Making sense of mixed signals: the impact of (In)consistent performance feedback on corporate digital technology innovation

Abstract Digital technology innovation (DTI) is a vital source of competitive advantage in the digital transformation era. Drawing on the behavioral theory of the firm (BTOF) and the attention-based view (ABV), this study examines how consistent and inconsistent performance feedback influence firms’ digital technology innovation and how CEO attentional vigilance moderates these effects. Using data from Chinese A-share listed companies, we distinguish between mitigation and adaptation DTI to capture the heterogeneity of firms’ behavioral responses. The results show that when primary performance falls below aspiration, firms increase mitigation digital technology innovation but reduce adaptation digital technology innovation. In contrast, when feedback is inconsistent (primary performance below and secondary performance above aspiration), firms decrease mitigation (and increase adaptation) digital technology innovation. CEO attention quantity weakens (strengthens) the positive (negative) relationship between below-aspiration feedback and mitigation (adaptation) innovation, while CEO attention stability weakens (strengthens) the negative (positive) relationship between inconsistent feedback and mitigation (adaptation) innovation. These findings demonstrate how performance ambiguity and executive attention jointly shape the direction of DTI, advancing understanding of managerial cognition and organizational strategy in the digital context.

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Publication Details

Journal
Humanities and Social Sciences Communications
Published
2026-10-08
DOI
https://doi.org/10.1057/s41599-026-09336-9
Primary Topic
Innovation and Knowledge Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Making sense of mixed signals: the impact of (In)consistent performance feedback on corporate digital technology innovation

Huan Shi, Xinran Hu, Shuyang Wang, Xiaoyu Wu et al.
Humanities and Social Sciences Communications
Innovation and Knowledge Management
article

Making sense of mixed signals: the impact of (In)consistent performance feedback on corporate digital technology innovation

Huan Shi, Xinran Hu, Shuyang Wang, Xiaoyu Wu, Xiaotong Huo
article en

Abstract

Abstract Digital technology innovation (DTI) is a vital source of competitive advantage in the digital transformation era. Drawing on the behavioral theory of the firm (BTOF) and the attention-based view (ABV), this study examines how consistent and inconsistent performance feedback influence firms’ digital technology innovation and how CEO attentional vigilance moderates these effects. Using data from Chinese A-share listed companies, we distinguish between mitigation and adaptation DTI to capture the heterogeneity of firms’ behavioral responses. The results show that when primary performance falls below aspiration, firms increase mitigation digital technology innovation but reduce adaptation digital technology innovation. In contrast, when feedback is inconsistent (primary performance below and secondary performance above aspiration), firms decrease mitigation (and increase adaptation) digital technology innovation. CEO attention quantity weakens (strengthens) the positive (negative) relationship between below-aspiration feedback and mitigation (adaptation) innovation, while CEO attention stability weakens (strengthens) the negative (positive) relationship between inconsistent feedback and mitigation (adaptation) innovation. These findings demonstrate how performance ambiguity and executive attention jointly shape the direction of DTI, advancing understanding of managerial cognition and organizational strategy in the digital context.

Humanities and Social Sciences Communications
Openalex Percentile: Top 8%
Innovation and Knowledge Management
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Making sense of mixed signals: the impact of (In)consistent performance feedback on corporate digital technology innovation — Huan Shi, Xinran Hu, et al. · Humanities and Social Sciences Communications (2026) | TGRS Research Map | TGRS