IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v41y2007i3p497-511.html
   My bibliography  Save this article

Investigating the value of information sharing in multi-echelon supply chains

Author

Listed:
  • Mu-Chen Chen
  • Taho Yang
  • Chi-Tsung Yen

Abstract

No abstract is available for this item.

Suggested Citation

  • Mu-Chen Chen & Taho Yang & Chi-Tsung Yen, 2007. "Investigating the value of information sharing in multi-echelon supply chains," Quality & Quantity: International Journal of Methodology, Springer, vol. 41(3), pages 497-511, June.
    • Handle: RePEc:spr:qualqt:v:41:y:2007:i:3:p:497-511
    DOI: 10.1007/s11135-007-9086-2
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11135-007-9086-2
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11135-007-9086-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhao, Xiande & Xie, Jinxing & Leung, Janny, 2002. "The impact of forecasting model selection on the value of information sharing in a supply chain," European Journal of Operational Research, Elsevier, vol. 142(2), pages 321-344, October.
    2. Hau L. Lee & Kut C. So & Christopher S. Tang, 2000. "The Value of Information Sharing in a Two-Level Supply Chain," Management Science, INFORMS, vol. 46(5), pages 626-643, May.
    3. Bourland, Karla E. & Powell, Stephen G. & Pyke, David F., 1996. "Exploiting timely demand information to reduce inventories," European Journal of Operational Research, Elsevier, vol. 92(2), pages 239-253, July.
    4. Jansen, Derrien R. & Weert, Arjen van & Beulens, Adrie J. M. & Huirne, Ruud B. M., 2001. "Simulation model of multi-compartment distribution in the catering supply chain," European Journal of Operational Research, Elsevier, vol. 133(1), pages 210-224, August.
    5. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    6. Thonemann, U. W., 2002. "Improving supply-chain performance by sharing advance demand information," European Journal of Operational Research, Elsevier, vol. 142(1), pages 81-107, October.
    7. Z Yu & H Yan & T C E Cheng, 2002. "Modelling the benefits of information sharing-based partnerships in a two-level supply chain," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(4), pages 436-446, April.
    8. Kannan Srinivasan & Sundar Kekre & Tridas Mukhopadhyay, 1994. "Impact of Electronic Data Interchange Technology on JIT Shipments," Management Science, INFORMS, vol. 40(10), pages 1291-1304, October.
    9. Wade D. Cook & Moshe Kress, 1990. "A Data Envelopment Model for Aggregating Preference Rankings," Management Science, INFORMS, vol. 36(11), pages 1302-1310, November.
    10. Obata, Tsuneshi & Ishii, Hiroaki, 2003. "A method for discriminating efficient candidates with ranked voting data," European Journal of Operational Research, Elsevier, vol. 151(1), pages 233-237, November.
    11. Charnes, A. & Cooper, W. W. & Golany, B. & Seiford, L. & Stutz, J., 1985. "Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 91-107.
    12. Srinagesh Gavirneni & Roman Kapuscinski & Sridhar Tayur, 1999. "Value of Information in Capacitated Supply Chains," Management Science, INFORMS, vol. 45(1), pages 16-24, January.
    13. T C E Cheng & Y N Wu, 2005. "The impact of information sharing in a two-level supply chain with multiple retailers," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(10), pages 1159-1165, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. A. Azadeh & R. Siadatian & M. Rezaei-Malek & F. Rouhollah, 2017. "Optimization of supplier selection problem by combined customer trust and resilience engineering under uncertainty," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 1553-1566, November.
    2. Somayeh Soheilirad & Kannan Govindan & Abbas Mardani & Edmundas Kazimieras Zavadskas & Mehrbakhsh Nilashi & Norhayati Zakuan, 2018. "Application of data envelopment analysis models in supply chain management: a systematic review and meta-analysis," Annals of Operations Research, Springer, vol. 271(2), pages 915-969, December.
    3. Chia-Nan Wang & Kun-Zhong Li, 2011. "A candidates selection approach for district alliance of university incubators," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(4), pages 769-781, June.
    4. Amir Hosein Afshar Sedigh & Rasoul Haji & Seyed Mehdi Sajadifar, 2023. "The Cost Function of a Two-Level Inventory System with identical retailers benefitting from Information Sharing," Papers 2312.03898, arXiv.org.
    5. Che-Wei Chang, 2022. "Supply chain movement risk in the sneaker industry: an empirical study," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(3), pages 1073-1092, June.
