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2022

Are greener start-ups of superior quality? The impact of environmental orientation on innovativeness, high-growth, and internationalization (PREPRINT)

Neumann, T. (2022). Are greener start-ups of superior quality? The impact of environmental orientation on innovativeness, high-growth, and internationalization (PREPRINT). Journal Of Innovation And Entrepreneurship. Abgerufen von https://doi. org/10.21203/rs.3.rs1557653/v1

Abstract

This paper merges the literature on green and high-quality entrepreneurship by introducing environmental orientation as an unrecognised characteristic of start-up quality and the three quality dimensions innovativeness, high-growth, and internationalisation. Entrepreneurship literature argues that only highquality start-ups contribute to sustainable development and that a better understanding of what determines the quality of start-ups is required. Empirical research has recently shown that the environmental orientation of start-ups is one such determinant, as it significantly predicts their innovativeness. This paper pursues this novel research avenue on the importance of environmental orientation for start-up quality in two ways. First, this paper evaluates and extends this initial evidence on environmental orientation and innovativeness by examining a three times larger sample, covering additional countries and entrepreneurial stages. Second, this paper also analyses the impact of environmental orientation on the quality dimensions of high-growth and internationalisation. Investigation using Global Entrepreneurship Monitor data on 9,650 entrepreneurs from 51 countries revealed that start-ups with a higher environmental orientation are of superior quality regarding their innovativeness, growth expectations, and exports. These results remain robust for start-ups at different entrepreneurial stages, and tests employing different methodological approaches and variable definitions. However, the categorisation into factordriven, efficiency-driven, and innovation-driven countries showed that greener start-ups are more innovative in countries at all three levels of development, while the relationships with high-growth and internationalisation remained significant for only two of the three categories. The findings of this paper provide a new approach for practitioners to identify the small number of high-quality start-ups and an economic reason warranting intensified efforts to support green start-ups.
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Jackstädt-Zentrum Flensburg (JZF)

Profilbereich

Start-up- und KMU-Management

Forschungsfeld

Entrepreneurship

Fachbereich

Fachbereich 4: Wirtschaft
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2022

Journal Article

Thomas Neumann

2021

The impact of wind evolution and filter design on lidar-assisted wind turbine control

Guo, F., Schlipf, D., & Chen, Y. (2021). The impact of wind evolution and filter design on lidar-assisted wind turbine control. http://doi.org/10.5281/zenodo.4890902 (Original work published may)
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Schlipf, David
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2021

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Feng Guo

David Schlipf

Yiyin Chen
Assessment of a State-Feedback Controller and Observer in a Floating Wind Turbine Scaled Experiment

Lemmer, F., Lehmann, K., Raach, S., Al, M., Skandali, D., Schlipf, D., u. a. (2021). Assessment of a State-Feedback Controller and Observer in a Floating Wind Turbine Scaled Experiment. http://doi.org/10.5281/zenodo.5004916 (Original work published may)
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Schlipf, David
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2021

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Frank Lemmer

Katja Lehmann

Steffen Raach

Mees Al

Danai Skandali

David Schlipf

Wei Yu

Po Cheng
Smart Lidar Systems for Floating Offshore Wind Turbines

Thomas, F., Schlipf, D., & Raach, S. (2021). Smart Lidar Systems for Floating Offshore Wind Turbines. http://doi.org/10.5281/zenodo.5004524 (Original work published may)
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Schlipf, David
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2021

Miscellaneous

Florian Thomas

David Schlipf

Steffen Raach
A Low Computational Framework for Testing Wind Farm Controllers

Novais, F., Schlipf, D., & Raach, S. (2021). A Low Computational Framework for Testing Wind Farm Controllers. http://doi.org/10.5281/zenodo.5008772 (Original work published may)
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Schlipf, David
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2021

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Felipe Novais

David Schlipf

Steffen Raach
Lidar Wind Preview Quality Estimation for Wind Turbine Control

Guo, F., & Schlipf, D. (2021). Lidar Wind Preview Quality Estimation for Wind Turbine Control. In American Control Conference. New Orleans, LA, USA. http://doi.org/10.23919/ACC50511.2021.9483442 (Original work published may)
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Schlipf, David
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2021

Conference Paper

Feng Guo

David Schlipf
Comparison of uncertainties in measurements from cup anemometers and lidar systems

Schlipf, D., Guo, F., & Chen, Y. (2021). Comparison of uncertainties in measurements from cup anemometers and lidar systems. http://doi.org/10.5281/zenodo.4890902 (Original work published may)
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Schlipf, David
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2021

Miscellaneous

David Schlipf

Feng Guo

Yiyin Chen
Bayesian neural network model for estimating fatigue loads on wind turbines

Omole, J. A., Schlipf, D., Venu, A., & Ludde, M. (2021). Bayesian neural network model for estimating fatigue loads on wind turbines. http://doi.org/10.5281/zenodo.4923193 (Original work published may)
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Schlipf, David
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2021

Miscellaneous

John Omole

David Schlipf

Anish Venu

Mike Ludde
Wind lidar technology development and transfer

Clifton, A., & Schlipf, D. (2021). Wind lidar technology development and transfer. http://doi.org/10.5281/zenodo.4817725 (Original work published may)
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Schlipf, David
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2021

Miscellaneous

Andrew Clifton

David Schlipf
The Smart Lidar Concept - New Opportunities for the Lidar Community

Schlipf, D., Guo, F., Raach, S., & Zhu, H. (2021). The Smart Lidar Concept - New Opportunities for the Lidar Community. http://doi.org/10.5281/zenodo.4627168 (Original work published mar)
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Schlipf, David
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2021

Miscellaneous

David Schlipf

Feng Guo

Steffen Raach

Hailong Zhu

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2022

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