Mobile Technology-Enabled Decision Support in Operations Management: Enhancing Human-Centered Smart Manufacturing
Intelligent process design and the integration of new technologies are necessary for smart manufacturing systems to meet high-performance standards, which include resilience, short lead times, high due date reliability, and tailored items for every customer. The planning and control of such smart manufacturing systems necessitate several instances of human decision-making. The increasing adoption of mobile technologies is transforming operations management by enabling real-time connectivity, responsiveness, and human-centered decision-making in manufacturing environments. While prior smart manufacturing models have largely emphasized automation and digital systems, many overlook the critical role of human judgment, experience, and adaptability supported through mobile technology. This study develops an interactive framework that integrates human intelligence with mobile technology–enabled decision support systems to enhance operational flexibility, productivity, and sustainability in manufacturing operations. Grounded in operations management principles, the framework illustrates how mobile platforms facilitate real-time information access, collaborative problem-solving, and adaptive learning across production processes. Empirical findings indicate that mobile technology–supported human decision-making leads to superior operational performance compared to traditional, technology-independent approaches. Results further demonstrate that mobile-enabled automation and connectivity, alongside human and organizational capital, positively contribute to green value creation in industrial firms. However, excessive reliance on automated mobile systems may constrain human creativity and situational judgment, highlighting the importance of balanced integration between human capabilities and mobile technologies. This study contributes to the operations management literature by clarifying how mobile technology–enabled human augmentation supports efficient, ethical, and sustainable manufacturing performance.