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Science and Technology Studies: Exploring the Knowledge Base

Author

Listed:
  • Ben Martin

    (SPRU – Science and Technology Policy Research, The Freeman Centre, University of Sussex)

  • Paul Nightingale

    (SPRU – Science and Technology Policy Research, The Freeman Centre, University of Sussex)

  • Alfredo Yegros-Yegros

    (INGENIO (CSIC-UPV), Universitat Politècnica de València)

Abstract

Science and Technology Studies (STS) is one of a number of new research fields to emerge over the last four or five decades. This paper attempts to identify its core academic contributions using the references that are most cited by the authors of chapters in a number of authoritative ‘handbooks’. The study then analyses the impact of these contributions by exploring the research fields, journals, and geographical location of the researchers that have cited these core contributions in their own work. Together, these two analyses reveal the various phases in the development of STS and the various aspects of convergence and divergence of the field as the quantitative studies of science and technology gradually separated from the main body of STS. The paper ends with some conclusions about the evolution of STS such as the role of ‘institution builders’ in developing new research fields and the structures required to hold them together.

Suggested Citation

  • Ben Martin & Paul Nightingale & Alfredo Yegros-Yegros, 2011. "Science and Technology Studies: Exploring the Knowledge Base," Working Papers on Innovation Studies 20111004, Centre for Technology, Innovation and Culture, University of Oslo.
    • Handle: RePEc:tik:inowpp:20111004
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    References listed on IDEAS

    as
    1. Fagerberg, Jan & Verspagen, Bart, 2009. "Innovation studies--The emerging structure of a new scientific field," Research Policy, Elsevier, vol. 38(2), pages 218-233, March.
    2. Clausen, Tommy & Fagerberg, Jan & Gulbrandsen, Magnus, 2012. "Mobilizing for change: A study of research units in emerging scientific fields," Research Policy, Elsevier, vol. 41(7), pages 1249-1261.
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    5. Bhupatiraju, Samyukta & Nomaler, Önder & Triulzi, Giorgio & Verspagen, Bart, 2012. "Knowledge flows – Analyzing the core literature of innovation, entrepreneurship and science and technology studies," Research Policy, Elsevier, vol. 41(7), pages 1205-1218.
    6. Martin, Ben R., 2012. "The evolution of science policy and innovation studies," Research Policy, Elsevier, vol. 41(7), pages 1219-1239.
    7. Fagerberg, Jan & Fosaas, Morten & Sapprasert, Koson, 2012. "Innovation: Exploring the knowledge base," Research Policy, Elsevier, vol. 41(7), pages 1132-1153.
    8. Peter Van Den Besselaar, 2001. "The cognitive and the social structure of STS," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(2), pages 441-460, June.
    9. Landström, Hans & Harirchi, Gouya & Åström, Fredrik, 2012. "Entrepreneurship: Exploring the knowledge base," Research Policy, Elsevier, vol. 41(7), pages 1154-1181.
    10. Paul Nightingale, 2008. "Meta-paradigm change and the theory of the firm," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 17(3), pages 533-583, June.
    11. Geels, Frank W., 2002. "Technological transitions as evolutionary reconfiguration processes: a multi-level perspective and a case-study," Research Policy, Elsevier, vol. 31(8-9), pages 1257-1274, December.
    12. Rafols, Ismael & Leydesdorff, Loet & O’Hare, Alice & Nightingale, Paul & Stirling, Andy, 2012. "How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management," Research Policy, Elsevier, vol. 41(7), pages 1262-1282.
    13. Williams, Robin & Edge, David, 1996. "The social shaping of technology," Research Policy, Elsevier, vol. 25(6), pages 865-899, September.
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    Citations

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    Cited by:

