Using big data for generating firm-level innovation indicators-a literature review

C Rammer, N Es-Sadki - Technological Forecasting and Social Change, 2023 - Elsevier
Obtaining indicators on the innovation activities of firms has been a challenge in economic
research for a long time. The most frequently used indicators-R&D expenditures and patents …

The digital layer: alternative data for regional and innovation studies

M Abbasiharofteh, M Krüger, J Kinne… - Spatial Economic …, 2023 - Taylor & Francis
The lack of large-scale data revealing the interactions among firms has constrained
empirical studies. Utilizing relational web data has remained unexplored as a remedy for …

Scraping innovativeness from corporate websites: Empirical evidence on Italian manufacturing SMEs

C Bottai, L Crosato, J Domenech, M Guerzoni… - … Forecasting and Social …, 2024 - Elsevier
Research in innovation studies usually relies on financial statements, surveys, or patents as
primary data sources, although these sources of information show some limitations when …

[PDF][PDF] Not all twins are identical: the digital layer of “twin” transition market applications

M Abbasiharofteh, L Kriesch - 2024 - researchgate.net
A twin (a joint green and digital) transition aims to facilitate achieving the Green Deal goals.
The interplay between regional capabilities and twin transition market applications remains …

Augmenting the Italian Third Sector registry using non-profit organisations' websites

C Bottai, F Trentini, A Velyka - Proceedings CARMA 2024-6th …, 2024 - boa.unimib.it
This paper presents a framework for enriching and complementing administrative data from
the Italian Third Sector Single National Register (RUNTS) with textual content extracted from …

Prediction of SMEs Bankruptcy at the Industry Level with Balance Sheets and Website Indicators

C Bottai, L Crosato, C Liberati - 6th International Conference on …, 2024 - riunet.upv.es
[EN] This paper addresses the importance of industry-specific models for SMEs bankruptcy
prediction, building on earlier research finding larger predictive accuracy and enhanced …