IDEAS home Printed from https://ideas.repec.org/a/ids/ijlica/v21y2024i3p249-252.html
   My bibliography  Save this article

Editorial: Insights on knowledge management and intellectual capital for a greener and digital future

Author

Listed:
  • Patricia Ordóñez de Pablos

Abstract

The third issue of 2024 presents a collection of five papers that contributes to a better understanding of how IC, knowledge management and organisational learning can support and accelerate the transition for a greener and digital future. The issue explores crucial issues for competitiveness in the digital age and discusses insights and evidence from Czech Republic, India, Indonesia and Malaysia.

Suggested Citation

  • Patricia Ordóñez de Pablos, 2024. "Editorial: Insights on knowledge management and intellectual capital for a greener and digital future," International Journal of Learning and Intellectual Capital, Inderscience Enterprises Ltd, vol. 21(3), pages 249-252.
  • Handle: RePEc:ids:ijlica:v:21:y:2024:i:3:p:249-252
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=138702
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Patricia Ordonez de Pablos, 2004. "A guideline for building an intellectual capital statement: the 3R model," International Journal of Learning and Intellectual Capital, Inderscience Enterprises Ltd, vol. 1(1), pages 3-18.
    2. R. Sharma & Ana Beatriz Lopes de Sousa Jabbour & V. Jain & A. Shishodia, 2022. "The Role of Digital Technologies to Unleash a Green Recovery: Pathways and Pitfalls to Achieve the European Green Deal," Post-Print hal-04445050, HAL.
    3. Xi Zhang & Xianhai Wang & Hongke Zhao & Patricia Ordóñez de Pablos & Yongqiang Sun & Hui Xiong, 2019. "An effectiveness analysis of altmetrics indices for different levels of artificial intelligence publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1311-1344, June.
    Full references (including those not matched with items on IDEAS)

    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. Ying Guo & Xiantao Xiao, 2022. "Author-level altmetrics for the evaluation of Chinese scholars," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(2), pages 973-990, February.
    2. Chaocheng He & Jiang Wu & Qingpeng Zhang, 2021. "Characterizing research leadership on geographically weighted collaboration network," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4005-4037, May.
    3. Ricardo Arencibia-Jorge & Rosa Lidia Vega-Almeida & José Luis Jiménez-Andrade & Humberto Carrillo-Calvet, 2022. "Evolutionary stages and multidisciplinary nature of artificial intelligence research," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5139-5158, September.
    4. Jianhua Hou & Jiantao Ye, 2020. "Are uncited papers necessarily all nonimpact papers? A quantitative analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1631-1662, August.
    5. Farhat Chowdhury & Albert N. Link & Martijn Hasselt, 2022. "Public support for research in artificial intelligence: a descriptive study of U.S. Department of Defense SBIR Projects," The Journal of Technology Transfer, Springer, vol. 47(3), pages 762-774, June.
    6. Kumar, Devinder & Singh, Rajesh Kr & Mishra, Ruchi & Daim, Tugrul U., 2023. "Roadmap for integrating blockchain with Internet of Things (IoT) for sustainable and secured operations in logistics and supply chains: Decision making framework with case illustration," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    7. Yang, Siluo & Zheng, Mengxue & Yu, Yonghao & Wolfram, Dietmar, 2021. "Are Altmetric.com scores effective for research impact evaluation in the social sciences and humanities?," Journal of Informetrics, Elsevier, vol. 15(1).
    8. Guoqiang Liang & Ying Lou & Haiyan Hou, 2022. "Revisiting the disruptive index: evidence from the Nobel Prize-winning articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5721-5730, October.
    9. Artie W. Ng & Douglas Macbeth & Leslie S. C. Yip, 2017. "Exploring performance drivers for technology-based ventures from early stage to expansion: perspectives of venture capitalists," Venture Capital, Taylor & Francis Journals, vol. 19(4), pages 335-359, October.
    10. Gruetzemacher, Ross & Paradice, David & Lee, Kang Bok, 2020. "Forecasting extreme labor displacement: A survey of AI practitioners," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    11. Norasyikin Shaikh Ibrahim & Junaidah Hashim & Rozailin Abdul Rahman, 2018. "The Impact of Employer Branding and Career Growth on Talent Retention: The Mediating Role of Recruitment Practices in the Malaysian Public Sector," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 8(6), pages 1034-1053, June.
    12. Patricia Ordóñez de Pablos, 2023. "Editorial: Digital economy, intellectual capital and competitiveness. Some lessons for the post-COVID-19 era," International Journal of Learning and Intellectual Capital, Inderscience Enterprises Ltd, vol. 20(1), pages 1-5.
    13. Jiang, Zhengyu & Zhang, Xinyi & Zhao, Yingzhi & Li, Chengming & Wang, Zeyu, 2023. "The impact of urban digital transformation on resource sustainability: Evidence from a quasi-natural experiment in China," Resources Policy, Elsevier, vol. 85(PA).
    14. Saeed-Ul Hassan & Sehrish Iqbal & Naif R. Aljohani & Salem Alelyani & Alesia Zuccala, 2020. "Introducing the ‘alt-index’ for measuring the social visibility of scientific research," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(3), pages 1407-1419, June.
    15. Jianhua Hou & Xiucai Yang & Chaomei Chen, 2020. "Measuring researchers’ potential scholarly impact with structural variations: Four types of researchers in information science (1979–2018)," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-26, June.
    16. Manika Lamba, 2020. "Research productivity of health care policy faculty: a cohort study of Harvard Medical School," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 107-130, July.
    17. Yulia Turovets & Konstantin Vishnevskiy & Artem Altynov, 2020. "How To Measure Ai: Trends, Challenges And Implications," HSE Working papers WP BRP 116/STI/2020, National Research University Higher School of Economics.

    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:ids:ijlica:v:21:y:2024:i:3:p:249-252. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=86 .

    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.