ANALYSIS OF SOFTWARE AND ORGANIZATIONAL SOLUTIONS FOR SUPPORTING INNOVATION MANAGEMENT IN INDUSTRIAL ENTERPRISES IN THE CONTEXT OF INDUSTRY 4.0
DOI:
https://doi.org/10.68302/std2026.vol2.99Keywords:
digital transformation, Industry 4.0, innovation management, software solutionsAbstract
This paper presents a structured analysis of existing software and organizational solutions that support innovation management in industrial enterprises within the context of Industry 4.0. The increasing digitalization of manufacturing systems, integration of cyber-physical technologies, and data-driven decision-making processes have significantly transformed how innovation activities are managed and implemented. The study adopts a literature review approach, synthesizing findings from recent academic publications, industry reports, and relevant case studies. The analysis focuses on key categories of software solutions, including innovation management platforms, enterprise resource planning (ERP) systems, knowledge management systems, and collaborative digital tools, alongside organizational practices such as open innovation models, agile management approaches, and cross-functional team structures. The results highlight that the effective integration of software tools with organizational capabilities is critical for enhancing innovation performance. Furthermore, the findings reveal that industrial enterprises face challenges related to system interoperability, organizational resistance to change, and the alignment of digital strategies with innovation objectives. The paper contributes by systematizing existing knowledge and identifying key trends and gaps in the field, providing a foundation for future research and practical implementation of innovation management solutions in industrial environments.
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References
[1] M. Ghobakhloo, “Industry 4.0, digitization and opportunities for sustainability,” Journal of Cleaner Production, vol. 252, 2020, Art. no. 119869. DOI: 10.1016/j.jclepro.2019.119869
[2] F. Tao, Q. Qi, L. Wang, and A. Y. C. Nee, “Digital twins and cyber–physical systems toward smart manufacturing and Industry 4.0: A review,” Engineering, vol. 7, no. 4, pp. 581–593, 2021.DOI: 10.1016/j.eng.2020.07.014
[3] A. Tortorella, D. Fettermann, and M. Frank, “The impact of Industry 4.0 on innovation performance: A systematic literature review,” Technological Forecasting and Social Change, vol. 173, 2021, Art. no. 121110. DOI: 10.1016/j.techfore.2021.121110
[4] S. Bag, S. Gupta, and S. Kumar, “Industry 4.0 adoption and 10R advance manufacturing capabilities for sustainable development,” International Journal of Production Economics, vol. 231, 2021, Art. no. 107844. DOI: 10.1016/j.ijpe.2020.107844
[5] A. Sony and M. Naik, “Critical factors for the successful implementation of Industry 4.0: A review and future research direction,” Production Planning & Control, vol. 33, no. 5, pp. 1–20, 2022. DOI: 10.1080/09537287.2020.1810763
[6] M. M. Queiroz, S. F. Wamba, R. Machado, and R. Telles, “Smart production systems drivers for business process management improvement: An integrative framework,” Business Process Management Journal, vol. 27, no. 2, pp. 501–530, 2021. DOI: 10.1108/BPMJ-03-2020-0124
[7] A. Maddikunta et al., “Industry 5.0: A survey on enabling technologies and potential applications,” Journal of Industrial Information Integration, vol. 26, 2022, Art. no. 100257.
DOI: 10.1016/j.jii.2021.100257
[8] R. Cimini, F. Pirola, R. Pinto, and S. Cavalieri, “A human-in-the-loop manufacturing paradigm for Industry 5.0,” Procedia CIRP, vol. 104, pp. 109–114, 2021.
DOI: 10.1016/j.procir.2021.11.018
[9] M. Javaid, A. Haleem, R. P. Singh, and R. Suman, “Substantial capabilities of robotics in enhancing Industry 4.0 implementation,” Cognitive Robotics, vol. 2, pp. 58–75, 2022.
DOI:10.1016/j.cogr.2022.02.001
[10] E. Rauch, P. Dallasega, and D. T. Matt, “The way from Lean Manufacturing to Industry 4.0,” Procedia CIRP, vol. 72, pp. 9–14, 2018 DOI:10.1016/j.procir.2018.03.103
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Copyright (c) 2026 Tsanka Zlateva-Petkova, Daniela Toneva
This work is licensed under a Creative Commons Attribution 4.0 International License.
