The transformative potential of AI in the measurement and valuation of intangible assets in industry 5.0: An approach to maintenance assessment in the era of digital transformation
DOI:
https://doi.org/10.5585/2025.24835Keywords:
Industry 5.0, Artificial Intelligence, measurement, valuation, transformationAbstract
This article presents a review of the evaluation and valuation process of intangible assets in the context of Industry 5.0, highlighting the role of Artificial Intelligence (AI). The research described the role played by these assets in the competitiveness of organizations; it also clarifies issues such as the subjectivity of metrics and the lack of standard guidelines.. In this context, AI emerges as a key technology for overcoming these challenges, relying primarily on human protagonism and its valuation. The application of advanced analysis techniques is encouraged, as they would support this objective. These approaches provide accuracy and reliability, serving as a tool to assist organizations and establish a solid foundation for asset evaluation. In such a situation, strategic analysis and modeling techniques would facilitate accuracy and reliability in the measurement of such assets. As part of the proposed approach, a structured methodology is established to redefine the basic evaluation processes, which establish assertiveness, capacity and transformation of organizational performance. The results indicate that the integration between AI and strategic models strengthens the evaluation of intangible assets and drives innovation and sustainability of organizations in the digital age.
Downloads
References
Andriessen, D. (2004). IC Avaliação e Mensuração Classificando o Estado da Arte. Revista do Capital Intelectual, 5, 230-242. http://dx.doi.org/10.1108/14691930410533669.
Axtle-Ortiz, M. A. (2013). Perceiving the value of intangible assets in context. Journal of Business Research, 66(3), 417-424. https://doi.org/10.1016/j.jbusres.2012.04.008.
Azamat K., Jaxybekova G., Rustamov B., Zhaishylyk N. (2023). The impact of intangible assets on the value of FMCG companies worldwide, Journal of Innovation & Knowledge, Volume 8, Issue, ISSN 2444-569X, https://doi.org/10.1016/j.jik.2023.100330.
Bamhdi, A. (2024). Analysis of intangible assets reporting standards and automation in KSA within an Islamic context – a case study. Journal of Islamic Accounting and Business Research. https://doi.org/10.1108/jiabr-08-2023-0273.
Bauman, M. P., & Shaw, K. W. (2018). Value relevance of customer-related intangible assets. Research in Accounting Regulation, 30, 95-102. https://doi.org/10.1016/j.racreg.2018.09.010.
Boettcher, M. (2015). Revolução Industrial - Um pouco de história da Indústria 1.0 até a Indústria 4.0. LinkedIn. Disponível em: https://pt.linkedin.com/pulse/revolu%C3%A7%C3%A3o-industrial-um-pouco-de-hist%C3%B3ria-da-10-at%C3%A9-boettcher.
Bousdekis, A., & Mentzas, G. (2021). Enterprise Integration and Interoperability for Big Data-Driven Processes in the Frame of Industry 4.0. Frontiers in Big Data, 4, 2624-909X. https://doi.org/10.3389/fdata.2021.644651.
Cavalcante, Z. V., & Silva, M. L. S. (2011). A importância da Revolução Industrial no mundo da Tecnologia. In Anais eletrônico do 7º Encontro Internacional de Produção Científica. Maringá.
Chareonsuk, C., & Chansa-ngavej, C. (2010). Intangible asset management framework: an empirical evidence. Industrial Management and Data Systems, 110(7), 1094-1112.
Choi, W. W., Kwon, S. S., & Lobo, G. J. (2000). Market valuation of intangible assets. Journal of Business Research, 49(1), 35-45. https://doi.org/10.1016/S0148-2963(98)00121-0
Cui, L. & Wang, Y., (2023). Can corporate digital transformation alleviate financial distress? Finance Research Letters, 55(Part B). https://doi.org/10.1016/j.frl.2023.103983.
Çipi, A., Fernandes, A. C. R. D., Ferreira, F. A. F., Ferreira, N. C. M. Q. F., & Meidutė-Kavaliauskienė, I. (2023). Detecting and developing new business opportunities in society 5.0 contexts: A sociotechnical approach. Technology in Society, 73, 102243. https://doi.org/10.1016/j.techsoc.2023.102243.
