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The mediating effect of business process digitisation on organisational unlearning and the firms' innovation quality: evidence from China

Yunlong Duan et al.

International Journal of Technology Management2025https://doi.org/10.1504/ijtm.2025.143594article
AJG 2ABDC B
Weight
0.41

Abstract

With the rapid development of the digital economy, organisational resources and paradigms have dramatically changed, suggesting it is imperative for firms to unlearn the obsolete knowledge and adopt digital technologies and platforms to achieve high-quality innovation. However, there is currently little research exploring the role of organisational unlearning in innovation quality in the context of digital transformation. Based on a questionnaire survey of 324 respondents from various industries across China, this study proves that organisational unlearning significantly facilitates a firm's innovation quality divided into three dimensions, (i.e., technology innovation quality, transformation innovation quality, and service innovation quality). Additionally, business process digitisation plays a partial mediating role in the above relationships. This study contributes to organisational learning and innovation management literature. It also serves as a reference for managers to upgrade existing business processes while making effective strategic decisions on innovation.

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https://doi.org/https://doi.org/10.1504/ijtm.2025.143594

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@article{yunlong2025,
  title        = {{The mediating effect of business process digitisation on organisational unlearning and the firms' innovation quality: evidence from China}},
  author       = {Yunlong Duan et al.},
  journal      = {International Journal of Technology Management},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1504/ijtm.2025.143594},
}

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Evidence weight

0.41

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.25 × 0.4 = 0.10
M · momentum0.55 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.