The Leaderful Strategy Model: How Digital Tools Translate Relational Leadership into ESG and SDG Outcomes
Abstract
1. Introduction
- RQ1: How does the Leaderful Strategy Model (LSM) explain the translation of relational leadership into Perceived ESG Reporting Effectiveness (PER)?
- RQ2: Through what mechanisms do the Four Cs provide operational scaffolding for formalized sustainability disclosure?
- RQ3: How do digital tools and leaderful practices co-constitute context-sensitive leadership designs for ESG reporting capacities across diverse institutional contexts?
2. Theoretical Framework: Developing the Leaderful Strategy Model
- It conceptualizes the Relational–Performance Gap as an original diagnostic construct, providing a vocabulary for why relationally rich SMEs systematically underperform in formal ESG recognition.
- The Leaderful Strategy Model (LSM) advances prior work by integrating Relational Leadership Theory (diagnostic lens) with Leaderful Practice (prescriptive blueprint) and positioning digital transformation as an active “translation” mechanism rather than a simple statistical moderator.
- By shifting from cultural stereotypes to institutional economics, the study demonstrates context-sensitive pathways for deploying digital tools in structured versus network-based environments, offering practical guidance for SMEs and policymakers alike.
2.1. Relational Leadership Theory (RLT) and the Relational–Performance Gap
- Relational Leadership (RLT): The diagnostic lens—leadership as a socially constructed process emerging through daily interactional work.
- Leaderful Practice (LAP): The prescriptive design—the operational framework of the Four Cs (collective, concurrent, collaborative, compassionate).
- Digital Transformation (DT): The technical infrastructure—the digital tools and platforms (from ERP to WhatsApp) that provide the operational foundation.
- Digital Translation: The conversion mechanism—the organizational process through which DT is intentionally deployed to convert relational practices into formal disclosures.
2.2. Leaderful Practice (LAP) as a Prescriptive Design
- Collectiveness captures the extent to which leadership is shared across organizational members.
- Concurrency highlights the simultaneity of leadership action across various roles and levels.
- Collaboration emphasizes joint sense-making and mutual adjustment in the face of complexity.
- Compassion attends to the relational conditions, such as psychological safety and trust, that enable participation and dignity.
2.3. Digital Transformation (DT) as Operational Scaffolding
2.4. The Leaderful Strategy Model: Translating Leadership into ESG and SDG Evidence
- RLT surfaces and legitimizes sustainability as relational work.
- LAP coordinates that work into collective, concurrent, collaborative, and compassionate action.
- DT scaffolds those actions into shared digital routines.
- This strategic architecture increases the transparency and shared commitment toward ESG and SDG-aligned goals.
- First: While Relational Leadership Theory (RLT) and Leaderful Practice (LAP) have been studied separately, no prior framework has explicitly integrated them with digital transformation to address the SME sustainability reporting challenge.
- Second: Existing leadership-as-practice research focuses on describing how leadership emerges in situ but offers limited guidance on how to intentionally orchestrate emergent practices toward formal organizational outcomes. The LSM provides this missing prescriptive logic.
- Third: While the digital transformation literature examines technology adoption, it rarely considers how digital tools can be intentionally designed to preserve—rather than erode—relational governance. The LSM directly addresses this gap by positioning DT as a “relational amplifier” rather than a neutral tool.
- This integration into a unified framework—with Digital Translation as the bridging mechanism—constitutes the LSM’s core theoretical breakthrough.
Digital Translation as the Conversion Mechanism
3. Materials and Methods
3.1. Mixed-Methods Design: An Explanatory Sequential Approach
3.2. Context and Sample: A Strategic Institutional Comparison
3.3. Quantitative Phase: Instrument Design and Analytical Rigor
3.4. Qualitative Phase: Multiple Case Study Design
3.5. Data Integration, Ethics, and Positionality
4. Results
4.1. Quantitative Findings
4.2. Qualitative Findings: Uncovering the Pathways—Two Models of Digital Enablement
4.2.1. The Cautious-Facilitation Model—Italy
4.2.2. The Pragmatic-Integration Model—Pakistan
4.3. Integrated Insight: Validating the Model
5. Discussion
5.1. Architecting Leadership Bridges from Relational Practice to Sustainable Performance
- RQ1: How does the LSM explain the orchestration of relational leadership into perceived ESG reporting outcomes? Our findings demonstrate that leaderful practices (the Four Cs) serve as the vital translation mechanism. Collective practice distributes ownership for sustainability metrics across organizational levels; concurrent practice enables parallel action on multiple disclosure goals simultaneously; collaborative practice structures ongoing dialogue among diverse internal stakeholders; and compassionate practice centers the psychological safety required for operational transparency. Digital scaffolding then anchors these fluid interactions into shared organizational routines, converting relational work into high PER.
