Showing 1 - 7 of 7
To study the causal impact of smartphone use on academic performance, we collected – for the first time worldwide – longitudinal data on students' smartphone use and educational performance. For three consecutive years we surveyed all students attending classes in eleven different study...
Persistent link: https://www.econbiz.de/10012180055
Multitasking – alternating between two different tasks at the same time – has become a daily habit for many university students. However, this may come at a cost since the existing literature emphasises the negative association between multitasking and academic performance. Nonetheless, this...
Persistent link: https://www.econbiz.de/10012882472
University students' smartphone use has recently been shown to negatively affect their academic performance. Surprisingly, research testing the empirical validity of potential mechanisms underlying this relationship is very limited. In particular, indirect effects of negative health consequences...
Persistent link: https://www.econbiz.de/10012658126
This paper explores the possible job creation effect of innovation activity. We analyze a unique panel dataset covering … is the labour-friendly nature of innovation, which we measure in terms of forward-citation weighted patents. However …, this positive impact of innovation is statistically significant only for firms in the high-tech manufacturing sectors …
Persistent link: https://www.econbiz.de/10011307348
statistically significant evidence of the expected labor-friendly nature of innovation. More in detail, neither R&D nor investment …
Persistent link: https://www.econbiz.de/10011653268
The microeconomic empirical literature devoted to the link between innovation and employment tends to suggest that … in size - positive relationship between innovation and employment. While the links with sales and wages have the expected … signs and turn out to be significant, the job creating impact of innovation proves robust after checking for time, industry …
Persistent link: https://www.econbiz.de/10010261953
In this study we use a unique database covering 25 manufacturing and service sectors for 16 European countries over the period 1996-2005, for a total of 2,295 observations, and apply GMM-SYS panel estimations of a demand-for-labour equation augmented with technology. We find that R&D...
Persistent link: https://www.econbiz.de/10010269701