    1. Esmaelian, Majid & Tavana, Madjid & Di Caprio, Debora & Ansari, Reza, 2017. "A multiple correspondence analysis model for evaluating technology foresight methods," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 188-205.
    2. Piñeiro-Chousa, Juan & López-Cabarcos, M. Ángeles & Romero-Castro, Noelia María & Pérez-Pico, Ada María, 2020. "Innovation, entrepreneurship and knowledge in the business scientific field: Mapping the research front," Journal of Business Research, Elsevier, vol. 115(C), pages 475-485.
    3. Dennys Eduardo Rossetto & Roberto Carlos Bernardes & Felipe Mendes Borini & Cristiane Chaves Gattaz, 2018. "Structure and evolution of innovation research in the last 60 years: review and future trends in the field of business through the citations and co-citations analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1329-1363, June.
    4. Fagerberg, Jan & Fosaas, Morten & Sapprasert, Koson, 2012. "Innovation: Exploring the knowledge base," Research Policy, Elsevier, vol. 41(7), pages 1132-1153.
    5. Manuel Fernández-Esquinas & María Isabel Sánchez-Rodríguez & José Antonio Pedraza-Rodríguez & Rocío Muñoz-Benito, 2021. "The use of QCA in science, technology and innovation studies: a review of the literature and an empirical application to knowledge transfer," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6349-6382, August.
    6. Clausen, Tommy & Fagerberg, Jan & Gulbrandsen, Magnus, 2012. "Mobilizing for change: A study of research units in emerging scientific fields," Research Policy, Elsevier, vol. 41(7), pages 1249-1261.
    7. Jungpyo Lee & So Young Sohn, 2021. "Recommendation system for technology convergence opportunities based on self-supervised representation learning," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 1-25, January.
    8. Martin, Ben R., 2012. "The evolution of science policy and innovation studies," Research Policy, Elsevier, vol. 41(7), pages 1219-1239.
    9. Joon Hyung Cho & Jungpyo Lee & So Young Sohn, 2021. "Predicting future technological convergence patterns based on machine learning using link prediction," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5413-5429, July.
    10. Jorge Mañana Rodríguez, 2017. "Disciplinarity and interdisciplinarity in citation and reference dimensions: knowledge importation and exportation taxonomy of journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 617-642, February.
    11. Di Stefano, Giada & Gambardella, Alfonso & Verona, Gianmario, 2012. "Technology push and demand pull perspectives in innovation studies: Current findings and future research directions," Research Policy, Elsevier, vol. 41(8), pages 1283-1295.
    12. Rafols, Ismael & Leydesdorff, Loet & O’Hare, Alice & Nightingale, Paul & Stirling, Andy, 2012. "How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management," Research Policy, Elsevier, vol. 41(7), pages 1262-1282.
    13. Geels, Frank W., 2020. "Micro-foundations of the multi-level perspective on socio-technical transitions: Developing a multi-dimensional model of agency through crossovers between social constructivism, evolutionary economics," Technological Forecasting and Social Change, Elsevier, vol. 152(C).
    14. Sungho Son & Nam-Wook Cho, 2020. "Technology Fusion Characteristics in the Solar Photovoltaic Industry of South Korea: A Patent Network Analysis Using IPC Co-Occurrence," Sustainability, MDPI, vol. 12(21), pages 1-19, October.
    15. Baaden, Philipp & Rennings, Michael & John, Marcus & Bröring, Stefanie, 2024. "On the emergence of interdisciplinary scientific fields: (how) does it relate to science convergence?," Research Policy, Elsevier, vol. 53(6).
    16. Riad Shams, S.M. & Vrontis, Demetris & Chaudhuri, Ranjan & Chavan, Gitesh & Czinkota, Michael R., 2020. "Stakeholder engagement for innovation management and entrepreneurial development: A meta-analysis," Journal of Business Research, Elsevier, vol. 119(C), pages 67-86.
    17. Rakas, Marija & Hain, Daniel S., 2019. "The state of innovation system research: What happens beneath the surface?," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    18. Fagerberg, Jan & Landström, Hans & Martin, Ben R., 2012. "Exploring the emerging knowledge base of ‘the knowledge society’," Research Policy, Elsevier, vol. 41(7), pages 1121-1131.
    19. Lee, Won Sang & Han, Eun Jin & Sohn, So Young, 2015. "Predicting the pattern of technology convergence using big-data technology on large-scale triadic patents," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 317-329.
    20. Edwards-Schachter,Mónica & Wallace,Matthew, 2015. "âShaken, but not stirredâ: six decades defining social innovation," INGENIO (CSIC-UPV) Working Paper Series 201504, INGENIO (CSIC-UPV).
    21. Milojević, Staša & Sugimoto, Cassidy R. & Larivière, Vincent & Thelwall, Mike & Ding, Ying, 2014. "The role of handbooks in knowledge creation and diffusion: A case of science and technology studies," Journal of Informetrics, Elsevier, vol. 8(3), pages 693-709.
    22. Borrás, Susana & Laatsit, Mart, 2019. "Towards system oriented innovation policy evaluation? Evidence from EU28 member states," Research Policy, Elsevier, vol. 48(1), pages 312-321.
    23. Bhupatiraju, Samyukta & Nomaler, Önder & Triulzi, Giorgio & Verspagen, Bart, 2012. "Knowledge flows – Analyzing the core literature of innovation, entrepreneurship and science and technology studies," Research Policy, Elsevier, vol. 41(7), pages 1205-1218.
    24. Donald deB. Beaver, 2012. "Quantity is only one of the qualities," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(1), pages 33-39, October.

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    More about this item

    Keywords

    science studies; STS; knowledge base; handbooks; core contributions;
    All these keywords.

    JEL classification:

    • N01 - Economic History - - General - - - Development of the Discipline: Historiographical; Sources and Methods
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • B29 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Other
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology

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