Análisis comparativo de factores de productividad entre Japón y México para impulsar la Industria Automotriz Mexicana

Loraine Gastell-Piloto; Jesús Gerardo  Cruz-Álvarez

doi:10.29105/vtga6.2-566

Autores/as

Loraine Gastell-Piloto Universidad Autónoma de Nuevo León
Jesús Gerardo Cruz-Álvarez Universidad Autónoma de Nuevo León

DOI:

https://doi.org/10.29105/vtga6.2-566

Palabras clave:

Productividad, automotriz, factores

Resumen

En la actualidad existen 10 países líderes de la industria automotriz a nivel mundial las cuales producen 75.2 millones de vehículos automotores, esto representa el 78,68% del total. Los países que se encuentran en los primeros 5 países que lideran el top de los mayores productores automotrices a nivel mundial son China, Estados Unidos, Japón, India y Alemania. La industria automotriz fabrica 95.6 millones de vehículos automotores. La producción de México ha aumentado en un 152% del año 1999 al 2018. En los últimos 11 años México ha formado parte del grupo élite de los primeros 10 países productores automotrices a nivel mundial y aunque ha avanzado posiciones en la tabla de productores mundiales logró llegar al número 6, pero no ha logrado colocarse entre los primeros 5. Esta investigación estará dirigida a realizar una comparación entre factores de productividad relevantes de Japón y México.

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Adrian, J. J. (1987). Construction productivity improvement. New York et Al.: Elsevier.

Allmon, E., Haas, C. T., & Borcherding, J. D. Goodrum, P. M. (2000). US construction labor productivity trends, 1970–1998. Journal of Construction Engineering and Management, 126(2), 97–104. DOI: https://doi.org/10.1061/(ASCE)0733-9364(2000)126:2(97)

Alvarez, R., Bravo-Ortega, C., & Zahler, A. (2015). Innovation and Productivity in Services: Evidence from Chile. Emerging Markets Finance and Trade, 51(3), 593–611. DOI: https://doi.org/10.1080/1540496X.2015.1026696

Andersson, U., Dasí, Á., Mudambi, R., & Pedersen, T. (2016). Technology, innovation and knowledge: The importance of ideas and international connectivity. Journal of World Business, 51(1), 153–162. DOI: https://doi.org/10.1016/j.jwb.2015.08.017

Arditi, D., & Mochtar, K. ". (2000). Trends in productivity improvement in the US construction industry. Construction Management & Economics, 18(1), 15–27. DOI: https://doi.org/10.1080/014461900370915

Baines, D., Bates, I., Bader, L., Hale, C., & Schneider, P. (2018). Conceptualising production, productivity and technology in pharmacy practice: a novel framework for policy, education and research. Human Resources for Health, 16(1), 51. DOI: https://doi.org/10.1186/s12960-018-0317-5

Bender, S., Bloom, N., Card, D., Van Reenen, J., & Wolter, S. (2018). Management Practices, Workforce Selection, and Productivity. Journal of Labor Economics, 36(S1), S371–S409. DOI: https://doi.org/10.1086/694107

Birdi, K., Clegg, C., Patterson, M., Robinson, A., Stride, C. B., Wall, T. D., & Wood, S. J. (2008). The impact of human resource and operational management practices on company productivity: A longitudinal study. Personnel Psychology, 61(3), 467–501. https://doi.org/10.1111/j.1744-6570.2008.00136.x DOI: https://doi.org/10.1111/j.1744-6570.2008.00136.x

Bontis, N. (1998). Intellectual capital: an exploratory study that develops measures and models. Management Decision, 36(2), 63–76. DOI: https://doi.org/10.1108/00251749810204142

Chadwick, C., Way, S. A., Kerr, G., & Thacker, J. W. (2013). Boundary Conditions of the HighInvestment Human Resource Systems-Small-Firm Labor Productivity Relationship. Personnel Psychology, 66(2), 311–343. https://doi.org/10.1111/peps.12015 DOI: https://doi.org/10.1111/peps.12015

Chandra, C., Everson, M., & Grabis, J. (2005). Evaluation of enterprise-level benefits of manufacturing flexibility. Omega, 33(1), 17–31. DOI: https://doi.org/10.1016/j.omega.2004.03.004

