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Year 2025, Volume: 21 Issue: 1, 64 - 69, 30.07.2025

Abstract

References

  • Ali, W., & Khan, A. Z. (2024). Factors Influencing Readiness for Artificial Intelligence: A Systematic Literature Review. Data Science and Management, 8(2), 224-236. https://doi.org/10.1016/j.dsm.2024.09.005
  • AlRadini, F., Ahmad, N., Eiaz Kahloon, L., Javaid, A., & Al Zamil, N. (2022). Measuring Readiness for Self-Directed Learning in Medical Undergraduates. Advances in Medical Education and Practice, 13, 449-455. https://doi.org/10.2147/AMEP.S360333
  • Alsheibani, S., Cheung, Y., & Messom, C. (2018). Artificial Intelligence Adoption: AI-readiness at Firm Level. In Proceedings of the Pacific Asia Conference on Information Systems 2018 (PACIS 2018), Yokahama, Japan, 26-30 June 2018, 37.
  • Andersson, L. (2025). Are You Prepared: A Study of AI Readiness within the Energy Sector. [Degree of Master, Umea University]. Retrieved July 19, 2025 from https://www.diva-portal.org/smash/record.jsf?dswid=-4014&pid=diva2%3A1978069
  • Baskara, F. R. (2025). Conceptualizing Digital Literacy for the AI Era: A Framework for Preparing Students in an AI-Driven World. Data and Metadata, 4, 530. https://doi.org/10.56294/dm2025530
  • Baslom, M. M. M., & Tong, S. (2019). Strategic Management of Organizational Knowledge and Employee’s Awareness About Artificial Intelligence with Mediating Effect of Learning Climate. International Journal of Computational Intelligence Systems, 12(2), 1585-1591.
  • Barreras, R. V. (2025). Surfing the Future: Why Education Needs to Embrace AI, Soft Skills and Self-awareness. World Economic Forum. Retrieved July 8, from https://www.weforum.org/stories/2025/06/education-future-skills-ai/
  • Bhattacherjee, A., & Hikmet, N. (2008). Reconceptualizing Organizational Support and Its Effects on Information Technology Usage: Evidence From the Healthcare Sector. Journal of Computer Information Systems, 48(4), 69-76.
  • Coetzee, D. (2025). The AI Readiness Prism: A Multi-Dimensional Framework for Assessing AI Integration Ethics and Cultural Alignment. https://doi.org/10.13140/RG.2.2.30096.32003
  • Cordeschi, R. (2007). AI Turns Fifty: Revisiting Its Origins. Applied Artificial Intelligence, 21(4-5), 259-279. https://doi.org/10.1080/08839510701252304
  • Felemban, H., Sohail, M., & Ruikar, K. (2024). Exploring the Readiness of Organisations to Adopt Artificial Intelligence. Buildings, 14(8), 2460.
  • Jaiswal, A., Arun, C. J., & Varma, A. (2022). Rebooting Employees: Upskilling for Artificial Intelligence in Multinational Corporations. The International Journal of Human Resource Management, 33(6), 1179-1208. https://doi.org/10.1080/09585192.2021.1891114
  • Jöhnk, J., WeiBert, M., & Wyrtki, K. (2021). Ready or Not, AI Comes-An Interview Study of Organizational AI Readiness Factors. Business & Information Systems Engineering, 63(1), 5-20.
  • Jökinen, S. (2025). Succeeding in Strategic AI Adoption: Role of Analyzing Organizational and Technological Readiness. School of Management. Retrieved July 9, from
  • https://osuva.uwasa.fi/bitstream/handle/10024/19578/Uwasa_2025_Jokinen_Samuel.pdf?sequence=2&isAllowed=y
  • Jun, W., Ali, W., Bhutto, M.Y., Hussain, H., & Khan, N. A. (2019). Examining the Determinants of Green Innovation Adoption in SMEs: A PLS-SEM Approach. European Journal of Innovation Management. 24(1), 67-87.
  • Lokuge, S., Sedera, D., Grover, V., & Dongming, X. (2019). Organizational Readiness for Digital Innovation: Development and Empirical Calibration of a Construct. Information & Management, 56(3), 445-461.
  • Mabad, T., Ali, O., Ally, M., Wamba, S. F., & Chan, K. C. (2021). Making Investment Decisions on RFID Technology: An Evaluation of Key Adoption Factors in Construction Firms. IEEE Access, 9, 36937-36954. https://doi.org/10.1109/ACCESS.2021.3063301
  • Moppett, S. A. (2025). Preparing Students for the Artificial Intelligence Era: The Crucial Role of Critical Thinking Skills. Suffolk University Law School Research Paper No. 25-4, Forthcoming, Mitchell Hamline Law Review, 52. https://dx.doi.org/10.2139/ssrn.5193298
