Dynamic Capabilities Framework - Teece, Pisano, & Shuen (1997)

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Why Was the Model Created?

Teece, Pisano & Shuen (1997) open (p.509) with the question “how firms achieve and sustain competitive advantage” in a Schumpeterian world of innovation-based competition, price/performance rivalry, increasing returns, and the “creative destruction” of existing competences. The paper argues that then-dominant frameworks handled sustaining and safeguarding extant advantage well but had performed less well on how firms build advantage under rapid change.

The paper positions itself against three precursor paradigms that it reviews and critiques under the named headings “Models of Strategy Emphasizing the Exploitation of Market Power” (p.511) and “Models of Strategy Emphasizing Efficiency” (p.513), before introducing the dynamic capabilities approach (p.515):

• Models of strategy emphasizing market power - the Competitive Forces approach (Porter, 1980) and Strategic Conflict game-theoretic approach (Shapiro, 1989) - emphasize industry structure and strategic interaction, but treat firms inside an industry as relatively interchangeable.
• Models of strategy emphasizing efficiency - the Resource-Based Perspectives (Penrose, 1959; Rumelt, 1984; Wernerfelt, 1984, 1989; Teece, 1984) - emphasize firm-specific assets and idiosyncratic efficiency, but treat competences and asset positions as relatively static.
• Dynamic capabilities approach - proposed by this paper - adds the ability to adapt, integrate, and reconfigure competences as external conditions change.

Teece et al.’s specific argument is that in regimes of rapid technological change, private wealth creation depends “in large measure on honing internal technological, organizational, and managerial processes inside the firm” rather than on strategizing in the game-theoretic sense (abstract, p.509). The paper presents the framework conceptually (pp.509-527) and closes with a Conclusion section (pp.527-530) comparing the four paradigms on efficiency vs. market power and drawing normative implications for strategic management.

What Does the Model Measure?

Teece, Pisano & Shuen (1997) is a conceptual framework paper, not a measurement model. It does not propose scales, latent constructs, or formal empirical operationalizations. Instead, it proposes a vocabulary - the three Ps(processes, positions, paths) - for analyzing the sources of competitive advantage in regimes of rapid change, and a definition of dynamic capabilitiesthat sits above the resource-based view’s inventory of static resources.

The paper’s canonical definition (p.516): dynamic capabilities are “the firm’s ability to integrate, build, and reconfigure internal and external competences to address rapidly changing environments”. This is the verbatim 1997 definition. A popular later refinement by Teece (2007) reorganized the same logic into three microfoundations - sensing, seizing, and reconfiguring/transforming- which are widely attributed to this 1997 paper but are actually the 2007 paper’s framing (Teece, 2007, “Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance”, SMJ 28:13, pp.1319-1350).

The 1997 paper’s analytical method is: (i) review three precursor paradigms of strategy (competitive forces, strategic conflict, resource-based) and their limits; (ii) define the hierarchy of firm-level factors that might generate advantage; (iii) identify the three Ps that shape dynamic capabilities; (iv) discuss replicability and imitatability and illustrate the argument with firm-level examples drawn from technology-intensive settings (including semiconductors, information services, and software, p.515).

Core Concepts and Definitions

Teece, Pisano & Shuen (1997, pp.515-518) lay out an explicit vocabulary with six levels, distinguishing dynamic capabilities from other firm-level factors:

• Factors of production: Undifferentiated inputs available in disaggregate form in factor markets. Land, unskilled labor, capital. Lack a firm-specific component. Non-strategic (p.516).
• Resources:Firm-specific assets that are difficult or impossible to imitate - trade secrets, specialized production facilities, engineering experience. Difficult to transfer because of transactions costs, transfer costs, and tacit knowledge (p.516). The authors note they dislike the term “resource” but retain it to keep links to the RBV literature.
• Organizational routines / competences: Integrated clusters of firm-specific assets spanning individuals and groups that enable distinctive activities. Examples include quality, miniaturization, and systems integration (p.516). Typically viable across multiple product lines.
• Core competences:Competences that define a firm’s fundamental business; must be derived by looking across the firm’s and competitors’ product ranges (p.516, Footnote 24 gives Kodak=imaging, IBM=integrated data processing, Motorola=untethered communications as illustrative examples).
• Dynamic capabilities:“The firm’s ability to integrate, build, and reconfigure internal and external competences to address rapidly changing environments” (p.516). Reflect an organization’s ability to achieve new and innovative forms of competitive advantage given path dependencies and market positions (Leonard-Barton, 1992).
• Products: The final goods and services produced by the firm, drawing on the competences that it possesses. The performance (price, quality) of products at any point in time depends on competences, which in turn depend on capabilities (p.516).

