Cargando…
Cost–benefit model for multi-generational high-technology products to compare sequential innovation strategy with quality strategy
In the rapidly changing high-tech industry, firms that produce multi-generational products struggle to consistently introduce new products that are superior in innovativeness. However, developing innovative products in a short time sequence period is likely to cause quality problems. Therefore, cons...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8026067/ https://www.ncbi.nlm.nih.gov/pubmed/33826637 http://dx.doi.org/10.1371/journal.pone.0249124 |
_version_ | 1783675605997322240 |
---|---|
author | Kim, Hyoung Jun Jee, Su Jung Sohn, So Young |
author_facet | Kim, Hyoung Jun Jee, Su Jung Sohn, So Young |
author_sort | Kim, Hyoung Jun |
collection | PubMed |
description | In the rapidly changing high-tech industry, firms that produce multi-generational products struggle to consistently introduce new products that are superior in innovativeness. However, developing innovative products in a short time sequence period is likely to cause quality problems. Therefore, considering time and resource constraints, two kinds of strategies are commonly employed: sequential innovation strategy, sequentially introducing a new generation of technology product at every launch interval, ensuring timely innovativeness but with relatively uncertain quality, or quality strategy, intermittently introducing a new generation of products, together with a derivative model between generations to enhance the quality. In this study, we propose a framework for a cost–benefit analysis that compares these two strategies by considering competition between firms within a generation as well as that within a firm across multiple generations (i.e., cannibalization) throughout the launch cycle of high-tech products. We apply our proposed framework to the smartphone market and conduct a sensitivity analysis. The results are expected to contribute to strategic decision-making related to the introduction of multi-generational technology products. |
format | Online Article Text |
id | pubmed-8026067 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-80260672021-04-15 Cost–benefit model for multi-generational high-technology products to compare sequential innovation strategy with quality strategy Kim, Hyoung Jun Jee, Su Jung Sohn, So Young PLoS One Research Article In the rapidly changing high-tech industry, firms that produce multi-generational products struggle to consistently introduce new products that are superior in innovativeness. However, developing innovative products in a short time sequence period is likely to cause quality problems. Therefore, considering time and resource constraints, two kinds of strategies are commonly employed: sequential innovation strategy, sequentially introducing a new generation of technology product at every launch interval, ensuring timely innovativeness but with relatively uncertain quality, or quality strategy, intermittently introducing a new generation of products, together with a derivative model between generations to enhance the quality. In this study, we propose a framework for a cost–benefit analysis that compares these two strategies by considering competition between firms within a generation as well as that within a firm across multiple generations (i.e., cannibalization) throughout the launch cycle of high-tech products. We apply our proposed framework to the smartphone market and conduct a sensitivity analysis. The results are expected to contribute to strategic decision-making related to the introduction of multi-generational technology products. Public Library of Science 2021-04-07 /pmc/articles/PMC8026067/ /pubmed/33826637 http://dx.doi.org/10.1371/journal.pone.0249124 Text en © 2021 Kim et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Kim, Hyoung Jun Jee, Su Jung Sohn, So Young Cost–benefit model for multi-generational high-technology products to compare sequential innovation strategy with quality strategy |
title | Cost–benefit model for multi-generational high-technology products to compare sequential innovation strategy with quality strategy |
title_full | Cost–benefit model for multi-generational high-technology products to compare sequential innovation strategy with quality strategy |
title_fullStr | Cost–benefit model for multi-generational high-technology products to compare sequential innovation strategy with quality strategy |
title_full_unstemmed | Cost–benefit model for multi-generational high-technology products to compare sequential innovation strategy with quality strategy |
title_short | Cost–benefit model for multi-generational high-technology products to compare sequential innovation strategy with quality strategy |
title_sort | cost–benefit model for multi-generational high-technology products to compare sequential innovation strategy with quality strategy |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8026067/ https://www.ncbi.nlm.nih.gov/pubmed/33826637 http://dx.doi.org/10.1371/journal.pone.0249124 |
work_keys_str_mv | AT kimhyoungjun costbenefitmodelformultigenerationalhightechnologyproductstocomparesequentialinnovationstrategywithqualitystrategy AT jeesujung costbenefitmodelformultigenerationalhightechnologyproductstocomparesequentialinnovationstrategywithqualitystrategy AT sohnsoyoung costbenefitmodelformultigenerationalhightechnologyproductstocomparesequentialinnovationstrategywithqualitystrategy |