Impacto de la Inteligencia Artificial en la Gestión Estratégica de Empresas
DOI:
https://doi.org/10.5281/zenodo.13308265Palabras clave:
Inteligencia Artificial, Gestión Estratégica, Toma de Decisiones, AutomatizaciónResumen
Esta revisión sistemática tuvo como objetivo analizar el impacto de la inteligencia artificial (IA) en la gestión estratégica de las empresas. Se realizó una búsqueda sistemática en las bases de datos Scopus, Web of Science y EBSCOhost Business
Source Complete, seleccionando 16 estudios publicados a partir del año 2019 que
cumplían con los criterios de inclusión. Se extrajo información sobre los objetivos,
la metodología, las herramientas de IA utilizadas, los sectores estudiados y los principales hallazgos de cada estudio. Los resultados de la revisión demuestran que la IA
está transformando la gestión estratégica, mejorando la toma de decisiones, automatizando tareas, impulsando la innovación y creando valor empresarial. Sin embargo, la adopción de la IA también plantea desafíos, como la resistencia al cambio,
la brecha de habilidades y las cuestiones éticas. Se concluye que la IA se está convirtiendo en una herramienta esencial para la gestión estratégica, y las empresas que la
integren de manera efectiva estarán mejor posicionadas para competir en el entorno
empresarial del futuro.
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Abousaber, I., & Abdalla, H. F. (2023). Review of using technologies of artificial intelligence in companies. International Journal of Communication Networks and Information Security, 15(1), 101-108. https://search.proquest.com/openview/888c8c588f2a62d2ee74d87bdae167b5/1?pq-origsite=gscholar&cbl=52057
Agrawal, A., Gans, J., & Goldfarb, A. (Eds.). (2019). The economics of artificial intelligence: an agenda. University of Chicago Press. https://books.google.es/books?hl=es&lr=&id=4GyVDwAAQBAJ&oi=fnd&pg=PR7&dq=Agrawal,+A.,+Gans,+J.,+%26+Goldfarb,+A.+(2019).+Prediction+machines:+The+simple+economics+of+artificial+intelligence.+Harvard+Business+Review+Press.&ots=3U3aj2iYrv&sig=BUp--KpbTlO2siNWJZoOgxQMxrY
Alkan, D. P. (2020). Re-shaping business strategy in the era of digitization. In Handbook of Research on Strategic Fit and Design in Business Ecosystems (pp. 76-97). IGI Global. https://www.igi-global.com/chapter/re-shaping-business-strategy-in-the-era-of-digitization/235569
Borenstein, M., Hedges, L. V., Higgins, J. P., & Rothstein, H. R. (2009). Introduction to meta-analysis. John Wiley & Sons. https://books.google.es/books?hl=es&lr=&id=pdQnEAAAQBAJ&oi=fnd&pg=PP1&dq=Borenstein,+M.,+Hedges,+L.+V.,+Higgins,+J.+P.,+%26+Rothstein,+H.+R.+(2009).+Introduction+to+meta-analysis.+John+Wiley+%26+Sons.&ots=WFUnxTaFL0&sig=l-pt4qVLXJU1ZXixm8C5wpQOPSI
Bostrom, N., & Yudkowsky, E. (2014). The ethics of artificial intelligence. In K. Frankish & W. M. Ramsey (Eds.), The Cambridge handbook of artificial intelligence (pp. 316–334). Cambridge University Press. https://www.taylorfrancis.com/chapters/edit/10.1201/9781351251389-4/ethics-artificial-intelligence-nick-bostrom-eliezer-yudkowsky
Brynjolfsson, E., & McAfee, A. (2017). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. WW Norton & Company. https://books.google.es/books?hl=es&lr=&id=WiKwAgAAQBAJ&oi=fnd&pg=PA1&dq=Brynjolfsson,+E.,+%26+McAfee,+A.+(2017).+The+second+machine+age:+Work,+progress,+and+prosperity+in+a+time+of+brilliant+technologies.+WW+Norton+%26+Company.&ots=4-VoUg0wei&sig=26O2kAcYWxjT0ho_TOtohXj72_A
Choori, A., & Kazemi, S. (2023). Strategic Management in the Digital Age: A Review of Decision-Making Frameworks. International Journal of Innovation Management and Organizational Behavior (IJIMOB), 3(2), 21-32. https://journals.kmanpub.com/index.php/ijimob/article/view/1305
