Advancing employee experience management (EXM) platforms

Abstract

Purpose

This paper aims to present a novel framework for an artificial intelligence (AI)-powered Employee Experience Management (EXM) platform that addresses strategic HR concerns such as employee engagement, personal and professional development and job satisfaction.

Design/methodology/approach

This paper conducted a comprehensive study of the applications of AI technology in HR management and workforce development between 2020 and 2023. The study results were then contextualized in the context of EXM to identify an innovative employee-centered framework.

Findings

This paper presents a novel framework comprising three essential elements: advanced sentiment analytics, context-sensitive career crafting and augmented mentorship. These elements are introduced with the purpose of enhancing the employee experience by leveraging AI technology to provide personalized support.

Originality/value

This paper presents possibilities and priorities in designing the next generation of EXM platforms. Furthermore, this paper offers criteria for evaluating and selecting emerging EXM technologies to guide organizations in adopting future EXM platforms.

Citation

Abhari, K., Bhullar, A., Le, J. and Sufi, N. (2023), "Advancing employee experience management (EXM) platforms", Strategic HR Review, Vol. 22 No. 3, pp. 102-107. https://doi.org/10.1108/SHR-04-2023-0021