With the remarkable progress made in the field of artificial intelligence, there is growing concern about the possibility of robots posing a threat or danger to humans and the robot is crowding more and more people out of their jobs. The epidemic period also witnessed an unparalleled increase in the demand for technology products. This empirical study investigates several aspects of Knowledge Management (KM), Human Capital (HC) and Career Sustainability (CS): first, the relationship between KM dimensions, namely Technical, Cultural, Human and Structural Knowledge Management (TKM, CKM, HKM, SKM) on HC and CS in Malaysian public universities; and, secondly, the moderating role of HC on the relationship between these KM dimensions and CS. A research model was developed to test these hypothesized relationships. The model was tested on data from 251 lecturers, employing structural equation modelling PLS-SEM. The results show that TKM, CKM and HKM, but not SKM, have a significant impact on CS. HC moderates the relationship between TKM, SKM and HKM and CS but not CKM. The results provide useful insights for researchers and academics, outlining the practical and theoretical implications and future research.

随着人工智能领域取得的显着进步，人们越来越担心机器人对人类构成威胁或危险的可能性，机器人正在挤占越来越多的人的工作岗位。疫情期间，对科技产品的需求也空前增长。本实证研究调查了知识管理 (KM)、人力资本 (HC) 和职业可持续性 (CS) 的几个方面：首先，KM 维度之间的关系，即技术、文化、人力和结构知识管理（TKM、CKM、HKM、 SKM）关于马来西亚公立大学的 HC 和 CS；其次，HC 对这些 KM 维度和 CS 之间关系的调节作用。开发了一个研究模型来测试这些假设的关系。该模型使用结构方程建模 PLS-SEM 对来自 251 位讲师的数据进行了测试。结果表明，TKM、CKM 和 HKM，但不是 SKM，对 CS 有显着影响。HC调节TKM、SKM与HKM和CS之间的关系，但不调节CKM。结果为研究人员和学者提供了有用的见解，概述了实践和理论意义以及未来的研究。