Publicado

2014-02-01

Entrepreneurship and Decision- Making in Latin America

Emprendimiento y toma de decisiones en Latinoamérica

Empreendedorismo e tomada de decisões na América Latina

DOI:

https://doi.org/10.15446/innovar.v24n1spe.47557

Palabras clave:

Entrepreneurship, Latin America, decision making, investment selection, aggregation operators, probabilities (en)
emprendimiento, Latinoamérica, toma de decisiones, selección de inversiones, operadores de agregación, probabilidade (es)
Empreendedorismo, América Latina, tomada de decisões, escolha de investimentos, operadores de agregação, probabilidades (pt)

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Autores/as

  • José M. Merigó University of Manchester
  • Marta Peris-Ortiz Universitat Politècnica de València
The principal purpose of this paper is to analyze different methods for decision making, with a focus on entrepreneurship in Latin America. Decision-making methods may be informed by aggregation operators that are based on the use of probabilities, weighted averages (WAs) and generalized aggregation operators. The paper presents a new generalized probabilistic weighted averaging (GPWA) operator that unifies WAs and probability in the same formulation, considering the degree of importance of each concept used in the analysis. The fundamental advantage of this approach is that it includes a wide range of particular cases including the probabilistic weighted averaging (PWA) operator, the probabilistic weighted geometric averaging (PWGA) operator and the probabilistic weighted quadratic averaging (PWQA) operator. Quasi-arithmetic means are used to obtain the Quasi-PWA operator and to generalize the approach, which is then applied to a set of hypothetical entrepreneurial investment decisions in a politically unified Latin American region.

El objetivo principal de este artículo es analizar diferentes métodos de toma de decisiones, con enfoque en el emprendimiento en Latinoamérica. Los métodos de toma de decisiones pueden recibir información por parte de operadores de agregación basados en el uso de probabilidades, promedios ponderados (PP) y operadores de agregación generalizados. El artículo presenta un nuevo operador probabilístico generalizado de promedios ponderados (GPWA) que unifica los promedios ponderados y la probabilidad en la misma formulación, considerando el grado de importancia de cada concepto usado en el análisis. La ventaja fundamental de este enfoque es que incluye un amplio rango de casos particulares, incluyendo el operador probabilístico de promedios ponderados, el operador probabilístico de promedios geométricos ponderados y el operador probabilístico de promedios cuadráticos ponderados. Se emplean medios cuasiaritméticos para obtener el operador cuasiprobabilístico de promedios ponderados y para generalizar el enfoque, que luego es aplicado a un conjunto de decisiones empresariales hipotéticas en cuanto a inversión en una región latinoamericana unificada políticamente.

O objetivo principal deste artigo é o de analisar diferentes métodos para tomar decisões, com enfoque no empreendedorismo na América Latina. Esses métodos podem receber informação de operadores de agregação apoiados no uso de probabilidades, médias ponderadas (MP) e operadores de agregação generalizados. O artigo apresenta um novo operador probabilístico generalizado de médias ponderadas (GMWA) que unifica as médias ponderadas e a probabilidade na mesma formulação, considerando o grau de importância de cada conceito utilizado na análise. A vantagem fundamental desta visão é que inclui uma ampla faixa de casos particulares: O operador probabilístico de médias ponderadas, o probabilístico de médias geométricas ponderadas e o probabilístico de médias quadráticas ponderadas. São utilizadas médias quasearitméticas para obter o operador quaseprobabilístico de médias ponderadas e para generalizar a visão e, depois é aplicado a um conjunto de decisões empresariais hipotéticas quanto a investimento em uma região latino-americana unificada politicamente.

Referencias

Antucheviciené, J., Zavadskas, E. K., & Zakarevicius, A. (2010). Multiple criteria construction management decisions considering relations between criteria. Technological and Economic Development of Economy, 16(1), 109-125.

Audretsch, D. B., & Thurik, R. (2001). Linking entrepreneurship to growth. Paris: OECD Directorate for Science, Technology and Industry Working Papers.

Barney, J. B., & Wright, P. M. (1998). On becoming a strategic partner: The role of human resources in gaining competitive advantage. Human Resource Management, 37(1), 31-46.

Baum, J. R., Locke, E. A., & Smith, K. G. (2001). A multidimensional model of venture growth, Academy of Management Journal, 44(2), 292-303.

