About the Journal

FOCUS & SCOPE

I-MARKED (International Journal of Marketing Studies and Environments of Digital Business) is a peer-reviewed international scientific journal dedicated to advancing theoretical, methodological, and empirical knowledge at the intersection of marketing sciences, digital business environments, and modern technological ecosystems. The journal serves as an interdisciplinary academic forum for global scholars, researchers, policymakers, and industry practitioners seeking to examine and document the fundamental transformation of market landscapes driven by emerging technologies, shifting consumer paradigms, and evolving market structures.

I-MARKED welcomes high-quality original research articles—employing rigorous quantitative, qualitative, or mixed-method approaches—as well as substantive conceptual and theoretical manuscripts. The journal’s thematic scope is structured around, but is not strictly limited to, four interconnected pillars:

  1. Digital Marketing & Consumer Behavior Dynamics

Topics of interest include, but are not limited to:

  • Data-Driven & Omnichannel Strategies: Advanced empirical inquiries into programmatic advertising, omnichannel integration, social media marketing dynamics, and performance metrics.

  • Influencer & Content Marketing: The mechanics of Key Opinion Leader (KOL) credibility, parasocial interactions, live-stream commerce, and algorithmic content dissemination.

  • Consumer Psychology in Digital Spaces: Cognitive and affective mechanisms underpinning online consumer behavior, including impulse buying tendencies, hedonic and utilitarian motivations, Fear of Missing Out (FOMO), brand engagement, and post-purchase evaluations.

  • Theoretical Frameworks in Immersive Contexts: The application and extension of established paradigms (e.g., Stimulus-Organism-Response, Theory of Planned Behavior, Dual-Process Theory, Technology Acceptance Models) within live-streaming commerce, augmented/virtual reality (AR/VR), and immersive digital retail environments.

  1. Digital Business Environments & Algorithmic Management

Topics of interest include, but are not limited to:

  • Algorithmic Governance & Artificial Intelligence: The impact of algorithmic decision-making, automated recommendation systems, and generative AI on organizational operations, marketing workflows, and consumer choices.

  • Platform Economics & Ecosystem Evolution: The structural evolution of e-commerce infrastructures, multi-sided platforms, collaborative consumption, and digital sharing economies.

  • Market Competition, Regulation, & Policy: Industry landscape analysis, antitrust concerns, platform governance, regulatory compliance, and public policy formulation in digital business ecosystems.

  1. Strategic Innovation & Digital Business Models

Topics of interest include, but are not limited to:

  • Corporate & Enterprise Transformation: Pathways of digital transformation across multinational corporations (MNCs), small and medium-sized enterprises (SMEs), and digital-native startups.

  • Business Model Disruption: The design, execution, and scaling of innovative platform-based, subscription, marketplace, and decentralized business architectures.

  • Emerging Technologies for Competitive Advantage: Strategic exploitation of Big Data analytics, Blockchain, Internet of Things (IoT), and machine learning to achieve sustainable market leadership.

  1. Sustainability & Ethics in Digital Business

Topics of interest include, but are not limited to:

  • Green Marketing & Digital CSR: Environmental marketing communication, digital corporate social responsibility, and transparent sustainability reporting via digital channels.

  • Platform-Driven Sustainable Consumption: The role of digital platforms in promoting circular economy practices, waste reduction, conscious consumerism, and ethical product life-cycles.

  • Inclusive & Responsible Business Practices: Fostering digital inclusivity, social equity, fair platform labor, and environmentally sustainable practices within the broader digital economy.

  • Data Privacy & AI Ethics: Consumer surveillance, data protection regulations (e.g., GDPR), digital trust, cybersecurity risks, and ethical considerations surrounding automated business systems.