The paper’s central analytical device is the three Ps- processes, positions, paths - which together shape a firm’s competences and dynamic capabilities (p.518):

• Processes (managerial and organizational): The way things are done in the firm - routines, patterns of current practice and learning. Processes have three roles: coordination/integration (a static concept),learning (dynamic), and reconfiguration (transformational) (p.518-524).
• Positions:The firm’s current specific endowments of technology, intellectual property, complementary assets, customer base, and external relations with suppliers and complementors. The paper enumerates eight illustrative asset classes: technological, complementary, financial, reputational, structural, institutional, market-structure, and organizational-boundary assets (p.521-523).
• Paths: The strategic alternatives available to the firm, and the presence or absence of increasing returns and path dependencies. Where a firm can go is a function of its current position and the paths ahead; current position is often shaped by the path traveled (p.522-524).

Note on terminology: the 1997 paper does notuse the “sensing - seizing - reconfiguring” vocabulary that has since become the popular summary of dynamic capabilities. That restatement is Teece (2007). The 1997 paper’s equivalent locution is “integrate, build, and reconfigure”, with the three Ps as the organizing substructure.

Preceding Models or Theories

Teece, Pisano & Shuen (1997) synthesize and cite a substantial body of prior work. The most important precursors they credit:

• Resource-Based Perspective (Penrose, 1959; Wernerfelt, 1984, 1989; Rumelt, 1984; Barney, 1991): The “models of strategy emphasizing efficiency” strand. Supplies the firm-specific-asset foundation on which dynamic capabilities builds. Teece et al. explicitly position dynamic capabilities as an extension of RBV, not a replacement.
• Competitive forces / industry structure (Porter, 1980, 1985): The first of the three paradigms reviewed in Section I. Supplies the language of industry structure, entry deterrence, and positioning. Teece et al. retain the environmental-analysis concerns but shift the analytical focus inside the firm.
• Strategic conflict / game-theoretic approach (Shapiro, 1989; Ghemawat, 1991): The second paradigm reviewed. Supplies the sequential-move and commitment framework. Teece et al. argue it is most powerful when rivals have roughly equal competences and least powerful when firms differ fundamentally in capabilities.
• Evolutionary economics / organizational routines (Nelson & Winter, 1982): Central reference. Supplies the concept of organizational routines as the unit of analysis for competence and for evolutionary selection. Cited repeatedly throughout the paper (pp.510, 515, 520, 525).
• Organizational learning (Argyris & Schön, 1978; Levitt & March, 1988; Leonard-Barton, 1992): Supplies the theoretical grounding for the “learning” role of organizational processes. Leonard-Barton’s core-capabilities treatment is particularly important for the definition of dynamic capabilities (p.516).
• Increasing returns and path dependency (Arthur, 1983; David, 1985): Cited on p.523 in the discussion of increasing returns and lock-in. Supplies the argument that path dependencies matter most where conditions of increasing returns obtain. Essential to the “paths” leg of the three-Ps framework.
• Core competencies (Prahalad & Hamel, 1990): Supplies the “core competence” vocabulary that the paper builds on and refines (p.516 defines core competences by reference to this literature).
• Teece on complementary assets and appropriability (Teece, 1986): Teece’s own earlier paper on profiting from technological innovation. Supplies the argument that successful commercialization requires complementary assets, a central theme in the Positions discussion.

Describe The Model

Teece, Pisano & Shuen (1997) develop the framework in four steps: (1) review and critique three precursor paradigms of strategy under the named headings “Models of Strategy Emphasizing the Exploitation of Market Power” and “Models of Strategy Emphasizing Efficiency” (pp.509-515); (2) lay out a hierarchical vocabulary of firm-level factors (pp.515-517); (3) advance the three-Ps argument - competitive advantage is shaped by processes, positions, and paths (pp.518-524); (4) discuss replicability and imitatability and close with normative implications for strategic management (pp.524-530). The paper is conceptual throughout and draws on firm-level examples (IBM, Texas Instruments, Philips, Toyota, Chrysler, Microsoft, Intel, and others) rather than formal case studies.

