TY - JOUR
T1 - Harnessing the Power of the General Public for Crowdsourced Business Intelligence
T2 - A Survey
AU - Guo, Bin
AU - Liu, Yan
AU - Ouyang, Yi
AU - Zheng, Vincent W.
AU - Zhang, Daqing
AU - Yu, Zhiwen
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2019
Y1 - 2019
N2 - Crowdsourced business intelligence (CrowdBI), which leverages the crowdsourced user-generated data to extract useful knowledge about business and create marketing intelligence to excel in the business environment, has become a surging research topic in recent years. Compared with the traditional business intelligence that is based on the firm-owned data and survey data, CrowdBI faces numerous unique issues, such as customer behavior analysis, brand tracking, and product improvement, demand forecasting and trend analysis, competitive intelligence, business popularity analysis and site recommendation, and urban commercial analysis. This paper first characterizes the concept model and unique features and presents a generic framework for CrowdBI. It also investigates novel application areas as well as the key challenges and techniques of CrowdBI. Furthermore, we make discussions about the future research directions of CrowdBI.
AB - Crowdsourced business intelligence (CrowdBI), which leverages the crowdsourced user-generated data to extract useful knowledge about business and create marketing intelligence to excel in the business environment, has become a surging research topic in recent years. Compared with the traditional business intelligence that is based on the firm-owned data and survey data, CrowdBI faces numerous unique issues, such as customer behavior analysis, brand tracking, and product improvement, demand forecasting and trend analysis, competitive intelligence, business popularity analysis and site recommendation, and urban commercial analysis. This paper first characterizes the concept model and unique features and presents a generic framework for CrowdBI. It also investigates novel application areas as well as the key challenges and techniques of CrowdBI. Furthermore, we make discussions about the future research directions of CrowdBI.
KW - brand trending
KW - commercial site recommendation
KW - competitive intelligence
KW - consumer behaviors
KW - crowd intelligence
KW - Crowdsourced business intelligence
UR - http://www.scopus.com/inward/record.url?scp=85062977770&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2019.2901027
DO - 10.1109/ACCESS.2019.2901027
M3 - 文章
AN - SCOPUS:85062977770
SN - 2169-3536
VL - 7
SP - 26606
EP - 26630
JO - IEEE Access
JF - IEEE Access
M1 - 8649614
ER -
