Optimizing Employee Motivation in the Era of Artificial Intelligence: Evidence from MH Raroma, a Digital Creative Enterprise in Vietnam

Thao, Nguyen Vu Hieu and Mai, Luu Thi Thanh (2025) Optimizing Employee Motivation in the Era of Artificial Intelligence: Evidence from MH Raroma, a Digital Creative Enterprise in Vietnam. International Journal of Innovative Science and Research Technology, 10 (10): 25oct658. pp. 1196-1206. ISSN 2456-2165

Abstract

In the context of Industry 4.0, artificial intelligence (AI) is transforming not only business operations but also the way employees perceive work, motivation, and value creation. While AI-driven technologies have enabled automation, efficiency, and data-driven decision-making, they also raise concerns about job insecurity, digital stress, and the erosion of intrinsic motivation. This study explores how employee motivation can be optimized within AI-augmented work environments through a qualitative case study at MH Raroma – a digital creative enterprise specializing in manga and webtoon production in Vietnam. Using in-depth interviews and focus group discussions with 20 participants (artists, editors, and managers), the research identifies five major determinants of motivation in the AI era: (1) AI integration and work redesign, (2) leadership and organizational culture, (3) compensation and recognition systems, (4) digital skills and professional growth, and (5) psychological well-being under technological stress. The findings reveal that AI adoption simultaneously enhances and threatens motivation — it increases productivity and autonomy but also generates anxiety and burnout when not managed properly. The study contributes to the literature by conceptualizing the notion of “Work Motivation Optimization” as a dynamic balance between human needs and technological transformation. Practical implications are proposed for managers to foster a human-centered digital culture, align AI implementation with intrinsic motivators, and design sustainable motivation frameworks for creative and knowledge-intensive industries.

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