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Digital Platforms as a Strategic Business Model for Sustainable Growth

Nusrat Jahan Boby Department of Computer Science & Engineering Faculty Of Engineering & Technology Shanto-Mariam University of Creative Technology Dhaka, Bangladesh Email: nusratboby.cse@gmail.com ORCID:  https://orcid.org/0009-0001-3939-1745

Prof. Dr Kazi Abdul Mannan Department of Business Administration Faculty of Business Shanto-Mariam University of Creative Technology Dhaka, Bangladesh Email: drkaziabdulmannan@gmail.com ORCID: https://orcid.org/0000-0002-7123-132X

Sustain. env. bus. 2026, 6(1); https://doi.org/10.64907/xkmf.v6.i1.seb.1

Submission received: 1 November 2025 / Revised: 9 December 2025 / Accepted: 26 December 2025 / Published: 1 January 2026

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Abstract

This study explores digital platforms as strategic business models that promote sustainable growth by integrating innovation, inclusivity, and governance. Using a qualitative, multiple-case study design, the research examines platform organisations such as Amazon, Airbnb, and Grab to understand how their business models facilitate economic scalability, environmental responsibility, and social equity. Data were collected through semi-structured interviews, document analysis, and digital ethnography, followed by thematic analysis. Findings reveal four core dimensions: platform scalability and innovation, sustainable value creation, inclusive ecosystem engagement, and ethical governance. The discussion highlights how digital platforms align competitive advantage with sustainability through data-driven operations, stakeholder collaboration, and adaptive regulatory frameworks. Ultimately, the study concludes that platforms represent a new paradigm for sustainable capitalism, redefining business strategy around co-created value and shared responsibility. This research contributes to both theory and practice by offering an integrated framework for leveraging digital platforms to achieve long-term sustainability.

Keywords: data-driven operations, stakeholder collaboration, regulatory frameworks, digital platforms

1. Introduction

Over the past two decades, digital platforms have become one of the most transformative forces reshaping industries, economies, and societies. Characterised by their ability to connect multiple user groups, facilitate interactions, and generate network effects, platforms such as Amazon, Alibaba, Uber, and Airbnb have redefined how value is created and captured in the digital economy (Parker, Van Alstyne, & Choudary, 2016; Evans & Schmalensee, 2016). Unlike traditional linear or “pipeline” firms, which rely on internal production and sequential value chains, digital platforms thrive by orchestrating ecosystems of participants—producers, consumers, developers, and complementors—within a shared infrastructure (Teece, 2018).

At the same time, the global emphasis on sustainability has intensified. Increasing environmental degradation, social inequality, and corporate short-termism have driven governments, investors, and consumers to demand business models that generate not only financial returns but also social inclusion and ecological balance (Elkington, 1997; Bocken, Short, Rana, & Evans, 2014). Sustainable growth, therefore, is understood as a multidimensional process that harmonises economic viability, environmental responsibility, and social equity—often conceptualised through the “triple bottom line” (TBL) approach (Elkington, 1997).

The convergence of these two phenomena—digitalisation and sustainability—creates both opportunities and tensions. On one hand, digital technologies can enable firms to decouple growth from resource consumption by improving efficiency, transparency, and coordination across supply chains (George, Merrill, & Schillebeeckx, 2021). On the other hand, platform dominance, data monopolies, and excessive consumption enabled by frictionless services pose sustainability challenges (Cusumano, Gawer, & Yoffie, 2019). Thus, understanding how digital platforms can function as strategic business models for sustainable growth requires careful integration of strategic management, innovation, and sustainability perspectives.

A digital platform can be viewed not merely as a technological infrastructure but as a strategic architecture—a configuration of governance, interfaces, and ecosystems designed to facilitate value co-creation among multiple stakeholders (Tiwana, 2014). When strategically designed, such architectures can promote inclusivity, circular-economy practices, and resource sharing, thereby contributing to sustainability (Ruggieri, Savastano, Scalingi, Bala, & D’Ascenzo, 2018). For instance, sharing-economy platforms (e.g., BlaBlaCar, Zipcar) reduce idle resources, while digital labour platforms provide employment opportunities in emerging markets (Calabrese, La Sala, Fuller, & Laudando, 2021).

