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From Digital Capabilities to Non Linear Growth: The Exponential SME Framework

Dhushy Thillaivasan, Kristina Nicholls, Sathyapriya Govindarajulu, Ken Mardaneh

arXiv:2610.01129v1cs.CY

TL;DR

SMEs face pressure to navigate digital transformation, while research has not fully explained how capabilities, practices, organisational change, and ExO-like attributes combine in relation to growth. The paper develops an integrated conceptual framework linking these elements and proposes that they may contribute to non-linear growth potential. The framework remains a synthesis rather than a tested causal account.

  • Problem

    Research has largely examined SME digital capabilities, transformation practices, organisational change, ExO-like attributes, and growth separately, leaving their combined relationship to growth potential unclear.

    Source: §1 · p. 5, §3 · p. 22

  • Method

    The paper synthesises literature into the Exponential SME Framework, linking digital capabilities, transformation practices, organisational domains, ExO-like attributes, and growth potential.

    Source: §2.1 · p. 8, §7 · pp. 38–39

  • Results

    The framework proposes that digital capabilities, practices, organisational transformation, and ExO-like attributes may collectively contribute to SMEs’ non-linear growth potential.

    Source: §7 · pp. 38–39

  • Takeaways & Limitations

    The framework offers an integrated conceptual structure and a basis for future empirical examination of the proposed relationships.

    Source: §6.1 · p. 35, §7 · p. 39

    The framework has not been examined holistically and is a synthesis of existing knowledge rather than a causal theory of SME digital transformation and growth.

    Source: §3 · p. 23, §6.1 · p. 35

Abstract

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Small and medium-sized enterprises (SMEs) face increasing pressure to navigate digital transformation, yet many struggle to convert digital initiatives into sustainable organisational capability development and growth outcomes. This paper develops the Exponential SME Framework, an integrated conceptual framework that explains how SMEs may progress from digital capability development to non-linear growth potential. Drawing on literature relating to Digital Dynamic Capabilities (DDC), digital transformation practices, organisational transformation, Exponential Organization (ExO) attributes, and SME growth, the framework synthesises previously fragmented streams of research into a coherent conceptual structure. The framework proposes that Digital Dynamic Capabilities provide the foundation for Digital Transformation Practices (DASAT), which contribute to transformations across key organisational domains, including business models, value chains, customer relationships, and organisational culture. These transformations may support the adoption of ExO-like attributes, specifically experimentation, dashboards, autonomy, and community engagement, that enhance organisational adaptability, learning, and responsiveness. Through the interaction of these organisational elements, SMEs may strengthen the conditions associated with non-linear growth potential. The paper contributes to the SME and digital transformation literature by integrating multiple streams of research into a unified framework, clarifying the relationships between capabilities, practices, organisational transformation, and growth-enabling mechanisms, and providing a foundation for future empirical research. The paper also offers managerial and policy implications for strengthening SME digital transformation and growth readiness.

1. Introduction

SMEs face growing pressure to adapt to digital change, while research has largely treated capabilities, transformation practices, organisational change, ExO-like attributes, and growth separately. The paper proposes an integrated framework for how these elements may relate to SMEs’ non-linear growth potential.

1. Introduction

  • SMEs often lack the resources and expertise of larger organisations, so their digital transformation tends to proceed through experimentation, learning-by-doing, and incremental adaptation.Rapid technological change, shifting customer expectations, competition, and digital disruption intensify the pressure to adapt.Source: §1 · p. 3
  • Research has rarely examined how digital capabilities, transformation practices, organisational change, and ExO-like attributes interact in shaping SMEs’ non-linear growth potential.The paper identifies this fragmentation as the need for an integrated framework explaining the path from capability development to growth-enhancing transformation.Source: §1 · p. 5
  • The Exponential SME Framework synthesises literature on digital capabilities, transformation practices, organisational domains, ExO-like attributes, and SME growth.It explains how these elements may collectively contribute to non-linear growth potential and identifies relationships for future empirical investigation.Source: §1 · pp. 5–6
  • The paper asks how SMEs progress from digital capability development to non-linear growth through digital transformation.Its framework is presented as a response to pressures on SMEs to adapt operations, business models, and value creation mechanisms.Source: §1 · pp. 3, 6

2. Theoretical Background

The theoretical background brings separate research streams into a proposed transformation pathway: digital capabilities support practices, which reshape organisational domains and may support growth-enabling mechanisms. DASAT names the practices through which capabilities are enacted.

