Abstract
The social commerce has received considerable attentions in both academia and practitioners in last decade. However, most of current studies investigated such topic from consumers’ psychological impetus, but lack of the objective evidence. In this work, we employed the clickstream data analysis to depict online consumers’ cross-site browsing behaviors in the context of social commerce. Four prominent clusters depicting distinctive consumers’ online browsing behaviors are found. Additionally, the consumers’ online behaviors characterized by the browsing patterns are also unveiled and discussed.
Original language | English |
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Title of host publication | HCI in Business, Government, and Organizations : eCommerce and Innovation. Proceedings, Part I |
Editors | Fiona Fui-Hoon Nah, Chuan-Hoo Tan |
Number of pages | 9 |
Place of Publication | Cham |
Publisher | Springer |
Publication date | 2016 |
Pages | 189-197 |
ISBN (Print) | 9783319393957 |
ISBN (Electronic) | 9783319393964 |
DOIs | |
Publication status | Published - 2016 |
Externally published | Yes |
Event | The 18th International Conference on Human-Computer Interaction: HCI International 2016 - The Westin Harbour Castle Hotel, Toronto, Canada Duration: 17 Jul 2016 → 22 Jul 2016 Conference number: 18 http://2016.hci.international/ |
Conference
Conference | The 18th International Conference on Human-Computer Interaction |
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Number | 18 |
Location | The Westin Harbour Castle Hotel |
Country/Territory | Canada |
City | Toronto |
Period | 17/07/2016 → 22/07/2016 |
Other | Affiliated Conference: 3rd International Conference on HCI in Business |
Internet address |
Series | Lecture Notes in Computer Science |
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Volume | 9751 LNCS |
ISSN | 0302-9743 |
Keywords
- Social commerce
- Clickstream data
- Cluster analysis