  • Morandini, S., Fraboni, F., De Angelis, M., Puzzo, G., Giusino, D., & Pietrantoni, L. (2023). The Impact of Artificial Intelligence on Workers’ Sklls: Upskilling and Reskilling in Organisations. Informing Science, 26, 39-68.
  • Muhvi, H. A., Sukmadewi, R., Chan, A., & Kahfi, A. A. (2024). Organizational Readiness for Artificial Intelligence with Systematic Mapping Study in Public and Private Sectors. Sosiohumaniora, 26(3), 483-494.
  • Naheed, S., Pinto, R., & Pirola, F. (2025). A Preliminary Multidimensional AI Readiness Assessment Model for SME’s. Procedia Computer Science, 253, 774-783. https://doi.org/10.1016/j.procs.2025.01.139
  • Neumann, O., Guirguis, K., & Steiner, R. (2024). Exploring Artificial Intelligence Adoption in Public Organizations: A Comparative Case Study. Public Management Review, 26(1), 114-141.
  • Nortje, M. A., & Grobbelaar, S. S. (2020). A Framework for the Implementation of Artificial Intelligence in Business Enterprises: A Readiness Model, 2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC). https://doi.org/10.1109/ICE/ITMC49519.2020.9198436
  • Oloyede, J. (2025) The AI-Driven Organization: Building Future-Ready Teams and Structures. https://dx.doi.org/10.2139/ssrn.5317009
  • Pandey, R., Rathore, S., & Dubey, S. (2025). AI Readiness Skills-A Common Minimum Framework for Upskilling Humans. https://dx.doi.org/10.2139/ssrn.5239022
  • Russell, S., & Norvig, P. (2010). Artificial Intelligence: A Modern Approach (3rd ed.). Pearson Education.
  • Shonhe, L., Min, Q., & Phuti, R. (2024). Government AI Readiness in the ESARBICA Community: Findings From the Oxford Insights AI Readiness Index 2022. ESARBICA Journal: Journal of the Eastern and Sourthern Africa Regional Branch of the International Council on Archieves, 43, 84-101.
  • Sjöberg, R., & Schill, D. (2023). Examining Key Factors for Organizational Readiness Towards AI Adoption in the Software Industry: A Qualitative Study. Discover Artificial Intelligence, 4(1), 34.
  • Srisathan, W. A., Ketkaew, C., & Naruetharadho, P. (2020). The Intervention of Organizational Sustainability in the Effect of Organizational Culture on Open Innovation Performance: A Case of Thai and Chinese SMEs. Cogent Business & Management, 7(1), 1717408. https://doi.org/10.1080/23311975.2020.1717408
  • Stenberg, L., & Nilsson, S. (2020). Factors Influencing Readiness of Adopting AI: A Qualitative Study of How the TOE Framework Applies to AI Adoption in Governmental Authorities (Dissertation). Retrieved June 8, from https://kth.diva-portal.org/smash/record.jsf?pid=diva2%3A1460888&dswid=-2568
  • Sucu, İ. (2019). Yapay Zekanın Toplum Üzerindeki Etkisi ve Yapay Zeka (AI) Filmi Bağlamında Yapay Zekaya Bakış. Uluslararası Ders Kitapları ve Eğitim Materyalleri Dergisi, 2(2), 203-215.
  • Sun, S., Cegielski, C. G., Jia, L., & Hall, D. J. (2018). Understanding The Factors Affecting the Organizational Adoption of Big Data. Journal of Computer Information Systems, 58(3), 193-203. https://doi.org/10.1080/08874417.2016.1222891
  • Taşçı, G., & Çelebi, M. (2020). Eğitimde Yeni Paradigma: “Yükseköğretimde Yapay Zeka”. OPUS Uluslararası Toplum Araştırmaları Dergisi, 16(29), 2346-2370. https://doi.org/10.26466/opus.747634
  • Tehrani, A. N., Ray, S., Roy, S. K., Gruner, R. L., & Appio, F. P. (2024). Decoding AI Readiness: An In-depth Analysis of Key Dimensions in Multinational Corporations. Technovation, 131, 102948.
  • Tornatzky, L., Fleischer, M. & Alok, K. C. (1990). The Processes of Technological Innovation. Lexington: Lexington Books.
  • Tursunbayeva, A., & Gal, H. C. B. (2024). Adoption of Artificial Intelligence: A TOP Framework-based Checklist for Digital Leaders. Business Horizons, 67(4), 357-368.
  • Yurt, E., & Kasarci, I., (2024). A Questionnaire of Artificial Intelligence Use Motives: A Contribution to Investigating the Connection Between AI and Motivation. International Journal of Technology in Education, 7(2), 308-325.