Domínguez Gil, S., San José Cabrero, A., Sánchez Gea, A., Miguel-Sin, P., & Ramírez Pacheco, G. M. (2024). Towards Intangible Value Quantification: Scope, Limits & Shortages of Artificial Intelligence applications. https://doi.org/10.4995/carma2024.2024.17839.
Fang, R., Gao, B., & Hu, N. (2021). Intangible asset value of employee satisfaction in high-contact services. International Journal of Hospitality Management, 94. https://doi.org/10.1016/j.ijhm.2020.102810.
Faruqi, U. A. (2019). Serviço do Futuro na Indústria 5.0: Documento de Pesquisa. Journal Sistem Cerdas, 2(1), 67 - 79. https://doi.org/10.37396/jsc.v2i1.21.
França, T. J. F., São Mamede, H., Barroso, J. M. P., & Santos, V. M. P. D. (2023). Artificial intelligence applied to potential assessment and talent identification in an organizational context. Heliyon, 9(4), e14694. https://doi.org/10.1016/j.heliyon.2023.e14694.
Fukuda, K. (2020). Science, technology and innovation ecosystem transformation toward society 5.0. International Journal of Production Economics, 220. https://doi.org/10.1016/j.ijpe.2019.07.033.
George, A. S. & George, A. S. H. (2023) Revolutionizing Manufacturing: Exploring the Promises and Challenges of Industry 5.0. Partners Universal International Innovation Journal, V. 1, n. 2, p. 22–38, DOI: 10.5281/zenodo.7852124.
Guo, X., Li, M., Wang, Y., & Mardani, A. (2023). Does digital transformation improve the firm's performance? From the perspective of digitalization paradox and managerial myopia. Journal of Business Research, 163. https://doi.org/10.1016/j.jbusres.2023.113868.
Huang, S., Wang, B., Li, X., Zheng, P., Mourtzis, D., & Wang, L. (2022). Industry 5.0 and Society 5.0—Comparison, complementation and co-evolution. Journal of Manufacturing Systems, 64, 424-428. https://doi.org/10.1016/j.jmsy.2022.07.010.
Kristandl, G., & Bontis, N. (2007). Constructing a definition for intangibles using the resource based view of the firm. Management Decision, 45(9), 1510-1524.
Lim, S. C., Macias, A. J., & Moeller, T. (2020). Intangible assets and capital structure. Journal of Banking & Finance, 118. https://doi.org/10.1016/j.jbankfin.2020.105873.
Liu, S., Zhao, H., & Kong, G. (2023). Enterprise digital transformation, breadth of ownership and stock price volatility. International Review of Financial Analysis, 89. https://doi.org/10.1016/j.irfa.2023.102713.
Maddikunta, P. K. R., Pham, Q. V., B., P., Deepa, N., Dev, K., Gadekallu, T. R., Ruby, R., Liyanage, M., (2022). Industry 5.0: A survey on enabling technologies and potential applications. Journal of Industrial Information Integration, 26, 100257. https://doi.org/10.1016/j.jii.2021.100257.
Maksimchuk, O., & Pershina, T. (2017). Um novo paradigma de otimização de sistemas industriais baseado na concepção "indústria 4.0". In MATEC Web of Conferences (Vol. 129, p. 04006).
Marson, M. D. (2014). A industrialização brasileira antes de 1930: uma contribuição sobre a evolução da indústria de máquinas e equipamentos no estado de São Paulo, 1900-1920. SciELO, São Paulo.
Masulis, R. W., Reza, S. W., & Guo, R. (2023). The sources of value creation in acquisitions of intangible assets. Journal of Banking & Finance, 106879. https://doi.org/10.1016/j.jbankfin.2023.106879.
Meudt, T., Kaiser, J., Metternich, J., & Spieckermann, S. (2017). Mapeamento de fluxo de valor e simulação de fluxo de valor em tempos de digitalização e Indústria 4.0: Um aplicativo para otimização de manufatura. ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, 112(12), 865–868.
Mozaffari, A., Azad, N. L., & Fathi, A. (2015). Identificação simultânea baseada em conhecimento e otimização da economia de combustível PHEV usando algoritmo imune caótico lamarckiano baseado em Pareto de hipernível, MSBA e programação fuzzy. Jornal Internacional de Computação Inteligente e Cibernética, 8(1), 2–27.
