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Forecast information and traditional retailer performance in a dual-channel competitive market

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  • Yan, Ruiliang
  • Ghose, Sanjoy

Abstract

Independent firms in a dual-channel competitive market are expected to have their own information about the nature of the market. In this research, we develop a game-theoretic model to examine the value of forecast information about consumers' willingness to pay. The model is based on a simultaneously played Bertrand game. Our results indicate that the profits of online as well as traditional retailers always increase with forecast accuracy, and that forecast accuracy has a greater effect on the performance of the traditional retailer than on that of the online retailer. Our results also show that the difference in profit between that of the traditional retailer and the online retailer increases with forecast accuracy. In addition we find that forecast accuracy is much more valuable to the traditional retailer when there is an increasing volatility in the market, an increasing level of consumer valuation of the product, and an increasing intensity in market competition. Based on our results, we derive optimal market strategies and identify directions of future research.

Suggested Citation

  • Yan, Ruiliang & Ghose, Sanjoy, 2010. "Forecast information and traditional retailer performance in a dual-channel competitive market," Journal of Business Research, Elsevier, vol. 63(1), pages 77-83, January.
  • Handle: RePEc:eee:jbrese:v:63:y:2010:i:1:p:77-83
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    References listed on IDEAS

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    4. Chien-Wen Chen & Chiang-Yu Cheng, 2013. "How online and offline behavior processes affect each other: customer behavior in a cyber-enhanced bookstore," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(5), pages 2539-2555, August.
    5. Xu, Guangye & Dan, Bin & Zhang, Xumei & Liu, Can, 2014. "Coordinating a dual-channel supply chain with risk-averse under a two-way revenue sharing contract," International Journal of Production Economics, Elsevier, vol. 147(PA), pages 171-179.
    6. Yan, Ruiliang & Cao, Zixia & Pei, Zhi, 2016. "Manufacturer's cooperative advertising, demand uncertainty, and information sharing," Journal of Business Research, Elsevier, vol. 69(2), pages 709-717.
    7. repec:eee:joreco:v:20:y:2013:i:1:p:58-67 is not listed on IDEAS
    8. Amrouche, Nawel & Yan, Ruiliang, 2012. "Implementing online store for national brand competing against private label," Journal of Business Research, Elsevier, vol. 65(3), pages 325-332.
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    13. Lang, Mark & Bharadwaj, Neeraj & Di Benedetto, C. Anthony, 2016. "How crowdsourcing improves prediction of market-oriented outcomes," Journal of Business Research, Elsevier, vol. 69(10), pages 4168-4176.
    14. Pei, Zhi & Yan, Ruiliang, 2015. "Do channel members value supportive retail services? Why?," Journal of Business Research, Elsevier, vol. 68(6), pages 1350-1358.

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