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Product upgrading or not: R&D tax credit, consumer switch and information updating

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  • Shi, Xiutian
  • Shen, Bin

Abstract

Research and Development (R&D) investment is critically important for an innovation firm to maintain market value. In this paper, we examine whether the firm should adopt the product upgrading strategy. We build up a newsvendor model with Bayesian information updating. The firm produces and sells a normal product in the first period, and decides whether to make R&D investment to upgrade the product and switch to the line of upgraded one. The consumer may or may not switch from the normal product to the upgraded one in the second period based on the comparison of surplus. We find that it is beneficial to adopt the product upgrading strategy when the degree of upgraded product demand uncertainty is below a certain threshold. We identify the conditions, under which both the firm and consumer welfare would be better off, once the firm decides to sell the upgraded product. More managerial insights are discussed.

Suggested Citation

  • Shi, Xiutian & Shen, Bin, 2019. "Product upgrading or not: R&D tax credit, consumer switch and information updating," International Journal of Production Economics, Elsevier, vol. 213(C), pages 13-22.
    • Handle: RePEc:eee:proeco:v:213:y:2019:i:c:p:13-22
    DOI: 10.1016/j.ijpe.2019.02.015
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    References listed on IDEAS

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    1. Yanping Cheng & Yunjuan Kuang & Xiutian Shi & Ciwei Dong, 2018. "Sustainable Investment in a Supply Chain in the Big Data Era: An Information Updating Approach," Sustainability, MDPI, vol. 10(2), pages 1-18, February.
    2. Wang, Chun-Hsien & Lu, Yung-Hsiang & Huang, Chin-Wei & Lee, Jun-Yen, 2013. "R&D, productivity, and market value: An empirical study from high-technology firms," Omega, Elsevier, vol. 41(1), pages 143-155.
    3. Shi, Xiutian & Dong, Ciwei & Cheng, T.C.E., 2018. "Does the buy-online-and-pick-up-in-store strategy with pre-orders benefit a retailer with the consideration of returns?," International Journal of Production Economics, Elsevier, vol. 206(C), pages 134-145.
    4. Choi, Tsan-Ming, 2013. "Local sourcing and fashion quick response system: The impacts of carbon footprint tax," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 55(C), pages 43-54.
    5. Kevin McCardle & Kumar Rajaram & Christopher S. Tang, 2004. "Advance Booking Discount Programs Under Retail Competition," Management Science, INFORMS, vol. 50(5), pages 701-708, May.
    6. Xuanming Su, 2009. "Consumer Returns Policies and Supply Chain Performance," Manufacturing & Service Operations Management, INFORMS, vol. 11(4), pages 595-612, March.
    7. Mengze Shi & Jeongwen Chiang & Byong-Duk Rhee, 2006. "Price Competition with Reduced Consumer Switching Costs: The Case of "Wireless Number Portability" in the Cellular Phone Industry," Management Science, INFORMS, vol. 52(1), pages 27-38, January.
    8. Choi, Tsan-Ming & Sethi, Suresh, 2010. "Innovative quick response programs: A review," International Journal of Production Economics, Elsevier, vol. 127(1), pages 1-12, September.
    9. Ananth. V. Iyer & Mark E. Bergen, 1997. "Quick Response in Manufacturer-Retailer Channels," Management Science, INFORMS, vol. 43(4), pages 559-570, April.
    10. Christopher S. Tang & Kumar Rajaram & Ayd{i}n Alptekinou{g}lu & Jihong Ou, 2004. "The Benefits of Advance Booking Discount Programs: Model and Analysis," Management Science, INFORMS, vol. 50(4), pages 465-478, April.
    11. Silbermayr, Lena & Minner, Stefan, 2016. "Dual sourcing under disruption risk and cost improvement through learning," European Journal of Operational Research, Elsevier, vol. 250(1), pages 226-238.
    12. Hau-Ling Chan & Bin Shen & Yajun Cai, 2018. "Quick response strategy with cleaner technology in a supply chain: coordination and win-win situation analysis," International Journal of Production Research, Taylor & Francis Journals, vol. 56(10), pages 3397-3408, May.
    13. Choi, Tsan-Ming & Chow, Pui-Sze & Lee, Chang Hwan & Shen, Bin, 2018. "Used intimate apparel collection programs: A game-theoretic analytical study," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 109(C), pages 44-62.
    14. Pun, Hubert & Ghamat, Salar, 2016. "The value of partnership under competition: When competitors may be R&D joint-venture and supply-chain partners for a critical component," International Journal of Production Economics, Elsevier, vol. 177(C), pages 1-11.
    15. Guido Buenstorf, 2004. "The Economics of Energy and the Production Process," Books, Edward Elgar Publishing, number 3157.
    16. Soo-Haeng Cho & Christopher S. Tang, 2013. "Advance Selling in a Supply Chain Under Uncertain Supply and Demand," Manufacturing & Service Operations Management, INFORMS, vol. 15(2), pages 305-319, May.
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    Cited by:

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    2. Dong, Rong & Wang, Nengmin & Jiang, Bin & He, Qidong, 2023. "Within-brand or cross-brand: The trade-in option under consumer switching costs," International Journal of Production Economics, Elsevier, vol. 255(C).
    3. Zhou, Haijie & Chen, Kebing & Wang, Shengbin, 2023. "Two-period pricing and inventory decisions of perishable products with partial lost sales," European Journal of Operational Research, Elsevier, vol. 310(2), pages 611-626.

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