Digital divide in industry 5.0: Role of generative AI knowledge bases and intellectual capital in organizational resilience performance under territorial proximity

IF 10.9 1区管理学 Q1 ENGINEERING, INDUSTRIAL

Technovation Pub Date : 2025-08-30 DOI:10.1016/j.technovation.2025.103357

Jawad Abbas , Marina Dabić , Nebojša Stojčić

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引用次数: 0

Abstract

Generative AI knowledge bases (Gen AI-KB) are changing the strategies of companies that want to assert themselves in the age of Industry 5.0. But how can firms effectively utilise these advanced resources to strengthen their resilience and achieve superior performance levels? Based on the knowledge-based view (KBV), this study examines the mediating role of organisational resilience in the relationship between Gen AI-KB, intellectual capital, and organisational competitiveness and creative performance. The analysis of data from 279 Turkish manufacturing firms, using structural equation modelling (SEM), shows that both Gen AI-KB and intellectual capital significantly increase resilience, forging an important link between internal knowledge assets and firm performance. Multi-group analysis has shown that geographical contexts, such as the urban-rural divide, can significantly influence these dynamics. The findings of this study highlight the potential that generative AI and intellectual capital have to promote resilience and innovation, allowing firms to capitalise on the opportunities presented by Industry 5.0.

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工业5.0中的数字鸿沟：地域邻近下生成式人工智能知识库和智力资本在组织弹性绩效中的作用

生成式人工智能知识库（Gen AI- kb）正在改变那些想要在工业5.0时代坚持自己的公司的战略。但是，企业如何有效地利用这些先进的资源来增强其弹性并实现卓越的绩效水平？基于知识基础观点，本研究考察了组织弹性在Gen AI-KB、智力资本、组织竞争力和创新绩效之间的中介作用。利用结构方程模型（SEM）对279家土耳其制造企业的数据进行分析，结果表明，Gen AI-KB和智力资本都显著提高了弹性，在内部知识资产和企业绩效之间建立了重要的联系。多组分析表明，地理背景，如城乡差距，可以显著影响这些动态。本研究的结果强调了生成式人工智能和智力资本在促进弹性和创新方面的潜力，使企业能够利用工业5.0带来的机会。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Technovation 管理科学-工程：工业

CiteScore

15.10

自引率

11.20%

发文量

208

审稿时长

91 days

期刊介绍： The interdisciplinary journal Technovation covers various aspects of technological innovation, exploring processes, products, and social impacts. It examines innovation in both process and product realms, including social innovations like regulatory frameworks and non-economic benefits. Topics range from emerging trends and capital for development to managing technology-intensive ventures and innovation in organizations of different sizes. It also discusses organizational structures, investment strategies for science and technology enterprises, and the roles of technological innovators. Additionally, it addresses technology transfer between developing countries and innovation across enterprise, political, and economic systems.