• The Journal of the Korea Contents Association
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• v.12 no.5
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• pp.404-414
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• 2012

B2B2C distribution channel between travel agencies, the travel franchiser's fairness become a big issue. So this study examines the effects of B2B transaction fairness between travel agencies on relationship-orientation and travel franchisee's performance. The research results are as follows: First, the most influential factor on the franchisee's performance was found as relationship-orientation factor. Second, among the 3 variable factors of B2B transaction fairness, the most influential factor on the franchisee's relationship-orientation was found as interactional fairness. And procedural fairness was found as next. Third, distributive fairness and interactional fairness were found to have a significant effect on franchisee's financial performance. And distributive fairness and procedural fairness were found to have a significant effect on franchisee's non-financial competency. Conclusively, excellent employees of travel franchiser' are the most valuable factors in B2B2C transactions due to the nature of the travel industry where human services are valued above everything else.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.333-336
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• 2006

E-marketplace is a kind of B2B e-Business system that supports business transactions among companies. If e-marketplace is revitalized, we expect not only the development of related industry but also decrease of transaction cost among companies. It is necessary for the introduction and revitalization of e-marketplace in tourist industry from this point of view. Participants of tour e-marketplace are tour-related companies(travel agencies, lodging enterprises, shipping enterprises, etc.). Also tourists want to search a variety of tour products or contents. So tour e-marketplace has characteristics of B2C e-Business systems as well as B2B e-Business systems at once. The purpose of this study is to classify success factors that determine characteristics of tour e-marketplace through statistics survey from e-marketplace factors related tourism websites. First of all, we analyze success factors of B2B and B2C e-marketplace. Then we will set up influence factors of tour e-marketplace and conduct a survey about success factors of tour e-marketplace. Therefore, we could expect to find these good attributes in tour e-marketplace success through logistic regression and decision tree analysis from source data.