IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i11p6735-d828764.html
   My bibliography  Save this article

Conditions Influencing Salary of the Automotive Industry in Mexico City—A Linguistic Fuzzy-Set Approach

Author

Listed:
  • Carmen Lozano

    (Dirección de Investigación, Universidad La Salle México, Mexico City 06140, Mexico)

  • Cesaire Chiatchoua

    (Escuela Superior de Economía, Instituto Politécnico Nacional, Mexico City 11340, Mexico)

Abstract

Decision making in wages is generally a hard task. The aim of this work is to identify government conditions, personal conditions of the businessperson, and organizational circumstances that affect wage levels in the automotive industry in Mexico City using a linguistic fuzzy-set approach. We conducted a questionnaire, consisting of 23 observation variables with a five-point Likert scale. Independent variables were measured from 1 (“not important”) to 5 (“very important”). Based on the literature review and results of interviews, a total of 169 questionnaires were sent to participants using Google Forms. The results of the linguistic fuzzy-set approach identify three main conditions influencing the salary levels in the automotive industry in Mexico City, including unskilled manpower, the neoliberal economic model, and political and trade reforms. On the other hand, organizational conditions are not considered relevant in determining wage levels. Based on the findings, some recommendations have been proposed to help government, firm leaders, and businesspeople design appropriate personnel policies to achieve better salary satisfaction for employees in the future. This work shows a model based on the fuzzy-set approach that is a potential tool to overcome the difficulties posed by a complex environment.

