Persistence in Innovation. Do Low-Tech Sectors Differ Much from the High-Tech?

Joana Costa and Nasimeh Tashakori ()
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Joana Costa: DECEIT–Department of Economics, Management, Industrial Engineering and Tourism, Campus Universitario de Santiago, University of Aveiro
Nasimeh Tashakori: DECEIT–Department of Economics, Management, Industrial Engineering and Tourism, Campus Universitario de Santiago, University of Aveiro

A chapter in Quality Innovation and Sustainability, 2023, pp 249-263 from Springer

Abstract: Abstract Disentangling innovationInnovations from growth is unrealistic in the present times. Also, anticipating the future behavior of innovative firms is relevant to the entire innovationInnovations ecosystem; and assessing the persistence of innovationInnovations and appraising the role of factors affecting ongoing innovation activitiesInnovation activities in firms is essential. This chapter discusses a very important subject related to the concept of innovation persistenceInnovation persistence in relation to structural innovationInnovations characteristics of firms, with a focus on technological regimesTechnological regimes, to better understand if there is change in innivation continuityInnovations accordingly to the technological intensity embedded in the sector. The empirical research is based on data from CIS database, comprising 3237 firms which present in the 2014 and 2018 waves. We analyze the innovative persistence behavior of these firms regarding proxies like firm dimension, innovation activitiesInnovation activities, types of innovationInnovations, government funding, and more importantly, technological regimesTechnological regimes. To do this, we applied binary logistic regression for developing a model which can forecast the drivers of innovationInnovations persistency propensity. The presented study shows that some very important results are achieved. Besides demonstrating innovative persistency in 75% of science-based firms, the findings confirm that firms in high-tech and science-based industries are more prone to continue innovating and, as a result, this consistency in innovationInnovations will generate virtuous cycles of innovationInnovations. Furthermore, our data shows that complex innovators are more likely to persist than single innovators, proving the existence of complementarities among the innovationInnovations types.

Keywords: Innovation persistence; Innovation activity; Technological regimes (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/978-3-031-12914-8_20

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