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EMPLOYEE MOTIVATION IN THE VUCA ERA (VOLATILITY, UNCERTAINTY, COMPLEXITY, AMBIGUITY): A SYSTEMATIC REVIEW OF DETERMINING FACTORS AND ORGANIZATIONAL STRATEGIES Ranny Fitria Puspitasari; Aulia Ramadhani; Sopiah
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v5i4.4260

Abstract

The VUCA (Volatility, Uncertainty, Complexity, Ambiguity) era has fundamentally reshaped the organizational landscape, necessitating adaptive and responsive employee motivation strategies. This study aims to identify and analyze the key determinants of employee motivation and effective organizational strategies in navigating the dynamics of the VUCA environment. Employing a Systematic Literature Review (SLR) approach based on the PRISMA 2020 protocol, 25 peer-reviewed articles indexed in Scopus (2019–2024) were analyzed thematically and narratively. The findings indicate that employee motivation is shaped by five core dimensions: psychological conditions and job expectations, agile leadership, adaptive organizational culture, continuous learning, and coaching. Effective organizational strategies include empowerment, value-based incentives, a collaborative culture, and the integration of motivation theories into human resource policies. This study extends the applicability of classical motivation theories within contemporary organizational contexts and offers practical guidance for designing work systems that are human-centric, flexible, and sustainable. The findings emphasize the importance of integrated and contextually grounded motivation strategies in reinforcing organizational resilience amid global uncertainty.
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.