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  4. Productivity effects of process vs. product digitalization
 
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2022
Report
Title

Productivity effects of process vs. product digitalization

Title Supplement
Deliverable D5. WP2. Version 27th April 2022
Abstract
Digitalization is considered an important driver of upcoming societal and economic transformations. However, holding both promises and challenges, its effects on the performance of individual firms are still underexplored. In this paper, we disentangle the phenomenon into two distinct factors: the digitalization of processes and the digitalization of product offering. We analyse the effects of the two digitalization factors on firm-level productivity. This analysis is based on a large European-wide unique dataset combining structured information from ORBIS and PATSTAT with web-scraped information on the firms involved in high-tech manufacturing. Building on a triangular structural equation model -- including a patenting equation and a productivity equation -- we find that digitalization boosts productivity both directly and indirectly. The direct effects occur through immediate effects on productivity, while the indirect effects occur through increased patenting. However, the positive effects occur largely for product digitalization, while process digitalization on average does not significantly contribute to productivity. Interestingly quantile regression estimates show that the effects of product and process digitalization show significantly contrasting patterns across the productivity distribution. While the effects of product digitalization are largest for highly productive firms, there are mildly positive effects of product digitalization for lowproductivity firms
Author(s)
Schubert, Torben  orcid-logo
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Ashouri, Sajad
VTT Technical Research Centre of Finland  
Deschryvere, Matthias
VTT Technical Research Centre of Finland  
Jäger, Angela
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Visentin, Fabiana
Maastricht University, UNU-Merit
Pukelis, Lukas
PPMI
Hajikhani, Arash
VTT Technical Research Centre of Finland  
Suominen, Arho
VTT Technical Research Centre of Finland  
Project(s)
Addressing productivity paradox with big data: implications to policy making  
Funding(s)
H2020  
Funder
European Commission  
Language
English
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Keyword(s)
  • FTI-Politik

  • Innovationsmanagement

  • Innovationsstrategien

  • Technologiemanagement

  • Innovationssysteme

  • Addressing productivity paradox with big data: implications to policy making

  • Ökonometrie

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