Propuesta de aplicación del framework tecnología-organización-ambiente (TOE) en la adopción de la computación en la nube por micro y pequeñas empresas
Palabras clave:
Nube. Migración. Tecnología-Organización-Ambiente Framewok. Amazon Web Services. Micro y Pequeñas Empresas.Resumen
El estudio aborda el creciente uso de la Computación en la Nube en grandes corporaciones contrastado con su limitada adopción en Micro y Pequeñas Empresas (MPEs). El objetivo principal es proponer un marco de trabajo que guíe a estas empresas en las fases de migración a la nube. La metodología adoptada es cualitativa y aplicada, con enfoque en factores influyentes basados en el Marco Tecnología-Organización-Ambiente (TOE). La validación del marco se realiza mediante estudios de caso que demuestran su aplicabilidad en las MPEs. Los resultados destacan una orientación eficiente, ampliando el autoconocimiento y nivel de preparación técnica. Se concluye que el marco propuesto ofrece un enfoque integral para impulsar la utilización de la Computación en la Nube en las MPEs, fortaleciendo su competitividad y potencial de crecimiento.
Descargas
Citas
AMAZON WEB SERVICES. Best practices for assessing applications to be retired during a migration to the AWS Cloud. AWS Documentation, 2023. Disponível em: https://docs.aws.amazon.com/prescriptive-guidance/latest/migration-retiring-applications/apg-gloss.html. Acesso em: 02 maio 2023.
BOUAYNAYA, W. Cloud computing in SMEs: towards delegation of the CIO role. Information and computer security, Leeds, v. 28, n. 2, p. 199-213, 2020. Disponível: https://www.emerald.com/insight/content/doi/10.1108/ICS-01-2017-0001/full/html. Acesso em: 03 jan. 2023.
CAKIR, M. Cloud Computing: IaaS general purpose VM performance comparison between Microsoft Azure, Amazon AWS, and Google Cloud GCP. Dissertação (Mestrado em Ciência da Computação). Staffordshire University, 2023. Disponível em: https://www.researchgate.net/publication/369039177_Cloud_Computing_IaaS_general_purpose_VM_performance_comparison_between_Microsoft_Azure_Amazon_AWS_and_Google_Cloud_GCP?channel=doi&linkId=64070e100d98a97717e72492&showFulltext=true. Acesso em: 20 abr. 2023
GARTNER. Gartner Magic Quadrant for Cloud Infrastructure and Platform Services. Gartner Research, Stamford, 19 outubro 2022. Disponível em: https://www.gartner.com/en/documents/4020235. Acesso em: 21 maio 2023.
GRUFMAN, N.; LYONS, S.; SNEIDERS, E. Exploring Readiness of SMEs for Industry 4.0. Complex Systems Informatics and Modeling Quarterly, Stockholm, v. 25, n. 146, p. 54-86, 2020. Disponível em: https://csimq-journals.rtu.lv/article/view/csimq.2020-25.04. Acesso em: 23 dez. 2022.
KAPLANCALI, U. T.; AKYOL, M. Analysis of Cloud Computing Usage on Performance: The Case of Turkish SMEs. Proceedings, Basel, v. 74 n. 11, 2021. Disponível em: https://www.mdpi.com/2504-3900/74/1/11. Acesso em: 07 dez. 2022.
KHAYER, A.; TALUKDER, M. S.; BAO, Y.; HOSSAIN, M. N. Cloud computing adoption and its impact on SMEs’ performance for cloud supported operations: A dual-stage analytical approach. Technology in society, Amsterdam, v. 60, 2020. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S0160791X19301599?via%3Dihub. Acesso em: 06 mar. 2023.
KRISHANKUMAR, R. et al. An integrated decision model for cloud vendor selection using probabilistic linguistic information and unknown weights. Engineering Applications of Artificial Intelligence, Amsterdam, v. 114, 2022. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S0952197622002500?via%3Dihub. Acesso em: 18 jan. 2023.
KUMAR, D.; SAMALIA, H. V.; VERMA, P. Exploring suitability of cloud computing for small and medium-sized enterprises in India. Journal of small business and enterprise development, Leeds, v. 24, n. 4, p. 814-832, 2017. Disponível em: https://www.emerald.com/insight/content/doi/10.1108/JSBED-01-2017-0002/full/html. Acesso em: 03 mar. 2023.
LI, Min et al. Determinants of SMEs’ Transformation Toward Cloud Services: Perspectives of Economic and Social Rationalities. Pacific Asia Journal of the Association for Information Systems, Atlanta, v. 11, p. 65-87, 2019. Disponível em: https://aisel.aisnet.org/pajais/vol11/iss1/3/. Acesso em: 21 dez. 2022.