However, there is still a limited understanding of the mechanisms linking digital-platform design to sustainability outcomes. Prior research has largely focused on platform economics—network effects, pricing, and competition (Evans & Schmalensee, 2016)—with relatively less attention to how platform business models can advance social and environmental goals (Katsamakas, 2022). Moreover, while business model innovation (BMI) has been identified as a critical enabler of sustainability (Boons & Lüdeke-Freund, 2013), few studies integrate BMI theory with platform ecosystem theory to explain how firms achieve sustainable growth rather than just scalable growth.

This research addresses that gap by asking:

How can digital platforms function as a strategic business model for sustainable growth?

To answer this question, it synthesises insights from platform theory, business model innovation, and sustainability literature to construct an integrated theoretical framework. The framework proposes that sustainable growth outcomes emerge when firms strategically configure platform architecture, governance, and ecosystem design to balance economic scalability with social and environmental value creation.

Empirically, this study adopts a qualitative multiple-case design to explore how firms operationalise these principles in different contexts. By examining diverse platform firms across industries and geographies, the research aims to identify best practices and strategic patterns that link platform design to sustainability performance.

The contribution of this study is threefold. First, it extends platform theory by integrating sustainability as a strategic dimension of value creation and governance. Second, it advances sustainable business model research by illustrating how digital platforms enable new configurations of stakeholder engagement and shared value. Third, it provides actionable insights for managers and policymakers seeking to design or regulate platform ecosystems aligned with the United Nations Sustainable Development Goals (SDGs).

The paper is structured as follows. Section 2 reviews relevant literature on digital platforms, business model innovation, and sustainability, and develops an integrated theoretical framework. Section 3 outlines the qualitative research methodology, including case selection, data collection, and analytical strategy. Section 4 presents findings on how digital platforms achieve sustainable growth, while Section 5 discusses theoretical and practical implications. Section 6 concludes with recommendations and avenues for future research.

2. Literature Review and Theoretical Framework

2.1 Digital Platforms and Strategic Business Models

Digital platforms are organisational and technological infrastructures that mediate interactions between interdependent user groups, enabling value co-creation and exchange (Parker et al., 2016). They rely on network effects—the principle that the value of the platform increases with the number of participants—which generate exponential growth and scalability (Evans & Schmalensee, 2016). In strategic-management terms, platforms represent a business model innovation (BMI) that transcends firm boundaries by integrating external actors into the value-creation process (Teece, 2018).

Traditional firms create value linearly through production and distribution. In contrast, platforms act as orchestrators that facilitate transactions or collaborations among producers, consumers, and third parties (Cusumano et al., 2019). The platform owner’s strategic role is to design the architecture, establish governance rules, and maintain trust, while participants co-create value through interactions (Tiwana, 2014). This distributed model shifts the competitive advantage from owning resources to controlling interfaces, data, and ecosystems (Jacobides, Cennamo, & Gawer, 2018).

2.2 Business Model Innovation and Sustainability

Business model innovation refers to the reconfiguration of value creation, delivery, and capture mechanisms to generate new sources of competitive advantage (Teece, 2010). Sustainable business models (SBMs) extend this logic by integrating environmental and social considerations into these mechanisms (Boons & Lüdeke-Freund, 2013). A firm pursuing sustainability must design its business model to deliver not only economic value but also ecological and societal value—often achieved through circular-economy principles, stakeholder collaboration, and transparency (Bocken et al., 2014).

Digital transformation accelerates this process by enabling real-time data collection, predictive analytics, and ecosystem connectivity (George et al., 2021). For instance, IoT-based platforms in manufacturing reduce waste and energy consumption by optimising resource flows, while social-innovation platforms promote inclusion by connecting underserved communities to new markets (Ruggieri et al., 2018). Consequently, digitalisation and sustainability are increasingly viewed as mutually reinforcing forces rather than separate strategies (Katsamakas, 2022).

2.3 Digital Platforms for Sustainable Growth

Emerging evidence suggests that platforms can drive sustainable growth through multiple pathways. Economically, they allow rapid scaling without proportional increases in resource use. Socially, they democratise access to markets, employment, and finance. Environmentally, they promote resource sharing and efficiency (Calabrese et al., 2021). However, platforms can also create negative externalities such as precarious labour, excessive consumption, and data exploitation (Zeng, Chen, & Chen, 2022). Hence, sustainable growth depends on the strategic governance of platform ecosystems.

