Prof. Chen Xing's Monograph“AI Technological Innovation And Application-Oriented Entrepreneurship” Published Globally, Attracting International Attention​

(MENAFN- GetNews) Recently, AI Technological Innovation and Application-Oriented Entrepreneurship, an academic monograph by Dr. Chen Xing, Associate Professor at Hankou University (ISBN 979-11-986626-0-6), was officially published globally after rigorous review by the Korean Academic Frontier Press (AFP). This marks another significant achievement for Dr. Chen following his 2024 publication of Machine Learning Model for Corporate Performance Forecasting by the Korean Institute of Humanities and Social Sciences (KIHSS), further advancing his in-depth exploration of AI commercialization. As the first interdisciplinary work to systematically expound on the deep integration of artificial intelligence innovation and business applications, the book analyzes AI-driven industrial transformation from a global perspective, offering entrepreneurs in China, South Korea, and worldwide a comprehensive methodology spanning technological innovation to business implementation. It also provides cutting-edge theoretical frameworks and practical pathways for corporate managers and researchers.

Focusing on AI-Business Integration to Decode Corporate Performance​

The monograph systematically dissects specific applications of AI technology in scenarios such as business model innovation, startup team formation, and market decision optimization. Combining case studies and empirical analysis, it proposes an "AI + Entrepreneurship" ecosystem model. Innovatively integrating machine learning algorithms (e.g., AdaBoost, SVM) with corporate resource allocation and risk assessment, the book offers actionable solutions for enterprises pursuing intelligent transformation. The Korean Institute of Humanities and Social Sciences praised the work: "This monograph breaks through the boundaries of traditional management research. By cross-fertilizing AI technology with entrepreneurship theory, it presents a new paradigm for global enterprises to navigate uncertainty."

Diverse Scholarly Background and Abundant Research Achievements ​

Dr. Chen Xing is a postdoctoral researcher at Seokyeong University in South Korea, with extensive transnational academic and professional experience in South Korea, Ukraine, and the United States. As a high-level talent recruited by Hankou University, he serves as Associate Professor, Senior Engineer, Wuhan Youth Entrepreneurship Mentor, and Member of the Hubei Provincial Youth Federation. Selected for Wuhan's "3551 Optics Valley Talent Program," Dr. Chen has long dedicated himself to research in AI technological innovation and entrepreneurship education. He has led multiple provincial-level research projects, and his teaching achievements have been recognized with the Hubei Provincial Teaching Achievement Award. His research team's proposed "AI Business Model Innovation Theory" has been widely applied in enterprise digital transformation practices.

Authoritative Endorsement: A Cross-Boundary Work Bridging Academia and Industry​

In the preface, Dean Ju Jaik of the Graduate School of International Convergence at Seokyeong University noted: "This book is not merely a technical manual but a manifesto for the philosophy of entrepreneurship. With 'dynamic adaptation to uncertainty through long-termism' at its core, Dr. Chen constructs a thinking model for business innovation in the AI era, offering profound insights into industry-academia-research collaboration."

Global Vision Empowering Local Innovation, Co-building the Future of the AI Ecosystem​

The publication of this monograph holds both academic significance and is hailed as a model of deep industry-academia-research integration. Dr. Chen's research opens new pathways for the synergistic development of AI and business education. The "technology-empowered entrepreneurship" concept proposed in the book serves as a valuable reference for building global startup ecosystems. As AI continues to reshape the global industrial chain, this work not only fills a research gap in the intersection of AI and innovation-entrepreneurship but also provides strategic guidance for Chinese and foreign enterprises to adapt to technological change through a global lens.

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