The worst is not to fail, but to fail to learn from failure: A multi-method empirical validation of learning from innovation failure-Reference-Cited by-同舟云学术

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The worst is not to fail, but to fail to learn from failure: A multi-method empirical validation of learning from innovation failure

Published:2023-05 Issue: Volume:190 Page:122427
ISSN:0040-1625
Container-title:Technological Forecasting and Social Change
language:en
Short-container-title:Technological Forecasting and Social Change

Author:

Rhaiem Khalil,Halilem Norrin

Funder

Fonds de Recherche du Québec-Société et Culture

Social Sciences and Humanities Research Council of Canada

Publisher

Elsevier BV

Subject

Management of Technology and Innovation,Applied Psychology,Business and International Management

Reference167 articles.

1. The role of motivations and involvement in wine tourists' intention to return: SEM and fsQCA findings;Afonso;J. Bus. Res.,2018

2. Learning from the failure: experiences in the Korean telecommunications market;Ahn;Technovation,2005

3. Culpable control and the psychology of blame;Alicke;Psychol. Bull.,2000

4. Productivity and performance effects of business process reengineering: a firm-level analysis;Altinkemer;J. Manag. Inf. Syst.,2011

5. Together or separately? Direct and synergistic effects of effectuation and causation on innovation in technology-based SMEs;Alzamora-Ruiz;Int. Entrep. Manag. J.,2021

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