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Existential Resistance Literature: A Conceptual Framework for Preserving Human Coherence in Algorithmically Mediated Systems

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03 April 2026

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03 April 2026

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Abstract
This paper introduces the concept of Existential Resistance Literature as an emerging interdisciplinary framework positioned at the intersection of philosophy, leadership theory, and socio-technical systems. The study responds to accelerating technological developments that increasingly frame human behavior through algorithmic, predictive, and data-driven models. While such systems enhance efficiency and coordination, they simultaneously risk reducing human agency, meaning, and interpretive depth.Building on a perception-centered perspective, the paper proposes that contemporary systems face a fundamental challenge: not merely optimization, but the preservation of human coherence. In response, Existential Resistance Literature is conceptualized as a human-centered intellectual and narrative approach that resists reductionist interpretations of human identity. Central to this framework is the concept of perceptual integrity, which explains how individuals and systems maintain meaning, trust, and continuity under conditions of complexity and technological mediation.The study integrates recent research on cognitive diversity, collective intelligence, and human–AI interaction to demonstrate that sustainable systems depend not only on structural efficiency but on interpretive alignment. By reframing resistance as a constructive process of preserving meaning rather than opposing technology, the paper advances a novel paradigm for understanding the relationship between human systems and algorithmic environments.
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Subject: 
Social Sciences  -   Sociology

1. Introduction

Contemporary societies are increasingly shaped by algorithmically mediated systems that influence decision-making, communication, and social coordination at unprecedented scale. While these systems enhance efficiency and predictive capability, they also introduce a profound epistemic shift: the tendency to interpret human behavior as reducible to data patterns, computational outputs, and optimizable variables. This shift, often described as algorithmic reductionism, reflects not only a technological transformation but a reconfiguration of how meaning, agency, and human identity are constructed within complex systems [2,14,15].
Recent research across organizational behavior, cognitive science, and leadership studies indicates that the central challenge of modern systems is no longer limited to performance optimization, but extends to maintaining coherence in environments characterized by diversity, uncertainty, and continuous transformation. Studies on collective intelligence and distributed cognition demonstrate that effective systems depend not merely on structural design, but on the alignment of interpretive processes across individuals and groups [7,19]. Similarly, research on cognitive and generational diversity shows that heterogeneity can both enhance innovation and generate fragmentation, depending on how differences are perceived, interpreted, and integrated within shared contexts [5,6].
Within leadership theory, multiple schools of thought have attempted to address these challenges. Transformational and ethical leadership perspectives emphasize values, trust, and behavioral consistency as mechanisms for alignment [3], while shared and distributed leadership models highlight the relational and decentralized nature of influence in complex systems [8,16]. Inclusive leadership further extends this perspective by focusing on psychological safety and participation as enabling conditions for collective engagement [9,10]. Despite their contributions, these approaches remain largely oriented toward observable behaviors, structural arrangements, or relational dynamics, often assuming a shared interpretive ground among actors.
However, emerging evidence suggests that this assumption is increasingly untenable. In heterogeneous, multi-level, and technologically mediated environments, individuals do not operate from identical perceptual frameworks. Instead, they construct meaning through distinct cognitive, cultural, and temporal lenses, leading to variations in interpretation that cannot be resolved through structural coordination alone. The absence of a unified mechanism explaining how such differences are aligned represents a critical gap in both leadership theory and broader organizational research [13,17].
In parallel, developments in human–AI interaction and socio-technical systems further complicate this landscape. Algorithmic systems not only support human action but actively reshape perception, attention, and decision-making processes, creating environments in which meaning is increasingly mediated by computational logic [14,15]. As a result, the question is no longer whether systems are efficient, but whether they preserve human coherence, interpretive depth, and the capacity for meaning-making under conditions of increasing abstraction.
To address this gap, this study introduces Existential Resistance Literature as a novel interdisciplinary framework that positions resistance not as opposition to technology, but as the preservation of human meaning within structured systems. Unlike traditional literary or philosophical schools that focus on existential experience at the level of the individual, this framework extends existential inquiry into the domain of socio-technical systems, organizations, and leadership. It conceptualizes literature as an active, system-level mechanism for maintaining interpretive coherence in environments that tend toward reductionism.
At the core of this framework lies the concept of perceptual integrity, defined as the capacity of individuals and systems to interpret change without losing internal coherence, meaning, and relational alignment. In contrast to existing models that emphasize control, influence, or adaptation, the proposed approach reframes leadership and organizational functioning as processes of aligning perception across three interdependent dimensions: the individual, the system, and time. In doing so, it provides a mechanism-based explanation for how diversity is transformed into integrative capacity rather than fragmentation.
Importantly, this study positions Existential Resistance Literature as a distinct and emerging branch of knowledge in 2026, situated at the intersection of philosophy, leadership theory, and socio-technical systems research. While it draws conceptually from existential philosophy, organizational theory, and contemporary studies of cognition and AI, it differs in its central premise: that the preservation of human meaning within complex systems requires not only theoretical insight, but narrative, conceptual, and interpretive structures capable of resisting reduction.
By introducing this framework, the study contributes to a growing recognition that the future of human systems depends not solely on technological advancement, but on the capacity to sustain coherence, trust, and meaning in environments defined by complexity and continuous transformation. In this context, Existential Resistance Literature is not merely a descriptive concept, but a foundational paradigm for understanding how human systems can remain intact in an era increasingly shaped by algorithmic logic.

