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Emergent structures in faculty hiring networks, and the effects of mobility on academic performance

Author

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  • Robin Cowan

    (Université de Strasbourg
    Maastricht University
    Institut Universitaire de France)

  • Giulia Rossello

    (Maastricht University)

Abstract

This paper is about the South African job market for Ph.Ds. Ph.D. to first job mobility involves the preferences of both the hiring institution and the candidate. Both want to make the best choice and here institutional prestige plays a crucial role. A university’s prestige is an emergent property of hiring interactions, so we use a network perspective to measure it. Using this emergent ordering, we compare the subsequent scientific performance of scholars with different changes in the prestige hierarchy. We ask how movements between universities of different prestige from Ph.D. to first job correlates with academic performance. We use data of South African scholars from 1970 to 2012 and we find that those who make large movements in terms of prestige have lower research ratings than those who do not. Further, looking only those with large prestige movements, those with higher prestige Ph.Ds or first jobs have higher research ratings throughout their careers.

Suggested Citation

  • Robin Cowan & Giulia Rossello, 2018. "Emergent structures in faculty hiring networks, and the effects of mobility on academic performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 527-562, October.
    • Handle: RePEc:spr:scient:v:117:y:2018:i:1:d:10.1007_s11192-018-2858-8
    DOI: 10.1007/s11192-018-2858-8
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    1. Araki, Shota & Kawaguchi, Daiji & Onozuka, Yuki, 2016. "University prestige, performance evaluation, and promotion: Estimating the employer learning model using personnel datasets," Labour Economics, Elsevier, vol. 41(C), pages 135-148.
    2. Barnard, H. & Cowan, R. & Müller, M., 2012. "Global excellence at the expense of local diffusion, or a bridge between two worlds? Research in science and technology in the developing world," Research Policy, Elsevier, vol. 41(4), pages 756-769.
    3. Barnard, Helena & Cowan, Robin & Kirman, Alan & Müller, Moritz, 2016. "Including excluded groups: The slow racial transformation of the South African university system," MERIT Working Papers 2016-024, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    4. Conti, Annamaria & Visentin, Fabiana, 2015. "A revealed preference analysis of PhD students’ choices over employment outcomes," Research Policy, Elsevier, vol. 44(10), pages 1931-1947.
    5. Jeffrey H. Bair, 2003. "Hiring Practices in Finance Education: Linkages Among Top‐Ranked Graduate Programs," American Journal of Economics and Sociology, Wiley Blackwell, vol. 62(2), pages 429-433, April.
    6. Sekhon, Jasjeet S., 2011. "Multivariate and Propensity Score Matching Software with Automated Balance Optimization: The Matching package for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i07).
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    Citations

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    Cited by:

    1. Thomas Hugh Feeley & Frank Tutzauer, 2021. "The faculty hiring network for PhD-granting communication programs," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 3983-4003, May.
    2. Marton Demeter, 2022. "Development Studies in the World System of Global Knowledge Production: A Critical Empirical Analysis," Progress in Development Studies, , vol. 22(3), pages 239-256, July.
    3. Rossello, Giulia & Cowan, Robin & Mairesse, Jacques, 2020. "Ph.D. research output in STEM: the role of gender and race in supervision," MERIT Working Papers 2020-021, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    4. Cowan, Robin & Müller, Moritz & Kirman, Alan & Barnard, Helena, 2021. "Overcoming a legacy of racial discrimination: Competing policy goals in South African academia," MERIT Working Papers 2021-040, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    5. Rossello, Giulia & Martinelli, Arianna, 2023. "Breach of academic values and digital deviant behaviour: The case of Sci-Hub," MERIT Working Papers 2023-009, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    6. János József Tóth & Gergő Háló & Manuel Goyanes, 2023. "Beyond views, productivity, and citations: measuring geopolitical differences of scientific impact in communication research," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5705-5729, October.
    7. Marton Demeter & Agnes Jele & Zsolt Balázs Major, 2022. "The model of maximum productivity for research universities SciVal author ranks, productivity, university rankings, and their implications," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4335-4361, August.
    8. Cody FitzGerald & Yitong Huang & Katelyn Plaisier Leisman & Chad M. Topaz, 2023. "Temporal dynamics of faculty hiring in mathematics," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.
    9. Marton Demeter & Tamas Toth, 2020. "The world-systemic network of global elite sociology: the western male monoculture at faculties of the top one-hundred sociology departments of the world," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2469-2495, September.
    10. Giulia Rossello, 2023. "The Effect of Government Cuts of Doctoral Scholarships on Science," LEM Papers Series 2023/33, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    11. Mario González-Sauri & Giulia Rossello, 2023. "The Role of Early-Career University Prestige Stratification on the Future Academic Performance of Scholars," Research in Higher Education, Springer;Association for Institutional Research, vol. 64(1), pages 58-94, February.

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    More about this item

    Keywords

    Academia; South Africa; Faculty hiring network; Institutional prestige; Institutional stratification; Scholars research performance; University system; Matched pair analysis;
    All these keywords.

    JEL classification:

    • D7 - Microeconomics - - Analysis of Collective Decision-Making
    • I2 - Health, Education, and Welfare - - Education
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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