The Disruptometer: An Artificial Intelligence Algorithm for Market Insights
| Main Authors: | Nordin, Mimi Aminah binti Wan; International Islamic University Malaysia, Vedenyapin, Dmitry; International Islamic University Malaysia, Alghifari, Muhammad Fahreza; International Islamic University Malaysia, Gunawan, Teddy Surya; International Islamic University Malaysia |
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| Format: | Article info eJournal |
| Terbitan: |
Institute of Advanced Engineering and Science
, 2019
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| Online Access: |
http://journal.portalgaruda.org/index.php/EEI/article/view/1494 |
Daftar Isi:
- Social media data mining is developing to be a mainstream tool for marketing insights in today’s world, due to the abundance of data and often freely accessed information. In this paper, we propose a framework for market research purposes called the Disruptometer. The algorithm uses keywords to provide different types of market insights from data crawling. The preliminary algorithm data-mines information from Twitter and outputs 2 parameters – Product-to-Market Fit and Disruption Quotient, which is obtained from a brand’s customer value proposition, problem space, and incumbent space. The algorithm has been tested with a venture capitalist portfolio company and market research firm to show high correlated results. Out of 4 brand use cases, 3 obtained identical results with the analysts ‘studies.