Cognitive Frameworks for Organizational Performance and Innovation

Listen to this article:

Abstract: This article examines the organizational implications of prevalent "ways of thinking"—cognitive frameworks that shape how individuals and teams perceive problems, generate solutions, and execute strategies. Drawing on Crilly's (2025) comprehensive bibliometric analysis of 78 ways of thinking across research literatures, this article translates academic prevalence patterns into actionable insights for practitioners. Critical thinking, design thinking, creative thinking, systems thinking, and computational thinking emerge as the five most prevalent frameworks in contemporary scholarship. However, their uneven distribution across disciplines and applications, varying rates of adoption, and differential combinations suggest significant opportunities and risks for organizations. The analysis reveals that while critical thinking maintains broad, sustained relevance across sectors, computational thinking shows rapid concentration in specific domains, and design thinking demonstrates explosive recent growth. Organizations that strategically cultivate complementary thinking capabilities—rather than adopting isolated frameworks—demonstrate enhanced problem-solving capacity, innovation outcomes, and adaptive resilience. This article provides evidence-based guidance for selecting, developing, and integrating multiple ways of thinking to address complex organizational challenges, supported by cases spanning engineering, healthcare, education, and public services.

When the World Economic Forum (2025) identifies systems thinking, creative thinking, and analytical thinking among the most critical workplace competencies for the coming decade, it signals more than a passing trend. These "ways of thinking"—distinct cognitive frameworks that influence how people notice patterns, frame problems, and pursue solutions—have moved from academic curiosity to strategic imperative. Yet organizational leaders face a bewildering landscape: Should they prioritize critical thinking or creative thinking? Invest in design thinking workshops or systems thinking training? Pursue computational thinking capabilities or futures thinking orientation?

The proliferation of thinking frameworks creates both opportunity and confusion. The European Commission's Sustainability Competence Framework alone highlights five distinct thinking modes (Scalabrino, 2022), while engineering education increasingly emphasizes systems thinking, creative thinking, and critical thinking (Royal Academy of Engineering, 2024). Each framework promises distinct benefits, but practitioners receive little guidance on which combinations deliver synergistic value versus redundant overlap.

Recent bibliometric research by Crilly (2025) provides unprecedented clarity on this landscape, analyzing 78 ways of thinking across millions of research documents. The findings reveal stark differences in prevalence, growth trajectories, disciplinary concentration, and co-occurrence patterns. These patterns matter because they reflect where scholarly attention, pedagogical innovation, and practical application have concentrated—and where gaps persist.

This article translates those bibliometric insights into organizational implications. We examine not just which thinking frameworks dominate current discourse, but what their prevalence and distribution patterns reveal about effective organizational responses to complexity, uncertainty, and change. The stakes are high: organizations that cultivate appropriate thinking capabilities demonstrate measurably stronger innovation outcomes, problem-solving capacity, and adaptive resilience (Hoegl & Parboteeah, 2006; Reiter-Palmon & Illies, 2004). Those that misalign their thinking capabilities with strategic challenges face costly misdirection.

The Ways of Thinking Landscape

Defining Ways of Thinking in Organizational Contexts

Ways of thinking represent more than isolated cognitive skills. Crilly (2025) describes them as influencing "how a person sees the world, orients toward it and acts upon it, typically through a collection of cognitive styles, habits of mind, attitudes, logics, values or perspectives" (p. 40). In organizational settings, these frameworks function simultaneously as individual competencies, team capabilities, and cultural orientations.

Consider critical thinking. At the individual level, it involves analyzing arguments, evaluating evidence, and questioning assumptions (Dwyer et al., 2014). At the team level, it manifests as collective scrutiny of proposals, systematic challenge of prevailing mental models, and disciplined evaluation of alternatives. At the organizational level, critical thinking becomes embedded in decision-making processes, quality assurance protocols, and cultural norms around intellectual rigor.

This multi-level nature creates both power and complexity. A single thinking framework—say, systems thinking—can simultaneously improve individual problem diagnosis, enhance team coordination around interdependencies, and shape organizational strategy toward holistic rather than siloed interventions (Arnold & Wade, 2015). But it also means that simply training individuals in a thinking framework doesn't automatically translate to organizational capability. The pathway from individual skill to institutional practice requires deliberate cultivation.

Table 1: Cognitive Frameworks for Organizational Performance and Innovation

Thinking Framework	Academic Prevalence	Conceptual Classification	Primary Application Domains	Performance Impacts	Synergistic Combinations	Strategic Organizational Role (Inferred)
Critical Thinking	Broadest sustained presence (2020-2024); most prevalent framework.	Skill (individual competency).	Law, medicine, journalism, management, and education.	Improved decision quality, reduced cognitive bias, stronger problem diagnosis, and reduced groupthink.	Creative Thinking; Computational Thinking.	Fundamental baseline for risk management, intellectual rigor, and quality assurance in decision-making.
Design Thinking	Explosive recent growth (2020-2024).	Method, approach, and process (structural methodology).	Innovation labs, healthcare systems, government agencies, and user-centered development.	Enhanced user experience, service innovation, and creative problem-solving.	Systems Thinking.	Agile methodology for market differentiation, customer-centric product evolution, and rapid prototyping.
Systems Thinking	Sustained relevance; concentrated in specific technical domains (2020-2024).	Approach (broad methodological orientation).	Engineering, environmental management, healthcare improvement, and urban planning.	Reduced problem recurrence, minimization of unintended consequences, and holistic intervention.	Design Thinking; Futures Thinking.	Strategic planning tool for managing organizational interdependencies and complex 'wicked' problems.
Creative Thinking	Substantial sustained presence (2020-2024) with moderate growth.	Mindset/Skill (psychological state).	Education, arts, business, and radical innovation.	Breakthrough innovation (2-3x higher rates), enhanced engagement, and novelty.	Critical Thinking; Entrepreneurial Thinking.	Engine for long-term growth and market disruption; critical for maintaining competitive novelty.
Computational Thinking	Most dramatic recent emergence; highly concentrated (2020-2024).	Skill (logical/algorithmic reasoning).	Education, computer science, and data-rich digital economies.	High value in data-rich environments; improved algorithmic reasoning and problem decomposition.	Critical Thinking.	Technical capability building for digital transformation and data-driven strategic planning.
Futures Thinking	Relatively even distribution across domains; moderate prevalence (2020-2024).	Approach/Perspective.	Urban planning, scenario planning, and sustainability.	Exploration of alternative trajectories and long-term consequence mitigation.	Strategic Thinking; Systems Thinking.	Long-range risk assessment and resilience planning for uncertain future environments.

