IA como facilitadora de creatividad y bienestar en estudiantes de negocios: un enfoque multigrupo entre universidades públicas y privadas
DOI:
https://doi.org/10.5007/1518-2924.2025.e103485Palabras clave:
Adopción de IA, Utilidad percibida, Creatividad, Felicidad, Educación universitariaResumen
Objetivo: Este artículo tiene como objetivo explorar el efecto de la adaptabilidad percibida, la utilidad percibida y la facilidad de uso de la IA en la creatividad y la felicidad (felicidad) de estudiantes de la carrera de negocios en universidades de México. Asymism busca analizar cómo estas relaciones pueden diferir entre estudiantes de universidades públicas y privadas, utilizando un enfoque multigrupal.
Método: Se adoptó un enfoque experimental cuantitativo, con un diseño transversal. La muestra estuvo compuesta por 270 estudiantes universitarios de carreras de negocios, distribuidos entre una universidad pública y una privada de México. La recopilación de datos se llevó a cabo a través de un cuestionario en línea, utilizando escalas previamente validadas para medir la utilidad percibida, la facilidad de uso, la adopción de IA, la creatividad y la felicidad. Los datos se analizaron mediante mediciones estructurales (SEM) y análisis multigrupo (MGA) para evaluar las diferencias entre los grupos.
Resultados: Los principales hallazgos indican que la adopción de IA media significativamente la relación entre la utilidad percibida, la facilidad de uso percibida y los resultados en términos de creatividad y bienestar. Se encontró una mayor influencia de la adopción de IA en la creatividad en instituciones públicas, mientras que en las privadas el impacto fue más fuerte sobre la felicidad. Estas diferencias sugieren que, en contextos con recursos limitados, la IA puede compensar la falta de otros recursos, potenciando la creatividad.
Conclusión: Este estudio aporta una ampliación del Technology Acceptance Model (TAM) al incluir variables como la creatividad y la felicidad, destacando la importancia del contexto socioeconómico en la adopción tecnológica en universidades. Las implicaciones sugieren que las instituciones públicas deben centrarse en mejorar el acceso a tecnologías como la IA, mientras que las privadas deben asegurar un uso ético y responsable que promueva tanto el rendimiento académico como el bienestar emocional de los estudiantes.
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AJZEN, I. The theory of planned behavior. Organizational Behavior and Human Decision Processes, v. 50, n. 2, p. 179–211, 1991. Disponível em: https://doi.org/10.1016/0749-5978(91)90020-t. Acesso em: 2 jul. 2024.
ALAMRI, H. A.; WATSON, S.; WATSON, W. Learning Technology Models that Support Personalization within Blended Learning Environments in Higher Education. TechTrends, v. 65, n. 1, p. 62–78, 2020. Disponível em: https://doi.org/10.1007/s11528-020-00530-3. Acesso em: 5 jul. 2024.
AL-SHARAFI, M. A. et al. Understanding the Impact of Knowledge Management Factors on the Sustainable Use of AI-Based Chatbots for Educational Purposes Using a Hybrid SEM-ANN Approach. Interactive Learning Environments, v. 31, n. 10, p. 7491–7510, 2022. Disponível em: https://doi.org/10.1080/10494820.2022.2075014. Acesso em: 8 jul. 2024.
ÁLVAREZ-HUERTA, P.; MUELA, A.; LARREA, I. Student Engagement and Creative Confidence Beliefs in Higher Education. Thinking Skills and Creativity, v. 40, p. 100821, 2021. Disponível em: https://doi.org/10.1016/j.tsc.2021.100821. Acesso em: 12 jul. 2024.
AMIRI, M. et al. Creativity and Its Determinants Among Medical Students. Journal of Education and Health Promotion, v. 9, n. 1, p. 320, 2020. Disponível em: https://doi.org/10.4103/jehp.jehp_279_20. Acesso em: 15 jul. 2024.
ANDERSON, R. C. et al. Generating Buoyancy in a Sea of Uncertainty: Teachers Creativity and Well-Being During the COVID-19 Pandemic. Frontiers in Psychology, v. 11, 2021. Disponível em: https://doi.org/10.3389/fpsyg.2020.614774. Acesso em: 18 jul. 2024.