- RQ2: Through what mechanisms do the Four Cs provide the leadership scaffolding required for perceived reporting effectiveness? We identified two empirically distinct mechanisms: formalization through structured platforms (Italy), where integrated digital systems (ERP, Microsoft Teams) create clear internal records of collective action; and capture through ubiquitous tools (Pakistan), where low-cost, consumer-grade software (WhatsApp, Google Sheets) extends and documents existing relational workflows. Both mechanisms achieve equivalent reporting outcomes, confirming structural equifinality.
- RQ3: How do digital tools and leaderful practices co-constitute a leadership design for context-sensitive impact across diverse landscapes? Our cross-national comparison reveals a deeply recursive relationship. Leaderful practices actively shape how digital tools are used: in Italy, collaborative norms led to structured platform adoption; in Pakistan, concurrent practices drove WhatsApp integration. Conversely, digital tools expand the reach and verifiability of leaderful actions: platforms document collective decisions, while messaging apps capture real-time coordination. The two pathways—Cautious Facilitation and Pragmatic Integration—represent institutionally configured expressions of this recursive dynamic.
5.2. Theoretical Contributions to Leadership Studies
5.3. Empirical Nuance: Two Culturally Embedded Blueprints
5.4. Practical Imperatives for SMEs and Policymakers
- Diagnose your relational DNA before selecting tools: Assess your organization’s daily operations through the lens of the Four Cs. Where collective practice is strong, digital tools can formalize shared ownership; where concurrent practice is emergent, real-time communication platforms can enable parallel coordination.
- Frame technology as a leadership amplifier, not an IT driver: Before procurement, ask: “Will this tool help us act more collectively, concurrently, collaboratively, or compassionately on our internal tracking goals?” This shifts the conversation from technical IT specifications to human and relational outcomes.
- Start small and scale organically: The Pakistani model demonstrates that impactful scaffolding can begin with a single, low-cost tool that solves an immediate coordination problem, building confidence for subsequent digital steps.
- Provide context-sensitive SME support infrastructure: In highly structured economies like Italy, assist SMEs in integrating leaderful practices into existing corporate compliance systems. In relational economies like Pakistan, focus on helping SMEs capture and structure the operational data generated through informal trust networks.
- Incentivize the relational process, not just the quantitative output: Regulatory frameworks should focus on how digital tools enhance stakeholder inclusion and operational transparency, rather than evaluating final perceived ESG reporting scores alone. This directly aligns with the double materiality principles emerging in modern international frameworks, such as the Corporate Sustainability Reporting Directive (CSRD) [8].
5.5. Limitations and Future Research
- Sample Demographics and Constraints: While our sample size ($N = 97$) achieved a statistical power of 0.82 for medium effect sizes, it remains moderate. Future research should replicate these findings with larger cohorts and explore the Four Cs as individual predictors rather than a composite measure to identify which specific practices drive distinct perceived reporting dimensions.
- Cross-Sectional Constraints: The cross-sectional nature of the data precludes definitive causal inferences. Longitudinal studies or panel datasets are needed to determine if digital scaffolding causes leaderful practices to scale, or if pre-existing leaderful cultures simply drive superior digital adoption.
- Boundary Conditions: Our focus on publicly listed SMEs ensured access to formalized reporting baselines but represents a specific boundary condition. Future studies should investigate unlisted or micro-SMEs, which may rely on even more frugal configurations. Furthermore, extending this research to collectivist East Asian or Latin American economies would test the cross-cultural universality of our models.
