Product Designing through Conjoint Analysis and Curve Fitting of Financial Data: A Case of Birla Tyres

Monalisha Pattnaik

Journal of Business and Management Sciences. 2015, 3(1), 32-44
DOI: 10.12691/JBMS-3-1-5

Research Article

Product Designing through Conjoint Analysis and Curve Fitting of Financial Data: A Case of Birla Tyres

Monalisha Pattnaik^1,

¹Department of Business Administration Utkal University, Bhubaneswar India-751004

Pub. Date: April 13, 2015

(This article belongs to the Special Issue Multivariate Techniques and Forecasting Techniques with Data Interpretations in Business Models: Applications and Cases)

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Cite this paper

Monalisha Pattnaik. Product Designing through Conjoint Analysis and Curve Fitting of Financial Data: A Case of Birla Tyres. Journal of Business and Management Sciences. 2015; 3(1):32-44. doi: 10.12691/JBMS-3-1-5

Abstract

This case study focuses on the product designing of domestic bias tyres of trucks and bus. There are some attributes of tyres by which potential customers are focusing on these attributes but by taking the most significant attributes like “Application”, “After sales service” and “Rim size” and using the conjoint analysis technique the best combination has been selected. For financial data the curve fitting method of least square of straight line parabolic curve methods are applied for forecasting for the next 10 years and the comparative study also carried out for managerial implication of this company.

Keywords

product design, conjoint analysis, utility, curve fitting, straight line, parabolic curve

Copyright

This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References

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