The terminology itself warrants attention. While "ways of thinking" serves as the umbrella term here, these frameworks are variously labeled as thinking skills, cognitive skills, higher-order thinking skills, or 21st-century skills across different literatures (Butterworth & Thwaites, 2013; Lewis & Smith, 1993; Thornhill-Miller et al., 2023). This inconsistency reflects genuine conceptual ambiguity: Is design thinking primarily a cognitive style, a structured process, or an organizational resource (Kimbell, 2011)? Is systems thinking better understood as a set of characteristics, a purposeful achievement, or itself a system (Kaur & Craven, 2022)?

These definitional debates have practical consequences. Organizations pursuing "design thinking" might implement divergent initiatives depending on whether they conceptualize it as creative mindset development (focusing on individual disposition), structured methodology adoption (focusing on process frameworks), or cultural transformation (focusing on organizational identity). The bibliometric evidence on how these terms are actually used in practice—through suffix analysis examining whether frameworks are labeled as skills, approaches, methods, or processes—provides valuable guidance for implementation choices.

Prevalence, Drivers, and Distribution

Crilly's (2025) analysis of research documents from 2020-2024 reveals a clear hierarchy of prevalence among ways of thinking. The top five—critical thinking, design thinking, creative thinking, systems thinking, and computational thinking—dominate contemporary scholarship, but with revealing differences in concentration and trajectory.

Critical thinking maintains the broadest sustained presence, appearing across disciplines and application domains with remarkable consistency. Its prevalence reflects deep historical roots in educational philosophy and professional practice spanning law, medicine, journalism, and management (Ennis, 2018). Organizations have long valued analytical rigor, evidence evaluation, and argument assessment, making critical thinking a relatively stable rather than rapidly emerging framework.

Design thinking, by contrast, demonstrates explosive recent growth despite more modest historical presence. Its rise correlates with increasing organizational interest in innovation methodologies, user-centered development, and creative problem-solving beyond traditional design professions (Carlgren et al., 2016). Organizations from healthcare systems to government agencies have adopted design thinking workshops, hiring dedicated design thinking facilitators and establishing innovation labs.

Creative thinking occupies middle ground: substantial sustained presence across education, arts, and business literatures, with moderate rather than dramatic growth. Systems thinking shows similar patterns of sustained relevance, particularly concentrated in engineering, environmental management, and organizational development domains where interconnection and emergence are central concerns (Cabrera et al., 2015).

Computational thinking represents the most dramatic recent emergence, particularly concentrated in education and computer science literatures. Its rapid rise reflects urgent efforts to prepare populations for increasingly digital economies, but its high concentration in specific domains (compared to more evenly distributed frameworks like futures thinking) suggests both opportunity and risk. Organizations in domains where computational thinking shows low current presence may find significant competitive advantage in early adoption—or may face misalignment if the framework poorly matches their core challenges.

The suffix patterns Crilly (2025) identifies prove particularly revealing for organizational application. Critical thinking is most commonly referred to as a "skill," suggesting conceptualization as individual competency suitable for training and assessment. Systems thinking is most often labeled an "approach," implying broader methodological orientation beyond isolated skill application. Design thinking appears almost equally as "method," "approach," and "process," reflecting ongoing conceptual ambiguity about whether it primarily represents structured technique, general orientation, or systematic procedure.

These linguistic patterns suggest different implementation pathways. Skills-oriented frameworks (critical thinking, computational thinking) lend themselves to individual competency development through training programs with clear learning objectives and assessment metrics. Approach-oriented frameworks (systems thinking, futures thinking) require broader methodological shifts in how teams and organizations frame problems and design interventions. Method-oriented frameworks (design thinking) benefit from structured process adoption with defined phases and tools, but risk mechanistic application divorced from underlying mindset development.

Organizational and Individual Consequences of Thinking Framework Choices

Organizational Performance Impacts

The choice of which thinking frameworks to cultivate carries measurable performance consequences. Organizations that strategically align their promoted thinking capabilities with core strategic challenges demonstrate stronger outcomes across innovation, problem-solving, and adaptation domains.

Research on critical thinking in organizational settings consistently links higher levels of critical thinking capability to improved decision quality, reduced cognitive bias impact, and stronger problem diagnosis (Halpern & Dunn, 2021). A meta-analysis by Abrami et al. (2015) examining critical thinking interventions found effect sizes averaging d = 0.30 for general critical thinking outcomes and d = 0.40 for domain-specific critical thinking skills, translating to meaningful performance improvements in professional contexts. Organizations with stronger critical thinking cultures demonstrate reduced susceptibility to groupthink, more robust contingency planning, and better calibration between confidence and accuracy in judgments (Kahneman et al., 2021).

