Analisando a adoção da Inteligência Artificial em serviços bibliotecários modernos
uma perspectiva do Modelo de Aceitação de Tecnologia
DOI:
https://doi.org/10.1590/1808-5245.32.148462Palavras-chave:
inteligência artificial, serviços bibliotecários modernos, modelo de aceitação de tecnologia, bibliotecas digitais, interação humano-IAResumo
O principal objetivo desta pesquisa é analisar a adoção da Inteligência Artificial em serviços bibliotecários modernos sob a perspectiva do Modelo de Aceitação de Tecnologia. A incorporação de tecnologias de Inteligência Artificial às operações das bibliotecas tem o potencial de revolucionar a forma como a informação é gerenciada, recuperada e disponibilizada aos usuários. Esta metodologia delineia uma abordagem estruturada para analisar qualitativamente a literatura existente sobre a adoção da Inteligência Artificial em serviços bibliotecários modernos a partir da perspectiva do Modelo de Aceitação de Tecnologia. Ao sintetizar os resultados de diversos estudos, esta pesquisa busca fornecer insights valiosos sobre os fatores que influenciam a adoção da Inteligência Artificial e a aplicação do Modelo de Aceitação de Tecnologia nesse contexto. O estudo investiga a adoção e a aceitação de soluções baseadas em Inteligência Artificial em um ambiente bibliotecário contemporâneo, utilizando o Modelo de Aceitação de Tecnologia como referencial teórico. A pesquisa explora as percepções e atitudes de bibliotecários, funcionários e usuários em relação aos sistemas de suporte baseados em Inteligência Artificial nas bibliotecas, com foco especial na utilidade percebida, na facilidade de uso percebida, nas intenções comportamentais e no uso efetivo. O estudo também reflete sobre fatores regulatórios e variáveis externas que podem estimular a adoção da Inteligência Artificial em ambientes bibliotecários. Por meio de uma análise abrangente dos fatores do Modelo de Aceitação de Tecnologia no contexto da Inteligência Artificial e dos serviços de biblioteca, esta pesquisa oferece contribuições relevantes para bibliotecas que buscam implementar e aprimorar tecnologias de Inteligência Artificial para melhor atender suas comunidades. Além disso, o estudo fornece às bibliotecas orientações práticas e aplicáveis para integrar de forma eficaz tecnologias de Inteligência Artificial em seus serviços, promovendo maior eficiência, eficácia e satisfação dos usuários. A originalidade desta pesquisa reside na aplicação inovadora do Modelo de Aceitação de Tecnologia à adoção da Inteligência Artificial em serviços bibliotecários modernos. Ao abordar uma questão contemporânea com um referencial teórico robusto e ao apresentar dados empíricos, o estudo contribui com insights relevantes tanto para a comunidade acadêmica quanto para o campo profissional da Biblioteconomia. Destaca-se ainda por explorar áreas pouco investigadas, considerar variáveis específicas relacionadas à Inteligência Artificial e oferecer uma visão holística da adoção de tecnologias em bibliotecas.
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Referências
ABDUL RAHMAN, A. R.; MOHEZAR, S. Ensuring continued use of a digital library: a qualitative approach. The Electronic Library, Leeds, v. 38, n. 3, p. 513-530, 2020. Available at: https://doi.org/10.1108/EL-12-2019-0294. Access: Feb. 20th 2026.
ADETAYO, A. J. Artificial intelligence chatbots in academic libraries: the rise of ChatGPT. Library Hi Tech News, Leeds, v. 40, n. 3, p. 18-21, 2023a. Available at: https://doi.org/10.1108/LHTN-01-2023-0007. Access: Feb. 20th 2026.
ADETAYO, A. J. ChatGPT and librarians for reference consultations. Internet Reference Services Quarterly, London, v. 27, n. 3, p. 131-147, 2023b. Available at: https://doi.org/10.1080/10875301.2023.2203681. Access: Feb. 20th 2026.
AFFUM, M. Q.; DWOMOH, O. K. Investigating the potential impact of artificial intelligence in librarianship. Library Philosophy and Practice, Lincoln, p. 1-12, 2023.
AL-ADWAN, A. S. et al. Extending the technology acceptance model (TAM) to predict university students’ intentions to use metaverse-based learning platforms. Education and Information Technologies, New York, v. 28, p. 15381-15413, 2023. Available at: https://doi.org/10.1007/s10639-023-11816-3. Access: Feb. 20th 2026.
AL-AS’DI, A.; MILLER, D. Exploring the impact of artificial intelligence language model ChatGPT on the user experience. International Journal of Technology, Innovation and Management, Dubai, v. 3, n. 1, p. 1-8, 2023. Available at: https://doi.org/10.54489/ijtim.v3i1.195. Access: Feb. 20th 2026.