ARDELEAN, T.; VERES, E. Students Perceptions of Artificial Intelligence in Higher Education. SWS International Scientific Conference on Social Sciences, v. 10, p. 1–11, 2023. Disponível em: https://doi.org/10.35603/sws.iscss.2023/s08.38. Acesso em: 22 jul. 2024.
BAHROUN, Z. et al. Transforming Education: A Comprehensive Review of Generative Artificial Intelligence in Educational Settings through Bibliometric and Content Analysis. Sustainability, v. 15, n. 17, p. 12983, 2023. Disponível em: https://doi.org/10.3390/su151712983. Acesso em: 25 jul. 2024.
BARTLETT, M. S. A Note on the Multiplying Factors for Various χ² Approximations. Journal of the Royal Statistical Society Series B (Methodological), v. 16, n. 2, p. 296–298, 1954. Disponível em: https://doi.org/10.1111/j.2517-6161.1954.tb00174.x. Acesso em: 29 jul. 2024.
BENEVE, P.; DE STASIO, S.; FIORILLI, C. Editorial: Well-Being of School Teachers in Their Work Environment. Frontiers in Psychology, v. 11, 2020. Disponível em: https://doi.org/10.3389/fpsyg.2020.01239. Acesso em: 1 ago. 2024.
BITAR, N.; DAVIDOVICH, N. Transforming Pedagogy: The Digital Revolution in Higher Education. Education Sciences, v. 14, n. 8, p. 811, 2024. Disponível em: https://doi.org/10.3390/educsci14080811. Acesso em: 4 ago. 2024.
BRUNETTI, D.; GENA, C.; VERNERO, F. Smart Interactive Technologies in the Human-Centric Factory 5.0: A Survey. Applied Sciences, v. 12, n. 16, p. 7965, 2022. Disponível em: https://doi.org/10.3390/app12167965. Acesso em: 7 ago. 2024.
CALAVIA, M. B.; BLANCO, T.; CASAS, R. Fostering Creativity as a Problem-Solving Competence Through Design: Think-Create-Learn, a Tool for Teachers. Thinking Skills and Creativity, v. 39, p. 100761, 2020. Disponível em: https://doi.org/10.1016/j.tsc.2020.100761. Acesso em: 10 ago. 2024.
CAO, G. et al. Understanding Managers’ Attitudes and Behavioral Intentions Towards Using Artificial Intelligence for Organizational Decision-Making. Technovation, v. 106, p. 102312, 2021. Disponível em: https://doi.org/10.1016/j.technovation.2021.102312. Acesso em: 13 ago. 2024.
CASINILLO, L. Is Learning Mathematics Still Creative and Enjoyable During the COVID-19 Pandemic? Indonesian Journal of Social Research (IJSR), v. 4, n. 2, p. 124–138, 2022. Disponível em: https://doi.org/10.30997/ijsr.v4i2.208. Acesso em: 16 ago. 2024.
CHATTERJEE, S.; BHATTACHARJEE, K. K. Adoption of Artificial Intelligence in Higher Education: A Quantitative Analysis Using Structural Equation Modelling. Education and Information Technologies, v. 25, n. 5, p. 3443–3463, 2020. Disponível em: https://doi.org/10.1007/s10639-020-10159-7. Acesso em: 20 ago. 2024.
CHIN, W. W. The Partial Least Squares Approach for Structural Equation Modeling. Modern Methods for Business Research, p. 295–336, 1998. Disponível em: https://psycnet.apa.org/record/1998-07269-010. Acesso em: 24 ago. 2024.
CHOUNTA, I.; BARDONE, E.; RAUDSEP, A.; PEDASTE, M. Exploring Teachers’ Perceptions of Artificial Intelligence as a Tool to Support Their Practice in Estonian K-12 Education. International Journal of Artificial Intelligence in Education, v. 32, n. 3, p. 725–755, 2021. Disponível em: https://doi.org/10.1007/s40593-021-00243-5. Acesso em: 27 ago. 2024.
