Selección de tecnología empresarial: una revisión desde literatura
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ISSN: 1680-8894
E-ISSN: 2219-6714
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Esta obra está bajo licencia internacional Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0.
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Enviado:
Dec 14, 2018
Publicado: Dec 14, 2018
Publicado: Dec 14, 2018
Resumen
La selección de tecnologías es un tópico que se articula con el área de la ingeniería llamada gestión o administración tecnológica, cuya finalidad es estudiar y proponer las mejores prácticas de selección de bienes tecnológicos bajo criterios que optimicen los recursos empresariales, por lo que el objetivo principal de este artículo es realizar una revisión de literatura sobre los métodos de selección de tecnología, enumerando los más conocidos y ejemplificando algunos de estos, donde se presente su eficacia. La metodología utilizada en esta búsqueda fue una revisión en diferentes bases de datos con el fin de recopilar casos de estudio y de éxito, así como fusión entre diferentes métodos y puntos de vista. Dicha revisión y la búsqueda permitieron recopilar y clasificar estos métodos, no obstante, ningún método es infalible o indispensable, ya que siempre hará falta la experiencia del análisis heurístico
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Cómo citar
Uribe Gómez, J. (2018). Selección de tecnología empresarial: una revisión desde literatura. I+D Tecnológico, 14(2), 38-48. https://doi.org/10.33412/idt.v14.2.2072
Citas
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(3) R. Phaal, C. J. P. Farrukh, and D. R. Probert, “Technology management tools: Concept, development and application,” Technovation, vol. 26, no. 3, pp. 336–344, 2006.
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(15) R. Hallman et al., “Standardized and Repeatable Technology Evaluation for Cybersecurity Acquisition,” no. May. San Diego, p. 28, 2017.
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(20) H. Shengbin and W. Weiwei, “The Impact of Technology Selection on Innovation Performance,” pp. 5781–5783, 2007.
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(22) W. Yan-ling, “Research on Technology Selection for Enterprises with Tools of Patent Analysis,” no. 1, pp. 1651– 1657, 2012.
(23) A. Erfani, R. Ghasempour, and H. Oraee, “Issues in the Technology Selection for a Wind Farm in Iran,” J. energy Manag. Technol., pp. 71–78, 2017.
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(25) M. Safdari, I. Mahdavi, and N. Cho, “Selecting technology acquisition strategy through applying PROMETHEE method: and industrial automation,” in 13th Internation conference on industrial engineering, 2017, no. June, p. 11.
(26) D. R. Georgiadis, T. A. Mazzuchi, and S. Sarkani, “Using Multi Criteria Decision Making in Analysis of Alternatives for Selection of Enabling Technology,” vol. 16, no. 3, pp. 287–303, 2012.
(27) D. Petrovic, I. Cvetkovic, M. Kankaras, and N. Kapor, “Objective Technology Selection Model: The Example of Complex Combat Systems,” J. Sci. Eng. Res., vol. 8, no. 3, pp. 105–114, 2017.
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(29) R. Farzipoor Saen, “Technology selection in the presence of imprecise data, weight restrictions, and nondiscretionary factors,” Int. J. Adv. Manuf. Technol., vol. 41, no. 7–8, pp. 827–838, May 2008.
(30) G. R. Amin and A. Emrouznejad, “A new DEA model for technology selection in the presence of ordinal data,” Int. J. Adv. Manuf. Technol., vol. 65, no. 9–12, pp. 1567–1572, Jun. 2012.
(31) M. Khouja, “The use of data envelopment analysis for technology selection,” Comput. Ind. Eng., vol. 28, no. 1, pp. 123–132, 1995.
(32) E. Vol and R. C. Baker, “A closer look at use of data envelopment analysis for technology selection,” Chem. Enginnering, vol. 32, no. 1, pp. 101–108, 1997.
(33) W. Ho, X. Xu, and P. K. Dey, “Multi-criteria decision making approaches for supplier evaluation and selection: A literature review,” Eur. J. Oper. Res., vol. 202, no. 1, pp. 16– 24, 2010.