AMIN, M.; REZAEI, S.; ABOLGHASEMI, M. User satisfaction with mobile websites: the impact of perceived usefulness (PU), perceived ease of use (PEOU) and trust. Nankai Business Review International, Leeds, v. 5, n. 3, p. 258-274, 2014. Available at: https://doi.org/10.1108/NBRI-01-2014-0005. Access: Feb. 20th 2026.
BARSHA, S.; MUNSHI, S. A. Implementing artificial intelligence in library services: a review of current prospects and challenges of developing countries. Library Hi Tech News, Leeds, v. 41, n. 1, p. 7-10, 2024. Available at: https://doi.org/10.1108/LHTN-07-2023-0126. Access: Feb. 20th 2026.
BOGINA, V. et al. Educating software and AI stakeholders about algorithmic fairness, accountability, transparency and ethics. International Journal of Artificial Intelligence in Education, New York, v. 32, p. 808-833, 2022. Available at: https://doi.org/10.1007/s40593-021-00248-0. Access: Feb. 20th 2026.
BOZKURT, Z. Changing context of the workplace in the post-pandemic period: user-centric design and modern solutions. 2023. Tesi (Dottorato) - Scuola di Architettura Urbanistica Ingegneria delle Costruzioni, Milano, 2023.
CHAI, C. S. et al. Perceptions of and behavioral intentions towards learning artificial intelligence in primary school students. Educational Technology & Society, New Zealand, v. 24, n. 3, p. 89-101, 2021.
CHEN, Z. Artificial intelligence-virtual trainer: innovative didactics aimed at personalized training needs. Journal of the Knowledge Economy, New York, v. 14, n. 2, p. 2007-2025, 2023. Available at: https://doi.org/10.1007/s13132-022-00985-0. Access: Feb. 20th 2026.
EL RAYESS, M. A quick, accurate, and free-of-cost inventory and shelf-reading solution. Journal of Access Services, London, v. 12, n. 3-4, p. 104-117, 2015. Available at: https://doi.org/10.1080/15367967.2015.1096209. Access: Feb. 20th 2026.
ENHOLM, I. M. et al. Artificial intelligence and business value: a literature review. Information Systems Frontiers, New York, v. 24, p. 1709-1734, 2022. Available at: https://doi.org/10.1007/s10796-021-10186-w. Access: Feb. 20th 2026.
FERNANDEZ, P. Through the looking glass: envisioning new library technologies: understanding artificial intelligence. Library Hi Tech News, Leeds, v. 33, n. 3, p. 20-23, 2016. Available at: https://doi.org/10.1108/LHTN-03-2016-0013. Access: Feb. 20th 2026.
GRAZIA MELCHIONDA, M. Librarians in the age of the internet: their attitudes and roles: a literature review. New Library World, Leeds, v. 108, n. 3-4, p. 123-140, 2007. Available at: https://doi.org/10.1108/03074800710735339. Access: Feb. 20th 2026.
GUPTA, S. et al. Digital analytics: modeling for insights and new methods. Journal of Interactive Marketing, Amsterdam, v. 51, n. 1, p. 26-43, 2020. Available at: https://doi.org/10.1016/j.intmar.2020.04.003. Access: Feb. 20th 2026.
HIENERTH, C.; KEINZ, P.; LETTL, C. Exploring the nature and implementation process of user-centric business models. Long Range Planning, Amsterdam, v. 44, n. 5-6, p. 344-374, 2011. Available at: https://doi.org/10.1016/j.lrp.2011.09.009. Access: Feb. 20th 2026.
HONG, W. et al. Determinants of user acceptance of digital libraries: an empirical examination of individual differences and system characteristics. Journal of Management Information Systems, London, v. 18, n. 3, p. 97-124, 2002. Available at: https://doi.org/10.1080/07421222.2002.11045692. Access: Feb. 20th 2026.
HUSSAIN, A. Use of artificial intelligence in the library services: prospects and challenges. Library Hi Tech News, Leeds, v. 40, n. 2, p. 15-17, 2023. Available at: https://doi.org/10.1108/LHTN-11-2022-0125. Access: Feb. 20th 2026.
ISLAM, M. N.; ISLAM, M. M.; HOSSAIN, M. A. Exploring the role of public libraries in Bangladesh in the fourth industrial revolution era: readiness, challenges, and opportunities. Internet Reference Services Quarterly, London, v. 27, n. 4, p. 233-245, 2023. Available at: https://doi.org/10.1080/10875301.2023.2251470. Access: Feb. 20th 2026.
