Sponsor
Portland State University. Department of Engineering and Technology Management
First Advisor
Charles M. Weber
Date of Publication
Summer 8-3-2018
Document Type
Dissertation
Degree Name
Doctor of Philosophy (Ph.D.) in Technology Management
Department
Engineering and Technology Management
Language
English
Subjects
Fuzzy decision making, Cognitive maps (Psychology), Technology and older people, Wearable technology
DOI
10.15760/etd.6395
Physical Description
1 online resource (xiv, 563 pages)
Abstract
Providing healthcare to the ever-rising elderly population has become a severe challenge and a top priority. Emerging innovations in healthcare, such as remote health monitoring technologies, promise to provide a better quality of care and reduce the cost of healthcare. However, many elderly people reject healthcare innovations. This lack of adoption constitutes a big practical problem because it keeps the elderly from benefiting from technology advances. The phenomenon is even more pronounced among elderly women, who represent the majority of the elderly population.
A plethora of studies in the field of technology adoption resulted in sound, but highly generalized theories that are too parsimonious to provide practical insight into the phenomenon of elderly healthcare technology adoption (EHTA). There is a call to arms for novel approaches that facilitate the creation of models that expand technology adoption theories to the specifics of EHTA. This dissertation is a response to this call to arms, and it contributes to modeling practice in the EHTA field. It uses fuzzy cognitive mapping to design a novel mixed-methods modeling approach. Since elderly women constitute the majority of the elderly population, this dissertation treats elderly women's health technology adoption (EWHTA) as the case-in-point.
Rights
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Persistent Identifier
https://archives.pdx.edu/ds/psu/26214
Recommended Citation
Rahimi, Noshad, "Developing a Mixed-Methods Method to Model Elderly Health Technology Adoption with Fuzzy Cognitive Map, and its Application in Adoption of Remote Health Monitoring Technologies by Elderly Women" (2018). Dissertations and Theses. Paper 4511.
https://doi.org/10.15760/etd.6395