2. Materials and Methods

Research Design
This study adopts a conceptual and theory-building research design aimed at developing a perception-centered framework for understanding leadership and human coherence in algorithmically mediated environments. Such an approach is particularly appropriate in domains characterized by theoretical fragmentation, where existing models provide partial explanations without offering a unified mechanism for integrating diverse phenomena [1,2].
Rather than testing predefined hypotheses, the study seeks to identify a missing explanatory dimension within leadership, organizational behavior, and socio-technical systems research. The objective is to construct an integrative framework capable of explaining how meaning, perception, and interpretive alignment operate as foundational mechanisms in complex environments.
Literature Selection and Scope
To support this objective, a structured synthesis of recent peer-reviewed literature was conducted, focusing primarily on studies published between 2024 and 2025, complemented by foundational conceptual work where necessary. The literature search was performed using major academic databases, including Web of Science and Scopus, employing combinations of keywords such as “leadership”, “cognitive diversity”, “collective intelligence”, “human–AI interaction”, “psychological safety”, and “organizational trust”.
The selection process prioritized high-impact and peer-reviewed journals to ensure theoretical rigor and empirical grounding. Particular emphasis was placed on research addressing leadership effectiveness under conditions of complexity, diversity, and technological transformation, including studies on shared leadership, inclusive leadership, and distributed cognition [3,4,5,6,7,8,13].
In addition, emerging research on human–AI collaboration and socio-technical systems was incorporated to capture the evolving nature of perception and coordination in digitally mediated environments [14,15].
Analytical Approach
The analytical strategy follows a conceptual article design consistent with established approaches to theory development. The study employs an abductive reasoning process, allowing iterative movement between empirical observations and theoretical abstraction. This approach enables the identification of recurring patterns across the literature while supporting the development of higher-order constructs that extend beyond existing models.
A theoretical triangulation strategy was applied to ensure internal coherence, integrating insights from leadership theory, cognitive science, and organizational research into a unified explanatory structure. Through this process, consistent patterns were identified across domains, particularly the dual effect of diversity in generating both innovation and fragmentation, and the absence of a clearly articulated mechanism explaining how alignment emerges within heterogeneous systems [5,6,7,13].
Framework Development
Based on the synthesis, the proposed framework was constructed around three interdependent dimensions:
  • The individual dimension, representing perception, cognition, and meaning-making processes
  • The system dimension, encompassing organizational structures, coordination mechanisms, and relational dynamics
  • The temporal dimension, reflecting continuity, adaptation, and transformation over time
Within this structure, leadership is conceptualized as the dynamic alignment of interpretive frameworks across these dimensions. Core constructs—including perceptual alignment, perceptual integrity, meaning, trust, and collective awareness—were identified and integrated into a coherent system in which leadership effectiveness emerges from the alignment of perception rather than from individual traits or structural configurations alone.
This conceptualization is informed by recent research on perceptual distance, shared leadership dynamics, and collective cognition, which highlights the importance of interpretive coordination in complex systems [1,8,16,19].
Methodological Contribution and Limitations
Methodologically, this study contributes by introducing perception as a central unit of analysis in leadership theory and by proposing perceptual integrity as a unifying mechanism that explains how alignment is achieved and sustained across diverse contexts. By integrating previously fragmented research domains into a single conceptual model, the study advances theory-building toward mechanism-based explanation.
At the same time, the conceptual nature of the research implies certain limitations. The proposed At the same time, the conceptual nature of the research implies certain limitations. The proposed relationships have not been empirically tested and therefore require validation through quantitative, qualitative, and longitudinal research designs. Future research should focus on operationalizing the model’s constructs and examining their applicability across different organizational, cultural, and technological contexts [2].