2. Theoretical Background

  • The paper argues that a structured synthesis is needed because research on capabilities, practices, organisational change, ExO-like mechanisms, and SME growth has rarely been integrated.The proposed pathway links capabilities to practices, practices to domain change, and transformed domains to mechanisms associated with non-linear growth.Source: §2 · p. 7

2.1 Digital Dynamic Capabilities (DDC)

  • Digital Dynamic Capabilities (DDC) provide the underlying capacity for SMEs to sense digital opportunities, seize initiatives, and reconfigure resources and processes.In the proposed pathway, DDC enable DASAT practices; without sufficient DDC, transformation may remain ad hoc rather than strategic and integrated.Source: §2.1 · pp. 7–8

2.2 Digital Transformation Practices (DASAT)

  • DASAT—Digital Awareness, Digital Strategy, Digital Adoption, and Continuous Improvement—captures the principal practices through which digital transformation is enacted in SMEs.The paper proposes DASAT as a synthesis of practices discussed separately in the literature.Source: §2.2 · pp. 8–9

The DASAT Cycle

  • DASAT represents the practical expression of DDC, turning underlying capabilities into actions that bridge capability development and organisational domain transformation.Continuous Improvement is described as iterative refinement of digital processes, routines, and capabilities rather than a finite transformation endpoint.Source: The DASAT Cycle · pp. 11–12

2.3 Organisational Domain Transformation

Organisational domain transformation is the proposed layer connecting digital transformation practices with ExO-like attributes. It encompasses changes to the firm’s business model, value chain, customer relationships, and culture.

2.3 Organisational Domain Transformation

  • Digital transformation involves systemic reconfiguration across business models, value chains, customer engagement, and organisational culture, not technology adoption alone.The depth of change across these domains distinguishes incremental gains from substantive strategic renewal.Source: §2.3 · p. 12, The Four Organisational Domains of… · p. 14

The Four Organisational Domains of Digital Transformation

  • Business model transformation redefines how a firm creates and captures value through digital integration, including new revenue streams, digital services, platform participation, and data-driven propositions.For SMEs, digital technologies can support scalability and global customer reach despite resource scarcity.Source: The Four Organisational Domains of… · p. 13
  • Value chain transformation digitally integrates internal and external processes across procurement, production, logistics, and partner coordination.The passage describes digitalising the value chain as a prerequisite for transparency, agility, and effective ecosystem collaboration.Source: The Four Organisational Domains of… · pp. 13–14
  • Customer relationship transformation uses digital channels, CRM systems, and analytics to deepen engagement and tailor service to customer needs.This can turn SMEs’ relational proximity and personalised service into digitally enabled competitive assets.Source: The Four Organisational Domains of… · p. 14
  • The four domains form the central organisational layer linking DASAT with ExO-like attribute adoption and conditions associated with adaptability, responsiveness, and non-linear growth potential.Cultural transformation involves norms and behaviours supporting digital work, including experimentation, openness, collaboration, and data-driven decisions.Source: The Four Organisational Domains of… · pp. 14–15

2.4 ExO-like Attribute Adoption

The framework selects four ExO-like attributes as feasible mechanisms for SMEs rather than proposing adoption of the full ExO model. These attributes are positioned downstream of organisational domain transformation and may support adaptability, learning, and responsiveness.

