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Correia, M. J. & Matos, F. (2021). The impact of artificial intelligence on innovation management: A literature review. In Matos, F., Ferreiro, M. de F., Rosa, A., and Salavisa, I. (Ed.), Proceedings of the 16th European Conference on Innovation and Entrepreneurship (ECIE 2021). (pp. 222-230). Virtual, Online: Academic Conferences and Publishing International Limited.
M. J. Correia and F. M. Matos, "The impact of artificial intelligence on innovation management: A literature review", in Proc. of the 16th European Conf. on Innovation and Entrepreneurship (ECIE 2021), Matos, F., Ferreiro, M. de F., Rosa, A., and Salavisa, I., Ed., Virtual, Online, Academic Conferences and Publishing International Limited, 2021, vol. 1, pp. 222-230
@inproceedings{correia2021_1734957574843, author = "Correia, M. J. and Matos, F.", title = "The impact of artificial intelligence on innovation management: A literature review", booktitle = "Proceedings of the 16th European Conference on Innovation and Entrepreneurship (ECIE 2021)", year = "2021", editor = "Matos, F., Ferreiro, M. de F., Rosa, A., and Salavisa, I.", volume = "1", number = "", series = "", doi = "10.34190/EIE.21.225", pages = "222-230", publisher = "Academic Conferences and Publishing International Limited", address = "Virtual, Online", organization = "ACI, Instituto Universitário de Lisboa (ISCTE-IUL)", url = "https://www.academic-conferences.org/conferences/ecie/" }
TY - CPAPER TI - The impact of artificial intelligence on innovation management: A literature review T2 - Proceedings of the 16th European Conference on Innovation and Entrepreneurship (ECIE 2021) VL - 1 AU - Correia, M. J. AU - Matos, F. PY - 2021 SP - 222-230 SN - 2049-1050 DO - 10.34190/EIE.21.225 CY - Virtual, Online UR - https://www.academic-conferences.org/conferences/ecie/ AB - The digital transformation and its accompanying artificial intelligence processes are becoming the essential focus of the contemporaneous digital revolution. Its real impacts, challenges, and opportunities on the industry and the business environment remain unknown. In this context, innovation has become the main driver of competitiveness. Nevertheless, innovation is no longer an isolated and residual agent but a crucial mindset that should be embedded in all workers and all activities of a company, as innovation can improve an organisation's performance and the employees' well-being and working conditions. In this context, the growth of artificial intelligence in the business world seems to be changing the way companies innovate and manage innovation processes. This paper presents a literature review study whose objective is to get insights into publications that relate innovation management and artificial intelligence. The method used in this study is based on the analysis of data obtained from the Scopus database. As a general insight, it is concluded that Al systems can free managers from more technical and exhaustive research tasks and enhance creative processes. This way, managers can focus more on creativity applied to problem-solving and the conception and development of innovation strategies. In terms of originality, this study aims to contribute and stimulate data-driven discussions regarding the possible impacts of artificial intelligence on innovation processes. This study also explores directions for future research. ER -