Three precursor paradigms critiqued (pp.509-515)

• Competitive forces (Porter, 1980): Industry structure - the five forces of rivalry, supplier power, buyer power, entry threat, and substitute threat - determines firm performance. Strategy is industry selection and positioning. Critique: treats firms as relatively interchangeable within an industry and is silent on within-industry performance dispersion.
• Strategic conflict / game-theoretic approach (Shapiro, 1989; Ghemawat, 1991): Strategy is understood through the lens of sequential-move and commitment games between rivals. Critique: treats strategy as chess against adversaries; produces elegant theorems but gives little guidance when firms differ in capabilities, not just moves.
• Resource-based perspectives (Penrose, 1959; Rumelt, 1984; Wernerfelt, 1984, 1989; Teece, 1984): Competitive advantage comes from firm-specific assets that are difficult to imitate. Critique: useful but relatively static - explains persistence of advantage, not how firms build new competences under rapid technological change.

The three Ps: processes, positions, paths (pp.518-524)

“We thus advance the argument that the competitive advantage of firms lies with its managerial and organizational processes, shaped by its (specific) asset position, and the paths available to it” (p.518).

• Processes: The way things are done in the firm - routines and patterns of current practice and learning. Three roles (p.518-520):
  • Coordination / integration(static): how efficiently the firm coordinates internal and external activity. Empirical support from Garvin (1988) on air-conditioner quality, Clark & Fujimoto (1991) on auto development, and Fujimoto (1994) on lean production.
  • Learning(dynamic): processes by which repetition and experimentation enable tasks to be performed better and faster, and new opportunities identified. Rooted in Nelson & Winter (1982), Argyris & Schön (1978), Levitt & March (1988), Leonard-Barton (1995).
  • Reconfiguration and transformation: ability to sense the need to reconfigure and accomplish the necessary internal and external transformation. Requires constant surveillance of markets and technologies, and willingness to adopt best practice (p.520).
• Positions:Specific asset endowments that shape the firm’s strategic posture. Eight illustrative classes (p.521-523): technological assets, complementary assets, financial assets,reputational assets, structural assets (formal/informal structure and governance), institutional assets (regulatory, IP regimes, education systems), market-structure assets, and organizational boundaries(degree of integration).
• Paths:Strategic alternatives given current position and the paths ahead. Path dependencies matter when conditions of increasing returns exist (Arthur, 1983). Technological opportunities matter - they are often not exogenous to the firm but shaped by the firm’s R&D activities and the state of applied science. Replicability and imitatability (the ease with which competitors can copy) determine how quickly advantage erodes.

Illustrative mechanisms the paper highlights

• Replicability vs. imitatability:Replicability is the firm’s ability to expand internally by copying its own operations; imitatability is the competitor’s ability to copy the firm’s operations. Both are harder when routines are tacit and organizationally embedded (p.525-527).
• Complementary assets: Following Teece (1986), successful commercialization often requires complementary assets (manufacturing, distribution, reputation). A firm with a novel competence but without complementary assets may fail to capture the rents.
• Interdependence of processes, positions, and paths:Dynamic capabilities arise from how the firm’s processes are shaped by its asset positions and molded by its evolutionary and co-evolutionary paths (p.518); reconfiguration involves rebuilding these links when conditions change.

On the “sense, seize, reconfigure” vocabulary

Many textbook summaries of dynamic capabilities reduce the framework to “sensing, seizing, and reconfiguring / transforming”. That reduction comes from Teece (2007), which explicated the microfoundations of dynamic capabilities. It is a valid later restatement, but it is notwhat the 1997 paper says - the 1997 paper uses the three Ps as its organizing substructure and “integrate, build, and reconfigure” as its definitional verb triplet. Be careful not to retroject 2007 vocabulary onto the 1997 paper.

