From GenAI-enabled knowledge creation to SME digital transformation: the mediating role of entrepreneurial innovativeness

IF 9.5 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
Haoyu Cao,Hyoungsuk Lee,Vikram Kumar Sharma,Jehan Saleh Lardhi,Omar Abdeljaber
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Abstract

Purpose This study aims to examine how generative artificial intelligence (GenAI)-enabled knowledge creation processes influence entrepreneurial knowledge co-creation and small and medium-sized enterprise (SME) digital transformation through entrepreneurial general innovativeness and entrepreneurial specific innovativeness. Design/methodology/approach Drawing on the socialization, externalization, combination and internalization (SECI) knowledge creation framework, the study develops and tests a mediation model linking GenAI internalization (GAI), GenAI externalization (GAE), GenAI socialization (GAS) and GenAI combination (GAC) with SME outcomes. Data was collected from 391 SME respondents and analysed using covariance-based structural equation modelling in analysis of moment structures. Findings The findings show that GAI, GAE and GAC significantly enhance both entrepreneurial general innovativeness and entrepreneurial specific innovativeness. GAS significantly influences entrepreneurial specific innovativeness but does not significantly affect entrepreneurial general innovativeness. Both forms of entrepreneurial innovativeness positively influence entrepreneurial knowledge co-creation and SME digital transformation. Mediation results further show that entrepreneurial general innovativeness mediates the effects of GAI, GAE and GAC, while entrepreneurial specific innovativeness provides a more consistent mediating pathway across GenAI-enabled knowledge processes. Practical implications SME managers should use GenAI not merely for automation or content generation, but for learning, knowledge articulation, knowledge integration, innovation adoption and digital transformation. Originality/value The study advances GenAI entrepreneurship research by showing how GenAI-enabled SECI processes create SME value through entrepreneurial innovativeness.
从基于基因人工智能的知识创造到中小企业数字化转型:创业创新的中介作用
本研究旨在探讨生成式人工智能(GenAI)支持下的知识创造过程如何通过企业家的一般创新性和企业家的特定创新性影响企业家的知识共同创造和中小企业的数字化转型。本研究借鉴社会化、外部化、组合和内部化(SECI)知识创造框架,开发并检验了一个将GenAI内部化(GAI)、GenAI外部化(GAE)、GenAI社会化(GAS)和GenAI组合(GAC)与中小企业成果联系起来的中介模型。从391个中小企业受访者中收集数据,并使用基于协方差的结构方程模型分析力矩结构。研究结果表明,GAI、GAE和GAC均显著提高了企业家一般创新能力和企业家特定创新能力。GAS显著影响企业家的特定创新能力,但对企业家的一般创新能力影响不显著。两种创业创新形式均对创业知识共创和中小企业数字化转型产生正向影响。中介结果进一步表明,企业家一般创新在GAI、GAE和GAC的影响中起中介作用,而企业家特定创新在genai支持的知识过程中提供了更一致的中介途径。实际意义:中小企业管理者不仅应该将GenAI用于自动化或内容生成,还应该用于学习、知识表达、知识整合、创新采用和数字化转型。独创性/价值该研究通过展示GenAI支持的SECI流程如何通过创业创新创造中小企业价值,推进了GenAI创业研究。
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来源期刊
CiteScore
13.70
自引率
15.70%
发文量
99
期刊介绍: Knowledge Management covers all the key issues in its field including: ■Developing an appropriate culture and communication strategy ■Integrating learning and knowledge infrastructure ■Knowledge management and the learning organization ■Information organization and retrieval technologies for improving the quality of knowledge ■Linking knowledge management to performance initiatives ■Retaining knowledge - human and intellectual capital ■Using information technology to develop knowledge management ■Knowledge management and innovation ■Measuring the value of knowledge already within an organization ■What lies beyond knowledge management?
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