DAI, Y.; CHAI, C.; LIN, P.; JONG, M. S.; GUO, Y.; QIN, J. Promoting Students’ Well-Being by Developing Their Readiness for the Artificial Intelligence Age. Sustainability, v. 12, n. 16, p. 6597, 2020. Disponível em: https://doi.org/10.3390/su12166597. Acesso em: 30 ago. 2024.
DAMERJI, H.; SALIMI, A. Mediating Effect of Use Perceptions on Technology Readiness and Adoption of Artificial Intelligence in Accounting. Accounting Education, v. 30, n. 2, p. 107–130, 2021. Disponível em: https://doi.org/10.1080/09639284.2021.1872035. Acesso em: 3 set. 2024.
DARAYSEH, A. A. Acceptance of Artificial Intelligence in Teaching Science: Science Teachers’ Perspective. Computers and Education Artificial Intelligence, v. 4, p. 100132, 2023. Disponível em: https://doi.org/10.1016/j.caeai.2023.100132. Acesso em: 6 set. 2024.
DAVIS, F. D. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, v. 13, n. 3, p. 319, 1989. Disponível em: https://doi.org/10.2307/249008. Acesso em: 9 set. 2024.
DE MELLO SILVA, M. F.; DE VARGAS, E. R. Quality Assurance Systems: Enemies or Allies of Innovation in Higher Education Institutions?. Quality Assurance in Education, v. 30, n. 1, p. 1–18, 2021. Disponível em: https://doi.org/10.1108/qae-09-2020-0116. Acesso em: 12 set. 2024.
DIENER, E. Subjective Well-Being: The Science of Happiness and a Proposal for a National Index. American Psychologist, v. 55, n. 1, p. 34–43, 2000. Disponível em: https://doi.org/10.1037/0003-066x.55.1.34. Acesso em: 15 set. 2024.
DIPONEGRO, A. M.; HANURAWAN, F. Creativity, Curiosity, Open Mindedness, Love of Learning, and Perspective Character Strengths in Students’ Wellbeing During the COVID-19 Pandemic. KnE Social Sciences, 2022. Disponível em: https://doi.org/10.18502/kss.v7i1.10203. Acesso em: 18 set. 2024.
GADO, S.; KEMPEN, R.; LINGELBACH, K.; BIPP, T. Artificial Intelligence in Psychology: How Can We Enable Psychology Students to Accept and Use Artificial Intelligence?. Psychology Learning & Teaching, v. 21, n. 1, p. 37–56, 2021. Disponível em: https://doi.org/10.1177/14757257211037149. Acesso em: 22 set. 2024.
GALLAGHER, M.; BREINES, M. Surfacing Knowledge Mobilities in Higher Education: Reconfiguring the Teacher Function Through Automation. Learning Media and Technology, v. 46, n. 1, p. 78–90, 2020. Disponível em: https://doi.org/10.1080/17439884.2021.1823411. Acesso em: 25 set. 2024.
GHOBAKHLOO, M. et al. Behind the Definition of Industry 5.0: A Systematic Review of Technologies, Principles, Components, and Values. Journal of Industrial and Production Engineering, v. 40, n. 6, p. 432–447, 2023. Disponível em: https://doi.org/10.1080/21681015.2023.2216701. Acesso em: 1 out. 2024.
GHOBAKHLOO, M. Industry 4.0, Digitization, and Opportunities for Sustainability. Journal of Cleaner Production, v. 252, p. 119869, 2019. Disponível em: https://doi.org/10.1016/j.jclepro.2019.119869. Acesso em: 28 set. 2024.
GOULART, V. G.; LIBONI, L. B.; CEZARINO, L. O. Balancing Skills in the Digital Transformation Era: The Future of Jobs and the Role of Higher Education. Industry and Higher Education, v. 36, n. 2, p. 118–127, 2021. Disponível em: https://doi.org/10.1177/09504222211029796. Acesso em: 4 out. 2024.
