First Advisor

Charles M. Weber

Date of Publication

Summer 8-3-2018

Document Type


Degree Name

Doctor of Philosophy (Ph.D.) in Technology Management


Engineering and Technology Management




Fuzzy decision making, Cognitive maps (Psychology), Technology and older people, Wearable technology



Physical Description

1 online resource (xiv, 563 pages)


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.


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