Business intelligence appraisal based on customerbehaviour profile by using hobby based opinionmining in India: a case study

G Bai, Vidya and Suhan, Suhan and Rao Nethravathia,, Periyapatna Sathyanarayana and Spulbarc, Cristi and Birau, Ramona and Calugaru, Toni and Hawaldarf, Iqbal Thons and Ejaz, Abdullah (2020) Business intelligence appraisal based on customerbehaviour profile by using hobby based opinionmining in India: a case study. Ekonomska Istrazivanja, 33 (1). pp. 1-21. ISSN 1331677X

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Abstract

ABSTRACT 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. ARTICLE HISTORY Received 17 December 2019 Accepted 28 April 2020 KEYWORDS Customer business intelligence; consumer behaviour; multiple regression opinion analysis; hobby; genetic algorithm; economic sustainability SUBJECT CLASSIFICATION CODES C10; D11; M21 1.

Item Type: Article
Uncontrolled Keywords: Business intelligence, opinion mining
Subjects: Departments at MU > Commerce
Depositing User: department of Commerce
Date Deposited: 01 Jan 2021 05:53
Last Modified: 01 Jan 2021 05:53
URI: http://eprints.manipal.edu/id/eprint/156187

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