Measuring Enterprise Growth: Pitfalls and Implications

Authors: N. Šarlija, S. Pfeifer, M. Jeger, A. Bilandžić

Abstract:

Enterprise growth is generally considered as a key driver of competitiveness, employment, economic development and social inclusion. As such, it is perceived to be a highly desirable outcome of entrepreneurship for scholars and decision makers. The huge academic debate resulted in the multitude of theoretical frameworks focused on explaining growth stages, determinants and future prospects. It has been widely accepted that enterprise growth is most likely nonlinear, temporal and related to the variety of factors which reflect the individual, firm, organizational, industry or environmental determinants of growth. However, factors that affect growth are not easily captured, instruments to measure those factors are often arbitrary, causality between variables and growth is elusive, indicating that growth is not easily modeled. Furthermore, in line with heterogeneous nature of the growth phenomenon, there is a vast number of measurement constructs assessing growth which are used interchangeably. Differences among various growth measures, at conceptual as well as at operationalization level, can hinder theory development which emphasizes the need for more empirically robust studies. In line with these highlights, the main purpose of this paper is twofold. Firstly, to compare structure and performance of three growth prediction models based on the main growth measures: Revenues, employment and assets growth. Secondly, to explore the prospects of financial indicators, set as exact, visible, standardized and accessible variables, to serve as determinants of enterprise growth. Finally, to contribute to the understanding of the implications on research results and recommendations for growth caused by different growth measures. The models include a range of financial indicators as lag determinants of the enterprises’ performances during the 2008-2013, extracted from the national register of the financial statements of SMEs in Croatia. The design and testing stage of the modeling used the logistic regression procedures. Findings confirm that growth prediction models based on different measures of growth have different set of predictors. Moreover, the relationship between particular predictors and growth measure is inconsistent, namely the same predictor positively related to one growth measure may exert negative effect on a different growth measure. Overall, financial indicators alone can serve as good proxy of growth and yield adequate predictive power of the models. The paper sheds light on both methodology and conceptual framework of enterprise growth by using a range of variables which serve as a proxy for the multitude of internal and external determinants, but are unlike them, accessible, available, exact and free of perceptual nuances in building up the model. Selection of the growth measure seems to have significant impact on the implications and recommendations related to growth. Furthermore, the paper points out to potential pitfalls of measuring and predicting growth. Overall, the results and the implications of the study are relevant for advancing academic debates on growth-related methodology, and can contribute to evidence-based decisions of policy makers.

Keywords: Growth measurement constructs, logistic regression, prediction of growth potential, small and medium-sized enterprises.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1124397

References:

[1] F. Delmar, “Measuring growth: methodological considerations and empirical results,” Entrepreneurship and the growth of firms, vol. 1, pp. 62-84, 2006.
[2] D. Storey, Understanding the small firm sector. Routiedge, London, 1994
[3] L. Cassia, G. M. Cogliati, and S. Paleari, (2009). Hyper-Growth Among European SMEs: An Explorative Study, 2009, Available at SSRN 1389521.
[4] L. Kolvereid, and E. Bullvag, “Growth intentions and actual growth: The impact of entrepreneurial choice,” Journal of Enterprising Culture, vol. 4, no. 1, 1996, pp. 1-17.
[5] P. Morone, and G. Testa, “Firms growth, size and innovation: An investigation into the Italian manufacturing sector,” Economics of Innovation and New Technology, vol. 17, no. 4, 2008, pp. 311-329.
[6] B. R. Barringer, F. F. Jones, and D. O. Neubaum, “A quantitative content analysis of the characteristics of rapid-growth firms and their founders,” Journal of business venturing, vol. 20, no. 5, 2005, pp. 663-687.
[7] M. S. Freel, and P. J. Robson, “Small firm innovation, growth and performance evidence from Scotland and Northern England,” International Small Business Journal, vol. 22, no. 6, 2004, pp. 561-575.
[8] J. E. McGee, and M. J. Dowling, “Using R&D cooperative arrangements to leverage managerial experience: A study of technology-intensive new ventures,” Journal of Business Venturing, vol. 9, no. 1, 1994, pp. 33-48.
[9] E. Fischer, A. R. Reuber, M. Hababou, W. Johnson, and S. Lee, S. “The role of socially constructed temporal perspectives in the emergence of rapid growth firms,” Entrepreneurship theory and practice, vol. 22, 1997, pp. 13-30.
[10] C. M. Christensen, and J. L. Bower, “Customer power, strategic investment, and the failure of leading firms,” Strategic management journal, vol. 17, no. 3, 1996, pp. 197-218.
[11] M. Mateev, and Y. Anastasov, “Determinants of small and medium sized fast growing enterprises in central and eastern Europe: a panel data analysis,” Financial Theory and Practice, vol. 34, no. 3, 2010, pp. 269-295.
[12] J. Wiklund, Small firm growth and performance: Entrepreneurship and beyond. Internationella Handelshögskolan, 1998.
[13] N. Kiviluoto, M. Brännback, and A. Carsrud, “Are firm growth and performance the same or different concepts in empirical entrepreneurship studies? An analysis of the dependent and independent variables,” Entrepreneurship, growth and economic development, 2011.
[14] P. Davidsson, P. Steffens, and J. Fitzsimmons, “Growing profitable or growing from profits: Putting the horse in front of the cart?” Journal of Business Venturing, vol. 24, no. 4, 2009, pp. 388-406.
[15] L. G. Weinzimmer, P. C. Nystrom, and S. J. Freeman, “Measuring organizational growth: Issues, consequences and guidelines,” Journal of management, vol. 24, no.2, 1998, pp. 235-262.
[16] C. Helmers, and M. Rogers, “Does patenting help high-tech start-ups?” Research Policy, vol. 40, no. 7, 2011, pp. 1016-1027.
[17] A. M. Moreno, and J. C. Casillas, “High-growth SMEs versus non-high-growth SMEs: a discriminant analysis,” Entrepreneurship and Regional Development, vol. 19, no. 1, 2007, pp. 69-88.
[18] H. H. Stevenson, and J. C. Jarillo, “A paradigm of entrepreneurship: Entrepreneurial management,” Strategic management journal, vol. 11, no. 5, 1999, pp. 17-27.
[19] J. R. Baum, E. A. Locke, and K. G. Smith, “A multidimensional model of venture growth”, Academy of management journal, vol. 44, no. 2, 2001, pp. 292-303.
[20] L. Becchetti, L. and G. Trovato, “The determinants of growth for small and medium sized firms. The role of the availability of external finance.” Small Business Economics, vol. 19, no. 4, 2002, pp. 291-306.
[21] G. Sampagnaro, G., “Predicting rapid-growth SMEs through a reversal of credit-scoring principles,” International Journal of Entrepreneurship and Small Business, vol. 18, no. 3, 2013, pp. 313-331.
[22] A. Segarra-Blasco, and M. Teruel, M. “Small firms, growth and financial constraints,” XREAP, November 2009. Available at SSRN: http://ssrn.com/abstract=1825064
[23] A. Davila, G. Foster, and M. Gupta, “Venture capital financing and the growth of startup firms,” Journal of Business Venturing, vol. 18, 2003, pp. 689–709.
[24] J. Florin, M. Lubatkin, and W. Schulze, “A social capital model of high-growth ventures,” Academy of Management Journal, vol. 46, no. 3., 2003, pp. 374–385.
[25] P. Davidsson, B. Kirchhoff, A. Hatemi–J, and H. Gustavsson, “Empirical analysis of business growth factors using Swedish data,” Journal of Small Business Management, vol. 40, no. 4, 2002, pp. 332–350.
[26] E. Autio, H. J. Sapienza, and J. G. Almeida, “Effects of age at entry, knowledge intensity, and imitability on international growth,” Academy of Management Journal, vol. 43, no. 5, 2000, pp. 909–925.
[27] D. Shepherd, and J. Wiklund, “Are we comparing apples with apples or apples with oranges? Appropriateness of knowledge accumulation across growth studies,” Entrepreneurship Theory and Practice, vol. 33, no. 1, 2009, pp. 105-123.
[28] Organization for Economic Co-operation and Development, “High-growth enterprises: what governments can do to make a difference,” OECD Publishing, 2010.
[29] J. Jobson, “Applied multivariate data analysis: volume II: Categorical and Multivariate Methods,” Springer Science & Business Media, 2012
[30] S. A. Czepiel, “Maximum likelihood estimation of logistic regression models: theory and implementation,” 2002. Available at czep. net/stat/mlelr.pdf
[31] J. Maindonald, and W. J. Braun, “Data Analysis and Graphics Using R – an Example-Based Approach,” Cambridge University Press, 2010.
[32] Z. Bursac, C. H. Gauss, D. K. Williams, and D. W. Hosmer, “Purposeful selection of variables in logistic regression”, Source Code for Biology and Medicine, vol. 17, no. 3, 2008, pp. 1-8. Retrieved from: http://www.scfbm.org/content/3/1/17, doi:10.1186/1751-0473-3-17
[33] M. Řezáč, and F. Řezáč, “How to measure the quality of credit scoring models,” Finance a úvěr: Czech Journal of Economics and Finance, vol. 61, no. 5. 2011, pp. 486-507.
[34] T. Fawcett, “An introduction to ROC analysis,” Pattern recognition letters, vol. 27, no. 8, 2006, pp. 861-874.