Assessing the use of ChatGPT among agri-food researchers: A global perspective
This study examines the adoption of ChatGPT among agri-food researchers and experts across 61 countries, applying the Theory of Planned Behavior (TPB) to evaluate the key determinants of this adoption. Based on a quantitative methodology, an online survey was distributed to assess respondents'...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-03-01
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| Series: | Journal of Agriculture and Food Research |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666154324006537 |
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| author | Mohammad Sadegh Allahyari Sinisa Berjan Hamid El Bilali Tarek Ben Hassen Soroush Marzban |
| author_facet | Mohammad Sadegh Allahyari Sinisa Berjan Hamid El Bilali Tarek Ben Hassen Soroush Marzban |
| author_sort | Mohammad Sadegh Allahyari |
| collection | DOAJ |
| description | This study examines the adoption of ChatGPT among agri-food researchers and experts across 61 countries, applying the Theory of Planned Behavior (TPB) to evaluate the key determinants of this adoption. Based on a quantitative methodology, an online survey was distributed to assess respondents' attitudes, subjective norms, perceived behavioral control, and willingness to utilize ChatGPT in their research practices. The findings reveal a predominantly positive attitude towards ChatGPT, with many participants acknowledging its potential to enhance research productivity through editing, translation, and communication tasks. However, subjective norms were found to have a lower influence, suggesting limited external pressure from peers or institutions to integrate ChatGPT. Path analysis demonstrated significant direct and indirect effects of attitude, subjective norms, and perceived behavioral control on willingness to adopt ChatGPT, with a Goodness of Fit index of 0.748 supporting the model's robustness. The study emphasizes the need for heightened awareness and advocacy within academic communities, along with targeted training and support to enhance perceived behavioral control and address concerns about the accuracy and reliability of outputs generated through artificial intelligence (AI). These insights provide valuable contributions to understanding the factors shaping the adoption of AI tools in academic research, particularly within the agri-food sector. Future research should explore the evolving landscape of AI adoption, regional and disciplinary differences, and the ethical considerations surrounding AI technologies. Addressing these issues will enable researchers to better harness the transformative potential of tools like ChatGPT to advance their work in agri-food research. |
| format | Article |
| id | doaj-art-61b248f6d6fe4c8195072e7258cb32f6 |
| institution | DOAJ |
| issn | 2666-1543 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Agriculture and Food Research |
| spelling | doaj-art-61b248f6d6fe4c8195072e7258cb32f62025-08-20T03:12:51ZengElsevierJournal of Agriculture and Food Research2666-15432025-03-011910161610.1016/j.jafr.2024.101616Assessing the use of ChatGPT among agri-food researchers: A global perspectiveMohammad Sadegh Allahyari0Sinisa Berjan1Hamid El Bilali2Tarek Ben Hassen3Soroush Marzban4Department of Agricultural Management, Rasht Branch, Islamic Azad University, Rasht, Iran; Faculty of Economic and Management Sciences, North-West University, Mmabatho, 2735, South AfricaDepartment of Agroeconomy and Rural Development, Faculty of Agriculture, University of East Sarajevo, Lukavica, Bosnia and HerzegovinaInternational Centre for Advanced Mediterranean Agronomic Studies (CIHEAM-Bari), 70010, Valenzano, ItalyDepartment of International Affairs, College of Arts and Sciences, Qatar University, PO Box 2713, Doha, Qatar; Corresponding author.Department of Agricultural Extension and Education, Shiraz University, IranThis study examines the adoption of ChatGPT among agri-food researchers and experts across 61 countries, applying the Theory of Planned Behavior (TPB) to evaluate the key determinants of this adoption. Based on a quantitative methodology, an online survey was distributed to assess respondents' attitudes, subjective norms, perceived behavioral control, and willingness to utilize ChatGPT in their research practices. The findings reveal a predominantly positive attitude towards ChatGPT, with many participants acknowledging its potential to enhance research productivity through editing, translation, and communication tasks. However, subjective norms were found to have a lower influence, suggesting limited external pressure from peers or institutions to integrate ChatGPT. Path analysis demonstrated significant direct and indirect effects of attitude, subjective norms, and perceived behavioral control on willingness to adopt ChatGPT, with a Goodness of Fit index of 0.748 supporting the model's robustness. The study emphasizes the need for heightened awareness and advocacy within academic communities, along with targeted training and support to enhance perceived behavioral control and address concerns about the accuracy and reliability of outputs generated through artificial intelligence (AI). These insights provide valuable contributions to understanding the factors shaping the adoption of AI tools in academic research, particularly within the agri-food sector. Future research should explore the evolving landscape of AI adoption, regional and disciplinary differences, and the ethical considerations surrounding AI technologies. Addressing these issues will enable researchers to better harness the transformative potential of tools like ChatGPT to advance their work in agri-food research.http://www.sciencedirect.com/science/article/pii/S2666154324006537Chat generative pre-trained transformerAgri-food researchArtificial intelligenceTheory of planned behaviorTechnology adoptionAcademic research |
| spellingShingle | Mohammad Sadegh Allahyari Sinisa Berjan Hamid El Bilali Tarek Ben Hassen Soroush Marzban Assessing the use of ChatGPT among agri-food researchers: A global perspective Journal of Agriculture and Food Research Chat generative pre-trained transformer Agri-food research Artificial intelligence Theory of planned behavior Technology adoption Academic research |
| title | Assessing the use of ChatGPT among agri-food researchers: A global perspective |
| title_full | Assessing the use of ChatGPT among agri-food researchers: A global perspective |
| title_fullStr | Assessing the use of ChatGPT among agri-food researchers: A global perspective |
| title_full_unstemmed | Assessing the use of ChatGPT among agri-food researchers: A global perspective |
| title_short | Assessing the use of ChatGPT among agri-food researchers: A global perspective |
| title_sort | assessing the use of chatgpt among agri food researchers a global perspective |
| topic | Chat generative pre-trained transformer Agri-food research Artificial intelligence Theory of planned behavior Technology adoption Academic research |
| url | http://www.sciencedirect.com/science/article/pii/S2666154324006537 |
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