UNDERSTANDING AI ADOPTION AT ORGANIZATIONS: LITERATURE REVIEW OF TOE FRAMEWORK

Year 2025, Volume: 21 Issue: 1, 64 - 69, 30.07.2025

Abstract

Purpose- In the contemporary business landscape, we are witnessing the rapid development of Artificial Intelligence (AI), which is fundamentally reshaping organizational practices. These developments mark what can be described as the "Era of AI", a significant milestone in technological history. While AI offers benefits, it also presents critical challenges, particularly concerning its adoption and the adaptation processes within organizations. Despite the swift evolution of AI technologies, research on their practical applications in organizational settings remains scarce and underdeveloped. This gap highlights a promising area for further exploration.
In alignment with the literature, it can be argued that organizations with higher AI adoption rates tend to achieve better innovation outcomes, which suggests a need to revisit and potentially expand the Technology-Organization-Environment (TOE) paradigm. Originally developed to explain technological adoption/embracement, the TOE framework may not capture the complexities introduced by AI. This study aims to explore whether an expanded TOE paradigm is necessary to better address the contemporary dynamics of AI adoption.
Methodology- This research investigates the historical development and consolidation of AI within organizations, using the TOE paradigm as a foundational theoretical look. The study examines whether the existing TOE model sufficiently explains AI adoption or whether it requires augmentation to remain relevant in the age of generative AI.
Findings- Literature review findings indicate that the traditional TOE framework exhibits limitations when applied to AI adoption. To address these gaps, another study was found in the literature that proposes the inclusion of a human factor—transforming the TOE into a TOEH (Technology-Organization-Environment-Human) model. In our research we would like to integrate critical thinking (CT) skills under Human Factor, as organizations increasingly seek employees who can critically assess and effectively utilize outputs from generative AI (GenAI) tools. The ability to make intelligent and ethical decisions in the context of AI is now a vital competency.
Conclusion- The proposed TOEH framework offers a more well-rounded approach to discovering AI adoption within organizations. By incorporating the human element, particularly critical thinking skills, organizations can better prepare to embrace AI in an ethical, effective, and innovative manner.