Costa, R. L. D., Diamantino, J., Pereira, L., Dias, Á., Gonçalves, R., & Teixeira, N. (2022). Impact and future of artificial intelligence. International Journal of Services, Economics and Management, 13(2), 131-151. https://www.inderscienceonline.com/doi/abs/10.1504/IJSEM.2022.122735
Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116. https://blockqai.com/wp-content/uploads/2021/01/analytics-hbr-ai-for-the-real-world.pdf
Devyania, R. D., Jewanc, S. Y., Bansal, U., & Denge, X. (2020). Strategic impact of artificial intelligence on the human resource management of the Chinese healthcare industry induced due to COVID-19. IETI Transactions on Economics and Management, 1(1), 19-33. https://paper.ieti.net/tem/2020V1S1/02.pdf
Didcov, G. (2020). The adoption of artificial intelligence in modern business strategies (Doctoral dissertation, Dublin, National College of Ireland). https://norma.ncirl.ie/4893/1/gabrieladidcov.pdf
Ekellem, E. A. F. (2023). Strategic Alchemy: The Role of AI in Transforming Business Decision-Making. Authorea Preprints. https://www.techrxiv.org/doi/full/10.36227/techrxiv.24707151.v1
Gurjar, K., Jangra, A., Baber, H., Islam, M., & Sheikh, S. A. (2024). An analytical review on the impact of artificial intelligence on the business industry: Applications, trends, and challenges. IEEE Engineering Management Review. https://ieeexplore.ieee.org/abstract/document/10453656/
Harraf, A., & Ghura, H. (2021). Potentials of Artificial Intelligence for Business Performance. In The Fourth Industrial Revolution: Implementation of Artificial Intelligence for Growing Business Success (pp. 99-109). https://link.springer.com/chapter/10.1007/978-3-030-62796-6_5
Higgins, J. P. T., Thomas, J., Chandler, J., Cumpston, M., Li, T., Page, M. J., ... & Welch, V. A. (Eds.). (2019). Cochrane Handbook for Systematic Reviews of Interventions (Vol. 6). John Wiley & Sons. https://dariososafoula.wordpress.com/wp-content/uploads/2017/01/cochrane-handbook-for-systematic-reviews-of-interventions-2019-1.pdf
Iwuanyanwu, C. C. (2021). Determinants and impact of artificial intelligence on organizational competitiveness: A study of listed American companies. Journal of Service Science and Management, 14(5), 502-529. https://www.scirp.org/journal/paperinformation?paperid=112542
Kaggwa, S., Eleogu, T. F., Okonkwo, F., Farayola, O. A., Uwaoma, P. U., & Akinoso, A. (2024). AI in decision making: transforming business strategies. International Journal of Research and Scientific Innovation, 10(12), 423-444. https://www.researchgate.net/profile/Oluwatoyin-Farayola/publication/377345979_AI_in_Decision_Making_Transforming_Business_Strategies/links/6601fe2fa4857c796282c14e/AI-in-Decision-Making-Transforming-Business-Strategies.pdf
Kaur, H. (2024, February). Handling the AI Frontier: Analyzing the Effect on Managerial Decision-Making, Ethical Issues and Business Strategy. In 2024 11th International Conference on Computing for Sustainable Global Development (INDIACom) (pp. 1230-1235). IEEE. https://ieeexplore.ieee.org/abstract/document/10499012/
McKinsey Global Institute. (2018). Skill shift: Automation and the future of the workforce. McKinsey & Company. https://www.voced.edu.au/content/ngv:79805
Moher, D., Liberati, A., Tetzlaff, J., Altman, D.G., & The PRISMA Group (2009). Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS medicine, 6(7), e1000097. https://www.acpjournals.org/doi/abs/10.7326/0003-4819-151-4-200908180-00135
Neiroukh, S., Aljuhmani, H. Y., & Alnajdawi, S. (2024, January). In the era of emerging technologies: discovering the impact of artificial intelligence capabilities on timely decision-making and business performance. In 2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) (pp. 1-6). IEEE. https://ieeexplore.ieee.org/abstract/document/10459356/
