Abstract
This study examines the scope and manifestation of innovation development and R&D projects management in science organizations and universities from project and innovation management perspective. For the purposes of the research, a data-driven model is developed in Qlik application by applying datasets from Scopus database (an Advanced Analytical Literature Review-AALR is used). The data-driven model is based on the principles of systematic literature review method and steps on data from more than 360 science articles, included in Scopus database.
Based on the results, provided by the data-driven model and application, analyses conclude the scope of the researched topic and some knowledge gaps. The findings and contributions of the research are: 1) New insights to the topic of innovation development and R&D projects management in science organizations and universities from project and innovation management perspective and 2) Data-driven model and application for systematic literature review (based on word and context analysis).
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The paper is supported by the BG NSF Grant No KP-06 OPR01/3-2018.
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Yordanova, Z. (2021). Innovation Development and R&D Project Management in Science Organizations and Universities - Data-Driven Model and Analysis. In: Suhaili, W.S.H., Siau, N.Z., Omar, S., Phon-Amuaisuk, S. (eds) Computational Intelligence in Information Systems. CIIS 2021. Advances in Intelligent Systems and Computing, vol 1321. Springer, Cham. https://doi.org/10.1007/978-3-030-68133-3_1
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