Suggested Citation

  • Carmen Lozano & Cesaire Chiatchoua, 2022. "Conditions Influencing Salary of the Automotive Industry in Mexico City—A Linguistic Fuzzy-Set Approach," Sustainability, MDPI, vol. 14(11), pages 1-22, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:11:p:6735-:d:828764
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/11/6735/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/11/6735/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    2. Fernando Martins & M. Druant, 2009. "How are Firms’ Wages and Prices Linked: Survey Evidence in Europe," Working Papers w200918, Banco de Portugal, Economics and Research Department.
    3. Paul L. Joskow & Nancy L. Rose & Catherine Wolfram, 1996. "Political Constraints on Executive Compensation: Evidence from the Electric Utility Industry," RAND Journal of Economics, The RAND Corporation, vol. 27(1), pages 165-182, Spring.
    4. William F Ford & Travis Minor & Mark F Owens, 2012. "State Minimum Wage Differences: Economic Factors or Political Inclinations?," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 47(1), pages 57-67, January.
    5. Gary S. Becker, 1964. "Human Capital: A Theoretical and Empirical Analysis with Special Reference to Education, First Edition," NBER Books, National Bureau of Economic Research, Inc, number beck-5.
    6. John W. Lopresti & Kevin J. Mumford, 2016. "Who Benefits from a Minimum Wage Increase?," ILR Review, Cornell University, ILR School, vol. 69(5), pages 1171-1190, October.
    7. Noria, Gabriela López, 2015. "The effect of trade and FDI on inter-industry wage differentials: The case of Mexico," The North American Journal of Economics and Finance, Elsevier, vol. 34(C), pages 381-397.
    8. Mazurek, Jirí & Pérez Rico, Cristina & Fernández, Carlos & Magnot, Jean-Pierre & Magnot, Tristan, 2021. "The 5-Item Likert Scale and Percentage Scale Correspondence with Implications for the Use of Models with (Fuzzy) Linguistic Variables || Análisis en componentes principales de los estados financieros," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 31(1), pages 3-16, June.
    9. Ana María Iregui & Ligia Alba Melo & María Teresa Ramírez, 2010. "Incrementos y rigideces de los salarios en Colombia: Un estudio a partir de una encuesta," Revista de Economía del Rosario, Universidad del Rosario.
    10. Michelle Lalla & Gisella Facchinetti & Giovanni Mastroleo, 2005. "Ordinal scales and fuzzy set systems to measure agreement: An application to the evaluation of teaching activity," Quality & Quantity: International Journal of Methodology, Springer, vol. 38(5), pages 577-601, January.
    11. Dean,Adam, 2016. "From Conflict to Coalition," Cambridge Books, Cambridge University Press, number 9781107168800, November.
    12. Jiří Mazurek & Cristina Pérez Rico & Carlos Fernández García & Jean-Pierre Magnot & Tristan Magnot, 2021. "The 5-Item Likert Scale and Percentage Scale Correspondence with Implications for the Use of Models with (Fuzzy) Linguistic Variables," Post-Print hal-03194889, HAL.
    13. Bernard Fingleton, 2003. "Increasing returns: evidence from local wage rates in Great Britain," Oxford Economic Papers, Oxford University Press, vol. 55(4), pages 716-739, October.
    14. Julián Duran Peralta, 2005. "Determinantes del salario de reserva en el mercado laboral de Cali en el ano 2004 (2005)," Documentos de Trabajo 4112, Universidad del Valle, CIDSE.
    15. Juan Antonio Morente-Molinera & Francisco Javier Cabrerizo & Sergio Alonso & Ignacio Javier Pérez & Enrique Herrera-Viedma, 2020. "Assisting Users in Decisions Using Fuzzy Ontologies: Application in the Wine Market," Mathematics, MDPI, vol. 8(10), pages 1-18, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ana Iregui & Ligia Melo & María Ramírez, 2012. "Wage Adjustment Practices and the Link between Price and Wages: Survey Evidence from Colombian Firms," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 76, pages 17-53.
    2. Donata Marasini & Piero Quatto & Enrico Ripamonti, 2016. "Intuitionistic fuzzy sets in questionnaire analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(2), pages 767-790, March.
    3. Vuciterna, Rina & Thomsen, Michael & Popp, Jennie & Musliu, Arben, 2017. "Efficiency and Competitiveness of Kosovo Raspberry Producers," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252770, Southern Agricultural Economics Association.
    4. Collan, Mikael, 2008. "New Method for Real Option Valuation Using Fuzzy Numbers," Working Papers 466, IAMSR, Åbo Akademi.
    5. Sagarika Dey & Priyanka Devi, 2019. "Impact of TVET on Labour Market Outcomes and Women’s Empowerment in Rural Areas: A Case Study from Cachar District, Assam," Indian Journal of Human Development, , vol. 13(3), pages 357-371, December.
    6. David Amirault & Paul Fenton & Thérèse Laflèche, 2013. "Asking About Wages: Results from the Bank of Canada’s Wage Setting Survey of Canadian Companies," Discussion Papers 13-1, Bank of Canada.
    7. Schawlowski Dan Michael, 2025. "The Correlation between Employee Benefits and Financial Performance: A Bibliometric Analysis," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 19(1), pages 294-303.
    8. Wenyao Niu & Yuan Rong & Liying Yu & Lu Huang, 2022. "A Novel Hybrid Group Decision Making Approach Based on EDAS and Regret Theory under a Fermatean Cubic Fuzzy Environment," Mathematics, MDPI, vol. 10(17), pages 1-30, August.
    9. de Andres-Sanchez, Jorge, 2007. "Claim reserving with fuzzy regression and Taylor's geometric separation method," Insurance: Mathematics and Economics, Elsevier, vol. 40(1), pages 145-163, January.
    10. Reizer, Balázs, 2022. "Employment and Wage Consequences of Flexible Wage Components," Labour Economics, Elsevier, vol. 78(C).
    11. Mikhailov, L., 2004. "A fuzzy approach to deriving priorities from interval pairwise comparison judgements," European Journal of Operational Research, Elsevier, vol. 159(3), pages 687-704, December.
    12. Javier Andres & Oscar Arce & Jesus Fernandez-Villaverde & Samuel Hurtado, 2022. "Deciphering the Macroeconomic Effects of Internal Devaluations in a Monetary Union," International Journal of Central Banking, International Journal of Central Banking, vol. 18(5), pages 1-47, December.
    13. Hongyi Sun & Bingqian Zhang & Wenbin Ni, 2022. "A Hybrid Model Based on SEM and Fuzzy TOPSIS for Supplier Selection," Mathematics, MDPI, vol. 10(19), pages 1-19, September.
    14. Marydas, Sneha & Mathew, Nanditha & De Marzo, Giordano & Pietrobelli, Carlo, 2025. "Digital Technologies, Hiring, Training, and Firm Outcomes," MERIT Working Papers 2025-004, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    15. Jimu Tafadzwa & Nhorito Shadreck, 2025. "Do University Rankings Influence Career Outcomes in the Accounting and Auditing Profession?," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(5), pages 2627-2643, May.
    16. Vito Peragine & Laura Serlenga, 2008. "Higher education and equality of opportunity in Italy," Research on Economic Inequality, in: Inequality and Opportunity: Papers from the Second ECINEQ Society Meeting, pages 67-97, Emerald Group Publishing Limited.
    17. Raj Aggarwal & Krisztina 'Z' Holly & Vivek Wadhwa, 2013. "Health Insurance Availability And Entrepreneurship," Journal of Developmental Entrepreneurship (JDE), World Scientific Publishing Co. Pte. Ltd., vol. 18(04), pages 1-21.
    18. Liu, Yong-Jun & Zhang, Wei-Guo, 2015. "A multi-period fuzzy portfolio optimization model with minimum transaction lots," European Journal of Operational Research, Elsevier, vol. 242(3), pages 933-941.
    19. Anakwuba Blessing Winny & Uju Regina Ezenekwe, 2024. "Prioritizing and Re-orienting Vocational Education for Sustainable Development in Nigeria," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(15), pages 141-150, November.
    20. Sakawa, Masatoshi & Kato, Kosuke, 1998. "An interactive fuzzy satisficing method for structured multiobjective linear fractional programs with fuzzy numbers," European Journal of Operational Research, Elsevier, vol. 107(3), pages 575-589, June.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:11:p:6735-:d:828764. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.