Main Strengths

• Addresses RBV limitations: Extends Resource-Based View to dynamic environments by explaining how organizations sustain competitive advantage when resources continuously become outdated.
• Explains within-industry heterogeneity in dynamic environments: Accounts for why some organizations thrive amid technological disruption while others falter. Organizations differ not just in resource positions but in capabilities for adaptation and renewal.
• Integrates external and internal perspectives: The three-Ps framework combines external opportunity structure (paths, co-specialized positions) with internal capabilities and processes (routines, learning, and reconfiguration).
• Acknowledges path dependency: Recognizes that historical choices constrain future options while emphasizing that organizations can influence future possibilities through current decisions.
• Emphasizes process capabilities: Highlights that organizational capabilities for adaptation, learning, and decision-making create competitive value beyond static resources.
• Applicable to technology-intensive industries: Provides powerful explanatory framework for competitive dynamics in industries characterized by rapid technological change.

Main Weaknesses

• Complex to operationalize:The three Ps (processes, positions, paths) and the hierarchy of factors-to-capabilities are difficult to measure and observe empirically. Boundaries between “competences”, “core competences”, and “dynamic capabilities” remain contested. Eisenhardt & Martin (2000) was one of several follow-up papers responding specifically to this operationalization gap.
• Limited empirical test in the paper itself:The 1997 paper relies on illustrative firm-level examples (Xerox, IBM, semiconductor firms, Japanese auto makers) rather than systematic empirical tests. Teece et al. explicitly call the piece “conceptual” and identify empirical validation as a research agenda, not a deliverable.
• Tautology risk: Similar to RBV, the framework can risk tautology: if a firm performs well in rapid change we infer it has good dynamic capabilities, and if it has good dynamic capabilities we expect it to perform well. Independent measurement of the three Ps is required to break the circle.
• Scope limited to rapid-change environments: The framework is explicitly aimed at regimes of rapid technological change (pharmaceuticals, semiconductors, consumer electronics). Its value-added in stable or slow-changing industries is modest; the 1997 paper does not claim otherwise.
• Processes vs. positions vs. paths are interdependent: The three Ps are presented as analytically distinct but empirically co-determine one another (current position shapes available processes, paths taken shape current position, and so on). This makes causal inference difficult.
• No formal treatment of failure: The paper focuses on how successful dynamic capabilities generate advantage; it does not formally treat when reconfiguration fails, produces negative returns, or generates core rigidities (Leonard-Barton, 1992, is acknowledged but not developed).
• Path-dependency and managerial agency tension: The paper simultaneously emphasizes strong path dependency and managerial ability to reconfigure. The boundary between these two is not sharp; the paper cites Pisano (1994) on the depth-of-knowledge question (p.525, footnote 56) but does not resolve this tension.

Key Contributions

The specific contributions of Teece, Pisano & Shuen (1997) to the strategic management literature:

• Canonical definition of dynamic capabilities:“The firm’s ability to integrate, build, and reconfigure internal and external competences to address rapidly changing environments” (p.516). This definition has become the most-cited definition in the dynamic capabilities literature.
• Three-Ps organizing framework: Established processes, positions, and paths as the three interacting sources of competence and dynamic capabilities (p.518). The three Ps remain the dominant organizing device of the 1997 paper, distinct from the sensing-seizing-reconfiguring vocabulary popularized by Teece (2007).
• Hierarchy of firm-level factors: Distinguished factors of production, resources, routines/competences, core competences, dynamic capabilities, and products as six analytically distinct levels (p.515-517). This hierarchy is used to separate dynamic capabilities from lower-order concepts.
• Three-paradigm synthesis: Reviewed the competitive forces, strategic conflict, and resource-based paradigms and located dynamic capabilities as a fourth paradigm addressing rapid change - a synthesis widely adopted in strategy teaching.
• Three roles of organizational processes: Coordination/integration (static), learning (dynamic), and reconfiguration (transformational) (p.518-520). Gave empirical researchers named, distinct process functions to operationalize.
• Eight asset classes for “positions”: Technological, complementary, financial, reputational, structural, institutional, market (structure), and organizational-boundary assets (p.521-523). A useful typology that has influenced subsequent capabilities research.
• Replicability vs. imitatability distinction:Separated the firm’s internal-expansion challenge from the competitor’s imitation challenge (p.525-527). Both depend on how tacit and socially embedded the relevant routines are.
• Schumpeterian-rent framing: Reframed competitive advantage in regimes of rapid technological change in terms of Schumpeterian innovation rents, pulling strategic management closer to evolutionary economics.
• Foundation for the dynamic capabilities tradition:Provided the conceptual ground from which Eisenhardt & Martin (2000), Zollo & Winter (2002), Helfat & Peteraf (2003), and Teece (2007) subsequently built; also for the sensing-seizing-reconfiguring microfoundations treatment (Teece, 2007), which is often incorrectly attributed to the 1997 paper.

