Izvorni znanstveni članak
https://doi.org/10.1080/1331677X.2020.1763822
Business intelligence appraisal based on customer behaviour profile by using hobby based opinion mining in India: a case study
Periyapatna Sathyanarayana Rao Nethravathi,
Gokarna Vidya Bai
Cristi Spulbar
Mendon Suhan
Ramona Birau
Toni Calugaru
Iqbal Thonse Hawaldar
Abdullah Ejaz
Sažetak
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.
Ključne riječi
Customer business intelligence; consumer behaviour; multiple regression opinion analysis; hobby; genetic algorithm; economic sustainability
Hrčak ID:
254512
URI
Datum izdavanja:
9.2.2021.
Posjeta: 1.363 *