STUDY ON CONSUMPTION OF SOFT DRINKS BASED ON ANALYTICAL PARAMETERS IN INDIAN MARKET
Abstract
The main goal of this work is to study and analysis the behavior towards cold drink products in Indian market. The study area of our survey is mainly in Haryana & Punjab region. It mainly works on analytical study on consumption of soft drinks. This analysis is based on gender and marital status. It prefers questionnaire based study for finding the results. In this survey, it prepares 25 questionnaires and get response from 310 respondents. In this survey 185 male and 125 female respondents are participated and also all age group respondents are involved in this survey. The results are presented in terms of gender based analysis and marital status wise results. All results are found by SPSS tool.
Keyword : Consumer Behavior, Soft Drinks, Coca-cola Products, Data Analysis, North India etc.
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
[1]. W. Zilin, and Z. Nan, “Simulation of Consumer Purchase Behaviour Based on Computational Experiments,” International Conference on Intelligent Transportation, PP.365-368, 2019. [2]. M. Guermandi and S. Benatti, “Towards a Wearable Interface for Food Quality Grading through ERP Analysis,” IEEE, 2019. [3]. M. Menegoli and A. Corallo, “A Business Process Modelling Approach for Supporting Traceability in Food Industry,” International Conference on Industrial Technology and Management, PP.265-269, 2019. [4]. W. Khan and Y Aalsalem, “Five Acts of Consumer Behaviour: A Potential Security and Privacy Threat to Internet of Things,” IEEE International Conference on Consumer Electronics, 2018. [5]. J. Esteban and B. Curto and V. Moreno, “A Cloud Platform for Food Sensory Estimations Based on Artificial Intelligence Techniques,” IEEE, 2018. [6]. H. Fidan and A. Teneva, “Consumers Behavior of Restaurant Selection,” European Union, 2018. [7]. R. Destari and L. Wahyuni, “Improvement Accuracy of Instant Noodle Product Selection Using Method ANP,” International Conference on Cyber and IT Service Management. 2018. [8]. F. Ariyanti and S. Hadita, “Food Safety Knowledge and Practices on Food Virtual Shop,” International Conference on Science in Information Technology, PP.396-400. 2017. [9]. G. Stevens and P. Bossauer, “Using Shopping Data to Design Sustainable Consumer Apps,” IEEE, 2017. [10]. E. Camilleri and S. Miah, “A Consumer Analytics Framework for enabling Data Driven Marketing Intervention Methods,” Asia Pacific World Congress on Computer Science & Engineering, 2017.