Cross-Country Entrepreneurial Intentions: A Comparative Analysis of Policies and Culture
Table Of Contents
Chapter ONE
INTRODUCTION
- 1.1Introduction
Cross-Country Entrepreneurial Intentions: Policy and Cultural Influences in Emerging Markets and Developed Economies
- 1.2Background of the Study
- 1.3Statement of the Problem
- 1.4Aim and Objectives of the Study
- 1.5Research Questions
- 1.6Research Hypotheses
- 1.7Significance of the Study
- 1.8Scope and Delimitation of the Study
- 1.9Limitations of the Study
- 1.10Organisation of the Study
- 1.11Operational Definition of Terms
Chapter TWO
LITERATURE REVIEW
- 2.1Conceptual Review: Entrepreneurial Intentions Across Borders
- 2.2Conceptualization of Policies as Catalysts for Entrepreneurial Action
- 2.3Cultural Dimensions and Entrepreneurial Propensity: A Cross-Country Lens
- 2.4The Theory of Planned Behavior in Cross-National Entrepreneurship Research
- 2.5Schwartz Value Theory and Entrepreneurial Motivation
- 2.6Social Cognitive Theory in Transnational Entrepreneurial Intentions
- 2.7Institutional Theory and Policy Diffusion in Entrepreneurship
- 2.8Resource-Based View and National Innovation Systems
- 2.9Empirical Review: Cross-Country Studies on Entrepreneurial Intention
- 2.10Empirical Review: Policy Interventions and Startup Ecosystems
- 2.11Empirical Review: Cultural Variations in Risk Perception and Opportunity Recognition
- 2.12Gaps in the Literature and The Need for an Integrative Model
- 2.13Conceptual Model: Linking Policies, Culture, and Entrepreneurial Intentions
Chapter THREE
RESEARCH METHODOLOGY
- 3.1Research Design: Comparative Cross-National Survey and Policy Analysis
- 3.2Philosophical Paradigm: Pragmatism and Mixed Methods Rationale
- 3.3Population of the Study: Entrepreneurs and Aspiring Founders in Six Countries
- 3.4Sample Size and Sampling Technique: Stratified Random Sampling by Country and Sector
- 3.5Sources and Instruments of Data Collection: Structured Questionnaires and Policy Document Analysis
- 3.6Validity and Reliability of Instruments: Content, Construct, and Pilot Testing
- 3.7Measurement Scales: Multi-Item Scales for Intentions, Perceived Policy Support, and Cultural Orientation
- 3.8Data Collection Procedures: Field Administration and Secondary Data Collection
- 3.9Data Analysis Methods: Descriptive, Inferential, and Multilevel Modeling
- 3.10Model Specification: Cross-National Structural Equation Modeling (SEM) and Hierarchical Linear Modeling (HLM)
- 3.11Ethical Considerations: Informed Consent, Anonymity, and Data Security
- 3.12Data Management and Software Utilization
- 3.13Limitations of the Methodology
Chapter FOUR
DATA PRESENTATION AND ANALYSIS
- ANALYSIS AND DISCUSSION OF FINDINGS
- 4.1Data Presentation: Response Rates and Sample Characteristics
- 4.2Descriptive Analysis: Entrepreneurial Intentions by Country, Policy Exposure, and Cultural Dimensions
- 4.3Measurement Model Assessment: Reliability and Validity of Scales
- 4.4Hypotheses Testing: Policy Support as a Predictor of Entrepreneurial Intentions Across Nations
- 4.5Moderating Effects: Cultural Dimensions on Policy-Intentions Relationships
- 4.6Cross-Country Comparisons: High-Policy vs. Low-Policy Environments
- 4.7Thematic Insights from Open-Ended Responses
- 4.8Interpretation of Results in Relation to Theoretical Frameworks
- 4.9Discussion of Findings: Alignment with and Divergence from Prior Studies
Chapter FIVE
SUMMARY, CONCLUSION AND RECOMMENDATIONS
- CONCLUSION AND RECOMMENDATIONS
- 5.1Summary of Findings
- 5.2Conclusions on Policy and Cultural Influences on Entrepreneurial Intentions
- 5.3Contribution to Knowledge: The Integrative Cross-National Model
- 5.4Practical Implications for Policy Makers, Educators, and Ecosystem Builders
- 5.5Recommendations for Policy Design and Cultural Interventions
- 5.6Recommendations for Entrepreneurs and Support Institutions
- 5.7Limitations and Delimitations of the Study
- 5.8Suggestions for Future Research
Thesis Abstract
Entrepreneurial activity is increasingly understood as a function of both policy ecosystems and cultural norms, yet comparative evidence linking policy environments, cultural dimensions, and entrepreneurial intentions across diverse national contexts remains fragmented. This study addresses the problem by examining how macro-level policy instruments (e.g., startup incentives, regulatory ease, access to finance) interact with cultural attitudes (e.g., individualism, uncertainty avoidance, long-term orientation) to shape entrepreneurial intentions among aspiring founders. The aim is to elucidate the relative and combined influence of policies and culture on cross-country variations in entrepreneurial intentions, informing more effective, context-sensitive policy design and entrepreneurship education. The specific objectives are (1) to quantify the direct effects of policy variables on entrepreneurial intentions across a stratified sample of high-, middle-, and low-innovation economies; (2) to assess the moderating role of cultural dimensions on the policy–intentions relationship; (3) to compare the strength and significance of policy and culture as predictors of entrepreneurial intent in selected OECD and non-OECD contexts; (4) to identify country clusters with similar intention profiles and policy configurations; and (5) to offer actionable recommendations for policymakers and educators to foster entrepreneurial intention under varying cultural settings. The study adopts a cross-sectional, mixed-methods design, combining quantitative analysis with qualitative insights. The population comprises university-age individuals (aged 18–35) enrolled in business, engineering, and social sciences programs across twelve countries representing a spectrum of development and institutional environments. A stratified multi-stage sampling approach yields a target sample of 3,000 usable responses for the quantitative strand. Data collection employs a structured survey instrument integrating established scales for entrepreneurial intention (e.g., the Theory of Planned Behavior-based