Governance mechanisms—such as access rules, pricing structures, data policies, and incentive systems—determine how value and responsibility are distributed among stakeholders (Tiwana, 2014). Research shows that inclusive and transparent governance fosters trust, innovation, and long-term viability (Jacobides et al., 2018). Moreover, sustainable platforms require ecosystem orchestration that aligns the incentives of complementors and users with environmental and social goals (Jovanovic, Sjödin, & Parida, 2021).

2.4 Integrating Theoretical Perspectives

This study integrates three theoretical lenses to explain how digital platforms support sustainable growth:

• Platform Ecosystem Theory – emphasises the co-evolution of platform architecture, services, and governance mechanisms (Jovanovic et al., 2021). Sustainable growth arises when these elements balance scalability with stakeholder well-being.
• Business Model Innovation Theory – views sustainability as an outcome of dynamic reconfiguration of the value proposition, creation, and capture systems (Teece, 2010; Boons & Lüdeke-Freund, 2013).
• Sustainability and Triple Bottom Line Theory – conceptualises sustainable growth as the simultaneous pursuit of economic prosperity, social equity, and environmental protection (Elkington, 1997).

By combining these perspectives, digital platforms can be theorised as strategic ecosystems that dynamically integrate profit and purpose through technological and organisational design.

2.5 Conceptual Framework

The proposed conceptual framework (Figure 1) explains the linkages among platform design and governance, value-creation configuration, and sustainable growth outcomes.

Platform Design and Governance involves architecture (data flows, modularity, interoperability), governance (rules, algorithms, incentive structures), and ecosystem orchestration (partnerships, co-creation).

Value-Creation Configuration refers to how the platform defines value propositions for diverse stakeholders, structures interactions, and determines monetisation and sustainability alignment (Bocken et al., 2014).

Sustainable Growth Outcomes include economic scalability, social inclusion, environmental efficiency, and long-term resilience (Calabrese et al., 2021).

Hypotheses/Propositions

• P1: Effective platform architecture and governance enable sustainable value-creation configurations.
• P2: Value-creation configurations that embed sustainability principles lead to sustainable growth outcomes.
• P3: The relationship between platform design and sustainable growth is mediated by the firm’s capacity for business model innovation.
• P4: External ecosystem alignment (regulations, partnerships) moderates the relationship between platform configuration and sustainability performance.

The framework implies that sustainability is not an exogenous constraint but an endogenous design principle of successful platform strategies. Firms that treat sustainability as a driver of innovation—rather than compliance—achieve more resilient and scalable growth trajectories (George et al., 2021).

2.6 Research Gaps and Conceptual Contribution

Despite growing literature on digital transformation and sustainability, few studies offer integrated models combining platform ecosystem dynamics with sustainable business model design (Katsamakas, 2022). Empirical research remains limited, especially in emerging economies where digital platforms could advance inclusive growth (Calabrese et al., 2021). The present study fills this gap by developing and operationalising a framework that connects strategic platform design to measurable sustainability outcomes.

The conceptual contribution lies in reconceptualising digital platforms as sustainability enablers rather than merely digital intermediaries. By embedding governance, ecosystem design, and value co-creation within a sustainability logic, firms can align profitability with long-term societal well-being—a key requirement for sustainable growth in the digital age.

3. Research Methodology

This study adopts a qualitative research methodology to explore how digital platforms function as strategic business models that facilitate sustainable growth across industries. Qualitative methods are particularly appropriate for investigating complex social and technological phenomena, as they allow for in-depth understanding of managerial strategies, user behaviours, and ecosystem dynamics (Creswell & Poth, 2018). The study’s aim is to interpret and contextualise the mechanisms through which digital platforms create, deliver, and sustain value, both economically and socially.

3.1 Research Design

The research employs an exploratory multiple-case study design, which enables comparative analysis of different platform-based organisations. Case studies are effective for capturing contextual realities and the strategic nuances of digital ecosystems (Yin, 2018). Through this design, the study investigates how platform-based firms—such as Airbnb, Amazon, and Grab—integrate sustainability principles into their business models while maintaining competitiveness and scalability.

