TY - JOUR
T1 - A 2020 Perspective on “From Buzz to Bucks: The Impact of Social Media Opinions on the Locus of Innovation”
T2 - From Surfaces to Essences
AU - Zhang, Wenping
AU - Kang, Lele
AU - Jiang, Qiqi
AU - Pei, Lei
N1 - Published online: 28. February 2020
PY - 2020
Y1 - 2020
N2 - Social media is believed as a privileged vehicle affording numerous ideas with multi-faceted insights from the crowds. In addition to the entertainment resource, social media, user-generated content (UGC) there, can also empower ideation and commercialization of innovation. We have proposed a novel approach to explore the pivotal role of social media in shaping corporation innovation performance in our article in 2018. In this commentary, we extend the literature review with more recent insights and identify the new possible directions to further inspire future research. Specifically, understanding the linkage between social media and organization innovation can be enriched via advancing deep learning methods, improving multi-modal data analysis, and fostering digital innovation.
AB - Social media is believed as a privileged vehicle affording numerous ideas with multi-faceted insights from the crowds. In addition to the entertainment resource, social media, user-generated content (UGC) there, can also empower ideation and commercialization of innovation. We have proposed a novel approach to explore the pivotal role of social media in shaping corporation innovation performance in our article in 2018. In this commentary, we extend the literature review with more recent insights and identify the new possible directions to further inspire future research. Specifically, understanding the linkage between social media and organization innovation can be enriched via advancing deep learning methods, improving multi-modal data analysis, and fostering digital innovation.
KW - Social media
KW - Organization innovation
KW - Machine learning
KW - Text mining
KW - Empirical Analysis
KW - Social media
KW - Organization innovation
KW - Machine learning
KW - Text mining
KW - Empirical Analysis
UR - https://sfx-45cbs.hosted.exlibrisgroup.com/45cbs?url_ver=Z39.88-2004&url_ctx_fmt=info:ofi/fmt:kev:mtx:ctx&ctx_enc=info:ofi/enc:UTF-8&ctx_ver=Z39.88-2004&rfr_id=info:sid/sfxit.com:azlist&sfx.ignore_date_threshold=1&rft.object_id=111030117704000
U2 - 10.1016/j.elerap.2020.100964
DO - 10.1016/j.elerap.2020.100964
M3 - Comment/debate
VL - 40
JO - Electronic Commerce Research and Applications
JF - Electronic Commerce Research and Applications
SN - 1567-4223
IS - March–April
M1 - 100964
ER -