Mining competitive intelligence from social media: A case study of IBM

Yuan Xue, Yilu Zhou, Subhasish Dasgupta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Competitive Intelligence (CI) refers to the practice of studying competitors and competitive environments in aid of firms' strategic decision making processes. Currently, CI is usually studied using business profile information and reports edited by CI professionals. The disadvantage of these methods is that they are prohibitively labor-intensive, produce incomplete results, and are subjective. The current CI trend is to collect competitor information from online data. Most of these studies base their analysis on a single news source. This lacks comprehensiveness because it only offers a narrow perspective on competitor information. In order to address these limitations, we propose an innovative framework to study competitors as well as the strengths and weaknesses of the firm from social media data using text mining techniques including information extraction and sentiment analysis.

Original languageEnglish (US)
Title of host publicationProceedings of the 22nd Pacific Asia Conference on Information Systems - Opportunities and Challenges for the Digitized Society
Subtitle of host publicationAre We Ready?, PACIS 2018
EditorsMotonari Tanabu, Dai Senoo
PublisherAssociation for Information Systems
ISBN (Electronic)9784902590838
StatePublished - 2018
Event22nd Pacific Asia Conference on Information Systems - Opportunities and Challenges for the Digitized Society: Are We Ready?, PACIS 2018 - Yokohama, Japan
Duration: Jun 26 2018Jun 30 2018

Publication series

NameProceedings of the 22nd Pacific Asia Conference on Information Systems - Opportunities and Challenges for the Digitized Society: Are We Ready?, PACIS 2018

Conference

Conference22nd Pacific Asia Conference on Information Systems - Opportunities and Challenges for the Digitized Society: Are We Ready?, PACIS 2018
CountryJapan
CityYokohama
Period6/26/186/30/18

All Science Journal Classification (ASJC) codes

  • Information Systems

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