Dirk Czarnitzki’s research while affiliated with ZEW - Leibniz Centre for European Economic Research and other places

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Publications (219)


Financial constraints for R&D and innovation: new evidence from a survey experiment
  • Article

October 2024

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10 Reads

Dirk Czarnitzki

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Citations (79)


... Lockdowns and social distancing measures have disrupted traditional operations, and companies that had already invested in digital technologies found themselves better positioned to handle the crisis (Abidi et al., 2023;Copestake et al., 2024;EIB, 2022;Trunschke et al., 2024). More digitalized firms were able to quickly adapt their business models, processes, and customer interactions to the digital realm, which allowed them certain continuity and resilience. ...

Reference:

COVID-19 and Business Digitalization: Unveiling the Effects of Concurrent Strategies
Pandemic effects: Do innovation activities of firms suffer from Long COVID?
  • Citing Article
  • September 2024

Research Policy

... A growing body of literature explores the antecedents of inter-organizational and spatial mobility, including personal attributes (Melero et al., 2020;Campbell et al., 2012Campbell et al., , 2021, firm-specific characteristics (Seo and Somaya, 2022;Palomeras and Melero, 2010;Agarwal et al., 2009), and contextual factors (Bisset et al., 2024;Choudhury and Kim, 2019;Hernandez and Kulchina, 2020). While there is ample evidence on the role of formal institutions, including contractual (e.g. ...

Inventor mobility under uncertainty
  • Citing Article
  • January 2024

Research Policy

... While the former requires the interested firms to present a project and a government committee to evaluate it depending on the societal benefits the project could spur and the political agenda objectives, the latter is a neutral instrument granted to all those who perform R&D activities, regardless of the project these activities pertain to. There is extensive literature on the effects these incentives have on both innovation inputs and outputs (Castellacci & Lie, 2015;Becker, 2014;Hovdan et al., 2023) in terms of innovation investments and patents, while only a part of the literature also looks at the effects on firms' performance and revenues, therefore focusing not only on the invention phase but also on the commercialization of innovation and its potential success (Czarnitzki & Hussinger, 2017;Czarnitzki et al., 2011). One of the main drawbacks of public financial incentives for innovation was the potential crowding out effect, according to which firms would substitute their own investments in R&D with the public funds received without actually increasing the overall effort in research. ...

R&D tax credits: a review and an econometric study on efficient policy mixes
  • Citing Chapter
  • December 2023

... However, the existing literature exhibits two limitations. First, most studies focus on AI's general innovation effects [17,18] while neglecting its technological adaptability in green collaboration scenarios. As a result, its sustainable development value has not been fully released. ...

Artificial intelligence and firm-level productivity
  • Citing Article
  • July 2023

Journal of Economic Behavior & Organization

... Additionally, firm size maybe an important determinant of AI adoption. Empirical evidence from Rammer et al. (2021) shows that in Germany, large firms (with at least 1,000 employees) are nearly ten times more likely to adopt AI compared to small businesses (5 to 9 employees). Furthermore, AI adoption is also uneven across sectors, with the latest Eurostat ICT business survey indicating higher AI adoption rates in ICT services and professional business activities. ...

Artificial Intelligence and Industrial Innovation: Evidence From Firm-Level Data
  • Citing Article
  • January 2021

SSRN Electronic Journal

... Additionally, AI applications for worker comfort include detecting workplace stressors, providing individualized recommendations for ergonomic enhancements, and altering environmental settings based on employee presence [34,35,36]. AI helps with payroll processing, real-time worker productivity feedback, administrative task automation, and quick response mechanisms [37,38,41,44]. Additionally, by automating data collecting and processing, locating key figures within an organization, and improving cooperation, AI can support organizational network analysis (ONA) [54,55,58]. ...

Artificial Intelligence and Firm-Level Productivity
  • Citing Article
  • January 2022

SSRN Electronic Journal

... However, the impact of AI assimilation on entrepreneurial performance, particularly for women entrepreneurs, is under-researched, warranting more attention from both practitioners and researchers (Al-Attari et al., 2024;Iram et al., 2022;Zhang et al., 2021). Evolving literature acknowledges that AI enhances business value, increases entrepreneurial output and performance (Yang, 2022), boosts innovative productivity (Bag et al., 2021), and helps forecast entrepreneurial opportunities and adapt to macro-level dynamics (Jabeur et al., 2022;Rammer et al., 2022). Saudi Arabia's Vision 2030 reflects a strong political resolve to empower women, elevate their economic participation, and enhance their capacities and knowledge (Bullough et al., 2015;Al-Attar et al., 2024;Iram and Bilal, 2023). ...

Artificial intelligence and industrial innovation: Evidence from German firm-level data
  • Citing Article
  • September 2022

Research Policy

... In modern financial theory, financing constraints are considered a significant factor that influences corporate innovation, especially in the field of green innovation (Czarnitzki et al., 2024). They also present a major obstacle to the growth of small and medium-sized enterprises (Santos & Cincera, 2022). ...

Financial Constraints for R&D and Innovation: New Evidence From a Survey Experiment
  • Citing Article
  • January 2021

SSRN Electronic Journal

... Recent scholarly contributions specific to the Italian industrial policy and startup ecosystem offer preliminary insights but often suffer from limitations in scope and time horizon (Brancalani et al., 2022;Ferrucci et al., 2021;Finaldi Russo et al., 2016;Albanese et al., 2019;Giraudo et al., 2019;ISTAT, 2022;OECD, 2018). These studies, while valuable, tend to focus narrowly on either the innovation output or financial activities of firms, lacking a comprehensive view of the interdependencies between these facets. ...

The Italian Start Up Act: a microeconometric program evaluation
  • Citing Article
  • Full-text available
  • March 2022

Small Business Economics

... This learning process leads to innovative behaviour, ultimately improving innovation performance. Therefore, this study proxies for innovation failure using the ratio of the number of failed technology development projects to the number of technology development projects in the survey year (Bong & Park, 2021;Van Criekingen et al., 2021). Given we additionally control for the year effects and firm size, this measure can reflect the size differences of the projects implemented by firms in that year. ...

Open Innovation Deficiency: Evidence on Project Abandonment and Delay
  • Citing Article
  • January 2021

SSRN Electronic Journal