A computational framework for social-media-based business analytics and knowledge creation: empirical studies of CyTraSS

doi:10.1080/17517575.2020.1827299

CORC > 自动化研究所 > 中国科学院自动化研究所 > 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

	A computational framework for social-media-based business analytics and knowledge creation: empirical studies of CyTraSS
	Chung, Wingyan 2,3; Mustaine, Elizabeth 4; Zeng, Daniel 1,5
刊名	ENTERPRISE INFORMATION SYSTEMS
	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.
资助项目	Jay Kneedler Distinguished Professorship in Computer Information Systems[611077] ; WCU-HKU Academic Partnership ; UCF In-House Research Program[1060766]
WOS关键词	MANAGEMENT ; TRAFFICKING ; NETWORKS
WOS研究方向	Computer Science
语种	英语
出版者	TAYLOR & FRANCIS LTD
WOS记录号	WOS:000584768800001
资助机构	Jay Kneedler Distinguished Professorship in Computer Information Systems ; WCU-HKU Academic Partnership ; UCF In-House Research Program
内容类型	期刊论文
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.Univ Arizona, Dept Management Informat Syst, Tucson, AZ 85721 USA 2.Western Carolina Univ, Coll Business, Cullowhee, NC 28723 USA 3.Univ Hong Kong, Dept Comp Sci, Pokfulam, Hong Kong, Peoples R China 4.Univ Cent Florida, Dept Sociol, Orlando, FL 32816 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.