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Patrício, V., Costa, R. L., Pereira, L. & António, N. (2022). Dynamic capabilities and project management: A systematic literature review. International Journal of Business Innovation and Research. 29 (4), 417-448
V. Patrício et al., "Dynamic capabilities and project management: A systematic literature review", in Int. Journal of Business Innovation and Research, vol. 29, no. 4, pp. 417-448, 2022
@article{patrício2022_1734833538411, author = "Patrício, V. and Costa, R. L. and Pereira, L. and António, N.", title = "Dynamic capabilities and project management: A systematic literature review", journal = "International Journal of Business Innovation and Research", year = "2022", volume = "29", number = "4", doi = "10.1504/IJBIR.2020.10039419", pages = "417-448", url = "https://www.inderscience.com/jhome.php?jcode=ijbir" }
TY - JOUR TI - Dynamic capabilities and project management: A systematic literature review T2 - International Journal of Business Innovation and Research VL - 29 IS - 4 AU - Patrício, V. AU - Costa, R. L. AU - Pereira, L. AU - António, N. PY - 2022 SP - 417-448 SN - 1751-0252 DO - 10.1504/IJBIR.2020.10039419 UR - https://www.inderscience.com/jhome.php?jcode=ijbir AB - Project management became a critical tool for todays management success. Nevertheless, the fields authors reflect the difficulty of sharing empirical knowledge between projects. This condition empowered the dynamic capabilities research to become an active branch of science. The research team reviews the literature in the scope through the access and assess of the 25 most cited papers, published from 2014 to 2019. The goal is to interpret and contribute to mitigating the projects missing link while pushing dynamic capabilities science. The findings point to the importance of two branches interrelation in the organisations longterm success. The accessed papers emphasise common factors, mostly on dynamic capabilities on coming project management tasks. project management and dynamic capabilities, although different in goals and separated as science branches, can fulfil its missing links. The first working as an empirical knowledge provider to validate the second's theoretical models, and the laters improving the priors continuous learning between projects. ER -