    6. Md. Abdul Moktadir & Sanjoy Kumar Paul & Anil Kumar & Sunil Luthra & Syed Mithun Ali & Razia Sultana, 2023. "Strategic drivers to overcome the impacts of the COVID-19 pandemic: implications for ensuring resilience in supply chains," Operations Management Research, Springer, vol. 16(1), pages 466-488, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kaijie Zhu & Ulrich W. Thonemann, 2004. "Modeling the Benefits of Sharing Future Demand Information," Operations Research, INFORMS, vol. 52(1), pages 136-147, February.
    2. M M Ali & J E Boylan, 2011. "Feasibility principles for Downstream Demand Inference in supply chains," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(3), pages 474-482, March.
    3. Byrne, P.J. & Heavey, Cathal, 2006. "The impact of information sharing and forecasting in capacitated industrial supply chains: A case study," International Journal of Production Economics, Elsevier, vol. 103(1), pages 420-437, September.
    4. Tang, Christopher S., 2006. "Perspectives in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 103(2), pages 451-488, October.
    5. Ryu, Seung-Jin & Tsukishima, Takahiro & Onari, Hisashi, 2009. "A study on evaluation of demand information-sharing methods in supply chain," International Journal of Production Economics, Elsevier, vol. 120(1), pages 162-175, July.
    6. Sari, Kazim, 2008. "On the benefits of CPFR and VMI: A comparative simulation study," International Journal of Production Economics, Elsevier, vol. 113(2), pages 575-586, June.
    7. Nalca, Arcan & Boyaci, Tamer & Ray, Saibal, 2018. "Brand positioning and consumer taste information," European Journal of Operational Research, Elsevier, vol. 268(2), pages 555-568.
    8. Yan, Ruiliang, 2010. "Demand forecast information sharing in the competitive online and traditional retailers," Journal of Retailing and Consumer Services, Elsevier, vol. 17(5), pages 386-394.
    9. Adler, Nicole & Friedman, Lea & Sinuany-Stern, Zilla, 2002. "Review of ranking methods in the data envelopment analysis context," European Journal of Operational Research, Elsevier, vol. 140(2), pages 249-265, July.
    10. Sohn, So Young & Lim, Michael, 2008. "The effect of forecasting and information sharing in SCM for multi-generation products," European Journal of Operational Research, Elsevier, vol. 186(1), pages 276-287, April.
    11. Sari, Kazim, 2010. "Exploring the impacts of radio frequency identification (RFID) technology on supply chain performance," European Journal of Operational Research, Elsevier, vol. 207(1), pages 174-183, November.
    12. Brian Mittendorf & Jiwoong Shin & Dae-Hee Yoon, 2013. "Manufacturer marketing initiatives and retailer information sharing," Quantitative Marketing and Economics (QME), Springer, vol. 11(2), pages 263-287, June.
    13. Yue, Xiaohang & Liu, John, 2006. "Demand forecast sharing in a dual-channel supply chain," European Journal of Operational Research, Elsevier, vol. 174(1), pages 646-667, October.
    14. Ketzenberg, Michael & Oliva, Rogelio & Wang, Yimin & Webster, Scott, 2023. "Retailer inventory data sharing in a fresh product supply chain," European Journal of Operational Research, Elsevier, vol. 307(2), pages 680-693.
    15. Yossi Aviv, 2003. "A Time-Series Framework for Supply-Chain Inventory Management," Operations Research, INFORMS, vol. 51(2), pages 210-227, April.
    16. Brian Mittendorf & Jiwoong Shin & Dae-Hee Yoon, 2013. "Manufacturer marketing initiatives and retailer information sharing," Quantitative Marketing and Economics (QME), Springer, vol. 11(2), pages 263-287, June.
    17. Babai, M.Z. & Ali, M.M. & Boylan, J.E. & Syntetos, A.A., 2013. "Forecasting and inventory performance in a two-stage supply chain with ARIMA(0,1,1) demand: Theory and empirical analysis," International Journal of Production Economics, Elsevier, vol. 143(2), pages 463-471.
    18. repec:dau:papers:123456789/522 is not listed on IDEAS
    19. R Fildes & K Nikolopoulos & S F Crone & A A Syntetos, 2008. "Forecasting and operational research: a review," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(9), pages 1150-1172, September.
    20. Babai, M.Z. & Boylan, J.E. & Syntetos, A.A. & Ali, M.M., 2016. "Reduction of the value of information sharing as demand becomes strongly auto-correlated," International Journal of Production Economics, Elsevier, vol. 181(PA), pages 130-135.
    21. Li, Xiaoming, 2010. "Optimal inventory policies in decentralized supply chains," International Journal of Production Economics, Elsevier, vol. 128(1), pages 303-309, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:qualqt:v:41:y:2007:i:3:p:497-511. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.