@ARTICLE{Boffa_Eleonora_How_2023,
 author={Boffa, Eleonora and Maffei, Antonio},
 volume={vol. 14},
 number={No 2},
 pages={18-36},
 journal={Management and Production Engineering Review},
 howpublished={online},
 year={2023},
 publisher={Production Engineering Committee of the Polish Academy of Sciences, Polish Association for Production Management},
 abstract={The fourth industrial revolution has resulted in technology advancements in the manufacturing industry. However, the innovation potential embedded in these technologies should be unlocked by a viable application, i.e., the business model (BM). The BM as a holistic concept featuring different interacting elements is thus emerging as a promising vehicle for innovation. Current BM research describes the entire domain but lacks depth in the characterization of its individual components. This paper investigates the available manufacturing literature through the lens of the BM concept performing a scientometric analysis. The results are presented in a relational framework that provides an in-depth characterization of the manufacturing element of the BM and highlights identified connections that link the BM components. This is the basis for tools that will support firms in developing manufacturing portfolios aligned with their strategic goals.},
 type={Article},
 type={Artykuł /Article},
 title={How does Manufacturing Strategy Impact the Goals of a Firm? A Relational Framework Characterizing the Related Business Models’ Components},
 title={How does Manufacturing Strategy Impact the Goals of a Firm? A Relational Framework Characterizing the Related Business Models’ Components},
 URL={http://journals.pan.pl/Content/127788/PDF/art02_corr.pdf},
 doi={10.24425/mper.2023.146020},
 keywords={Business models, Manufacturing model, Scientometric analysis, Topic modelling, LatentDirichlet Allocation},
}