “motivation to take a more active role” while engaging in a behavior (e.g. one’s own health management) for which an information system (e.g. PHR) is designed to support does not fall within any of these categories. Thus, and following the discussion in the introduction of this paper, there is a need to extend current technology acceptance research to account for the role of the change in the user’s motivation to take a more active role while engaging in the behaviour for which an IS is being used and the influence of such motivation and associated role change in motivating the adoption of the IS in question.