Creative thinking capabilities correlate with innovation outcomes, particularly for radical rather than incremental innovation. Anderson et al. (2014) found that team creative thinking climate—characterized by psychological safety for idea generation, tolerance for experimentation, and active support for novelty—predicted both innovation quantity and quality. Organizations that systematically cultivate creative thinking report 2-3 times higher rates of breakthrough innovation compared to those emphasizing only analytical or critical thinking (Amabile & Pratt, 2016).

Systems thinking capacity demonstrates particular value for addressing complex, interconnected challenges. Organizations facing wicked problems—characterized by multiple stakeholders, delayed feedback loops, and unintended consequences—benefit substantially from systems thinking capabilities (Sterman, 2006). Studies of environmental management initiatives, healthcare improvement programs, and organizational transformation efforts consistently find that systems thinking approaches reduce problem recurrence, enhance sustainability of improvements, and minimize negative side effects compared to linear problem-solving approaches (Cabrera et al., 2015; Foster-Fishman et al., 2007).

The performance value of thinking frameworks isn't uniform across contexts. Computational thinking delivers disproportionate value in data-rich, digitally-mediated environments, while design thinking proves particularly powerful for user experience challenges and service innovation. Organizations achieve strongest outcomes when they deliberately match thinking framework cultivation to strategic priorities rather than pursuing frameworks based on current popularity alone.

Individual Wellbeing and Stakeholder Impacts

Beyond organizational performance metrics, thinking framework choices significantly affect individual wellbeing, professional development, and stakeholder experiences. These human impacts deserve serious consideration in implementation decisions.

Critical thinking cultivation correlates with enhanced individual agency and reduced vulnerability to manipulation. People with stronger critical thinking capabilities demonstrate greater resilience to misinformation, more sophisticated evaluation of persuasive appeals, and increased confidence in navigating complex information environments (Lewandowsky et al., 2020). In organizational contexts, critical thinking development enhances employee capacity to evaluate change initiatives, assess leadership claims, and participate meaningfully in strategic discussions rather than passively accepting directives.

However, exclusive emphasis on critical thinking can generate negative consequences. Organizations that cultivate primarily critical orientation without balancing creative or appreciative thinking may foster cynicism, analysis paralysis, and innovation resistance (Cooperrider & Whitney, 2005). Employees in highly critical cultures report higher stress, lower psychological safety for proposing novel ideas, and reduced sense of possibility—particularly when critical thinking is weaponized for political purposes rather than genuine improvement.

Creative thinking development demonstrates consistent positive associations with psychological wellbeing, including enhanced intrinsic motivation, greater sense of autonomy, and increased experience of flow states (Csikszentmihalyi, 2014). Organizations supporting creative thinking report improved employee engagement, retention, and satisfaction. But creative thinking cultivation requires substantial psychological safety—teams and individuals need genuine permission to experiment, fail, and revise without punitive consequences (Edmondson, 2018).

Systems thinking capabilities benefit both individuals and broader stakeholder groups by enhancing understanding of interdependence and reducing blame-oriented thinking. People who adopt systems perspectives demonstrate greater appreciation for structural rather than personal causes of problems, leading to more constructive problem-solving and reduced interpersonal conflict (Meadows, 2008). For external stakeholders—customers, citizens, patients—organizational systems thinking often translates to more coherent service experiences, fewer frustrating contradictions between organizational units, and better consideration of downstream consequences.

Evidence-Based Organizational Responses

Balanced Portfolio Development

Rather than pursuing single thinking frameworks in isolation, leading organizations cultivate balanced portfolios that combine complementary capabilities. The evidence from framework co-occurrence patterns provides valuable guidance for effective combinations.

Crilly (2025) finds that critical thinking and creative thinking co-occur most frequently in research literatures, reflecting longstanding recognition that effective innovation requires both idea generation and rigorous evaluation. Organizations that develop these capabilities in tandem avoid the pitfalls of either uncritical creativity (generating numerous impractical ideas) or sterile criticism (rejecting all proposals without generating alternatives).

The pharmaceutical company Merck exemplifies balanced portfolio cultivation in drug development. Their research teams receive training in both creative thinking techniques for hypothesis generation and critical thinking skills for experimental design and evidence evaluation. Team protocols explicitly separate divergent creative phases from convergent critical phases, preventing premature criticism from suppressing novel hypotheses while ensuring rigorous evaluation before committing resources. This balanced approach contributed to successful development of multiple breakthrough therapies, including novel cancer immunotherapies that emerged from initially unconventional hypotheses (Ledford, 2016).

Systems thinking demonstrates particularly strong synergies with both design thinking and futures thinking. Organizations addressing complex, evolving challenges benefit from combining systems perspectives (understanding interconnection and dynamics) with design orientation (maintaining human-centeredness and iterative experimentation) and futures perspective (exploring alternative trajectories and long-term consequences).

The Singapore government's approach to urban planning illustrates this combination. Their Urban Redevelopment Authority integrates systems thinking for understanding city-wide infrastructure interdependencies, design thinking for ensuring resident-centered service delivery, and futures thinking for scenario planning under climate uncertainty. This integrated approach enabled successful development of sustainable high-density urban environments that maintain quality of life while managing resource constraints—outcomes difficult to achieve through any single framework (Yuen & Kong, 2009).