(34) L. De Boer, E. Labro, and P. Morlacchi, “A review of methods supporting supplier selection,” Eur. J. Purch. Supply Manag., vol. 7, no. 2, pp. 75–89, 2001.
(35) A. Friederich, T. Bernd, and L. De Witte, “Methods for the selection of assistive technology in neurological rehabilitation practice,” Scand. J. Occup. Ther., no. December 2008, pp. 308–318, 2014.
(36) M. Mouâd and L. Cherkaoui, “A comparison between fuzzy TOPSIS and fuzzy GRA for the vertical handover decision making,” 2017.
(37) P. Yu and J. H. Lee, “Optimal technology selection considering input levels of resource,” Ind. Manag. Data Syst., vol. 113, no. 1, pp. 57–76, 2013.
(38) J. M. J. Herps, H. H. Van Mal, J. I. M. Halman, J. H. M. Martens, and R. H. M. Borsboom, “The process of selecting technology development projects: a practical framework,” Manag. Res. News, vol. 26, no. 8, pp. 1–15, 2003.
(39) N. Shehabuddeen, D. Probert, and R. Phaal, “From theory to practice: Challenges in operationalising a technology selection framework,” Technovation, vol. 26, no. 3, pp. 324– 335, 2006.
(40) J. Odriozola, “Metodología para la gestión de la adquisición de tecnologías protegidas,” Ing. Ind., vol. XXXIV, no. 3, pp. 265–276, 2014.
(41) Y. L. Wang, “Research on technology selection for enterprises with tools of patent analysis,” Int. Conf. Manag. Sci. Eng. - Annu. Conf. Proc., no. 1, pp. 1651–1657, 2012.
(42) S. Sandoval, “La Cadena Global De Valor: Consideraciones. Desde El Ciclo Del Capital,” Probl. Desarro., vol. 46, no. 182, pp. 165–190, Jul. 2015.
(43) F. T. S. Chan, M. H. Chan, and N. K. H. Tang, “Evaluation methodologies for technology selection,” J. Mater. Process. Technol., vol. 107, no. 1–3, pp. 330–337, 2000.
(44) S. Farooq and C. O’Brien, “Risk calculations in the manufacturing technology selection process,” J. Manuf. Technol. Manag., vol. 21, no. 1, pp. 28–49, 2010.
(45) G. Cifuentes, “Local management and leadership for innovation: a critical analysis from Colombia,” in ICICTE 2017 proceedings, 2017, pp. 398–406.
(46) A. Vafadar, M. Tolouei-Rad, and K. Hayward, “Evaluation of the Effect of Product Demand Uncertainty on Manufacturing System Selection,” Procedia Manuf., vol. 11, no. June, pp. 1735–1743, 2017.
(47) M. Cochran, “Introduction of a Technology Selection Model,” Sci. York, vol. 0, pp. 1–10, 2009.
(48) J. . Forbes and T. . Marlin, “Design cost: a systematic approach to technology selection for model-based real-time optimization systems,” Chem. Enginnering, vol. 20, no. 6, pp. 717–734, 1996.
(49) F. T. S. Chan, H. K. Chan, M. H. Chan, and P. K. Humphreys, “An integrated fuzzy approach for the selection of manufacturing technologies,” Int. J. Adv. Manuf. Technol., vol. 27, no. 7–8, pp. 747–758, 2006.
(50) E. E. Karsak, “Using data envelopment analysis for evaluating flexible manufacturing systems in the presence of imprecise data,” Int. J. Adv. Manuf. Technol., vol. 35, no. 9– 10, pp. 867–874, 2008.
(51) F. F. Suarez, “Network Effects Revisited : the Role of Strong Ties in Technology Selection,” Acad. Manag. J., vol. 48, no. 4, pp. 710–720, 2005.
(52) J. Ratnasingam et al., “Innovations in the Forest Products Industry : The Malaysian Experience,” vol. 41, no. 2, pp. 601–607, 2013.
(53) L. G. Debo and B. Toktay, “Market Segmentation and Product Technology Selection for Remanufacturable Products,” vol. 51, no. 8, pp. 1193–1205, 2015.
