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Manexia
Published by UDEX Institute
ISSN : -     EISSN : 31246532     DOI : https://doi.org/10.66203
Core Subject : Economy,
Economics, Econometrics & Finance
Manexia: Journal of Business, Management, and Creative Economy is a peer-reviewed academic journal that publishes original research articles, conceptual papers, and case studies in the fields of business, management, and creative economy. The journal aims to advance scholarly discussion and practical insights in areas including strategic management, human resource management, marketing, entrepreneurship, digital business, innovation, and creative industry development. The journal particularly emphasizes interdisciplinary approaches and contemporary issues such as digital transformation, sustainable business practices, and the development of human capital in the creative economy. Manexia welcomes contributions from academics, researchers, practitioners, and policymakers that provide theoretical contributions as well as practical implications for business and organizational development in both local and global contexts.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis dan Menejemen Intetrnasional
Articles 3 Documents
 1 
Search results for , issue "Vol. 2 No. 2 (2026): Human–AI Value Systems" : 3 Documents clear
Human–AI Collaboration as a Strategic Capability in the Creative Economy Reny Sumarni
Manexia: Journal of Business, Management, and Creative Economy Vol. 2 No. 2 (2026): Human–AI Value Systems
Publisher : UDEX Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66203/manexia.02201

Abstract

The rapid advancement of artificial intelligence (AI), particularly generative systems, has transformed its role from a supportive tool into an active participant in organizational processes, especially within the creative economy where value creation is increasingly co-produced. Despite this shift, existing literature remains fragmented across strategic management, AI capability, and human–AI interaction, lacking an integrated framework that explains how human–AI collaboration systematically drives value creation. This study aims to conceptualize human–AI collaboration as a firm-level strategic capability by addressing this theoretical gap. Adopting a conceptual and integrative approach, the study synthesizes insights from dynamic capabilities, AI capability research, and creativity and innovation literature to develop a multidimensional framework. The proposed model conceptualizes Human–AI Collaboration Capability (HACC.) as comprising cognitive augmentation, generative co-creation, adaptive orchestration, and value attribution capability, operating through an iterative collaboration cycle that links micro-level interaction processes to macro-level strategic outcomes. The study contributes by extending capability theory toward distributed cognition and hybrid agency, offering a process-oriented explanation of value creation, and providing a foundation for future empirical research in AI-enabled organizational contexts.
Hybrid Intelligence and Creative Economies Lina Marlina
Manexia: Journal of Business, Management, and Creative Economy Vol. 2 No. 2 (2026): Human–AI Value Systems
Publisher : UDEX Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66203/manexia.02200

Abstract

Hybrid intelligence is redefining value creation in contemporary creative economies through the integration of human cognition and artificial intelligence. Creativity, innovation, and strategic capability increasingly emerge from distributed and interaction-based processes rather than isolated human agency. This transformation reshapes how organizations generate ideas, develop capabilities, and compete in dynamic environments. At the market level, authenticity and meaning are reconstructed through hybrid production systems, while ownership and responsibility become fragmented across multiple actors. Understanding these dynamics is essential for advancing theory and guiding practice in AI-mediated socio-technical systems.
Human–AI Collaboration Reshaping Creative Labor and Professional Identity Dynamics Galih
Manexia: Journal of Business, Management, and Creative Economy Vol. 2 No. 2 (2026): Human–AI Value Systems
Publisher : UDEX Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66203/

Abstract

Creativity is increasingly no longer an exclusively human endeavor, as artificial intelligence becomes deeply embedded in processes of ideation, production, and evaluation. This shift challenges established assumptions about authorship, originality, and professional identity within the creative economy. Despite growing research on digital labor, artificial intelligence, and identity work, these domains remain theoretically fragmented, limiting understanding of how human–AI collaboration reshapes both creative processes and identity construction. This study addresses this gap by developing an integrative conceptual framework that bridges creative labor theory, identity work, and socio-technical perspectives. Using a mechanism-based analytical approach, the study conceptualizes creative labor as a hybrid co-creative system characterized by generative expansion, iterative co-creation, algorithmic mediation, and human curation. It further explains how these processes trigger identity transformation through recursive stages of destabilization, experimentation, negotiation, and reconstruction. The study contributes by reframing creativity as a distributed process, extending identity theory to incorporate AI as an active participant, and introducing the concept of hybrid intelligent labor, offering a foundation for future empirical inquiry.

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All Issue Vol. 2 No. 2 (2026): Human–AI Value Systems Vol. 2 No. 1 (2026): Algorithmic Restructuring of Digital Markets Vol. 1 No. 3 (2025): Governing Digital Markets: Structure and Power Vol. 1 No. 2 (2025): Strategic Reconfiguration and Generative AI in Marketing and Creative Economy Vol. 1 No. 1 (2025): Strategic Architecture Under Persistent Market Volatility