Smart glasses have the potential to transform healthcare, but their acceptance and use are under pressure due to concerns about social interaction around smart glasses, such as privacy, intended use, and the social isolation of the user. However, the value is seen in healthcare, where they could potentially help manage demographic changes and growing staff shortages. This dissertation poses questions about the acceptance and appropriation of smart glasses in healthcare, including social and ethical implications. Under the premise that humans and technology mutually influence each other, a theoretical framework has been constructed to investigate the complexity of both acceptance and social interaction around smart glasses. In this dissertation, theoretical perspectives from technology acceptance and social cognitive theory are combined with the mediation perspective from philosophy of technology to better understand the appropriation of smart glasses. Through multiple studies, including analyses of YouTube comments, focus groups, a developed and validated questionnaire, and interviews with healthcare professionals, a detailed portrayal of the potential and challenges associated with the appropriation of smart glasses is provided. The results show that although there may initially be concerns and resistance, the perception of smart glasses can change positively after prolonged use. This dissertation emphasizes the importance of studying the appropriation of technology at different stages of diffusion and from different perspectives, to get a richer and more comprehensive picture of how innovations like smart glasses can best be integrated into healthcare.
MULTIFILE
Our study elucidates relational value creation and appropriation in collaborative networks for sustainability (CNfS), which focus on grand societal challenges and include a multiplicity and diversity of actors. Using a relational view lens, we conducted a longitudinal, multiple case, field study of collaborative networks for sustainability in the circular textile and fashion industry, unpacking the interplay between value creation from relational interdependence, relational-specific assets and material output and the multilevel appropriation of that value. Our findings show that value appropriation is contingent on the perception of use value and cascades through individual, organizational and network levels. The ability of actors to capture cascading value on different levels has a direct influence on sustaining the continuity of value creation and to achieving the shared societal goals of CNfS. We developed a model of value appropriation in CNfS to illustrate the cascading flow of value at micro (individual), meso (organizational) and macro (network) levels. Our study makes novel contributions to the literatures on strategic alliances, cross-sector partnerships, and open innovation networks.
DOCUMENT
Our study elucidates relational value creation and appropriation in collaborative networks for sustainability (CNfS), which focus on grand societal challenges and include a multiplicity and diversity of actors. Using a relational view lens, we conducted a longitudinal, multiple case, field study of collaborative networks for sustainability in the circular textile and fashion industry, unpacking the interplay between value creation from relational interdependence, relational-specific assets and material output and the multilevel appropriation of that value. Our findings show that value appropriation is contingent on the perception of use value and cascades through individual, organizational and network levels. The ability of actors to capture cascading value on different levels has a direct influence on sustaining the continuity of value creation and to achieving the shared societal goals of CNfS. We developed a model of value appropriation in CNfS to illustrate the cascading flow of value at micro (individual), meso (organizational) and macro (network) levels. Our study makes novel contributions to the literatures on strategic alliances, cross-sector partnerships, and open innovation networks.
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