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The role of internet self-efficacy, innovativeness and technology avoidance in breadth of internet use: Comparing older technology experts and non-experts
Computers in Human Behavior ( IF 9.0 ) Pub Date : 2020-10-01 , DOI: 10.1016/j.chb.2020.106408
Mario R. Jokisch , Laura I. Schmidt , Michael Doh , Markus Marquard , Hans-Werner Wahl

Abstract Older adults show pronounced interindividual differences in terms of their technology adoption, experiences and resources. To better understand this heterogeneity, we compared older technology experts and non-experts. We focused on General Internet self-efficacy (GISE) and Communication related Internet self-efficacy (CISE). Further, we considered innovativeness and technology avoidance as variables able to predict GISE and CISE, which we assumed to be related to two different areas of Internet use (informational, communication and instrumental). Samples included 131 older technology experts engaged as volunteer coaches in government-supported technology projects (age: M = 68 years; range = 50–88 years; 33% female) and 239 older adults with no technology expertise (age: M = 72 years; range = 57–87 years; 61% female). All subjects completed a paper-pencil or online questionnaire containing established measures of study constructs. Multigroup structural equation models revealed that innovativeness was an important predictor of GISE and CISE in both groups, whereas technology avoidance was related only to GISE in the expert group. Further, higher GISE was more strongly linked to informational Internet activities in non-experts than in experts, while CISE was related to communication and instrumental Internet activities in both groups. Findings support our expectation that conceptually distinct Internet relevant constructs play a differential role depending on expert status of older technology users.

中文翻译:

互联网自我效能感、创新性和技术回避在互联网使用广度中的作用:比较老技术专家和非专家

摘要 老年人在技术采用、经验和资源方面表现出明显的个体差异。为了更好地理解这种异质性,我们比较了老技术专家和非专家。我们专注于一般互联网自我效能感(GISE)和与通信相关的互联网自我效能感(CISE)。此外,我们将创新和技术回避视为能够预测 GISE 和 CISE 的变量,我们假设它们与互联网使用的两个不同领域(信息、通信和工具)有关。样本包括在政府支持的技术项目中担任志愿教练的 131 名老年技术专家(年龄:M = 68 岁;范围 = 50-88 岁;33% 为女性)和 239 名没有技术专业知识的老年人(年龄:M = 72 岁) ;范围 = 57–87 岁;61% 是女性)。所有受试者都完成了纸笔或在线问卷,其中包含已建立的研究结构测量。多组结构方程模型显示,创新性是两组中 GISE 和 CISE 的重要预测因子,而技术回避仅与专家组中的 GISE 相关。此外,与专家相比,较高的 GISE 与非专家的信息互联网活动相关性更强,而 CISE 与两组的通信和工具互联网活动相关。调查结果支持我们的预期,即概念上不同的互联网相关结构会根据老年技术用户的专家身份发挥不同的作用。多组结构方程模型显示,创新性是两组中 GISE 和 CISE 的重要预测因子,而技术回避仅与专家组中的 GISE 相关。此外,与专家相比,较高的 GISE 与非专家的信息互联网活动相关性更强,而 CISE 与两组的通信和工具互联网活动相关。调查结果支持我们的预期,即概念上不同的互联网相关结构会根据老年技术用户的专家身份发挥不同的作用。多组结构方程模型显示,创新性是两组中 GISE 和 CISE 的重要预测因子,而技术回避仅与专家组中的 GISE 相关。此外,与专家相比,较高的 GISE 与非专家的信息互联网活动相关性更强,而 CISE 与两组的通信和工具互联网活动相关。调查结果支持我们的预期,即概念上不同的互联网相关结构会根据老年技术用户的专家身份发挥不同的作用。而 CISE 与两组的交流和工具性互联网活动有关。调查结果支持我们的预期,即概念上不同的互联网相关结构会根据老年技术用户的专家身份发挥不同的作用。而 CISE 与两组的交流和工具性互联网活动有关。调查结果支持我们的预期,即概念上不同的互联网相关结构会根据老年技术用户的专家身份发挥不同的作用。
更新日期:2020-10-01
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