Generative artificial intelligence and the challenges to adding value ethically

IF 11.1 1区管理学 Q1 ENGINEERING, INDUSTRIAL

Technovation Pub Date : 2025-04-07 DOI:10.1016/j.technovation.2025.103235

Samuel Fosso Wamba , Maciel M. Queiroz , Krithika Randhawa , Gaurav Gupta

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引用次数: 0

Abstract

Generative Artificial Intelligence (Gen-AI) is reshaping business models, innovation processes, and organizational strategies across industries. This editorial highlights its transformative potential through multiple lenses, including business model adaptation, strategic agility, social impact, creative industries, and ethical governance. The special issue “Generative artificial intelligence and the challenges to adding value ethically” presents diverse perspectives on how firms leverage Gen-AI to gain competitive advantage, drive value creation, and enhance resilience while addressing regulatory, ethical, and operational challenges. The accepted papers examine Gen-AI-driven shifts in entrepreneurship, decision-making, and digital ecosystems using quantitative, qualitative, and mixed-method approaches. Their findings point out both the opportunities and tensions of Gen-AI adoption, highlighting the need for responsible governance, strategic alignment, and human-AI collaboration. By integrating multidisciplinary perspectives, this collection offers a rigorous foundation for scholars, practitioners, and policymakers to understand how Gen-AI can be harnessed to drive sustainable and strategic innovation in an evolving and challenging digital landscape.

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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.