Beliakov, G., Pradera, A., & Calvo, T. (2007). Aggregation functions: A guide for practitioners. Berlin: Springer-Verlag.

Belles, J., Merigó, J. M., Guillén, M., & Santolino, M. (2013). The connection between distortion risk measures and ordered weighted averaging operators. Insurance: Mathematics and Economics, 52(2), 411-420.

Blackburn, R., & Kovalainen, A. (2009). Researching small firms and en-trepreneurship: Past, present and future, International Journal of Management Reviews, 77(2), 127-148.

Calvo, T., Mayor, G., & Mesiar, R. (2002). Aggregation operators: New trends and applications. New York: Physica-Verlag.

Cuervo, A. (2005). Individual and environmental determinants of en-trepreneurship. International Entrepreneurship and Management Journal, 7, 293-311.

Dubini, P. (1989). The influence of motivations and environment on business start-ups: Some hints for public policies. Journal of Business Venturing, 4(1), 11-26

Engemann, K. J., Filev, D. P., & Yager, R. R. (1996). Modelling decision making using immediate probabilities. International Journal of General Systems, 24(3), 281-294.

Fodor, J., Marichal, J. L., & Roubens, M. (1995). Characterization of the ordered weighted averaging operators. IEEE Transactions on Fuzzy Systems, 3(2), 236-240.

Figueira J., Greco, S., & Ehrgott, M. (2005). Multiple criteria decision analysis: State of the art surveys. Boston: Springer.

Gil-Aluja, J. (1998). The interactive management of human resources in uncertainty. Dordrecht: Kluwer Academic Publishers.

Liu, P. D. (2013). The multi-attribute group decision-making method based on the interval grey linguistic variables weighted aggregation operator. Journal of Intelligent & Fuzzy Systems, 24(2), 405-414.

Hayton, J. C. (2005). Promoting corporate entrepreneurship through human resource management practices: A review of empirical research. Human Resource Management Review, 75, 21-41.

Hisrich, R. D., & Peters, M. (1989). Entrepreneurship: Starting, developing and managing a new enterprise (pp. 3-23). Boston: Richard D. Irwin, Inc.

Merigó, J. M. (2011). A unified model between the weighted average and the induced OWA operator. Expert Systems with Applications, 38(9), 11560-11572.

Merigó, J. M. (2012a). The probabilistic weighted average and its application in multi-person decision making. International Journal of Intelligent Systems, 27(5), 457-476.

Merigó, J. M. (2012b). Probabilities with OWA operators. Expert Systems with Applications, 39(13), 11456-11467.

Merigó, J. M., Gil-Lafuente, A. M., Zhou, L. G., & Chen, H. Y. (2012). Induced and linguistic generalized aggregation operators and their application in linguistic group decision making. Group Decision and Negotiation, 27 (4), 531-549.

Merigó, J. M., & Wei, G. W. (2011). Probabilistic aggregation operators and their application in uncertain multi-person decision making. Technological and Economic Development of Economy, 77(2), 335-351.

Merigó, J. M., & Yager, R. R. (2013). Generalized moving averages, distance measures and OWA operators. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 27(3), 533-559.

Parker, S., & Praag, M. (2012). The entrepreneur's mode of entry: Business takeover or new venture start? Journal of Business Venturing, 27(1), 31-46.

Porter, M. E. (1990). The competitive advantage of nations. New York: Free Press.

Reynolds, P., Bygrave, W. D., Autio, E., Cox, L. W., & Hay, M. (2002). Global Entrepreneurship Monitor. 2002 Executive Report, London: London School Business Eds., Babson College, Kauffman Center for Entrepreneurial Leadership.

Reynolds, P., Bygrave, W. D., Autio, E., et al. (2003). Global Entrepre-neurship Monitor. 2003 Executive Report. London: London School Business Eds., Babson College, Kauffman Center for Entrepreneurial Leadership.

Schumpeter, J. A. (1934). The theory of economic development. Cambridge, MA: Harvard University Press.

Shane, S. (2012). Reflections on the 2010 AMR Decade Award: Delivering on the Promise of Entrepreneurship as a Field of Research. Academy of Management Review, 37(1), 10-20.

