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dc.contributor.advisorWattal, Sunil
dc.creatorGovindasamy, Saravana P
dc.date.accessioned2020-11-04T15:19:52Z
dc.date.available2020-11-04T15:19:52Z
dc.date.issued2019
dc.identifier.urihttp://hdl.handle.net/20.500.12613/2942
dc.description.abstractThis research paper examines the innovation adoption of technology, specifically Artificial Intelligence (AI) implementations in hospitals by exploring the capabilities that enables AI innovations using the dynamic capabilities (sensing, seizing and reconfiguring) framework and clinicians’ intentions to use AI innovations for patient care by applying the technology adoption/acceptance framework Unified Theory of Acceptance and Use of Technology (UTAUT) utilizing qualitative case study analysis and quantitative survey methodology respectively. This multi-disciplinary research has considerable relevance to both healthcare business leaders and clinical practitioners by identifying the key factors that drives the decisions to adopt innovations to improve healthcare organizations' competitiveness to enhance patient care as well as to reduce overall healthcare costs. The main findings are: (1) On an organizational level, healthcare organizations with strong and versatile dynamic capabilities, who build on their existing knowledge and capabilities are better able to integrate the innovations into their internal operations and existing services. The identified barriers provide a clear sense of organizational barriers and resistance points for innovation adoption (2) On an individual level, the impact of quality of care and organization leadership support are the key factors that facilitates the adoption of innovation among the clinicians. (3) Current trends and key impact areas of AI technology in the healthcare industry are identified Key words: Innovation, Innovation Adoption, Dynamic Capabilities, Healthcare, Artificial Intelligence, AI, Technology, Strategic Management
dc.format.extent88 pages
dc.language.isoeng
dc.publisherTemple University. Libraries
dc.relation.ispartofTheses and Dissertations
dc.rightsIN COPYRIGHT- This Rights Statement can be used for an Item that is in copyright. Using this statement implies that the organization making this Item available has determined that the Item is in copyright and either is the rights-holder, has obtained permission from the rights-holder(s) to make their Work(s) available, or makes the Item available under an exception or limitation to copyright (including Fair Use) that entitles it to make the Item available.
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectHealth Care Management
dc.subjectInformation Technology
dc.subjectArtificial Intelligence
dc.subjectDynamic Capabilities
dc.subjectInnovation
dc.subjectInnovation Adoption
dc.subjectStrategic Management
dc.subjectUtaut
dc.titleScaling Innovations in Healthcare
dc.typeText
dc.type.genreThesis/Dissertation
dc.contributor.committeememberPavlou, Paul A.
dc.contributor.committeememberWray, Matt
dc.description.departmentBusiness Administration/Management Information Systems
dc.relation.doihttp://dx.doi.org/10.34944/dspace/2924
dc.ada.noteFor Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
dc.description.degreeD.B.A.
refterms.dateFOA2020-11-04T15:19:52Z


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