Obstacles to social networking website use among older adults
01 May 2013-Computers in Human Behavior (Elsevier Science Publishers B. V.)-Vol. 29, Iss: 3, pp 673-680
TL;DR: Regression analyses revealed significant predictors of SNS include perceived usefulness, trust in SNS, and frequency of internet use, while factors of ease of use and social pressures were not significant predictor.
About: This article is published in Computers in Human Behavior.The article was published on 2013-05-01. It has received 264 citations till now. The article focuses on the topics: Technology acceptance model.
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TL;DR: The reciprocal impacts of the COVID-19 crisis and digital inequalities are explored, and a set of multi-layered strategies focusing on actionability that can be implemented at multiple structural levels, ranging from governmental to corporate and community levels are proposed.
593 citations
Cites background from "Obstacles to social networking webs..."
...perspective, focusing on the usefulness and the relative safety of an application is one of the keys to engage older adults to use online interfaces (Braun, 2013)....
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...literate persons to be aware of the difficulties that might be encountered by fellow Internet users and advice to use the apps they are most confident with (Braun, 2013; Beaunoyer and Guitton 2017)....
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TL;DR: A community-centered socio-ecological model is proposed to factor in these dispositional characteristics of ICT adoption in future ICT training programs to reflect the older population's age, education, attitudes, and personalities.
314 citations
Cites background or result from "Obstacles to social networking webs..."
...Studies, including the current study find older adult ICT consumers have age-specific needs, preferences, and predispositions that are distinctive (Braun, 2013; Mayhorn, Stronge, Mclaughlin, & Rogers, 2004; Zickuhr & Madden, 2012)....
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...This latter group poses a personal rationale, often age related for non-use (Braun, 2013; Choi & DiNitto, 2013; Fausett et al., 2013), which acts as a barrier to their receptivity to using ICT in the future....
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...This relationship has been observed in other studies (Braun, 2013)....
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TL;DR: Higher social technology use was associated with better self-rated health, fewer chronic illnesses, higher subjective well-being, and fewer depressive symptoms, and each of the links betweenSocial technology use and physical and psychological health was mediated by reduced loneliness.
Abstract: Technology has the ability to enhance and enrich the lives of older adults by facilitating better interpersonal relationships. However, few studies have directly examined associations between technology use for social reasons and physical and psychological health among older adults. The current study examines the benefits of technology use in 591 older adults from the 2012 wave of the Health and Retirement Study (Mage = 68.18, SD = 10.75; 55.5% female). Social technology use was assessed through five technology-based behaviors (i.e., using e-mail, social networking sites, online video/phone calls, online chatting/instant messaging, using a smartphone). Attitudes toward the usability and benefits of technology use were also assessed. Older adults had generally positive attitudes toward technology. Higher social technology use was associated with better self-rated health, fewer chronic illnesses, higher subjective well-being, and fewer depressive symptoms. Furthermore, each of the links between soc...
289 citations
TL;DR: Evidence of a digital divide is supported and how that divide is evolving from the ideographic perspective of digitally-engaged older adults and for society is supported.
266 citations
TL;DR: In this paper, a theoretical model was developed and tested using Confirmatory Factor Analysis and Structural Equation Modeling with a sample of travel-related OSN users who had at least one year of online travel shopping experience.
238 citations
Cites background from "Obstacles to social networking webs..."
...In other words, users are expected to feel social pressure if others perceive that the OSN is easy and useful (Braun, 2013)....
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References
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01 Jan 1989
TL;DR: Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage.
40,975 citations
TL;DR: In this article, the authors developed and validated new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance.
Abstract: Valid measurement scales for predicting user acceptance of computers are in short supply. Most subjective measures used in practice are unvalidated, and their relationship to system usage is unknown. The present research develops and validates new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance. Definitions of these two variables were used to develop scale items that were pretested for content validity and then tested for reliability and construct validity in two studies involving a total of 152 users and four application programs. The measures were refined and streamlined, resulting in two six-item scales with reliabilities of .98 for usefulness and .94 for ease of use. The scales exhibited hgih convergent, discriminant, and factorial validity. Perceived usefulness was significnatly correlated with both self-reported current usage r = .63, Study 1) and self-predicted future usage r = .85, Study 2). Perceived ease of use was also significantly correlated with current usage r = .45, Study 1) and future usage r = .59, Study 2). In both studies, usefulness had a signficnatly greater correaltion with usage behavior than did ease of use. Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage. Implications are drawn for future research on user acceptance.
40,720 citations
Book•
01 Jun 1975
36,032 citations
TL;DR: In this article, the authors address the ability to predict peoples' computer acceptance from a measure of their intentions, and explain their intentions in terms of their attitudes, subjective norms, perceived usefulness, perceived ease of use, and related variables.
Abstract: Computer systems cannot improve organizational performance if they aren't used. Unfortunately, resistance to end-user systems by managers and professionals is a widespread problem. To better predict, explain, and increase user acceptance, we need to better understand why people accept or reject computers. This research addresses the ability to predict peoples' computer acceptance from a measure of their intentions, and the ability to explain their intentions in terms of their attitudes, subjective norms, perceived usefulness, perceived ease of use, and related variables. In a longitudinal study of 107 users, intentions to use a specific system, measured after a one-hour introduction to the system, were correlated 0.35 with system use 14 weeks later. The intention-usage correlation was 0.63 at the end of this time period. Perceived usefulness strongly influenced peoples' intentions, explaining more than half of the variance in intentions at the end of 14 weeks. Perceived ease of use had a small but significant effect on intentions as well, although this effect subsided over time. Attitudes only partially mediated the effects of these beliefs on intentions. Subjective norms had no effect on intentions. These results suggest the possibility of simple but powerful models of the determinants of user acceptance, with practical value for evaluating systems and guiding managerial interventions aimed at reducing the problem of underutilized computer technology.
21,880 citations
TL;DR: In this paper, the authors developed and tested a theoretical extension of the TAM model that explains perceived usefulness and usage intentions in terms of social influence and cognitive instrumental processes, which was tested using longitudinal data collected regarding four different systems at four organizations (N = 156), two involving voluntary usage and two involving mandatory usage.
Abstract: The present research develops and tests a theoretical extension of the Technology Acceptance Model (TAM) that explains perceived usefulness and usage intentions in terms of social influence and cognitive instrumental processes. The extended model, referred to as TAM2, was tested using longitudinal data collected regarding four different systems at four organizations ( N = 156), two involving voluntary usage and two involving mandatory usage. Model constructs were measured at three points in time at each organization: preimplementation, one month postimplementation, and three months postimplementation. The extended model was strongly supported for all four organizations at all three points of measurement, accounting for 40%--60% of the variance in usefulness perceptions and 34%--52% of the variance in usage intentions. Both social influence processes (subjective norm, voluntariness, and image) and cognitive instrumental processes (job relevance, output quality, result demonstrability, and perceived ease of use) significantly influenced user acceptance. These findings advance theory and contribute to the foundation for future research aimed at improving our understanding of user adoption behavior.
16,513 citations