Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Product I...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Product Innovation Management
Article . 2017 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
versions View all 1 versions
addClaim

The Imitator's Dilemma: Why Imitators Should Break Out of Imitation

Authors: Ahmed Doha; Mark Pagell; Morgan Swink; David Johnston;

The Imitator's Dilemma: Why Imitators Should Break Out of Imitation

Abstract

Imitation and innovation are two primary R&D approaches that firms follow in technology development, especially in R&D‐intensive industries. That imitation and innovation share R&D resources and investments gives rise to what is coined in this article as the imitator's dilemma. The imitator's dilemma tells a story of why firms should break out of imitation‐oriented R&D and move toward innovation‐oriented R&D in order to sustain their innovation output and profit performance. This article contributes to the technology and innovation management literature by illuminating the imitator's dilemma both theoretically and empirically. To this end, this study develops and tests hypotheses to investigate the influence of a firm's imitation activity on its innovation output and profit performance, which represent a gap in the current literature. A longitudinal research design is followed on an unbalanced panel dataset between 1991 and 2010 from a sample of 227 firms in three R&D‐intensive manufacturing industries in the United States, including computer, semiconductor, and pharmaceutical. The results of this research reveal a dilemma for imitators. Imitation activity can generate positive returns in terms of a firm's innovation output and return on assets ROA (a measure of short‐term profits). However, these returns are unsustainable. Excessive levels of imitation activity within the firm results in negative returns in terms of its innovation output and ROA. Additionally, any level of imitation activity, low or high, negatively impacts a firm's Tobin's Q (a measure of long‐term corporate valuation). Accordingly, this article makes novel contributions to the technology and innovation management literature by explaining the imitator's dilemma and how firms may effectively manage it.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    24
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
24
Top 10%
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!