{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T11:50:39Z","timestamp":1777981839826,"version":"3.51.4"},"reference-count":34,"publisher":"Emerald","issue":"3","license":[{"start":{"date-parts":[[2017,11,6]],"date-time":"2017-11-06T00:00:00Z","timestamp":1509926400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["GS"],"published-print":{"date-parts":[[2017,11,6]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>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\u2019 loyalty on geographical indication products. With analysing four teas, i.e., Lu\u2019an Gua Pian, Huoshan Huangya, Huangshan tribute chrysanthemum and Yuexi Cuilan, this paper measures the factors strengthening consumers\u2019 loyalty and examines how much impact these factors have.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>This paper is characterised as an exploratory research using the grey incidence analysis model and data are obtained by questionnaire survey.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>In general, result of the analysis indicates that customer\u2019s 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\u2019s 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\u2019 loyalty, which can make the result more persuasive and objective.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>The authors construct a model from three aspects: customer\u2019s 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\u2019s loyalty with grey incidence analysis.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/gs-10-2016-0037","type":"journal-article","created":{"date-parts":[[2017,10,13]],"date-time":"2017-10-13T07:21:45Z","timestamp":1507879305000},"page":"397-407","source":"Crossref","is-referenced-by-count":14,"title":["Research on factors influencing consumers\u2019 loyalty towards geographical indication products based on grey incidence analysis"],"prefix":"10.1108","volume":"7","author":[{"given":"Huibin","family":"Zhan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sifeng","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jielong","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"key":"key2020120417203962400_ref001","unstructured":"Chen, G. 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