(54) R. Folgado, P. Peças, and E. Henriques, “Life cycle cost for technology selection: A Case study in the manufacturing of injection moulds,” Int. J. Prod. Econ., vol. 128, no. 1, pp. 368–378, Nov. 2010.
(55) D. W. Boyd, R. L. Phillips, and S. G. Regulinski, “A model of technology selection by cost minimizing producers,” vol. 28, no. 4, pp. 418–424, 2015.
(56) M. I. Kamami, G. M. Ndegwa, and P. G. Home, “Fuzzy based decision support method for selection of sustainable wastewater treatment technologies,” Int J Agrie Biol Eng Open Access Int J Agrie Biol Eng, vol. 4, no. 1, pp. 41–51, 2011.
(2) N. Ahmady, E. Ahmady, and H. Sadeghi, “Technology selection in the presence of fuzzy data and dual-role actors,” Adv. Manuf. Technol., pp. 801–811, 2012.
(3) R. Phaal, C. J. P. Farrukh, and D. R. Probert, “Technology management tools: Concept, development and application,” Technovation, vol. 26, no. 3, pp. 336–344, 2006.
(4) D. Cedillos, S. Acha, N. Shah, and C. N. Markides, “A Technology Selection and Operation (TSO) optimisation model for distributed energy systems: Mathematical formulation and case study,” Appl. energy, vol. 180, pp. 491–503, 2016.
(5) D. Ma, C.-C. Chang, and S.-W. Hung, “The selection of technology for late-starters: A case study of the energy-smart photovoltaic industry,” Econ. Model., vol. 35, no. 2013, pp. 10–20, Sep. 2013.
(6) C. Loué and S. Ben Slimane, Proceedings of the 12th European Conference on Innovation and Entrepreneurship. 2017.
(7) D. Xia, B. Chen, and Z. Zheng, “Relationships among circumstance pressure, green technology selection and firm performance,” J. Clean. Prod., vol. 106, pp. 487–496, Dec. 2014.
(8) B. Wang, “Requirements Traceability Technologies Selection for Industry,” Proc. - 2016 IEEE 24th Int. Requir. Eng. Conf. RE 2016, pp. 450–455, 2016.
(9) M. Torkkeli and M. Tuominen, “The contribution of technology selection to core competencies,” Int. J. Prod. Econ., vol. 77, no. 3, pp. 271–284, 2002.
(10) E. Bravo, “Globalización , innovación tecnológica y pobreza. Aproximación a las nuevas conceptualizaciones en Latinoamérica,” vol. 21, no. 3, pp. 543–556, 2012.
(11) Y.-C. Shen, S.-H. Chang, G. T. R. Lin, and H.-C. Yu, “A hybrid selection model for emerging technology,” Technol. Forecast. Soc. Change, vol. 77, no. 1, pp. 151–166, Jan. 2010.
(12) M. Lamb and M. Gregory, “Industrial Concerns in Technology Selection,” pp. 206–208, 1997.
(13) M. Akhundzadeh and B. Shirazi, “Technology selection and evaluation in Iran’s pulp and paper industry using 2-filterd fuzzy decision making method,” J. Clean. Prod., vol. 142, pp. 3028–3043, 2017.
(14) W. E. Riddle and L. G. Williams, “Technology Selection : An Educational Approach,” no. 11, pp. 1199–1206, 1987.
(15) R. Hallman et al., “Standardized and Repeatable Technology Evaluation for Cybersecurity Acquisition,” no. May. San Diego, p. 28, 2017.
(16) K. A. Ruder, M. W. Pretorius, and B. T. Maharaj, “A technology selection framework for the telecommunications industry in developing countries,” IEEE Int. Conf. Commun., pp. 5490–5493, 2008.
(17) A. Sanayei and L. F. Monplaisir, “Integrating product life cycle issues in technology selection,” Technol. Manag. Emerg. Technol. (PICMET), 2012 Proc. PICMET ’12, pp. 1401 1407, 2012.
(18) C. Chadderton, C. M. Foran, G. Rodriguez, D. Gilbert, S. D. Cosper, and I. Linkov, “Decision support for selection of food waste technologies at military installations,” J. Clean. Prod., vol. 141, pp. 267–277, 2017.