Internal Validity

Teece, Pisano & Shuen (1997) is a conceptual paper. Its internal validity is therefore assessed as logical coherence and fidelity to the literature it synthesizes, not as statistical validity. The paper is careful about attribution and limits:

• Logical consistency:The argument chain - three precursor paradigms reviewed, their limits identified, hierarchy of firm-level factors defined, three Ps introduced as interacting sources of competence, definitional verb triplet “integrate, build, reconfigure” proposed - is internally coherent. Each step follows the previous.
• Integration with empirical observation: The framework emerged from empirical investigation of how semiconductor, pharmaceutical, and biotechnology firms managed innovation and adaptation. Proposed mechanisms reflect observed organizational practices in these industries.
• Consistency with organizational learning theory: The framework incorporates established insights from organizational learning theory about how organizations develop capabilities, learn from experience, and adapt to environmental changes.
• Addresses documented organizational challenges: The framework explains well-documented phenomena: why incumbent firms struggle with disruptive innovation, why startup firms sometimes outpace established competitors despite having fewer resources, and why organizational success in one era sometimes predicts organizational failure in the next era.
• Acknowledges path dependency: Explicit recognition of path dependency and historical constraint on organizational options reflects organizational reality and prevents unfounded claims of unlimited strategic optionality.
• Balance of mechanism specificity: The framework is specific enough to distinguish processes, positions, and paths as different sources of capability, yet flexible enough to encompass diverse organizational forms and industry contexts.
• Careful terminology with admitted discomfort:The authors note they “do not like the term ’resource’ and believe it is misleading” (p.516 footnote 23) but retain it to preserve links to the RBV literature. This kind of flagged-tension is good scholarly practice and is preserved on this page.
• Known internal-validity limitations:The paper is largely illustrative rather than formal. Many of the causal claims (e.g. “distinctive coordinative routines drive quality performance”) are supported by field studies (Garvin 1988; Clark & Fujimoto 1991) but not by statistical tests within this paper itself.

External Validity

External validity considerations concern generalizability of Dynamic Capabilities framework across diverse organizational contexts and competitive environments:

• Industry-dependent applicability: The framework is particularly well-suited to technology-intensive industries characterized by rapid technological change and dynamic competitive conditions. Applicability to stable, mature industries with predictable competitive dynamics may be more limited.
• Organizational size variation: The framework may apply differently to large, established organizations with formalized capabilities compared to small, flexible startups with less formal capabilities but potentially greater adaptive flexibility.
• Measurement and empirical validation challenges:Operationalizing the three Ps (processes, positions, paths) and establishing empirical relationships between them and performance remains methodologically challenging. Proposed mechanisms are difficult to measure directly; Eisenhardt & Martin (2000), Zollo & Winter (2002), and subsequent empirical work attempted to narrow this gap.
• Causality direction uncertain: While the framework proposes that dynamic capabilities enable adaptation, establishing clear causality (do organizations with strong capabilities adapt faster, or does successful adaptation build stronger capabilities?) is complicated.
• Cultural and national context variation: The framework was developed in Western research traditions studying American and European technology firms. Applicability to different cultural contexts, governance systems, or national economies requires investigation.
• Organizational structure variation:The framework assumes certain organizational structural characteristics (decentralized decision-making, cross-functional teams, tight coupling between R&D and manufacturing) enable reconfiguration. Organizations with highly centralized decision structures may struggle to leverage dynamic capabilities even when they recognize the need.
• Resource constraint effects: The framework assumes organizations have adequate resources to sense opportunities, evaluate opportunities, and execute strategies. Severely resource-constrained organizations may lack capacity to fully implement the framework.
• Institutional and regulatory context: In heavily regulated industries or environments with significant institutional constraints, the freedom to reconfigure resources and adapt may be more limited than the framework assumes.

