Start Date
11-8-2016
Description
With the recent advances in the development of Information and Communication Technologies (ICTs), a lot of small businesses and micro-enterprises achieve their business goals and reach economic development. While Competitive Intelligence (CI) is the practice of studying competitors and competitive environment, its purpose is to provide actionable intelligence for informative organizational decision making. In this study, we propose a social media analytics approach to understand the CI of the small businesses and micro-enterprises. Three research questions are proposed to further guide the future research. Based on Chen (1996)’s framework, case study will be conducted from micro-enterprises. The work contributes to the CI body of knowledge by introducing advanced text mining techniques and social mediate data into CI analysis in the context of small businesses. Evaluation experiment will be conducted in the future.
Recommended Citation
Xue, Yuan and Xiong, Jie, "Competitive Intelligence Practices in Small Business: a Social Media Analytics Approach" (2016). AMCIS 2016 Proceedings. 16.
https://aisel.aisnet.org/amcis2016/ICTs/Presentations/16
Competitive Intelligence Practices in Small Business: a Social Media Analytics Approach
With the recent advances in the development of Information and Communication Technologies (ICTs), a lot of small businesses and micro-enterprises achieve their business goals and reach economic development. While Competitive Intelligence (CI) is the practice of studying competitors and competitive environment, its purpose is to provide actionable intelligence for informative organizational decision making. In this study, we propose a social media analytics approach to understand the CI of the small businesses and micro-enterprises. Three research questions are proposed to further guide the future research. Based on Chen (1996)’s framework, case study will be conducted from micro-enterprises. The work contributes to the CI body of knowledge by introducing advanced text mining techniques and social mediate data into CI analysis in the context of small businesses. Evaluation experiment will be conducted in the future.