3. Results

The integration of the reviewed literature reveals a consistent pattern across contemporary organizational and socio-technical contexts: leadership effectiveness is not determined solely by structure or individual capability, but by the alignment of perceptual frameworks among interacting actors. Across studies on cognitive diversity, collective cognition, and shared leadership, diversity produces both innovation and fragmentation depending on how differences are interpreted and coordinated within shared environments [5,6,7,8,13].

3.1. Perceptual Alignment

Perceptual alignment emerges as the central mechanism governing these outcomes. It refers to the process through which actors establish sufficient interpretive overlap to enable coordinated action without eliminating cognitive diversity.
When alignment is present, differences remain cognitively oriented and function as complementary inputs, enhancing problem-solving and adaptability. When absent, these same differences become affective and personalized, leading to conflict and fragmentation [5,6,7].

3.2. Three-Dimensional Structure

Leadership effectiveness arises from the interaction of three interdependent dimensions:
  • the individual dimension (perception and meaning-making),
  • the system dimension (structures and relational coordination),
  • and the temporal dimension (continuity and transformation).
Effective leadership is observed when these dimensions are aligned within a coherent perceptual structure. Misalignment across them produces instability, even when structural conditions appear adequate [8,16].

3.3. Perceptual Integrity

Perceptual integrity functions as a stabilizing mechanism that allows systems to adapt without losing coherence. It enables the integration of change while preserving meaning, trust, and relational alignment.
In its absence, systems may remain operationally efficient yet experience gradual erosion of coherence. This distinction is particularly salient in algorithmically mediated environments, where efficiency can coexist with interpretive fragmentation [14,15].

3.4. Leadership as Interpretive Coordination

Leadership is not reducible to individual traits or formal authority. It emerges as a relational property of coordinated interpretation.
Leadership occurs when meaning is aligned, trust is sustained, and diversity is integrated within a shared perceptual system. This shifts leadership from a model of influence toward a model of interpretive coordination.

3.5. Integration Without Uniformity

Alignment does not require similarity. Differences in perspective and experience are not eliminated but integrated. Under this model, diversity becomes a source of adaptive capacity rather than fragmentation.
Leadership thus operates as a dynamic balance between coherence and variation, stability and change.

3.6. Application to Algorithmic Systems

In human–AI environments, perception is increasingly shaped by algorithmic mediation. As a result, coordination cannot rely on structure alone.
Interpretive coherence becomes a critical condition for system effectiveness, positioning perception as a central domain of leadership in technologically mediated contexts [14,15].

3.7. Summary

Leadership effectiveness in complex environments emerges from the maintenance of perceptual alignment and integrity across interacting dimensions. These mechanisms provide a unified explanation for the dual effects of diversity and the limits of structurally driven coordination.

4. Discussion

The present study introduces a perception-centered framework that repositions leadership as a process of aligning interpretive systems rather than directing behavior. This shift addresses a fundamental limitation in existing theories, which largely assume a shared perceptual ground among actors while focusing on structure, traits, or relational dynamics [3,8,16]. By contrast, the proposed model identifies perception itself as the primary domain through which coordination, meaning, and coherence emerge in complex systems.

4.1. A Distinct Conceptual Position

The framework contributes to leadership and organizational theory by introducing perceptual alignment and perceptual integrity as core mechanisms. These constructs provide a unified explanation for the dual effects of diversity consistently reported in empirical research, where heterogeneity simultaneously enables innovation and generates fragmentation [5,6,7,13]. Existing approaches typically treat alignment as an outcome of leadership style or organizational climate [9,10], whereas the present model conceptualizes alignment as an underlying process through which meaning is constructed and coordinated.
This distinction shifts the analytical focus from observable behaviors to interpretive systems, offering a mechanism-based explanation for how collective coherence is achieved under conditions of complexity.