Relevance to Technology Adoption

Applied to organizational technology adoption, the Teece, Pisano & Shuen (1997) framework treats adoption as a function of the adopter’s three Ps: its processes for evaluating, integrating, and learning about new technology; its positions in the relevant technological, complementary, and institutional asset classes; and the paths available to it given its history of prior technology adoption and investment. Organizations with strong coordinative, learning, and reconfiguring processes (the three roles of organizational processes on pp.518-520) tend to integrate new technology faster and more durably. Organizations with favorable complementary-asset positions (Teece, 1986) can capture more of the rents from the technology. Organizations with history-conditioned paths of cumulative know-how can sometimes leverage new technology better than rivals starting from similar positions but without the cumulative path.

Barriers to Technology Adoption Identified

• Weak coordinative / integrative processes:Organizations that cannot coordinate internal functions (engineering, operations, marketing) or external partners (suppliers, complementors) struggle to integrate new technologies into production. Empirical examples in the paper include differences in new-product-development cycle times between firms (Clark & Fujimoto, 1991).
• Weak learning processes:Organizations that do not capture and codify experience across repeated uses of a technology fail to improve speed and quality over time (Nelson & Winter, 1982; Leonard-Barton, 1995, cited p.520 footnote 41).
• Limited reconfiguration capacity: Organizations embedded in entrenched routines cannot rearrange internal structure, processes, and external linkages as the technology or its market shifts. Core rigidities (Leonard-Barton, 1992) and organizational inertia constrain reconfiguration.
• Missing complementary assets: Organizations that possess a technology but lack the complementary manufacturing, distribution, or marketing assets (Teece, 1986) often fail to appropriate rents from the technology - other players capture them instead.
• Unfavorable path dependencies: Legacy technology commitments, prior capital investments, and accumulated routines can lock an organization into paths that made sense historically but foreclose current adoption options (Arthur, 1983; David, 1985).
• Imitatability of capability by rivals: Even when the focal firm has adopted successfully, if its adoption routines are easily imitatable (low tacitness, low social complexity), rivals can replicate quickly and erode any first-mover advantage.
• Institutional / regulatory constraints: In sectors where institutional assets (regulation, IP regime, national innovation system) restrict how technology can be deployed, the freedom to reconfigure around the new technology is limited regardless of internal capability.

Leadership Actions the Framework Prescribes

• Invest in coordinative processes: Build cross-functional and cross-organizational coordination capability - structures, shared information systems, incentive alignment - that let the firm integrate external technology into internal operations quickly.
• Invest in learning processes: Put in place systems for capturing, codifying, and sharing what is learned during each adoption cycle - pilots, post-implementation reviews, centers of expertise.
• Build reconfiguration capacity: Develop explicit competence at reorganizing internal structure, process, and external partnerships as the technology or its market shifts. Avoid embedding current structure so deeply that future reconfiguration becomes prohibitive.
• Assess and assemble complementary assets: Before or during adoption, evaluate whether the complementary manufacturing, distribution, reputational, and institutional assets needed to appropriate rents are in place; build, lease, or partner for the missing ones.
• Manage paths with awareness: Recognize that technology choices commit the firm to paths with their own dependencies; make commitments with deliberate awareness of the increasing-returns dynamics (Arthur, 1983) that will reinforce or trap those choices.
• Make adoption routines tacit and socially complex: To the extent the firm wants sustained advantage from its adoption competence, rely on tacit, team-based, culturally embedded routines rather than on explicit procedures that rivals can easily observe and copy.
• Keep position and process aligned:The dynamic capabilities argument is that organizational processes are shaped by asset positions and molded by evolutionary paths (p.518). Don’t hire new capabilities without evolving the processes and the asset base they are meant to work with.

Following Models or Theories

Dynamic Capabilities theory has spawned significant theoretical developments and extensions building on and refining the original framework:

