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A first look at multiple institutional affiliations: a study of authors in Germany, Japan and the UK

Author

Listed:
  • Hanna Hottenrott

    (Technische Universität München
    Centre for European Economic Research (ZEW)
    K.U. Leuven)

  • Cornelia Lawson

    (University of Bath
    Collegio Carlo Alberto)

Abstract

This study sheds light on the unexplored phenomenon of multiple institutional affiliations using scientific publications. Institutional affiliations are important in the organisation and governance of science. Multiple affiliations may alter the traditional framework of academic employment and careers and may require a reappraisal of institutional assessment based on research outcomes of affiliated staff. Results for authors in three major science and technology nations (Germany, Japan and the UK) and in three fields (biology, chemistry, and engineering) show that multiple affiliations have at least doubled over the past few years. The analysis proposes three major types of multiple affiliations that depend on the structure of the research sector and its international openness. Highly internationalised and higher education-centred affiliations are most common for researchers in the UK whereas Germany and Japan have stronger cross-sector affiliation patterns. International multiple affiliations are, however, still more common in Germany compared to Japan which is characterised by a domestic, cross-sector affiliation distribution. Moreover, multiple affiliation authors are more often found on high impact papers, particularly in the case of authors from Japan and Germany in the fields of biology and chemistry.

Suggested Citation

  • Hanna Hottenrott & Cornelia Lawson, 2017. "A first look at multiple institutional affiliations: a study of authors in Germany, Japan and the UK," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 285-295, April.
    • Handle: RePEc:spr:scient:v:111:y:2017:i:1:d:10.1007_s11192-017-2257-6
    DOI: 10.1007/s11192-017-2257-6
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    References listed on IDEAS

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    1. Mohammad Reza Safaei & Marjan Goodarzi & Omid Mahian & Mahidzal Dahari & Somchai Wongwises, 2016. "A survey of using multiple affiliations by scholars in scientific articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 317-318, April.
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    Cited by:

    1. Hanna Hottenrott & Cornelia Lawson, 2022. "What is behind multiple institutional affiliations in academia?," Science and Public Policy, Oxford University Press, vol. 49(3), pages 382-402.
    2. Hanna Hottenrott & Michael E. Rose & Cornelia Lawson, 2021. "The rise of multiple institutional affiliations in academia," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(8), pages 1039-1058, August.
    3. Zaida Chinchilla-Rodríguez & Yi Bu & Nicolás Robinson-García & Rodrigo Costas & Cassidy R. Sugimoto, 2018. "Travel bans and scientific mobility: utility of asymmetry and affinity indexes to inform science policy," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 569-590, July.
    4. Moustafa, Khaled, 2020. "Octopus affiliations," arabixiv.org 2wz96, Center for Open Science.
    5. Nataliya Matveeva & Ivan Sterligov & Maria Yudkevich, 2019. "The Russian University Excellence Initiative: Is It Really Excellence That Is Promoted?," HSE Working papers WP BRP 49/EDU/2019, National Research University Higher School of Economics.
    6. Gianluca Fabiano & Andrea Marcellusi & Giampiero Favato, 2020. "Public–private contribution to biopharmaceutical discoveries: a bibliometric analysis of biomedical research in UK," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 153-168, July.
    7. Hans Pohl & Jason E. Lane, 2018. "Research contributions of international branch campuses to the scientific wealth of academically developing countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1719-1734, September.
    8. Alfredo Yegros-Yegros & Giovanna Capponi & Koen Frenken, 2021. "A spatial-institutional analysis of researchers with multiple affiliations," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-17, June.
    9. Hsuan-I Liu & Mu-Hsuan Huang, 2022. "Research contribution pattern analysis of multinational authorship papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1783-1800, April.
    10. Maria Victoria Guzmán-Sánchez & Maybel Piñón-Lora & Elio Atenógenes Villaseñor-García & José Luis Jiménez-Andrade & Humberto Carrillo-Calvet, 2018. "Characterization of the Cuban biopharmaceutical industry from collaborative networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1533-1548, June.
    11. Huang, Mu-Hsuan & Chang, Yu-Wei, 2018. "Multi-institutional authorship in genetics and high-energy physics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 549-558.
    12. Kuan, Chung-Huei & Chen, Dar-Zen & Huang, Mu-Hsuan, 2024. "Dubious cross-national affiliations obscure the assessment of international research collaboration," Journal of Informetrics, Elsevier, vol. 18(2).
    13. Kyungkook Kim & Keun Tae Cho, 2021. "A Review of Global Collaboration on COVID-19 Research during the Pandemic in 2020," Sustainability, MDPI, vol. 13(14), pages 1-23, July.

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    More about this item

    Keywords

    SCI; Multiple affiliations; Dual appointment; International collaboration; Science-industry collaboration; High-impact research;
    All these keywords.

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • J45 - Labor and Demographic Economics - - Particular Labor Markets - - - Public Sector Labor Markets
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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