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Artificial intelligence and industrial innovation : evidence from firm-level data

Rammer, Christian; Fernández, Gastón P.; Czarnitzki, Dirk - 2021 - This version: March 2021

Artificial Intelligence (AI) represents a set of techniques that enable new ways of innovation and allows firms to … new business models. This paper analyses the extent to which the use of AI contributes to the innovation performance of … firms. Based on firm-level data from the German part of the Community Innovation Survey (CIS) 2018, we examine the …

Persistent link: https://www.econbiz.de/10012500899

Haftungsregeln und Innovation

Czarnitzki, Dirk - 2000

This paper discusses the incentives for innovation when liability is limited or not. Clearly innovative activity …

Persistent link: https://www.econbiz.de/10013428336

Management control and innovative activity

Czarnitzki, Dirk - 2000

This paper discusses theoretically the different incentives of managers versus firm owners to invest in innovative activities. There are opposing effects concerning R&D intensity in the manager-controlled firm. Our study on the determinants of R&D intensity presents empirical results concerning...

Persistent link: https://www.econbiz.de/10013428380

Unternehmensleitung und Innovationserfolg

Czarnitzki, Dirk - 2001

In dieser Arbeit werden die verschiedenen Anreize für Manager im Vergleich zu Unternehmenseignern untersucht, Innovationen durchzuführen. Bei den Anreizen treten gegenläufige Effekte der Innovationsanstrengungen auf. Unsere Untersuchung über die Determinanten des Innovationserfolges liefert...

Persistent link: https://www.econbiz.de/10013428454

Measuring the impact of innovation on firm value : a new approach

Czarnitzki, Dirk - 2002

Persistent link: https://www.econbiz.de/10013428515

Substitutive of complementary? : innovation subsidies in the German service sector

Czarnitzki, Dirk - 2002

Persistent link: https://www.econbiz.de/10014461009

Cluster policy, innovation, and firm productivity : an econometric assessment of the Flemish Spearhead Cluster Program

Angelino, Pierluigi; Czarnitzki, Dirk; Volckaert, Astrid - 2024 - This version: May 2024

The Flemish government launched its Spearhead Cluster (SHC) policy in 2017. The aim is to boost strategic sectors by setting up cluster initiatives which coordinate collaborative R&D initiatives. In this paper, we analyze whether becoming a member of such a cluster initiative has an impact on...

Persistent link: https://www.econbiz.de/10014566745

Econometric Models for Count Data with an Application to the Patents-R&D Relationship

Hausman, Jerry A.; Hall, Bronwyn H.; Griliches, Zvi - 2021

This paper focuses on developing and adapting statistical models of counts (non-negative integers) in the context of panel data and using them to analyze the relationship between patents and R&D expenditures. The model used is an application and generalization of the Poisson distribution to...

Persistent link: https://www.econbiz.de/10013218984

Uncertainty of outcome versus reputation : empirical evidence for the first German football division

Czarnitzki, Dirk - 1999

This paper analyses the determination of match attendance in the German premier football league by applying models derived from Peel/Thomas (1992) and Janssens/Késenne (1987). Additionally we develop an improved version, where we incorporate the supporter clubs and the weather conditions as...

Persistent link: https://www.econbiz.de/10013428270

An empirical test of the asymmetric models on innovative activity : who invests more into R&D - the incumbent or the challenger?

Czarnitzki, Dirk - 2000

The theoretical discussion concerning the question whether the incumbent or the (potential) entrant invests more into R&D has attracted considerable interest. This paper reports the results of an empirical study on this question using data of about 3500 German firms over the years 1992 to 1995....

Persistent link: https://www.econbiz.de/10013428313