A non-parametric analysis of competitiveness efficiency: The relevance of firm size and the configuration of competitive pillars

This study employs a DEA model with a single constant input to analyze the competitiveness performance of a unique sample of 103 knowledge-intensive business service (KIBS) firms from Hungary, Spain, Colombia and Costa Rica for the year 2017. Also, we assess how the configuration of competitive pill...

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Autores:
Lafuente, Esteban
Leiva, Juan Carlos
Moreno-Gómez, Jorge
Laszlo, Szerb
Tipo de recurso:
Article of journal
Fecha de publicación:
2019
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/6169
Acceso en línea:
https://hdl.handle.net/11323/6169
https://doi.org/10.1016/j.brq.2019.02.002
https://repositorio.cuc.edu.co/
Palabra clave:
Competitiveness
System dynamics
DEA
Benchmarking
Rights
openAccess
License
CC0 1.0 Universal
id RCUC2_0c0612204c5b75ec026f4144195bf243
oai_identifier_str oai:repositorio.cuc.edu.co:11323/6169
network_acronym_str RCUC2
network_name_str REDICUC - Repositorio CUC
repository_id_str
dc.title.spa.fl_str_mv A non-parametric analysis of competitiveness efficiency: The relevance of firm size and the configuration of competitive pillars
title A non-parametric analysis of competitiveness efficiency: The relevance of firm size and the configuration of competitive pillars
spellingShingle A non-parametric analysis of competitiveness efficiency: The relevance of firm size and the configuration of competitive pillars
Competitiveness
System dynamics
DEA
Benchmarking
title_short A non-parametric analysis of competitiveness efficiency: The relevance of firm size and the configuration of competitive pillars
title_full A non-parametric analysis of competitiveness efficiency: The relevance of firm size and the configuration of competitive pillars
title_fullStr A non-parametric analysis of competitiveness efficiency: The relevance of firm size and the configuration of competitive pillars
title_full_unstemmed A non-parametric analysis of competitiveness efficiency: The relevance of firm size and the configuration of competitive pillars
title_sort A non-parametric analysis of competitiveness efficiency: The relevance of firm size and the configuration of competitive pillars
dc.creator.fl_str_mv Lafuente, Esteban
Leiva, Juan Carlos
Moreno-Gómez, Jorge
Laszlo, Szerb
dc.contributor.author.spa.fl_str_mv Lafuente, Esteban
Leiva, Juan Carlos
Moreno-Gómez, Jorge
Laszlo, Szerb
dc.subject.spa.fl_str_mv Competitiveness
System dynamics
DEA
Benchmarking
topic Competitiveness
System dynamics
DEA
Benchmarking
description This study employs a DEA model with a single constant input to analyze the competitiveness performance of a unique sample of 103 knowledge-intensive business service (KIBS) firms from Hungary, Spain, Colombia and Costa Rica for the year 2017. Also, we assess how the configuration of competitive pillars----strengths and weaknesses----impacts efficiency and how firm size moderates this relationship. The mean efficiency scores by which the competitiveness output can be optimized is 47.43%. The results suggest that the configuration of competitive pillars has important implications for efficiency analyses. For small businesses, competitiveenhancing actions should focus on mitigating competitive weaknesses that are detrimenta to efficiency. Also, a configuration of competitive pillars in which one or various competitive strengths prevail is more beneficial for small businesses. Managerial tools such as the proposed competitiveness measure may offer useful information on what strategic actions can contribute to optimize business competitiveness.
publishDate 2019
dc.date.issued.none.fl_str_mv 2019-02-07
dc.date.accessioned.none.fl_str_mv 2020-04-12T18:42:59Z
dc.date.available.none.fl_str_mv 2020-04-12T18:42:59Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.type.content.spa.fl_str_mv Text
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dc.identifier.issn.spa.fl_str_mv 2340-9444
dc.identifier.uri.spa.fl_str_mv https://hdl.handle.net/11323/6169
dc.identifier.doi.spa.fl_str_mv https://doi.org/10.1016/j.brq.2019.02.002
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv https://repositorio.cuc.edu.co/
identifier_str_mv 2340-9444
Corporación Universidad de la Costa
REDICUC - Repositorio CUC
url https://hdl.handle.net/11323/6169
https://doi.org/10.1016/j.brq.2019.02.002
https://repositorio.cuc.edu.co/
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.references.spa.fl_str_mv Aral, S., Weill, P., 2007. IT assets, organizational capabilities, and firm performance: how resource allocations and organizational differences explain performance variation. Organ. Sci. 18 (5), 763---780.
Arend, R.J., 2004. The definition of strategic liabilities, and their impact on firm performance. J. Manage. Stud. 41 (6), 1003---1027.
