IDEAS home Printed from https://ideas.repec.org/a/aes/amfeco/v26y2024i65p259.html
   My bibliography  Save this article

Quantitative Evaluation of Willingness to Use Artificial Intelligence within Business and Economic Academic Environment

Author

Listed:
  • Daniela Serban

    (Bucharest University of Economic Studies, Romania)

  • Silvia Elena Cristache

    (Bucharest University of Economic Studies, Romania)

  • Narcisa Georgeta Ciobotar

    (Bucharest University of Economic Studies, Romania)

  • Laurentiu Gabriel Francu

    (Bucharest University of Economic Studies, Romania)

  • Jiries Mansou

    (Bucharest University of Economic Studies, Romania)

Abstract

The article analyses the state of awareness, use, and willingness to use artificial intelligence (AI) in business and economic universities, according to Romanian academics. It is also highlighting the main consequence of AI use in economic and business university education, with the aim of identifying an appropriate framework for the regulated implementation of AI systems in economic universities in Romania. The study aims to identify the advantages, disadvantages, and the willingness to use AI on the teachers’ personal initiative in research, teaching, and evaluation activities. The method of analysis used is quantitative, by managing an online questionnaire to which Romanian academic teachers familiar with AI in education responded. Data processing is carried out using Smart PLS, which allows the identification of statistical relationships guiding the perspectives of the use of AI in economic education in Romania. The sample represents a normal volume pilot sample. The results of the study are useful because they identify aspects that can optimise the research and education processes, as well as teaching, evaluation, and learning, to meet the increasing dynamics of AI use in the economic academic environment in Romania. The academics’ views on the advantages associated with the use of AI systems and their proposed solutions to maximise the advantages of AI use in research, teaching, and evaluation activities are also highlighted. All of this contributes to the development of a framework for the implementation of AI systems in the economic and business education in Romania. Results indicate an early stage of AI use and integration in the activities of academics from the analysed universities: AI is predominantly used for the evaluation of students, which can be done automatically. The availability of academics to use AI in teaching and research is low.

Suggested Citation

  • Daniela Serban & Silvia Elena Cristache & Narcisa Georgeta Ciobotar & Laurentiu Gabriel Francu & Jiries Mansou, 2024. "Quantitative Evaluation of Willingness to Use Artificial Intelligence within Business and Economic Academic Environment," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(65), pages 259-259, February.
  • Handle: RePEc:aes:amfeco:v:26:y:2024:i:65:p:259
    as

