AIoT and Leadership Management in the Business Environment: A New Paradigm for Strategic Agility and Innovation the Corporate Infrastructure

Published: 4 July 2025| Version 1 | DOI: 10.17632/s5thp9rxkz.1
Contributor:
Ahmed AYON

Description

The integration of Artificial Intelligence of Things (AIoT) into business environments is reshaping leadership strategies by enabling real-time data-driven decision-making, enhancing organisational agility, and fostering innovative governance practices. This report explores the AIoT-Enhanced Adaptive Leadership (AEAL) model, which guides leaders through sensing environmental data, thinking via AI interpretation, and acting with timely, strategic interventions. Key case studies from Amazon, Siemens, and Tata Steel illustrate how AIoT technologies empower leadership across logistics, manufacturing, and safety domains.

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The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT)—termed Artificial Intelligence of Things (AIoT)—has redefined business operations across industries. However, its transformative influence on leadership and executive management remains underexplored. This paper investigates how AIoT reshapes leadership styles, augments strategic decision-making, and fosters adaptive, data-informed governance in a volatile, complex business environment. By embedding intelligence into physical systems and processes,

Institutions

  • Independent University
  • North South University

Categories

Big Data, Leadership, Artificial Intelligence of Things

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