Effective combinations to consider:

• Critical thinking + Creative thinking: For innovation contexts requiring both novelty and rigor; balances ideation with evaluation

• Systems thinking + Design thinking: For complex service environments; combines holistic perspective with human-centeredness

• Futures thinking + Strategic thinking: For long-term planning under uncertainty; links scenario exploration to strategic choice

• Computational thinking + Critical thinking: For data-rich decision environments; combines algorithmic reasoning with evidence evaluation

• Creative thinking + Entrepreneurial thinking: For commercialization contexts; links innovation to value capture

Developmental Scaffolding and Sequencing

Effective thinking framework cultivation requires attention to developmental sequences and scaffolding. Not all frameworks are equally accessible to novices, and attempting advanced frameworks without foundational capabilities can produce frustration and superficial application.

Critical thinking typically serves as valuable foundation for other frameworks. Its emphasis on evidence evaluation, argument analysis, and assumption identification provides cognitive scaffolding for more specialized thinking modes. Research on expertise development consistently shows that domain novices benefit from developing general critical thinking capabilities before pursuing framework-specific thinking approaches (Willingham, 2008).

Educational technology company Desmos illustrates developmental sequencing in their teacher professional development. Rather than immediately introducing design thinking methodologies for curriculum innovation, they first cultivate teachers' critical thinking around mathematical learning through structured analysis of student work, evaluation of pedagogical research, and questioning of traditional instructional assumptions. Only after establishing this critical foundation do they introduce design thinking processes for developing novel learning activities. This sequence produces more sophisticated, evidence-grounded innovation than immediate design thinking immersion (Nguyen et al., 2020).

Computational thinking shows similar benefits from foundational preparation. Organizations achieving strongest outcomes from computational thinking development first ensure basic logical reasoning and problem decomposition capabilities before introducing algorithmic thinking and abstraction concepts. This scaffolding prevents purely mechanical algorithm application without genuine understanding of underlying principles (Grover & Pea, 2013).

Developmental considerations:

• Start with critical thinking foundations: Establish evidence evaluation and argument analysis before specialized frameworks

• Introduce complexity gradually: Begin with focused, well-defined problems before tackling genuinely wicked challenges

• Build deliberate practice opportunities: Provide repeated application with feedback across varied contexts

• Support metacognitive reflection: Help individuals recognize when they're successfully applying frameworks versus superficially mimicking

• Acknowledge expertise development timelines: Real proficiency in sophisticated thinking frameworks requires years, not weeks

Contextual Customization

Generic thinking framework adoption often fails because it neglects crucial contextual factors. Organizations achieve better outcomes through deliberate customization that accounts for disciplinary traditions, cultural norms, and strategic priorities.

Crilly's (2025) analysis reveals substantial variation in how thinking frameworks distribute across disciplines. Computational thinking concentrates heavily in computer science and mathematics education, while futures thinking shows relatively even distribution across domains. These patterns partly reflect genuine contextual fit—computational thinking naturally aligns with software development challenges—but also represent opportunity for cross-pollination.

Healthcare organizations illustrate valuable contextual customization of design thinking. Rather than simply importing generic design thinking workshops developed in product innovation contexts, leading healthcare systems adapt the frameworks to clinical realities. They modify rapid prototyping approaches to account for patient safety requirements, adjust user research methods to respect clinical privacy and vulnerability, and integrate design thinking with evidence-based medicine principles rather than treating them as competing paradigms.

The UK National Health Service Innovation Unit developed contextualized design thinking approaches specifically for clinical environments. Their "Experience-Based Co-Design" methodology maintains core design thinking principles (empathy, iteration, human-centeredness) while incorporating systematic evidence review, clinical governance alignment, and careful attention to power dynamics between patients and clinicians. This customization enabled successful service redesigns across multiple care pathways without compromising safety or professional standards (Bate & Robert, 2006).

Customization strategies:

• Assess disciplinary traditions: Understand which thinking frameworks already have presence in your domain

• Identify cultural tensions: Recognize where framework assumptions conflict with existing norms and values

• Adapt language and examples: Use terminology and illustrations relevant to practitioners' experiences

• Integrate rather than displace: Connect new frameworks to existing valued practices rather than positioning as replacement

• Respect regulatory and ethical constraints: Ensure framework application remains compatible with necessary governance requirements

Capability Building Infrastructure

Sustainable thinking framework development requires infrastructure beyond one-time training events. Organizations achieving lasting capability shifts invest in ongoing development systems, community support, and practice scaffolding.

Effective infrastructure includes designated time for framework application, not just initial learning. Organizations that successfully cultivate systems thinking, for example, allocate regular meeting time for causal loop diagramming, system mapping, and pattern identification—not as separate "systems thinking exercises" but integrated into normal problem-solving discussions. This embedded practice prevents frameworks from remaining abstract concepts disconnected from real work (Senge, 2006).

Technology company Intuit demonstrates infrastructure investment for design thinking capability. Beyond initial training, they established a network of design thinking coaches distributed across product teams, created online communities of practice for ongoing skill development, maintained libraries of tools and templates, and built framework application into project approval processes. Crucially, they measured and celebrated design thinking application as valued organizational behavior, not just innovation outcomes. This comprehensive infrastructure enabled design thinking to become institutional practice rather than temporary initiative (Brenner et al., 2016).

Infrastructure elements:

• Designated practice time: Regular allocation in work schedules for framework application

• Expert coaching access: Available guidance for teams applying frameworks to challenging problems

• Community connections: Networks for practitioners to share experiences and evolve practice

• Tool libraries and templates: Readily accessible resources reducing implementation friction

• Recognition systems: Explicit acknowledgment and reward for skillful framework application

• Leadership modeling: Visible senior leader engagement with frameworks in strategic contexts

Cross-Functional Integration

Thinking frameworks deliver greatest value when they transcend functional silos and enable cross-boundary collaboration. The diversity of frameworks across an organization can either fragment efforts or provide complementary capabilities depending on integration approach.

