Warner & Wäger — Building Dynamic Capabilities for Digital Transformation
TL;DR
Qualitative interpretive study of seven incumbent German MNCs undergoing digital transformation, plus 18 in-depth interviews with senior strategy consultants. Develops a process model with nine microfoundations organized under Teece’s (2007) sense / seize / transform clusters of dynamic capabilities, contextualized for the digital age.
Core thesis: digital transformation is not a one-off project but an ongoing process of strategic renewal along three axes — (1) business model, (2) collaborative approach, (3) culture — driven by digital sensing/seizing/transforming capabilities.
Key claims
Definition of digital transformation (operationalized)
“Digital transformations are an ongoing process of using new digital technologies in everyday organizational life, which recognizes agility as the core mechanism for the strategic renewal of an organization’s (1) business model, (2) collaborative approach, and eventually the (3) culture.”
Process model — nine digital microfoundations
| Cluster | Microfoundation | Subcapabilities |
|---|---|---|
| Digital Sensing | Digital scouting | Scanning for tech trends; screening digital competitors; sensing customer-centric trends |
| Digital scenario planning | Analyzing scouted signals; interpreting digital future scenarios; formulating digital strategies | |
| Digital mindset crafting | Establishing long-term digital vision; enabling entrepreneurial mindset; promoting digital mindset | |
| Digital Seizing | Rapid prototyping | MVPs; lean-startup methodology; digital innovation lab |
| Balancing digital portfolios | Internal/external option balance; scaling innovative business models; appropriate execution speed | |
| Strategic agility | Rapid resource reallocation; accepting redirection; pacing strategic responses | |
| Digital Transforming | Navigating innovation ecosystems | Joining digital ecosystem; multi-partner interaction; new eco-system capabilities |
| Redesigning internal structures | Hiring CDO; business-model digitalization; team-based structures | |
| Improving digital maturity | Identifying workforce maturity; recruiting digital natives; leveraging internal digital knowledge |
Contextual factors
| External triggers | Internal enablers | Internal barriers |
|---|---|---|
| Disruptive digital competitors | Cross-functional teams | Rigid strategic planning |
| Changing consumer behaviors | Fast decision making | Change resistances |
| Disruptive digital technologies | Executive support | High level of hierarchy |
Three forms of strategic renewal (per case)
For each of the seven incumbents (pseudonyms), strategic renewal happens along three layers — examples from Table 3:
| Firm | Industry | Business model renewal | Collaborative approach | Culture |
|---|---|---|---|---|
| Motion AG | Automotive | Mobility services + AI/IoT/cloud | Enterprise social network removing silos | ”Technology leader and pioneering software company” |
| Powerhouse AG | Industrial | Industry 4.0 with digital services | Cross-functional “working out loud” | Innovation-driven ownership culture |
| Balance AG | Banking | Digital banking | External fintech ecosystem partnerships | Refreshed “family bankers” identity |
| Voice AG | Telecom | Cloud/IoT/big data services | Open innovation across whole company | Digital-innovation subsidiary |
| Energy AG | Energy | ”Prosumer” logic | Joint venture with prosumers | Digital innovation culture via JV |
| Drive AG | Automotive | Digitalization services + cloud | Co-creation with ecosystem | New digital innovations woven into corporate culture |
| Media AG | Media | Mass-media data analytics | Ecosystem-wide co-creation | Reinvented as mass-media data firm |
Teece dynamic capabilities — the underlying framework
- Ordinary capabilities = doing things right; replicable; outsourceable to the cloud → no longer durable competitive advantage.
- Dynamic capabilities = doing the right things; harder to replicate; govern the rate of change of ordinary capabilities.
- For digital transformation, dynamic capabilities specifically address how ML/IoT/cloud/blockchain change what is sensed, seized, and transformed.
Contributions
- Conceptual: empirically grounded definition of digital transformation as ongoing strategic renewal (vs. discrete project).
- Empirical: identifies subcapabilities that in isolation might be considered “ordinary,” but as a system constitute digital-based dynamic capabilities.
- Notes: business model adaptation alone is “nondigital-based strategic change”; the system of nine microfoundations is what makes it digital dynamic capability.
Methodology notes
- 21-month data collection (Oct 2016 – Aug 2017 fieldwork).
- Multiple-case study + cross-case analysis (Eisenhardt & Graebner 2007).
- Sources: 18 in-depth interviews + 17 strategy consultancy reports + 105 company news reports + 80 published reports + participant observation (Digitize Ltd. internship).
- Data analysis using NVivo, Gioia methodology (first-order concepts → second-order themes → aggregate dimensions).
- Cases pseudonymized: Motion AG, Powerhouse AG, Balance AG, Voice AG, Energy AG, Drive AG, Media AG.
Quotes worth saving
“Dynamic capabilities are about doing the right things, whereas ordinary capabilities are about doing things right.” — Teece & Leih (2016)
“Digital transformation describes a journey of a company trying to be equipped for the digital age […] Building and deploying these capabilities means digital transformation for me.” (Seize-Q-1)
“Firms can spend millions of dollars in their digital transformation, but if they don’t have a digital vision, then nothing will actually change.” (Connect-Q-2)
“It is really about thinking how do we get people to think about the same stuff with a different lens instead of thinking with the same lens about different things. Culture is also important in digital transformation.” (Redesign-Q-3)
Related in this wiki
- dynamic-capabilities — concept page anchored on this source
- Karl S.R. Warner, Maximilian Wäger — author entities
- David Teece — foundational dynamic-capabilities theorist (referenced)
- Long Range Planning — journal
- 2026-04-28-werner-lebrun-octopus-organization — also concerns adaptive vs. rigid org design under environmental change
- 2026-04-28-mit-sloan-ai-maturity — also stages-of-maturity view of digital transformation
- 2026-04-28-mittri-cisco-ai-enabled-enterprise — also five-foundations framework for transformation
- enterprise-ai-adoption — digital transformation precedes and frames AI adoption
- generative-ai — extends digital-transformation context to GenAI-era