Big Data Analytics and Business Model Innovation: Toward an Integrative View

Dear Colleagues,

Big data analytics (BDA) and cognitive computing are transforming the way organizations create value through data-driven decision-making and AI-enabled innovation. While existing research has explored BDA and business model innovation (BMI) from isolated perspectives (e.g., technological, organizational), a unified framework is lacking.

Focus: This Special Issue aims to bridge this gap by integrating BDA, AI, and cognitive computing with BMI, emphasizing their synergistic role in driving digital transformation and sustainable value creation.

Scope: We invite theoretical, empirical, and methodological contributions addressing: Micro-level: AI/ML-driven decision-making, human-AI collaboration, and algorithmic governance.Meso-level: Cognitive computing capabilities (e.g., predictive analytics, adaptive learning) and their impact on business model design.Macro-level: Ethical AI, sustainable digital ecosystems, and regulatory challenges in data-driven economies.

Purpose: To advance research on how cognitive computing and big data analytics enable novel business models, optimize governance, and foster explainable and trustworthy AI in practice. By synthesizing dynamic capabilities theory, digital transformation, and cognitive computing research, this issue presents a comprehensive perspective on data-driven innovation for scholars and practitioners.

We look forward to receiving your contributions.

Dr. Arash Najmaei Lonbani
Dr. Zahra Sadeghinejad
Dr. Rao Mikkilineni
Guest Editors

Manuscript Submission Information

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