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A SYSTEMATIC LITERATURE REVIEW ON THE IMPACT OF INCLUSIVE MANAGEMENT ON ORGANIZATIONAL PERFORMANCE THROUGH EMPLOYEE ENGAGEMENT Ranny Fitria Puspitasari; Budi Eko Soetjipto; Ludi Wisnu Wardhana
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 5 No. 4 (2025): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

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Abstract

This study systematically reviews 71 scholarly articles from the past five years in the Scopus database (Q1–Q4) that examine the relationship between inclusive management—which includes diversity management, equality policies, and inclusion initiatives—and organizational performance, with employee engagement as a mediating variable. Using a Systematic Literature Review approach and thematic analysis, the findings reveal that DEI (diversity, equity, inclusion) practices significantly enhance organizational effectiveness, efficiency, innovation, and sustainability. Diversity management strengthens decision-making and innovation; equality policies promote accountable governance and distributive justice; and inclusion initiatives foster collective participation and employee loyalty. Employee engagement serves as a mediating factor linking DEI practices to performance at both individual and institutional levels. The study develops an integrative conceptual model and identifies directions for future research, including contextual frameworks and longitudinal approaches. These insights offer a strategic foundation for formulating inclusive, equitable, and sustainable management policies.
ARTIFICIAL INTELLIGENCE (AI)-BASED TRAINING AND DEVELOPMENT TO ENHANCE EMPLOYEE PRODUCTIVITY AND PERFORMANCE AND ITS EFFECT ON PURCHASE DECISIONS AT CV CAPTION MEDIA DIGITAL Ranny Fitria Puspitasari; Arief Noviarakhman Zagladi
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 6 No. 2 (2026): April
Publisher : CV. Radja Publika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.19982252

Abstract

This study aims to examine the role of Artificial Intelligence (AI)-based training and development in enhancing employee productivity and performance and its subsequent effect on purchase decisions at CV Caption Media Digital. The research employs an exploratory sequential mixed-method design, combining qualitative and quantitative approaches. The qualitative phase explores AI-based training practices, while the quantitative phase involves 96 respondents selected using the Bernoulli formula. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that AI-based training significantly improves employee productivity and performance through personalized learning, real-time feedback, and adaptive training systems. Furthermore, employee productivity and performance have a positive and significant effect on purchase decisions, both individually and simultaneously. The findings reveal that the integration of AI in training not only enhances internal organizational capabilities but also contributes to improved customer satisfaction and stronger purchase decisions. This study provides theoretical contributions to the resource-based view and dynamic capabilities theory, while also offering practical implications for organizations in leveraging AI to improve human resource quality and business outcomes.