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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Silva, J., Ferreira, F., Govindan, K., Ferreira, N. & Correia, R. (2024). A CM-BWM approach to determinants of open innovation in small and medium-sized enterprises. IEEE Transactions on Engineering Management. 71, 2561-2578
Exportar Referência (IEEE) 
J. R. Silva et al.,  "A CM-BWM approach to determinants of open innovation in small and medium-sized enterprises", in IEEE Transactions on Engineering Management, vol. 71, pp. 2561-2578, 2024
Exportar BibTeX 
@article{silva2024_1734527320883,
	author = "Silva, J. and Ferreira, F. and Govindan, K. and Ferreira, N. and Correia, R.",
	title = "A CM-BWM approach to determinants of open innovation in small and medium-sized enterprises",
	journal = "IEEE Transactions on Engineering Management",
	year = "2024",
	volume = "71",
	number = "",
	doi = "10.1109/TEM.2022.3171591",
	pages = "2561-2578",
	url = "https://ieeexplore.ieee.org/document/9835129"
}
Exportar RIS 
TY  - JOUR
TI  - A CM-BWM approach to determinants of open innovation in small and medium-sized enterprises
T2  - IEEE Transactions on Engineering Management
VL  - 71
AU  - Silva, J.
AU  - Ferreira, F.
AU  - Govindan, K.
AU  - Ferreira, N.
AU  - Correia, R.
PY  - 2024
SP  - 2561-2578
SN  - 0018-9391
DO  - 10.1109/TEM.2022.3171591
UR  - https://ieeexplore.ieee.org/document/9835129
AB  - Open innovation has gradually gained greater importance over time as commitment to a culture of constant innovation has become increasingly indispensable for organizations' long-term survival. This trend has made understanding the factors that affect innovation capacity and success imperative. Given the wide range of determinants already identified, researchers seeking to analyze these factors face difficult, extremely complex challenges in terms of determining their effects on small and medium-sized enterprises (SMEs). The existing literature mentions limitations arising from how criteria have been selected for evaluation systems and how these determinants' relative weights have been defined. This article develops an analysis system that combines cognitive mapping—based on the jointly understanding, reflecting, and negotiating strategy making approach—and the best-worst method. The two main aims are to identify the most significant criteria for evaluations of SME propensity to engage in open innovation and to calculate these factors' relative weights. This article focuses on promoting realistic, comprehensive analyses that foster clearer and more conscious decision making based on a holistic view of open innovation assessment.
ER  -