2.4 ExO-like Attribute Adoption

  • SMEs may selectively adopt ExO-inspired mechanisms, since many of the eleven ExO attributes presume platform architectures, large user bases, or venture-scale resources.The selected attributes are experimentation, dashboards, autonomy, and community engagement, chosen for SME feasibility and fit with the proposed transformation pathway.Source: §2.4 · p. 15, The Exponential Organization (ExO)… · pp. 16–17

The Exponential Organization (ExO) Framework and Its Eleven Attributes

  • The four selected attributes do not require platform scale or algorithmic infrastructure and may enhance organisational adaptability and learning.They are proposed as mechanisms through which transformed organisational domains may contribute to agility, responsiveness, and non-linear growth potential.Source: The Exponential Organization (ExO)… · p. 17
  • Experimentation uses rapid, low-cost trials and iterative learning to explore ideas and reduce market uncertainty.The passage notes that effective experimentation also requires norms that tolerate risk and digitalised processes for rapid, data-informed iterations.Source: The Exponential Organization (ExO)… · p. 18
  • Dashboards provide centralised real-time metrics for decisions, but become strategic assets only after core processes are digitalised and evidence-led culture is fostered.Without that foundation, dashboards risk becoming vanity metrics rather than drivers of agility.Source: The Exponential Organization (ExO)… · p. 18
  • Autonomy decentralises decisions and empowers teams to act without constant top-down intervention, while community engagement uses external networks to co-create value and access knowledge.Community engagement acts as a force multiplier only when business models and customer relationship domains have already undergone digital transformation.Source: The Exponential Organization (ExO)… · pp. 18–19
  • ExO-like attributes are downstream mechanisms that require prior transformation across business models, value chains, customer relationships, and organisational culture.Once adopted, they are proposed to enhance agility and responsiveness, contributing to the firm’s potential for non-linear growth.Source: The Exponential Organization (ExO)… · p. 19

2.5 Non-linear Growth Potential

Non-linear growth denotes disproportionate performance improvement beyond what incremental resource accumulation or gradual operational change would predict. For SMEs, it can mean step-change value creation and performance without requiring platform-firm scale.

2.5 Non-linear Growth Potential

  • Non-linear growth is a disproportionate improvement in organisational performance beyond incremental resource accumulation or gradual operational gains.The concept is associated with step-change outcomes from innovation, strategic renewal, organisational reconfiguration, or new value-generating mechanisms.Source: §2.5 · p. 19
  • Step-change outcomes may arise through innovation, strategic renewal, organisational reconfiguration, or new value-generating mechanisms.Source: §2.5 · p. 19
  • Unlike linear growth, SME non-linear growth can mean greater value creation, competitiveness, and performance relative to existing resources, without platform-firm scaling.Figure #4 illustrates the contrast between linear trajectories and more accelerated non-linear performance patterns.Source: §2.5 · p. 20

Figure #4

The section frames SME growth as potentially episodic and shaped by organisational adaptation, rather than as predictable linear resource accumulation. It positions non-linear growth potential as contingent on complementary transformations and mechanisms.

Linear and Non-linear Growth Pattern

  • Growth trajectories may involve acceleration, consolidation, renewal, and temporary stagnation rather than predictable linear progression.Adaptation, resource reconfiguration, and environmental response shape growth alongside resource accumulation.Source: Linear and Non-linear Growth Pattern · pp. 20–21
  • Digital technologies may support non-linear growth by reducing transaction costs, expanding market access, and enhancing agility, but technology alone is insufficient.SMEs also require changes to business models, value chains, customer engagement, and cultural norms to translate investment into meaningful growth outcomes.Source: Linear and Non-linear Growth Pattern · p. 21
  • For SMEs, growth potential is linked to innovation, experimentation, rapid adaptation, learning, and digitally enabled responsiveness rather than physical scale alone.Source: Linear and Non-linear Growth Pattern · p. 21
  • Non-linear growth potential is an emergent outcome of aligned capabilities, practices, domain transformations, and ExO-like mechanisms, not a guaranteed result.Experimentation, dashboards, autonomy, and community engagement may amplify transformation by supporting faster innovation, better decisions, and resource mobilisation.Source: Linear and Non-linear Growth Pattern · pp. 21–22

3. The Exponential SME Framework

The Exponential SME Framework integrates fragmented research to describe a conceptually ordered, non-deterministic pathway from digital capabilities and practices through organisational transformation to growth-enabling mechanisms. Its relationships are proposed as a synthesis of literature, not a causal theory.

