For decades, the conventional wisdom in entrepreneurship research has been elegantly simple: more entrepreneurial orientation (EO) is better. Innovate more, take more risks, chase more opportunities before competitors do, and your firm will outperform. The empirical record in the United States largely backed this up. EO was treated almost like an unambiguous strategic virtue.
Tang, Tang, Marino, Zhang, and Li look at that comfortable assumption and say: not so fast. What if the relationship between entrepreneurial drive and performance is not a straight upward line, but an inverted U? What if there is a point at which more EO actually starts hurting you? 🏃
The authors test whether the EO-performance relationship in Chinese ventures is curvilinear (inverted U-shaped) rather than the positive linear relationship found in Western studies. They use two independent studies with different Chinese samples and different performance measures (one perceptual, one objective) to see if the same pattern holds across both.
The paper is also a methodological statement: if a finding replicates across two distinct datasets, two different performance metrics, and two independent analytical approaches, it is much harder to dismiss as a data artefact. 📋
Most EO research had been conducted in the United States or other developed economies. Applying those findings as universal truths to emerging markets is a mistake this paper explicitly corrects. China in the mid-2000s was a fascinating and extreme case: a transition economy where socialist planning and market capitalism coexisted in active tension, where government controlled financing and resource distribution, and where most entrepreneurs lacked the guanxi networks and management experience that high-EO strategies urgently require.
The result is a paper that speaks simultaneously to strategy scholars, emerging market researchers, and practitioners operating in any context that diverges from the idealized Western market economy. 🌐
EO is a firm-level strategic construct first articulated by Danny Miller (1983). It describes how a firm chooses to compete, capturing three simultaneous dimensions:
- InnovativenessThe firm actively pursues R&D, technological leadership, and new product or service development rather than relying on tried-and-true offerings.
- ProactivenessThe firm initiates actions ahead of competitors, pursues emerging market opportunities first, and is not merely reactive to what others do.
- Risk-TakingTop managers willingly commit resources to uncertain projects, bold strategies, and ventures with unpredictable outcomes rather than preferring cautious incremental behaviour.
The dominant assumption in EO research is a simple positive linear relationship: EO goes up, performance goes up. Tang et al. challenge this. They propose that in China specifically, the relationship follows an inverted U shape. Performance rises as EO increases from low to moderate levels, but then turns downward as EO continues into high territory.
Why would this be? The authors identify five interlocking reasons, grouped into two institutional and three organizational factors unique to China's context.
⚖ Dual System Stress
China operates under the simultaneous and contradictory logic of socialist administration and market capitalism. High-EO firms that pursue aggressive innovation and risk-taking must navigate this ideological tension. The confusion and compliance costs are real. Firms that push too hard into entrepreneurial territory can be blindsided by the constraining functions of the socialist system they are inadvertently running against.
💲 Government Controls Resources
In China, the central government controls financing, bank loans, materials distribution, and investment approvals. High-EO is a resource-hungry strategy — innovation, risk-taking, and proactive market pursuit all require sustained capital. But without government connections, entrepreneurial firms face extreme capital scarcity. Commercial banks are heavily regulated. Venture capital barely exists. High EO without adequate capital is a recipe for collapse. 😵
- Guanxi GapsGuanxi (relational networks) are the lifeblood of Chinese business. High-EO strategies require rapid resource mobilisation, trust-based partnerships, and political connections. But most Chinese entrepreneurial firms are still in the early stages of building these networks. Without them, risky and innovative projects become fatally exposed — there is no safety net of relationships to call on when things go wrong. 🤝
- Inexperienced ManagementChina's transition economy means few senior managers have lived experience competing in a market-based system. High-EO firms that launch into risky projects require sophisticated leadership to guide and protect those ventures. Without experienced human capital at the top, the entrepreneurial posture produces ambitious projects with no one competent enough to land them. 👨💼
- Low Role FormalizationEntrepreneurial firms need role formalization — clear assignment of responsibilities to specific people — to execute complex strategies effectively. Chinese firms generally score low on formalization. Without it, high-EO firms pursue opportunities proactively but cannot convert that proactiveness into organized action. The strategy is there; the organizational scaffolding to execute it is not. 🏗️
Firms from four Northern Chinese provinces (Shandong, Inner Mongolia, Hebei, Tianjin) were surveyed. EO was measured using the validated 8-item Covin-Slevin scale. Performance was a CEO-rated 4-item scale relative to principal competitors on sales growth, market share, profit growth, and overall performance.
| Model | What Was Added | Effect | R² Change |
|---|---|---|---|
| Model 1 | Controls only (location, size, industry) | Firm size <100 employees significant (β = −.27) | R² = .17 |
| Model 2 | + Linear EO term | EO positively significant (β = .27, p<.001) | +6% |
| Model 3 | + Squared EO term | EO² negatively significant (β = −.13, p<.10) | +1% ✓ |
A different sample, surveyed online, combined with archival stock market data from the Shenzhen Securities Information Company. Performance was measured as logged sales volume (lgsales) — a harder, more objective test than self-reported perceptions. Industry environmental effects (munificence, instability, complexity) were calculated from public data to control for sector-level variation and reduce common method bias.
