• DocumentCode
    2033836
  • Title

    A resource-based view approach for reverse logistics service

  • Author

    Chu, Dian-Hui ; Guo, Hao-yan ; Zhang, Hua

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., Weihai, China
  • Volume
    6
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    2716
  • Lastpage
    2720
  • Abstract
    As reverse logistics (RL) operations are significantly more complex than traditional manufacturing supply chains, many high-tech manufacturers are examining the feasibility of outsourcing reverse logistics activities to third party logistics providers (3PLs) from a strategic planning perspective. Therefore, this work develops a systematic decision making approach for practitioners of reverse logistics in industrial marketing. Reverse logistics service requirements are then analyzed using this approach, in which the resource-based view (RBV) provides the theoretical foundation for determining which reverse logistics service requirements should be fulfilled in-house or outsourced after examining internal resources and capabilities. The outsourcing evaluation framework based on RBV adopts the analytical network process (ANP) not only to investigate the relative importance of service requirements, but also to select an appropriate 3PL.
  • Keywords
    customer services; decision making; outsourcing; reverse logistics; service industries; strategic planning; 3PL; analytical network process; industrial marketing; outsourcing; resource-based view; reverse logistics service requirements; strategic planning; systematic decision making; third party logistics providers; Decision making; Manufacturing; Outsourcing; Reverse logistics; Supply chains; Transportation; Reverse logistics service; analytical network process (ANP); resource-based view (RBV); third party logistics providers (3PLs);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5931-5
  • Type

    conf

  • DOI
    10.1109/FSKD.2010.5569509
  • Filename
    5569509