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Visualizing Industrial Development Distance to Better Understand Internationalization of Spanish Companies

  • Alfredo Jiménez
  • Alvaro Herrero
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 771)

Abstract

The analysis of bilateral distance between home and host countries is a key issue in the internationalization strategy of companies. As a multi-faceted concept, distance encompasses multiple dimensions, with psychic distance being one of the most critical ones for the overseas investments of firms. Among all the psychic distance stimuli that have been proposed until now, the present paper focuses on Industrial Development Distance (IDD). Together with data from both the countries and the companies, IDD is analysed by means of neural projection models based on unsupervised learning, to gain deep knowledge about the internationalization strategy of Spanish large companies. Informative projections are obtained from a real-life dataset, leading to useful conclusions and the identification of those destinations attracting large flows of investment but with a particular idiosyncrasy.

Keywords

Artificial neural networks Unsupervised learning Exploratory projection Industrial development distance Internationalization 

Notes

Acknowledgments

The work was conducted during Álvaro Herrero’s research stay at KEDGE Business School in Bordeaux.

References

  1. 1.
    Zaheer, S., Schomaker, M.S., Nachum, L.: Distance without direction: restoring credibility to a much-loved construct. J. Int. Bus. Stud. 43, 18–27 (2012)CrossRefGoogle Scholar
  2. 2.
    Jiménez, A., Benito-Osorio, D., Puck, J., Klopf, P.: The multi-faceted role of experience dealing with policy risk: the impact of intensity and diversity of experiences. Int. Bus. Rev. 27, 102–112 (2018)CrossRefGoogle Scholar
  3. 3.
    Ghemawat, P.: Distance still matters. Harv. Bus. Rev. 79, 137–147 (2001)Google Scholar
  4. 4.
    Berry, H., Guillén, M.F., Zhou, N.: An institutional approach to cross-national distance. J. Int. Bus. Stud. 41, 1460–1480 (2010)CrossRefGoogle Scholar
  5. 5.
    Hofstede, G.: Culture’s consequences: international differences in work-related values. Sage Publications, Beverly Hills (1980)Google Scholar
  6. 6.
    Hofstede, G., Hofstede, G.J., Minkov, M.: Cultures and organizations: software of the mind. McGraw-Hill, New York (2010)Google Scholar
  7. 7.
    Kogut, B., Singh, H.: The effect of national culture on the choice of entry mode. J. Int. Bus. Stud. 19, 411–432 (1988)CrossRefGoogle Scholar
  8. 8.
    Tung, R.L., Verbeke, A.: Beyond Hofstede and globe: improving the quality of cross-cultural research. J. Int. Bus. Stud. 41, 1259–1274 (2010)CrossRefGoogle Scholar
  9. 9.
    Dow, D., Karunaratna, A.: Developing a multidimensional instrument to measure psychic distance stimuli. J. Int. Bus. Stud. 37, 575–577 (2006)CrossRefGoogle Scholar
  10. 10.
    Håkanson, L., Ambos, B.: The antecedents of psychic distance. J. Int. Manag. 16, 195–210 (2010)CrossRefGoogle Scholar
  11. 11.
    Brewer, P.A.: Operationalizing psychic distance: a revised approach. J. Int. Mark. 15, 44–66 (2007)CrossRefGoogle Scholar
  12. 12.
    Johanson, J., Vahlne, J.-E.: The internationalization process of the firm: a model of knowledge development and increasing foreign market commitments. J. Int. Bus. Stud. 8, 23–32 (1977)CrossRefGoogle Scholar
  13. 13.
    Jiménez, A., de la Fuente, D.: Learning from others: the impact of vicarious experience on the psychic distance and FDI relationship. Manag. Int. Rev. 56, 633–664 (2016)CrossRefGoogle Scholar
  14. 14.
    Shenkar, O.: Cultural distance revisited: towards a more rigorous conceptualization and measurement of cultural differences. J. Int. Bus. Stud. 32, 519–536 (2001)CrossRefGoogle Scholar
  15. 15.
    Kirkman, B.L., Lowe, K.B., Gibson, C.B.: A quarter century of culture’s consequences: a review of empirical research incorporating Hofstede’s cultural values framework. J. Int. Bus. Stud. 37, 285–320 (2006)CrossRefGoogle Scholar
  16. 16.
    Dunning, J.H.: Multinational enterprises and the global economy. Addison-Wesley, Wokinham (1993)Google Scholar
  17. 17.
    Li, E.Y.: Artificial neural networks and their business applications. Inf. Manag. 27, 303–313 (1994)CrossRefGoogle Scholar
  18. 18.
    Hill, T., Marquez, L., O’Connor, M., Remus, W.: Artificial neural network models for forecasting and decision making. Int. J. Forecast. 10, 5–15 (1994)CrossRefGoogle Scholar
  19. 19.
    Zhang, G., Hu, M.Y., Patuwo, B.E., Indro, D.C.: Artificial neural networks in bankruptcy prediction: general framework and cross-validation analysis. Eur. J. Oper. Res. 116, 16–32 (1999)CrossRefGoogle Scholar
  20. 20.
    Garcia, R.F., Rolle, J.L.C., Gomez, M.R., Catoira, A.D.: Expert condition monitoring on hydrostatic self-levitating bearings. Expert Syst. Appl. 40, 2975–2984 (2013)CrossRefGoogle Scholar
  21. 21.
    Herrero, Á., Corchado, E., Jiménez, A.: Unsupervised neural models for country and political risk analysis. Expert Syst. Appl. 38, 13641–13661 (2011)Google Scholar
  22. 22.
    Pearson, K.: On lines and planes of closest fit to systems of points in space. Phil. Mag. 2, 559–572 (1901)CrossRefGoogle Scholar
  23. 23.
    Oja, E.: Principal components, minor components, and linear neural networks. Neural Netw. 5, 927–935 (1992)CrossRefGoogle Scholar
  24. 24.
    Fyfe, C.: A neural network for PCA and beyond. Neural Process. Lett. 6, 33–41 (1997)CrossRefGoogle Scholar
  25. 25.
    Corchado, E., MacDonald, D., Fyfe, C.: Maximum and minimum likelihood Hebbian learning for exploratory projection pursuit. Data Min. Knowl. Discov. 8, 203–225 (2004)MathSciNetCrossRefGoogle Scholar
  26. 26.
    Corchado, E., Fyfe, C.: Connectionist techniques for the identification and suppression of interfering underlying factors. Int. J. Pattern Recognit. Artif. Intell. 17, 1447–1466 (2003)CrossRefGoogle Scholar
  27. 27.
    Seung, H.S., Socci, N.D., Lee, D.: The rectified gaussian distribution. Adv. Neural. Inf. Process. Syst. 10, 350–356 (1998)Google Scholar
  28. 28.
    Jiménez, A.: Does political risk affect the scope of the expansion abroad? evidence from Spanish MNEs. Int. Bus. Rev. 19, 619–633 (2010)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of ManagementKEDGE Business SchoolBordeauxFrance
  2. 2.Grupo de Inteligencia Computacional Aplicada (GICAP), Departamento de Ingeniería Civil, Escuela Politécnica SuperiorUniversidad de BurgosBurgosSpain

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