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Discriminating market segments using preferential green shift: a conjoint approach

Kushagra Kulshreshtha (Institute of Business Management, GLA University, Mathura, India)
Vikas Tripathi (Institute of Business Management, GLA University, Mathura, India)
Naval Bajpai (ABV-Indian Institute of Information Technology and Management, Gwalior, India)
Prince Dubey (Chouksey Engineering College, Bilaspur, India)

Foresight

ISSN: 1463-6689

Article publication date: 14 August 2017

1121

Abstract

Purpose

This paper aims to explore surprising facets of consumer delight behavior. The study is the empirical juncture of three studies based on consumer survey on the Indian television market. Study 1 traces the existence of greenies in India among brownies prevailing around the globe by using the surprise-delight model. Study 2 is a pre-intervention research design confirming greenies preferences to television attributes such as screen technology, annual energy cost saving, screen resolution, screen size and free gifts. Study 3 signifies a price intervention design by allowing customers to include their preference by replacing the annual energy cost saving with price.

Design/methodology/approach

This paper is a harvest of studies based on discriminant analysis for identifying green and brown customers and a two-level conjoint analysis for identifying attributes contributing to green behavior.

Findings

The empirical generalization of a study comes out with unique findings of the greenies and brownies and their preference and attitude toward green attribution and substitution. A “preferential green shift” appeared as a vital output owing to knowledge–attitude–practice from these consecutive studies. This gap exists because of the price factor. The authors suggest the measures for improvement in product offering by targeting and positioning green products from the findings and the preferential green shift.

Research limitations/implications

Future research may focus on other segments of products such as automobiles, i.e. cars. Despite the availability of the non-probabilistic sampling technique, the probabilistic sampling technique can be used. Finally, a larger sample size could have given a better generalization of results.

Originality/value

The gap in knowledge–attitude–practice was evident. This gap was caused by the presence of “price” concern. The study revealed that heavy consumer durable buyers are aware of the benefit of green, but the reality of price cannot be ignored and finally make a purchasing decision on the basis of price criteria. Hence price is recommended as another criterion to be considered in the technology acceptance models.

Keywords

Citation

Kulshreshtha, K., Tripathi, V., Bajpai, N. and Dubey, P. (2017), "Discriminating market segments using preferential green shift: a conjoint approach", Foresight, Vol. 19 No. 4, pp. 386-408. https://doi.org/10.1108/FS-02-2017-0007

Publisher

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Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited

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