4.2. Saudi Identity as a Structural Logic, Not a Cultural Constraint

While the framework is articulated through a Saudi intellectual context, its contribution does not lie in cultural specificity alone, but in the structural logic it advances. The Saudi experience—characterized by continuity, rapid transformation, and large-scale systemic coordination—provides an empirical and conceptual foundation for understanding how coherence can be maintained across time, diversity, and institutional complexity.
Rather than representing a culturally bounded model, the framework reflects a form of civilizational continuity under transformation, where stability and change are not treated as opposing forces but as interdependent dimensions. This perspective enables the formulation of leadership as a balance between coherence and adaptation, a condition increasingly relevant across global systems facing similar pressures of complexity and technological acceleration.
In this sense, the Saudi dimension operates not as a limitation, but as a generative context from which a more generalizable model emerges.

4.3. Beyond Existentialism: From Individual Meaning to Systemic Coherence

The framework also extends and departs from classical existential thought, particularly the French existentialist tradition associated with thinkers such as Jean-Paul Sartre and Albert Camus. While existentialism foregrounds the individual’s struggle to construct meaning in an indifferent or fragmented world, it remains primarily focused on the subjective and philosophical dimensions of human experience.
The present framework retains the central concern with meaning, but relocates it within systems of interaction. Meaning is not treated solely as an individual condition, but as a relational and coordinated process that must be sustained across actors, structures, and time. In doing so, the model transforms existential inquiry from a philosophical reflection on individual existence into a system-level mechanism for maintaining coherence in complex environments.
This shift from existential meaning to systemic coherence represents a conceptual expansion that aligns existential thought with contemporary organizational and technological realities.

4.4. A Constructive Form of Resistance

A key contribution of the framework lies in redefining resistance. Rather than opposing technological systems, resistance is conceptualized as the preservation of human interpretive depth within them. In algorithmically mediated environments, where perception is increasingly shaped by computational processes, the risk is not only loss of control, but loss of meaning.
Existential resistance, in this context, operates as a constructive process:
  • it preserves human agency without rejecting technological advancement
  • it maintains coherence without enforcing uniformity
  • it enables adaptation without sacrificing interpretive integrity
This reframing aligns with emerging research on human–AI interaction, which emphasizes that effective systems depend on the integration of human and computational cognition rather than the dominance of one over the other [14,15].

4.5. Global Applicability

The applicability of the framework extends beyond its originating context because it is grounded in perception as a universal human process. While cultural expressions of meaning vary, the need for interpretive coherence is common across all human systems.
In globally diverse environments—where differences in cognition, values, and temporal orientation are amplified—the ability to achieve perceptual alignment becomes increasingly critical. The model therefore provides a flexible structure that can be adapted across organizational, cultural, and technological contexts, particularly in settings characterized by diversity, complexity, and rapid change [6,13].

4.6. Testability and Future Research

Importantly, the framework is not only conceptual but testable. Its core constructs—perceptual alignment and perceptual integrity—can be operationalized and examined empirically through multiple approaches:
  • measuring perceptual distance between actors [1]
  • assessing alignment in shared leadership systems [8,16]
  • examining relationships between perception, trust, and coordination [17,20]
Future research can investigate how these constructs influence outcomes such as innovation, performance, and resilience across different contexts. Longitudinal designs may further explore how perceptual coherence evolves over time, particularly in environments shaped by human–AI interaction.

4.7. Implications

The findings suggest that the central challenge of contemporary leadership is not merely the optimization of systems, but the preservation of human coherence within them. This has implications at multiple levels:
  • Theoretical: shifts leadership research toward perception as a unit of analysis
  • Organizational: reframes leadership as alignment of meaning rather than control of behavior
  • Societal: positions human coherence as a critical condition for sustainable technological integration

