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Online Collaborative Stock Control and Selling Among E-Retailers

  • Conference paper
Database Systems for Advanced Applications (DASFAA 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4947))

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Abstract

Zwass claimed that in e-commerce there are five areas (commerce, collaboration, communication, connection, and computation) in which innovation opportunities could be found. This research is devoted to investigating one way of innovative collaboration among e-retailers and applies the concept of virtual warehousing under an online inter-organizational framework, so as to facilitate selling and to accelerate inventory depletion by resources sharing and mutual assistance. An online collaborative stock control and selling mechanism among e-retailers is therefore constructed. To evaluate the effectiveness of the constructed mechanism, two experimental B2C websites are also built for simulation analyses. According to experimental results, the constructed mechanism could indeed improve the efficiency of selling products for the participating e-retailers by shortening the average time to stock depletion up to 14%.

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Author information

Authors and Affiliations

  1. Department of Information Technology, Ling Tung University,  

    Horng-Ren Tsai

  2. Department of Industrial Engineering and Systems Management, Feng Chia University, 100, Wenhwa Road, Seatwen, Taichung City, Taiwan

    Toly Chen

Authors
  1. Horng-Ren Tsai
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  2. Toly Chen
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Editor information

Jayant R. Haritsa Ramamohanarao Kotagiri Vikram Pudi

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© 2008 Springer-Verlag Berlin Heidelberg

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Tsai, HR., Chen, T. (2008). Online Collaborative Stock Control and Selling Among E-Retailers. In: Haritsa, J.R., Kotagiri, R., Pudi, V. (eds) Database Systems for Advanced Applications. DASFAA 2008. Lecture Notes in Computer Science, vol 4947. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78568-2_53

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  • DOI: https://doi.org/10.1007/978-3-540-78568-2_53

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-78567-5

  • Online ISBN: 978-3-540-78568-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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