Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Indonesian Journal of Strategic Management (IJSM)
Mari Maryati
Department of Management, Faculty of Economics and Business, Universitas Komputer Indonesia, Bandung, Indonesia
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
A Structural Equation Approach to AI-Driven Performance Feedback: Catalyzing Employee Commitment and Creativity for Sustainable and Inclusive Organizational Innovation Mari Maryati; Nayla Malva Manika
IJSM Vol 9 No 2 (2026): Indonesia Journal of Strategic Management
Publisher : Program Studi Manajemen Fakultas Ekonomi dan Bisnis Universitas Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/0wwyq246

Abstract

The emergence of artificial intelligence algorithms in the process of human capital evaluation has transformed radically the dynamics of performance evaluation. The purpose of this study is to experimentally test a structural model that examines the effect of algorithmically generated feedback on the promotion of sustainable and inclusive corporate innovation, which is mediated by worker dedication and inventiveness capability. The research employed a quantitative approach based on survey data from 250 practitioners in the technology and service sector in Indonesia. The results utilising Partial Least Squares Structural Equation Modelling (PLS-SEM) show that cognitive flexibility of Ideation competence and psychological security of work attachment, directly promote sustainable and inclusive outcomes. Algorithmic evaluations generate first capacities, while overuse develops algorithmic aversion, diminishing the emotional commitment needed for sustainable innovation. The final implementation of sustainable inclusive innovation is contingent upon human-mediated AI deployment where algorithmic efficiency complements rather than displaces human agency and compassionate leadership
Co-Authors Nayla Malva Manika