Search results

1 – 2 of 2
Article
Publication date: 6 November 2017

Huibin Zhan, Sifeng Liu and Jielong Yu

Loyalty of customers is an essential factor influencing the development of geographical indication products industry. The purpose of this paper is to construct a model to detect…

Abstract

Purpose

Loyalty of customers is an essential factor influencing the development of geographical indication products industry. The purpose of this paper is to construct a model to detect factors influencing customers’ loyalty on geographical indication products. With analysing four teas, i.e., Lu’an Gua Pian, Huoshan Huangya, Huangshan tribute chrysanthemum and Yuexi Cuilan, this paper measures the factors strengthening consumers’ loyalty and examines how much impact these factors have.

Design/methodology/approach

This paper is characterised as an exploratory research using the grey incidence analysis model and data are obtained by questionnaire survey.

Findings

In general, result of the analysis indicates that customer’s attitude towards its producing areas, perceived quality and cognition of the protection of geographical indications are the important factors that influence their loyalty towards geographical indication products. Detailed rank of their power that goes from highest to lowest is: customer’s attitude towards its producing areas, perceived quality and cognition of the protection of geographical indications. It also shows that the method of grey incidence analysis is adaptable to evaluate factors affecting consumers’ loyalty, which can make the result more persuasive and objective.

Originality/value

The authors construct a model from three aspects: customer’s attitude towards the producing areas of geographical indication products, the perceived quality and cognition of the protection of geographical indications. On the basis of this model, the authors analyse the factors which influence customer’s loyalty with grey incidence analysis.

Details

Grey Systems: Theory and Application, vol. 7 no. 3
Type: Research Article
ISSN: 2043-9377

Keywords

Abstract

Details

Chinese Social Media
Type: Book
ISBN: 978-1-83909-136-0

1 – 2 of 2