IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v107y2016i1d10.1007_s11192-016-1880-y.html
   My bibliography  Save this article

Leadership of the present, current theories of multiple involvements: a bibliometric analysis

Author

Listed:
  • Diana Tal

    (University of Haifa
    Tel Aviv University
    University of Haifa)

  • Avishag Gordon

    (University of Haifa)

Abstract

This review examines the current approaches to leadership by dividing them into two major categories: those that treat leadership as a hierarchical system and those that treat leadership as a complex, flexible framework. The innovation of the paper is in using a bibliometric analysis in order to observe whether our results bore a resemblance to what is known in the literature about the different approaches to leadership until now. The data sources for the analyses were the Science and Social Science Citation Index Expanded database and the World Catalog database. The main argument is that although transformational leadership still remains the most influential in this field of research, shared, complexity, and collective types of leadership are the approaches that show the next greatest intensity of research. A quantitate analysis of a bibliometric method supports this suggestion. We argue that the reason for their popularity in the field lies in the modern structure of Western society, with its shift from the Industrial Era to the Knowledge Era shaped by democratization, globalization, and growing complexity of modern society.

Suggested Citation

  • Diana Tal & Avishag Gordon, 2016. "Leadership of the present, current theories of multiple involvements: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 259-269, April.
  • Handle: RePEc:spr:scient:v:107:y:2016:i:1:d:10.1007_s11192-016-1880-y
    DOI: 10.1007/s11192-016-1880-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-016-1880-y
    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/s11192-016-1880-y?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. Chaomei Chen, 2006. "CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 359-377, February.
    2. Henry Small, 2006. "Tracking and predicting growth areas in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(3), pages 595-610, September.
    3. Bonaccorsi, Andrea & Vargas, Juan, 2010. "Proliferation dynamics in new sciences," Research Policy, Elsevier, vol. 39(8), pages 1034-1050, October.
    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. Maximilian Scheffler & Johannes Brunzel, 2020. "Destructive leadership in organizational research: a bibliometric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 755-775, October.
    2. Katrin Muff & Coralie Delacoste & Thomas Dyllick, 2022. "Responsible Leadership Competencies in leaders around the world: Assessing stakeholder engagement, ethics and values, systems thinking and innovation competencies in leaders around the world," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 29(1), pages 273-292, January.

    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. Yi-Ming Wei & Jin-Wei Wang & Tianqi Chen & Bi-Ying Yu & Hua Liao, 2018. "Frontiers of Low-Carbon Technologies: Results from Bibliographic Coupling with Sliding Window," CEEP-BIT Working Papers 116, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    2. Xuefeng Wang & Shuo Zhang & Yuqin liu, 2022. "ITGInsight–discovering and visualizing research fronts in the scientific literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6509-6531, November.
    3. Ludo Waltman & Nees Jan Eck, 2012. "A new methodology for constructing a publication-level classification system of science," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(12), pages 2378-2392, December.
    4. Persson, Olle, 2010. "Identifying research themes with weighted direct citation links," Journal of Informetrics, Elsevier, vol. 4(3), pages 415-422.
    5. Liu, Xiang & Jiang, Tingting & Ma, Feicheng, 2013. "Collective dynamics in knowledge networks: Emerging trends analysis," Journal of Informetrics, Elsevier, vol. 7(2), pages 425-438.
    6. Mauricio Marrone, 2020. "Application of entity linking to identify research fronts and trends," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 357-379, January.
    7. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    8. Juste Raimbault, 2019. "Exploration of an interdisciplinary scientific landscape," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 617-641, May.
    9. Holly N. Wolcott & Matthew J. Fouch & Elizabeth R. Hsu & Leo G. DiJoseph & Catherine A. Bernaciak & James G. Corrigan & Duane E. Williams, 2016. "Modeling time-dependent and -independent indicators to facilitate identification of breakthrough research papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 807-817, May.
    10. Chen, Kaihua & Guan, Jiancheng, 2011. "A bibliometric investigation of research performance in emerging nanobiopharmaceuticals," Journal of Informetrics, Elsevier, vol. 5(2), pages 233-247.
    11. Chaker Jebari & Enrique Herrera-Viedma & Manuel Jesus Cobo, 2021. "The use of citation context to detect the evolution of research topics: a large-scale analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 2971-2989, April.
    12. Ivan Jarić & Jelena Knežević-Jarić & Mirjana Lenhardt, 2014. "Relative age of references as a tool to identify emerging research fields with an application to the field of ecology and environmental sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(2), pages 519-529, August.
    13. Henry Small & Phineas Upham, 2009. "Citation structure of an emerging research area on the verge of application," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(2), pages 365-375, May.
    14. Lu An & Xia Lin & Chuanming Yu & Xinwen Zhang, 2015. "Measuring and visualizing the contributions of Chinese and American LIS research institutions to emerging themes and salient themes," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1605-1634, December.
    15. Hanning Guo & Scott Weingart & Katy Börner, 2011. "Mixed-indicators model for identifying emerging research areas," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 421-435, October.
    16. Fabrizio Natale & Gianluca Fiore & Johann Hofherr, 2012. "Mapping the research on aquaculture. A bibliometric analysis of aquaculture literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(3), pages 983-999, March.
    17. Zhichao Fang & Rodrigo Costas & Wencan Tian & Xianwen Wang & Paul Wouters, 2020. "An extensive analysis of the presence of altmetric data for Web of Science publications across subject fields and research topics," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2519-2549, September.
    18. Chen, Chaomei & Chen, Yue & Horowitz, Mark & Hou, Haiyan & Liu, Zeyuan & Pellegrino, Donald, 2009. "Towards an explanatory and computational theory of scientific discovery," Journal of Informetrics, Elsevier, vol. 3(3), pages 191-209.
    19. Rotolo, Daniele & Hicks, Diana & Martin, Ben R., 2015. "What is an emerging technology?," Research Policy, Elsevier, vol. 44(10), pages 1827-1843.
    20. Min Song & Go Eun Heo & Su Yeon Kim, 2014. "Analyzing topic evolution in bioinformatics: investigation of dynamics of the field with conference data in DBLP," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 397-428, October.

    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:107:y:2016:i:1:d:10.1007_s11192-016-1880-y. 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.