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Reference quality-based competitive market structure for innovation driven markets

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  • Kim, Wonjoon
  • Kim, Minki

Abstract

Innovation-driven durable goods markets see substantial changes in quality and available choice sets and subsequent changes of the reference quality in the market over time. Considering the multi-attribute characteristics of these goods, it is important for businesses to identify attribute-specific competitive landscapes and develop competitive innovation strategies at the product attribute level. Therefore, this paper proposes a reference-dependent choice model for product quality at the product attribute level that can capture the asymmetric effect of innovation shocks on product demand, i.e., the innovation elasticity of demand, as well as the competitive market structure in product innovation. Moreover, we confirm that there is a certain quality span for a product attribute where the values of products depreciate most significantly due to innovation shocks, which we refer to as the innovation shadow zone. We demonstrate the effectiveness of the proposed approach in developing attribute-specific product innovation strategies using U.S. mobile telephone market data.

Suggested Citation

  • Kim, Wonjoon & Kim, Minki, 2015. "Reference quality-based competitive market structure for innovation driven markets," International Journal of Research in Marketing, Elsevier, vol. 32(3), pages 284-296.
    • Handle: RePEc:eee:ijrema:v:32:y:2015:i:3:p:284-296
    DOI: 10.1016/j.ijresmar.2014.10.003
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    7. Kwak, Kiho & Kim, Wonjoon & Park, Kyungbae, 2018. "Complementary multiplatforms in the growing innovation ecosystem: Evidence from 3D printing technology," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 192-207.
    8. Hyeokseong Lee & Namil Kim & Kiho Kwak & Wonjoon Kim & Hyungjoon Soh & Kyungbae Park, 2016. "Diffusion Patterns in Convergence among High-Technology Industries: A Co-Occurrence-Based Analysis of Newspaper Article Data," Sustainability, MDPI, vol. 8(10), pages 1-18, October.
    9. Sanghoon Lee & Wonjoon Kim, 2017. "The knowledge network dynamics in a mobile ecosystem: a patent citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 717-742, May.
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