The Impacts of Artificial Intelligence on Business Innovation: A Comprehensive Review of Applications, Organizational Challenges, and Ethical Considerations

Systems, Journal Year: 2025, Volume and Issue: 13(4), P. 264 - 264

Published: April 8, 2025

This review synthesizes current knowledge on the transformative impacts of artificial intelligence (AI)—computational systems capable performing tasks requiring human-like reasoning—on business innovation. It addresses potential AI to reshape strategies, operations, and value creation across various industries. Key themes include AI-driven model innovation, human–AI collaboration, ethical governance, operational efficiency, customer experience personalization, organizational capability development, adoption disparities. enables scalable product personalized service delivery, data-driven strategic decisions. Successful implementations hinge overcoming technical, cultural, barriers, with enhancing consumer trust competitiveness, positioning responsible innovation as a imperative. For practitioners, this offers evidence-based frameworks for aligning objectives. academics, it identifies research frontiers, including longitudinal impacts, context-specific roadmaps small- medium-sized enterprises, sustainable pathways. conceptualizes driver systemic transformation, continuous learning, foresight, ability competitive advantage.

Language: Английский

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The Role of Artificial Intelligence in Transforming Business Models

Advances in business strategy and competitive advantage book series, Journal Year: 2025, Volume and Issue: unknown, P. 71 - 98

Published: Jan. 3, 2025

Artificial Intelligence (AI) is transforming the way businesses work, driving a fundamental instability in traditional business paradigms. This chapter addresses role of AI model innovation, investigating how companies employ technologies to enhance decision-making, optimize processes, and generate new value propositions. By integrating into may change from static, linear models dynamic, data-driven strategies, allowing for better scalability agility. Through series case studies examples, illustrates significant sectors industries where AI-driven have arisen. It also covers barriers adoption, including technological, ethical, organizational hurdles, offers insights future trends developing landscape AI-powered transformations.

Language: Английский

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Adoption and integration of AI in organizations: a systematic review of challenges and drivers towards future directions of research

Kybernetes, Journal Year: 2025, Volume and Issue: unknown

Published: April 18, 2025

Purpose This study aims to detail the current enablers and challenges of AI applications in organizations highlight ways overcome these realize potential this emerging technology. Design/methodology/approach The paper provides a brief history AI. Then it maps state art, consolidates heterogeneous corpus knowledge, investigates impacts technology on insights into possible associated with through systematic review literature conducted PRISMA method thematic analysis. Findings research findings offer an overview most popular techniques within organizations, outlining their value-creation mechanisms. results shed light different topics related challenges, emphasizing implications organizations. Research limitations/implications analysis proposes agenda guide future research, considering identified trends challenges. Originality/value highlights need for multidisciplinary collaboration ongoing assessment ensure that align organizational values goals. It meaningful framework researchers practitioners understand exploit as effective enabler value creation

Language: Английский

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Antecedents of Generative Ai Usage in Chinese Insurance Companies and its Impact on Performance: The Mediating Role of Exploitative and Exploratory Innovation

Published: Jan. 1, 2025

Language: Английский

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