DIGITAL COMMUNICATIONS AS A DRIVER OF BUSINESS MODEL TRANSFORMATION: MECHANISMS OF VALUE CREATION AND IMPACT ON COMPETITIVENESS
Main Article Content
Abstract
Introduction. The rapid digitalization of the global economy has fundamentally altered the logic of value creation and the sources of competitive advantage. Digital communications have transcended their traditional role as marketing tools or technical information channels, evolving into a strategic driver capable of fundamentally reshaping business model architecture. This transformation is evidenced by dramatic structural shifts across industries, particularly in telecommunications, where traditional revenue streams are declining while digital services proliferate. The relevance of this study is underscored by the pressing need for businesses to understand how digital communications can be leveraged not merely for incremental improvements, but for systemic business model innovation that generates sustainable competitive advantage in an increasingly platform-based economy.
Literature review. A comprehensive analysis of recent scholarly publications reveals that digital business model innovation has become a central theme in management research. Foundational studies by Aria et al. (2025), based on an analysis of 684 academic articles, identify digital transformation, platform ecosystems, and digital capabilities as core research clusters. Ceccotti et al. (2025) provide nuanced understanding of technology-induced business model transformation, distinguishing between outside-in adaptation and inside-out innovation. Bariah and Debbah (2025) diagnose the existential challenges facing telecommunications operators, advocating for a shift from "pipe" to "intelligent service pipe" models. Wang, Jiang and Qu (2025) introduce a knowledge system perspective, conceptualizing digital business model innovation as a knowledge-driven adaptive process essential for navigating turbulent environments. Leadership dimensions are explored by researchers in Benchmarking: An International Journal (2025), identifying agility, participativeness, and digital competencies as critical enablers of successful transformation. Despite this rich scholarly attention, a significant gap remains in systematically conceptualizing the specific role of digital communications as an integrative driver of business model transformation and value creation mechanisms.
The purpose of the article is to conduct a systematic analysis of the theoretical and methodological foundations and practical mechanisms through which digital communications influence business model transformation, and to develop a conceptual framework explaining how value is created and competitiveness enhanced through the integration of digital communication tools into core business architecture. The study aims to identify and classify specific impact mechanisms on key business model components, analyze causal relationships between communication-driven transformation and competitive performance, and formulate practical recommendations for strategic management.
Results and discussion. The empirical evidence, most pronounced in the telecommunications sector, confirms the systemic nature of digital communications' impact on business models. Global telecom market growth stagnated at -0.7% CAGR during 2019-2023, with forecasts of only 1.5% growth through 2025, signaling exhaustion of traditional connectivity-based models. The China Mobile case dramatically illustrates structural transformation: traditional voice and SMS revenues collapsed from 77% to below 9%, while digital business services surged to 33.6% of revenues. This validates the necessity of transitioning from "pipe" to platform-based business models, as theorized by Bariah and Debbah, who propose Compute-and-Connectivity-as-a-Service as an emerging paradigm.
The study systematically maps digital communications' influence on core business model components. Value proposition transformation occurs through multi-channel communication technologies enabling personalization and customer co-creation of value. Customer relationships evolve from transactional to partnership models, evidenced by WhatsApp Business spending projected to grow from $1.14 billion in 2019 to $38.61 billion by 2027, and RCS messaging demonstrating 98% open rates with 90% read within 15 minutes. Distribution channels undergo omnichannel and platformization shifts: 64% of operators prioritize APIs for third-party developers as central strategic elements, reflecting transition toward marketplace-driven models where diverse stakeholders participate in interconnected digital ecosystems as conceptualized by Karadimas and Katsianis (2025). Key resources transform fundamentally, with data and analytics capabilities becoming central assets; over 80% of executives acknowledge generative AI will redefine their organizations within three years, though 65% report AI initiatives have not delivered expected value due to insufficient business model transformation.
Four distinct value creation mechanisms are identified and characterized. First, operational cost reduction through communication automation: AI chatbots handle 60-80% of routine inquiries, reducing customer service costs by up to 40%. Second, enhanced customer lifetime value through personalized interaction and transparent data communications, with 91% of consumers identifying data protection as critical for retention. Third, new revenue streams through data and API monetization: GSMA Open Gateway unites 73 operator groups covering 80% of global connections, standardizing APIs for quality-of-service features, location services, and SIM verification, while Fixed Wireless Access demonstrates 20% annual growth. Fourth, network effects and ecosystem value creation within integrated digital platforms where multiple stakeholders exchange services.
Analysis of competitiveness impacts reveals that companies undergoing systemic business model transformation based on digital communications achieve 85-95% of digital platforms' return on invested capital, compared to only 30-35% for traditional operators. However, the "digital paradox" persists: 65% of companies fail to capture expected value from AI investments precisely because they pursue technological implementation without corresponding business model transformation. This validates conceptualizing digital business model innovation as a knowledge-driven adaptive process essential for navigating complexity and turbulence.
Successful transformation cases (China Mobile, Ericsson) demonstrate critical success factors: embedding artificial intelligence internally to sell AI services externally, developing autonomous networks with embedded security, implementing sovereign cloud solutions (projected to reach $258.5 billion by 2027), and deploying private networks with edge computing (market projected to grow from $1.2 billion in 2024 to $21 billion by 2030). These cases confirm that fragmented changes without fundamental rethinking of value creation logic cannot deliver sustainable competitive advantage.
Conclusions. This research establishes digital communications as a strategic driver fundamentally transforming business model architecture across all components. The systematized value creation mechanisms—operational cost reduction, enhanced customer lifetime value, data monetization, and network effects—provide a comprehensive framework for understanding how communication technologies generate economic value. The identified causal relationships between communication-driven transformation and competitiveness demonstrate that companies pursuing systemic transformation achieve substantially superior performance. The theoretical contribution lies in extending digital transformation research frameworks by emphasizing communications as an autonomous driver rather than merely technical infrastructure. Practical implications include strategic guidance for investment prioritization in digital communication technologies and transformation roadmap development. Future research directions include granular analysis of specific technologies' impact on particular business model types across diverse industries, development of comprehensive methodologies for quantitatively assessing digital communication investment effectiveness from business model transformation perspectives, and investigation of risks and barriers including cybersecurity, digital skills development, and ethical dimensions of data utilization.
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