Abstract
The economic crisis in recent years has brought significant challenges in almost all business and shown that exogenous factors act as catalysts in markets. As a consequence of such a result, there is a need to highlight the importance of implementing models for analyzing potential future firms’ behavior, namely creating models for assessing potential economic impact that contribute a lot in avoiding firms’ financial default . This chapter focuses on describing factors affecting business risk associated with Altman’s score and proposes a model in which indicators used are critical for firms’ financial distress. Altman’s Z-score is used to formulate SMEs ’ risk zone category in comparison with key factors associated with firms’ viability, such as ERP and Patents use, Age of firms, SMEs cooperation with universities and research centers to implement successful products and services, as well as the number of women in board, all derived from a field research. The aim of this chapter is to find signals of firms’ financial distress as well as actions needed to be taken to avoid it, in order to provide the management with certain strategic movements to avoid potential firms’ default .
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References
Altman, E. 1968. Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy. The Journal of Finance 22 (4): 589–609.
Altman, Edward I., and Edith Hotchkiss. 2006. Corporate Financial Distress & Bankruptcy, 3rd ed. Hoboken, NJ: Wiley.
Altman, E.I., and G. Sabato. 2007. Modeling Credit Risk for SMEs: Evidence from the US Market. Abacus 43 (3): 332–357.
Altman, Edward I., and Brenda Karlin. 2010. Defaults and Returns in the High Yield Bond Market: The Year 2009 in Review and Outlook. NYU Salomon Center Report. February.
Belderbos, R., M. Carree, and B. Lokshin. 2004. Cooperative R&D and Firm Performance. Research Policy 33 (May): 1477–1492.
Cai, H., and R. Fan. 2011. Analysis of Differences in Innovation Capacity and Performance of SMEs Clusters. Communications in Computer and Information Science 208: 310–316.
Davenport, S. 2005. Exploring the Role of Proximity in SME Knowledge-Acquisition. Research Policy 34 (5): 683–701.
De Faria, P., F. Lima, and R. Santos. 2010. Cooperation in Innovation Activities: The Importance of Partners. Research Policy 39 (8): 1082–1092.
Dressler, M. 2013. Innovation Management of German Wineries: From Activity to Capacity—An Explorative Multi-case Survey. Wine Economics and Policy 2 (1): 19–26.
Eurostat. 2004. The Fourth Community Innovation Survey—CIS IV The Harmonised Survey Questionnaire, (Cis Iv), 9. Retrieved from http://www.oecd.org/dataoecd/52/35/40140021.pdf.
Fontana, R., A. Geuna, and M. Matt. 2006. Factors Affecting University-industry R and D Projects: The Importance of Searching, Screening and Signalling. Research Policy 35: 309–323.
Freeman, C. and L. Soete. 1997. The Economics of Industrial Innovation, 3rd ed. Cambridge MA: MIT Press.
Gebauer, H., H. Worch, and B. Truffer. 2012. Absorptive Capacity, Learning Processes and Combinative Capabilities as Determinants of Strategic Innovation. European Management Journal 30 (1): 57–73.
Gestel, T., B. Baesens, J. Suykens, D. Van den Poel, D. Baestaens, and M. Willekens. 2006. Bayesian Kernel Based Classification for Financial Distress Detection. European Journal of Operational Research 172 (3): 979–1003.
Glennon, D., and P. Nigro. 2005. Measuring the Default Risk of Small Business Loans: A Survival Analysis Approach. Journal of Money, Credit and Banking 37 (5): 923–947.
Grunert, J., L. Norden, and M. Weber. 2004. The Role of Nonfinancial Factors in Internal Credit Ratings. Journal of Banking and Finance 29: 509–531.
Guan, J., and Q. Zhao. 2013. The Impact of University-Industry Collaboration Networks on Innovation in Nanobiopharmaceuticals. Technological Forecasting and Social Change 80 (7): 1271–1286.
