| dc.contributor | 資管系 | |
| dc.creator (作者) | 林怡伶 | |
| dc.creator (作者) | Lin, Yee-Lin | |
| dc.creator (作者) | Liang, Ting-Peng;Shiau, Wen-Lung;Chen, Sih-Fan | |
| dc.date (日期) | 2021-11 | |
| dc.date.accessioned | 23-Jun-2022 09:51:30 (UTC+8) | - |
| dc.date.available | 23-Jun-2022 09:51:30 (UTC+8) | - |
| dc.date.issued (上傳時間) | 23-Jun-2022 09:51:30 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/140350 | - |
| dc.description.abstract (摘要) | Flow experience is a critical lens for investigating the role of website design on consumer satisfaction in online shopping. Since flow is a latent variable that cannot be directly observed, most studies use a questionnaire survey with self-reported data as the predominant method of data gathering. Although many researchers believe that the self-reported approach as a sole measurement method is subject to common method bias (CMB), scholars have different interpretations of this effect. This study designed an experiment with flow experience as a mediator to investigate the relationship between website quality and user satisfaction from a behavioral survey and an electroencephalography (EEG)-based neuroscience method. By adopting Harman`s one-factor test and the marker variable technique, the results indicate that the EEG neuroscience method reduces CMB and CMB is not an important issue when considering EEG results. | |
| dc.format.extent | 92 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.relation (關聯) | Journal of Electronic Commerce Research, 22(4), 305-321 | |
| dc.subject (關鍵詞) | website design; flow theory; Neural information systems; Common method bias; Marker variable technique | |
| dc.title (題名) | Investigating common method bias via an EEG study of the flow experience in website design | |
| dc.type (資料類型) | article | |
| dc.identifier.doi (DOI) | 10.1312/j.fgs.2021.113683 | |
| dc.doi.uri (DOI) | https://doi.org/10.1312/j.fgs.2021.113683 | |
