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Factors Predicting Decisions About Technology Adoption Among Older Adults.

ABSTRACT: Background and Objectives:Numerous technology applications are available that have the potential to improve the quality of life (QoL) of older adults. However, older adults are less likely to adopt new and emerging technologies and reap the potential benefits. This study examines factors that influence older adults' decisions about the adoption of new technology. Research Design and Methods:Fifty-two older adults participated in a mixed-method procedure, which entailed: (1) observing presentations detailing nine differing technologies, (2) assessing the technologies using tailored questionnaires, and (3) participating in focus group discussions. Participants were assigned into one of seven groups separated by age (65-74, 75+) and language (English, Spanish). The outcome was willingness to adopt technology. Predictors included self-assessed abilities (e.g., numeric ability), computer/Internet skills and knowledge, technology readiness, age, language, and technology ratings (e.g., perceived value). Analyses included Spearman's ?, t-tests, and regression analysis. Focus group discussions were examined for supportive examples. Results:Self-assessed abilities and computer/Internet skills were predictive of willingness to adopt technologies although the relationship varied according to the technology examined. Technology readiness, age, and language group showed weak associations with the outcome. Of the technology ratings, perceived value, confidence in ability to learn the technology, and the perceived impact on QoL were the most robust predictors of willingness to adopt technology. Discussion and Implications:Findings indicate that various stakeholders in technology adoption among older adults must be cognizant of a technology's functionality and complexity as well as the characteristics and abilities of older adults. However, certain factors such as perceptions about the value of the technology and potential impact on QoL are also critically important to decisions regarding technology adoption among older people.

SUBMITTER: Berkowsky RW

PROVIDER: S-EPMC6177084 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature

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Factors Predicting Decisions About Technology Adoption Among Older Adults.

Berkowsky Ronald W RW Sharit Joseph J Czaja Sara J SJ

Innovation in aging 20180101 1

<h4>Background and objectives</h4>Numerous technology applications are available that have the potential to improve the quality of life (QoL) of older adults. However, older adults are less likely to adopt new and emerging technologies and reap the potential benefits. This study examines factors that influence older adults' decisions about the adoption of new technology.<h4>Research design and methods</h4>Fifty-two older adults participated in a mixed-method procedure, which entailed: (1) observ ...[more]

PMID: 30480129

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Project description:Background and Objectives:There is growing evidence of the benefits of computers for older adults. Yet, adoption rates are lower compared with younger adults. Extant theoretical models of technology acceptance are limited in their application to older adults-studies on which these models are based included a limited sample of older adults or none at all; none assessed use of a technology specifically designed for older adults; and most only measured intention to use a technology or short-term use, rather than longer-term use (i.e., adoption). We assessed adoption of a computer system specifically designed for older users, for a diverse sample, over an extended period of time. Research Design and Methods:We analyzed archival data from 150 ethnically diverse older adults (65-98 years of age) who participated in the Personal Reminder Information and Social Management (PRISM) randomized controlled trial (Czaja SJ, Boot WR, Charness N, Rogers WA, Sharit J, Fisk AD,…Nair SN. The personalized reminder information and social management system (PRISM) trial: Rationale, methods and baseline characteristics. Contemp Clin Trials. 2015;40:35-46; Czaja SJ, Boot WR, Charness N, Rogers WA, Sharit J. Improving social support for older adults through technology: Findings from the PRISM randomized controlled trial. Gerontologist. 2017;58:467-477). We examined the extent to which attitudes, personal characteristics (e.g., age, gender, and personality), and cognitive abilities predicted mid-term and long-term adoption of a computer system designed for older adults. Results:There were individual differences in PRISM use over time. Regression analyses indicated that individual differences in earlier use of the system, executive functioning, and computer efficacy predicted long-term use. Discussion and Implications:These data provide insights for broader-based models of technology acceptance to guide design, instruction, and deployment of products for older adults. Specifically, the provision of opportunities to foster efficacy and gain positive experience with computer technologies may play a critical role in the likelihood that older adults adopt such technologies. Trial Registration:NCT01497613.

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Project description:The UK is the largest lamb meat producer in Europe. However, the low profitability of sheep farming sector suggests production efficiency could be improved. Although the use of technologies such as Electronic Identification (EID) tools could allow a better use of flock resources, anecdotal evidence suggests they are not widely used. The aim of this study was to assess uptake of EID technology, and explore drivers and barriers of adoption of related tools among English and Welsh farmers. Farm beliefs and management practices associated with adoption of this technology were investigated. A total of 2000 questionnaires were sent, with a response rate of 22%. Among the respondents, 87 had adopted EID tools for recording flock information, 97 intended to adopt it in the future, and 222 neither had adopted it, neither intended to adopt it. Exploratory factor analysis (EFA) and multivariable logistic regression modelling were used to identify farmer beliefs and management practices significantly associated with adoption of EID technology. EFA identified three factors expressing farmer's beliefs-external pressure and negative feelings, usefulness and practicality. Our results suggest farmer's beliefs play a significant role in technology uptake. Non-adopters were more likely than adopters to believe that 'government pressurise farmers to adopt technology'. In contrast, adopters were significantly more likely than non-adopters to see EID as practical and useful (p≤0.05). Farmers with higher information technologies literacy and intending to intensify production in the future were significantly more likely to adopt EID technology (p≤0.05). Importantly, flocks managed with EID tools had significantly lower farmer- reported flock lameness levels (p≤0.05). These findings bring insights on the dynamics of adoption of EID tools. Communicating evidence of the positive effects EID tools on flock performance and strengthening farmer's capability in use of technology are likely to enhance the uptake of this technology in sheep farms.

Dataset Information

Factors Predicting Decisions About Technology Adoption Among Older Adults.

Publications

Factors Predicting Decisions About Technology Adoption Among Older Adults.

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