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A multiobjective interval programming model to explore the trade-offs among different aspects of job satisfaction under different scenarios


  • Henriques, C.O.
  • Luque, M.
  • Marcenaro-Gutierrez, O.D.
  • Lopez-Agudo, L.A.


The need for greater concern about job quality/satisfaction seems clear, due to its potential link with workers' productivity, to the extent it affects employees' quitting behaviour, absenteeism, turnover, and firms' productivity. In order to guide managers and policy makers when making decisions related to future hiring of human resources, a multiobjective interval programming model, based on the results of an econometric estimation, is suggested where different (and conflicting) aspects of job satisfaction are considered. The modelling framework thus obtained allows assessing the trade-offs among the different aspects of job satisfaction under different scenarios herein given within interval ranges. Data obtained from Spain are used to carry out the model's instantiation. Possibly efficient solutions are then generated with the help of scalarizing problems relying on reference point-based methods. The solution approach herein proposed allows computing with a lower computational effort the closest “possibly” efficient solutions attainable regarding their corresponding interval ideal solutions. Overall, the results obtained highlight the trade-off between earnings and quality of life, particularly under a pessimistic scenario, with the maximization of earnings leading to the lowest value of the working times. Conversely, the lowest value obtainable for earnings is reached with the consideration of both scenarios when the maximization of the satisfaction of the quality of life seekers is attained. Finally, the trade-off between less prone to risk workers and quality of life seekers is also revealed, with the lowest job security levels found in the solution that maximizes working times.

Suggested Citation

  • Henriques, C.O. & Luque, M. & Marcenaro-Gutierrez, O.D. & Lopez-Agudo, L.A., 2019. "A multiobjective interval programming model to explore the trade-offs among different aspects of job satisfaction under different scenarios," Socio-Economic Planning Sciences, Elsevier, vol. 66(C), pages 35-46.
  • Handle: RePEc:eee:soceps:v:66:y:2019:i:c:p:35-46
    DOI: 10.1016/j.seps.2018.07.004

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    References listed on IDEAS

    1. Freeman, Richard B, 1978. "Job Satisfaction as an Economic Variable," American Economic Review, American Economic Association, vol. 68(2), pages 135-141, May.
    2. Petri Böckerman & Pekka Ilmakunnas, 2012. "The Job Satisfaction-Productivity Nexus: A Study Using Matched Survey and Register Data," ILR Review, Cornell University, ILR School, vol. 65(2), pages 244-262, April.
    3. J W Chinneck & K Ramadan, 2000. "Linear programming with interval coefficients," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(2), pages 209-220, February.
    4. Green, Francis, 2010. "Well-being, job satisfaction and labour mobility," Labour Economics, Elsevier, vol. 17(6), pages 897-903, December.
    5. Pérez-Galarce, Francisco & Canales, Linda J. & Vergara, Claudio & Candia-Véjar, Alfredo, 2017. "An optimization model for the location of disaster refuges," Socio-Economic Planning Sciences, Elsevier, vol. 59(C), pages 56-66.
    6. Kai Liu, 2016. "Explaining the gender wage gap: Estimates from a dynamic model of job changes and hours changes," Quantitative Economics, Econometric Society, vol. 7(2), pages 411-447, July.
    7. Andrew E. Clark & Ed Diener & Yannis Georgellis & Richard E. Lucas, 2008. "Lags And Leads in Life Satisfaction: a Test of the Baseline Hypothesis," Economic Journal, Royal Economic Society, vol. 118(529), pages 222-243, June.
    8. Gabriel, Steven A. & Kumar, Satheesh & Ordonez, Javier & Nasserian, Amirali, 2006. "A multiobjective optimization model for project selection with probabilistic considerations," Socio-Economic Planning Sciences, Elsevier, vol. 40(4), pages 297-313, December.
    9. Clark, Andrew E. & Oswald, Andrew J., 1996. "Satisfaction and comparison income," Journal of Public Economics, Elsevier, vol. 61(3), pages 359-381, September.
    10. Inuiguchi, Masahiro & Kume, Yasufumi, 1991. "Goal programming problems with interval coefficients and target intervals," European Journal of Operational Research, Elsevier, vol. 52(3), pages 345-360, June.
    11. Marcenaro-Gutierrez, O.D. & Luque, M. & Ruiz, F., 2010. "An application of multiobjective programming to the study of workers' satisfaction in the Spanish labour market," European Journal of Operational Research, Elsevier, vol. 203(2), pages 430-443, June.
    12. S. Rivaz & M. A. Yaghoobi & M. Hladík, 2016. "Using modified maximum regret for finding a necessarily efficient solution in an interval MOLP problem," Fuzzy Optimization and Decision Making, Springer, vol. 15(3), pages 237-253, September.
    13. Powdthavee, Nattavudh & Lekfuangfu, Warn N. & Wooden, Mark, 2015. "What's the good of education on our overall quality of life? A simultaneous equation model of education and life satisfaction for Australia," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 54(C), pages 10-21.
    14. S. Rivaz & M. Yaghoobi, 2013. "Minimax regret solution to multiobjective linear programming problems with interval objective functions coefficients," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 21(3), pages 625-649, September.
    15. Oliveira, Carla & Antunes, Carlos Henggeler, 2007. "Multiple objective linear programming models with interval coefficients - an illustrated overview," European Journal of Operational Research, Elsevier, vol. 181(3), pages 1434-1463, September.
    16. Medaglia, Andres L. & Hueth, Darrell & Mendieta, Juan Carlos & Sefair, Jorge A., 2008. "A multiobjective model for the selection and timing of public enterprise projects," Socio-Economic Planning Sciences, Elsevier, vol. 42(1), pages 31-45, March.
    17. Inuiguchi, Masahiro & Sakawa, Masatoshi, 1995. "Minimax regret solution to linear programming problems with an interval objective function," European Journal of Operational Research, Elsevier, vol. 86(3), pages 526-536, November.
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