Organizations structured around disciplinary specialization often develop concentrated thinking framework profiles matching professional traditions—engineers developing systems thinking, designers developing design thinking, data scientists developing computational thinking. This specialization provides depth but risks functional fragmentation where different groups literally think in incompatible ways about shared challenges.

Effective integration doesn't require uniform framework adoption across all functions. Instead, it involves developing framework awareness and translation capabilities. Engineers don't need to abandon systems thinking, but they benefit from understanding how design-thinking colleagues approach the same problems. This multilingual fluency enables productive dialogue across perspectives rather than each group talking past the other.

The automotive company Ford demonstrates cross-functional framework integration in vehicle development. Their integrated product teams include engineers (bringing systems thinking to vehicle architecture and performance), designers (contributing design thinking for user experience), manufacturing specialists (applying lean thinking to production efficiency), and marketers (using customer journey mapping). Rather than attempting to make everyone adopt the same framework, they invest in boundary-spanning roles that can translate between perspectives and facilitate integrated problem-solving. This approach contributed to successful platform developments that balanced engineering performance, user experience, manufacturability, and market positioning (Thomke & Fujimoto, 2000).

Integration approaches:

• Boundary-spanning roles: Individuals or teams explicitly chartered to connect across functional perspectives

• Shared problem-solving protocols: Structured processes that intentionally draw on multiple frameworks

• Translation skill development: Training in recognizing and bridging between different thinking approaches

• Joint learning experiences: Cross-functional cohorts in framework development programs

• Integrated assessment criteria: Evaluation systems that require demonstration of multiple thinking capabilities

Building Long-Term Organizational Thinking Capability

Embedded Learning Systems

Organizations that sustain thinking capability development beyond initial training events establish embedded learning systems that continuously cultivate, assess, and evolve practice. These systems treat thinking frameworks as organizational competencies requiring ongoing development rather than one-time knowledge transfer.

Effective learning systems incorporate regular skill assessment, not for punitive accountability but for identifying development needs and progress. Organizations using validated critical thinking assessments (such as the Cornell Critical Thinking Tests or California Critical Thinking Skills Test) establish baseline capabilities and track improvements over time, enabling targeted intervention where needs are greatest (Abrami et al., 2015).

Beyond formal assessment, embedded learning systems create low-stakes practice opportunities. Some organizations designate regular team meetings as "thinking labs" where members apply frameworks to authentic but not immediately critical challenges, building capability in contexts where mistakes inform learning rather than threaten performance. Others establish peer observation and feedback loops where colleagues assess each other's framework application and provide developmental coaching (Ericsson et al., 1993).

The consulting firm McKinsey exemplifies embedded learning systems for problem-solving frameworks. Their formal training introduces frameworks like hypothesis-driven thinking and structured problem decomposition, but capability development continues through apprenticeship where junior consultants work alongside more experienced practitioners. Regular case debriefs explicitly examine thinking framework application, identifying where frameworks were skillfully employed and where opportunities were missed. This ongoing developmental infrastructure maintains thinking capability as core organizational competency across cohorts (Rasiel, 1999).

Learning system elements:

• Baseline and progress assessment: Regular measurement of thinking capability development

• Low-stakes practice contexts: Safe opportunities to apply frameworks without performance pressure

• Peer observation and feedback: Systematic colleague support for skill development

• Apprenticeship structures: Pairing novices with experts for authentic framework application

• Explicit debriefing protocols: Structured reflection on thinking framework use in completed projects

• Adaptive curriculum: Evolving training content based on assessed needs and emerging challenges

Psychological Safety for Cognitive Diversity

Different thinking frameworks can produce conflicting recommendations and incompatible problem framings. Creative thinking might suggest bold experimentation while critical thinking counsels cautious evaluation. Design thinking might prioritize user delight while systems thinking emphasizes long-term sustainability. These tensions are valuable—they prevent premature consensus and expose hidden assumptions—but only if organizational culture treats cognitive diversity as asset rather than threat.

Psychological safety provides the foundation for productive cognitive diversity (Edmondson, 2018). When team members feel secure raising dissenting perspectives, questioning prevailing frameworks, and proposing alternative thinking approaches, organizations access the full value of their thinking capability portfolio. Without psychological safety, people default to whichever framework seems politically safest rather than most appropriate for the challenge at hand.

Leaders cultivate psychological safety for cognitive diversity through several practices. They explicitly legitimize multiple thinking frameworks as valuable, rather than promoting a single "right" approach. They model openness to challenge by inviting criticism of their own thinking and visibly revising positions when better frameworks or evidence emerge. They establish protocols that require consideration of problems from multiple thinking perspectives before reaching decisions, preventing premature convergence on familiar frameworks (Edmondson, 2018).

The global design firm IDEO demonstrates psychological safety for cognitive diversity. Their project teams deliberately include members with different professional backgrounds and thinking framework expertise. Team protocols explicitly invite divergent perspectives, with facilitators intervening when certain thinking modes dominate to ensure balanced consideration. Leaders regularly acknowledge when their preferred frameworks prove inadequate and actively solicit alternative approaches. This culture enables productive integration of design thinking, systems thinking, and strategic thinking rather than framework competition (Brown, 2009).

