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AI and organisational learning: exploring the impact of IoTs and innovation management on the organisational learning process with moderation of perceived risk

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  • Xue Zhao

Abstract

Organisational learning is crucial for adapting to change, fostering innovation, and improving organisational performance. Artificial intelligence (AI) plays a vital role in various sectors that revolutionise industries and drive innovation in a productive way. This study examines the nexus among the Internet of Things (IoT), innovation management (IM), and organisational learning (OL) from the perspective of China. First, the outcomes confirmed a positive connection between IoT technologies and OL. Second, the study found a positive connection between innovation management and organisational learning. Finally, the study affirmed a positive moderating connection of perceived risk among IoT, IM, and OL. The study endows with insights that by focusing on IoT and IM, organisations can enhance learning capabilities, adapt to changing environments, and drive sustainable growth through the implementation of new technologies. IoT and innovation management empower organisations to embrace a learning mindset, stay agile, and seize opportunities for growth in today's dynamic and competitive business landscape.

Suggested Citation

  • Xue Zhao, 2024. "AI and organisational learning: exploring the impact of IoTs and innovation management on the organisational learning process with moderation of perceived risk," International Journal of Information Systems and Change Management, Inderscience Enterprises Ltd, vol. 14(1), pages 54-69.
  • Handle: RePEc:ids:ijiscm:v:14:y:2024:i:1:p:54-69
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