Arora, A., Cohen, W.M., 2015. Public support for technical advance: the role of firm size. Ind. Corp. Change 24 (4), 791---802.
Atkinson, K.E., 2008. An introduction to Numerical Analysis. John Wiley & Sons.
Barney, J.B., 1991. Firm resources and sustained competitive advantage. J. Manage. 17 (1), 99---120.
Barney, J.B., 2001. Resource-based theories of competitive advantage: a ten-year retrospective on the resource-based view. J. Manage. 27 (6), 643---650.
Belderbos, R., Sleuwaegen, L., 2005. Competitive drivers and international plant configuration strategies: a product-level test. Strategic Manage. J. 26, 577---593.
Cherchye, L., Moesen, W., Van Puyenbroeck, T., 2004. Legitimately diverse, yet comparable: on synthesizing social inclusion performance in the EU. J. Common Market St. 42, 919---955.
Cherchye, L., Moesen, W., Rogge, N., Van Puyenbroeck, T., 2007. An introduction to ‘benefit of the doubt’composite indicators. Soc. Indic. Res. 82 (1), 111---145.
Cooper, W.W., Seiford, L.M., Zhu, J., 2011. Handbook on Data Envelopment Analysis, 2nd edition. Springer, New York.
Cusumano, M.A., Kahl, S.J., Suarez, F.F., 2015. Services, industry evolution, and the competitive strategies of product firms. Strategic Manage. J. 36 (4), 559---575.
Douglas, T.J., Ryman, J.A., 2003. Understanding competitive advantage in the general hospital industry: evaluating strategic competencies. Strategic Manage. J. 24 (4), 333---347.
European Commission, 2012. Knowledge-Intensive (Business) Services in Europe. Publications Office of the European Union, Luxembourg.
Fang, H.C., Randolph, R.V., Memili, E., Chrisman, J.J., 2016. Does size matter? The moderating effects of firm size on the employment of nonfamily managers in privately held family SMEs. Entrep. Theory Pract. 40 (5), 1017---1039.
Fernhaber, S., Patel, P., 2012. How do young firms manage product portfolio complexity? The role of absorptive capacity and ambidexterity. Strategic Manage. J. 33, 1516---1539.
Fuchs, E., Kirchain, R., 2010. Design for location? The impact of manufacturing offshore on technology competitiveness in the optoelectronics industry. Manage. Sci. 56, 2323---2349.
Greene, W., 2003. Econometric Analysis, 5th edition. Upper Saddle River, New Jersey.
Grifell-Tatjé, E., Lovell, C.A.K., 2015. Productivity Accounting: The Economics of Business Performance. Cambridge University Press, New York.
Julien, P.A., Ramangalahy, C., 2003. Competitive strategy and performance of exporting SMEs: an empirical investigation of the impact of their export information search and competencies. Entrep. Theory Pract. 27 (3), 227---245.
Karagiannis, G., Lovell, C.A.K., 2016. Productivity measurement in radial DEA models with a single constant input. Eur. J. Oper. Res. 251 (1), 323---328.
Kingsley, G., Malecki, E.J., 2004. Networking for competitiveness. Small Bus. Econ. 23 (1), 71---84.
Lafuente, E., Szerb, L., Rideg, A., 2016. A system dynamics approach for assessing business competitiveness. In: Working Paper presented at the 30th RENT Conference, Belgium, November 16th---18th. University of Antwerp.
Lafuente, E., Vaillant, Y., Leiva, J.C., 2018. Sustainable and traditional product innovation without scale and experience, but only for KIBS! Sustainability 10 (4), 1169.
Lafuente, E., Vaillant, Y., Vendrell-Herrero, F., 2017. Territorial servitization: exploring the virtuous circle connecting knowledge-intensive services and new manufacturing businesses. Int. J. Prod. Econ. 192, 19---28.
Lazear, E.P., 2004. Balanced skills and entrepreneurship. Am. Econ. Rev. 94 (2), 208---211.
Lederer, M., Schott, P., Huber, S., Kurz, M., 2013. Strategic business process analysis: a procedure model to align business strategy with business process analysis methods. In: S-BPM ONE-Running Processes. Springer, Berlin Heidelberg, pp. 247---263.
Liu, W.B., Zhang, D.Q., Meng, W., Li, X.X., Xu, F., 2011. A study of DEA models without explicit inputs. Omega 39, 472---480.
Lo, S.-F., 2010. The differing capabilities to respond to the challenge of climate change across annex parties under the Kyoto protocol. Environ. Sci. Policy 13, 42---54.
