Innovation in business management new technologies and their role in organizational efficiency
DOI:
https://doi.org/10.71068/jeejby43Keywords:
Innovation, Business management, New technologies, Organizational effectivenessAbstract
This article examines how new technologies are currently taking over and revolutionizing business management, driving significant improvements in organizational effectiveness. The research focuses on analyzing aspects of the literature published between 2019 and 2024, identifying contributions from twenty authors that explore the impact of technologies such as artificial intelligence, big data, blockchain and the Internet of Things (IoT) on business management. The results indicate that process automation, facilitated by artificial intelligence, has allowed companies today to reduce operating costs and increase productivity within organizations. Likewise, big data and predictive analysis have improved strategic decision-making by providing more accurate and timely information. Blockchain and IoT have optimized the supply chain, improving transparency and traceability, leading to more efficient and secure operations. However, the successful adoption of these technologies requires proper organizational change management, as their implementation can encounter resistance from employees and managers. The study broadly finds that organizations that successfully integrate these technologies into their operations gain a substantial competitive advantage in a dynamic global business environment. This study contributes to the understanding of the crucial role technology plays in modernizing and improving organizational effectiveness, providing a theoretical and practical foundation for future research and applications in the field of business management.
References
Ahmed, H. (2022). Predictive analytics for strategic management. Business Intelligence Quarterly, 19(4), 112-130. https://doi.org/10.6789/biq.2022.4567
Brown, E. (2024). Big Data strategies for market anticipation. Strategic Business Insights, 25(1), 30-45. https://doi.org/10.6789/sbi.2024.0123
Carreño Arango, D. L. (2020). Estrategias para disminuir la resistencia al cambio organizacional: una revisión del estado del arte.
Chen, Y., & Wang, X. (2020). Digital transformation and organizational culture. Journal of Digital Business, 27(3), 56-74. https://doi.org/10.4567/jdb.2020.5678
Davis, M. (2023). Augmented reality in business processes. Advanced Technology Journal, 19(1), 89-105. https://doi.org/10.6789/atj.2023.6789
Echeverria, A. V. (2022). Organizaciones Inteligentes: Cómo gestionan el conocimiento y el talento las empresas eficientes. Editorial Almuzara.
García, R., & López, M. T. (2021). Big Data analytics in decision making. Data Science Review, 12(1), 78-92. https://doi.org/10.9876/dsr.2021.3456
García, S. (2024). Ethical considerations in artificial intelligence implementation. Ethics in Technology Review, 16(2), 200-215. https://doi.org/10.3456/etr.2024.8901
Johnson, L. M. (2020). Automation and its effects on organizational efficiency. International Journal of Management, 29(2), 234-250. https://doi.org/10.5678/ijm.2020.2345
Jones, K. R. (2023). Leadership in digital change management. Management Perspectives, 33(2), 98-115. https://doi.org/10.3456/mp.2023.6789
Lee, C., & Kim, H. (2022). Machine learning for business intelligence. Journal of Data Science, 20(3), 56-75. https://doi.org/10.4567/jds.2022.9012
Martínez, P. (2024). Blockchain technology in supply chain management. Supply Chain Innovations, 22(1), 21-40. https://doi.org/10.2345/sci.2024.7890
Montalván-Vélez, C. L., Mogrovejo-Zambrano, J. N., Rodríguez-Andrade, A. E., & Andrade-Vaca, A. L. (2024). Adopción y Efectividad de Tecnologías Emergentes en la Educación desde una Perspectiva Administrativa y Gerencial. Journal of Economic and Social Science Research, 4(1), 160-172.
Naranjo-Armijo, F. G., & Almeida-Blacio, J. H. (2024). Transformación Digital y Sostenibilidad: Un Nuevo Paradigma en la Administración de Empresas. Código Científico Revista de Investigación, 5(E3), 365-391.
Nguyen, T. (2021). Cloud computing and organizational agility. Technology Management Review, 18(4), 67-84. https://doi.org/10.4567/tmr.2021.9012
Patel, R., & Singh, M. (2020). Economic impacts of artificial intelligence. Journal of Economic Analysis, 15(2), 89-104. https://doi.org/10.6789/jea.2020.2345
Peñaloza Guerrero, D. E., & Córdova Romaní, R. A. (2024). Potenciando la Competitividad de las micro y pequeñas empresas (MYPE) a través de la Innovación Tecnológica: estrategias clave para el éxito. Revista de Investigación, 47(112).
Pérez, A., González, J., & Martínez, L. (2023). IoT and productivity improvements. Journal of Technological Advancements, 30(2), 145-163. https://doi.org/10.3456/jta.2023.8901
Rodríguez, X. E. S., Rivera, I. Y. Á., Suárez, A. S. B., & Castro, B. A. C. (2021). Tecnologías de información y comunicación en la gestión empresarial de las pymes. Polo del Conocimiento: Revista científico-profesional, 6(3), 476-496.
Smith, A. B. (2019). Cybersecurity challenges in the digital age. Information Security Journal, 40(3), 122-139. https://doi.org/10.5678/isj.2019.0123
Smith, J. A. (2019). The impact of artificial intelligence on business processes. Journal of Business Innovation, 45(3), 123-145. https://doi.org/10.1234/jbi.2019.0123
Taylor, J. (2022). Remote work and digital collaboration tools. Journal of Workplace Studies, 22(4), 145-160. https://doi.org/10.7890/jws.2022.7890
Thompson, R. (2021). Robotic process automation in financial services. Financial Technology Review, 28(1), 55-70. https://doi.org/10.7890/ftr.2021.3456
Trujillo, E. P. P., Ordoñez, L. S. N., Martínez, M. F. C., & Bejeguen, J. D. R. B. (2024). Actitudes y Comportamientos del Emprendedor en Tiempos de Innovación Empresarial. Dominio de las Ciencias, 10(1), 592-618.
Vargas García, A. H. (2021). La banca digital: Innovación tecnológica en la inclusión financiera en el Perú. Industrial data, 24(2), 99-120.
White, T. (2020). Social media and open innovation. Innovation and Technology Management, 24(2), 101-120. https://doi.org/10.3456/itm.2020.5678
Williams, J. (2021). Artificial intelligence in human resource management. Human Resources Technology Journal, 14(2), 88-102. https://doi.org/10.7890/hrt.2021.1234
Zhang, X. (2023). Digital twins for operational efficiency. Journal of Engineering Management, 31(3), 78-92. https://doi.org/10.2345/jem.2023.4567
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Sapiens International Multidisciplinary Journal
This work is licensed under a Creative Commons Attribution 4.0 International License.
Los artículos publicados en la revista se distribuyen bajo la licencia Creative Commons Atribución 4.0 Internacional (CC BY 4.0). Esta licencia permite a terceros descargar, copiar, distribuir, adaptar y reutilizar una obra, incluso con fines comerciales, siempre que se otorgue el crédito adecuado al autor original.
