Capacity optimization of an innovating firmShow others and affiliations
2021 (English)In: International Journal of Production Economics, ISSN 0925-5273, E-ISSN 1873-7579, Vol. 233, article id 108021Article in journal (Refereed) Published
Abstract [en]
This article considers an incumbent's product innovation decision within an uncertain framework, where the firm decides whether to continue selling the established product. The model being dynamic allows to analyze the trade-off between an early innovation where the new product only slightly improves the existing one, or innovating late with a much better new product. We find that the effect of uncertainty is that it raises the value of the strategy where the firm keeps on producing the old product after innovating. This results in earlier investment if the firm stays active on the established product market after adopting the new product, and that it keeps on producing the established product for a longer time after the product innovation. Limited uncertainty could lead to a non-monotonicity: with a better new product it is not optimal to innovate, whereas innovating is optimal with a worse one. © 2021 The Authors
Place, publisher, year, edition, pages
Elsevier B.V. , 2021. Vol. 233, article id 108021
Keywords [en]
Dynamic programming, Innovation, Investment under uncertainty, Product portfolio, Industrial economics, Industrial engineering, Capacity optimization, Non-monotonicity, Product innovation, Product markets, Trade off, Economic and social effects
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-52010DOI: 10.1016/j.ijpe.2020.108021Scopus ID: 2-s2.0-85099191957OAI: oai:DiVA.org:ri-52010DiVA, id: diva2:1522687
Note
Funding text 1: The authors would like to thank two anonymous referees for valuable comments that substantially improved the paper.
2021-01-262021-01-262021-01-26Bibliographically approved