Crowley, F., & Mccann, P. (2014). Innovation and Productivity in Irish Firms. Spatial Economic Analysis. DOI: https://doi.org/10.1080/17421772.2015.1023340

Datta, D. K., Guthrie, J. P., & Wright, P. M. (2005). Human resource management and labor productivity: Does industry matter? Academy of Management Journal, 48(1), 135–145. https://doi.org/10.5465/AMJ.2005.15993158 DOI: https://doi.org/10.5465/amj.2005.15993158

Dengiz, B., Iç, Y. T., & Belgin, O. (2015). A meta-model based simulation optimization using hybrid simulation-analytical modeling to increase the productivity in automotive industry. Mathematics and Computers in Simulation, 120, 120–128. https://doi.org/10.1016/j.matcom.2015.07.005 DOI: https://doi.org/10.1016/j.matcom.2015.07.005

El-Gohary, K. M., & Aziz, R. F. (2013). Factors influencing construction labor productivity in Egypt. Journal of Management in Engineering, 30(1), 1–9. DOI: https://doi.org/10.1061/(ASCE)ME.1943-5479.0000168

Finke, M. R. (1998). A better way to estimate and mitigate disruption. Journal of Construction Engineering and Management, 124(6), 490–497. DOI: https://doi.org/10.1061/(ASCE)0733-9364(1998)124:6(490)

Fu, X., Mohnen, P., & Zanello, G. (2018). Innovation and productivity in formal and informal firms in Ghana. Technological Forecasting and Social Change, 131, 315–325. DOI: https://doi.org/10.1016/j.techfore.2017.08.009

Fuentes, A., & Pipkin, S. (2019). Neither synthesis nor rivalry: Complementary policy models and technological learning in the Mexican and Brazilian petroleum and automotive industries. Business and Politics, 21(1), 113–144. DOI: https://doi.org/10.1017/bap.2018.23

Gamal, M., & Mohamed, S. (2012). Factors influencing perceived productivity of Egyptian teleworkers: An empirical study. Measuring Business Excellence, 16(2), 3–22. https://doi.org/10.1108/13683041211230285 DOI: https://doi.org/10.1108/13683041211230285

Ganesan, S. (1984). Construction productivity. Habitat International, 8(3–4), 29–42. DOI: https://doi.org/10.1016/0197-3975(84)90041-9

Hallgren, M., & Olhager, J. (2009). Flexibility configurations: Empirical analysis of volume and 1280 product mix flexibility. Omega, 37(4), 746–756. DOI: https://doi.org/10.1016/j.omega.2008.07.004

Handa, V. K., & Abdalla, O. (1989). Forecasting productivity by work sampling. Construction Management and Economics, 7(1), 19–28. DOI: https://doi.org/10.1080/01446198900000003

Horner, M., & Duff, R. (2001). A Contractor‟ s Guide To Improving Productivity in Construction. CIRIA, London.

Ishida, S; Magnusson, M & Nagahira, A (2017). Factors influencing Japanese auto suppliers’ predictions about the future of new technologies – An exploratory study of electric vehicles. Futures, 89, 38-59. DOI: https://doi.org/10.1016/j.futures.2017.03.009

Jha, S., & Bag, D. (2019). The service sector: migration, technology and productivity. International Journal of Sociology and Social Policy, 39(1/2), 2–21. DOI: https://doi.org/10.1108/IJSSP-10-2017-0141

Katou, A. A., & Budhwar, P. (2015). Human resource management and organisational productivity: A systems approach based empirical analysis. Journal of Organizational Effectiveness, 2(3), 244–266. https://doi.org/10.1108/JOEPP-06-2015-0021 DOI: https://doi.org/10.1108/JOEPP-06-2015-0021

Koch, M., & Mcgrath, R. G. (1996). I- RESOURCE MANAGEMENT POLICIES DO MAlTER. Management, 17(January 1994), 335–354. DOI: https://doi.org/10.1002/(SICI)1097-0266(199605)17:5<335::AID-SMJ814>3.0.CO;2-R

Kogan, L., Papanikolaou, D., Seru, A., & Stoffman, N. (2017). Technological innovation, resource allocation, and growth. Quarterly Journal of Economics, 132(2), 665–712. DOI: https://doi.org/10.1093/qje/qjw040

Krasova, E. (2018). Characteristics of global automotive industry as a sector with high levels of production internationalization. Amazonia Investiga, 7(16), 84–93.