- Construct Depth: A deeper investigation into the “Compassionate C” is warranted. Our qualitative findings suggest compassion is vital for the psychological safety required for sustainability innovation, yet the mechanisms through which compassion is digitally scaffolded remain undertheorized.
- Perceptual and Methodological Bias: The reliance on self-reported survey items introduces potential Common Method Bias (CMB), as both independent and dependent variables were collected from the same respondents at a single point in time. We assessed the severity of CMB using Harman’s single-factor test, which yielded a total variance of 28.3% for the single factor—well below the 50% threshold, suggesting that CMB is not a pervasive threat to the validity of our findings. However, self-reported perceptions of ESG reporting effectiveness may not perfectly align with objectively verified sustainability performance metrics, such as audited carbon footprints or third-party ESG ratings. While our perceptual measure is appropriate for the SME context—where formal verification is often absent or prohibitively costly—we acknowledge this limitation and encourage future research to validate perceptual findings against objective sustainability indices, where available. Additionally, future studies could employ temporal separation of predictor and outcome variables, or marker variable techniques, to more rigorously control for CMB.
- Non-Response Bias: Non-response bias may affect the generalizability of our findings. The response rates (34.1% for Italy, 39.7% for Pakistan) are consistent with SME survey research norms, but firms that chose to participate may differ systematically from non-respondents, particularly regarding digital maturity or sustainability orientation. Future studies should employ follow-up surveys or archival data to assess non-response patterns.
- Subjective Measurement Scope: The subjective nature of our PER measure warrants explicit consideration. While standardized ESG frameworks (e.g., GRI, SASB) are designed for large corporations and fail to capture the informal relational strengths of SMEs, our perceptual measure captures internal and operational reporting capacities rather than externally verified outcomes. This is appropriate for the SME context but limits comparability with studies using objective disclosure indices. We encourage future research to validate perceptual findings against third-party sustainability ratings where available.
- Measurement Validation Constraints. While our scales demonstrated strong internal consistency (Cronbach’s α = 0.85–0.92), we acknowledge that the moderate sample size (N = 97) limited our ability to conduct confirmatory factor analysis, which would provide more rigorous evidence of construct validity. However, the strong reliability coefficients, meaningful correlation patterns, and triangulation with rich qualitative data provide confidence in the measurement validity. Future research with larger samples should validate the factorial structure of the RLEP, LDEP, and PER scales through CFA to further establish their psychometric properties across diverse institutional contexts [33].
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| RLEP | Relational Leaderful Practices & ESG Performance |
| LAP | Leaderful Practices |
| LDEP | Leadership-Driven ESG Performance |
| SR | Sustainable Reporting/Performance |
Appendix A
Appendix A.1. Survey Instrument and Measurement Scales
| Construct (Variable Name) | Item ID | Measurement Item | Scale Anchors |
|---|---|---|---|
| Relational Leaderful Practices and ESG Performance (RLEP) | RLEP1 | Extent to which the leader promotes shared responsibility and collaboration for ESG. | 1 (Not at all)–5 (To a considerable extent) |
| RLEP2 | Frequency of cross-team collaboration to achieve ESG performance. | 1 (Never)–5 (Very Often) | |
| RLEP3 | Extent to which employees feel collectively responsible for ESG. | 1 (Not responsible)–5 (Very responsible) | |
| RLEP4 | Level of employee contribution to ESG-related decision-making. | 1 (Never)–5 (Very actively) | |
| Leadership-Driven Digital Transformation and ESG Perceptions (LDEP) | LDEP1 | Frequency of digital tool usage (IoT, AI, etc.) for monitoring/reporting ESG. | 1 (Never)–5 (Very frequently) |
| LDEP2 | Effectiveness of digital tools in tracking and reporting ESG progress. | 1 (Not effective)–5 (Very effective) | |
| LDEP3 | Extent to which digital communication tools (Teams, WhatsApp, etc.) support motivation for ESG. | 1 (Never)–5 (Very frequently) | |
| LDEP4 | Use of digital tools to manage real-time dialogue aimed at ESG performance. | 1 (Never)–5 (Very frequently) | |
| Perceived ESG Reporting Effectiveness (PER) (SR) | SR1 | Rating of firm’s environmental measures (waste, energy, water). | 1 (Poor)–5 (Excellent) |
| SR2 | Rating of firm’s social performance (well-being, human rights). | 1 (Poor)–5 (Excellent) | |
| SR3 | Rating of firm’s governance (transparency, responsible culture). | 1 (Poor)–5 (Excellent) | |
| SR4 | Level of engagement in implementing UN Agenda 2030 SDGs. | 1 (Not engaged)–5 (Very engaged) |
Appendix A.2. Qualitative Interview Guide (Case Study Phase)
- How is collaboration between different teams encouraged to achieve sustainability goals? (e.g., methods, tools, or digital platforms used).