References

  • Ali, W., & Khan, A. Z. (2024). Factors Influencing Readiness for Artificial Intelligence: A Systematic Literature Review. Data Science and Management, 8(2), 224-236. https://doi.org/10.1016/j.dsm.2024.09.005
  • AlRadini, F., Ahmad, N., Eiaz Kahloon, L., Javaid, A., & Al Zamil, N. (2022). Measuring Readiness for Self-Directed Learning in Medical Undergraduates. Advances in Medical Education and Practice, 13, 449-455. https://doi.org/10.2147/AMEP.S360333
  • Alsheibani, S., Cheung, Y., & Messom, C. (2018). Artificial Intelligence Adoption: AI-readiness at Firm Level. In Proceedings of the Pacific Asia Conference on Information Systems 2018 (PACIS 2018), Yokahama, Japan, 26-30 June 2018, 37.
  • Andersson, L. (2025). Are You Prepared: A Study of AI Readiness within the Energy Sector. [Degree of Master, Umea University]. Retrieved July 19, 2025 from https://www.diva-portal.org/smash/record.jsf?dswid=-4014&pid=diva2%3A1978069
  • Baskara, F. R. (2025). Conceptualizing Digital Literacy for the AI Era: A Framework for Preparing Students in an AI-Driven World. Data and Metadata, 4, 530. https://doi.org/10.56294/dm2025530
  • Baslom, M. M. M., & Tong, S. (2019). Strategic Management of Organizational Knowledge and Employee’s Awareness About Artificial Intelligence with Mediating Effect of Learning Climate. International Journal of Computational Intelligence Systems, 12(2), 1585-1591.
  • Barreras, R. V. (2025). Surfing the Future: Why Education Needs to Embrace AI, Soft Skills and Self-awareness. World Economic Forum. Retrieved July 8, from https://www.weforum.org/stories/2025/06/education-future-skills-ai/
  • Bhattacherjee, A., & Hikmet, N. (2008). Reconceptualizing Organizational Support and Its Effects on Information Technology Usage: Evidence From the Healthcare Sector. Journal of Computer Information Systems, 48(4), 69-76.
  • Coetzee, D. (2025). The AI Readiness Prism: A Multi-Dimensional Framework for Assessing AI Integration Ethics and Cultural Alignment. https://doi.org/10.13140/RG.2.2.30096.32003
  • Cordeschi, R. (2007). AI Turns Fifty: Revisiting Its Origins. Applied Artificial Intelligence, 21(4-5), 259-279. https://doi.org/10.1080/08839510701252304
  • Felemban, H., Sohail, M., & Ruikar, K. (2024). Exploring the Readiness of Organisations to Adopt Artificial Intelligence. Buildings, 14(8), 2460.
  • Jaiswal, A., Arun, C. J., & Varma, A. (2022). Rebooting Employees: Upskilling for Artificial Intelligence in Multinational Corporations. The International Journal of Human Resource Management, 33(6), 1179-1208. https://doi.org/10.1080/09585192.2021.1891114
  • Jöhnk, J., WeiBert, M., & Wyrtki, K. (2021). Ready or Not, AI Comes-An Interview Study of Organizational AI Readiness Factors. Business & Information Systems Engineering, 63(1), 5-20.
  • Jökinen, S. (2025). Succeeding in Strategic AI Adoption: Role of Analyzing Organizational and Technological Readiness. School of Management. Retrieved July 9, from
  • https://osuva.uwasa.fi/bitstream/handle/10024/19578/Uwasa_2025_Jokinen_Samuel.pdf?sequence=2&isAllowed=y
  • Jun, W., Ali, W., Bhutto, M.Y., Hussain, H., & Khan, N. A. (2019). Examining the Determinants of Green Innovation Adoption in SMEs: A PLS-SEM Approach. European Journal of Innovation Management. 24(1), 67-87.
  • Lokuge, S., Sedera, D., Grover, V., & Dongming, X. (2019). Organizational Readiness for Digital Innovation: Development and Empirical Calibration of a Construct. Information & Management, 56(3), 445-461.
  • Mabad, T., Ali, O., Ally, M., Wamba, S. F., & Chan, K. C. (2021). Making Investment Decisions on RFID Technology: An Evaluation of Key Adoption Factors in Construction Firms. IEEE Access, 9, 36937-36954. https://doi.org/10.1109/ACCESS.2021.3063301
  • Moppett, S. A. (2025). Preparing Students for the Artificial Intelligence Era: The Crucial Role of Critical Thinking Skills. Suffolk University Law School Research Paper No. 25-4, Forthcoming, Mitchell Hamline Law Review, 52. https://dx.doi.org/10.2139/ssrn.5193298
