Investigating the Role of Artificial Intelligence and Flexible HR Practices in Fostering Employee Job Engagement and Organizational Resilience: The Moderating Effect of Optimism

This study strives to investigate factors that influence employee job engagement and enhance organizational resilience during crisis. The research model comprises factor like artificial intelligence, flexible HR practices, digital intensity, management intensity, employee creative self-efficacy and investigate employee behavior towards job engagement. In addition to that the moderating effect of employee state of optimism is established between employee job engagement and organizational resilience. Overall, 363 employees have participated in research survey. Statistical results have unveiled significant impact of artificial intelligence, flexible HR practices, digital intensity, management intensity and employee creative self-efficacy in measuring employee job engagement with substantial variance <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:msup> <mml:mrow> <mml:mi>R</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>2</mml:mn> </mml:mrow> </mml:msup> </mml:mrow> </mml:math> 47.4%. Results have also revealed that both employee state of optimism and employee job engagement explained substantial variance in organizational resilience, that is, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:msup> <mml:mrow> <mml:mi>R</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>2</mml:mn> </mml:mrow> </mml:msup> </mml:mrow> </mml:math> 54.7%. Nevertheless, effect size analysis has shown that artificial intelligence is the most influential factor to engage employees at workplace during disruption. This study has suggested that policy makers could achieve organizational resilience by improving artificial intelligence, employee state of optimism, digital intensity, management intensity, employee creative self-efficacy, and flexible human resource practices and therefore these factors need policy makers attention in long run. This study is pioneer in examining the moderating effect of employee state of optimism between employee job engagement and organizational resilience.

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Publication Details

Journal
SAGE Open
Published
2025-10-01
DOI
https://doi.org/10.1177/21582440251389698
Primary Topic
Resilience and Mental Health
Type
article
Field-Weighted Citation Impact
0.00
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article

Investigating the Role of Artificial Intelligence and Flexible HR Practices in Fostering Employee Job Engagement and Organizational Resilience: The Moderating Effect of Optimism

Abdulrahman Awadh Aljuaid
SAGE Open
Resilience and Mental Health
article

Investigating the Role of Artificial Intelligence and Flexible HR Practices in Fostering Employee Job Engagement and Organizational Resilience: The Moderating Effect of Optimism

Abdulrahman Awadh Aljuaid
article en

Abstract

This study strives to investigate factors that influence employee job engagement and enhance organizational resilience during crisis. The research model comprises factor like artificial intelligence, flexible HR practices, digital intensity, management intensity, employee creative self-efficacy and investigate employee behavior towards job engagement. In addition to that the moderating effect of employee state of optimism is established between employee job engagement and organizational resilience. Overall, 363 employees have participated in research survey. Statistical results have unveiled significant impact of artificial intelligence, flexible HR practices, digital intensity, management intensity and employee creative self-efficacy in measuring employee job engagement with substantial variance <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:msup> <mml:mrow> <mml:mi>R</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>2</mml:mn> </mml:mrow> </mml:msup> </mml:mrow> </mml:math> 47.4%. Results have also revealed that both employee state of optimism and employee job engagement explained substantial variance in organizational resilience, that is, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:msup> <mml:mrow> <mml:mi>R</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>2</mml:mn> </mml:mrow> </mml:msup> </mml:mrow> </mml:math> 54.7%. Nevertheless, effect size analysis has shown that artificial intelligence is the most influential factor to engage employees at workplace during disruption. This study has suggested that policy makers could achieve organizational resilience by improving artificial intelligence, employee state of optimism, digital intensity, management intensity, employee creative self-efficacy, and flexible human resource practices and therefore these factors need policy makers attention in long run. This study is pioneer in examining the moderating effect of employee state of optimism between employee job engagement and organizational resilience.

SAGE OpenVol. 15(4)
University of Jeddah (SA), University of Business and Technology (SA)
Openalex Percentile: Top 57%
Resilience and Mental Health
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