IDEAS home Printed from https://ideas.repec.org/a/bit/bsrysr/v8y2017i2p101-114n8.html
   My bibliography  Save this article

Case Study in Interdisciplinary Scientific Communication: A Decade of the INDECS Journal

Author

Listed:
  • Stepanić Josip

    (Faculty of Mechanical Engineering and Naval Architecture, Department of Quality, Zagreb, Croatia)

  • Zoroja Jovana

    (Faculty of Economics and Business, University of Zagreb, Croatia)

  • Šimičević Vanja

    (Center for Croatian Studies, University of Zagreb, Croatia)

Abstract

Background: Interdisciplinary scientific areas regularly develop unique methodologies, yet utilise the conventional communication modes to disseminate results of their researches.

Suggested Citation

  • Stepanić Josip & Zoroja Jovana & Šimičević Vanja, 2017. "Case Study in Interdisciplinary Scientific Communication: A Decade of the INDECS Journal," Business Systems Research, Sciendo, vol. 8(2), pages 101-114, September.
    • Handle: RePEc:bit:bsrysr:v:8:y:2017:i:2:p:101-114:n:8
    DOI: 10.1515/bsrj-2017-0019
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/bsrj-2017-0019
    Download Restriction: no
    File URL: https://libkey.io/10.1515/bsrj-2017-0019?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
    ---><---

    References listed on IDEAS

    as
    1. Kirchler, Erich & Holzl, Erik, 2006. "Twenty-five years of the Journal of Economic Psychology (1981-2005): A report on the development of an interdisciplinary field of research," Journal of Economic Psychology, Elsevier, vol. 27(6), pages 793-804, December.
    2. Silva, F.N. & Rodrigues, F.A. & Oliveira, O.N. & da F. Costa, L., 2013. "Quantifying the interdisciplinarity of scientific journals and fields," Journal of Informetrics, Elsevier, vol. 7(2), pages 469-477.
    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. Gedas Baranauskas & Agota Giedrė Raišienė & Renata Korsakienė, 2020. "Mapping the Scientific Research on Mass Customization Domain: A Critical Review and Bibliometric Analysis," JRFM, MDPI, vol. 13(9), pages 1-20, September.

    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. Alfonso Ávila-Robinson & Cristian Mejia & Shintaro Sengoku, 2021. "Are bibliometric measures consistent with scientists’ perceptions? The case of interdisciplinarity in research," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7477-7502, September.
    2. Antonio Protic & Biserka Runje & Josip Stepanic, 2013. "Distribution of Citations in one Volume of a Journal," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 11(2), pages 227-237.
    3. Jingwei Zheng & Ke Zhang & Boya Han & Jiayi Hou, 2023. "Research Interdisciplinarity and Citation Impact: A Network Analysis of Social Networking Sites Research," SAGE Open, , vol. 13(3), pages 21582440231, August.
    4. Brito, Ana C.M. & Silva, Filipi N. & Amancio, Diego R., 2021. "Associations between author-level metrics in subsequent time periods," Journal of Informetrics, Elsevier, vol. 15(4).
    5. Hric, Darko & Kaski, Kimmo & Kivelä, Mikko, 2018. "Stochastic block model reveals maps of citation patterns and their evolution in time," Journal of Informetrics, Elsevier, vol. 12(3), pages 757-783.
    6. Chiara Carusi & Giuseppe Bianchi, 2020. "A look at interdisciplinarity using bipartite scholar/journal networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 867-894, February.
    7. Silva, Filipi N. & Amancio, Diego R. & Bardosova, Maria & Costa, Luciano da F. & Oliveira, Osvaldo N., 2016. "Using network science and text analytics to produce surveys in a scientific topic," Journal of Informetrics, Elsevier, vol. 10(2), pages 487-502.
    8. Qing Ke, 2023. "Interdisciplinary research and technological impact: evidence from biomedicine," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2035-2077, April.
    9. Dunaiski, Marcel & Geldenhuys, Jaco & Visser, Willem, 2019. "On the interplay between normalisation, bias, and performance of paper impact metrics," Journal of Informetrics, Elsevier, vol. 13(1), pages 270-290.
    10. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.
    11. Maria Efremova & Zarina Lepshokova, 2015. "Strength and Positivity of Religious Identification as Predictors of the Attitude Toward Economic Involvement Among Orthodox Christians and Sunni Muslims in Russia," HSE Working papers WP BRP 46/PSY/2015, National Research University Higher School of Economics.
    12. Shuto Miyashita & Shintaro Sengoku, 2021. "Scientometrics for management of science: collaboration and knowledge structures and complexities in an interdisciplinary research project," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7419-7444, September.
    13. Wang L. & Coccia M., 2015. "Evolutionary convergence of the patterns of international research collaborations across scientific fields," MERIT Working Papers 2015-011, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    14. Jingjing Ren & Fang Wang & Minglu Li, 2023. "Dynamics and characteristics of interdisciplinary research in scientific breakthroughs: case studies of Nobel-winning research in the past 120 years," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4383-4419, August.
    15. Maribel Blasco, 2022. "“We’re Just Geeks”: Disciplinary Identifications Among Business Students and Their Implications for Personal Responsibility," Journal of Business Ethics, Springer, vol. 178(1), pages 279-302, June.
    16. Dunaiski, Marcel & Geldenhuys, Jaco & Visser, Willem, 2019. "Globalised vs averaged: Bias and ranking performance on the author level," Journal of Informetrics, Elsevier, vol. 13(1), pages 299-313.
    17. Juan María Hernández & Pablo Dorta-González, 2020. "Interdisciplinarity Metric Based on the Co-Citation Network," Mathematics, MDPI, vol. 8(4), pages 1-8, April.

    More about this item

    Keywords

    interdisciplinary journal; communication; text mining;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

    Statistics

    Access and download statistics

    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:bit:bsrysr:v:8:y:2017:i:2:p:101-114:n:8. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.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.