Title: Inverted U-shaped influence of informal field-based learning on the continuous adoption of artificial intelligence technology

Authors: Yanhong Guo; Zixuan Zhang; Hua Zhang; Yifang Dong

Addresses: School of Economics Management and Law, Jilin Normal University, Siping, Changchun, Jilin, China ' Sunwah International Business School, Liaoning University, Shenyang, Liaoning, China ' Sunwah International Business School, Liaoning University, Shenyang, Liaoning, China ' Sunwah International Business School, Liaoning University, Shenyang, Liaoning, China

Abstract: The application of Artificial Intelligence Technology (AIT) in organisations is becoming increasingly widespread. It has greatly improved efficiency and effectiveness in management practices. Through the investigation of 1003 employees in China, this study analyses the mechanism of Informal Field-Based Learning (IFBL) on Continuous Adoption of Artificial Intelligence Technology (CAAIT). The results reveal: (1) there is an inverted U-shaped relationship between IFBL and CAAIT; (2) employees' helping behaviour plays an intermediary role between IFBL and CAAIT; (3) team's work passion moderates the inverted U-shaped relationship between IFBL and employees' helping behaviour; and (4) team's work passion also moderates the mediating effect played by employees' helping behaviour between IFBL and CAAIT. This study expands the theoretical basis of CAAIT, and the results provide a non-linear perspective on the antecedent variables of CAAIT for future research.

Keywords: informal field-based learning; continuous adoption of artificial intelligence technology; employees' helping behaviour; team's work passion.

DOI: 10.1504/IJCAT.2024.144666

International Journal of Computer Applications in Technology, 2024 Vol.75 No.1, pp.10 - 21

Received: 04 Apr 2023
Accepted: 25 Jan 2024
Published online: 26 Feb 2025 *

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