an article by Barbara Schehl and Joerg Leukel (University of Hohenheim, Stuttgart, Germany) and Vijayan Sugumaran (Oakland University, Rochester, MI, USA) published in Computers in Human Behavior Volume 97 (August 2019)
Abstract
Internet use is becoming increasingly important for the daily lives of older adults. Simultaneously, the range of online activities is also broadening. However, previous research in technology adoption mainly focuses on Internet use in general, and only few studies pay attention to various online activities that older adults engage in.
Exploration of factors explaining specific online activities is still limited.
To bridge this gap, we examined the role of socio-demographic characteristics and perceived behavioral control (PBC) in predicting informational, social, and instrumental online activities in a sample of 1222 participants (age 65+). Our results show that those who were younger, with higher education, and with higher PBC were more likely to perform all online activities, while men had higher odds than women of performing informational and instrumental but not social online activities.
Cultural participation was a positive predictor for all online activities except online banking.
For informational online activities, the effect of PBC was moderated such that it was weaker for those with higher education.
Based on our empirical results, we contribute to the literature a nuanced understanding of older adults’ Internet use.
Showing posts with label online_activities. Show all posts
Showing posts with label online_activities. Show all posts
Thursday, 12 September 2019
Wednesday, 29 February 2012
An analysis of the information behaviors, goals, and intentions of frequent Internet users: Findings from online activity diaries
an article by Beth St. Jean (University of Maryland), Soo Young Rieh and Ji Yeon Yang (University of Michigan) and Yong-Mi Kim (Duke University) published in First Monday Volume 17 Number 2 (February 2012)
Abstract
Using a method that combines the Experience Sampling Method (Kubey, et al., 1996) and the diary survey method, we surveyed frequent internet users about their online activities, along with their interest, confidence, and satisfaction in regard to these activities. A link to an online survey was sent to respondents five times a day for three consecutive days. The results reported here are based on 2,656 diary forms submitted by 417 respondents. Through inductive analysis of respondents’ open-ended accounts of their activities, we identified four information activity dimensions – information object, information behaviour, goal, and intention.
The results reveal that younger respondents were more likely than older respondents to mention that they engage in online activities with the intention of sharing or evaluating information, while older respondents more frequently mentioned the intentions of gathering data and keeping up to date.
Respondents reported spending more time on traditional types of online activities (such as reading) and were more confident in their ability to conduct these types of activities. However, they also reported spending considerable amounts of time on more participatory types of activities, such as creating content and commenting on content. Furthermore, they often rated their interest and satisfaction levels higher when their goals and intentions for their activities were more social in nature and thus more characteristic of Web 2.0 activities, such as connecting with people, self-expression, and sharing.
Respondents’ goals and intentions for their activities, as well as their interest, confidence, and satisfaction with various types of online activities, along with the relative amount of time they spent on various types of online activities and the locations from which they conducted these activities, all proved to be important factors to consider when attempting to reach a better understanding of people’s online activities. The contribution of this study lies in the unique data collection and analysis methods that we used in order to reach a better understanding of their online activities across multiple information activity dimensions.
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Abstract
Using a method that combines the Experience Sampling Method (Kubey, et al., 1996) and the diary survey method, we surveyed frequent internet users about their online activities, along with their interest, confidence, and satisfaction in regard to these activities. A link to an online survey was sent to respondents five times a day for three consecutive days. The results reported here are based on 2,656 diary forms submitted by 417 respondents. Through inductive analysis of respondents’ open-ended accounts of their activities, we identified four information activity dimensions – information object, information behaviour, goal, and intention.
The results reveal that younger respondents were more likely than older respondents to mention that they engage in online activities with the intention of sharing or evaluating information, while older respondents more frequently mentioned the intentions of gathering data and keeping up to date.
Respondents reported spending more time on traditional types of online activities (such as reading) and were more confident in their ability to conduct these types of activities. However, they also reported spending considerable amounts of time on more participatory types of activities, such as creating content and commenting on content. Furthermore, they often rated their interest and satisfaction levels higher when their goals and intentions for their activities were more social in nature and thus more characteristic of Web 2.0 activities, such as connecting with people, self-expression, and sharing.
Respondents’ goals and intentions for their activities, as well as their interest, confidence, and satisfaction with various types of online activities, along with the relative amount of time they spent on various types of online activities and the locations from which they conducted these activities, all proved to be important factors to consider when attempting to reach a better understanding of people’s online activities. The contribution of this study lies in the unique data collection and analysis methods that we used in order to reach a better understanding of their online activities across multiple information activity dimensions.
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