items), perceived policy support (operationalized via a Policy Support Index), and Hofstede-inspired cultural dimensions. Supplementary country-level indicators are drawn from the World Bank Doing Business, Global Entrepreneurship Monitor, and the World Values Survey. For qualitative depth, 60 in-depth interviews are conducted with aspiring entrepreneurs and policy implementers in six selected countries to contextualize quantitative findings. Quantitative analysis proceeds in three steps (i) multilevel regression models that separate individual-level intentions from country-level policy and culture variables; (ii) moderation analyses to test whether cultural dimensions strengthen or attenuate the impact of policy support on intentions; and (iii) cluster analysis to classify countries into groups with similar intention determinants. The primary analytical techniques include hierarchical linear modeling (HLM) to account for nested data, multiple regression with interaction terms, and robustness checks using propensity-score weighting to mitigate selection bias. The qualitative data are analyzed using thematic analysis, aided by NVivo, to extract themes on perceived policy legitimacy, cultural norms around risk and opportunity, and lived experiences of aspiring entrepreneurs. Key expected findings include (a) policy variables such as ease of starting a business, tax incentives, and government-backed funding positively predict entrepreneurial intentions, with effect sizes varying by country development level; (b) cultural dimensions—particularly higher uncertainty avoidance and collectivism—moderate the policy–intentions link, reducing the marginal impact of policy support in certain contexts; (c) a cross-country typology emerges, with three clusters characterized by distinct policy-culture configurations and corresponding intention profiles; (d) qualitative insights reveal perceived gaps between policy rhetoric and on-the-ground access, and the role of social norms in encouraging or discouraging entrepreneurial risk-taking. The study contributes to knowledge by integrating policy analysis with cultural theory to explain cross-national variation in entrepreneurial intentions, extending the literature beyond single-country assessments, and providing a validated cross-national model capable of informing targeted policy design and entrepreneurship education. It advances methodological approaches by combining multilevel modeling with ideographic qualitative evidence to capture both generalizable effects and contextual nuances. Practical implications include guidance for policymakers on tailoring incentives and regulatory reforms to local cultural contexts, and for educators on designing curricula that leverage favorable cultural predispositions while mitigating barriers identified through the policy landscape. The conclusion emphasizes that synergistic alignment between policy environments and cultural expectations is crucial for elevating entrepreneurial intentions, with recommendations for iterative policy evaluation, cross-country knowledge transfer, and culturally-informed entrepreneurship training.
Thesis Overview
This research examines how people’s intentions to start a new business differ across countries, and how government policies and cultural factors shape those intentions. It asks whether policy environments (such as start-up support, access to finance, and regulatory ease) interact with cultural dimensions (risk tolerance, collectivism, and uncertainty avoidance) to influence entrepreneurial motivation and expected business action.
Why it matters: Entrepreneurial activity drives innovation, job creation, and economic resilience. Yet cross-country differences in policy design and culture mean that the same policy or message may have different effects in different places. Understanding these interactions helps policymakers tailor interventions and supports that align with local norms while fostering entrepreneurial intention.
Research gap: While studies often focus on either policy effects or cultural influences in isolation, there is limited comparative evidence on how policies and culture jointly shape entrepreneurial intentions across diverse national contexts. This project addresses that gap by integrating policy indicators with cultural metrics in a cross-country analysis.
What the researcher will do, step by step:
1. Define a set of comparable countries representing different policy regimes and cultural profiles.
2. Develop a measurement framework for entrepreneurial intention, policy environment, and cultural dimensions using established scales.
3. Collect data through a structured survey of university graduates and early-career professionals in each country, aiming for approximately 600 usable responses per country.
4. Gather country-level policy data from credible sources (government reports, World Bank Doing Business indicators, Global Entrepreneurship Monitor) and culture scores from Hofstede or the GLOBE project.
5. Analyze data with multilevel modeling to assess how country-level policy variables and culture interact to predict individual entrepreneurial intention, supplemented by regression analyses and robustness checks.
6. Test theoretical propositions derived from planned behavior theory and institutional theory, and construct a cross-country comparative narrative.
Expected contribution: The study will provide integrated insight into how external policy ecosystems and intrinsic cultural tendencies combine to shape entrepreneurial intentions, offering a more nuanced understanding than analyses that treat policy or culture in isolation. It will inform policymakers about tailoring support measures to align with cultural contexts while recognizing cross-country similarities and differences in policy effectiveness.
Anticipated outcome: A validated cross-country model identifying key policy levers and cultural moderators of entrepreneurial intention, with practical recommendations for context-sensitive policy design and entrepreneurial education programs.