Lovell, C.A.K., Pastor, J.T., 1999. Radial DEA models without inputs or without outputs. Eur. J. Oper. Res. 188 (1), 46---51.
Lovell, C.A.K., Pastor, J.T., Turner, J.A., 1995. Measuring macroeconomic performance in the OECD: a comparison of European and non-European countries. Eur. J. Oper. Res. 87, 507---518.
Man, T.W.Y., Lau, T., Chan, K.F., 2002. The competitiveness of small and medium enterprises: a conceptualization with focus on entrepreneurial competencies. J. Bus. Venturing 17, 123---142. Please cite this article in press as: Lafuente, E., et al., A non-parametric analysis of competitiveness efficiency: The relevance of firm size and the configuration of competitive pillars. BRQ Bus. Res. Q. 2019 , https://doi.org/10.1016/j.brq.2019.02.002
Miller, D., 1986. Configurations of strategy and structure: towards a synthesis. Strategic Manage. J. 7, 233---249.
Miller, D., 1996. Configurations revisited. Strategic Manage. J. 17, 505---512.
Miller, D., Whitney, J.O., 1999. Beyond strategy: configuration as a pillar of competitive advantage. Bus. Horiz., 5---17, May-June.
Mizobuchi, H., 2014. Measuring world better life frontier: a composite indicator for OECD better life index. Soc. Indic. Res. 118, 987---1007.
Newbert, S., 2007. Empirical research on the resource-based view of the firm: an assessment and suggestions for future research. Strategic Manage. J. 28 (2), 121---146.
Newbert, S., 2008. Value, rareness, competitive advantage, and performance: a conceptual-level empirical investigation of the resource-based view of the firm. Strategic Manage. J. 29 (7), 745---768.
Nunnally, J.C., Bernstein, I.H., 1994. Psychometric Theory. McGrawHill, New York.
O’Cass, A., Weerawardena, J., 2010. The effects of perceived industry competitive intensity and marketing-related capabilities: drivers of superior brand performance. Ind. Market. Manage. 39 (4), 571---581.
Odeck, J., 2006. Identifying traffic safety best practice: an application of DEA and Malmquist indices. Omega 34, 28---40.
Opresnik, D., Taisch, M., 2015. The value of big data in servitization. Int. J. Prod. Econ. 165, 174---184.
Prahalad, C.K., Hamel, G., 1990. The core competence of the corporation. Harv. Bus. Rev. 68 (May---June), 79---91.
Priem, R., Butler, J., 2001. Is the resource-based ‘view’ a useful perspective for strategic management research? Acad. Manage. Rev. 26, 22---40.
Robinson, C.V., Simmons, J.E., 2018. Organising environmental scanning: exploring information source, mode and the impact of firm size. Long Range Plann. 51 (4), 526---539 (in press).
Sirmon, D.G., Hitt, M.A., Arregle, J.L., Campbell, J.T., 2010. The dynamic interplay of capability strengths and weaknesses: investigating the bases of temporary competitive advantage. Strategic Manage. J. 31 (13), 1386---1409.
Soares de Mello, J.C.C.B., Angulo-Meza, L., Branco da Silva, B.P., 2009. A ranking for the Olympic games with unitary input DEA models. IMA J. Manage. Math. 20, 201---211.
Tarabusi, E.C., Guarini, G., 2013. An unbalance adjustment method for development indicators. Soc. Indic. Res. 112 (1), 19---45.
Wernerfelt, B., 1984. A resource-based view of the firm. Strategic Manage. J. 5 (2), 171---180.
West, G.P., De Castro, J., 2001. The Achilles heel of firm strategy: resource weakness and distinctive inadequacies. J. Manage. Stud. 38 (3), 417---442.