- How are employees involved in the decision-making process regarding sustainability initiatives? (e.g., feedback mechanisms or town halls).
- Can you provide an example of how relationships based on collaboration, empathy, or collective responsibility led to a positive sustainability outcome?
- How practical are the digital tools used by your company (e.g., dashboards, BI software) in tracking and reporting sustainability efforts?
- How do digital communication tools (e.g., Microsoft Teams, WhatsApp) contribute to achieving goals and fostering real-time dialogue?
- Can you provide an example where a digital tool allowed a junior employee to surface a sustainability idea that was then acted upon by the team?
- What challenges or barriers (e.g., skills, culture, cost) does your company face in using digital tools for sustainable performance?
- What specific methods or tools does your company use to measure progress toward the SDGs?
- How is sustainability reporting used to share achievements with the team and improve internal alignment?
- How does management ensure that ESG efforts are not just compliant, but aligned with the UN Agenda 2030?
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| Construct | Definition | Function in the Model |
|---|---|---|
| Relational Leadership (RLT) | Leadership as a socially constructed process emerging through daily interactional work | Provides the diagnostic lens—surfaces and legitimizes relational work |
| Leaderful Practice (LAP) | The operational framework of the Four Cs (collective, concurrent, collaborative, compassionate) | Provides the prescriptive design—organizes relational energy into coordinated action |
| Digital Transformation (DT) | Integration of digital technologies (ERP, WhatsApp, cloud documents) into organizational processes | Provides the technical infrastructure—the “scaffold” and “relational amplifier” |
| Digital Translation | The organizational process through which DT is intentionally deployed to convert relational practices into formal disclosures. | Provides the conversion mechanism—the bridge between informal relationality and formal accountability. |
| Leadership Scaffolding | The combined infrastructure (digital tools, processes, norms) that enables leaderful practices to scale | The enabling architecture—what makes the Four Cs organizationally sustainable. |
| Quantitative Pattern (Phase 1) | Qualitative Sampling Strategy (Phase 2) | Case Rationale | Resulting Qualitative Insight |
|---|---|---|---|
| Italian SMEs scored higher on structured LDEP but showed similar Perceived ESG Reporting Effectiveness (PER) outcomes to Pakistan (t-test non-significant). | Selected Italian SMEs representing “High-Structured Adoption” (n = 4). | Firms with formal ERP/Teams systems and board-led digital strategy. | Cautious-Facilitation Model: Digital tools formalize collaboration within existing top-down frameworks, supporting relational practices through structured platforms. |
| Pakistani SMEs scored lower on formal LDEP but showed high relational agility (as indicated by LAP scores). | Selected Pakistani SMEs representing “High-Informal Adoption” (n = 4). | Firms using low-cost tools (WhatsApp, cloud sheets) for real-time coordination. | Pragmatic-Integration Model: Tools are organically embedded into workflows, scaling concurrent leadership and overcoming institutional constraints. |
| Leadership-driven digital transformation (LDEP) was the strongest predictor of PER across both cohorts (beta_Italy = 0.608, beta_Pakistan = 0.595, p < 0.001). Relational Leadership (RLEP) is significant in Italy (beta = 0.375, p < 0.001), while in Pakistan the relationship is fully channelled through digital transformation (beta = 0.177, n.s.). | Selected matched pairs with similar Leaderful Practice (LAP) scores but divergent digital profiles. | Enables cross-context comparison of how similar leaderful practices interact with different digital tools. | Confirms that Leaderful Practice drives PER outcomes regardless of tool formality, but the pathway differs by institutional context. |