HAIM, K.; ASCHAUER, W. Innovative FOCUS: A Program to Foster Creativity and Innovation in the Context of Education for Sustainability. Sustainability, v. 16, n. 6, p. 2257, 2024. Disponível em: https://doi.org/10.3390/su16062257. Acesso em: 7 out. 2024.
HAIR, J. F.; BLACK, W. C.; BABIN, B. J.; ANDERSON, R. E. Multivariate Data Analysis. 7. ed. Pearson, 2014.
HENSER, J.; RINGLE, C. M.; SARSETTED, M. A New Criterion for Assessing Discriminant Validity in Variance-Based Structural Equation Modeling. Journal of the Academy of Marketing Science, v. 43, n. 1, p. 115–135, 2014. Disponível em: https://doi.org/10.1007/s11747-014-0403-8. Acesso em: 10 out. 2024.
HOLMES, W.; ANASTOPOULOU, S. What Do Students at Distance Universities Think About AI?. Proceedings of the Sixth (2019) ACM Conference on Learning, 2019. Disponível em: https://doi.org/10.1145/3330430.3333659. Acesso em: 13 out. 2024.
HOMBURG, C.; KLARMANN, M.; SCHMITT, J. Handbook of Market Research. Springer, 2021. Disponível em: https://doi.org/10.1007/978-3-319-57413-4. Acesso em: 16 out. 2024.
IVANOV, S.; SOLIMAN, M.; TUOMI, A.; ALKATHIRI, N. A.; AL-ALAWI, A. N. Drivers of Generative AI Adoption in Higher Education Through the Lens of the Theory of Planned Behaviour. Technology in Society, v. 77, p. 102521, 2024. Disponível em: https://doi.org/10.1016/j.techsoc.2024.102521. Acesso em: 19 out. 2024.
JAVAID, M.; HALEEM, A.; SINGH, R. P.; SUMAN, R.; GONZALEZ, E. S. Understanding the Adoption of Industry 4.0 Technologies in Improving Environmental Sustainability. Sustainable Operations and Computers, v. 3, p. 203–217, 2022. Disponível em: https://doi.org/10.1016/j.susoc.2022.01.008. Acesso em: 22 out. 2024.
KAISER, H. F. An Index of Factorial Simplicity. Psychometrika, v. 39, n. 1, p. 31–36, 1974. Disponível em: https://doi.org/10.1007/bf02291575. Acesso em: 25 out. 2024.
KAR, A. K.; KUSHWAHA, A. K. Facilitators and Barriers of Artificial Intelligence Adoption in Business – Insights from Opinions Using Big Data Analytics. Information Systems Frontiers, v. 25, n. 4, p. 1351–1374, 2021. Disponível em: https://doi.org/10.1007/s10796-021-10219-4. Acesso em: 28 out. 2024.
KAYA, M.; ERDEM, C. Students’ Well-Being and Academic Achievement: A Meta-Analysis Study. Child Indicators Research, v. 14, n. 5, p. 1743–1767, 2021. Disponível em: https://doi.org/10.1007/s12187-021-09821-4. Acesso em: 31 out. 2024.
KHINE, M. S. Application of Structural Equation Modeling in Educational Research and Practice. Springer Science & Business Media, 2013.
KIM, J. Effects of Creative School Environments and Future Goals on Children’s Creativity: The Mediating Effects of Perceived Happiness. Korean Society for Creativity Education, v. 22, n. 3, p. 23–39, 2022. Disponível em: https://doi.org/10.36358/jce.2022.22.3.23. Acesso em: 3 nov. 2024.
KIM, J.; MERRILL, K., JR.; COLLINS, C. AI as a Friend or Assistant: The Mediating Role of Perceived Usefulness in Social AI vs. Functional AI. Telematics and Informatics, v. 64, p. 101694, 2021. Disponível em: https://doi.org/10.1016/j.tele.2021.101694. Acesso em: 6 nov. 2024.
KIM, T.; USMAN, U.; GARVEY, A.; DUHACHEK, A. Artificial Intelligence in Marketing and Consumer Behavior Research. Journal not provided, 2023.
