Who is and who is not willing to use online employer‐provided retirement investment advice

Joo, So Hyun; Grable, John E.; Choe, Hyuncha

doi:10.1002/j.2161-1920.2007.tb00026.x

Cited by 5 publications

(3 citation statements)

References 14 publications

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“…They found that health condition was in tandem with the desire and confidence to use the Internet. Similar findings were obtained in earlier studies where financial status was seen as a relevant factor in the older adults' selfconfidence in Internet use (Czaja et al, 2006;Joo et al, 2007).…”

Section: Factors Impacting Older Adults' Self-efficacy In Computer Usesupporting

confidence: 90%

“…Evidence from empirical research indicates the individual's overall life satisfaction is related to health, income, financial status, and job satisfaction (Joo et al, 2007;O'Conner, 2013). Cresci and Novak (2012) examined urban elders' collective perceptions on health condition/financial status and overall life satisfaction.…”

Section: Overall Life Satisfaction As a Mediatormentioning

confidence: 99%

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Older adults’ self-efficacy in computer use and the factors that impact their self-efficacy: a path analysis

Spears

Zheng

2020

Educational Gerontology

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The current study examined the older adults' self-efficacy in computer use and explored the factors that impacted and mediated their self-efficacy. Older adults (N = 339) were recruited from a western mid-size city in the U.S. and participated in a survey. Results of the path analysis revealed that computer experience and financial health factors were predictors that significantly impacted the outcome, i.e., the older adults' self-efficacy in computer use. Meanwhile, this predicting-outcome relationship was mediated by the mediators like perception of computer role, overall life satisfaction, and emotional well-being. The study is significant in that it contributes to the research and practicing community the understanding of the relationship between older adults' self-efficacy in computer use and the factors that predict and mediate older adults' self-efficacy in computer use. Research has demonstrated that older adults often experience a lack of confidence when using digital technology (Daniel et al., 2011; Zheng et al., 2016). Reneland-Forsman (2018) investigated older adults' digital participation and noted that lacking self-confidence can significantly impact older adults' abilities to use digital technology in meeting their late-life needs including health care, financial management, retirement planning and recreational needs. Although previous research has revealed the relationship between self-efficacy and efficiency of computer use in older adults (Gatti et al., 2017; Reneland-Forsman, 2018), few studies have actually looked into the factors that influence older adults' self-efficacy in computer use. This line of research is important because by determining the factors that impact older adults' self-efficacy in computer use, the educators, curriculum developers and trainers will be able to identify the approaches that are effective for improving older adults' self-efficacy as well as their abilities to confidently use the computers. Therefore, the goal of the current study is to investigate the factors that relate to older adults' self-efficacy in computer use. Theoretical background The increase of aging population is accompanied by a parallel surge in the use of computer and Internet among older adults (Huber & Watson, 2014). A recent study by International Telecommunication Union (2019) showed an estimated 4.1 billion people are using the Internet in 2019, reflecting a 5.3% increase compared with 2018 and 14.5% increase compared with 2014. Among the growing population of Internet users, older people are increasingly becoming active users of social media where they find information, share their experiences and connect with friends and family

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Section: Factors Impacting Older Adults' Self-efficacy In Computer Usesupporting

confidence: 90%

Section: Overall Life Satisfaction As a Mediatormentioning

confidence: 99%

Older adults’ self-efficacy in computer use and the factors that impact their self-efficacy: a path analysis

Spears

Zheng

2020

Educational Gerontology

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“…They found that health condition was in tandem with the desire and interest to know what to expect as one grows older. Individuals' financial status is also increasingly perceived to be connected with Internet use (Joo, Grable, & Choe, 2007;O'Connor, 2013). Tien and Tsai (2013) found that older adults consider the Internet to be one of major resources for financial consultation and management.…”

Section: Examined Urban Elders' Older Adults' Perceptions Of Internetmentioning

confidence: 98%

Understanding Older Adults’ Perceptions of Internet Use: An Exploratory Factor Analysis

Zheng

Spears

Luptak

et al. 2015

Educational Gerontology

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The current study examined factors related to older adults' perceptions of Internet use. Three hundred ninety five older adults participated in the study. The factor analysis revealed four factors perceived by older adults as critical to their Internet use: social connection, self-efficacy, the need to seek financial information, and the need to seek health information. Key differences were found between previous research and the factors extracted in this study. The regression analysis demonstrated that variables like health condition, financial status, computer experience, and life satisfaction significantly predict, at various levels, factors perceived by the older adults to affect Internet use. The significance of the study as well as its implications for research and practice are discussed. Suggestions are made for future research and practice.

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Defining and Influencing Financial Capability

Vlaev¹,

Elliott²

2017

Economic Psychology

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Who is and who is not willing to use online employer‐provided retirement investment advice

Cited by 5 publications

References 14 publications

Older adults’ self-efficacy in computer use and the factors that impact their self-efficacy: a path analysis

Older adults’ self-efficacy in computer use and the factors that impact their self-efficacy: a path analysis

Understanding Older Adults’ Perceptions of Internet Use: An Exploratory Factor Analysis

Defining and Influencing Financial Capability

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