Psychological safety practices:

• Explicit framework pluralism: Leaders clearly communicate value of multiple thinking approaches

• Invitation of challenge: Active solicitation of alternative perspectives and framework critiques

• Visible leader learning: Modeling revision of thinking based on better frameworks or evidence

• Balanced participation protocols: Structured processes ensuring diverse thinking approaches receive consideration

• Productive conflict framing: Treating framework tensions as opportunities for insight rather than threats to resolve

• Attribution to frameworks not people: Focusing critique on thinking approaches rather than individual intelligence or competence

Strategic Thinking Framework Selection

Not all thinking frameworks deserve equal organizational investment. Strategic selection requires understanding both which frameworks matter most for organizational challenges and which frameworks face genuine scarcity in current capability profiles.

The bibliometric evidence on framework prevalence provides a starting point. Critical thinking's broad sustained presence suggests it functions as widely applicable foundation, while computational thinking's rapid emergence in specific domains signals urgent developing capability. But popularity doesn't automatically indicate appropriateness for every organization. A healthcare system may need stronger ethical thinking capabilities regardless of whether that framework enjoys widespread research attention. A manufacturing company may require sophisticated lean thinking despite its more modest academic prevalence.

Strategic selection considers three factors: strategic imperative alignment (which frameworks matter most for our challenges?), current capability gaps (where do we have the greatest deficits?), and competitive differentiation opportunity (where could distinctive thinking capability provide advantage?). Organizations often find greatest value investing in frameworks adjacent to current strengths rather than pursuing dramatic capability pivots. An engineering firm with strong computational thinking might strategically add design thinking to complement analytical strength with human-centeredness, while a creative agency might add systems thinking to strengthen consideration of long-term consequences and interdependencies.

The urban innovation consultancy Gehl demonstrates strategic framework selection. Rather than pursuing all prevalent thinking frameworks, they deliberately concentrated capability development in design thinking (for human-centered urban space design), systems thinking (for understanding city dynamics and infrastructure interdependencies), and evidence-based thinking (for rigorous evaluation of intervention outcomes). This focused combination created distinctive capability for transforming urban environments through approaches that were simultaneously human-centered, systemically sophisticated, and empirically grounded—differentiation that would have been diluted by broader framework dispersal (Gehl, 2010).

Strategic selection criteria:

• Strategic challenge alignment: Which frameworks best match our most important problems?

• Current capability assessment: Where are our greatest thinking capability gaps?

• Competitive differentiation: Which thinking capabilities could provide distinctive advantage?

• Adjacency to strengths: Which frameworks complement our existing capabilities?

• Resource concentration: Can we achieve sufficient depth rather than superficial breadth?

• Cross-functional relevance: Which frameworks enable shared understanding across organizational boundaries?

Conclusion

The landscape of organizational thinking frameworks is rich but challenging to navigate. Crilly's (2025) bibliometric analysis reveals substantial variation in prevalence, growth trajectories, disciplinary concentration, and co-occurrence patterns among 78 ways of thinking. The five most prevalent frameworks—critical thinking, design thinking, creative thinking, systems thinking, and computational thinking—dominate contemporary discourse, but their different suffixes (skill vs. approach vs. method), focus proportions, historical trajectories, and distribution patterns signal important differences in nature and application.

For practitioners, several actionable insights emerge. First, no single thinking framework adequately addresses the full complexity of contemporary organizational challenges. Effective organizations cultivate balanced portfolios combining complementary capabilities—critical thinking with creative thinking for innovation, systems thinking with design thinking for complex service environments, computational thinking with strategic thinking for data-driven planning.

Second, thinking framework selection should reflect strategic priorities rather than current popularity. While the bibliometric evidence helps identify which frameworks receive scholarly and practical attention, organizational context determines appropriate choices. A framework's prevalence in research literatures indicates established knowledge base and available resources, but not necessarily relevance for specific organizational challenges.

Third, sustainable capability development requires infrastructure beyond one-time training. Organizations achieving lasting shifts invest in ongoing practice opportunities, expert coaching, community support, psychological safety for framework application, and embedded learning systems that continuously cultivate and assess thinking capabilities.

Fourth, cross-functional integration delivers substantial value. Rather than concentrating thinking frameworks within functional silos—engineers with systems thinking, designers with design thinking, analysts with computational thinking—effective organizations develop framework awareness and translation capabilities that enable productive dialogue across perspectives.

The bibliometric evidence makes clear that ways of thinking are not passing fads but enduring frameworks with substantial scholarly foundations and growing practical application. Their distribution across the Sustainable Development Goals indicates relevance for addressing humanity's most complex challenges, from climate change to inequality to health. Organizations that strategically cultivate appropriate thinking capabilities position themselves to navigate uncertainty, solve complex problems, and create sustainable value for diverse stakeholders.

References

1. Abrami, P. C., Bernard, R. M., Borokhovski, E., Waddington, D. I., Wade, C. A., & Persson, T. (2015). Strategies for teaching students to think critically: A meta-analysis. Review of Educational Research, 85(2), 275-314.

2. Akpur, U. (2020). Critical, reflective, creative thinking and their reflections on academic achievement. Thinking Skills and Creativity, 37, 100683.

3. Amabile, T. M., & Pratt, M. G. (2016). The dynamic componential model of creativity and innovation in organizations: Making progress, making meaning. Research in Organizational Behavior, 36, 157-183.

4. Anderson, N., Potočnik, K., & Zhou, J. (2014). Innovation and creativity in organizations: A state-of-the-science review, prospective commentary, and guiding framework. Journal of Management, 40(5), 1297-1333.