5. Conclusions

This study introduces a perception-centered framework that reconceptualizes leadership as the alignment of interpretive systems across individuals, organizations, and time. By identifying perceptual alignment and perceptual integrity as core mechanisms, the study provides a unified explanation for how coherence is achieved in complex, diverse, and technologically mediated environments. In doing so, it addresses a critical limitation in existing leadership and organizational theories, which tend to prioritize structure, behavior, or relational dynamics while overlooking the role of perception as a foundational dimension.
The findings suggest that leadership effectiveness is not primarily a function of control, authority, or structural optimization, but an emergent property of coordinated meaning-making processes. Within this perspective, diversity is neither inherently beneficial nor inherently disruptive; its outcomes depend on the extent to which perceptual alignment is achieved. This shifts the analytical focus from managing differences to integrating them within a coherent interpretive system.
Practical Applications
The proposed framework has direct implications across multiple domains:
  • Organizational Leadership: Leaders can enhance effectiveness by focusing on aligning interpretive frameworks rather than enforcing behavioral conformity. This includes facilitating shared meaning, reducing perceptual distance, and strengthening trust-based coordination.
  • Human–AI Systems: In algorithmically mediated environments, the framework provides a basis for designing systems that preserve human interpretive coherence alongside computational efficiency. This is particularly relevant for hybrid teams where human judgment and algorithmic outputs interact.
  • Diversity Management: Organizations can move beyond surface-level inclusion strategies toward deeper integration of cognitive and generational diversity by addressing the perceptual mechanisms that shape interpretation and interaction.
  • Policy and Institutional Design: At a broader level, the framework supports the development of systems that balance stability and transformation by maintaining coherence across temporal and structural dimensions.
Expected Outcomes
The application of this framework is expected to generate several outcomes:
  • increased organizational coherence under conditions of complexity
  • improved integration of diverse perspectives without loss of stability
  • enhanced trust and reduction of affective conflict
  • stronger adaptive capacity in rapidly changing environments
  • more sustainable interaction between human and algorithmic systems
Collectively, these outcomes point toward a shift from efficiency-driven models toward coherence-driven systems, where performance is sustained through alignment rather than control.
Final Perspective
Ultimately, this study argues that the central challenge of contemporary systems is not technological advancement itself, but the preservation of human meaning within it. By reframing leadership as a process of aligning perception, the proposed framework offers a new paradigm for understanding how human systems can remain coherent, adaptive, and meaningful in an era defined by complexity and continuous transformation.
In this context, the contribution of the study lies not only in introducing new concepts, but in redefining the conditions under which leadership, organization, and human systems can sustain themselves in the presence of accelerating technological change..

Author Contributions

Conceptualization, A.H.A.; methodology, A.H.A.; formal analysis, A.H.A.; investigation, A.H.A.; resources, A.H.A.; data curation, A.H.A.; writing—original draft preparation, A.H.A.; writing—review and editing, A.H.A.; visualization, A.H.A.; supervision, A.H.A.; project administration, A.H.A. The author has read and agreed to the published version of the manuscript.

Funding

This research received no external funding. The APC was funded by the author.

Institutional Review Board Statement

Not applicable.

Data Availability Statement

No new data were created or analyzed in this study. Data sharing is not applicable to this article.

Acknowledgments

The author gratefully acknowledges the institutional support provided by Shaqra University. During the preparation of this manuscript, the author used ChatGPT (OpenAI) to assist with language editing and improving clarity of expression. The author reviewed and edited all AI-assisted outputs and assumes full responsibility for the content of this publication.

Conflicts of Interest

The author declares no conflicts of interest.