    Download full text from publisher

    File URL: http://www.amfiteatrueconomic.ro/temp/Article_3290.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Khogali, Hisham O. & Mekid, Samir, 2023. "The blended future of automation and AI: Examining some long-term societal and ethical impact features," Technology in Society, Elsevier, vol. 73(C).
    2. Alina Iorga Pisica & Tudor Edu & Rodica Milena Zaharia & Razvan Zaharia, 2023. "Implementing Artificial Intelligence in Higher Education: Pros and Cons from the Perspectives of Academics," Societies, MDPI, vol. 13(5), pages 1-13, May.
    3. Gursoy, Dogan & Chi, Oscar Hengxuan & Lu, Lu & Nunkoo, Robin, 2019. "Consumers acceptance of artificially intelligent (AI) device use in service delivery," International Journal of Information Management, Elsevier, vol. 49(C), pages 157-169.
    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. Aubel Martin & Pikturniene Indre & Joye Yannick, 2022. "Risk Perception and Risk Behavior in Response to Service Robot Anthropomorphism in Banking," Journal of Management and Business Administration. Central Europe, Sciendo, vol. 30(2), pages 26-42, June.
    2. Sebastian Molinillo & Francisco Rejón-Guardia & Rafael Anaya-Sánchez, 2023. "Exploring the antecedents of customers’ willingness to use service robots in restaurants," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 167-193, March.
    3. Shengliang Zhang & Chaoying Huang & Xiaodong Li & Ai Ren, 2022. "Understanding Impacts of Service Robots with the Revised Gap Model," Sustainability, MDPI, vol. 14(5), pages 1-23, February.
    4. Pelau Corina & Barbul Maria, 2021. "Consumers’ perception on the use of cognitive computing," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 15(1), pages 639-649, December.
    5. Song, Christina Soyoung & Kim, Youn-Kyung, 2022. "The role of the human-robot interaction in consumers’ acceptance of humanoid retail service robots," Journal of Business Research, Elsevier, vol. 146(C), pages 489-503.
    6. Olivia Hornung & Stefan Smolnik, 2022. "AI invading the workplace: negative emotions towards the organizational use of personal virtual assistants," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 123-138, March.
    7. Cheng-Feng Cheng & Chien-Che Huang & Ming-Chang Lin & Ta-Cheng Chen, 2023. "Exploring Effectiveness of Relationship Marketing on Artificial Intelligence Adopting Intention," SAGE Open, , vol. 13(4), pages 21582440231, December.
    8. Nicoleta Samarescu & Robert Bumbac & Alin Zamfiroiu & Maria-Cristina Iorgulescu, 2024. "Artificial Intelligence in Education: Next-Gen Teacher Perspectives," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(65), pages 145-145, February.
    9. Yuan, Chunlin & Zhang, Chenlei & Wang, Shuman, 2022. "Social anxiety as a moderator in consumer willingness to accept AI assistants based on utilitarian and hedonic values," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    10. Koc, Erdogan & Hatipoglu, Sercan & Kivrak, Oguzhan & Celik, Cemal & Koc, Kaan, 2023. "Houston, we have a problem!: The use of ChatGPT in responding to customer complaints," Technology in Society, Elsevier, vol. 74(C).
    11. van de Sanden, Stephanie & Willems, Kim & Brengman, Malaika, 2022. "How customers motive attributions impact intentions to use an interactive kiosk in-store," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    12. 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.
    13. Rodney Duffett & Rodica Milena Zaharia & Tudor Edu & Raluca Constantinescu & Costel Negricea, 2024. "Exploring the Antecedents of Artificial Intelligence Products’ Usage. The Case of Business Students," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(65), pages 106-106, February.
    14. Xu, Xing'an & Liu, Juan, 2022. "Artificial intelligence humor in service recovery," Annals of Tourism Research, Elsevier, vol. 95(C).
    15. Aubel Martin & Pikturniene Indre & Joye Yannick, 2022. "Risk Perception and Risk Behavior in Response to Service Robot Anthropomorphism in Banking," Journal of Management and Business Administration. Central Europe, Sciendo, vol. 30(1), pages 26-42, June.
    16. Aw, Eugene Cheng-Xi & Tan, Garry Wei-Han & Cham, Tat-Huei & Raman, Ramakrishnan & Ooi, Keng-Boon, 2022. "Alexa, what's on my shopping list? Transforming customer experience with digital voice assistants," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    17. Bosse, Douglas & Thompson, Steven & Ekman, Peter, 2023. "In consilium apparatus: Artificial intelligence, stakeholder reciprocity, and firm performance," Journal of Business Research, Elsevier, vol. 155(PA).
    18. Zhu, Tengteng & Lin, Zhibin & Liu, Xin, 2023. "The future is now? Consumers' paradoxical expectations of human-like service robots," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    19. Peng Hu & Yaobin Lu & Yeming Gong, 2021. "Dual humanness and trust in conversational AI : A person-centered approach," Post-Print hal-03598766, HAL.
    20. Pelau Corina & Barbul Maria & Bojescu Irina, 2022. "A conceptual comparative approach on personal AI assistants and external service robots," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 16(1), pages 1466-1474, August.

    More about this item

    Keywords

    Artificial intelligence; AI advantages; AI disadvantages; education; university; research; teaching; evaluation;
    All these keywords.

    JEL classification:

    • F02 - International Economics - - General - - - International Economic Order and Integration
    • F63 - International Economics - - Economic Impacts of Globalization - - - Economic Development
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics
    • M38 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Government Policy and Regulation
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    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:aes:amfeco:v:26:y:2024:i:65:p:259. 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: Valentin Dumitru (email available below). General contact details of provider: https://edirc.repec.org/data/aseeero.html .

    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.