Beyond OLI: How Multinationals Must Adapt to Disruptive Innovation and Dynamic Markets

Introduction: The New Global Business Reality

For decades, the OLI Eclectic Paradigm—ownership advantages, location factors, and internalization benefits—served as the intellectual backbone of international business (IB) theory. Developed by John Dunning in the 1970s, it explained why firms invest abroad and how they structure cross-border operations. Yet in 2025, that framework is showing deep stress fractures. Artificial intelligence is reshaping value chains, demographic shifts are redrawing labor markets, and hyper-connectivity is enabling startups to go global overnight. The world has entered what strategists call a VUCA environment—volatile, uncertain, complex, and ambiguous—and traditional global business models are struggling to keep pace.

A seminal 2025 study published in the Journal of Management and Strategy (JOMS) confronts this gap head-on. Through a multidisciplinary lens and qualitative case studies of multinational corporations (MNCs) that have successfully adapted, the research proposes a new framework centered on dynamic capabilities, innovation, and organizational agility. This article unpacks the study’s core findings and explores their practical implications for global strategy, offering actionable insights for leaders navigating constant disruption.

[IMAGE: A line graph showing declining relevance of OLI-based theories alongside rising adoption of dynamic capabilities, with a vertical line marking 2025.]

The Failings of the OLI Eclectic Paradigm

The OLI paradigm rests on three pillars. Ownership advantages refer to firm-specific assets like technology or brand reputation. Location factors explain why firms choose certain countries for production or R&D. Internalization benefits describe the logic of keeping operations within the firm rather than contracting out. In the industrial era, these explained much of MNC behavior. But in today’s digital and AI-driven economy, each pillar faces fundamental challenges.

First, ownership advantages are no longer stable. Digital platforms, data ecosystems, and intangible assets such as algorithms are dynamic and co-created with users. A company like ByteDance derives its ownership edge not from a proprietary factory or patent portfolio but from network effects and machine learning models that improve with every user interaction. These advantages are fluid and hard to protect through traditional internalization.

Second, location factors have been upended. Emerging market MNCs—such as India’s Infosys or China’s Shein—leverage digital infrastructure and supply chain agility to bypass the classic “location advantage” playbook. A born-global startup can launch in Jakarta, serve customers in São Paulo, and manage logistics from Warsaw, all within weeks. The traditional assumption that firms must locate near resources or markets is increasingly obsolete.

Third, internalization theory assumes that firms control operations to reduce transaction costs. But in an era of open innovation, platform ecosystems, and strategic alliances, MNCs often thrive by externalizing—sharing data, code, and capabilities with partners. Spotify’s hybrid model offers a stark counterexample: it integrates global music licensing while allowing local playlists and podcast curation, undermining the static view of internalization.

The JOMS study argues that OLI’s static, firm-centric logic cannot explain how modern MNCs create and capture value. As one researcher put it, “OLI was designed for a world of physical assets and linear value chains. We now live in a world of exponential value networks.”

[IMAGE: A side-by-side comparison diagram: left side shows a rigid pyramid labeled “OLI Paradigm” with cracks, right side shows a fluid, interconnected network labeled “Dynamic Capabilities Framework.”]

Case Studies of Adaptive MNCs: Agility in Action

To build their alternative framework, the JOMS researchers employed a qualitative exploratory methodology, analyzing three MNCs that have reinvented their business models in response to disruptive innovation.

Netflix: From DVD Rental to Global Content Empire

Netflix’s trajectory is a textbook example of business model adaptation. In 2007, it was a DVD-by-mail service competing with Blockbuster. By 2010, it had pivoted to streaming; by 2015, it began investing in original content; by 2025, it operates as a global entertainment platform with AI-driven recommendation engines, localized content production, and interactive storytelling. The study highlights two key success factors: a culture of experimentation (the company famously tests hundreds of interface variations daily) and decentralized decision-making that allows regional teams to tailor offerings without waiting for headquarters. Netflix’s ability to sense market shifts—from cord-cutting in the U.S. to mobile-first consumption in India—is powered by vast analytics infrastructure.

Siemens: Industrial Giant Goes Digital

Siemens, a 177-year-old German conglomerate, faced existential disruption from the rise of Industry 4.0 and the Internet of Things. Rather than clinging to its traditional hardware sales model, Siemens launched its Digital Industries division, investing heavily in AI-driven analytics, digital twins, and cloud-based platforms like MindSphere. The study notes that Siemens embedded innovation into its organizational DNA by creating “innovation hubs” that operate like startups—with minimal bureaucracy and fast iteration cycles. The result: today, software and digital services account for over 30% of its revenue, a figure unthinkable two decades ago.

Tencent: Ecosystem as Competitive Advantage

China’s Tencent offers a third archetype. Its WeChat platform evolved from a messaging app into a “super-app” encompassing payments, e-commerce, gaming, social media, and cloud services. Tencent’s success illustrates how MNCs from emerging markets can defy OLI assumptions. It did not need to internalize every function; instead, it built a vibrant ecosystem of third-party developers and partners. The company’s dynamic capability lies in its ability to sense user behavior changes and quickly integrate new features—often within weeks. The study identifies this “platform agility” as a new form of ownership advantage that is inherently collaborative and data-driven.