This approach aligns with the interpretivist paradigm, emphasising meaning-making through human interpretation rather than objective measurement (Denzin & Lincoln, 2017). The focus is on understanding strategies from the perspectives of platform managers, users, and ecosystem partners, rather than generalising statistical outcomes.

3.2 Data Collection

• Data were gathered using semi-structured interviews, document analysis, and digital ethnography.
• Interviews were conducted with 20 participants, including managers, policymakers, and entrepreneurs operating within platform ecosystems. The questions were designed to elicit insights into value creation, governance mechanisms, and sustainability practices.
• Document analysis included corporate sustainability reports, press releases, and investor communications from major digital platforms, which helped triangulate findings from the interviews.
• Digital ethnography involved the observation of online communities, user interactions, and platform policies, allowing researchers to understand digital behaviours and value co-creation processes (Kozinets, 2020).
• Triangulation of these data sources ensured methodological rigour and enhanced the validity of the findings (Flick, 2018).

3.3 Data Analysis

The collected data were analysed using thematic analysis, following Braun and Clarke’s (2019) six-step process: familiarisation, coding, theme development, review, definition, and reporting. NVivo software facilitated the systematic organisation of interview transcripts and documents. Codes were developed inductively from the data but guided by theoretical constructs such as the platform business model, network effects, and sustainability integration.

Emerging themes were categorised under three overarching dimensions:

• Strategic platform design (innovation, scalability, user-centricity);
• Sustainability practices (environmental responsibility, inclusive growth, social equity); and
• Ecosystem governance (regulation, data ethics, and stakeholder collaboration).

3.4 Validity and Reliability

To ensure trustworthiness, the study followed Lincoln and Guba’s (1985) criteria:

• Credibility was enhanced through triangulation and member checking, allowing participants to verify interpretations.
• Transferability was ensured by providing rich descriptions of each case.
• Dependability was addressed through an audit trail of data sources and analytical decisions.
• Confirmability was maintained through reflexivity, acknowledging the researcher’s interpretive stance.

3.5 Ethical Considerations

All participants provided informed consent, and confidentiality was maintained through anonymisation. Ethical approval was obtained from the institutional review board of the affiliated university. The study adhered to responsible research practices concerning data storage, participant privacy, and intellectual honesty (Resnik, 2020).

In summary, the qualitative design, combined with thematic analysis and triangulation, allows this study to produce nuanced insights into how digital platforms strategically integrate sustainability to achieve long-term growth.

4. Findings

The findings reveal that digital platforms contribute to sustainable growth by leveraging their ecosystem structures, data-driven operations, and participatory governance models. The analysis identifies four key strategic dimensions: Platform scalability and innovation, Sustainable value creation, Inclusive ecosystem engagement, and Governance and ethical accountability. These dimensions collectively explain how platform-based organisations balance profitability with sustainability.

4.1 Platform Scalability and Innovation

Scalability is a defining feature of digital platforms, achieved through network effects and modular architecture (Parker et al., 2016). Interview data revealed that firms like Amazon and Alibaba employ algorithmic optimisation to reduce resource waste and enhance operational efficiency. For instance, AI-driven logistics help minimise fuel consumption and improve delivery routes, reducing environmental impact (Bocken et al., 2019). Furthermore, platform scalability allows smaller enterprises and individuals to participate in global markets, promoting inclusive economic growth (Evans & Schmalensee, 2016).

Innovation on these platforms often manifests through open APIs, data-sharing partnerships, and co-creation mechanisms. Such innovations align with the principles of circular economy models, where digital efficiency reduces material waste and promotes resource recirculation (Geissdoerfer et al., 2017). Participants emphasised that platform innovation is not only technological but also social—enabling new forms of entrepreneurship, employment, and collaboration.

4.2 Sustainable Value Creation

The second theme centres on how digital platforms integrate sustainability into their value propositions. Platforms increasingly embed environmental and social criteria into their operational metrics. For example, Grab’s “Green Program” integrates electric mobility to reduce carbon emissions, while Airbnb encourages local community engagement to distribute tourism benefits more equitably (Rochet & Tirole, 2006).

Interview participants noted that sustainability has become a strategic differentiator, appealing to environmentally conscious consumers and investors. This is consistent with the growing trend of stakeholder capitalism, in which firms balance profit with social responsibility (Freeman et al., 2020). Digital platforms leverage data analytics to monitor sustainability KPIs, enabling evidence-based decision-making and transparent reporting.

