A computational framework for social-media-based business analytics and knowledge creation: empirical studies of CyTraSS
文献类型：期刊论文
| 作者 | Chung, Wingyan1,2; Mustaine, Elizabeth3; Zeng, Daniel4,5
|
| 刊名 | ENTERPRISE INFORMATION SYSTEMS
 |
| 出版日期 | 2020-10-29 |
| 页码 | 23 |
| 关键词 | Business analytics Business intelligence Emotion analysis knowledge management social media analytics social network analysis |
| ISSN号 | 1751-7575 |
| DOI | 10.1080/17517575.2020.1827299 |
| 通讯作者 | Chung, Wingyan(wingyan@acm.org) |
| 英文摘要 | Social media (SM) platforms greatly facilitate business information sharing, customer relationship building, and client emotion expression. However, managing knowledge acquired from SM messages is challenged by limited human cognitive capability. This paper describes a computational framework for developing intelligent SM-based business analytics and visualization. The research developed a proof-of-concept system named CyTraSS to support intelligent analyses and visualization of 2,318,691 messages posted by 740,070 users who discuss trafficking topics on Twitter. The results demonstrate theoretical insights and practical usability of the framework, enhance understanding of knowledge creation with SM technology, and provide novel findings for business managers and policy makers. |
| WOS关键词 | MANAGEMENT ; TRAFFICKING ; NETWORKS |
| 资助项目 | Jay Kneedler Distinguished Professorship in Computer Information Systems[611077] ; WCU-HKU Academic Partnership ; UCF In-House Research Program[1060766] |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000584768800001 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 资助机构 | Jay Kneedler Distinguished Professorship in Computer Information Systems ; WCU-HKU Academic Partnership ; UCF In-House Research Program |
| 源URL | [http://ir.ia.ac.cn/handle/173211/41742]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_互联网大数据与安全信息学研究中心 |
| 通讯作者 | Chung, Wingyan |
| 作者单位 | 1.Western Carolina Univ, Coll Business, Cullowhee, NC 28723 USA 2.Univ Hong Kong, Dept Comp Sci, Pokfulam, Hong Kong, Peoples R China 3.Univ Cent Florida, Dept Sociol, Orlando, FL 32816 USA 4.Univ Arizona, Dept Management Informat Syst, Tucson, AZ 85721 USA 5.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chung, Wingyan,Mustaine, Elizabeth,Zeng, Daniel. A computational framework for social-media-based business analytics and knowledge creation: empirical studies of CyTraSS[J]. ENTERPRISE INFORMATION SYSTEMS,2020:23. |
| APA | Chung, Wingyan,Mustaine, Elizabeth,&Zeng, Daniel.(2020).A computational framework for social-media-based business analytics and knowledge creation: empirical studies of CyTraSS.ENTERPRISE INFORMATION SYSTEMS,23. |
| MLA | Chung, Wingyan,et al."A computational framework for social-media-based business analytics and knowledge creation: empirical studies of CyTraSS".ENTERPRISE INFORMATION SYSTEMS (2020):23. |
入库方式： OAI收割
来源：自动化研究所
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