کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1021927 941304 2014 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Predictors of gerontechnology acceptance by older Hong Kong Chinese
ترجمه فارسی عنوان
پیش بینی های پذیرفته شده توسط فن آوری های قدیمی هنگ کنگ چینی
موضوعات مرتبط
علوم انسانی و اجتماعی مدیریت، کسب و کار و حسابداری کسب و کار و مدیریت بین المللی
چکیده انگلیسی


• In addition to the originality of this study in focusing on older Chinese people, the study goes further than previous studies by targeting a variety of types of gerontechnology.
• Significant effects for perceived usefulness, perceived ease of use, and attitude towards using on usage behavior were not found in this study.
• Personal attributes like technology self-efficacy and anxiety, and facilitating conditions were more decisive than perceived benefits for predicting gerontechnology usage behavior of Hong Kong older Chinese.

The aim of this study was to examine the factors which influence the acceptance of gerontechnology by older Hong Kong Chinese. A research model based on the technology acceptance model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT) was proposed. It was empirically tested by using survey data collected from 1012 seniors aged 55 and over in Hong Kong. A face to face interview technique with a preset questionnaire was employed to collect data and Structural Equation Modeling (SEM) was used for data analysis. The proposed model could explain 55.4% of the variance in actual usage of gerontechnology. However, in contrast to TAM and UTAUT, significant effects for perceived usefulness, perceived ease of use, and attitude towards using on usage behavior were not found in this study. Personal attributes like technology self-efficacy and anxiety, and facilitating conditions were more decisive than perceived benefits for predicting gerontechnology usage behavior of Hong Kong older Chinese. The managerial implications generated from the results are discussed.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Technovation - Volume 34, Issue 2, February 2014, Pages 126–135
نویسندگان
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