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GenAI and employee innovativeness : How employees' sensing capabilities and the capabilities to use and evaluate GenAI shape their innovative work behavior

Title data

Held, Patrick ; Heubeck, Tim:
GenAI and employee innovativeness : How employees' sensing capabilities and the capabilities to use and evaluate GenAI shape their innovative work behavior.
In: Digital Business. Vol. 5 (2025) Issue 2 . - 100149.
ISSN 2666-9544
DOI: https://doi.org/10.1016/j.digbus.2025.100149

Official URL: Volltext

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Abstract in another language

Innovation is critical for organizational success, with employees' innovative work behavior (IWB) forming a key microfoundation of firm-level innovation. While prior research has identified various antecedents of IWB, the role of generative AI (GenAI) remains underexplored. We address this gap by investigating how employees' capabilities to use and evaluate GenAI influence their IWB. Building on the dynamic capabilities view, we further explore how employees' capabilities to sense technological shifts shape the development of these GenAI capabilities and ultimately foster IWB. We test our model using survey data from 439 business consultants in Germany, Austria, and Switzerland, analyzed via partial least squares structural equation modeling (PLS-SEM). Our results show that employees' sensing capabilities promote both GenAI capabilities and directly enhance IWB. While employees' capability to evaluate GenAI promotes IWB, GenAI usage capability does not. Moreover, we identify a significant mediation pathway: employees' sensing capabilities enhance GenAI usage capability, which in turn enables GenAI evaluation capability and thereby fosters IWB. This study contributes to the IWB literature by exploring relevant yet understudied antecedents: employees' sensing capabilities and their capabilities to use and evaluate GenAI. Moreover, it extends emerging research on GenAI in innovation management by adopting a differentiated capability perspective and uncovering the distinct roles and interplay of employees' GenAI usage and evaluation capabilities.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Innovative work behavior; Generative AI; Dynamic capabilities; Sensing; Innovation management
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration IX - International Management > Chair Business Administration IX - International Management - Univ.-Prof. Dr. Reinhard Meckl
Faculties
Faculties > Faculty of Law, Business and Economics
Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration IX - International Management
Result of work at the UBT: Yes
DDC Subjects: 300 Social sciences > 330 Economics
Date Deposited: 20 Sep 2025 21:00
Last Modified: 05 Feb 2026 13:37
URI: https://eref.uni-bayreuth.de/id/eprint/94755