• Microfoundations of Dynamic Capabilities (Teece, 2007): Refined and extended dynamic capabilities theory by developing detailed microfoundations explaining which specific organizational routines, processes, and governance mechanisms enable sensing, seizing, and reconfiguring. This development addressed criticisms that dynamic capabilities were too abstract and difficult to observe.
• Organizational Agility Framework (Sambamurthy, Bharadwaj, & Grover, 2003): Applied dynamic capabilities concepts to information technology and organizational agility, exploring how information technology capabilities enable organizational sensing, decision-making, and responsive action.
• Ambidextrous Organization Theory (O’Reilly & Tushman, 2004, 2008): Extended dynamic capabilities to explain how organizations balance exploitation of existing capabilities with exploration of new opportunities, arguing that ambidexterity requires distinct organizational structures and management processes.
• Organizational Resilience Framework: Applied dynamic capabilities concepts to organizational resilience and disaster recovery, examining how organizational capabilities for sensing disruptions, deciding responses, and reconfiguring operations enable continuation through disruptions.
• Innovation Capability Models: Extended dynamic capabilities framework to detailed analysis of innovation processes, exploring how organizations develop capabilities for recognizing innovation opportunities, funding innovation projects, and integrating innovations into operations.
• Digital Transformation Capability Models: Applied dynamic capabilities framework to digital transformation, examining how organizations develop capabilities for sensing digital disruption risks, seizing digital opportunities, and reconfiguring business models and operations for digital-first competition.
• Evolutionary Strategy Theory: Integration of dynamic capabilities with evolutionary economics perspectives on how organizations adapt through variation, selection, and retention processes.
• Strategic Foresight and Scenario Planning: Extended dynamic capabilities framework to strategic foresight and scenario planning, examining how organizations improve sensing capabilities through structured approaches to exploring possible future conditions.

References

Works cited by Teece, Pisano & Shuen (1997) that are also referenced in-text on this page:

1. Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509-533. https://doi.org/10.1002/(SICI)1097-0266(199708)18:7%3C509::AID-SMJ882%3E3.0.CO;2-Z
2. Argyris, C., & Schön, D. A. (1978). Organizational learning. Addison-Wesley.
3. Arthur, W. B. (1983). On competing technologies and historical small events. IIASA Working Paper (later published as Arthur, 1989, Economic Journal).
4. Barney, J. B. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99-120. https://doi.org/10.1177/014920639101700108
5. David, P. A. (1985). Clio and the economics of QWERTY. American Economic Review, 75(2), 332-337.
6. Leonard-Barton, D. (1992). Core capabilities and core rigidities: A paradox in managing new product development. Strategic Management Journal, 13(S1), 111-125.
7. Levitt, B., & March, J. G. (1988). Organizational learning. Annual Review of Sociology, 14, 319-340.
8. Nelson, R. R., & Winter, S. G. (1982). An evolutionary theory of economic change. Harvard University Press.
9. Penrose, E. T. (1959). The theory of the growth of the firm. Oxford University Press.
10. Porter, M. E. (1980). Competitive strategy. Free Press.
11. Prahalad, C. K., & Hamel, G. (1990). The core competence of the corporation. Harvard Business Review, 68(3), 79-91.
12. Rumelt, R. P. (1984). Towards a strategic theory of the firm. In R. B. Lamb (Ed.), Competitive strategic management (pp. 556-570). Prentice-Hall.
13. Teece, D. J. (1986). Profiting from technological innovation: Implications for integration, collaboration, licensing and public policy. Research Policy, 15(6), 285-305.
14. Wernerfelt, B. (1984). A resource-based view of the firm. Strategic Management Journal, 5(2), 171-180.

Further Reading

The following works are notcited by Teece, Pisano & Shuen (1997). They represent the post-1997 dynamic-capabilities tradition and are listed here for readers tracing the development of the framework:

1. Teece, D. J. (2007). Explicating dynamic capabilities: The nature and microfoundations of (sustainable) enterprise performance. Strategic Management Journal, 28(13), 1319-1350. https://doi.org/10.1002/smj.640
2. Eisenhardt, K. M., & Martin, J. A. (2000). Dynamic capabilities: What are they? Strategic Management Journal, 21(10-11), 1105-1121.
3. Zollo, M., & Winter, S. G. (2002). Deliberate learning and the evolution of dynamic capabilities. Organization Science, 13(3), 339-351.
4. Helfat, C. E., & Peteraf, M. A. (2003). The dynamic resource-based view: Capability lifecycles. Strategic Management Journal, 24(10), 997-1010.
5. Sambamurthy, V., Bharadwaj, A., & Grover, V. (2003). Shaping agility through digital options. MIS Quarterly, 27(2), 237-263.
6. O’Reilly, C. A., & Tushman, M. L. (2004). The ambidextrous organization. Harvard Business Review, 82(4), 74-81.
7. Hamel, G., & Prahalad, C. K. (1989). Strategic intent. Harvard Business Review, 67(3), 63-76.

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