Intelligent Industry Management

Abstract

        This academic article aims to explain, analyze, and synthesize the concept of Intelligent Industry Management within the context of digital transformation and the transition toward intelligent industrial systems. The study is based on a conceptual literature review of international academic works and relevant policy documents in order to examine the evolution of intelligent industry and to highlight the role of management as a structural mechanism that integrates technology, data, and human capital in a systematic manner. The synthesis of the literature indicates that the development of intelligent industry cannot rely solely on advanced technologies. Instead, sustainable competitive advantage emerges from management systems that are data-driven, adaptive, and capable of continuously responding to environmental uncertainty. This article proposes an integrated conceptual framework for intelligent industry management consisting of five key components: intelligent technology infrastructure, data and advanced analytics, intelligent management processes, human capital and digital leadership, and governance and strategic alignment. The proposed framework emphasizes management as the central axis of intelligent industrial systems, explaining why some organizations succeed in digital transformation while others fail despite significant technological investments. In addition, the framework highlights the importance of aligning intelligent technologies with organizational structures, managerial processes, and ethical governance mechanisms. The article further discusses the relevance of the proposed framework to the context of developing countries, particularly Thailand, where industrial organizations often face structural limitations in management capability, workforce skills, and data utilization. By shifting the analytical focus from technology-centered perspectives to management-centered integration, this study contributes new conceptual insights to the literature on intelligent industry. The findings of this conceptual study provide practical implications for industrial executives, policymakers, and related stakeholders in designing management systems and development strategies that support sustainable intelligent industry transformation. Moreover, the proposed framework offers a theoretical foundation for future empirical research on intelligent industry management in diverse industrial and national contexts.