RESEARCH ON THE RELATIONSHIP AMONG E-WOM, CONSUMER ETHNOCENTRISM, BRAND EQUITY AND PURCHASE INTENTION

다국어 초록 (Multilingual Abstract)

China has been the biggest factory in the world, most of products are marked “made in China”. With the rapid grows of consumption in China, it is also the biggest market. However, Chinese consumers with deep-rooted Confucian value system may different from Western countries (Ramasamy & Yeung, 2009). Do they still have strong consumer ethnocentrism? Or they can accept all the things they made but with the foreign brands?
The power of WOM to influence customer attitude toward one brand is well known to all the marketing researchers. But the fast development of internet and social media network changed consumers’ behavior, word-of-mouth has acquired electronic WOM (e-WOM) as a new name (Goyette et al, 2010). Customer use E-WOM to evaluate product and make purchase decision.
Ethnocentric consumers are against foreign brands as they believe that purchasing these brands will hurt domestic economy and brands, cause loss of jobs and increase the power of capitalist companies and dependency of poorer economies to them (Kaynak & Eksi, 2013). But customers are will to searching the better products. Such as Chinese mainland consumers hire purchase agent to shopping aboard. The purchase agent post information in the social media network as eWOM. This research wants to explore the young Chinese still have high ethnocentric tendency or not influenced by eWOM. If E-WOM can be a marketing method to reduce the ethnocentrism when foreign brands entry a new country. And also the domestic brands can use E-WOM to enhance ethnocentrism to against foreign brands.
In this research, study 1 tests positive E-WOM or negative E-WOM to test if it can enhance Chinese consumers’ ethnocentrism or reduce their ethnocentrism for their own country products. This research also tests if consumer ethnocentrism can influence on brand equity and purchase intention.
Based on the literature review, researchers establish concept model was shown in Table 1.
This study uses SPSS and AMOS to analysis the sample. Based on the results this research gives suggestions to both academic and practice.