The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES
Transactions ID Number: 20-601
Full Name: Sang Hyun Choi
Position: Associate Professor
Age: ON
Sex: Male
Address: 900 Gazwadong Jinju Gyeongnam
Country: KOREA
Tel: 82-55-772-1704
Tel prefix:
Fax:
E-mail address: chois@gsnu.ac.kr
Other E-mails: flyvalley@gmail.com
Title of the Paper: Collaborative commerce model using shared product taxonomy
Authors as they appear in the Paper: Sang Hyun Choi, Kwan Hee Han, Kun Hoon Lim
Email addresses of all the authors: chois@gnu.ac.kr,hankh@gnu.ac.kr,limkunhun@gmail.com
Number of paper pages: 8
Abstract: In this paper, we present a similar product matching algorithm for the collaborative global sales and delivery model that share the product taxonomy table and have exchangeable products information. The collaborative companies can integrate their business processes for sales and delivery using the shared product taxonomy table. To implement the business model, a product matching algorithm is suggested to compose the shared product taxonomy table. Using the algorithm we can get specification values of two companies¡¯ products within a same category and find matching products with the similar utility values. The main idea of the proposed algorithm is to find the utility range of products in a product class of the companies and register them as exchangeable similar products. The collaborative global sales and delivery process is implemented by collectively classifying shared products of trading partners into similar product sub-classes based on their specification val!
ues. This model helps local companies to perform a collaborative strategy of performing vicarious delivery transaction for ordered goods at another area.
Keywords: Business model, Product matching, Product taxonomy, Recommendation, Utility, Electronic commerce
EXTENSION of the file: .doc
Special (Invited) Session: Product Matching Algorithm for Cooperative Commerce Model
Organizer of the Session: 653-322
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