3. The Exponential SME Framework

  • The framework addresses limited understanding of how separate research streams collectively relate to digitally enabled SME growth by integrating them into a holistic structure.It is a synthesis of existing knowledge, not a deterministic, universally applicable sequence or causal theory.Source: §3 · pp. 22–23

3.1 Digital Dynamic Capabilities and Digital Transformation Practices (DASAT)

  • Digital Dynamic Capabilities provide the foundation for enacting DASAT practices within SMEs.DASAT comprises Digital Awareness, Digital Strategy, Digital Adoption, and Continuous Improvement; these practices turn digital intent into organisational action.Source: §3.1 · p. 23

3.2 Digital Transformation Practices and Organisational Domain Transformation

  • DASAT practices may contribute to transformation across business models, value chains, customer relationships, and organisational culture.Awareness recognises opportunities, strategy aligns initiatives, adoption embeds technologies and processes, and continuous improvement supports adaptation and learning.Source: §3.2 · p. 24

3.3 Organisational Domain Transformation and ExO-like Attribute Adoption

  • Organisational domain transformation provides the context in which ExO-like attributes may become feasible and effective.The proposed links include business-model change with experimentation, digitalised value chains with dashboards, customer relationship change with community engagement, and cultural change with autonomy and experimentation.Source: §3.3 · pp. 24–25

3.4 ExO-like Attribute Adoption to Non-linear Growth Potential

  • Experimentation, dashboards, autonomy, and community engagement may strengthen conditions associated with non-linear growth, rather than directly drive growth.The attributes are associated with adaptability, learning, and responsiveness; they may improve innovation, decision quality, response speed, and access to external resources.Source: §3.4 · p. 25

3.5 The Exponential SME Framework

  • The framework positions non-linear growth potential as an emergent result of interacting capabilities, practices, domain transformations, and growth-enabling mechanisms.Figure #5 visually represents the synthesised relationships.Source: §3.5 · p. 26

The Exponential SME Framework

4. Discussion

The discussion presents the Exponential SME Framework as an integrative lens for understanding how organisational elements may interact in SME digital transformation. It links those interactions to growth potential while retaining a conceptual, non-uniform account rather than claiming deterministic outcomes.

4. Discussion

  • The framework addresses the gap in integrated explanations of how capabilities, practices, organisational transformation, and growth-enabling mechanisms may jointly contribute to SME non-linear growth potential.It synthesises literature on DDC, DASAT, organisational domain transformation, ExO-like attributes, and non-linear growth potential.Source: §4 · pp. 27–28

4.1 Integrating Fragmented Literature Streams

  • The framework connects research streams often examined separately and proposes that capabilities, practices, organisational change, and ExO-like attributes operate as interconnected components.It offers an integrative lens and a foundation for future empirical investigation and theory development, rather than a new theory of digital transformation.Source: §4.1 · pp. 28–29, §4 · p. 28

4.2 Clarifying Relationships Within SME Digital Transformation

  • The proposed sequence links DDC to transformation practices, domain changes, and conditions supporting experimentation, dashboards, autonomy, and community engagement.The framework does not imply uniform or linear transformation across SMEs; it describes a conceptually ordered structure in which elements may reinforce one another.Source: §4.2 · p. 29

4.3 Reframing SME Digital Transformation Through an Organisational Lens

  • The framework shifts attention from technology adoption alone to capabilities, practices, structures, cultural change, and growth-enabling mechanisms as complementary dimensions.It frames transformation as a multifaceted organisational process involving learning, adaptation, strategic alignment, and organisational renewal.Source: §4.3 · pp. 29–30

4.4 Implications for Understanding SME Growth

  • Non-linear growth potential may emerge when capabilities, transformation practices, organisational transformation, and ExO-like attributes reinforce one another.This links potential disproportionate performance improvements to organisational processes, without requiring the scale and resources of larger organisations.Source: §4.4 · pp. 30–31