5. Arnold, R. D., & Wade, J. P. (2015). A definition of systems thinking: A systems approach. Procedia Computer Science, 44, 669-678.

6. Bate, P., & Robert, G. (2006). Experience-based design: From redesigning the system around the patient to co-designing services with the patient. BMJ Quality & Safety, 15(5), 307-310.

7. Batey, M., Chamorro-Premuzic, T., & Furnham, A. (2009). Intelligence and personality as predictors of divergent thinking: The role of general, fluid and crystallised intelligence. Thinking Skills and Creativity, 4(1), 60-69.

8. Brenner, W., Uebernickel, F., & Abrell, T. (2016). Design thinking as mindset, process, and toolbox: Experiences from research and teaching at the University of St. Gallen. In H. Plattner, C. Meinel, & L. Leifer (Eds.), Design thinking research (pp. 3-21). Springer.

9. Brick, C., Hood, B., Ekroll, V., & De-Wit, L. (2022). Illusory essences: A bias holding back theorizing in psychological science. Perspectives on Psychological Science, 17(2), 491-506.

10. Brown, T. (2009). Change by design: How design thinking transforms organizations and inspires innovation. HarperBusiness.

11. Butterworth, J., & Thwaites, G. (2013). Thinking skills: Critical thinking and problem solving (2nd ed.). Cambridge University Press.

12. Cabrera, D., Cabrera, L., Powers, E., Solin, J., & Kushner, J. (2015). Applying systems thinking models of organizational design and change in community operational research. European Journal of Operational Research, 242(3), 846-858.

13. Carlgren, L., Rauth, I., & Elmquist, M. (2016). Framing design thinking: The concept in idea and enactment. Creativity and Innovation Management, 25(1), 38-57.

14. Cooperrider, D. L., & Whitney, D. (2005). Appreciative inquiry: A positive revolution in change. Berrett-Koehler.

15. Cremin, T., Burnard, P., & Craft, A. (2006). Pedagogy and possibility thinking in the early years. Thinking Skills and Creativity, 1(2), 108-119.

16. Crilly, N. (2025). Critical thinking, creative thinking, systems thinking and many more: A comparative bibliometric analysis of prevalence and distribution. Thinking Skills and Creativity, 59, 102014.

17. Crilly, N. (2024). Ways of thinking: From cliché to insight. Cambridge University Press.

18. Csikszentmihalyi, M. (2014). Flow and the foundations of positive psychology. Springer.

19. Dalal, D. K., Diab, D. L., Tindale, R. S., & Bonaccio, S. (2021). Using laypeople's perceptions to identify the content domain of critical thinking. Thinking Skills and Creativity, 40, 100812.

20. Dwyer, C. P., Hogan, M. J., & Stewart, I. (2014). An integrated critical thinking framework for the 21st century. Thinking Skills and Creativity, 12, 43-52.

21. Edmondson, A. C. (2018). The fearless organization: Creating psychological safety in the workplace for learning, innovation, and growth. Wiley.

22. English, L. D. (2023). Ways of thinking in STEM-based problem solving. ZDM Mathematics Education, 55(7), 1219-1230.

23. Ennis, R. H. (2018). Critical thinking across the curriculum: A vision. Topoi, 37(1), 165-184.

24. Entwistle, N. (2019). Student learning and academic understanding: A research perspective with implications for teaching. Academic Press.

25. Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100(3), 363-406.

26. European Commission. (2022). GreenComp: The European sustainability competence framework. Publications Office of the European Union.

27. Foster-Fishman, P. G., Nowell, B., & Yang, H. (2007). Putting the system back into systems change: A framework for understanding and changing organizational and community systems. American Journal of Community Psychology, 39(3), 197-215.

28. Gehl, J. (2010). Cities for people. Island Press.

29. Grohs, J. R., Kirk, G. R., Soledad, M. M., & Knight, D. B. (2018). Assessing systems thinking: A tool to measure complex reasoning through ill-structured problems. Thinking Skills and Creativity, 28, 110-130.

30. Grover, S., & Pea, R. (2013). Computational thinking in K–12: A review of the state of the field. Educational Researcher, 42(1), 38-43.

31. Halpern, D. F., & Dunn, D. S. (2021). Thought and knowledge: An introduction to critical thinking (6th ed.). Routledge.

32. Hanfstingl, B., Benke, G., & Zhang, Y. (2024). Comparing constructs instead of labels: Implications of jingle-jangle fallacies for construct proliferation and accumulative theorizing. Perspectives on Psychological Science, 19(1), 114-133.

33. Henriksen, D., Richardson, C., & Mehta, R. (2017). Design thinking: A creative approach to educational problems of practice. Thinking Skills and Creativity, 26, 140-153.

34. Hoegl, M., & Parboteeah, K. P. (2006). Team reflexivity in innovative projects. R&D Management, 36(2), 113-125.

35. Hrin, T. N., Sherard, M. K., Kholina, E., Knight, D. B., Grohs, J., & McNair, L. D. (2017). Exploring relationships between instruction and student performance in systems thinking. In 2017 ASEE Annual Conference & Exposition. ASEE.

36. Huang, P. S., Peng, S. L., Chen, H. C., Tseng, L. C., & Hsu, L. C. (2020). The relative influences of domain knowledge and domain-general divergent thinking on scientific creativity and mathematical creativity. Thinking Skills and Creativity, 35, 100647.

37. Kahneman, D., Sibony, O., & Sunstein, C. R. (2021). Noise: A flaw in human judgment. Little, Brown.

38. Kaur, H., & Craven, R. (2022). Seeking clarity about systems thinking: An ontological view. Systems Research and Behavioral Science, 39(1), 193-207.

