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Criteria Weights in Hiring Decisions—A Conjoint Approach

Author

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  • Monica Mihaela Maer Matei

    (Department of Education, Training and Labour Market, National Scientific Research Institute for Labour and Social Protection, 010643 Bucharest, Romania
    Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, 010552 Bucharest, Romania)

  • Ana-Maria Zamfir

    (Department of Education, Training and Labour Market, National Scientific Research Institute for Labour and Social Protection, 010643 Bucharest, Romania)

  • Cristina Mocanu

    (Department of Education, Training and Labour Market, National Scientific Research Institute for Labour and Social Protection, 010643 Bucharest, Romania)

Abstract

Understanding human behavior in the decision-making process represents a challenge for researchers in the socio-economic field. The complexity comes from multiple criteria acting simultaneously. Hiring decisions are made on a set of criteria representing the attributes of the applicants. This study’s main objective is to investigate Romanian employers’ behavior when recruiting for jobs targeting graduates from economic studies. The method used to identify the weights employers assign to different skills was based on an experimental technique-choice based conjoint. A survey experiment was conducted to produce causal conclusions about the recruiting process. The estimation was performed with a methodology based on machine learning, which allows to investigate interactions between subjects’ characteristics and conjoint criteria. The findings of our experiment align with other studies pointing to the increased relevance of non-cognitive skills for employability. Additionally, our results show that criteria weights in hiring decisions depend on company size, ownership, activity sector or personal characteristics of the recruiter. Our research provides a mechanism for understanding employers’ perspectives. This is valuable for informing job seekers to adjust their job search strategies and to invest in the skills offering hiring opportunities. Moreover, universities can use the results to adapt their educational programs to labor market needs.

Suggested Citation

  • Monica Mihaela Maer Matei & Ana-Maria Zamfir & Cristina Mocanu, 2023. "Criteria Weights in Hiring Decisions—A Conjoint Approach," Mathematics, MDPI, vol. 11(3), pages 1-18, February.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:3:p:728-:d:1053579
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    References listed on IDEAS

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    1. Fortuna Casoria & Ernesto Reuben & Christina Rott, 2022. "The Effect of Group Identity on Hiring Decisions with Incomplete Information," Management Science, INFORMS, vol. 68(8), pages 6336-6345, August.
    2. David Reibstein & John E. G. Bateson & William Boulding, 1988. "Conjoint Analysis Reliability: Empirical Findings," Marketing Science, INFORMS, vol. 7(3), pages 271-286.
    3. Hein, Maren & Goeken, Nils & Kurz, Peter & Steiner, Winfried J., 2022. "Using Hierarchical Bayes draws for improving shares of choice predictions in conjoint simulations: A study based on conjoint choice data," European Journal of Operational Research, Elsevier, vol. 297(2), pages 630-651.
    4. Aizaki, Hideo, 2012. "Basic Functions for Supporting an Implementation of Choice Experiments in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 50(c02).
    5. Biesma, R.G. & Pavlova, M. & van Merode, G.G. & Groot, W., 2007. "Using conjoint analysis to estimate employers preferences for key competencies of master level Dutch graduates entering the public health field," Economics of Education Review, Elsevier, vol. 26(3), pages 375-386, June.
    6. Humburg, Martin & van der Velden, Rolf, 2015. "Skills and the graduate recruitment process: Evidence from two discrete choice experiments," Economics of Education Review, Elsevier, vol. 49(C), pages 24-41.
    7. Wong, Jason Chun Yu & Blankenship, Brian & Urpelainen, Johannes & Balani, Kanika & Ganesan, Karthik & Bharadwaj, Kapardhi, 2022. "Understanding electricity billing preferences in rural and urban India: Evidence from a conjoint experiment," Energy Economics, Elsevier, vol. 106(C).
    8. Wittink, Dick R & Krishnamurthi, Lakshman & Nutter, Julia B, 1982. "Comparing Derived Importance Weights Across Attributes," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 8(4), pages 471-474, March.
    9. Paul E. Green & Abba M. Krieger & Yoram Wind, 2001. "Thirty Years of Conjoint Analysis: Reflections and Prospects," Interfaces, INFORMS, vol. 31(3_supplem), pages 56-73, June.
    10. Naven, Matthew & Whalen, Daniel, 2022. "The signaling value of university rankings: Evidence from top 14 law schools," Economics of Education Review, Elsevier, vol. 89(C).
    11. Arkes, Jeremy, 1999. "What Do Educational Credentials Signal and Why Do Employers Value Credentials?," Economics of Education Review, Elsevier, vol. 18(1), pages 133-141, February.
    12. van Beek, Krijn W. H. & Koopmans, Carl C. & van Praag, Bernard M. S., 1997. "Shopping at the labour market: A real tale of fiction," European Economic Review, Elsevier, vol. 41(2), pages 295-317, February.
    13. Hainmueller, Jens & Hopkins, Daniel J. & Yamamoto, Teppei, 2014. "Causal Inference in Conjoint Analysis: Understanding Multidimensional Choices via Stated Preference Experiments," Political Analysis, Cambridge University Press, vol. 22(1), pages 1-30, January.
    14. Di Gregorio, Angelo & Maggioni, Isabella & Mauri, Chiara & Mazzucchelli, Alice, 2019. "Employability skills for future marketing professionals," European Management Journal, Elsevier, vol. 37(3), pages 251-258.
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