Shane, S. & Venkataraman, S. (2000). The promise of entrepreneurship as a field of research. Academy of Management Review, 25(1), 217-226.

Sonmez, M., & Moorhouse, A. (2010). Purchasing professional services: Which decision criteria? Management Decision, 48(2), 189-206.

Storey, J. (1982). Impact on the local economy. In D. J. Storey (Ed.), Entrepreneurship and the new firm (pp. 167-180). London: Croom Helm.

Torra, V. (1997). The weighted OWA operator. International Journal of Intelligent Systems, 72(2), 153-166.

Torra, V., & Narukawa, Y. (2007). Modeling decision: Information fusion and aggregation operators. Berlin: Springer-Verlag.

Wei, G. W. (2010). GRA method for multiple attribute decision making method with incomplete weight information in intuitionistic fuzzy setting. Knowledge-Based Systems, 23(3), 243-247.

Wei, G. W., Zhao, X., & Lin, R. (2013). Some hybrid aggregating operators in linguistic decision making with Dempster-Shafer belief structure. Computers & Industrial Engineering, 65(4), 646-651.

Wennekers, S., & Thurik, R. (1999). Linking entrepreneurship and economic growth. Small Business Economics, 73(1), 27-55.

White, S. B., & Reynolds, P. (1996). Government programs and high growth new firms. Retrieved from http://fusionmx.babson.edu/entrep/fer/papers96/white/.

Xu, Z. S., & Cai, X. (2012). Uncertain power average operators for aggregating interval fuzzy preference relations. Group Decision and Negotiation, 27 (3), 381-397.

Xu, Z. S., & Da, Q. L. (2003). An overview of operators for aggregating the information. International Journal of Intelligent Systems, 78(9), 953-969.

Yager, R. R. (1988). On ordered weighted averaging aggregation operators in multi-criteria decision making. IEEE Transactions on Systems, Man and Cybernetics, B 78(1), 183-190.

Yager, R. R. (1993). Families of OWA operators. Fuzzy Sets and Systems, 59(2), 125-148.

Yager, R. R. (2004). Generalized OWA aggregation operators. Fuzzy Optimization and Decision Making, 3(1), 93-107.

Yager, R. R., Engemann, K. J., & Filev, D. P. (1995). On the concept of immediate probabilities. International Journal of Intelligent Systems, 70(4), 373-397.

Yager, R. R., & Kacprzyk, J. (1997). The ordered weighted averaging operators: Theory and applications. Norwell, MA: Kluwer Academic Publishers.

Yager, R. R., Kacprzyk, J., & Beliakov, G. (2011). Recent developments in the ordered weighted averaging operators: Theory and practice. Berlin: Springer-Verlag.

Yan, M. R. (2011). A fuzzy logic enhanced bargaining model for business pricing decision support in joint venture projects. Journal of Business Economics and Management, 72(2), 234-247.

Zavadskas, E. K., Kaklauskas, A., Turskis, Z., & Tamosaitiene, J. (2009). Multi-attribute decision-making model by applying grey numbers. Informatica, 20(2), 305-320.

Zavadskas, E. K., & Turskis, Z. (2011). Multiple criteria decision making (MCDM) methods in economics: An overview. Technological and Economic Development of Economy, 77(2), 397-427.

Zavadskas, E. K., Vilutiene, T., Turskis, Z., & Tamosaitiene, J. (2010). Contractor selection for construction works by applying SAW-G and TOPSIS grey techniques. Journal of Business Economics and Management, 77(1), 34-55.

Zhao, H., Xu, Z. S., Ni, M., & Liu, S. (2010). Generalized aggregation operators for intuitionistic fuzzy sets. International Journal of Intelligent Systems, 25(1), 1-30.

Zhang, X., & Liu, P. (2010). Method for aggregating triangular fuzzy intuitionistic fuzzy information and its application to decision making. Technological and Economic Development of Economy, 76(2), 280-290.

Zhou, L. G., & Chen, H. Y. (2010). Generalized ordered weighted logarithm aggregation operators and their applications to group decision making. International Journal of Intelligent Systems, 25(7), 683-707.

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Emprendimiento y toma de decisiones en Latinoamérica. (2014). Innovar, 24(1Spe), 101-111. https://doi.org/10.15446/innovar.v24n1spe.47557

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