OPTIMIZING ORGANIZATIONAL PERFORMANCE WITH FINANCE, IOT, AND AI IN MANAGEMENT

Abstract

In the contemporary business environment, the integration of finance, the Internet of Things (IoT), and Artificial Intelligence (AI) is pivotal for enhancing organizational performance. This paper explores the synergistic potential of these disciplines within the realm of management to address pressing challenges and capitalize on emerging opportunities. Through a comprehensive literature review, we identify existing gaps and forge a novel theoretical framework that underscores the interconnectedness of financial management, IoT technologies, and AI capabilities. Adopting a mixed-methods approach, our study analyzes quantitative data derived from IoT devices and financial records, alongside qualitative insights from managerial surveys, to assess the impact of this integration on organizational efficiency, decision-making processes, and financial outcomes. The findings reveal significant positive correlations between the strategic adoption of finance, IoT, and AI and the optimization of organizational performance, highlighting the critical role of data-driven decision-making and operational agility. This paper contributes to the existing body of knowledge by offering a nuanced understanding of the multifaceted benefits of integrating finance, IoT, and AI in management practices. Furthermore, it provides practical recommendations for managers seeking to navigate the complexities of the digital age, emphasizing the importance of holistic, technology-enabled approaches to organizational development. The study's implications extend beyond academic discourse, offering actionable insights for practitioners and paving the way for future research in this dynamic interdisciplinary field.