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Comparison of affective perception of bitcoin between Korea and China
Jung S.a, Park J.a, Wang L.a, Widyanti A.b
a Department of Industrial and Management Engineering, Incheon National University, Incheon, 22012, South Korea
b Department of Industrial Engineering, Bandung Institute of Technology, Bandung, 40132, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2019, ICIC International. All rights reserved.In this study, we compare and analyze Bitcoin’s affect recognition in Korea and China, with respect to time lapse and gender, through visualization of the network analysis. Many studies on Bitcoin are currently underway. However, the comparative analyses of Bitcoin’s affect recognition by country with respect to differences such as time lapse and gender are insufficient. Therefore, in this study, we collected people’s usage patterns, experiences, reminders, and reasons for using Bitcoin. For comparison by country, in 2015, 34 Korean and 30 Chinese people were surveyed, and in 2018, 40 Koreans and 37 Chinese people were studied. Surveys were undertaken with the same contents and in the native language of each country. The collected vocabularies were then further refined using the semantic network analysis. Through this vocabulary, the study confirms and analyzes differences due to time lapse and gender. The results of this study are expected to be used as basic data for related research on Bitcoin, a virtual currency that is attracting attention for its future value.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Affect,Bitcoin,Gender differences,Semantic network analysis,Time lapse,Virtual currency[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.24507/icicel.13.03.231[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]