Hall, Bronwyn H., and J. Lerner. 2010. The Financing of R&D and Innovation. In Handbook of the Economics of Innovation, eds. Hall, Bronwyn H. and Rosenberg, Nathan. North Holland.
Hagen, B., A. Zucchella, D. Guido, M. Grassi, P. Liesch, J. Weerawardena, and G. Sullivan-Mort. 2012. Inside the black box. Learning, innovation and SMEs international performance. Competitive paper presented at the 38th EIBA Annual Conference “International Business and Sustainable Development”, Brighton-Sussex.
Herrmann, B., and A.S. Kritikos. 2013. Growing Out of the Crisis: Hidden Assets to Greece’s Transition to an Innovation Economy. IZA Journal of European Labor Studies 2 (14): 1–23. Retrieved from ftp.iza.org/dp7606.pdf.
Hoffman, K., M. Parejo, J. Bessant, and L. Perren. 1998. Small Firms, R&D, Technology and Innovation in the UK: A Literature Review. Technovation 18 (1): 39–55.
Kang, K.N., and H. Park. 2012. Influence of Government R&D Support and Inter-firm Collaborations on Innovation in Korean Biotechnology SMEs. Technovation 32 (1): 68–78.
Keupp, M.M., M. Palmié, and O. Gassmann. 2012. The Strategic Management of Innovation: A Systematic Review and Paths for Future Research. International Journal of Management Reviews 14: 367–390.
Kim, S.H., and K.H. Huarng. 2011. Winning Strategies for Innovation and High-technology Products Management. Journal of Business Research 64 (11): 1147–1150.
Klomp, L., and G. Van Leeuwen. 2001. Linking Innovation and Firm Performance: A New Approach. International Journal of the Economics of Business 8 (3): 343–364.
Kumral, N., S. Akgüngör, and A. Lenger. 2006. National Industry Clusters: The Case of Turkey.
Lai, Y.L., M.S. Hsu, F.J. Lin, Y.M. Chen, and Y.H. Lin. 2014. The Effects of Industry Cluster Knowledge Management on Innovation Performance. Journal of Business Research 67 (5): 734–739.
Lee, S., G. Park, B. Yoon, and J. Park. 2010. Open Innovation in SMEs-An Intermediated Network Model. Research Policy 39 (2): 290–300.
Lee, Y., J. Shin, and Y. Park. 2012. The Changing Pattern of SME’s Innovativeness Through Business Model Globalization. Technological Forecasting and Social Change 79 (5): 832–842.
Lehmann, B. 2003. Is It Worth the While? The Relevance of Qualitative Information in Credit Rating. Working Paper presented at the EFMA 2003 Meetings, Helsinki, 2003.
Lemonakis, C., F. Voulgaris, K. Vassakis, and S. Christakis. 2013a. Innovation and Manufacturing Exports: The Case of Greek Firms. Journal of Computational Optimization in Economics and Finance 5 (2): 95–107. Retrieved from https://www.researchgate.net/publication/262726986_Innovation_and_Manufacturing_Exports_The_Case_of_Greek_Firms.
Lemonakis, C., F. Voulgaris, K. Vassakis, and S. Christakis. 2013b. Profit Performance of Exporting and Non-Exporting Agricultural Manufacturing Firms: The Case of Greece. In 8th International Conference New Horizons in Industry, Business and Education NHIBE 2013, 419–426.
López-Nicolás, C., and Á.L. Meroño-Cerdán. 2011. Strategic Knowledge Management, Innovation and Performance. International Journal of Information Management 31: 502–509.
Markatou, M. 2011. A taxonomy of Innovations in Greece: Implications for Innovation Policy and Management. Procedia—Social and Behavioral Sciences 25: 115–122.
Merton, R. 1974. On the Pricing of Corporate Debt: The Risk Structure of Interest Rates. The Journal of Finance 29: 449–470.