4.5 Implications for Research, Practice, and Policy

  • Researchers can examine relationships and boundary conditions, while managers and policymakers are urged to address organisational capabilities and change alongside technology adoption.Future studies may compare pathways across industries, contexts, and digital maturity; SME support may also strengthen managerial capability, experimentation, learning, and ecosystem participation.Source: §4.5 · p. 31

5. Managerial and Policy Implications

The framework’s implications focus on aligning SME capabilities, transformation practices, organisational change, and ExO-like attributes. Policy support should build these foundations and be tailored to firms’ transformation maturity.

5. Managerial and Policy Implications

  • The framework identifies intervention, investment, and support-program opportunities by linking capabilities, transformation practices, organisational change, and growth-enabling mechanisms.It presents these as actionable insights for SME leaders and policymakers seeking to strengthen transformation outcomes and non-linear growth potential.Source: §5 · p. 32

5.1.1 Strengthening Digital Dynamic Capabilities as a Strategic Priority; 5.2.1 Building SME Digital Capability Foundations

  • SME leaders should build Digital Dynamic Capabilities through digital literacy, environmental scanning, and strategic evaluation of digital opportunities.Policymakers are also urged to support leadership development and strategic capability building, prioritising these foundations over technology subsidies lacking strategic alignment.Source: §5.1.1 · p. 32, §5.2.1 · pp. 33–34

5.1.2 Institutionalising Structured Digital Transformation Practices (DASAT); 5.2.2 Supporting Structured Transformation Practices

  • Managers should institutionalise DASAT as repeatable routines, while policymakers can support structured practices with frameworks, diagnostic tools, and advisory services.The practices include digital awareness, strategy, adoption, and continuous improvement.Source: §5.1.2 · p. 32, §5.2.2 · p. 34

5.1.3 Focusing on Domain-Level Transformation, Not Just Technology Adoption

  • Evaluate digital initiatives by their potential to transform business models, value chains, customer relationships, and organisational culture, not by technological sophistication alone.Possible changes include redesigning value propositions, digitising core processes, and supporting experimentation and data-informed decisions.Source: §5.1.3 · p. 33

5.1.4 Creating the Conditions for ExO-like Attributes to Flourish; 5.2.3 Investing in Digital Infrastructure and Data Accessibility

  • ExO-like attributes require aligned data infrastructure, governance, and culture; reliable infrastructure and accessible data are particularly important for dashboards and autonomy.The passage also links decentralised autonomy to clear decision rights and trust-based leadership, and experimentation to psychological safety and tolerance for failure.Source: §5.1.4 · p. 33, §5.2.3 · p. 34

5.1.5 Leveraging External Communities for Scalable Growth; 5.2.4 Encouraging Ecosystem-Based Innovation and Community Engagement

  • Community engagement can provide access to knowledge, resources, and markets, supporting co-creation and shared value without proportional growth in internal resources.Policy can foster this engagement through collaboration among SMEs, universities, industry associations, and innovation hubs, as well as open innovation and ecosystem partnerships.Source: §5.1.5 · p. 33, §5.2.4 · p. 34

5.2.5 Designing Stage-Appropriate Support Programs

  • Policy interventions should match firms’ digital transformation maturity, from capability development and strategic guidance for early-stage firms to experimentation, analytics, or ecosystem integration for advanced firms.The framework presents stage-appropriate support as a way to increase the likelihood of successful transformation and reduce wasted resources.Source: §5.2.5 · p. 34

6. Future Research Directions

The future research agenda calls for holistic empirical testing of the framework, investigation of its boundary conditions and attribute micro-foundations, and stronger measurement of non-linear growth. Comparative and policy-focused research could clarify where its relationships apply and how external environments shape them.