4.3 Inclusive Ecosystem Engagement

A crucial finding is that platforms generate social sustainability by facilitating inclusive participation. The “multi-sided” nature of platforms allows small producers, freelancers, and marginalised communities to access global demand (Kenney & Zysman, 2020). This inclusiveness promotes job creation and reduces entry barriers in the digital economy.

However, inclusivity is not without challenges. Participants pointed to issues such as data inequality, algorithmic bias, and uneven bargaining power among participants. To mitigate these, leading platforms have initiated capacity-building programs and equitable data governance frameworks that promote transparency and fairness (Srnicek, 2017).

This inclusive engagement extends beyond economic participation—it also nurtures social innovation by fostering community resilience, digital literacy, and local entrepreneurship.

4.4 Governance and Ethical Accountability

Governance emerged as a pivotal factor linking platform operations with sustainable outcomes. Sustainable digital platforms exhibit adaptive governance structures—balancing flexibility with accountability (Constantinides et al., 2018). Interviewees stressed the importance of algorithmic transparency, user data protection, and regulatory compliance.

Firms adopting ethical AI frameworks and responsible innovation practices are perceived as more trustworthy and socially legitimate (Floridi, 2020).

Additionally, stakeholder co-governance—where regulators, users, and platform owners collaborate—enhances collective problem-solving for sustainability challenges. This collaborative governance model aligns with the Triple Bottom Line (TBL) framework (Elkington, 1998), which emphasises economic viability, environmental stewardship, and social responsibility.

Collectively, the findings demonstrate that digital platforms function as dynamic socio-technical ecosystems capable of fostering sustainable growth through innovation, inclusivity, and governance. While economic efficiency remains a priority, the most successful platforms integrate sustainability into their core strategies, transforming business models into vehicles for systemic change.

5. Discussion

The findings demonstrate that digital platforms are evolving from purely transactional intermediaries into strategic ecosystems that drive sustainable growth through networked innovation, inclusivity, and governance. This section discusses these insights in relation to existing theoretical frameworks and literature, emphasising how platform business models can simultaneously achieve economic efficiency and societal progress.

5.1 Digital Platforms and Strategic Sustainability

Digital platforms represent a transformative business architecture capable of reconciling profit motives with sustainability objectives. The results support the Resource-Based View (RBV), which posits that sustainable competitive advantage stems from unique, inimitable resources such as data analytics, network capital, and platform governance capabilities (Barney, 1991; Teece, 2018). By leveraging these digital resources, platforms generate long-term value beyond traditional market mechanisms.

For example, Amazon’s integration of machine learning to optimise logistics reflects both efficiency and environmental sustainability, reducing carbon intensity per unit of delivery (Bocken et al., 2019). Similarly, Airbnb’s peer-to-peer model enables resource reuse through accommodation sharing, aligning with circular economy principles (Geissdoerfer et al., 2017). These examples validate the notion that digital platforms serve as strategic vehicles for the triple bottom line—economic viability, environmental stewardship, and social inclusion (Elkington, 1998).

5.2 Integration of Platform Theory and Sustainable Growth

The Platform Theory asserts that value is co-created through interactions among multiple stakeholders connected via a digital infrastructure (Parker et al., 2016). When linked with sustainability theory, this perspective highlights how platforms can catalyse collective problem-solving to address global challenges such as climate change and inequality (Kenney & Zysman, 2020).

The data suggest that successful platforms adopt a multi-stakeholder model, integrating users, regulators, suppliers, and communities in value co-creation. This aligns with Freeman’s (1984) Stakeholder Theory, which argues that firms achieve sustainability when they balance diverse interests rather than maximising shareholder profit alone. Through algorithmic governance and data transparency, platforms institutionalise accountability and ethical norms across their ecosystems (Floridi, 2020).

Thus, digital platforms illustrate how technological architectures can embody social contracts, reshaping capitalism around shared value (Porter & Kramer, 2019).

5.3 Ecosystem Innovation and Network Effects

The study reaffirms that innovation ecosystems play a central role in platform sustainability. Network effects—wherein user participation amplifies value—are not merely economic mechanisms but also enablers of social diffusion and environmental adaptation (Evans & Schmalensee, 2016). For instance, Grab’s deployment of electric vehicles across Southeast Asia demonstrates how network growth can scale sustainability practices rapidly.

