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

Authors: Xue Zhao

Addresses: Personal Department, Binzhou Polytechnic, Binzhou, 256603, Shandong, China

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.

Keywords: artificial intelligence; organisational learning; internet-of-things; innovation management; structure equation modelling.

DOI: 10.1504/IJISCM.2024.138082

International Journal of Information Systems and Change Management, 2024 Vol.14 No.1, pp.54 - 69

Received: 30 Nov 2023
Accepted: 12 Feb 2024
Published online: 21 Apr 2024 *

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