MANIAH et al. A systematic literature Review: Risk analysis in cloud migration. Journal of King Saud University - Computer and Information Sciences, Amsterdam, v. 34, p. 3111-3120, 2022. Disponível em: https://www.sciencedirect.com/science/article/pii/S1319157821000082?via%3Dihub. Acesso em: 03 jan. 2023.
MAQUEIRA-MARÍN, J. M.; BRUQUE-CÁMARA, S.; MINGUELA-RATA, B. Environment determinants in business adoption of Cloud Computing. Industrial management and data systems, Leeds, v. 117, n. 1, p. 228-246, 2017. Disponível em: https://www.emerald.com/insight/content/doi/10.1108/IMDS-11-2015-0468/full/html. Acesso em: 25 mar. 2023.
MAROUFKHANI, P.; WAN ISMAIL, W. K.; GHOBAKHLOO, M. Big data analytics adoption model for small and medium enterprises. Journal of Science and Technology Policy Management, Leeds, v. 11, n. 4, p. 483-513, 2020. Disponível em: https://www.emerald.com/insight/content/doi/10.1108/JSTPM-02-2020-0018/full/html. Acesso em: 10 fev. 2023.
MUHAMAD, M. Q. B.; MOHAMAD, S. J. A. N. S.; NOR, N. M. Technological-Organisational-Environmental (TOE) Framework in Industry 4.0 Adoption Among SMEs in Malaysia: An Early Outlook. ASEAN Entrepreneurship Journal, Shah Alam, v. 6, n. 3, p. 13-19, 2021. Disponível em: https://ir.uitm.edu.my/id/eprint/46902/. Acesso em: 02 fev. 2023.
PIRES, E. et al. Consultoria empresarial em tempos de volatilidade: estudo de frameworks e estratégias para consultorias de MPES. ln: XVII Congresso Virtual de Administração, Formiga, dez. 2020.
RAHI, S.; ABD.GHANI, M.; NGAH, A. H. Integration of unified theory of acceptance and use of technology in internet banking adoption setting: Evidence from Pakistan. Technology in society, Amsterdam, v. 58, 2019. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S0160791X18300277?via%3Dihub. Acesso em: 27 jan. 2023.
REZAEIAN, M.; WYNN, M. G. The Impact of Cloud Computing on the IT Support Function: A Case Study From Higher Education. Handbook of Research on Digital Transformation, Industry Use Cases, and the Impact of Disruptive Technologies. Pennsylvania: IGI Global, p. 1-17, 2022. Disponível em: https://www.igi-global.com/gateway/chapter/288639. Acesso em: 15 mar. 2023.
SALLEHUDIN, H. et al. Cloud Computing Implementation in The Public Sector: Factors and Impact. Asia-Pacific Journal of Information Technology and Multimedia, Berlin, v. 7, n. 2, p. 27-42, 2018. Disponível em: https://www.ukm.my/apjitm/article/c51ce410c124a10e0db5e4b97fc2af39/NCT. Acesso em: 27 fev. 2023.
SKAFI, M.; YUNIS, M. M.; ZEKRI, A. Factors Influencing SMEs' Adoption of Cloud Computing Services in Lebanon: An Empirical Analysis Using TOE and Contextual Theory. IEEE Access, Piscataway, v. 8, p. 79169-79181, 2020. Disponível em: https://ieeexplore.ieee.org/document/9064559. Acesso em: 04 fev. 2022.
TONGSUKSAI, S.; MATHRANI, S.; WEERASINGHE, K. Influential Characteristics and Benefits of Cloud ERP Adoption in New Zealand SMEs: A Vendors’ Perspective. IEEE Access, Piscataway,v. 11, p. 23956-23979, 2023. Disponível em: https://ieeexplore.ieee.org/document/10064167. Acesso em: 21 abr. 2023.
TORNATZKY, L. G.; FLEISCHER, M.; CHAKRABARTI, A. The Processes of Technological Innovation. Issues in Organization and Management Series. Lexington Books, Lanham, v. 10, 1990.
VEERAMOOTOO, N.; NUNKOO, R.; DWIVEDI, Y. K. What determines success of an e-government service? Validation of an integrative model of e-filing continuance usage. Government information quarterly, Berlin, v. 35, p. 161-174, 2018. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S0740624X17304161?via%3Dihub. Acesso em: 23 dev. 2022.
WU, H.; LI, X.; DENG, Y. Deep learning-driven wireless communication for edge-cloud computing: opportunities and challenges. Journal of Cloud Computing, London, v. 9, n. 21, 2020. Acesso em: 12 dez. 2022.
Archivos adicionales
Publicado
Cómo citar
Número
Sección
Licencia
Derechos de autor 2024 Revista Brasileira de Iniciação Científica
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.
