Organizational Readiness to Adopt Artificial Intelligence in the Library and Information Sector of Pakistan
Objective – This study investigates the readiness for artificial intelligence (AI) adoption in library and information centres of Pakistani universities. The projected outcomes of this study are expected to contribute to the development of best practices for effectively motivating university admini...
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| Format: | Article |
| Language: | English |
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University of Alberta
2024-03-01
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| Series: | Evidence Based Library and Information Practice |
| Online Access: | https://journals.library.ualberta.ca/eblip/index.php/EBLIP/article/view/30408 |
| _version_ | 1797258794734977024 |
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| author | Saeed Ullah Jan Muhammad Sajjad Ali Khan Ali Saeed Khan |
| author_facet | Saeed Ullah Jan Muhammad Sajjad Ali Khan Ali Saeed Khan |
| author_sort | Saeed Ullah Jan |
| collection | DOAJ |
| description |
Objective – This study investigates the readiness for artificial intelligence (AI) adoption in library and information centres of Pakistani universities. The projected outcomes of this study are expected to contribute to the development of best practices for effectively motivating university administrators and preparing librarians for adopting AI in library and information centres.
Methods – A theoretical framework combining the technology-organization-environment (TOE) framework and the Technology Readiness Index (TRI) guided this qualitative study. Interviews were conducted with 27 senior representatives, including library managers and registrars, from 27 universities across four provinces and the capital city, Islamabad. A systematic approach was employed to analyze the data.
Results – The findings indicate that the concept of AI adoption in Pakistani university libraries is new. The library and information sector of Pakistan is slow in adopting AI, which could have implications for its future competitiveness, despite the push for AI adoption by university librarians and administrators. The readiness for AI adoption in this sector is influenced by factors such as organizational technological practices, financial resources, university size, and data management and protection concerns.
Conclusion – Library managers and researchers can implement the TOE framework and TRI scale to facilitate AI adoption in a manner that is relevant to library and information settings in Pakistan as well as other parts of the world. Our research indicates that most adoptions are still in their nascent phases, and numerous library managers feel uneasy due to either uncertainties about the precise benefits AI can bring to their libraries or a lack of knowledge and skills for its effective implementation. To manage the networks of internal and external stakeholders essential for successful AI adoption, universities should consider appointing individuals with a specialized knowledge of AI within their libraries.
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| first_indexed | 2024-04-24T22:59:12Z |
| format | Article |
| id | doaj.art-7b725f6fbf424a2dbdd112c656db5cd8 |
| institution | Directory Open Access Journal |
| issn | 1715-720X |
| language | English |
| last_indexed | 2024-04-24T22:59:12Z |
| publishDate | 2024-03-01 |
| publisher | University of Alberta |
| record_format | Article |
| series | Evidence Based Library and Information Practice |
| spelling | doaj.art-7b725f6fbf424a2dbdd112c656db5cd82024-03-17T17:41:23ZengUniversity of AlbertaEvidence Based Library and Information Practice1715-720X2024-03-0119110.18438/eblip30408Organizational Readiness to Adopt Artificial Intelligence in the Library and Information Sector of PakistanSaeed Ullah Jan0https://orcid.org/0000-0003-4191-0492Muhammad Sajjad Ali Khan1https://orcid.org/0000-0003-3683-6582Ali Saeed Khan2Khushal Khan Khattak University Karak, Karak, Khyber Pakhtunkhwa, PakistanKhushal Khan Khattak University Karak, Karak, Khyber Pakhtunkhwa, PakistanUniversity of Peshawar, Peshawar, Khyber Pakhtunkhwa, Pakistan Objective – This study investigates the readiness for artificial intelligence (AI) adoption in library and information centres of Pakistani universities. The projected outcomes of this study are expected to contribute to the development of best practices for effectively motivating university administrators and preparing librarians for adopting AI in library and information centres. Methods – A theoretical framework combining the technology-organization-environment (TOE) framework and the Technology Readiness Index (TRI) guided this qualitative study. Interviews were conducted with 27 senior representatives, including library managers and registrars, from 27 universities across four provinces and the capital city, Islamabad. A systematic approach was employed to analyze the data. Results – The findings indicate that the concept of AI adoption in Pakistani university libraries is new. The library and information sector of Pakistan is slow in adopting AI, which could have implications for its future competitiveness, despite the push for AI adoption by university librarians and administrators. The readiness for AI adoption in this sector is influenced by factors such as organizational technological practices, financial resources, university size, and data management and protection concerns. Conclusion – Library managers and researchers can implement the TOE framework and TRI scale to facilitate AI adoption in a manner that is relevant to library and information settings in Pakistan as well as other parts of the world. Our research indicates that most adoptions are still in their nascent phases, and numerous library managers feel uneasy due to either uncertainties about the precise benefits AI can bring to their libraries or a lack of knowledge and skills for its effective implementation. To manage the networks of internal and external stakeholders essential for successful AI adoption, universities should consider appointing individuals with a specialized knowledge of AI within their libraries. https://journals.library.ualberta.ca/eblip/index.php/EBLIP/article/view/30408 |
| spellingShingle | Saeed Ullah Jan Muhammad Sajjad Ali Khan Ali Saeed Khan Organizational Readiness to Adopt Artificial Intelligence in the Library and Information Sector of Pakistan Evidence Based Library and Information Practice |
| title | Organizational Readiness to Adopt Artificial Intelligence in the Library and Information Sector of Pakistan |
| title_full | Organizational Readiness to Adopt Artificial Intelligence in the Library and Information Sector of Pakistan |
| title_fullStr | Organizational Readiness to Adopt Artificial Intelligence in the Library and Information Sector of Pakistan |
| title_full_unstemmed | Organizational Readiness to Adopt Artificial Intelligence in the Library and Information Sector of Pakistan |
| title_short | Organizational Readiness to Adopt Artificial Intelligence in the Library and Information Sector of Pakistan |
| title_sort | organizational readiness to adopt artificial intelligence in the library and information sector of pakistan |
| url | https://journals.library.ualberta.ca/eblip/index.php/EBLIP/article/view/30408 |
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