LEEDDY, M.; MCCREANOR, N. The Potential Utilisation of Artificial Intelligence (AI) in Enterprises. International Journal of Innovation and Economic Development, v. 9, n. 6, p. 7–21, 2024. Disponível em: https://doi.org/10.18775/ijied.1849-7551-7020.2015.96.2003. Acesso em: 9 nov. 2024.
LIANG, N.; SARAF, N.; HU, N.; XUE, N. Assimilation of Enterprise Systems: The Effect of Institutional Pressures and the Mediating Role of Top Management. MIS Quarterly, v. 31, n. 1, p. 59, 2018. Disponível em: https://doi.org/10.2307/25148781. Acesso em: 10 nov. 2024.
LIU, Y. et al. Generative Artificial Intelligence and Its Applications in Materials Science: Current Situation and Future Perspectives. Journal of Materiomics, v. 9, n. 4, p. 798–816, 2023. Disponível em: https://doi.org/10.1016/j.jmat.2023.05.001. Acesso em: 10 nov. 2024.
MAHMOOD, T.; MUBARIK, M. S. Balancing Innovation and Exploitation in the Fourth Industrial Revolution: Role of Intellectual Capital and Technology Absorptive Capacity. Technological Forecasting and Social Change, v. 160, p. 120248, 2020. Disponível em: https://doi.org/10.1016/j.techfore.2020.120248. Acesso em: 12 out. 2024.
MORRIS, T. H.; KÖNIG, P. D. Self-Directed Experiential Learning to Meet Ever-Changing Entrepreneurship Demands. Education + Training, v. 63, n. 1, p. 23–49, 2020. Disponível em: https://doi.org/10.1108/et-09-2019-0209. Acesso em: 15 out. 2024.
NÚÑEZ-CANAL, M.; DE LAS MERCEDES DE OBESSO, M.; PÉREZ-RIVERO, C. A. New Challenges in Higher Education: A Study of the Digital Competence of Educators in Covid Times. Technological Forecasting and Social Change, v. 174, p. 121270, 2021. Disponível em: https://doi.org/10.1016/j.techfore.2021.121270. Acesso em: 18 out. 2024.
OKOYE, K. et al. Impact of Digital Technologies Upon Teaching and Learning in Higher Education in Latin America: An Outlook on the Reach, Barriers, and Bottlenecks. Education and Information Technologies, v. 28, n. 2, p. 2291–2360, 2022. Disponível em: https://doi.org/10.1007/s10639-022-11214-1. Acesso em: 21 out. 2024.
OKUNLAYA, R. O.; ABDULLAH, N. S.; ALIAS, R. A. Artificial Intelligence (AI) Library Services Innovative Conceptual Framework for the Digital Transformation of University Education. Library Hi Tech, v. 40, n. 6, p. 1869–1892, 2022. Disponível em: https://doi.org/10.1108/lht-07-2021-0242. Acesso em: 24 out. 2024.
ÖZTEMEL, K.; YILDIZ-AKYOL, E. The predictive role of happiness, social support, and future time orientation in career adaptability. Journal of Career Development, v. 48, n. 3, p. 199–212, 2019. Disponível em: https://doi.org/10.1177/0894845319840437. Acesso em: 27 out. 2024.
PILLAI, R.; SIVATHANU, B. Adoption of AI-Based Chatbots for Hospitality and Tourism. International Journal of Contemporary Hospitality Management, v. 32, n. 10, p. 3199–3226, 2020. Disponível em: https://doi.org/10.1108/ijchm-04-2020-0259. Acesso em: 30 out. 2024.
RAHMAN, M.; MING, T. H.; BAIH, T. A.; SARKER, M. Adoption of Artificial Intelligence in Banking Services: An Empirical Analysis. International Journal of Emerging Markets, v. 18, n. 10, p. 4270–4300, 2021. Disponível em: https://doi.org/10.1016/j.ijoem.2020.07.019. Acesso em: 2 nov. 2024.
