Artificial intelligence (AI) for innovative products development
DOI: https://doi.org/10.3846/mla.2025.24055Abstract
In today’s economic environment, where technological progress is rapid and product life cycles are getting shorter, companies not only need an innovative product development strategy but also an understanding of the factors that determine the success of new products in the market. One solution is the development of innovative products using artificial intelligence. This article aims to investigate how the integration of artificial intelligence affects the process of innovative product development. The article explores the concept of innovation and artificial intelligence, the link between these processes and classification models. A text analysis is carried out according to the developed research methodology. Based on the literature analysis, a popular model of innovative product development is selected. By integrating artificial intelligence into this model, various aspects of its application are examined, such as process automation, data analysis techniques and decision-making improvement. Links between the chosen model and the integration of artificial intelligence are found. A simulation approach is used to propose a structured model to assess the impact of AI on innovative product development. This approach helps to understand the relationships and interconnections between the results and the elements of the empirical study. At the end of the study, a simulation approach is carried out to test the proposed structured model. The paper concludes with conclusions and suggestions.
Article in Lithuanian.
Dirbtinio intelekto (DI) taikymas inovatyviems produktams kurti
Santrauka
Dabartinėje ekonominėje aplinkoje, kurioje technologinė pažanga vyksta labai sparčiai, o produktų gyvavimo ciklas trumpėja, įmonėms reikia ne tik inovatyvios produktų kūrimo strategijos, bet ir supratimo apie veiksnius, lemiančius naujų produktų sėkmę rinkoje. Vienas iš sprendimo būdų – inovatyvaus produkto kūrimas pasitelkiant dirbtinį intelektą. Šio straipsnio tikslas – ištirti kaip dirbtinio intelekto integravimas veikia inovatyvaus produkto kūrimo procesą. Straipsnyje analizuojama inovacijų ir dirbtinio intelekto samprata, sąsaja tarp šių procesų ir klasifikavimo modeliai. Remiantis sukurta tyrimo metodologija, atliekama mokslinės literatūros analizė, o pagal ją pasirenkamas populiarus inovatyvių produktų kūrimo modelis. Į šį modelį integruojant dirbtinį intelektą, nagrinėjami įvairūs jo pritaikymo aspektai, tokie kaip procesų automatizavimas, duomenų analizės metodai ir sprendimų priėmimo tobulinimas. Identifikuojamos sąsajos tarp pasirinkto modelio elementų ir dirbtinio intelekto integravimo galimybių. Siekdami pasiūlyti struktūruotą modelį, įvertinantį dirbtinio intelekto įtaką inovatyvių produktų kūrimo procesui, autoriai taiko modeliavimo metodą. Jis padeda suprasti empirinio tyrimo rezultatų ir elementų, ryšius bei sąsajas. Remiantis šiuo metodu, sukuriamas modelis. Tyrimo pabaigoje, norint patikrinti pasiūlytą struktūrizuotą modelį, taikomas simuliacijos metodas. Straipsnio pabaigoje pateiktos tyrimo išvados ir rekomendacijos.
Reikšminiai žodžiai: dirbtinis intelektas, dirbtinio intelekto integravimas, inovacijų strategija, inovatyvus produktas, inovatyvus produktų kūrimas, simuliacijos metodas.
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artificial intelligence, artificial intelligence integration, innovation strategy, innovative product, innovative product development, simulation methodHow to Cite
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Copyright (c) 2025 The Author(s). Published by Vilnius Gediminas Technical University.
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This work is licensed under a Creative Commons Attribution 4.0 International License.