IZUAGBE, R. et al. Effect of perceived ease of use on librarians’ e-skills: basis for library technology acceptance intention. Library & Information Science Research, Amsterdam, v. 41, n. 3, art. 100969, p. 1-9, 2019. Available at: https://doi.org/10.1016/j.lisr.2019.100969. Access: Feb. 20th 2026.
IZUAGBE, R.; POPOOLA, S. O. Social influence and cognitive instrumental factors as facilitators of perceived usefulness of electronic resources among library personnel in private universities in South-west, Nigeria. Library Review, Leeds, v. 66, n. 8-9, p. 679-694, 2017. Available at: https://doi.org/10.1108/LR-09-2016-0086. Access: Feb. 20th 2026.
KATO, A.; KISANGIRI, M.; KAIJAGE, S. A review development of digital library resources at university level. Education Research International, New Jersey, v. 2021, p. 1-13, 2021. Available at: https://doi.org/10.1155/2021/8883483. Access: Feb. 20th 2026.
KELLY, S.; KAYE, S. A.; OVIEDO-TRESPALACIOS, O. What factors contribute to the acceptance of artificial intelligence? A systematic review. Telematics and Informatics, Amsterdam, v. 77, art. 101925, p. 1-33, 2023. Available at: https://doi.org/10.1016/j.tele.2022.101925. Access: Feb. 20th 2026.
KOMOSANY, N. B. A.; ALNWAIMI, G. R. Emerging technologies in academic libraries: artificial intelligence and big data. International Transaction Journal of Engineering, Management & Applied Sciences & Technologies, Thailand, v. 12, n. 4, p. 1-17, 2021. Available at: https://doi.org/10.14456/ITJEMAST.2021.74. Access: Feb. 20th 2026.
KUMAR, V.; RAJAN, B.; VENKATESAN, R.; LECINSKI, J. Understanding the role of artificial intelligence in personalized engagement marketing. California Management Review, Thousand Oaks, v. 61, n. 4, p. 135-155, 2019. Available at: https://doi.org/10.1177/0008125619859317. Access: Feb. 20th 2026.
LARCKER, D. F.; LESSIG, V. P. Perceived usefulness of information: a psychometric examination. Decision Sciences, New Jersey, v. 11, n. 1, p. 121-134, 1980. Available at: https://doi.org/10.1111/j.1540-5915.1980.tb01130.x. Access: Feb. 20th 2026.
LI, R. et al. AuRoSS: an autonomous robotic shelf scanning system. In: IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, 2015, Hamburg. Proceedings [...]. New York: IEEE, 2015. p. 6100-6105.
LINS, S. et al. Artificial intelligence as a service: classification and research directions. Business & Information Systems Engineering, New York, v. 63, p. 441-456, 2021. Available at: https://doi.org/10.1007/s12599-021-00708-w. Access: Feb. 20th 2026.
MIKALEF, P.; GUPTA, M. Artificial intelligence capability: conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance. Information & Management, Amsterdam, v. 58, n. 3, art. 103434, p. 1-20, 2021. Available at: https://doi.org/10.1016/j.im.2021.103434. Access: Feb. 20th 2026.
MOHR, S.; KÜHL, R. Acceptance of artificial intelligence in German agriculture: an application of the technology acceptance model and the theory of planned behavior. Precision Agriculture, New York, v. 22, n. 6, p. 1816-1844, 2021. Available at: https://doi.org/10.1007/s11119-021-09814-x. Access: Feb. 20th 2026.
MORRAR, R.; ARMAN, H.; MOUSA, S. The fourth industrial revolution (Industry 4.0): a social innovation perspective. Technology Innovation Management Review, Ottawa, v. 7, n. 11, p. 12-20, 2017. Available at: https://doi.org/10.22215/timreview/1117. Access: Feb. 20th 2026.
OKUNLAYA, R. O.; SYED ABDULLAH, N.; ALIAS, R. A. Artificial intelligence (AI) library services innovative conceptual framework for the digital transformation of university education. Library Hi Tech, Leeds, v. 40, n. 6, p. 1869-1892, 2022. Available at: https://doi.org/10.1108/LHT-07-2021-0242. Access: Feb. 20th 2026.
ONGSULEE, P. Artificial intelligence, machine learning and deep learning. In: INTERNATIONAL CONFERENCE ON ICT AND KNOWLEDGE ENGINEERING, 15., 2017. Proceedings [...]. New York: IEEE, 2017. p. 1-6.
PANDA, S.; CHAKRAVARTY, R. Adapting intelligent information services in libraries: A case of smart AI chatbots. Library Hi Tech News, Leeds, v. 39, n. 1, p. 12-15, 2022. Available at: https://doi.org/10.1108/LHTN-11-2021-0081. Access: Feb. 20th 2026.