Läpple, D., Renwick, A., & Thorne, F. (2015). Measuring and understanding the drivers of agricultural innovation: Evidence from Ireland. Food Policy, 51, 1–8. DOI: https://doi.org/10.1016/j.foodpol.2014.11.003

Lee, C., & Leem, C. (2016). An empirical analysis of issues and trends in manufacturing productivity through a 30-year literature review. South African Journal of Industrial Engineering, 27(2), 147–159. DOI: https://doi.org/10.7166/27-2-1363

Mitra, S. (2019). Depletion, technology, and productivity growth in the metallic minerals industry. Mineral Economics, 32(1), 19–37. https://doi.org/10.1007/s13563-018-0165-8 DOI: https://doi.org/10.1007/s13563-018-0165-8

Morris, D. M. (2018). Innovation and productivity among heterogeneous firms. Research Policy, 47(10), 1918–1932. DOI: https://doi.org/10.1016/j.respol.2018.07.003

OICA. (2018). International Organization of Motor Vehicle Manufacturers.

OICA. (2019). International Organization of Motor Vehicle Manufacturers.

Peles, C. J. (1987). Productivity analysis–a case study. Transaction of the American Association of Cost Engineers, 31st Annual Meeting, Atlanta.

Phusavat, K., Jaiwong, P., Sujitwanich, S., & Kanchana, R. (2009). Industrial Management & Data Systems Article information :

Quigley, J., Walls, L., Demirel, G., MacCarthy, B. L., & Parsa, M. (2018). Supplier quality improvement: The value of information under uncertainty. European Journal of Operational Research, 264(3), 932–947. DOI: https://doi.org/10.1016/j.ejor.2017.05.044

Quintero, C., & Marinaro, P. (2019). The remaking of the Mexican labor movement in the automotive industry. Journal of Labor and Society, 22(1). DOI: https://doi.org/10.1111/wusa.12413

Quintero, R. (2015). Cinco Décadas de Empleo Maquilador: De Fuente Laboral Femenína a Empleo Regional. Congreso Medio Siglo de Maquiladora:¿ Qué Nos Ha Dejado, Hacia Donde Vamos.".

Ruiz, C. (2015). Internal and external sources of capacity building in the Mexican auto-parts industry. A University of Sussex.

Sánchez, A. M., Pérez, M. P., De Luis Carnicer, P., & Jiménez, M. J. V. (2007). Teleworking and workplace flexibility: A study of impact on firm performance. Personnel Review, 36(1), 4264. https://doi.org/10.1108/00483480710716713 DOI: https://doi.org/10.1108/00483480710716713

Topp, V., Soames, L., Parham, D., & Bloch, H. (2008). Productivity in the Mining Industry: Measurement and Interpretation.

Uluskan, M., Joines, J. A., & Godfrey, A. B. (2016). Comprehensive insight into supplier quality and the impact of quality strategies of suppliers on outsourcing decisions. Supply Chain 1281 Management: An International Journal, 21(1), 92–102. DOI: https://doi.org/10.1108/SCM-04-2015-0140

Wang, Wen, & Heyes, J. (2017). Flexibility, labour retention and productivity in the EU. International Journal of Human Resource Management, 5192(January), 1–21. https://doi.org/10.1080/09585192.2016.1277370 DOI: https://doi.org/10.1080/09585192.2016.1277370

Yaduma, N., Lockwood, A. J., & Williams, A. (2013). Demand Fluctuations, Labour Flexibility and Productivity. Journal of Chemical Information and Modeling, 53(9), 1689–1699. https://doi.org/10.1017/CBO9781107415324.004 DOI: https://doi.org/10.1017/CBO9781107415324.004

Yamamura, E., & Shin, I. (2007). Technological change and catch-up and capital deepening: Relative contributions to growth and convergence: Comment. Economics Bulletin, 15(3).

Yu, O. (2018). Innovation and Its Importance and Recent Popularity. IEEE Engineering Management Review, 46(1), 27–28 DOI: https://doi.org/10.1109/EMR.2018.2809920