This dissertation investigates videoconference technology adoption by aging-in-place organizations to facilitate the social engagement of older adults. It comprises three studies that examine the initiation and coordination of technology adoption by aging-in-place organizations and addresses the factors associated with successful adoption of relational videoconference technology by older adults. The first study is a systematic literature review exploring the role of aging-in-place organizations in social engagement of older adults through videoconference technology. The second study is a survey of adult relatives and friends of older adults regarding videoconference technology adoption by older adults during the COVID-19 pandemic and their experience with facilitating resources. It applies technology adoption theory and a structural equation model to characterize the role of aging-in-place organizations. The third study is a pilot test of a new online platform called Circular that is designed to support social engagement of older adults. Through these studies, this research extends the existing body of knowledge regarding modes to facilitate adoption of relational technology by older adults and to empower senior centers and other aging-in-place organizations as they seek to socially engage the aging members of their communities.

This applied dissertation is an instrumental case study based on diffusion of innovations theory designed to gather student opinions regarding videoconference (VC) technology use in facilitating courses to undergraduate degree-seeking nursing students. The author of diffusion of innovations theory, Rogers (2003), recommended that more qualitative studies be conducted in education. Rogers and Jain (1968) recommended these studies should be conducted from the aspect of “receivers of innovation diffusion” (p.1) to provide feedback instrumental to implementation of technological innovations in academe. Further, Rogers stated that multiple data points should be used during the process of trialing an innovation. Therefore, a current VC course was selected from the nursing curriculum of a public state college hosting one of the largest nursing programs in the southeastern United States in which to conduct the study. A total of 32 students participated divided equally between two sites: Main campus and Regional campus. Further divided, 22 personal interviews were conducted and two focus groups; one for each campus consisting 5 students each. Additionally, included in the data corpus were 40 hours of classroom observation plus, college provided end of course (EOC) summary statements. These data were triangulated to determine whether students would accept VC technology unchanged, accept with modifications, or reject VC technology based on first time exposure to the innovation during the 16-week semester. Student innovation decisions were: 6 students accepted unchanged, 14 students accepted with modifications, and 12 students rejected the innovation. Students who rejected the innovation were exclusively from the regional campus, which was the receiving site the majority of the semester. First and second-cycle analyses yielded 67 codes resulting in 5 categories, which further developed into 3 emerging themes: (a) Interaction with instructors, materials, and distant students are key elements affecting adoption decisions of students regarding VC technology; (b) Student adoption decisions are influenced by faculty members in their use of VC technology; and (c) Student opinions indicate that reinvention is necessary for VC technology to be fully adopted into the present nursing program. The five categories: Interaction, equipment, teaching methodology, instructor technology training, and student orientation provided ample detail from which to inform practice regarding recommendations for reinvention (modification) of VC technology during the implementation stage of Rogers’ five stages of the innovation-decision model. These modifications could assist the college in gaining parity between the two nursing sites, which reported an 18.53 percentage point difference in first time pass rates on the NCLEX-RN exam reported by the Florida Department of Health (Florida Health, 2015).