Niculita, A. L., Popa, A. F., & Caloian, F. (2012). The Intangible Assets–A New Dimension in The Company's Success. Procedia Economics and Finance, 3, 304-308. https://doi.org/10.1016/S2212-5671(12)00156-6.
Ordieres-Meré, J., Gutierrez, M., & Villalba-Díez, J. (2023). Toward the industry 5.0 paradigm: Increasing value creation through the robust integration of humans and machines. Computers in Industry, 150, 103947. https://doi.org/10.1016/j.compind.2023.103947.
Osinski, M., Selig, P., Matos, F., & Roman, D. (2017). Methods of evaluation of intangible assets and intellectual capital. Journal of Intellectual Capital, 18, 470-485. https://doi.org/10.1108/JIC-12-2016-0138.
Popkova, E. G., Ragulina, Y. V., & Bogoviz, A. V. (Eds.). (2018). Diferenças fundamentais da transição para a Indústria 4.0 em relação às revoluções industriais anteriores. The Fourth Industrial Revolution (Vol. 169, pp. 21-29).
Raptis, T. P., Passarella, A., & Conti, M. (2019). Data management in industry 4.0: State of the art and open challenges. IEEE Access, 7, 10.1109/ACCESS.2019.2929296.
Ren, T., Liu, X., & Ding, J. (2023). Intergenerational dynamics of digital transformation in family firms. Technology in Society, 74. https://doi.org/10.1016/j.techsoc.2023.102261.
Sakurai, D., & Zuchi, E. (2018). As Revoluções Industriais até a Indústria 4.0. Interface Tecnológica, 15(2). DOI: 10.31510/infa.v15i2.386.
Schwab, K. (2016). A Quarta Revolução Industrial. São Paulo: Edipro, 2016. https://ria.ufrn.br/123456789/1826. ISBN: 978-8572839785.
Schwab, K. (2017). A quarta revolução industrial. Jornal Internacional de Engenharia e Gestão Industrial, 8(1), 21–30.
Sukhodolov, Y.A. (2019). The Notion, Essence, and Peculiarities of Industry 4.0 as a Sphere of Industry. In: Popkova, E., Ragulina, Y., Bogoviz, A. (eds) Industry 4.0: Industrial Revolution of the 21st Century. Studies in Systems, Decision and Control, vol 169. Springer, Cham. https://doi.org/10.1007/978-3-319-94310-7_1.
Silveira, C. B. (2017). O que é a Indústria 4.0 e como ela vai impactar o mundo. Citisystems.
Stefano, N. M., Filho, N. C., Freitas, M. C. D., & Martinez, M. A. T. (2014). Gestão de ativos intangíveis: implicações e relações da gestão do conhecimento e capital intelectual. Perspectivas em Gestão & Conhecimento, 4(1), 22-37.
Trequattrini, R., Lardo, A., Cuozzo, B., & Manfredi, S. (2022). Intangible assets management and digital transformation: evidence from intellectual property rights-intensive industries. Meditari Accountancy Research. https://doi.org/10.1108/medar-03-2021-1216.
Tsai, C.-F., Lu, Y.-H., & Yen, D. C. (2012). Determinants of intangible assets value: The data mining approach. Knowledge-Based Systems, 31, 67-77. https://doi.org/10.1016/j.knosys.2012.02.007.
Wan, P. K., & Leirmo, T. L. (2023). Human-centric zero-defect manufacturing: State-of-the-art review, perspectives, and challenges. Computers in Industry, 2023, 103792. https://doi.org/10.1016/j.compind.2022.103792.
Whitwell, G. J., Lukas, B. A., & Hill, P. (2007). Stock analysts' assessments of the shareholder value of intangible assets. Journal of Business Research, 60(1), 84-90. https://doi.org/10.1016/j.jbusres.2006.09.017.
Williams, D., & Tang, H. (2020). Data quality management for industry 4.0: A survey. Software Quality Professional, 22.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Dhyemis Santana dos Santos, André Alves de Resende

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
- Abstract 51
- pdf (Português (Brasil)) 25