Business intelligence appraisal based on customer behaviour profile by using hobby based opinion mining in India: a case study
This research study contributes towards understanding the customer's behaviour dynamics. In business analysis, it is very important not to ignore the fact that the interaction between human beings implicitly includes an emotional dimension. The research methodology includes the following: (1) c...
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| Veröffentlicht in: | Economic research - Ekonomska istraživanja 2020-01, Vol.33 (1), p.1889-1908 |
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| container_title | Economic research - Ekonomska istraživanja |
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| creator | Nethravathi, Periyapatna Sathyanarayana Rao Bai, Gokarna Vidya Spulbar, Cristi Suhan, Mendon Birau, Ramona Calugaru, Toni Hawaldar, Iqbal Thonse Ejaz, Abdullah |
| description | This research study contributes towards understanding the customer's behaviour dynamics. In business analysis, it is very important not to ignore the fact that the interaction between human beings implicitly includes an emotional dimension. The research methodology includes the following: (1) customer purchase pattern prediction methods based on correlation; (2) augmentation of data set by using genetic algorithms; and (3) multiple regression models. The analysis indicates how the hobby of a customer is directly related to the purchase patterns and satisfaction level. We applied business intelligence (BI) techniques and concluded that, by using multiple regression method is possible to evaluate the level of customer satisfaction up to the upper limit of security of about 90%. BI tools could be used to employ significant achievements in specific fields based on open innovations. This paper aims at providing further practical guidance in this innovative research field by using a mix of interdisciplinary methods and techniques. |
| doi_str_mv | 10.1080/1331677X.2020.1763822 |
| format | Article |
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In business analysis, it is very important not to ignore the fact that the interaction between human beings implicitly includes an emotional dimension. The research methodology includes the following: (1) customer purchase pattern prediction methods based on correlation; (2) augmentation of data set by using genetic algorithms; and (3) multiple regression models. The analysis indicates how the hobby of a customer is directly related to the purchase patterns and satisfaction level. We applied business intelligence (BI) techniques and concluded that, by using multiple regression method is possible to evaluate the level of customer satisfaction up to the upper limit of security of about 90%. BI tools could be used to employ significant achievements in specific fields based on open innovations. This paper aims at providing further practical guidance in this innovative research field by using a mix of interdisciplinary methods and techniques.</description><identifier>ISSN: 1331-677X</identifier><identifier>EISSN: 1848-9664</identifier><identifier>DOI: 10.1080/1331677X.2020.1763822</identifier><language>eng</language><publisher>Pula: Routledge</publisher><subject>Business intelligence ; consumer behaviour ; Customer business intelligence ; Customer satisfaction ; economic sustainability ; Economic theory ; genetic algorithm ; hobby ; Innovations ; Intelligence ; Interdisciplinary aspects ; Mining ; multiple regression opinion analysis ; Research methodology</subject><ispartof>Economic research - Ekonomska istraživanja, 2020-01, Vol.33 (1), p.1889-1908</ispartof><rights>2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. 2020</rights><rights>2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c455t-45189d21c47464b9e94a9e891da18091acde364e0f0e004698153cd21696ba1c3</citedby><cites>FETCH-LOGICAL-c455t-45189d21c47464b9e94a9e891da18091acde364e0f0e004698153cd21696ba1c3</cites><orcidid>0000-0003-1638-4291 ; 0000-0001-7181-2493 ; 0000-0002-3909-9496</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.tandfonline.com/doi/pdf/10.1080/1331677X.2020.1763822$$EPDF$$P50$$Ginformaworld$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.tandfonline.com/doi/full/10.1080/1331677X.2020.1763822$$EHTML$$P50$$Ginformaworld$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,27501,27923,27924,59142,59143</link.rule.ids></links><search><creatorcontrib>Nethravathi, Periyapatna Sathyanarayana Rao</creatorcontrib><creatorcontrib>Bai, Gokarna Vidya</creatorcontrib><creatorcontrib>Spulbar, Cristi</creatorcontrib><creatorcontrib>Suhan, Mendon</creatorcontrib><creatorcontrib>Birau, Ramona</creatorcontrib><creatorcontrib>Calugaru, Toni</creatorcontrib><creatorcontrib>Hawaldar, Iqbal Thonse</creatorcontrib><creatorcontrib>Ejaz, Abdullah</creatorcontrib><title>Business intelligence appraisal based on customer behaviour profile by using hobby based opinion mining in India: a case study</title><title>Economic research - Ekonomska istraživanja</title><description>This research study contributes towards understanding the customer's behaviour dynamics. 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In business analysis, it is very important not to ignore the fact that the interaction between human beings implicitly includes an emotional dimension. The research methodology includes the following: (1) customer purchase pattern prediction methods based on correlation; (2) augmentation of data set by using genetic algorithms; and (3) multiple regression models. The analysis indicates how the hobby of a customer is directly related to the purchase patterns and satisfaction level. We applied business intelligence (BI) techniques and concluded that, by using multiple regression method is possible to evaluate the level of customer satisfaction up to the upper limit of security of about 90%. BI tools could be used to employ significant achievements in specific fields based on open innovations. 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| subjects | Business intelligence consumer behaviour Customer business intelligence Customer satisfaction economic sustainability Economic theory genetic algorithm hobby Innovations Intelligence Interdisciplinary aspects Mining multiple regression opinion analysis Research methodology |
| title | Business intelligence appraisal based on customer behaviour profile by using hobby based opinion mining in India: a case study |
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