IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v128y2023i8d10.1007_s11192-023-04770-x.html
   My bibliography  Save this article

Empirical evidence on the relationship between research and teaching in academia

Author

Listed:
  • Domenico A. Maisano

    (Politecnico di Torino)

  • Luca Mastrogiacomo

    (Politecnico di Torino)

  • Fiorenzo Franceschini

    (Politecnico di Torino)

Abstract

Research and teaching are the two most characteristic activities of the professional life of academics. Since the second half of the last century, a plurality of studies focused on the link between these activities, with often contrasting conclusions. While some studies are in line with the von-Humboldtian view of research and teaching as synergistic activities, other studies theorize their uncorrelation or even negative tension. This divergence of views probably stems from the fact that investigations are often based on heterogeneous, limited and difficult-to-generalise data, using mainly qualitative metrics. This paper deepens the study of the research-teaching link, through a survey of 251 academics from Politecnico di Torino, i.e., one of the major Italian technical universities. From a methodological point of view, research and teaching are both analysed from the dual perspective of workload and quality of results obtained, on the basis of data of various kinds, including bibliometric indicators, teaching satisfaction indexes, number of credits awarded to students, etc. Next, a correlation analysis investigates possible links between teaching and research, showing that they tend to be weak and/or statistically insignificant. For instance, the investigation excludes both (i) the existence of a negative link in terms of workload—contradicting considerations such as “Those who do more teaching have less time to do research and vice versa”—and (ii) the existence of a positive link in terms of the quality of the results obtained—contradicting considerations such as “Those who obtain high quality results in research are likely to do the same in teaching and vice versa”. The results of this study are limited to the Italian context and do not necessarily have general validity. Nevertheless, they enhance previous findings in the scientific literature and may be useful for university administrators and those involved in the formulation of incentive strategies for academics.

Suggested Citation

  • Domenico A. Maisano & Luca Mastrogiacomo & Fiorenzo Franceschini, 2023. "Empirical evidence on the relationship between research and teaching in academia," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4475-4507, August.
  • Handle: RePEc:spr:scient:v:128:y:2023:i:8:d:10.1007_s11192-023-04770-x
    DOI: 10.1007/s11192-023-04770-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-023-04770-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11192-023-04770-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Domenico A. Maisano & Luca Mastrogiacomo & Fiorenzo Franceschini, 2020. "Short-term effects of non-competitive funding to single academic researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(3), pages 1261-1280, June.
    2. Franceschini, Fiorenzo & Maisano, Domenico, 2014. "Sub-field normalization of the IEEE scientific journals based on their connection with Technical Societies," Journal of Informetrics, Elsevier, vol. 8(3), pages 508-533.
    3. Perianes-Rodriguez, Antonio & Waltman, Ludo & van Eck, Nees Jan, 2016. "Constructing bibliometric networks: A comparison between full and fractional counting," Journal of Informetrics, Elsevier, vol. 10(4), pages 1178-1195.
    4. Moed, Henk F., 2010. "Measuring contextual citation impact of scientific journals," Journal of Informetrics, Elsevier, vol. 4(3), pages 265-277.
    5. Björk, Bo-Christer & Solomon, David, 2013. "The publishing delay in scholarly peer-reviewed journals," Journal of Informetrics, Elsevier, vol. 7(4), pages 914-923.
    6. Wolfgang Glänzel & Henk F. Moed, 2013. "Opinion paper: thoughts and facts on bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 381-394, July.
    7. Soledad Moya & Diego Prior & Gonzalo Rodríguez-Pírez, 2015. "Performance-based Incentives and the Behavior of Accounting Academics: Responding to Changes," Accounting Education, Taylor & Francis Journals, vol. 24(3), pages 208-232, June.
    8. González-Pereira, Borja & Guerrero-Bote, Vicente P. & Moya-Anegón, Félix, 2010. "A new approach to the metric of journals’ scientific prestige: The SJR indicator," Journal of Informetrics, Elsevier, vol. 4(3), pages 379-391.
    9. Franceschini, Fiorenzo & Maisano, Domenico & Mastrogiacomo, Luca, 2016. "Empirical analysis and classification of database errors in Scopus and Web of Science," Journal of Informetrics, Elsevier, vol. 10(4), pages 933-953.
    10. Ciriaco Andrea D’Angelo & Nees Jan Eck, 2020. "Collecting large-scale publication data at the level of individual researchers: a practical proposal for author name disambiguation," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 883-907, May.
    11. Hirotaka Kawashima & Hiroyuki Tomizawa, 2015. "Accuracy evaluation of Scopus Author ID based on the largest funding database in Japan," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(3), pages 1061-1071, June.
    12. Dorte Henriksen, 2016. "The rise in co-authorship in the social sciences (1980–2013)," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 455-476, May.
    13. Herbert W. Marsh & John Hattie, 2002. "The Relation between Research Productivity and Teaching Effectiveness," The Journal of Higher Education, Taylor & Francis Journals, vol. 73(5), pages 603-641, September.
    14. Franceschini, Fiorenzo & Maisano, Domenico, 2017. "Critical remarks on the Italian research assessment exercise VQR 2011–2014," Journal of Informetrics, Elsevier, vol. 11(2), pages 337-357.
    15. Giovanni Abramo & Ciriaco Andrea D’Angelo & Flavia Di Costa, 2019. "The collaboration behavior of top scientists," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(1), pages 215-232, January.
    16. Tibor Braun & Wolfgang Glänzel & András Schubert, 2010. "On Sleeping Beauties, Princes and other tales of citation distributions …," Research Evaluation, Oxford University Press, vol. 19(3), pages 195-202, September.
    17. Judit Bar-Ilan & Gali Halevi, 2018. "Temporal characteristics of retracted articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1771-1783, September.
    18. Yves Gendron, 2008. "Constituting the Academic Performer: The Spectre of Superficiality and Stagnation in Academia," European Accounting Review, Taylor & Francis Journals, vol. 17(1), pages 97-127.
    19. Fiorenzo Franceschini & Domenico Maisano & Anna Perotti & Andrea Proto, 2010. "Analysis of the ch-index: an indicator to evaluate the diffusion of scientific research output by citers," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 203-217, October.
    20. Vladlen Koltun & David Hafner, 2021. "The h-index is no longer an effective correlate of scientific reputation," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-16, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ademola Iyanda Ebeloku, PhD & Adebayo Sulaimon Adeoduy & James Olalekan Akinbode, 2024. "Work Environment and Academic Staff Performance in Federal Polytechnics, South-West, Nigeria," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 11(4), pages 874-889, April.

