Evaluating the Impact of Internet of Things (IoT) on Real-Time Decision-Making in Management

Abstract

The proliferation of Internet of Things (IoT) devices has inaugurated a new era of data-driven operational paradigms. This research paper evaluates the profound impact of IoT on real-time decision-making within the domain of operations management. By facilitating the continuous collection and transmission of granular data from physical objects, IoT technologies provide an unprecedented level of visibility and control over complex operational processes. This study explores how the integration of IoT sensors, actuators, and connectivity solutions transforms traditional decision-making models, shifting them from reactive, experience-based approaches to proactive, evidence-based strategies. Through a comprehensive review of existing literature and the analysis of case studies from various industries such as manufacturing, logistics, and healthcare, this paper elucidates the mechanisms through which IoT enables enhanced situational awareness, predictive analytics, and automated responses. The methodology involves a qualitative analysis of documented IoT implementations, focusing on the changes in decision-making latency, accuracy, and overall operational efficiency. The results indicate that IoT significantly reduces information asymmetry and decision cycle times, leading to substantial improvements in key performance indicators, including reduced costs, increased productivity, and enhanced service quality. A comparative analysis highlights the stark contrast between operations with and without IoT integration, demonstrating the technology's value proposition. The paper concludes that the strategic adoption of IoT is no longer a mere technological upgrade but a fundamental enabler of competitive advantage, fundamentally reshaping how organizations manage their operations and respond to dynamic market demands in real time.