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Attitudes in Consuming Green Products: Exploring Chinese Consumers in the Beauty Industry

Background: China's rapidly growing beauty consumer market has led to environmental deterioration and Chinese citizens are aware of this important issue, however, despite positive pro-environmental attitudes, consumers are reluctant to buy green products. This issue is known as the attitude-behavior gap, and existing research lacks information on how this gap operates in the Chinese beauty market. Purpose: The purpose of this study is to use the ACB (Affective, Cognitive, Behavioral) Attitude Model to explore how the attitude-behavior gap works in the Chinese beauty market, specifically, the attitudes of Chinese consumers and how they influence behavior. Method: This study was an exploratory qualitative study in which 30 Chinese participants were interviewed in 3 focus groups consisting of 10 participants each. For the purpose of this study, participants' attitudes toward beauty and personal care products were investigated. Conclusion: The empirical findings show that green knowledge is considered the most important factor in the attitude-behavior gap, as consumption habits and patterns hinder purchase behavior. Second, is health consciousness, where purchase behavior is hindered by the skepticism of product attributes and insufficient information. Third, self-image, as overpackaging makes consumers think that it is detrimental to their image of green consumption. Finally, social influence is the least important factor, as Chinese people are collectivistic and purchasing behavior is more likely to be influenced by surroundings. By prioritizing these four factors, beauty companies and marketers can understand what is preventing Chinese consumers from purchasing beauty and personal care products, and then have the appropriate marketing strategies to respond.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:hj-56815
Date January 2022
CreatorsFang, Teng, Li, Bingxin
PublisherJönköping University, IHH, Företagsekonomi
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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