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spelling Lafuente, EstebanLeiva, Juan CarlosMoreno-Gómez, JorgeLaszlo, Szerb2020-04-12T18:42:59Z2020-04-12T18:42:59Z2019-02-072340-9444https://hdl.handle.net/11323/6169https://doi.org/10.1016/j.brq.2019.02.002Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/This study employs a DEA model with a single constant input to analyze the competitiveness performance of a unique sample of 103 knowledge-intensive business service (KIBS) firms from Hungary, Spain, Colombia and Costa Rica for the year 2017. Also, we assess how the configuration of competitive pillars----strengths and weaknesses----impacts efficiency and how firm size moderates this relationship. The mean efficiency scores by which the competitiveness output can be optimized is 47.43%. The results suggest that the configuration of competitive pillars has important implications for efficiency analyses. For small businesses, competitiveenhancing actions should focus on mitigating competitive weaknesses that are detrimenta to efficiency. Also, a configuration of competitive pillars in which one or various competitive strengths prevail is more beneficial for small businesses. Managerial tools such as the proposed competitiveness measure may offer useful information on what strategic actions can contribute to optimize business competitiveness.Lafuente, Esteban-will be generated-orcid-0000-0001-5889-7656-600Leiva, Juan Carlos-will be generated-orcid-0000-0001-9653-4629-600Moreno-Gómez, Jorge-will be generated-orcid-0000-0002-8828-4284-600Laszlo, Szerb-will be generated-orcid-0000-0002-6964-7422-600engBRQ Business Research QuarterlyCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2CompetitivenessSystem dynamicsDEABenchmarkingA non-parametric analysis of competitiveness efficiency: The relevance of firm size and the configuration of competitive pillarsArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersionAral, S., Weill, P., 2007. IT assets, organizational capabilities, and firm performance: how resource allocations and organizational differences explain performance variation. Organ. Sci. 18 (5), 763---780.Arend, R.J., 2004. The definition of strategic liabilities, and their impact on firm performance. J. Manage. Stud. 41 (6), 1003---1027.Arora, A., Cohen, W.M., 2015. Public support for technical advance: the role of firm size. Ind. Corp. Change 24 (4), 791---802.Atkinson, K.E., 2008. An introduction to Numerical Analysis. John Wiley & Sons.Barney, J.B., 1991. Firm resources and sustained competitive advantage. J. Manage. 17 (1), 99---120.Barney, J.B., 2001. Resource-based theories of competitive advantage: a ten-year retrospective on the resource-based view. J. Manage. 27 (6), 643---650.Belderbos, R., Sleuwaegen, L., 2005. Competitive drivers and international plant configuration strategies: a product-level test. Strategic Manage. J. 26, 577---593.Cherchye, L., Moesen, W., Van Puyenbroeck, T., 2004. Legitimately diverse, yet comparable: on synthesizing social inclusion performance in the EU. J. Common Market St. 42, 919---955.Cherchye, L., Moesen, W., Rogge, N., Van Puyenbroeck, T., 2007. An introduction to ‘benefit of the doubt’composite indicators. Soc. Indic. Res. 82 (1), 111---145.Cooper, W.W., Seiford, L.M., Zhu, J., 2011. Handbook on Data Envelopment Analysis, 2nd edition. Springer, New York.Cusumano, M.A., Kahl, S.J., Suarez, F.F., 2015. Services, industry evolution, and the competitive strategies of product firms. Strategic Manage. J. 36 (4), 559---575.Douglas, T.J., Ryman, J.A., 2003. Understanding competitive advantage in the general hospital industry: evaluating strategic competencies. Strategic Manage. J. 24 (4), 333---347.European Commission, 2012. Knowledge-Intensive (Business) Services in Europe. Publications Office of the European Union, Luxembourg.Fang, H.C., Randolph, R.V., Memili, E., Chrisman, J.J., 2016. Does size matter? The moderating effects of firm size on the employment of nonfamily managers in privately held family SMEs. Entrep. Theory Pract. 40 (5), 1017---1039.Fernhaber, S., Patel, P., 2012. How do young firms manage product portfolio complexity? The role of absorptive capacity and ambidexterity. Strategic Manage. J. 33, 1516---1539.Fuchs, E., Kirchain, R., 2010. Design for location? The impact of manufacturing offshore on technology competitiveness in the optoelectronics industry. Manage. Sci. 56, 2323---2349.Greene, W., 2003. Econometric Analysis, 5th edition. Upper Saddle River, New Jersey.Grifell-Tatjé, E., Lovell, C.A.K., 2015. Productivity Accounting: The Economics of Business Performance. Cambridge University Press, New York.Julien, P.A., Ramangalahy, C., 2003. Competitive strategy and performance of exporting SMEs: an empirical investigation of the impact of their export information search and competencies. Entrep. Theory Pract. 