These dynamics align with Systems Theory, which views platforms as adaptive systems evolving through feedback loops between users and the environment (Meadows, 2008). Platforms thus become self-reinforcing ecosystems that learn from user data to improve efficiency and equity. Furthermore, collaborative innovation between firms and users supports open sustainability, where shared data and modular infrastructures reduce duplication and environmental waste (Chesbrough, 2020).

5.4 Social Inclusion and Digital Equity

A prominent theme in the findings is the contribution of digital platforms to social inclusion. By connecting small producers and freelancers to global markets, platforms expand employment and entrepreneurship opportunities, particularly in emerging economies (Srnicek, 2017). This reflects the inclusive growth paradigm, which emphasises equitable participation in economic progress (United Nations, 2015).

However, inclusion also introduces governance challenges. Algorithmic bias, data inequality, and precarious labour conditions threaten the very sustainability that platforms claim to foster (Graham et al., 2019). Addressing these requires robust digital ethics frameworks, participatory algorithm audits, and labour protections embedded in platform governance (Floridi, 2020).

Hence, true inclusivity demands both technological access and institutional fairness—a balance achievable through cooperative regulation and public-private partnerships (Kenney & Zysman, 2020).

5.5 Ethical Governance and Regulatory Adaptation

The findings reinforce the necessity of adaptive governance in sustaining platform ecosystems. As digital infrastructures transcend national boundaries, static regulatory systems struggle to ensure accountability and transparency. Platforms that proactively implement ethical AI and data stewardship frameworks not only mitigate reputational risk but also enhance user trust (Constantinides et al., 2018).

Governance mechanisms must evolve from hierarchical control to collaborative co-regulation, where state agencies, civil society, and platforms share oversight (Brennen & Kreiss, 2016). This decentralised model aligns with Institutional Theory, which posits that sustainable legitimacy arises when organisational practices conform to evolving societal norms (Scott, 2014).

Thus, sustainable platform governance requires the integration of ethics-by-design principles, algorithmic transparency, and participatory policy-making. When these mechanisms are institutionalised, platforms transition from private enterprises to public-good infrastructures supporting global sustainability goals.

5.6 Toward a Model of Sustainable Platform Growth

Synthesising the findings and theoretical insights, this research proposes a conceptual model of Sustainable Platform Growth (SPG) based on three interconnected pillars:

• Strategic Value Creation: Leveraging digital resources and data-driven innovation for scalable economic and environmental outcomes.
• Collaborative Governance: Embedding transparency, ethical AI, and multi-stakeholder participation in platform management.
• Inclusive Ecosystem Design: Promoting equitable access and co-creation across users, partners, and communities.

These pillars operate within a feedback loop, where sustainable outcomes reinforce brand legitimacy and user trust, which in turn enhance platform adoption and profitability. This cyclical model aligns with dynamic capabilities theory, which emphasises continuous adaptation to changing socio-economic environments (Teece, 2018).

5.7 Theoretical and Practical Implications

From a theoretical standpoint, the study bridges platform economics with sustainability science, highlighting digital ecosystems as socio-technical systems capable of regenerative growth. It advances the literature by demonstrating that sustainability in platforms is not an external add-on but an inherent strategic orientation.

Practically, the findings guide managers and policymakers in designing digital ecosystems that align innovation incentives with long-term societal goals. For businesses, this means prioritising circular operations, ethical data use, and inclusive participation. For governments, it implies developing agile regulatory frameworks that balance innovation with accountability (OECD, 2021).

Overall, digital platforms, when ethically governed and inclusively designed, represent a paradigm shift from extractive capitalism to regenerative digital economies.

6. Conclusion and Recommendations

6.1 Conclusion

This study concludes that digital platforms serve as strategic enablers of sustainable growth, blending technological innovation with ethical and inclusive governance. Through their scalable, data-driven architectures, platforms can amplify environmental efficiency, social equity, and economic resilience. The findings indicate that sustainability is not peripheral to platform strategy but embedded within its value creation logic. Firms that operationalise sustainability as a strategic priority—rather than a marketing narrative—achieve durable competitive advantage and societal legitimacy.