Pereira, L., Résio, M., Costa, R. L. D., Dias, Á., & Gonçalves, R. (2024). Artificial intelligence in strategic business management: The case of auditing. International Journal of Business Information Systems, 45(1), 57-100. https://www.inderscienceonline.com/doi/abs/10.1504/IJBIS.2024.135970
Perifanis, N. A., & Kitsios, F. (2023). Investigating the influence of artificial intelligence on business value in the digital era of strategy: A literature review. Information, 14(2), 85. https://www.mdpi.com/2078-2489/14/2/85
Petticrew, M., & Roberts, H. (2006). Systematic reviews in the social sciences: A practical guide. Blackwell Publishing. https://books.google.es/books?hl=es&lr=&id=ZwZ1_xU3E80C&oi=fnd&pg=PR5&dq=Petticrew,+M.,+%26+Roberts,+H.+(2006).+Systematic+reviews+in+the+social+sciences:+A+practical+guide.+Blackwell+Publishing.&ots=w_Q_vPKPPw&sig=TVMGScOGY-p_ugisS6GXVCYTa7k
Porter, M. E., & Heppelmann, J. E. (2014). How smart, connected products are transforming competition. Harvard Business Review, 92(11), 64–88. https://www.academia.edu/download/48737111/WP_hbr_how-smart-connected-products-are-transforming-competition_R1411C_EN.pdf
Rothstein, H. R., Sutton, A. J., & Borenstein, M. (2005). Publication bias in meta-analysis: Prevention, assessment and adjustments. John Wiley & Sons. https://onlinelibrary.wiley.com/doi/pdf/10.1002/0470870168?utm_campaign=Hawkeye+Smile&utm_content=How+accurate+is+the+assessment+of+certified+nursing+assistants+on+resident%27s+oral+self-care+function+in+three+North+Carolina+assisted-living+facilities%3F&utm_id=740628002.831147255&utm_medium=email&utm_source=d.dentistry#page=15
Salvan, A. (2019). A systematic literature review about the impact of artificial intelligence on innovation management: Implications on different organizational aspects. http://dspace.unive.it/handle/10579/15918
Sandelowski, M., & Barroso, J. (2007). Handbook for synthesizing qualitative research. Springer Publishing Company. https://books.google.es/books?hl=es&lr=&id=rjNMH0g8fFsC&oi=fnd&pg=PR5&dq=Sandelowski,+M.,+%26+Barroso,+J.+(2007).+Handbook+for+synthesizing+qualitative+research.+Springer+Publishing+Company.&ots=I2ck0Skte2&sig=Ek9jtBRWFfh1wVHRW6bCMKd1GQE
Shtepa, S., Bao, Y., & Osiyevskyy, O. (2023). The impact of artificial intelligence on management practice. In Research Handbook on Digital Strategy (pp. 324-341). Edward Elgar Publishing. https://www.elgaronline.com/edcollchap/book/9781800378902/book-part-9781800378902-27.xml
Suklun, H. (2021). Artificial intelligence and strategic management. Perspectives of AI: Past, Present, Future, 77-106. https://www.academia.edu/download/78116919/MULTIDISCIPLINARY_PERSPECTIVES_AI.PDF#page=85
Van de Wetering, R. (2022). The impact of artificial intelligence ambidexterity and strategic flexibility on operational ambidexterity. In Pacific Asia Conference on Information Systems (Vol. 74, pp. 1-17). AIS Electronic Library. https://www.researchgate.net/profile/Rogier-Van-De-Wetering/publication/361254468_The_impact_of_artificial_intelligence_ambidexterity_and_strategic_flexibility_on_operational_ambidexterity/links/62a6e7ffc660ab61f877f780/The-impact-of-artificial-intelligence-ambidexterity-and-strategic-flexibility-on-operational-ambidexterity.pdf
Wamba-Taguimdje, S. L., Wamba, S. F., Kamdjoug, J. R. K., & Wanko, C. E. T. (2020). Impact of artificial intelligence on firm performance: Exploring the mediating effect of process-oriented dynamic capabilities. In Digital Business Transformation: Organizing, Managing and Controlling in the Information Age (pp. 3-18). Springer International Publishing. https://link.springer.com/chapter/10.1007/978-3-030-47355-6_1
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