Measuring SNS Happiness:Instrument Development and Validation
博士 === 國立臺灣大學 === 資訊管理學研究所 === 104 === Well-being or happiness has rarely been used to discuss the post-adoption behavior of information technology users. Currently, satisfaction is the primary predictor of user behavior in IT post-adoption research. We live in an age when social media, mobile devic...
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ndltd-TW-104NTU053960402017-05-07T04:26:43Z http://ndltd.ncl.edu.tw/handle/30397285184405581094 Measuring SNS Happiness:Instrument Development and Validation 衡量社群網站之幸福感:量表發展與驗證 Michael Yu-Ching Lin 林育慶 博士 國立臺灣大學 資訊管理學研究所 104 Well-being or happiness has rarely been used to discuss the post-adoption behavior of information technology users. Currently, satisfaction is the primary predictor of user behavior in IT post-adoption research. We live in an age when social media, mobile devices, the Internet, and other information technologies have virtually fused with our lifestyles. In discussing post-adoption behavior, focusing only on satisfaction might no longer be satisfactory. We should consider other constructs that might capture additional post-adoption factors, such as the concept of affect. Some researchers have begun to study well-being and confirmed its significance in SNS post-adoption behavior (Ong and Lin, 2015). This study propose to continue the exploration of SNS post-adoption behavior through the new perspective of looking at the influence of the user''s happiness. With limited literatures in this area, happiness in SNS is further examined by using mixed-method including qualitative and quantitative approaches to explore the domain of happiness in SNS usage and to develop a scale for its measurement. The result of qualitative approach using grounded theory technique revealed 10 dimensions for SNS happiness. After two round of data collections and evaluation, a SNS happiness scale consisting of 15 items was developed, refined, and validated. Chorng-Shyong Ong 翁崇雄 2016 學位論文 ; thesis 67 en_US |
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博士 === 國立臺灣大學 === 資訊管理學研究所 === 104 === Well-being or happiness has rarely been used to discuss the post-adoption behavior of information technology users. Currently, satisfaction is the primary predictor of user behavior in IT post-adoption research. We live in an age when social media, mobile devices, the Internet, and other information technologies have virtually fused with our lifestyles. In discussing post-adoption behavior, focusing only on satisfaction might no longer be satisfactory. We should consider other constructs that might capture additional post-adoption factors, such as the concept of affect. Some researchers have begun to study well-being and confirmed its significance in SNS post-adoption behavior (Ong and Lin, 2015). This study propose to continue the exploration of SNS post-adoption behavior through the new perspective of looking at the influence of the user''s happiness. With limited literatures in this area, happiness in SNS is further examined by using mixed-method including qualitative and quantitative approaches to explore the domain of happiness in SNS usage and to develop a scale for its measurement. The result of qualitative approach using grounded theory technique revealed 10 dimensions for SNS happiness. After two round of data collections and evaluation, a SNS happiness scale consisting of 15 items was developed, refined, and validated.
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Chorng-Shyong Ong |
author_facet |
Chorng-Shyong Ong Michael Yu-Ching Lin 林育慶 |
author |
Michael Yu-Ching Lin 林育慶 |
spellingShingle |
Michael Yu-Ching Lin 林育慶 Measuring SNS Happiness:Instrument Development and Validation |
author_sort |
Michael Yu-Ching Lin |
title |
Measuring SNS Happiness:Instrument Development and Validation |
title_short |
Measuring SNS Happiness:Instrument Development and Validation |
title_full |
Measuring SNS Happiness:Instrument Development and Validation |
title_fullStr |
Measuring SNS Happiness:Instrument Development and Validation |
title_full_unstemmed |
Measuring SNS Happiness:Instrument Development and Validation |
title_sort |
measuring sns happiness:instrument development and validation |
publishDate |
2016 |
url |
http://ndltd.ncl.edu.tw/handle/30397285184405581094 |
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