RIBEIRO, J.; LIMA, R.; ECKHARDT, T.; PAIVA, S. Robotic Process Automation and Artificial Intelligence in Industry 4.0 – A Literature Review. Procedia Computer Science, v. 181, p. 51–58, 2021. Disponível em: https://doi.org/10.1016/j.procs.2021.01.104. Acesso em: 5 nov. 2024.
RODRÍGUEZ-ABITIA, G.; MARTÍNEZ-PÉREZ, S.; RAMIREZ-MONTOYA, M. S.; LOPEZ-CAUDANA, E. Digital Gap in Universities and Challenges for Quality Education: A Diagnostic Study in Mexico and Spain. Sustainability, v. 12, n. 21, p. 9069, 2020. Disponível em: https://doi.org/10.3390/su12219069. Acesso em: 7 nov. 2024.
SALAZAR-ALTAMIRANO, M. A.; GALVÁN-VELA, E.; RAVINA-RIPOLL, R.; BELLO-CAMPUZANO, M. R. Exploring job satisfaction in fitness franchises: a study from a human talent perspective. BMC Psychology, v. 12, n. 1, 2024. Disponível em: https://doi.org/10.1186/s40359-024-01855-x. Acesso em: 8 nov. 2024.
SALVADORINHO, J.; TEIXEIRA, L. Happy and Engaged Workforce in Industry 4.0: A New Concept of Digital Tool for HR Based on Theoretical and Practical Trends. Sustainability, v. 15, n. 3, p. 2781, 2023. Disponível em: https://doi.org/10.3390/su15032781. Acesso em: 9 nov. 2024.
SHETU, S. F. et al. Impactful E-Learning Framework: A New Hybrid Form of Education. Current Research in Behavioral Sciences, v. 2, p. 100038, 2021. Disponível em: https://doi.org/10.1016/j.crbeha.2021.100038. Acesso em: 10 nov. 2024.
SKRZYPIEC, G. et al. A Global Study of the Wellbeing of Adolescent Students During the COVID-19 2020 Lockdown. School Mental Health, 2024. Disponível em: https://doi.org/10.1007/s12310-024-09678-2. Acesso em: 10 out. 2024.
SOLEKHAH, H. Indonesian Secondary School Students’ Happiness at the Beginning of Covid-19 Pandemic. International Journal of Theory and Application in Elementary and Secondary School Education, v. 3, n. 1, p. 1–14, 2021. Disponível em: https://doi.org/10.31098/ijtaese.v3i1.401. Acesso em: 12 out. 2024.
STOCKINGER, K.; RINAS, R.; DAUMILLER, M. Student Adaptability, Emotions, and Achievement: Navigating New Academic Terrains in a Global Crisis. Learning and Individual Differences, v. 90, p. 102046, 2021. Disponível em: https://doi.org/10.1016/j.lindif.2021.102046. Acesso em: 15 out. 2024.
TAN, C.; TAN, S.; HASHIM, I. H. M.; LEE, M.; ONG, A. W.; YAACOB, S. N. B. Problem-Solving Ability and Stress Mediate the Relationship Between Creativity and Happiness. Creativity Research Journal, v. 31, n. 1, p. 15–25, 2019. Disponível em: https://doi.org/10.1080/10400419.2019.1568155. Acesso em: 17 out. 2024.
THORNHILL-MILLER, B. et al. Creativity, Critical Thinking, Communication, and Collaboration: Assessment, Certification, and Promotion of 21st Century Skills for the Future of Work and Education. Journal of Intelligence, v. 11, n. 3, p. 54, 2023. Disponível em: https://doi.org/10.3390/jintelligence11030054. Acesso em: 19 out. 2024.
VENKATESH, V. Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model. Information Systems Research, v. 11, n. 4, p. 342–365, 2000. Disponível em: https://doi.org/10.1016/j.isre.2000.06.002. Acesso em: 21 out. 2024.
WAMBA-TAGUIMDJE, S.; WAMBA, S. F.; KAMDJOUG, J. R. K.; WANKO, C. E. T. Influence of Artificial Intelligence (AI) on Firm Performance: The Business Value of AI-Based Transformation Projects. Business Process Management Journal, v. 26, n. 7, p. 1893–1924, 2020. Disponível em: https://doi.org/10.1108/bpmj-10-2019-0411. Acesso em: 24 out. 2024.