(19) E. Oviedo, I. Dominguez, P. Torres, D. Komilis, and A. Sánchez, “Understanding biowaste composting in developing countries: lessons from Colombia.” p. 13, 2017.
(20) H. Shengbin and W. Weiwei, “The Impact of Technology Selection on Innovation Performance,” pp. 5781–5783, 2007.
(21) D. Xia, Q. Yu, Q. Gao, and G. Cheng, “Sustainable technology selection decision-making model for enterprise in supply chain: Based on a modified strategic balanced scorecard,” J. Clean. Prod., vol. 141, pp. 1337–1348, 2017.
(22) W. Yan-ling, “Research on Technology Selection for Enterprises with Tools of Patent Analysis,” no. 1, pp. 1651– 1657, 2012.
(23) A. Erfani, R. Ghasempour, and H. Oraee, “Issues in the Technology Selection for a Wind Farm in Iran,” J. energy Manag. Technol., pp. 71–78, 2017.
(24) P. Tingling and M. Parent, “An exploration of enterprise technology selection and evaluation,” J. Strateg. Inf. Syst., vol. 13, no. 4, pp. 329–354, Dec. 2004.
(25) M. Safdari, I. Mahdavi, and N. Cho, “Selecting technology acquisition strategy through applying PROMETHEE method: and industrial automation,” in 13th Internation conference on industrial engineering, 2017, no. June, p. 11.
(26) D. R. Georgiadis, T. A. Mazzuchi, and S. Sarkani, “Using Multi Criteria Decision Making in Analysis of Alternatives for Selection of Enabling Technology,” vol. 16, no. 3, pp. 287–303, 2012.
(27) D. Petrovic, I. Cvetkovic, M. Kankaras, and N. Kapor, “Objective Technology Selection Model: The Example of Complex Combat Systems,” J. Sci. Eng. Res., vol. 8, no. 3, pp. 105–114, 2017.
(28) J. Xiaofeng, J. Peng, and Y. Yun, “Understanding the complex nature of engineering technology selection: A new methodology based on systems thinking,” Syst. Eng. Procedia, vol. 4, no. 2011, pp. 196–202, 2012.
(29) R. Farzipoor Saen, “Technology selection in the presence of imprecise data, weight restrictions, and nondiscretionary factors,” Int. J. Adv. Manuf. Technol., vol. 41, no. 7–8, pp. 827–838, May 2008.
(30) G. R. Amin and A. Emrouznejad, “A new DEA model for technology selection in the presence of ordinal data,” Int. J. Adv. Manuf. Technol., vol. 65, no. 9–12, pp. 1567–1572, Jun. 2012.
(31) M. Khouja, “The use of data envelopment analysis for technology selection,” Comput. Ind. Eng., vol. 28, no. 1, pp. 123–132, 1995.
(32) E. Vol and R. C. Baker, “A closer look at use of data envelopment analysis for technology selection,” Chem. Enginnering, vol. 32, no. 1, pp. 101–108, 1997.
(33) W. Ho, X. Xu, and P. K. Dey, “Multi-criteria decision making approaches for supplier evaluation and selection: A literature review,” Eur. J. Oper. Res., vol. 202, no. 1, pp. 16– 24, 2010.
(34) L. De Boer, E. Labro, and P. Morlacchi, “A review of methods supporting supplier selection,” Eur. J. Purch. Supply Manag., vol. 7, no. 2, pp. 75–89, 2001.
(35) A. Friederich, T. Bernd, and L. De Witte, “Methods for the selection of assistive technology in neurological rehabilitation practice,” Scand. J. Occup. Ther., no. December 2008, pp. 308–318, 2014.
(36) M. Mouâd and L. Cherkaoui, “A comparison between fuzzy TOPSIS and fuzzy GRA for the vertical handover decision making,” 2017.
(37) P. Yu and J. H. Lee, “Optimal technology selection considering input levels of resource,” Ind. Manag. Data Syst., vol. 113, no. 1, pp. 57–76, 2013.