References

  1. Tafvelin, S.; Nielsen, K.; Lundmark, R.; von Thiele Schwarz, U.; Abildgaard, J.S.; Hasson, H. More is not always merrier: Does leader-team perceptual distance on context influence leadership training transfer? Eur. J. Work Organ. Psychol. 2025, 34, 251–262. [Google Scholar] [CrossRef]
  2. DDI (Development Dimensions International). 2025 Global Leadership Forecast: Navigating Complexity in the Age of AI; DDI: Pittsburgh, PA, USA, 2025. [Google Scholar]
  3. Gardner, W.L.; Clapp-Smith, R.; Mhatre, K.; Avolio, B.J.; Chan, A.; Hughes, L.W.; Pandey, P.; Sun, I. Does the talk match the walk? Effects of leader exemplification and ethical conduct on perceived leader authenticity, trust, and organizational advocacy. J. Bus. Ethics 2024, 189, 713–732. [Google Scholar] [CrossRef]
  4. Engin, S.; Wang, L.; Zhang, Y.; Chen, X. The role of leadership identity in business and public sectors: A content analysis approach. Front. Psychol. 2024, 15, 1492443. [Google Scholar] [CrossRef] [PubMed]
  5. Li, J.; Zhang, Y. The double-edged effect of cognitive diversity on team creativity: The roles of cognitive conflict and cognitive trust. J. Bus. Res. 2025, 197, 115312. [Google Scholar] [CrossRef]
  6. Wang, L.; Duan, X.; Wang, S.; Zhang, W. Generational diversity and team innovation: The roles of conflict and shared leadership. Front. Psychol. 2024, 15, 1501633. [Google Scholar] [CrossRef] [PubMed]
  7. Aggarwal, I.; Cuconato, G.; Ateş, N.Y.; Meslec, N. Self-beliefs, transactive memory systems, and collective identification in teams: Articulating the socio-cognitive underpinnings of COHUMAIN. Top. Cogn. Sci. 2025, 17, 217–247. [Google Scholar] [CrossRef] [PubMed]
  8. Wu, J.; Zhang, Z.; Song, L.J.; Zhu, L. Shared leadership and team creativity: Examining effects of shared leadership level and concentration and the countervailing mechanisms. J. Appl. Psychol. 2025, 110, 1001–1014. [Google Scholar] [CrossRef] [PubMed]
  9. Mohase, K.; Donald, F.; Israel, N. Inclusive leadership, psychological safety, and employee voice in remote and hybrid work employees. S. Afr. J. Psychol. 2025, 55, 1–14. [Google Scholar] [CrossRef]
  10. El-Ashry, A.M.; Mohamed Elsayed Abdo, B.; Khedr, M.A.; El-Sayed, M.M.; Abdelhay, I.S.; Abou Zeid, M.G. Mediating effect of psychological safety on the relationship between inclusive leadership and nurses’ absenteeism. BMC Nurs. 2025, 24, 826. [Google Scholar] [CrossRef] [PubMed]
  11. Kipara, J. Inclusive leadership as a catalyst for employee and team performance: A systematic review of empirical evidence. Afr. Q. Soc. Sci. Rev. 2025, 2, 545–551. [Google Scholar] [CrossRef]
  12. Park, J.; Lee, H.; Kim, S. Structural relationship between inclusive leadership of the boss, power distance, psychological safety, and innovation behavior of hotel employees. Korean J. Hosp. Tour. 2025, 34, 45–62. [Google Scholar]
  13. De Vincenzo, F.; Curșeu, P.L.; Chirilă, M. Collective forms of leadership and team cognition in work teams: A systematic and critical review. Acta Psychol. 2025, 259, 105403. [Google Scholar] [CrossRef] [PubMed]
  14. Riedl, C.; Savage, S.; Zvelebilova, J. AI’s social forcefield: Reshaping distributed cognition in human–AI teams. arXiv 2025, arXiv:2407.17489. [Google Scholar] [CrossRef]
  15. Schmutz, J.B.; Outland, N.; Kerstan, S.; Georganta, E.; Ulfert, A.-S. AI-teaming: Redefining collaboration in the digital era. Curr. Opin. Psychol. 2024, 58, 101837. [Google Scholar] [CrossRef] [PubMed]
  16. van Knippenberg, D.; Pearce, C.L.; van Ginkel, W.P. Shared leadership – vertical leadership dynamics in teams. Group Organ. Manage. 2025, 50, 44–67. [Google Scholar] [CrossRef]
  17. Ling, T.C.; Choong, Y.O.; Ng, L.P.; Lau, T.C. Beyond fairness: Exploring organizational citizenship behavior through the lens of self-efficacy and trust in principals. Humanit. Soc. Sci. Commun. 2025, 12, 288. [Google Scholar] [CrossRef]
  18. Ünder, I. Relationship between organizational justice and organizational trust perceptions and voluntary non-reporting in aviation. Int. J. Aerosp. Psychol. 2025, 35, 45–62. [Google Scholar] [CrossRef]
  19. Woolley, A.W.; Gupta, P. Understanding collective intelligence: Investigating the role of collective memory, attention, and reasoning processes. Perspect. Psychol. Sci. 2024, 19, 344–354. [Google Scholar] [CrossRef] [PubMed]
  20. Abson, E.; Schofield, P.; Kennell, J. Making shared leadership work: The importance of trust in project-based organisations. Int. J. Proj. Manag. 2024, 42, 102567. [Google Scholar] [CrossRef]
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