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Innovation Capabilities Using Fuzzy Logic Systems

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Applied Mathematics and Computational Intelligence (FIM 2015)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 730))

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Abstract

In recent decades, innovation has been recognized as one of the main sources of competitive advantage for organizations at an international level. Recently, numerous studies have been developed, mainly focused on the analyses of innovation processes in large companies, however, little has been done in the identification of innovative capabilities that allow small and medium-sized companies to compete in highly uncertain environments. This study presents the interpreted results of an innovation diagnosis utilizing the Experton method and the application of the generalized ordered weighted average operator (GOWA) for the treatment of information. The focus relies on seven organizational areas of small and medium-sized manufacturing companies. The applied questionnaire presents 32 exploration and 5 control questions applied to a total of 217 small and medium-sized companies in the Latin American city of Morelia, Mexico. The present work seeks to shed light in the diagnosis of innovation capabilities in manufacturing companies with the aim of fostering synergies and effectively allocate resources for the promotion of innovation management as a source of competitiveness and economic growth.

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References

  1. Adams, R., Bessant, J., Phelps, R.: Innovation management measurement: a review. Int. J. Manag. Rev. 8(1), 21–47 (2006)

    Article  Google Scholar 

  2. Alfaro García, V.G., Gil-Lafuente, A.M., Alfaro Calderon, G.G.: A fuzzy logic approach towards innovation measurement. Glob. J. Bus. Res. 9(3), 53–71 (2016)

    Google Scholar 

  3. Armbruster, H., Bikfalvi, A., Kinkel, S., Lay, G.: Organizational innovation: the challenge of measuring non-technical innovation in large-scale surveys. Technovation 28(10), 644–657 (2008)

    Article  Google Scholar 

  4. Burgelman, R.A., Christensen, C.M., Wheelwright, S.C.: Strategic Management of Technology and Innovation, 4th edn. McGraw Hill/Irwin, New York (2004)

    Google Scholar 

  5. Cebon, P., Newton, P.: Innovation in firms: towards a framework for indicator development. Melbourne Business School, no. 99-9 (1999)

    Google Scholar 

  6. Chiesa, V., Coughlan, P., Voss, C.A.: Development of a technical innovation audit. J. Prod. Innov. Manag. 13(2), 105–136 (1996)

    Article  Google Scholar 

  7. Cooper, R.G., Kleinschmidt, E.J.: Benchmarking the firm’s critical success factors in new product development. J. Prod. Innov. Manag. 12(5), 374–391 (1995)

    Article  Google Scholar 

  8. Cordero, R.: The measurement of innovation performance in the firm: an overview. Res. Policy 19, 185–192 (1990)

    Article  Google Scholar 

  9. Cormican, K., O’Sullivan, D.: Auditing best practice for effective product innovation management. Technovation 24(10), 819–829 (2004)

    Article  Google Scholar 

  10. Drejer, A.: Situations for innovation management: towards a contingency model. Eur. J. Innov. Manag. 5(1), 4–17 (2002)

    Article  Google Scholar 

  11. Dujmovic, J.J.: Weighted conjunctive and disjunctive means and their application in system evaluation. Univ. Beograd. Publ. Elektrotechn. Fak 483, 147–158 (1974)

    MathSciNet  MATH  Google Scholar 

  12. Dyckhoff, H., Pedrycz, W.: Generalized means as model of compensative connectives. Fuzzy Sets Syst. 14(2), 143–154 (1984)

    Article  MathSciNet  MATH  Google Scholar 

  13. Frenkel, A., Maital, S., Grupp, H.: Measuring dynamic technical change: a technometric approach. Int. J. Technol. Manag. 20, 429–441 (2000)

    Article  Google Scholar 

  14. Gimbert, X., Bisbe, J., Mendoza, X.: The role of performance measurement systems in strategy formulation processes. Long Range Plan. 43(4), 477–497 (2010)

    Article  Google Scholar 

  15. Goffin, K., Pfeiffer, R.: Innovation Management in UK and German Manufacturing Companies. Anglo-German Foundation for the Study of Industrial Society, London (1999)

    Google Scholar 

  16. Hobday, M.: Firm-level innovation models: perspectives on research in developed and developing countries. Technol. Anal. Strateg. Manag. 17, 121–146 (2005)

    Article  Google Scholar 

  17. i Ohme, E.T.: Guide for Managing Innovation: Part 1, Diagnosis. Generalitat de Catalunya, CIDEM (2002)

    Google Scholar 

  18. Instituto Nacional de Estadística y Geografía. Directorio Estadístico Nacional de Unidades Económicas. Recuperado de (2015). http://www3.inegi.org.mx/sistemas/mapa/denue/default.aspx. Último acceso: Mayo 2015

  19. Instituto Nacional de Estadística y Geografía. Las empresas en los Estados Unidos Mexicanos: Censos Económicos 2009. INEGI, México, c2012 (2009)

    Google Scholar 

  20. Instituto Nacional de Estadística y Geografía. Resultados de los módulos de innovación tecnológica: MIT 2008, 2006 y 2001. INEGI, México, c2010 (2010)

    Google Scholar 

  21. Kaufmann, A., Gil-Aluja, J.: Técnicas especiales para la gestión de expertos. Milladoro, España (1993)

    Google Scholar 

  22. Keupp, M.M., Palmié, M., Gassmann, O.: The strategic management of innovation: a systematic review and paths for future research. Int. J. Manag. Rev. 14(4), 367–390 (2012)