(38) J. M. J. Herps, H. H. Van Mal, J. I. M. Halman, J. H. M. Martens, and R. H. M. Borsboom, “The process of selecting technology development projects: a practical framework,” Manag. Res. News, vol. 26, no. 8, pp. 1–15, 2003.
(39) N. Shehabuddeen, D. Probert, and R. Phaal, “From theory to practice: Challenges in operationalising a technology selection framework,” Technovation, vol. 26, no. 3, pp. 324– 335, 2006.
(40) J. Odriozola, “Metodología para la gestión de la adquisición de tecnologías protegidas,” Ing. Ind., vol. XXXIV, no. 3, pp. 265–276, 2014.
(41) Y. L. Wang, “Research on technology selection for enterprises with tools of patent analysis,” Int. Conf. Manag. Sci. Eng. - Annu. Conf. Proc., no. 1, pp. 1651–1657, 2012.
(42) S. Sandoval, “La Cadena Global De Valor: Consideraciones. Desde El Ciclo Del Capital,” Probl. Desarro., vol. 46, no. 182, pp. 165–190, Jul. 2015.
(43) F. T. S. Chan, M. H. Chan, and N. K. H. Tang, “Evaluation methodologies for technology selection,” J. Mater. Process. Technol., vol. 107, no. 1–3, pp. 330–337, 2000.
(44) S. Farooq and C. O’Brien, “Risk calculations in the manufacturing technology selection process,” J. Manuf. Technol. Manag., vol. 21, no. 1, pp. 28–49, 2010.
(45) G. Cifuentes, “Local management and leadership for innovation: a critical analysis from Colombia,” in ICICTE 2017 proceedings, 2017, pp. 398–406.
(46) A. Vafadar, M. Tolouei-Rad, and K. Hayward, “Evaluation of the Effect of Product Demand Uncertainty on Manufacturing System Selection,” Procedia Manuf., vol. 11, no. June, pp. 1735–1743, 2017.
(47) M. Cochran, “Introduction of a Technology Selection Model,” Sci. York, vol. 0, pp. 1–10, 2009.
(48) J. . Forbes and T. . Marlin, “Design cost: a systematic approach to technology selection for model-based real-time optimization systems,” Chem. Enginnering, vol. 20, no. 6, pp. 717–734, 1996.
(49) F. T. S. Chan, H. K. Chan, M. H. Chan, and P. K. Humphreys, “An integrated fuzzy approach for the selection of manufacturing technologies,” Int. J. Adv. Manuf. Technol., vol. 27, no. 7–8, pp. 747–758, 2006.
(50) E. E. Karsak, “Using data envelopment analysis for evaluating flexible manufacturing systems in the presence of imprecise data,” Int. J. Adv. Manuf. Technol., vol. 35, no. 9– 10, pp. 867–874, 2008.
(51) F. F. Suarez, “Network Effects Revisited : the Role of Strong Ties in Technology Selection,” Acad. Manag. J., vol. 48, no. 4, pp. 710–720, 2005.
(52) J. Ratnasingam et al., “Innovations in the Forest Products Industry : The Malaysian Experience,” vol. 41, no. 2, pp. 601–607, 2013.
(53) L. G. Debo and B. Toktay, “Market Segmentation and Product Technology Selection for Remanufacturable Products,” vol. 51, no. 8, pp. 1193–1205, 2015.
(54) R. Folgado, P. Peças, and E. Henriques, “Life cycle cost for technology selection: A Case study in the manufacturing of injection moulds,” Int. J. Prod. Econ., vol. 128, no. 1, pp. 368–378, Nov. 2010.
(55) D. W. Boyd, R. L. Phillips, and S. G. Regulinski, “A model of technology selection by cost minimizing producers,” vol. 28, no. 4, pp. 418–424, 2015.
(56) M. I. Kamami, G. M. Ndegwa, and P. G. Home, “Fuzzy based decision support method for selection of sustainable wastewater treatment technologies,” Int J Agrie Biol Eng Open Access Int J Agrie Biol Eng, vol. 4, no. 1, pp. 41–51, 2011.