  • Morandini, S., Fraboni, F., De Angelis, M., Puzzo, G., Giusino, D., & Pietrantoni, L. (2023). The Impact of Artificial Intelligence on Workers’ Sklls: Upskilling and Reskilling in Organisations. Informing Science, 26, 39-68.
  • Muhvi, H. A., Sukmadewi, R., Chan, A., & Kahfi, A. A. (2024). Organizational Readiness for Artificial Intelligence with Systematic Mapping Study in Public and Private Sectors. Sosiohumaniora, 26(3), 483-494.
  • Naheed, S., Pinto, R., & Pirola, F. (2025). A Preliminary Multidimensional AI Readiness Assessment Model for SME’s. Procedia Computer Science, 253, 774-783. https://doi.org/10.1016/j.procs.2025.01.139
  • Neumann, O., Guirguis, K., & Steiner, R. (2024). Exploring Artificial Intelligence Adoption in Public Organizations: A Comparative Case Study. Public Management Review, 26(1), 114-141.
  • Nortje, M. A., & Grobbelaar, S. S. (2020). A Framework for the Implementation of Artificial Intelligence in Business Enterprises: A Readiness Model, 2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC). https://doi.org/10.1109/ICE/ITMC49519.2020.9198436
  • Oloyede, J. (2025) The AI-Driven Organization: Building Future-Ready Teams and Structures. https://dx.doi.org/10.2139/ssrn.5317009
  • Pandey, R., Rathore, S., & Dubey, S. (2025). AI Readiness Skills-A Common Minimum Framework for Upskilling Humans. https://dx.doi.org/10.2139/ssrn.5239022
  • Russell, S., & Norvig, P. (2010). Artificial Intelligence: A Modern Approach (3rd ed.). Pearson Education.
  • Shonhe, L., Min, Q., & Phuti, R. (2024). Government AI Readiness in the ESARBICA Community: Findings From the Oxford Insights AI Readiness Index 2022. ESARBICA Journal: Journal of the Eastern and Sourthern Africa Regional Branch of the International Council on Archieves, 43, 84-101.
  • Sjöberg, R., & Schill, D. (2023). Examining Key Factors for Organizational Readiness Towards AI Adoption in the Software Industry: A Qualitative Study. Discover Artificial Intelligence, 4(1), 34.
  • Srisathan, W. A., Ketkaew, C., & Naruetharadho, P. (2020). The Intervention of Organizational Sustainability in the Effect of Organizational Culture on Open Innovation Performance: A Case of Thai and Chinese SMEs. Cogent Business & Management, 7(1), 1717408. https://doi.org/10.1080/23311975.2020.1717408
  • Stenberg, L., & Nilsson, S. (2020). Factors Influencing Readiness of Adopting AI: A Qualitative Study of How the TOE Framework Applies to AI Adoption in Governmental Authorities (Dissertation). Retrieved June 8, from https://kth.diva-portal.org/smash/record.jsf?pid=diva2%3A1460888&dswid=-2568
  • Sucu, İ. (2019). Yapay Zekanın Toplum Üzerindeki Etkisi ve Yapay Zeka (AI) Filmi Bağlamında Yapay Zekaya Bakış. Uluslararası Ders Kitapları ve Eğitim Materyalleri Dergisi, 2(2), 203-215.
  • Sun, S., Cegielski, C. G., Jia, L., & Hall, D. J. (2018). Understanding The Factors Affecting the Organizational Adoption of Big Data. Journal of Computer Information Systems, 58(3), 193-203. https://doi.org/10.1080/08874417.2016.1222891
  • Taşçı, G., & Çelebi, M. (2020). Eğitimde Yeni Paradigma: “Yükseköğretimde Yapay Zeka”. OPUS Uluslararası Toplum Araştırmaları Dergisi, 16(29), 2346-2370. https://doi.org/10.26466/opus.747634
  • Tehrani, A. N., Ray, S., Roy, S. K., Gruner, R. L., & Appio, F. P. (2024). Decoding AI Readiness: An In-depth Analysis of Key Dimensions in Multinational Corporations. Technovation, 131, 102948.
  • Tornatzky, L., Fleischer, M. & Alok, K. C. (1990). The Processes of Technological Innovation. Lexington: Lexington Books.
  • Tursunbayeva, A., & Gal, H. C. B. (2024). Adoption of Artificial Intelligence: A TOP Framework-based Checklist for Digital Leaders. Business Horizons, 67(4), 357-368.
  • Yurt, E., & Kasarci, I., (2024). A Questionnaire of Artificial Intelligence Use Motives: A Contribution to Investigating the Connection Between AI and Motivation. International Journal of Technology in Education, 7(2), 308-325.
There are 38 citations in total.