    Article  Google Scholar 

  23. Merigó, J.: Nuevas Extensiones a los Operadores OWA y su Aplicación en los Métodos de Decisión. Doctorando, Universitat de Barcelona, España (2008)

    Google Scholar 

  24. Nilsson, S., Wallin, J., Benaim, A., Annosi, M.C., Berntsson, R., Ritzen, S., Magnusson, M.: Re-thinking innovation measurement to manage innovation-related dichotomies in practice. In: Proceedings of the Continuous Innovation Network Conference, CINet 2012, Rome, Italy (2012)

    Google Scholar 

  25. Oke, A., Burke, G., Myers, A.: Innovation types and performance in growing UK SMEs. Int. J. Oper. Prod. Manag. 27(7), 735–753 (2007)

    Article  Google Scholar 

  26. Porter, M.E.: Competitive Strategy: Techniques for Analyzing Industries and Competition. Free Press, New York (1980)

    Google Scholar 

  27. Porter, M.E.: The competitive advantage of nations. Harvard Bus. Rev. 68, 73–93 (1990)

    Google Scholar 

  28. Rothwell, R.: Successful industrial innovation: critical factors for the 1990s. R&D Management 22, 221–239 (1992)

    Article  Google Scholar 

  29. Schumpeter, J.A.: The Theory of Economic Development: An Inquiry into Profits, Capital, Credit, Interest, and the Business Cycle, 55th edn. Transaction Publishers, London (1934)

    Google Scholar 

  30. Simons, R.: The role of management control systems in creating competitive advantage: new perspectives. Acc. Organ. Soc. 15(1–2), 127–143 (1990)

    Article  Google Scholar 

  31. Tidd, J.: A Review of Innovation Models. Imperial College London, London (2006)

    Google Scholar 

  32. Tidd, J.: Innovation management in context: environment, organization and performance. Int. J. Manag. Rev. 3(3), 169–183 (2001)

    Article  Google Scholar 

  33. Tidd, J., Bessant, J.: Managing Innovation: Integrating Technological, Market and Organizational Change, 5th edn. Wiley, Hoboken (2013)

    Google Scholar 

  34. Velasco Balmaseda, E., Zamanillo Elguezabal, I.: Evolución de las propuestas sobre el proceso de innovación: ¿qué se puede concluir de su estudio? Investigaciones Europeas de dirección y economía de la empresa 14(2), 127–138 (2008)

    Google Scholar 

  35. Verhaeghe, A., Kfir, R.: Managing innovation in a knowledge-intensive technology organization (KITO). R&D Manag. 32, 409–417 (2002)

    Article  Google Scholar 

  36. Yager, R.R.: Generalized OWA aggregation operators. Fuzzy Optim. Decis. Making 3(1), 93–107 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  37. Yager, R.R.: On ordered weighted averaging aggregation operators in multicriteria decision making. IEEE Trans. Syst. Man Cybernet. 18(1), 183–190 (1988)

    Article  MATH  Google Scholar 

  38. Yager, R.R., Kacprzyk, J.: The Ordered Weighted Averaging Operators: Theory and Applications, 1st edn. Springer Science & Business Media, New York (1997)

    Book  MATH  Google Scholar 

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Acknowledgements

The first author expresses his gratitude to the Mexican Council of Science and Technology (CONACYT) for the financial support given to this research project with the scholarship no. 381436 to graduate studies. Research supported by “Red Iberoamericana para la Competitividad, Innovación y Desarrollo” (REDCID) project number 616RT0515 in “Programa Iberoamericano de Ciencia y Tecnología para el Desarrollo” (CYTED).

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Authors and Affiliations

  1. Facultad de Economía y Empresa, Universitat de Barcelona, Av. Diagonal 690, 08034, Barcelona, Spain

    Víctor G. Alfaro-García & Anna M. Gil-Lafuente

  2. Facultad de Contaduría y Ciencias Administrativas, Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Mexico

    Gerardo G. Alfaro Calderón

Authors
  1. Víctor G. Alfaro-García
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  2. Anna M. Gil-Lafuente
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  3. Gerardo G. Alfaro Calderón
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Corresponding author

Correspondence to Víctor G. Alfaro-García .

Editor information

Editors and Affiliations

  1. Department of Business, University of Barcelona, Barcelona, Spain

    Anna M. Gil-Lafuente

  2. Department of Management Control and Information Systems, University of Chile, Santiago, Chile

    José M. Merigó

  3. Department of Mathematics, University of Delhi, Delhi, India

    Bal Kishan Dass

  4. Department of Applied Sciences, Delhi Technical Campus, Greater Noida, Uttar Pradesh, India

    Rajkumar Verma

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Alfaro-García, V.G., Gil-Lafuente, A.M., Alfaro Calderón, G.G. (2018). Innovation Capabilities Using Fuzzy Logic Systems. In: Gil-Lafuente, A., Merigó, J., Dass, B., Verma, R. (eds) Applied Mathematics and Computational Intelligence. FIM 2015. Advances in Intelligent Systems and Computing, vol 730. Springer, Cham. https://doi.org/10.1007/978-3-319-75792-6_20

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  • DOI: https://doi.org/10.1007/978-3-319-75792-6_20

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-75792-6

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