Archives

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  Human–AI Value Systems

  Vol. 2 No. 2 (2026)

  The integration of artificial intelligence into organizational and creative processes is fundamentally reshaping how value is produced, interpreted, and distributed. Across contemporary creative economies, value no longer emerges from isolated human cognition but from interaction-based systems where human and algorithmic agents jointly contribute to ideation, decision making, and production. This shift signals a transition toward distributed cognition and hybrid agency, redefining the foundations of strategic capability and organizational competitiveness.

  Creativity and innovation, once understood as individual or firm-level processes, are increasingly enacted as iterative and co-adaptive dynamics within human–AI collaboration systems. Creative outputs emerge through cycles of generative expansion, evaluation, and refinement, while innovation evolves as a continuous interaction between human judgment and algorithmic generation. At the same time, these transformations extend beyond processes into the structure of work itself, where creative labor and professional identity are reconfigured through ongoing negotiation between human expertise and intelligent systems.

  At the market and societal levels, the rise of AI-mediated production introduces new complexities in meaning construction, authenticity evaluation, and value ownership. Consumers increasingly interpret value based on hybrid authorship, while organizations face challenges in assigning responsibility and distributing benefits within multi-actor systems. These dynamics highlight that value in human–AI environments is not fixed but relational, negotiated, and embedded within broader socio-technical and ethical structures.

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  Algorithmic Restructuring of Digital Markets

  Vol. 2 No. 1 (2026)

  Artificial intelligence is increasingly reshaping the structural foundations of digital markets. Rather than functioning solely as a technological tool within firms, algorithmic infrastructures now influence how market interactions are organized, how firms participate in platform ecosystems, and how value is created and distributed across digitally mediated environments. Algorithms embedded in recommendation systems, data analytics, and coordination platforms increasingly structure market visibility, transactional flows, and strategic decision-making across interconnected actors.

  These developments reveal how digital competition is progressively mediated through algorithmic architectures. Algorithmic systems allocate visibility within platform markets, enable large-scale data aggregation that reshapes value appropriation, blur organizational boundaries through embedded decision infrastructures, and fragment demand into highly individualized consumption environments. Pricing processes also become increasingly governed through dynamic computational mechanisms that continuously adjust to behavioral signals and shifting demand conditions.

  At the same time, these transformations reshape productivity dynamics within digital economies. Artificial intelligence may significantly enhance task-level efficiency, yet productivity gains do not always translate uniformly into firm-level performance. Organizational complements, measurement limitations, and platform-level learning effects can produce uneven productivity outcomes across firms, platforms, and broader digital ecosystems, highlighting the growing role of algorithmic systems as structural coordinators of contemporary market activity.

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  Governing Digital Markets: Structure and Power

  Vol. 1 No. 3 (2025)

  This issue advances a structural conversation on how digital markets are governed in emerging economies. Rather than treating regulation as an external constraint or technical compliance requirement, the collection positions institutional architecture as a constitutive force that shapes ecosystem configuration, power asymmetries, territorial boundaries, and value distribution.

  The contributions collectively explore how regulatory consolidation reorganizes dependence relations, how data localization territorializes competitive logic, and how interoperability enables coordinated decentralization across fragmented jurisdictions. At the organizational level, compliance is reframed as a credibility-generating capability that produces trust and legitimacy, while SME inclusion is examined through a paradox lens that reveals the coexistence of expanded opportunity and intensified structural dependency.

  Taken together, the articles argue that competitive advantage in contemporary digital economies is increasingly structured by governance design. Institutional infrastructures—rather than technological scale alone—determine participation thresholds, bargaining leverage, ecosystem alignment, and surplus allocation. This collection extends the theoretical conversation in strategic management toward a governance-centered understanding of digitally mediated markets.

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  Strategic Reconfiguration and Generative AI in Marketing and Creative Economy

  Vol. 1 No. 2 (2025)

  The second issue of Manexia: Journal of Business, Management, and Creative Economy advances the journal’s exploration of strategic transformation in the era of generative artificial intelligence. Rather than framing AI as a purely technological innovation, this issue positions generative systems as structural mediators that reshape managerial judgment, organizational capabilities, communicative agency, and symbolic brand value.

  The articles included in this volume develop a coherent theoretical conversation around dynamic capabilities, strategic governance, and the recomposition of marketing architectures under conditions of algorithmic mediation. Contributions examine how generative AI influences executive cognition, transforms marketing capability structures, redefines customer engagement processes, and challenges established assumptions about authenticity and creativity in branding.

  Collectively, this issue proposes that competitive advantage in the generative economy is no longer grounded solely in resource possession or creative originality, but in the strategic orchestration of probabilistic infrastructures. By integrating perspectives from strategic management, marketing, and the creative economy, the volume extends Manexia’s intellectual direction toward theory-driven scholarship that interrogates how organizations adapt to rapidly evolving technological environments.

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  Strategic Architecture Under Persistent Market Volatility

  Vol. 1 No. 1 (2025)

  The inaugural issue of Manexia: Journal of Business, Management, and Creative Economy presents a curated collection of conceptual contributions that advance the emerging discourse on strategic architecture under persistent market volatility. This issue brings together six theory-building articles and an editorial reflection that collectively explore how organizations design governance systems, learning processes, diversification structures, exposure symmetry, and commitment architecture in environments characterized by structural uncertainty.

  Rather than treating volatility as a temporary disruption, the contributions in this volume conceptualize it as a constitutive strategic condition shaping managerial judgment, portfolio configuration, and organizational resilience. The articles develop integrative frameworks addressing strategic diversification capability, corrective strategic rebalancing, governance architecture, organizational learning cycles, structural exposure symmetry, and strategic commitment design. Together, these works position strategic architecture as a unifying lens for understanding how firms sustain coherence and adaptive stability in turbulent markets.

  As the first publication of Manexia, this inaugural issue establishes the journal’s intellectual direction toward theory-driven scholarship that bridges strategic management, corporate governance, organizational learning, and creative economy perspectives within contemporary business environments.