27 (3), 227---245.Karagiannis, G., Lovell, C.A.K., 2016. Productivity measurement in radial DEA models with a single constant input. Eur. J. Oper. Res. 251 (1), 323---328.Kingsley, G., Malecki, E.J., 2004. Networking for competitiveness. Small Bus. Econ. 23 (1), 71---84.Lafuente, E., Szerb, L., Rideg, A., 2016. A system dynamics approach for assessing business competitiveness. In: Working Paper presented at the 30th RENT Conference, Belgium, November 16th---18th. University of Antwerp.Lafuente, E., Vaillant, Y., Leiva, J.C., 2018. Sustainable and traditional product innovation without scale and experience, but only for KIBS! Sustainability 10 (4), 1169.Lafuente, E., Vaillant, Y., Vendrell-Herrero, F., 2017. Territorial servitization: exploring the virtuous circle connecting knowledge-intensive services and new manufacturing businesses. Int. J. Prod. Econ. 192, 19---28.Lazear, E.P., 2004. Balanced skills and entrepreneurship. Am. Econ. Rev. 94 (2), 208---211.Lederer, M., Schott, P., Huber, S., Kurz, M., 2013. Strategic business process analysis: a procedure model to align business strategy with business process analysis methods. In: S-BPM ONE-Running Processes. Springer, Berlin Heidelberg, pp. 247---263.Liu, W.B., Zhang, D.Q., Meng, W., Li, X.X., Xu, F., 2011. A study of DEA models without explicit inputs. Omega 39, 472---480.Lo, S.-F., 2010. The differing capabilities to respond to the challenge of climate change across annex parties under the Kyoto protocol. Environ. Sci. Policy 13, 42---54.Lovell, C.A.K., Pastor, J.T., 1999. Radial DEA models without inputs or without outputs. Eur. J. Oper. Res. 188 (1), 46---51.Lovell, C.A.K., Pastor, J.T., Turner, J.A., 1995. Measuring macroeconomic performance in the OECD: a comparison of European and non-European countries. Eur. J. Oper. Res. 87, 507---518.Man, T.W.Y., Lau, T., Chan, K.F., 2002. The competitiveness of small and medium enterprises: a conceptualization with focus on entrepreneurial competencies. J. Bus. Venturing 17, 123---142. Please cite this article in press as: Lafuente, E., et al., A non-parametric analysis of competitiveness efficiency: The relevance of firm size and the configuration of competitive pillars. BRQ Bus. Res. Q. 2019 , https://doi.org/10.1016/j.brq.2019.02.002Miller, D., 1986. Configurations of strategy and structure: towards a synthesis. Strategic Manage. J. 7, 233---249.Miller, D., 1996. Configurations revisited. Strategic Manage. J. 17, 505---512.Miller, D., Whitney, J.O., 1999. Beyond strategy: configuration as a pillar of competitive advantage. Bus. Horiz., 5---17, May-June.Mizobuchi, H., 2014. Measuring world better life frontier: a composite indicator for OECD better life index. Soc. Indic. Res. 118, 987---1007.Newbert, S., 2007. Empirical research on the resource-based view of the firm: an assessment and suggestions for future research. Strategic Manage. J. 28 (2), 121---146.Newbert, S., 2008. Value, rareness, competitive advantage, and performance: a conceptual-level empirical investigation of the resource-based view of the firm. Strategic Manage. J. 29 (7), 745---768.Nunnally, J.C., Bernstein, I.H., 1994. Psychometric Theory. McGrawHill, New York.O’Cass, A., Weerawardena, J., 2010. The effects of perceived industry competitive intensity and marketing-related capabilities: drivers of superior brand performance. Ind. Market. Manage. 39 (4), 571---581.Odeck, J., 2006. Identifying traffic safety best practice: an application of DEA and Malmquist indices. Omega 34, 28---40.Opresnik, D., Taisch, M., 2015. The value of big data in servitization. Int. J. Prod. Econ. 165, 174---184.Prahalad, C.K., Hamel, G., 1990. The core competence of the corporation. Harv. Bus. Rev. 68 (May---June), 79---91.Priem, R., Butler, J., 2001. Is the resource-based ‘view’ a useful perspective for strategic management research? Acad. Manage. Rev. 26, 22---40.Robinson, C.V., Simmons, J.E., 2018. Organising environmental scanning: exploring information source, mode and the impact of firm size. Long Range Plann. 51 (4), 526---539 (in press).Sirmon, D.G., Hitt, M.A., Arregle, J.L., Campbell, J.T., 2010. The dynamic interplay of capability strengths and weaknesses: investigating the bases of temporary competitive advantage. Strategic Manage. J. 31 (13), 1386---1409.Soares de Mello, J.C.C.B., Angulo-Meza, L., Branco da Silva, B.P., 2009. A ranking for the Olympic games with unitary input DEA models. IMA J. Manage. Math. 20, 201---211.Tarabusi, E.C., Guarini, G., 2013. An unbalance adjustment method for development indicators. Soc. Indic. Res. 112 (1), 19---45.Wernerfelt, B., 1984. A resource-based view of the firm. Strategic Manage. J. 5 (2), 171---180.West, G.P., De Castro, J., 2001. The Achilles heel of firm strategy: resource weakness and distinctive inadequacies. J. Manage. Stud. 38 (3), 417---442.PublicationORIGINALA non-parametric analysis of competitivenessefficiency. 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