• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.6
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• pp.163-174
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• 2016

The object of this study identifies the weights of SWOT factors in hidden champion. And the other purpose of the study is to test the differences of weight between Korea hidden champion group and Germany theirs group. The survey research is employed for the hidden champion CEOs of two countries. This research is employed the AHP(Analytic Hierarchy Process) for the weight of SWOT factors in hidden champion based on an empirical survey done to 61 firms which are to be fostered as Korean type hidden champion and 40 firms which are to be fostered as Germany type hidden champion. And then the t-test assesses whether the weight means of two groups are statistically different from each other. The weights of SWOT factors of hidden champion have been identified. There are the differences of weight between Korea group and Germany group. The order of Korea group's weight is following by the strength (0.3062), the opportunities (0.2344), the threat (0.1804), and the weakness (0.1157). The order of Germany group's weight is following by the strength (0.2603), the opportunities (0.2286), the threat (0.1604), and the weakness (0.1432). The technology capability of strength, the lack of knowledge on overseas market of weakness and the market uncertainty of thereat have statistically differences between two groups. However, the sub-factors of opportunities statistically have no differences.

• The Journal of Society for e-Business Studies
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• v.27 no.1
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• pp.29-41
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• 2022

Since the first sale of a banner advertisement in 1995, electronic commerce has become a new transaction channel for consumers. With more than 20 years of its history, electronic commerce has become an important consumption channel for everyone and inexperience is no more a reason that discourages the consumption through this channel. The great expansion of this channel is now a formidable thereat to traditional channels. However, products with high asset specificity and complexity are still having difficulty to be traded over the online channel where the experience of the products for a consumer is limited. Especially, variations of the same product's quality depending on how pre-owners used the product and high complexity to describe the quality of the products prevent used goods from being traded over e-channels. Added to that, the information asymmetry between sellers and buyers for used goods makes the establishment of market transaction difficult. Considering the challenges, the current case study discusses thredUP, a clothing resale platform company. In this paper, we study how the company could overcome those limitations in this toughest resale market through the use of AI for dynamic pricing and standarized product quality ratings. In addition, we also hope to provide readers with the opportunity to understand the secondhand industries and its market, and see where it is heading for in the future.