39. Kimbell, L. (2011). Rethinking design thinking: Part I. Design and Culture, 3(3), 285-306.

40. Ku, K. Y. (2009). Assessing students' critical thinking performance: Urging for measurements using multi-response format. Thinking Skills and Creativity, 4(1), 70-76.

41. Ledford, H. (2016). Cancer immunologists scoop medicine Nobel prize. Nature, 538(7625), 302-303.

42. Lewandowsky, S., Ecker, U. K., Seifert, C. M., Schwarz, N., & Cook, J. (2020). Misinformation and its correction: Continued influence and successful debiasing. Psychological Science in the Public Interest, 13(3), 106-131.

43. Lewis, A., & Smith, D. (1993). Defining higher order thinking. Theory into Practice, 32(3), 131-137.

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

45. Nakamura, H. (1991). Ways of thinking of Eastern peoples: India, China, Tibet, Japan. University of Hawaii Press.

46. Nguyen, D., Nguyen, M., Williams, M., & Yeung, A. (2020). Improving problem solving through reflection in mathematics. International Journal of Mathematical Education in Science and Technology, 51(6), 842-857.

47. Pande, M., & Bharathi, S. V. (2020). Theoretical foundations of design thinking: A constructivism learning approach to design thinking. Thinking Skills and Creativity, 36, 100637.

48. Patel, V. L., & Mehta, N. (2017). Systems thinking in action: Comparing novice and expert clinical reasoning in diabetes management. In R. R. Hoffman, P. A. Hancock, M. W. Scerbo, R. Parasuraman, & J. L. Szalma (Eds.), The Cambridge handbook of applied perception research (pp. 635-655). Cambridge University Press.

49. Perkins, D. N., & Salomon, G. (1989). Are cognitive skills context-bound? Educational Researcher, 18(1), 16-25.

50. Rasiel, E. M. (1999). The McKinsey way: Using the techniques of the world's top strategic consultants. McGraw-Hill.

51. Reiter-Palmon, R., & Illies, J. J. (2004). Leadership and creativity: Understanding leadership from a creative problem-solving perspective. The Leadership Quarterly, 15(1), 55-77.

52. Royal Academy of Engineering. (2024). Engineers 2030: Skills for the future. Royal Academy of Engineering.

53. Şahin, A., Top, N., & Delen, E. (2024). Teachers and teacher educators' perceptions of computational thinking. Thinking Skills and Creativity, 51, 101446.

54. Sandhu, R., Bagheri, M., & Sidhu, S. (2025). Entrepreneurial thinking in engineering education: A systematic literature review. Thinking Skills and Creativity, 51, 101449.

55. Scalabrino, C. (Ed.). (2022). GreenComp: The European sustainability competence framework. Publications Office of the European Union.

56. Senge, P. M. (2006). The fifth discipline: The art and practice of the learning organization (Rev. ed.). Doubleday.

57. Silvia, P. J. (2011). Subjective scoring of divergent thinking: Examining the reliability of unusual uses, instances, and consequences tasks. Thinking Skills and Creativity, 6(1), 24-30.

58. Sterman, J. D. (2006). Learning from evidence in a complex world. American Journal of Public Health, 96(3), 505-514.

59. Subramaniam, S., Moinuddin, A., Lee, J., Nathan, M. J., Swanson, H., & Walkington, C. (2024). Connecting critical, creative, and computational thinking in mathematics education: Theoretical foundations and illustrative examples. Journal of Educational Psychology, 116(1), 1-16.

60. Sun, L., Hu, L., & Zhou, D. (2021). Programming attitudes predict computational thinking: Analysis of differences in gender and programming experience. Thinking Skills and Creativity, 42, 100922.

61. Thomke, S., & Fujimoto, T. (2000). The effect of "front-loading" problem-solving on product development performance. Journal of Product Innovation Management, 17(2), 128-142.

62. Thornhill-Miller, B., Camarda, A., Mercier, M., Burkhardt, J. M., Morisseau, T., Bourgeois-Bougrine, S., ... & Lubart, T. (2023). Creativity, critical thinking, communication, and collaboration: Assessment, certification, and promotion of 21st century skills for the future of work and education. Journal of Intelligence, 11(3), 54.

63. Wang, A. Y. (2012). Exploring the relationship of creative thinking to reading and writing. Thinking Skills and Creativity, 7(1), 38-47.

64. Wechsler, S. M., Saiz, C., Rivas, S. F., Vendramini, C. M., Almeida, L. S., Mundim, M. C., & Franco, A. (2018). Creative and critical thinking: Independent or overlapping components? Thinking Skills and Creativity, 27, 114-122.

65. Willingham, D. T. (2008). Critical thinking: Why is it so hard to teach? Arts Education Policy Review, 109(4), 21-32.

66. World Economic Forum. (2025). The future of jobs report 2025. World Economic Forum.

67. Yuen, B., & Kong, L. (2009). Climate change and urban planning in Southeast Asia. S.A.P.I.E.N.S, 2(3), 1-10.

---

Jonathan H. Westover, PhD is Chief Academic & Learning Officer (HCI Academy); Associate Dean and Director of HR Programs (WGU); Professor, Organizational Leadership (UVU); OD/HR/Leadership Consultant (Human Capital Innovations). Read Jonathan Westover's executive profile here.

---

Suggested Citation: Westover, J. H. (2026). How Emerging Technologies Can Foster Human Connections at Work. Human Capital Leadership Review, 29(4). doi.org/10.70175/hclreview.2020.29.4.5