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Progressive performance modeling for the strategic determinants of market value in the high-tech oriented SMEs

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  • Lee, Jooh
  • Kwon, He-Boong

Abstract

The purpose of this paper is to present an adaptive performance model using neural networks in scrutinizing the impact of strategic factors on firm performance, especially within high-tech oriented small and medium-sized enterprises (SMEs) in the United States. This paper explores generalized learning of backpropagation neural network (BPNN) in conducting an explanatory and predictive analysis of the strategic determinants of the market value of SMEs. The progressive performance model through BPNN is designed to capture the different and unique significance of strategic determinants for better firm performance by dividing high-tech segments into two performance groups: high performers and low performers. In doing so, this paper introduces a salient BPNN approach for performance modeling and extends the applications of BPNN. Furthermore, efficiency measurement and performance prediction using BPNN adds meaningful value to the literature and highlights the potential advantages of using BPNN. The empirical results demonstrate the successful implementation of the model and clearly distinguish varying patterns at different performance levels, High and Low, which is a significant finding of this study. Overall, sales growth, R&D intensity, and current ratio can be used as major strategic determinants of market value performance of the technology-oriented SMEs.

Suggested Citation

  • Lee, Jooh & Kwon, He-Boong, 2017. "Progressive performance modeling for the strategic determinants of market value in the high-tech oriented SMEs," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 91-102.
  • Handle: RePEc:eee:proeco:v:183:y:2017:i:pa:p:91-102
    DOI: 10.1016/j.ijpe.2016.10.014
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    as
    1. Marvin B. Lieberman & Lieven Demeester, 1999. "Inventory Reduction and Productivity Growth: Linkages in the Japanese Automotive Industry," Management Science, INFORMS, vol. 45(4), pages 466-485, April.
    2. Cavalieri, Sergio & Maccarrone, Paolo & Pinto, Roberto, 2004. "Parametric vs. neural network models for the estimation of production costs: A case study in the automotive industry," International Journal of Production Economics, Elsevier, vol. 91(2), pages 165-177, September.
    3. Qi, Min, 1999. "Nonlinear Predictability of Stock Returns Using Financial and Economic Variables," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(4), pages 419-429, October.
    4. Zoltan J. Acs & David B. Audretsch, 2008. "Innovation in Large and Small Firms: An Empirical Analysis," Chapters, in: Entrepreneurship, Growth and Public Policy, chapter 1, pages 3-15, Edward Elgar Publishing.
    5. Kourentzes, Nikolaos, 2013. "Intermittent demand forecasts with neural networks," International Journal of Production Economics, Elsevier, vol. 143(1), pages 198-206.
    6. Berger, Allen N, 1995. "The Profit-Structure Relationship in Banking--Tests of Market-Power and Efficient-Structure Hypotheses," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 27(2), pages 404-431, May.
    7. Marques, Alex & Lacerda, Daniel Pacheco & Camargo, Luís Felipe Riehs & Teixeira, Rafael, 2014. "Exploring the relationship between marketing and operations: Neural network analysis of marketing decision impacts on delivery performance," International Journal of Production Economics, Elsevier, vol. 153(C), pages 178-190.
    8. Densil A. Williams, 2016. "Can Neural Networks Predict Business Failure? Evidence From Small High Tech Firms In The Uk," Journal of Developmental Entrepreneurship (JDE), World Scientific Publishing Co. Pte. Ltd., vol. 21(01), pages 1-17, March.
    9. Mehdi Nekhili & Sabri Boubaker & Faten Lakhal, 2011. "Ownership structure, voluntary R&D disclosure and market value of firms: the French case," Post-Print hal-00658177, HAL.
    10. Daniel Santin, 2008. "On the approximation of production functions: a comparison of artificial neural networks frontiers and efficiency techniques," Applied Economics Letters, Taylor & Francis Journals, vol. 15(8), pages 597-600.
    11. repec:bla:jfinan:v:59:y:2004:i:2:p:623-650 is not listed on IDEAS