Muscio, A., and G. Nardone. 2012. The Determinants of University-Industry Collaboration in Food Science in Italy. Food Policy 37 (6): 710–718.
Ozman, M. 2009. Inter-firm Networks and Innovation: A Survey of Literature. Economics of Innovation and New Technology 18 (1): 39–67.
Papadopoulos, T., T. Stamati, M. Nikolaidou, and D. Anagnostopoulos. 2013. From Open Source to Open Innovation Practices: A Case in the Greek Context in Light of the Debt Crisis. Technological Forecasting and Social Change 80 (6): 1232–1246.
Platt, H., and M. Platt. 2002. Predicting Corporate Financial Distress: Reflections on Choice-Based Sample Bias. Journal of Economics and Finance 26 (2): 184–199.
Revilla, A.J., and Z. Fernández. 2012. The Relation Between Firm Size and R&D Productivity in Different Technological Regimes. Technovation 32: 609–623.
Sarvan, F., E. Durmuş, C.D. Köksal, G.G. Başer, O. Dirlik, M. Atalay, and F. Almaz. 2011. Network Based Determinants of Innovation Performance in Yacht Building Clusters. Procedia—Social and Behavioral Sciences 24: 1671–1685.
Sawers, J.L., M.W. Pretorius, and L.A.G. Oerlemans. 2008. Safeguarding SMEs Dynamic Capabilities in Technology Innovative SME-Large Company Partnerships in South Africa. Technovation 28: 171–182.
Sedziuviene, N., and J. Vveinhardt. 2010. Competitiveness and Innovations: Role of Knowledge Management at a Knowledge Organization. Inzinerine Ekonomika-engineering Economics 21 (5): 525–536.
Sengupta, J. 2012. Dynamics of Industry Growth. New York: Springer Science + Business Media.
Smits, R. 2002. Innovation Studies in the 21st Century: Questions from a User’s Perspective. Technological Forecasting and Social Change 69: 861–883.
Solleiro, J.L., and C. Gaona. 2012. Promotion of a Regional Innovation System: The Case of the State of Mexico. Procedia—Social and Behavioral Sciences 52: 110–119.
Soriano, R.D., and K. Huarng. 2013. Innovation and entrepreneurship in knowledge industries. Journal of Business Research, 66: 1964–1969.
Sum, V. 2013. Innovation and Firm Performance: Evidence from the Capital Market. Journal of Modern Accounting and Auditing 9 (2): 272–277.
Tödtling, F., P. Lehner, and A. Kaufmann. 2009. Do Different Types of Innovation Rely on Specific Kinds of Knowledge Interactions? Technovation 29: 59–71.
Tödtling, F., and M. Trippl. 2005. One Size Fits All?: Towards a Differentiated Regional Innovation Policy Approach. Research Policy 34: 1203–1219.
Villa, A., and D. Antonelli. 2009. A Road Map to the Development of European SME Networks. Towards Collaborative Innovation. Finance. XII. Berlin: Springer, ISBN: 978-1-84800-341-5.
Wei, S., X. Li, and G. Wu. 2009. Absorptive Capability, Local Innovation Networks, and International R&D Spillovers. In The China Information Technology Handbook, ed. P. Ordóñez de Pablos and M. Lytras, 1–33. New York: Springer.
Zeng, S.X., X.M. Xie, and C.M. Tam. 2010. Relationship Between Cooperation Networks and Innovation Performance of SMEs. Technovation 30 (3): 181–194.
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Lemonakis, C., Garefalakis, A., Giannarakis, G., Tabouratzi, E., Zopounidis, C. (2017). Innovation and SMEs Financial Distress During the Crisis Period: The Greek Paradigm. In: Floros, C., Chatziantoniou, I. (eds) The Greek Debt Crisis. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-319-59102-5_10
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DOI: https://doi.org/10.1007/978-3-319-59102-5_10
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