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Cited by 373

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

How to Overcome Pro‐Change Bias: Incorporating Passive and Active Innovation Resistance in Innovation Decision Models

Talke, Katrin, Heidenreich, Sven·2014·Journal of Product Innovation Management

Abstract

Adoption literature is largely subject to a pro‐change bias; researchers mainly assume that consumers are open to change and thus interested in evaluating new products. However, consumers often reject innovations without considering their potential, such that the adoption process ends before it really has begun. The present study instead argues that innovation resistance, prior to product evaluation, is a regular consumer response that must be recognized and managed to facilitate new product adoption. The authors suggest differentiating passive from active innovation resistance. While passive innovation resistance results from a consumer's generic predisposition to resist innovations prior to new product evaluation, active innovation resistance is an attitudinal outcome that follows an unfavorable new product evaluation. This study also extends extant innovation decision models by describing how passive and active innovation resistance emerge and how they affect decision‐making in later stages of the process.

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Metadata

Authors
Talke, K., & Heidenreich, S.
Venue
Journal of Product Innovation Management
Publisher
Wiley
Published
2013-11-27
Volume
31
Issue
5
Pages
894-907
ISSN
  • 0737-6782 (ISSN-L)
  • 1540-5885
OpenAlex
W1924354094
Cited by
373
References
8
FWCI
23.57
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: How to Overcome Pro‐Change Bias: Incorporating Passive and Active Innovation Resistance in Innovation Decision Models. https://app.cochat.ai/papers/10.1111/jpim.12130
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Talke, K., & Heidenreich, S. (2014). How to Overcome Pro‐Change Bias: Incorporating Passive and Active Innovation Resistance in Innovation Decision Models. Journal of Product Innovation Management. https://doi.org/10.1111/jpim.12130

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.