6.2 Recommendations

Based on the findings, several recommendations emerge:

• For Businesses: Integrate sustainability into core digital strategies, adopt transparent governance, and utilise data responsibly to enhance trust and long-term growth.
• For Policymakers: Implement adaptive regulatory frameworks that encourage ethical innovation while protecting public interests and digital rights.
• For Researchers: Future studies should explore quantitative models of platform sustainability, cross-sectoral comparisons, and longitudinal impacts of digital ecosystem governance.

In essence, digital platforms embody the potential to transform capitalism into a more inclusive, transparent, and sustainable system—provided their growth is strategically aligned with ethical and environmental imperatives.

References

Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120.

Bocken, N. M. P., Short, S. W., Rana, P., & Evans, S. (2014). A literature and practice review to develop sustainable business model archetypes. Journal of Cleaner Production, 65, 42–56. https://doi.org/10.1016/j.jclepro.2013.11.039

Bocken, N. M. P., Boons, F., & Baldassarre, B. (2019). Sustainable business model innovation: Exploring strategies for sustainability. Journal of Cleaner Production, 208(1), 485–498.

Braun, V., & Clarke, V. (2019). Reflecting on reflexive thematic analysis. Qualitative Research in Sport, Exercise and Health, 11(4), 589–597.

Brennen, S., & Kreiss, D. (2016). Digitalization. The International Encyclopedia of Communication Theory and Philosophy, 1–11.

Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry and research design: Choosing among five approaches (4th ed.). Sage.

Chesbrough, H. (2020). To recover faster from COVID-19, open up: Managerial implications from an open innovation perspective. Industrial Marketing Management, 88, 410–413.

Constantinides, P., Henfridsson, O., & Parker, G. (2018). Platforms and infrastructures in the digital age. Information Systems Research, 29(2), 381–400.

Denzin, N. K., & Lincoln, Y. S. (2017). The Sage handbook of qualitative research (5th ed.). Sage.

Elkington, J. (1998). Cannibals with forks: The triple bottom line of 21st century business. Capstone.

Evans, D. S., & Schmalensee, R. (2016). Matchmakers: The new economics of multisided platforms. Harvard Business Review Press.

Flick, U. (2018). An introduction to qualitative research (6th ed.). Sage.

Floridi, L. (2020). The logic of information: A theory of philosophy as conceptual design. Oxford University Press.

Freeman, R. E. (1984). Strategic management: A stakeholder approach. Pitman.

Freeman, R. E., Martin, K., & Parmar, B. (2020). Stakeholder capitalism: A system for sustainable value creation. Cambridge University Press.

Geissdoerfer, M., Savaget, P., Bocken, N. M. P., & Hultink, E. J. (2017). The circular economy–A new sustainability paradigm? Journal of Cleaner Production, 143, 757–768.

Graham, M., Hjorth, I., & Lehdonvirta, V. (2019). Digital labour and development: Impacts of global digital labour platforms. Development and Change, 50(2), 317–340.

Kenney, M., & Zysman, J. (2020). The platform economy: Restructuring industries and work in the digital age. Socio-Economic Review, 18(3), 625–652.

Kozinets, R. V. (2020). Netnography: The essential guide to qualitative social media research (3rd ed.). Sage.

Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. Sage.

Meadows, D. (2008). Thinking in systems: A primer. Chelsea Green.

OECD. (2021). Digital transformation and the state of sustainable development. OECD Publishing.

Parker, G. G., Van Alstyne, M. W., & Choudary, S. P. (2016). Platform revolution: How networked markets are transforming the economy—and how to make them work for you. W. W. Norton.

Porter, M. E., & Kramer, M. R. (2019). Creating shared value. Harvard Business Review, 89(1/2), 62–77.

Resnik, D. B. (2020). Ethics of science: An introduction. Routledge.

Rochet, J. C., & Tirole, J. (2006). Two-sided markets: A progress report. RAND Journal of Economics, 37(3), 645–667.

Scott, W. R. (2014). Institutions and organisations: Ideas, interests, and identities. Sage.

Srnicek, N. (2017). Platform capitalism. Polity.

Teece, D. J. (2018). Dynamic capabilities as a (workable) management systems theory. Journal of Management & Organisation, 24(3), 359–368.

United Nations. (2015). Transforming our world: The 2030 agenda for sustainable development. UN Publishing.

Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). Sage.