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Handbook of Quantitative Research Methods in Entrepreneurship
This Handbook will be an invaluable original reference tool for both researchers and students embarking on a new research project. It will be useful both for those who are using quantitative data for the first time and for more experienced researchers who are interested in new quantitative techniques and methods.
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Critical Acclaim
Contributors
Contents
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This Handbook of Quantitative Research Methods in Entrepreneurship provides an overarching perspective on the methods and approaches critical to quantitative analysis of research on entrepreneurship.
Representing the research efforts of 28 international scholars in entrepreneurship, this Handbook offers guidance for quantitative analysts at a time of increasing availability of economic, financial and business data. Contributions focus on a range of important empirical issues, including business survival, job creation, internationalisation, bank financing and specific types of entrepreneurial activity such as social enterprise and family business. The combined chapters synthesise and experiment with useful methods to navigate and unpack crucial entrepreneurial data.
Informative and accessible, this Handbook is crucial reading for undergraduate and postgraduate students looking for a broad overview of the field. It will also be useful to established academics and researchers who require state of the art research, and policymakers and practitioners, who may use this book as an indispensable guide for reflecting on public interventions in the entrepreneurial arena.
Representing the research efforts of 28 international scholars in entrepreneurship, this Handbook offers guidance for quantitative analysts at a time of increasing availability of economic, financial and business data. Contributions focus on a range of important empirical issues, including business survival, job creation, internationalisation, bank financing and specific types of entrepreneurial activity such as social enterprise and family business. The combined chapters synthesise and experiment with useful methods to navigate and unpack crucial entrepreneurial data.
Informative and accessible, this Handbook is crucial reading for undergraduate and postgraduate students looking for a broad overview of the field. It will also be useful to established academics and researchers who require state of the art research, and policymakers and practitioners, who may use this book as an indispensable guide for reflecting on public interventions in the entrepreneurial arena.
Critical Acclaim
‘This Handbook provides a straightforward, coherent explanation and articulation of the most compelling and important quantitative research methods. Researchers across a broad spectrum of fields and scholarly perspectives will find this Handbook to be an invaluable asset in honing their own research craftsmanship.’
– David B. Audretsch, Indiana University, US
– David B. Audretsch, Indiana University, US
Contributors
Contributors: F. Buscha, J.-L. Capelleras, M. Cowling, M. Dejardin, P. Ferreira, M. Freel, D.S. Hain, L. Han, C. Hand, R. Jurowetzki, F.W. Kellermanns, Y. Lai, M. Medaugh, B. Mi, L. Pennacchio, A. Rialp, J. Rialp, C. Robinson, S. Roper, A. Rostamkalaei, A. Sapio, G. Saridakis, J. Siepel, L. Stanley, L. Tian, P. Urwin, W. Yue, T.M. Zellweger
Contents
Contents:
1. Introduction to the Handbook of Quantitative Research Methods in Entrepreneurship
George Saridakis and Marc Cowling
2. How Do We Measure Firm Performance? A Review of Issues Facing Entrepreneurship Researchers
Josh Siepel and Marcus Dejardin
3. Exporting, Technological Collaboration and SME Growth: An Empirical Analysis
Joan-Lluis Capelleras, Alex Rialp and Josep Rialp
4. As time goes by: survival analysis as a method to study topics in entrepreneurship
Priscila Ferreira
5. Longitudinal and Mixture Modeling Methods with Application for Family Firm and Entrepreneurship Research
Melissa Medaugh, Laura Stanley, Franz W. Kellermanns and Thomas M. Zellweger
6. Social Enterprise and Social Entrepreneurship – developing the evidence base using the UK Small Business Survey
Catherine Robinson
7. Using Meta-Analysis to Develop Entrepreneurship Research and Theory
Yanqing Lai, George Saridakis and Chris Hand
8. Using RCTs as a research method for SME policy research: The UK experience
Stephen Roper
9. The role of small businesses in employing the unemployed and inactive
Peter Urwin and Franz Buscha
10. The Promises of Machine Learning and Big Data in Entrepreneurship Research
Daniel S. Hain and Roman Jurowetzki
11. Studying small firms and their banks: A review of common methods and current concerns
Anoosheh Rostamkalaei and Mark Freel
12. Financing, selection, and value-adding effects of venture capital: A review of econometric methods and issues
Luca Pennacchio and Alessandro Sapio
13. Information Asymmetries and Entrepreneurial Finance: Evidence from Theories and Empirics
Liang Han, Lin Tian and Biao Mi
14. Bank Loan Pricing to Small Firms: Sorting or Market Power?
Marc Cowling and Wei Yue
Index
1. Introduction to the Handbook of Quantitative Research Methods in Entrepreneurship
George Saridakis and Marc Cowling
2. How Do We Measure Firm Performance? A Review of Issues Facing Entrepreneurship Researchers
Josh Siepel and Marcus Dejardin
3. Exporting, Technological Collaboration and SME Growth: An Empirical Analysis
Joan-Lluis Capelleras, Alex Rialp and Josep Rialp
4. As time goes by: survival analysis as a method to study topics in entrepreneurship
Priscila Ferreira
5. Longitudinal and Mixture Modeling Methods with Application for Family Firm and Entrepreneurship Research
Melissa Medaugh, Laura Stanley, Franz W. Kellermanns and Thomas M. Zellweger
6. Social Enterprise and Social Entrepreneurship – developing the evidence base using the UK Small Business Survey
Catherine Robinson
7. Using Meta-Analysis to Develop Entrepreneurship Research and Theory
Yanqing Lai, George Saridakis and Chris Hand
8. Using RCTs as a research method for SME policy research: The UK experience
Stephen Roper
9. The role of small businesses in employing the unemployed and inactive
Peter Urwin and Franz Buscha
10. The Promises of Machine Learning and Big Data in Entrepreneurship Research
Daniel S. Hain and Roman Jurowetzki
11. Studying small firms and their banks: A review of common methods and current concerns
Anoosheh Rostamkalaei and Mark Freel
12. Financing, selection, and value-adding effects of venture capital: A review of econometric methods and issues
Luca Pennacchio and Alessandro Sapio
13. Information Asymmetries and Entrepreneurial Finance: Evidence from Theories and Empirics
Liang Han, Lin Tian and Biao Mi
14. Bank Loan Pricing to Small Firms: Sorting or Market Power?
Marc Cowling and Wei Yue
Index