| Model | What Was Added | Effect | R² Change |
|---|---|---|---|
| Model 1 | Controls: industry effects + firm size | Firm size strongly positive (β = .54, p<.001) | R² = .38 |
| Model 2 | + Linear EO term | EO negative (β = −.19, p<.01) | +3% |
| Model 3 | + Squared EO term | EO² negative (β = −.17, p<.05) | +2% ✓ |
The authors designed Study 2 specifically to stress-test Study 1. Different sample. Different data source. Different performance measure. Different controls. Yet both studies point to the same inverted U. This constructive replication is the paper's most powerful methodological contribution. It rules out scale artefacts, same-source bias, and sampling quirks as explanations for the finding.
The authors ran the EO scale in China expecting the standard three-factor structure (innovativeness, proactiveness, risk-taking). Instead, they found two factors in both samples — innovativeness and risk-taking emerged as distinct, while proactiveness items loaded under both.
This raises a genuinely important methodological question: is the Western EO scale universally valid? The items were developed in and for U.S. firms. Some items may measure the outcomes of entrepreneurial orientation rather than the strategic posture itself. The authors call for rigorous revalidation of the EO scale for emerging market contexts. 🔬
This is an empirical paper with immediate strategic relevance for anyone managing, advising, investing in, or building firms in emerging markets. The central message is direct: calibrate your entrepreneurial ambition to your context. "More entrepreneurial" is not always better. In resource-constrained, institutionally turbulent environments, excessive EO can destroy the performance it is supposed to create.
The Goldilocks principle applies to entrepreneurial orientation: not too little, not too much. Firms that remain entirely non-entrepreneurial miss opportunities in dynamic markets. But firms that race to the highest possible level of EO in environments where capital is scarce, networks are immature, and formalization is low are taking on more risk than their organizational infrastructure can absorb.
The instinct to back the most boldly entrepreneurial founder in the room may be well-calibrated for Silicon Valley. In China, India, Southeast Asia, or Sub-Saharan Africa, it may be exactly wrong. The most aggressively innovative and risk-taking founder in an emerging market may be the one most likely to outrun their institutional context.
This paper is a valuable corrective to the "entrepreneurship is always good" narrative that dominates many business school programmes. The EO construct, the linear-positive assumption, and the standard Covin-Slevin measurement scale were all built in and validated for developed market contexts. Teaching these as universal tools is intellectually incomplete.
The Chinese government's control of capital, combined with its tolerance (and sometimes encouragement) of entrepreneurial activity, creates a structural trap for high-EO firms. Policy environments that celebrate entrepreneurship rhetorically but constrain access to financing, formalization support, and regulatory predictability may inadvertently punish exactly the firms they claim to champion.
- J. TangJintong Tang — (Corresponding author) Assistant Professor, Saint Louis University. Lead author on EO and entrepreneurial cognition in emerging market contexts.
- Z. TangZhi Tang — Assistant Professor, Rochester Institute of Technology. Research focus on strategy and performance in transition economies.
- MarinoLouis D. Marino — Associate Professor, University of Alabama. Co-developer of the validated cross-cultural EO scale (Kreiser, Marino & Weaver, 2002) that this study employs.
- ZhangYuli Zhang — Professor and Associate Dean, Business School, Nankai University, Tianjin, China. Critical local institutional knowledge and data access.
- LiQianwen Li — Professor, Nanjing Audit University, Nanjing, China. Co-investigator on Chinese firm data collection.
- No CausalityCross-sectional design means the study cannot establish that EO causes performance outcomes. It shows a correlation pattern. Longitudinal data are needed to test whether EO changes precede performance changes or vice versa.
- One RegionBoth samples are from Northern China. Southern China — particularly Guangdong and Shenzhen — represents a different pattern of economic development, institutional environment, and entrepreneurial culture. Generalizability within China is limited.
- Optimal Level UnclearThe paper confirms the inverted U but cannot pinpoint precisely where the optimal EO level lies on the scale, or how quickly performance deteriorates past that point. The rate of decline was steeper in Study 2 than Study 1, suggesting context moderates even the shape of the curve.
- EO Scale ValidityThe emergence of a two-factor structure (innovativeness + risk-taking) rather than the expected three-factor structure is unresolved. The paper flags this as a priority for future research — a full psychometric revalidation of the EO scale in emerging market contexts.
- Other Emerging MarketsDo the same dynamics operate in India, Brazil, Nigeria, Vietnam? Institutional theory suggests the China-specific explanation (dual-system stress, government resource control) may not translate directly. Replication across diverse emerging economies is strongly needed.
| EO Level | Performance Prediction | Dominant Mechanism |
|---|---|---|
| Low EO | Below potential — not competing aggressively | Missed opportunities; insufficient market responsiveness |
| Moderate EO | Optimal performance ✓ | Benefits of innovativeness and proactiveness without outpacing institutional and organizational capacity |
| High EO | Declining performance | Capital starvation; guanxi gaps; inexperienced management; low formalization; dual-system confusion |