The common thread across these cases: adaptability is not just about reacting to disruption—it’s about embedding innovation into the organizational DNA. That requires a shift from static resource possession to dynamic resource orchestration.

[IMAGE: Three distinct company logos (Netflix, Siemens, Tencent) arranged in a circular flow, with arrows indicating business model evolution stages.]

A Multidisciplinary Framework: Dynamic Capabilities for a VUCA World

Drawing from these case studies, the JOMS research proposes a multidisciplinary framework that integrates three theoretical streams: dynamic capabilities theory (Teece, 2007), innovation management, and complexity science. The framework identifies three core organizational capacities that MNCs must develop to succeed in today’s environment:

1. Sensing: Detecting Weak Signals

In a VUCA environment, traditional market research is often too slow. Sensing involves using AI-driven analytics, social listening tools, and scenario planning to detect nascent trends—demographic shifts, regulatory changes, or competitor moves—before they become obvious. The study found that adaptive MNCs allocate at least 10–15% of their R&D budget to “exploratory sensing” activities, often through partnerships with universities or startup incubators.

2. Seizing: Rapid Resource Reconfiguration

Once an opportunity is sensed, the firm must redeploy resources quickly. This requires decentralized authority, flexible budgeting, and modular organizational structures. For example, Siemens’ digital innovation hubs can launch a new software product in 90 days, compared to 18 months under its old linear model. The framework emphasizes that seizing is not just about R&D speed—it’s about aligning incentives across global teams.

3. Transforming: Continuous Reinvention

The most difficult capability is the ability to transform the organization itself. This means shedding legacy practices, retraining talent, and sometimes cannibalizing existing revenue streams. Netflix’s decision to stop DVD sales despite it still being profitable is a classic example. The study notes that transformation requires strong leadership commitment and a culture that tolerates failure—a rare attribute in many established MNCs.

The framework explicitly incorporates the role of AI disruption as both a driver of change and a tool for adaptation. AI enables real-time sensing, automates routine decisions, and personalizes customer interactions at scale. But it also introduces new risks—algorithmic bias, job displacement, and cyber vulnerabilities—that MNCs must manage.

[IMAGE: A three-circle Venn diagram labeled “Sensing,” “Seizing,” “Transforming,” with overlapping areas showing “AI,” “Talent,” “Agility.”]

Implications for Supply Chain Resilience, Talent Strategies, and Competitive Advantage

The JOMS study’s findings have direct, actionable implications for MNC leaders.

Supply Chain Resilience

The pandemic and geopolitical tensions exposed the brittleness of “just-in-time” global supply chains. The new framework suggests that MNCs should shift to “dynamic resilience”—using AI to monitor supplier risks, dual-sourcing critical components, and building modular production networks that can quickly reconfigure. For example, one case in the study describes how a European auto manufacturer used predictive algorithms to reroute parts around a Suez Canal blockage within 48 hours, avoiding weeks of downtime.

Talent Strategies

Traditional MNC talent models—focused on expatriate assignments and hierarchical career ladders—are inadequate. The study emphasizes “fluid talent architectures”: hiring for adaptability and learning agility, fostering cross-functional project teams, and using AI to match internal talent with emerging needs. One surprising finding: MNCs that invest in continuous reskilling programs (like AT&T’s “Future Ready” initiative) showed 40% higher innovation output. In emerging markets, local talent pools increasingly demand autonomy and purpose—requiring MNCs to flatten hierarchies.

Competitive Advantage in an Era of Disruption

The study concludes that competitive advantage today is less about owning unique resources and more about the speed at which a firm can learn and adapt. MNCs that cling to legacy OLI-based strategies risk being outmaneuvered by agile born-global startups or ecosystem players. The hidden economic logic: in a world where AI and demographic shifts accelerate change, the ability to reconfigure—rather than the resources themselves—generates sustainable returns.

Conclusion: From Paradigm to Practice

The 2025 JOMS study is not just an academic critique; it is a wake-up call for global leaders. The OLI Eclectic Paradigm, while historically valuable, can no longer serve as the sole strategic compass for multinational corporations confronting disruptive innovation and dynamic markets. The new framework—rooted in dynamic capabilities, multidisciplinary thinking, and real-world case studies—offers a clearer path forward.

To thrive in a VUCA environment, MNCs must embrace three shifts: from static ownership to fluid orchestration, from location optimization to ecosystem agility, and from internalization to smart externalization. They must embed sensing, seizing, and transforming into their DNA. And they must recognize that business model adaptation is not a one-time project but a continuous process.

The companies that master this transition will not just survive the next wave of disruption—they will define it. For leaders willing to look beyond OLI, the future is not a threat; it is an opportunity to build organizations that learn faster, adapt smarter, and compete on a global scale where the only constant is change.

[IMAGE: A stylized globe with glowing network nodes and flowing data streams, representing the interconnected, dynamic nature of modern global business. No text, no watermark.]