Details

Primary Language English
Subjects Finance, Business Administration
Journal Section Research Article
Authors

Sena Dönmez 0000-0000-0000-0000

Aslı Tuncay Çelikel 0000-0003-2973-5118

Yeşim Pınar Sarıca 0000-0001-8349-607X

Evrim İldem Develi 0000-0003-3842-8611

Publication Date July 30, 2025
Submission Date June 1, 2025
Acceptance Date June 15, 2025
Published in Issue Year 2025 Volume: 21 Issue: 1

Cite

APA Dönmez, S., Tuncay Çelikel, A., Sarıca, Y. P., Develi, E. İ. (2025). UNDERSTANDING AI ADOPTION AT ORGANIZATIONS: LITERATURE REVIEW OF TOE FRAMEWORK. PressAcademia Procedia, 21(1), 64-69. https://doi.org/10.17261/Pressacademia.2025.1994
AMA Dönmez S, Tuncay Çelikel A, Sarıca YP, Develi Eİ. UNDERSTANDING AI ADOPTION AT ORGANIZATIONS: LITERATURE REVIEW OF TOE FRAMEWORK. PAP. July 2025;21(1):64-69. doi:10.17261/Pressacademia.2025.1994
Chicago Dönmez, Sena, Aslı Tuncay Çelikel, Yeşim Pınar Sarıca, and Evrim İldem Develi. “UNDERSTANDING AI ADOPTION AT ORGANIZATIONS: LITERATURE REVIEW OF TOE FRAMEWORK”. PressAcademia Procedia 21, no. 1 (July 2025): 64-69. https://doi.org/10.17261/Pressacademia.2025.1994.
EndNote Dönmez S, Tuncay Çelikel A, Sarıca YP, Develi Eİ (July 1, 2025) UNDERSTANDING AI ADOPTION AT ORGANIZATIONS: LITERATURE REVIEW OF TOE FRAMEWORK. PressAcademia Procedia 21 1 64–69.
IEEE S. Dönmez, A. Tuncay Çelikel, Y. P. Sarıca, and E. İ. Develi, “UNDERSTANDING AI ADOPTION AT ORGANIZATIONS: LITERATURE REVIEW OF TOE FRAMEWORK”, PAP, vol. 21, no. 1, pp. 64–69, 2025, doi: 10.17261/Pressacademia.2025.1994.
ISNAD Dönmez, Sena et al. “UNDERSTANDING AI ADOPTION AT ORGANIZATIONS: LITERATURE REVIEW OF TOE FRAMEWORK”. PressAcademia Procedia 21/1 (July2025), 64-69. https://doi.org/10.17261/Pressacademia.2025.1994.
JAMA Dönmez S, Tuncay Çelikel A, Sarıca YP, Develi Eİ. UNDERSTANDING AI ADOPTION AT ORGANIZATIONS: LITERATURE REVIEW OF TOE FRAMEWORK. PAP. 2025;21:64–69.
MLA Dönmez, Sena et al. “UNDERSTANDING AI ADOPTION AT ORGANIZATIONS: LITERATURE REVIEW OF TOE FRAMEWORK”. PressAcademia Procedia, vol. 21, no. 1, 2025, pp. 64-69, doi:10.17261/Pressacademia.2025.1994.
Vancouver Dönmez S, Tuncay Çelikel A, Sarıca YP, Develi Eİ. UNDERSTANDING AI ADOPTION AT ORGANIZATIONS: LITERATURE REVIEW OF TOE FRAMEWORK. PAP. 2025;21(1):64-9.

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