PIERRE-ROBERTSON, P. #SuperLibrarian - the evolving role of librarians in technology spaces. Digital Library Perspectives, Leeds, v. 39, n. 4, p. 620-627, 2023. Available at: https://doi.org/10.1108/DLP-04-2023-0026. Access: Feb. 20th 2026.
RAFI, M.; JIAN MING, Z.; AHMAD, K. Estimation of the knowledge management model for performance measurement in university libraries. Library Hi Tech, Leeds, v. 40, n. 1, p. 239-264, 2022. Available at: https://doi.org/10.1108/LHT-11-2019-0225. Access: Feb. 20th 2026.
SADRIWALA, M. F.; SADRIWALA, K. F. Perceived usefulness and ease of use of artificial intelligence on marketing innovation. International Journal of Innovation in the Digital Economy, Hershey, v. 13, n. 1, p. 1-10, 2022. Available at: https://doi.org/10.4018/IJIDE.292010. Access: Feb. 20th 2026.
SCHWITZGEBEL, E. AI systems must not confuse users about their sentience or moral status. Patterns, Amsterdam, v. 4, n. 8, p. 1-4, 2023. Available at: https://doi.org/10.1016/j.patter.2023.100818. Access: Feb. 20th 2026.
SHAHEEN, M. A.; KHURSHID, A. Perceptions and experiences of artificial intelligence (AI) use in libraries: a study of library users in Pakistan. Library Philosophy and Practice, Lincoln, n. 7905, p. 1-13, 2023.
SILVA, P. Davis’ technology acceptance model (TAM) (1989). In: AL-SUQRI, Mohammed Nasser; AL-AUFI, Ali Saif (ed.). Information seeking behavior and technology adoption: theories and trends. Hershey: IGI Global Scientific, 2015. p. 205-219.
SINGAMANENI, K. K. et al. An enhanced dynamic nonlinear polynomial integrity-based QHCP-ABE framework for big data privacy and security. Security and Communication Networks, New Jersey, p. 1-13, 2022. Available at: https://doi.org/10.1155/2022/4206000. Access: Feb. 20th 2026.
SLATER, R. Why aren’t e-books gaining more ground in academic libraries? E-book use and perceptions: a review of published literature and research. Journal of Web Librarianship, London, v. 4, n. 4, p. 305-331, 2010. Available at: https://doi.org/10.1080/19322909.2010.525419. Access: Feb. 20th 2026.
SUBAVEERAPANDIYAN, A. Application of artificial intelligence (AI) in libraries and its impact on library operations review. Library Philosophy and Practice, Lincoln, n. 7828, p. 1-19, 2023.
SUKI, N. M.; SUKI, N. M. Exploring the relationship between perceived usefulness, perceived ease of use, perceived enjoyment, attitude and subscribers’ intention towards using 3G mobile services. Journal of Information Technology Management, Baltimore, v. 22, n. 1, p. 1-7, 2011.
TSAI, T. H.; LIN, W. Y.; CHANG, Y. S.; CHANG, P. C.; LEE, M. Y. Technology anxiety and resistance to change behavioral study of a wearable cardiac warming system using an extended TAM for older adults. PLoS ONE, San Francisco, v. 15, n. 1, p. 1-24, 2020. Available at: https://doi.org/10.1371/journal.pone.0227270. Access: Feb. 20th 2026.
USMAN, O.; SEPTIANTI, A.; SUSITA, M.; MARSOFIYATI, M. The effect of computer self-efficacy and subjective norm on the perceived usefulness, perceived ease of use and behavioural intention to use technology. Journal of Southeast Asian Research, Pennsylvania, v. 2020, p. 1-11, 2020. Available at: https://doi.org/10.5171/2020.753259. Access: Feb. 20th 2026.
WANG, C. et al. An empirical evaluation of technology acceptance model for artificial intelligence in e-commerce. Heliyon, Amsterdam, v. 9, n. 8, p. 1-20, 2023. Available at: https://doi.org/10.1016/j.heliyon.2023.e18349. Access: Feb. 20th 2026.
WANG, T. et al. Exploring the potential impact of artificial intelligence (AI) on international students in higher education: generative AI, chatbots, analytics, and international student success. Applied Sciences, Basel, v. 13, n. 11, p. 6716, 2023. Available at: https://doi.org/10.3390/app13116716. Access: Feb. 20th 2026.
XU, M.; DAVID, J. M.; KIM, S. H. The fourth industrial revolution: opportunities and challenges. International Journal of Financial Research, Ontario, v. 9, n. 2, p. 90-95, 2018. Available at: https://doi.org/10.5430/ijfr.v9n2p90. Access: Feb. 20th 2026.
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