| t-tests show no significant difference in PER outcomes between Italy and Pakistan (equifinality). | Purposively sampled high-PER and low-PER performers within each cohort. | Explores why similar outcomes emerge from different configurations. | Validates that multiple digital-relational configurations can achieve equivalent perceived reporting impact, supporting the equifinality principle. |
| Relationship | Pakistan (n = 54) | Italy (n = 43) |
|---|---|---|
| RLEP ↔ LDEP | 0.670 ** | 0.602 ** |
| RLEP ↔ PER | 0.576 ** | 0.741 ** |
| LDEP ↔ PER | 0.713 ** | 0.834 ** |
| Variable | Pakistan (n = 54) | Italy (n = 43) | Comparative Insight | ||
|---|---|---|---|---|---|
| B | β | B | β | ||
| Constant | 11.735 | — | 0.062 | — | Different baseline levels across institutional contexts |
| RLEP | 0.121 | 0.177 | 0.339 | 0.375 | Direct effect significant only in Italy |
| LDEP | 0.664 | 0.595 *** | 0.806 | 0.608 *** | Strong positive predictor in both cohorts |
| R-squared | 0.526 | 0.786 | Higher explanatory power in Italy | ||
| Adjusted R-squared | 0.508 | 0.775 | — | ||
| F-statistic | 28.346 *** | 73.272 *** | Both models statistically significant | ||
| Variable | Pakistan (n = 54) | Italy (n = 43) | Statistical Comparison | Effect Size | Cohen’s d |
|---|---|---|---|---|---|
| M (SD) | M (SD) | t | p | ||
| RLEP | 47.53 (9.39) | 44.79 (10.92) | 1.33 | 0.187 | 0.27 |
| LDEP | 21.42 (5.75) | 18.83 (7.43) | 1.93 | 0.056 | 0.47 |
| PER | 31.74 (6.42) | 30.41 (9.86) | 0.79 | 0.428 | 0.04 |
| Feature | Cautious-Facilitation Model (Italy) | Pragmatic-Integration Model (Pakistan) |
|---|---|---|
| Primary Logic | Structured/Top-Down System Design | Organic/Bottom-Up Process Integration |
| Digital Infrastructure | Formal Platforms (ERP, Microsoft Teams) | Ubiquitous Tools (WhatsApp, Google Sheets) |
| Relational Focus | Formalizing existing collaborative norms | Scaling and documenting informal trust |
| Role of Technology | Facilitative Scaffolding: Provides a new, explicit architecture for coordination. | Integrative Scaffolding: Seamlessly weaves into current relational workflows. |
| Sustainability Pathway | Compliance-led, systematic documentation | Needs-based, real-time tracking and “storytelling” |
| Strategic Outcome | Equifinality: High PER through formalized data trails. | Equifinality: High PER through captured relational agility. |
| Representative Quotation | “Sharing the sustainability plan via an internal digital platform. KPIs are analyzed through periodic meetings”. | “We do not ‘implement’ digital tools. We use what works … WhatsApp makes it faster and lets us keep an ongoing record”. |
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Naseem, A.; Franzoni, S.; Palermo, O. The Leaderful Strategy Model: How Digital Tools Translate Relational Leadership into ESG and SDG Outcomes. Sustainability 2026, 18, 6816. https://doi.org/10.3390/su18136816
Naseem A, Franzoni S, Palermo O. The Leaderful Strategy Model: How Digital Tools Translate Relational Leadership into ESG and SDG Outcomes. Sustainability. 2026; 18(13):6816. https://doi.org/10.3390/su18136816
Chicago/Turabian StyleNaseem, Aliya, Simona Franzoni, and Ofelia Palermo. 2026. "The Leaderful Strategy Model: How Digital Tools Translate Relational Leadership into ESG and SDG Outcomes" Sustainability 18, no. 13: 6816. https://doi.org/10.3390/su18136816
APA StyleNaseem, A., Franzoni, S., & Palermo, O. (2026). The Leaderful Strategy Model: How Digital Tools Translate Relational Leadership into ESG and SDG Outcomes. Sustainability, 18(13), 6816. https://doi.org/10.3390/su18136816

