Introduction: Goodwill is slippery, and many interdisciplinary approaches require coordination. While it still represents a problem for accountants, its economic valuation is often flawed by inconsistent appraisal of its expected value. This valuation is even more important when evaluating digital goodwill. Justification: This research is justified by the growing importance of digitalization, which concerns not only digitally native firms but also evolving “brick-andmortar” companies. Objectives: This study aims to provide an analogic application of traditional goodwill valuation patterns to digitized businesses. Methodology: The research methods consider a comparative analysis with traditional valuation approaches, then extend to digital applications. Results: Empirical analysis using “with-or-without” differential approaches shows the incremental value of digital solutions and their impact on goodwill. Limitations of the study: This preliminary study does not consider artificial intelligence or machine learning applications where digitized ecosystems evolve following self-learning patterns. Networked ecosystems ignited by scalable digitalization are also not considered, albeit deserving further investigation.
Moro Visconti, R., Digital Goodwill Valuation, in S. Cruz Rambaud Et Al, S. C. R. E. A. (ed.), Advances in Quantitative Methods for Economicsand Business,, Springer, Cham, Svizzera 2025: 529- 558. https://doi.org/10.1007/978-3-031-84782-0_25 [https://hdl.handle.net/10807/322717]
Digital Goodwill Valuation
Moro Visconti, Roberto
2025
Abstract
Introduction: Goodwill is slippery, and many interdisciplinary approaches require coordination. While it still represents a problem for accountants, its economic valuation is often flawed by inconsistent appraisal of its expected value. This valuation is even more important when evaluating digital goodwill. Justification: This research is justified by the growing importance of digitalization, which concerns not only digitally native firms but also evolving “brick-andmortar” companies. Objectives: This study aims to provide an analogic application of traditional goodwill valuation patterns to digitized businesses. Methodology: The research methods consider a comparative analysis with traditional valuation approaches, then extend to digital applications. Results: Empirical analysis using “with-or-without” differential approaches shows the incremental value of digital solutions and their impact on goodwill. Limitations of the study: This preliminary study does not consider artificial intelligence or machine learning applications where digitized ecosystems evolve following self-learning patterns. Networked ecosystems ignited by scalable digitalization are also not considered, albeit deserving further investigation.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.