6.1 Empirical Examination of the Exponential SME Framework

  • The integrated relationships among DDC, DASAT, domain transformation, ExO-like attributes, and non-linear growth potential have not yet been examined holistically.Longitudinal, structural equation, cross-lagged panel, and mixed-methods studies could clarify the relationships’ nature, strength, and contextual variation.Source: §6.1 · p. 35

6.2 Exploring Boundary Conditions and Moderators

  • Because the framework generalises SME transformation, research should test how industry turbulence, resource constraints, leadership digital orientation, and firm age or growth stage shape its relationships.Understanding these influences could refine the framework and identify circumstances in which transformation accelerates, stalls, or follows alternative trajectories.Source: §6.2 · p. 36

6.3 Micro-Foundations of ExO-like Attribute Adoption

  • Research should investigate the underexplored organisational micro-foundations supporting experimentation, autonomy, dashboards, and community engagement.Suggested approaches include qualitative studies, ethnography, and in-depth case research into behavioural, cultural, and organisational dynamics.Source: §6.3 · p. 36

6.4 Measuring Non-linear Growth Potential

  • Non-linear growth potential is difficult to operationalise and measure, motivating development and validation of robust metrics.Such measures could strengthen empirical research and conceptual clarity in SME growth research.Source: §6.4 · p. 37

6.5 Comparative Studies Across Firm Sizes and Ecosystems

  • Comparisons across organisational contexts could identify which framework relationships are SME-specific and which may apply more broadly.The framework is designed specifically for SMEs, and the proposed comparisons include firms embedded in innovation ecosystems.Source: §6.5 · p. 37

6.6 Policy and Ecosystem-Level Research

  • Policy and ecosystem research could examine how infrastructure, capability-building interventions, and intermediary organisations affect SME transformation and growth.The questions include the roles of regional digital infrastructure, policy support for DDC, and innovation hubs, accelerators, universities, and industry associations in experimentation and community engagement.Source: §6.6 · p. 38

7. Conclusion

The paper presents the Exponential SME Framework as an integrated conceptual account of how digital capabilities, practices, organisational transformation, and ExO-like attributes may relate to SME non-linear growth potential. It reframes transformation as a multi-layered organisational process and offers a foundation for practice, policy, and future empirical research.

7. Conclusion

  • The Exponential SME Framework synthesises literature on DDC, digital transformation, organisational transformation, ExO research, and SME growth to explain how these elements may collectively contribute to non-linear growth potential.The framework also presents a holistic perspective on strengthening organisational adaptability and growth readiness.Source: §7 · p. 38
  • The framework integrates previously fragmented research streams into a coherent structure connecting capabilities, practices, organisational change, and growth-enabling mechanisms.It frames SME digital transformation as a multi-layered organisational phenomenon involving interactions among these elements.Source: §7 · p. 39
  • The framework treats non-linear growth potential as an emergent organisational outcome of complementary elements, rather than a direct outcome of technology adoption alone.These elements include digital capabilities, structured transformation practices, changes to core organisational domains, and attributes supporting agility, learning, experimentation, and external engagement.Source: §7 · p. 39
  • The framework highlights investments in capability development, structured practices, organisational transformation, and conditions supporting experimentation, autonomy, data-informed decisions, and ecosystem participation.The paper identifies future research on proposed relationships, contextual boundaries, attribute micro-foundations, and measurement of non-linear growth potential.Source: §7 · pp. 39–40

Declaration of generative AI and AI-assisted technologies in the manuscript

The authors report using Microsoft Copilot to refine the manuscript’s language and organisation. They state that it did not generate the intellectual contribution, arguments, or conclusions, and that they reviewed the content and take responsibility for it.

Declaration of generative AI and AI-assisted technologies in the manuscript

  • Microsoft Copilot assisted with language refinement, grammar, clarity, and manuscript organisation.The authors describe its use as improving presentation and readability.Source: preparation process · p. 40
  • The authors state that Copilot was not used to generate the study’s intellectual contribution, theoretical arguments, or conclusions.Source: preparation process · p. 40
  • The authors report critically reviewing, editing, and verifying the content and accepting responsibility for its accuracy, integrity, and originality.Source: preparation process · p. 40
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