IDEAS home Printed from https://ideas.repec.org/h/tkp/mklp23/85.html
   My bibliography  Save this book chapter

Artificial Intelligence in Higher Education Research: Insights From Co-Occurrence Analysis

Author

Listed:
  • Luka Tomat

Abstract

No abstract is available for this item.

Suggested Citation

  • Luka Tomat, 2023. "Artificial Intelligence in Higher Education Research: Insights From Co-Occurrence Analysis," Economic, Social and Environmental Sustainability; The Role of Technology and Political Dialogue,, ToKnowPress.
    • Handle: RePEc:tkp:mklp23:85
    as

    Download full text from publisher

    File URL: http://www.toknowpress.net/ISBN/978-961-6914-30-7/85.pdf
    File Function: abstract
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shengli Deng & Sudi Xia, 2020. "Mapping the interdisciplinarity in information behavior research: a quantitative study using diversity measure and co-occurrence analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 489-513, July.
    2. Toorajipour, Reza & Sohrabpour, Vahid & Nazarpour, Ali & Oghazi, Pejvak & Fischl, Maria, 2021. "Artificial intelligence in supply chain management: A systematic literature review," Journal of Business Research, Elsevier, vol. 122(C), pages 502-517.
    3. Sayed Fayaz Ahmad & Muhammad Mansoor Alam & Mohd. Khairil Rahmat & Muhammad Shujaat Mubarik & Syed Irfan Hyder, 2022. "Academic and Administrative Role of Artificial Intelligence in Education," Sustainability, MDPI, vol. 14(3), pages 1-11, January.
    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. Rao, Amar & Sharma, Gagan Deep & Tiwari, Aviral Kumar & Hossain, Mohammad Razib & Dev, Dhairya, 2025. "Crude oil Price forecasting: Leveraging machine learning for global economic stability," Technological Forecasting and Social Change, Elsevier, vol. 216(C).
    2. Abdullah Alhamad & Hashed Mabkhot, 2023. "Determinants of Product Innovation Performance in Aviation Industry in Saudi Arabia," Economies, MDPI, vol. 11(2), pages 1-18, February.
    3. Toorajipour, Reza & Oghazi, Pejvak & Sohrabpour, Vahid & Patel, Pankaj C. & Mostaghel, Rana, 2022. "Block by block: A blockchain-based peer-to-peer business transaction for international trade," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    4. Vincenzo Varriale & Antonello Cammarano & Francesca Michelino & Mauro Caputo, 2025. "Critical analysis of the impact of artificial intelligence integration with cutting-edge technologies for production systems," Journal of Intelligent Manufacturing, Springer, vol. 36(1), pages 61-93, January.
    5. Guilherme Francisco Frederico, 2023. "ChatGPT in Supply Chains: Initial Evidence of Applications and Potential Research Agenda," Logistics, MDPI, vol. 7(2), pages 1-9, April.
    6. Loske, Dominic & Klumpp, Matthias, 2021. "Human-AI collaboration in route planning: An empirical efficiency-based analysis in retail logistics," International Journal of Production Economics, Elsevier, vol. 241(C).
    7. Azadi, Majid & Yousefi, Saeed & Farzipoor Saen, Reza & Shabanpour, Hadi & Jabeen, Fauzia, 2023. "Forecasting sustainability of healthcare supply chains using deep learning and network data envelopment analysis," Journal of Business Research, Elsevier, vol. 154(C).
    8. Qiao, Penghua & Xie, Yusha & Fung, Anna & Feng, Keyou & Fung, Hung-Gay, 2025. "Optimizing smart supply chain for enhanced corporate ESG performance," International Review of Financial Analysis, Elsevier, vol. 97(C).
    9. Lu Huang & Yijie Cai & Erdong Zhao & Shengting Zhang & Yue Shu & Jiao Fan, 2022. "Measuring the interdisciplinarity of Information and Library Science interactions using citation analysis and semantic analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6733-6761, November.
    10. Kopalle, Praveen K. & Lehmann, Donald R. & Ramachandran, Divya & Wetzels, Ruud, 2025. "Journal of Business Research Publications 1973–2024: Topics, methodological approaches, data, and analyses conducted," Journal of Business Research, Elsevier, vol. 194(C).
    11. Bowen Li & Fangxin Jiang & Hongjie Xia & Jiawei Pan, 2022. "Under the Background of AI Application, Research on the Impact of Science and Technology Innovation and Industrial Structure Upgrading on the Sustainable and High-Quality Development of Regional Econo," Sustainability, MDPI, vol. 14(18), pages 1-19, September.
    12. Chaudhary, Anu & Rathour, Ranju Kumari & Solanki, Preeti & Mehta Kakkar, Preeti & Pathania, Shruti & Walia, Abhishek & Baadhe, Rama Raju & Bhatia, Ravi Kant, 2025. "Recent technological advancements in biomass conversion to biofuels and bioenergy for circular economy roadmap," Renewable Energy, Elsevier, vol. 244(C).
    13. Saurabh Sharma & Vijay Kumar Gahlawat & Kumar Rahul & Rahul S Mor & Mohit Malik, 2021. "Sustainable Innovations in the Food Industry through Artificial Intelligence and Big Data Analytics," Logistics, MDPI, vol. 5(4), pages 1-16, September.
    14. Mengjun Li & Ayoung Suh, 2022. "Anthropomorphism in AI-enabled technology: A literature review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2245-2275, December.
    15. Ji Luo & Sayed Fayaz Ahmad & Asma Alyaemeni & Yuhan Ou & Muhammad Irshad & Randah Alyafi-Alzahri & Ghadeer Alsanie & Syeda Taj Unnisa, 2024. "Role of perceived ease of use, usefulness, and financial strength on the adoption of health information systems: the moderating role of hospital size," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    16. Hongyi Mao & Tao Zhang & Qing Tang, 2021. "Research Framework for Determining How Artificial Intelligence Enables Information Technology Service Management for Business Model Resilience," Sustainability, MDPI, vol. 13(20), pages 1-14, October.
    17. Al-kahtib, Ayman & Alghababsheh, Mohammad & Khattab, Mais, 2025. "The role of organizational ambidexterity and frugal innovation in enhancing circular supply chains: The effect of artificial intelligence capabilities," Technological Forecasting and Social Change, Elsevier, vol. 210(C).
    18. Manis, K.T. & Madhavaram, Sreedhar, 2023. "AI-Enabled marketing capabilities and the hierarchy of capabilities: Conceptualization, proposition development, and research avenues," Journal of Business Research, Elsevier, vol. 157(C).
    19. Jeetu Rana & Yash Daultani, 2023. "Mapping the Role and Impact of Artificial Intelligence and Machine Learning Applications in Supply Chain Digital Transformation: A Bibliometric Analysis," Operations Management Research, Springer, vol. 16(4), pages 1641-1666, December.
    20. Kordestani, Arash & Oghazi, Pejvak & Mostaghel, Rana, 2023. "Smart contract diffusion in the pharmaceutical blockchain: the battle of counterfeit drugs," Journal of Business Research, Elsevier, vol. 158(C).

    More about this item

    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:tkp:mklp23:85. 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: Maks Jezovnik (email available below). General contact details of provider: http://www.toknowpress.net/proceedings/978-961-6914-30-7/ .

    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.