Deep Learning-Enabled Business Models for Competitive Advantage

Md Firoz Kabir; Md Imran Chowdhury Rana; Md Towhidul Rahman Faisal; Md Daiyan Chowdhury; Md Yousuf Ahmad

doi:10.71097/IJSAT.v16.i1.1824

Deep Learning-Enabled Business Models for Competitive Advantage

Author(s)	Md Firoz Kabir, Md Imran Chowdhury Rana, Md Towhidul Rahman Faisal, Md Daiyan Chowdhury, Md Yousuf Ahmad
Country	India
Abstract	This paper explores the transformative potential of deep learning (DL) in reshaping business models and creating sustainable competitive advantages in the digital era. While many firms have invested heavily in deep learning technologies, few have successfully harnessed their full potential to drive economic value creation and appropriation. This study addresses the critical question: How can firms leverage deep learning to create and capture value in a competitive market? Through a systematic review of existing literature and the integration of business model theory, network effects, and the theory of situated AI, this paper proposes a novel framework: Deep Learning-Enabled Business Models for Competitive Advantage. The framework emphasizes the strategic positioning of deep learning within a firm’s business model architecture to activate key business model themes such as novelty, efficiency, complementarity, and lock-in. By leveraging deep learning’s unique capabilities in pattern recognition, predictive analytics, and adaptive learning, firms can create data network effects that enhance customer retention, attract new users, and raise entry barriers for competitors. The study also highlights the importance of grounding and bounding deep learning applications within the firm’s operational and strategic context to ensure alignment with business objectives. Key findings reveal that deep learning is not merely a technological tool but a strategic enabler that can drive innovation, operational efficiency, and long-term competitive advantage. The paper concludes with actionable recommendations for firms seeking to integrate deep learning into their business models, emphasizing the need for dynamic adaptation and continuous reconfiguration to maintain relevance in an ever-evolving market landscape.
Keywords	Deep Learning, Business Models, Competitive Advantage, Data Network Effects, Predictive Analytics, Strategic Innovation
Field	Business Administration
Published In	Volume 16, Issue 1, January-March 2025
Published On	2025-02-11
Cite This	Deep Learning-Enabled Business Models for Competitive Advantage - Md Firoz Kabir, Md Imran Chowdhury Rana, Md Towhidul Rahman Faisal, Md Daiyan Chowdhury, Md Yousuf Ahmad - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.1824
DOI	https://doi.org/10.71097/IJSAT.v16.i1.1824
Short DOI	https://doi.org/g85dmd

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Deep Learning-Enabled Business Models for Competitive Advantage

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