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Diversity in Business‐to‐Business Information Exchange: An Empirical Analysis of Manufacturers and their Trading Partners

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  • Tobin E. Porterfield

Abstract

This article examines the performance implications of information exchange in industrial supply chains. While existing literature has addressed the critical role of information exchange in supply chain integration, existing studies fail to address the specific characteristics of information exchange that affect performance. Through a transaction cost economics theoretical lens, hypotheses are developed and tested to explore the effects of information volume and information diversity on firm performance. The hypotheses are tested using an original dataset of twenty‐three manufacturing firms that exchange information with their trading partners using an electronic intermediary. Results indicate a positive relationship for information volume and a negative relationship for information diversity as related to firm performance.

Suggested Citation

  • Tobin E. Porterfield, 2008. "Diversity in Business‐to‐Business Information Exchange: An Empirical Analysis of Manufacturers and their Trading Partners," Transportation Journal, John Wiley & Sons, vol. 47(3), pages 36-47, June.
    • Handle: RePEc:wly:transj:v:47:y:2008:i:3:p:36-47
    DOI: 10.2307/20713713
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    References listed on IDEAS

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    1. Gérard P. Cachon & Martin A. Lariviere, 2001. "Contracting to Assure Supply: How to Share Demand Forecasts in a Supply Chain," Management Science, INFORMS, vol. 47(5), pages 629-646, May.
    2. Machuca, José A. D. & Barajas, Rafael P., 2004. "The impact of electronic data interchange on reducing bullwhip effect and supply chain inventory costs," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 40(3), pages 209-228, May.
    3. George A. Zsidisin & M. Douglas Voss & Matt Schlosser, 2007. "Shipper‐Carrier Relationships and their Effect on Carrier Performance," Transportation Journal, John Wiley & Sons, vol. 46(2), pages 5-18, March.
    4. Tridas Mukhopadhyay & Sunder Kekre, 2002. "Strategic and Operational Benefits of Electronic Integration in B2B Procurement Processes," Management Science, INFORMS, vol. 48(10), pages 1301-1313, October.
    5. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 1997. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 43(4), pages 546-558, April.
    6. Joel H. Steckel & Sunil Gupta & Anirvan Banerji, 2004. "Supply Chain Decision Making: Will Shorter Cycle Times and Shared Point-of-Sale Information Necessarily Help?," Management Science, INFORMS, vol. 50(4), pages 458-464, April.
    7. Frans Cruijssen & Wout Dullaert & Hein Fleuren, 2007. "Horizontal Cooperation in Transport and Logistics: A Literature Review," Transportation Journal, John Wiley & Sons, vol. 46(3), pages 22-39, June.
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    Cited by:

    1. Ila Manuj & Ayman Omar & Atefeh Yazdanparast, 2013. "The Quest for Competitive Advantage in Global Supply Chains: The Role of Interorganizational Learning," Transportation Journal, John Wiley & Sons, vol. 52(4), pages 463-492, October.
    2. Tobias Schoenherr & Vincent A. Mabert, 2014. "Goal Orientation and Preparation Process in Online Reverse Auctions:," Transportation Journal, John Wiley & Sons, vol. 53(4), pages 381-423, October.
    3. Tobin E. Porterfield & John R. Macdonald & Stanley E. Griffis, 2012. "An Exploration of the Relational Effects of Supply Chain Disruptions," Transportation Journal, John Wiley & Sons, vol. 51(4), pages 399-427, October.

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