Adelia Azzahra
Swadaya Gunung Jati University, West Java

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Human-AI Collaboration in Small Enterprises: Balancing Automation and Human Input Adelia Azzahra; Mohamad Maulana Ridzki
Return : Study of Management, Economic and Bussines Vol. 4 No. 12 (2025): Return: Study of Management, Economic and Business
Publisher : PT. Publikasiku Academic Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57096/return.v4i12.443

Abstract

Industry 5.0 emphasizes human-centric collaboration between artificial intelligence and human workers, yet small enterprises face unique challenges in AI adoption due to limited resources and technical expertise. This research examines the dynamics of human-AI collaboration in small enterprises, identifying implementation challenges, success strategies, and measurable impacts on productivity and employee satisfaction. A qualitative case study approach was employed, involving semi-structured interviews with 10 AI integration specialists and small enterprise owners (10-50 employees), analysis of 7 organizational case studies, and document reviews of industry reports (2020-2024). Data were analyzed using NVivo 12 software following Braun and Clarke’s thematic analysis framework. Analysis revealed five major themes: skill gaps affecting 68% of interviewed enterprises, employee resistance driven by job security concerns (54%), technical infrastructure barriers (72%), productivity improvements ranging from 15-35% with average 34.3%, and critical importance of human oversight in decision-making (92% consensus). Small enterprises implementing AI with gradual integration strategies reported 28% average productivity increase, 17.8% revenue growth, and 22% improvement in employee satisfaction within 12 months. The 3-year cumulative ROI reached 184% despite initial implementation costs averaging 3-5x software licensing fees. Effective human-AI collaboration in small enterprises requires balanced integration strategies emphasizing employee training (15-20% of budget), transparent policies, gradual implementation (6-12 months), and maintaining human judgment in critical decisions (80-95% of strategic tasks). AI serves most effectively as a complementary tool handling 70-85% of routine, data-intensive tasks while humans retain control over strategic, creative, and interpersonal functions. The research validates Industry 5.0’s human-centric paradigm and provides quantified benchmarks for small enterprise AI adoption.
FOSTERING LOCAL TALENT THROUGH INNOVATION AND COLLABORATION IN INDONESIA’S CREATIVE ECONOMY Adelia Azzahra
International Conference on Economic Business and Social Science Vol. 1 No. 1 (2023): Proceeding International Conference on Economic Business and Social Science (IC
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/icebss.v1i1.26

Abstract

This study aims to explore the role of innovation and collaboration in the development of local talent in Indonesia's creative economy sector. Despite significant growth in this sector, challenges related to access to resources, networks, and infrastructure still hinder the full potential of creative talent, especially in rural areas. Using a qualitative approach, the research gathers data through semi-structured interviews with 20-30 industry stakeholders, including artists, designers, filmmakers, and related parties such as businesses, government officials, and educational institutions. The findings indicate that innovation in products and business models plays a critical role in helping local talent access new markets and differentiate themselves. Collaboration within the creative community and with the business and government sectors provides access to resources and networks that accelerate skill development. However, significant barriers, such as limited capital, poor infrastructure, and a lack of formal collaboration platforms, hinder this potential. Several strategies, such as utilizing crowdfunding, partnerships with investors, and forming informal industry networks, are identified as solutions to address these challenges. This study suggests that the growth of Indonesia's creative economy should be accelerated. There is a need for policies that support more structured collaboration and innovation and improved access to technology and resources for creative talent in underdeveloped areas.