The disruptometer: an artificial intelligence algorithm for market insights
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...
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| Format: | Article |
| Language: | English English |
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Universitas Ahmad Dahlan in collaboration with IAES Indonesia Section
2019
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| Online Access: | http://irep.iium.edu.my/73880/ http://irep.iium.edu.my/73880/1/73880_The%20Disruptometer-%20An%20Artificial%20Intelligence.pdf http://irep.iium.edu.my/73880/7/73880_The%20disruptometer-An%20artificial%20intelligence%20algorithm%20for%20market%20insights_Scopus.pdf |
| _version_ | 1848787875588472832 |
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| author | Wan Nordin, Mimi Aminah Vedenyapin, Dmitry Alghifari, Muhammad Fahreza Gunawan, Teddy Surya |
| author_facet | Wan Nordin, Mimi Aminah Vedenyapin, Dmitry Alghifari, Muhammad Fahreza Gunawan, Teddy Surya |
| author_sort | Wan Nordin, Mimi Aminah |
| building | IIUM Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T17:31:53Z |
| format | Article |
| id | iium-73880 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T17:31:53Z |
| publishDate | 2019 |
| publisher | Universitas Ahmad Dahlan in collaboration with IAES Indonesia Section |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-738802019-11-24T12:01:35Z http://irep.iium.edu.my/73880/ The disruptometer: an artificial intelligence algorithm for market insights Wan Nordin, Mimi Aminah Vedenyapin, Dmitry Alghifari, Muhammad Fahreza Gunawan, Teddy Surya TK7885 Computer engineering 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. Universitas Ahmad Dahlan in collaboration with IAES Indonesia Section 2019-09 Article PeerReviewed application/pdf en http://irep.iium.edu.my/73880/1/73880_The%20Disruptometer-%20An%20Artificial%20Intelligence.pdf application/pdf en http://irep.iium.edu.my/73880/7/73880_The%20disruptometer-An%20artificial%20intelligence%20algorithm%20for%20market%20insights_Scopus.pdf 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 http://www.beei.org/index.php/EEI/article/view/1494/1084 10.11591/eei.v8i2.1494 |
| spellingShingle | TK7885 Computer engineering Wan Nordin, Mimi Aminah Vedenyapin, Dmitry Alghifari, Muhammad Fahreza Gunawan, Teddy Surya The disruptometer: an artificial intelligence algorithm for market insights |
| title | The disruptometer: an artificial intelligence algorithm for market insights |
| title_full | The disruptometer: an artificial intelligence algorithm for market insights |
| title_fullStr | The disruptometer: an artificial intelligence algorithm for market insights |
| title_full_unstemmed | The disruptometer: an artificial intelligence algorithm for market insights |
| title_short | The disruptometer: an artificial intelligence algorithm for market insights |
| title_sort | disruptometer: an artificial intelligence algorithm for market insights |
| topic | TK7885 Computer engineering |
| url | http://irep.iium.edu.my/73880/ http://irep.iium.edu.my/73880/ http://irep.iium.edu.my/73880/ http://irep.iium.edu.my/73880/1/73880_The%20Disruptometer-%20An%20Artificial%20Intelligence.pdf http://irep.iium.edu.my/73880/7/73880_The%20disruptometer-An%20artificial%20intelligence%20algorithm%20for%20market%20insights_Scopus.pdf |