    12. Sharad C. Asthana & Yinqi Zhang, 2006. "Effect of R&D investments on persistence of abnormal earnings," Review of Accounting and Finance, Emerald Group Publishing, vol. 5(2), pages 124-139, May.
    13. Chan, Su Han & Martin, John D. & Kensinger, John W., 1990. "Corporate research and development expenditures and share value," Journal of Financial Economics, Elsevier, vol. 26(2), pages 255-276, August.
    14. Rakesh B. Sambharya & Jooh Lee, 2014. "Renewing Dynamic Capabilities Globally: An Empirical Study of the World’s Largest MNCs," Management International Review, Springer, vol. 54(2), pages 137-169, April.
    15. Kim, Hong Sik & Sohn, So Young, 2010. "Support vector machines for default prediction of SMEs based on technology credit," European Journal of Operational Research, Elsevier, vol. 201(3), pages 838-846, March.
    16. Mehdi Nekhili & Sabri Boubaker & Faten Lakhal, 2012. "Ownership Structure, Voluntary Disclosure and Market Value of Firms: The French case," Post-Print hal-01155610, HAL.
    17. Daniel Santin & Francisco Delgado & Aurelia Valino, 2004. "The measurement of technical efficiency: a neural network approach," Applied Economics, Taylor & Francis Journals, vol. 36(6), pages 627-635.
    18. Mario Kafouros, 2005. "R&D and productivity growth: Evidence from the UK," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 14(6), pages 479-497.
    19. Kevin W. Chauvin & Mark Hirschey, 1993. "Advertising, R&D Expenditures and the Market Value of the Firm," Financial Management, Financial Management Association, vol. 22(4), Winter.
    20. Carlos Pestana Barros & Peter Wanke, 2014. "Insurance companies in Mozambique: a two-stage DEA and neural networks on efficiency and capacity slacks," Applied Economics, Taylor & Francis Journals, vol. 46(29), pages 3591-3600, October.
    21. Kiyohiko Ito & Vladimir Pucik, 1993. "Abstract," Strategic Management Journal, Wiley Blackwell, vol. 14(1), pages 61-75, January.
    22. Lee, Jooh & Habte-Giorgis, Berhe, 2004. "Empirical approach to the sequential relationships between firm strategy, export activity, and performance in U.S. manufacturing firms," International Business Review, Elsevier, vol. 13(1), pages 101-129, February.
    23. Golmohammadi, Davood, 2011. "Neural network application for fuzzy multi-criteria decision making problems," International Journal of Production Economics, Elsevier, vol. 131(2), pages 490-504, June.
    24. Lorraine Uhlaner & André Stel & Valérie Duplat & Haibo Zhou, 2013. "Disentangling the effects of organizational capabilities, innovation and firm size on SME sales growth," Small Business Economics, Springer, vol. 41(3), pages 581-607, October.
    25. Wang, Chun-Hsien & Lu, Yung-Hsiang & Huang, Chin-Wei & Lee, Jun-Yen, 2013. "R&D, productivity, and market value: An empirical study from high-technology firms," Omega, Elsevier, vol. 41(1), pages 143-155.
    26. Fabio Bertoni & Massimo Colombo & Luca Grilli, 2013. "Venture capital investor type and the growth mode of new technology-based firms," Small Business Economics, Springer, vol. 40(3), pages 527-552, April.
    27. Dimitrios P. Koumanakos, 2008. "The effect of inventory management on firm performance," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 57(5), pages 355-369, June.
    28. Sandner, Philipp G. & Block, Joern, 2011. "The market value of R&D, patents, and trademarks," Research Policy, Elsevier, vol. 40(7), pages 969-985, September.
    29. Adli Abouzeedan & Michael Busler, 2004. "Typology Analysis of Performance Models of Small and Medium-Size Enterprises (SMEs)," Journal of International Entrepreneurship, Springer, vol. 2(1_2), pages 155-177, March.
    30. Vishal Gaur & Marshall L. Fisher & Ananth Raman, 2005. "An Econometric Analysis of Inventory Turnover Performance in Retail Services," Management Science, INFORMS, vol. 51(2), pages 181-194, February.
    31. Craig S. Galbraith & Curt H. Stiles, 1983. "Firm profitability and relative firm power," Strategic Management Journal, Wiley Blackwell, vol. 4(3), pages 237-249, July.
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    5. Luis Javier Garcia-Martinez & Sascha Kraus & Matthias Breier & Andreas Kallmuenzer, 2023. "Untangling the relationship between small and medium-sized enterprises and growth: a review of extant literature," International Entrepreneurship and Management Journal, Springer, vol. 19(2), pages 455-479, June.

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