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Learning from new product development project failure in high-tech firms: The role of risk anticipation and the underlying mechanisms

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posted on 2025-09-22, 11:25 authored by Yida Tao, Xiaoyu Yu, Mathew HughesMathew Hughes
New product development (NPD) project failure, a common occurrence for high-tech firms, serves as an important source of learning and breeds future success, thereby prompting scholars to investigate the mechanisms of learning from NPD project failure. Studies has revealed the cognitive and emotional mechanisms underlying learning, and has investigated the role of post-failure factors in affecting these mechanisms; However, the influence of pre-failure factors is under-developed. Drawing upon the risk-as-feelings perspective, our study fills this gap by investigating one crucial pre-failure factor—risk anticipation. Our study categorizes risk anticipation into the likelihood anticipation and the magnitude anticipation, and hypothesizes that these two dimensions of risk anticipation affect learning from project failure distinctively. Based on two-wave data collected from 232 project managers in high-tech firms, we find likelihood anticipation positively affects learning from project failure primarily through a cognitive mechanism, as indicated by a positive mediation effect of decision-making comprehensiveness. In contrast, magnitude anticipation negatively affects learning from project failure primarily through an emotional mechanism, as indicated by a negative mediation effect of decision-making comprehensiveness. We shed light on the risk management practices for NPD project in high-tech firms, and offers insights into the post-project learning that breeds future NPD project success.<p></p>

Funding

National Natural Science Foundation of China (72502059; 72532008; 72232010)

History

Author affiliation

College of Business Marketing & Strategy

Version

  • AM (Accepted Manuscript)

Published in

Entrepreneurship Research Journal

Publisher

De Gruyter

issn

2194-6175

eissn

2157-5665

Copyright date

2025

Available date

2025-09-22

Language

en

Deposited by

Professor Mat Hughes

Deposit date

2025-09-08

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