    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. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    2. Raminta Pranckutė, 2021. "Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World," Publications, MDPI, vol. 9(1), pages 1-59, March.
    3. Domenico A. Maisano & Luca Mastrogiacomo & Fiorenzo Franceschini, 2020. "Short-term effects of non-competitive funding to single academic researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(3), pages 1261-1280, June.
    4. Zhang, Fang & Wu, Shengli, 2020. "Predicting future influence of papers, researchers, and venues in a dynamic academic network," Journal of Informetrics, Elsevier, vol. 14(2).
    5. Sumiko Asai, 2021. "Collaboration between research institutes and large and small publishers for publishing open access journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 5245-5262, June.
    6. Henk F. Moed, 2016. "Comprehensive indicator comparisons intelligible to non-experts: the case of two SNIP versions," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 51-65, January.
    7. Orhan, Mehmet A. & van Rossenberg, Yvonne & Bal, P. Matthijs, 2024. "Authorship inequality and elite dominance in management and organizational research: A review of six decades," OSF Preprints tzx92, Center for Open Science.
    8. Walters, William H., 2017. "Do subjective journal ratings represent whole journals or typical articles? Unweighted or weighted citation impact?," Journal of Informetrics, Elsevier, vol. 11(3), pages 730-744.
    9. Dejian Yu & Wanru Wang & Shuai Zhang & Wenyu Zhang & Rongyu Liu, 2017. "A multiple-link, mutually reinforced journal-ranking model to measure the prestige of journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 521-542, April.
    10. Wolfgang Glänzel & Henk F. Moed, 2013. "Opinion paper: thoughts and facts on bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 381-394, July.
    11. Mingkun Wei, 2020. "Research on impact evaluation of open access journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 1027-1049, February.
    12. Ana Teresa Santos & Sandro Mendonça, 2022. "Do papers (really) match journals’ “aims and scope”? A computational assessment of innovation studies," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7449-7470, December.
    13. Wolfgang Glänzel & András Schubert & Bart Thijs & Koenraad Debackere, 2011. "A priori vs. a posteriori normalisation of citation indicators. The case of journal ranking," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(2), pages 415-424, May.
    14. Jordi Ardanuy & Llorenç Arguimbau & Ángel Borrego, 2022. "Social sciences and humanities research funded under the European Union Sixth Framework Programme (2002–2006): a long-term assessment of projects, acknowledgements and publications," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-13, December.
    15. Wang, Zhiqi & Chen, Yue & Glänzel, Wolfgang, 2020. "Preprints as accelerator of scholarly communication: An empirical analysis in Mathematics," Journal of Informetrics, Elsevier, vol. 14(4).
    16. Xinyi Zhao & Samin Aref & Emilio Zagheni & Guy Stecklov, 2022. "Return migration of German-affiliated researchers: analyzing departure and return by gender, cohort, and discipline using Scopus bibliometric data 1996–2020," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7707-7729, December.
    17. Andrea Mervar & Maja Jokić, 2022. "Core-periphery nexus in the EU social sciences: bibliometric perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5793-5817, October.
    18. Mingers, John & Yang, Liying, 2017. "Evaluating journal quality: A review of journal citation indicators and ranking in business and management," European Journal of Operational Research, Elsevier, vol. 257(1), pages 323-337.
    19. Ludo Waltman & Erjia Yan & Nees Jan Eck, 2011. "A recursive field-normalized bibliometric performance indicator: an application to the field of library and information science," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 301-314, October.
    20. Katrin Hussinger & Lorenzo Palladini, 2024. "Information accessibility and knowledge creation: the impact of Google’s withdrawal from China on scientific research," Industry and Innovation, Taylor & Francis Journals, vol. 31(6), pages 753-783, July.

    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:spr:scient:v:128:y:2023:i:8:d:10.1007_s11192-023-04770-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.