The disruptometer: an artificial intelligence algorithm for market insights

Wan Nordin, Mimi Aminah and Vedenyapin, Dmitry and Alghifari, Muhammad Fahreza and Gunawan, Teddy Surya (2019) The disruptometer: an artificial intelligence algorithm for market insights. Bulletin of Electrical Engineering and Informatics, 8 (2). pp. 727-734. ISSN 2302-9285 E-ISSN 2302-9285

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Abstract

Social media data mining is rapidly 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.

Item Type:	Article (Journal)
Additional Information:	5393/73880
Uncontrolled Keywords:	Artificial intelligence, market research, social media data mining, Twitter
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Prof. Dr. Teddy Surya Gunawan
Date Deposited:	08 Aug 2019 16:08
Last Modified:	24 Nov 2019 20:01
URI:	http://irep.iium.edu.my/id/eprint/73880

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