WANG, C.; TEO, T. S.; JANSSEN, M. Public and Private Value Creation Using Artificial Intelligence: An Empirical Study of AI Voice Robot Users in Chinese Public Sector. International Journal of Information Management, v. 61, p. 102401, 2021. Disponível em: https://doi.org/10.1016/j.ijinfomgt.2021.102401. Acesso em: 27 out. 2024.
WANG, S.; SUN, Z.; CHEN, Y. Effects of Higher Education Institutes’ Artificial Intelligence Capability on Students’ Self-Efficacy, Creativity and Learning Performance. Education and Information Technologies, v. 28, n. 5, p. 4919–4939, 2022. Disponível em: https://doi.org/10.1007/s10639-022-11338-4. Acesso em: 30 out. 2024.
WANG, Y.; LIU, C.; TU, Y. Factors Affecting the Adoption of AI-Based Applications in Higher Education: An Analysis of Teachers’ Perspectives Using Structural Equation Modeling. Directory of Open Access Journals (DOAJ), 2021. Disponível em: https://doaj.org/article/e2fe5622b1fa4f88a3f1f90285a4126a. Acesso em: 2 nov. 2024.
YUAN, K.; CHAN, W. Measurement Invariance via Multigroup SEM: Issues and Solutions with Chi-Square-Difference Tests. Psychological Methods, v. 21, n. 3, p. 405–426, 2016. Disponível em: https://doi.org/10.1037/met0000080. Acesso em: 5 nov. 2024.
ZAHLAN, A.; RANJAN, R. P.; HAYES, D. Artificial Intelligence Innovation in Healthcare: Literature Review, Exploratory Analysis, and Future Research. Technology in Society, v. 74, p. 102321, 2023. Disponível em: https://doi.org/10.1016/j.techsoc.2023.102321. Acesso em: 5 nov. 2024.
ZHENG, X. et al. Primary School Students’ Online Learning During Coronavirus Disease 2019: Factors Associated With Satisfaction, Perceived Effectiveness, and Preference. Frontiers in Psychology, v. 13, 2022. Disponível em: https://doi.org/10.3389/fpsyg.2022.784826. Acesso em: 6 nov. 2024.
ZHOU, J.; GEORGE, J. M. When Job Dissatisfaction Leads to Creativity: Encouraging the Expression of Voice. Academy of Management Journal, v. 44, n. 4, p. 682–696, 2001. Disponível em: https://doi.org/10.2307/3069410. Acesso em: 8 nov. 2024.
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Derechos de autor 2025 Mario Alberto Salazar-Altamirano, Orlando Josué Martínez-Arvizu, Esthela Galván-Vela, Rafael Ravina-Ripoll, Lorena Gabriela Hernández-Arteaga, David Gómez Sánchez

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Esta revista, siguiendo las recomendaciones del movimiento de Acceso Abierto, proporciona su contenido en Acceso Abierto Completo. Por lo tanto, los autores conservan todos sus derechos, permitiendo a Encontros Bibli publicar sus artículos y ponerlos a disposición de toda la comunidad.
Los contenidos de Encontros Bibli están licenciados bajo Licencia Creative Commons 4.0.
Cualquier usuario tiene derecho a:
- Compartir: copiar, descargar, imprimir o redistribuir material en cualquier medio o formato
- Adaptar: mezclar, transformar y crear a partir del material para cualquier propósito, incluso comercial.
De acuerdo con los siguientes términos:
- Atribución: debe otorgar el crédito apropiado, proporcionar un enlace a la licencia e indicar si se han realizado cambios. Debe hacerlo bajo cualquier circunstancia razonable, pero de ninguna manera sugeriría que el licenciante lo respalde a usted o su uso.
- Sin restricciones adicionales: no puede aplicar términos legales o medidas tecnológicas que restrinjan legalmente a otros de hacer cualquier cosa que permita la licencia.