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Multi-generational innovation diffusion modelling: a two dimensional approach

Author

Listed:
  • P.K. Kapur
  • Anu G. Aggarwal
  • Amir H.S. Garmabaki
  • Abhishek Tandon

Abstract

Majority of the consumer durables have multiple technological generations. High technology product comes in new generation where a new innovation offers a significant improvement in performance or benefits over the previous generation. New innovation in the market does not immediately replace the previous one that it intends to substitute, but starts to compete with it. This creates a sequence of parallel diffusions of the existing generational products in the market. In this paper, we develop a two-dimensional multigenerational innovation diffusion model which combines the adoption time of technological diffusion and price of the technology product. The proposed model helps in studying the marketing dynamics of the products which comes in generations. Technological adoptions and the role of the other dimensions are explicitly taken into consideration using Cobb-Douglas function. Empirical implications of the proposed model have been validated on data collected from DRAM (Semiconductor Industry DRAM shipments of six generations) in two plans.

Suggested Citation

  • P.K. Kapur & Anu G. Aggarwal & Amir H.S. Garmabaki & Abhishek Tandon, 2015. "Multi-generational innovation diffusion modelling: a two dimensional approach," International Journal of Applied Management Science, Inderscience Enterprises Ltd, vol. 7(1), pages 1-18.
    • Handle: RePEc:ids:injams:v:7:y:2015:i:1:p:1-18
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    Citations

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    Cited by:

    1. Richie Aggarwal & Ompal Singh & Adarsh Anand & P. K. Kapur, 2019. "Modeling innovation adoption incorporating time lag between awareness and adoption process," 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. 10(1), pages 83-90, February.
    2. Saurabh Panwar & P. K. Kapur & Ompal Singh, 2021. "Predicting diffusion dynamics and launch time strategy for mobile telecommunication services: an empirical analysis," Information Technology and Management, Springer, vol. 22(1), pages 33-51, March.
    3. Saurabh Panwar & P. K. Kapur & Ompal Singh, 2021. "Technology diffusion model with change in adoption rate and repeat purchases: a case of consumer balking," 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. 12(1), pages 29-36, February.
    4. Ayan Chattopadhyay & Somarata Chakraborty, 2019. "Market size growth survival in multi-generation technology environment: A predictive review of the Indian air-conditioner and refrigerator industry," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 9(5), pages 132-146, May.

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