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Institution

Copenhagen Business School

EducationCopenhagen, Hovedstaden, Denmark
About: Copenhagen Business School is a education organization based out in Copenhagen, Hovedstaden, Denmark. It is known for research contribution in the topics: Corporate governance & Entrepreneurship. The organization has 2194 authors who have published 9649 publications receiving 341898 citations.


Papers
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Proceedings ArticleDOI
01 Sep 2018
TL;DR: This research work proposes a conceptual design for sharing personal continuous-dynamic health data using blockchain technology supplemented by cloud storage to share the health-related information in a secure and transparent manner and introduces a data quality inspection module based on machine learning techniques to have control over data quality.
Abstract: With the advent of rapid development of wearable technology and mobile computing, huge amount of personal health-related data is being generated and accumulated on continuous basis at every moment. These personal datasets contain valuable information and they belong to and asset of the individual users, hence should be owned and controlled by themselves. Currently most of such datasets are stored and controlled by different service providers and this centralised data storage brings challenges of data security and hinders the data sharing. These personal health data are valuable resources for healthcare research and commercial projects. In this research work, we propose a conceptual design for sharing personal continuous-dynamic health data using blockchain technology supplemented by cloud storage to share the health-related information in a secure and transparent manner. Besides, we also introduce a data quality inspection module based on machine learning techniques to have control over data quality. The primary goal of the proposed system is to enable users to own, control and share their personal health data securely, in a General Data Protection Regulation (GDPR) compliant way to get benefit from their personal datasets. It also provides an efficient way for researchers and commercial data consumers to collect high quality personal health data for research and commercial purposes.

148 citations

Journal ArticleDOI
TL;DR: In this article, the authors study the factors that affect how technologically distant from the existing technological portfolio in-licensing firms are able to move when they in-license externally developed technologies.
Abstract: The market for technology plays a crucial role in firms’ technology strategy as a way to undertake search in the available technological space. Drawing on innovation search theory and the literatures on licensing and absorptive capacity (AC) we address the issue of the factors that affect how technologically distant from the existing technological portfolio in-licensing firms are able to move when they in-license externally developed technologies. We posit that a long technological distance reflects the outcome of more exploratory search, while a short distance reflects the outcome of exploitative search. We conjecture two distinct dimensions of AC in terms of the firms’ stock of knowledge (“assimilation capacity”) and the degree to which firms have searched broadly in the past (“monitoring ability” )t o affect the distance of exploration from the existing technological portfolio. Furthermore, we compare firms that explore through licensing and firms which do not explore through licensing, but do so through search reflected in own patenting activities. We propose that the effects of assimilation capacity and monitoring ability should be more pronounced for licensees. Combining data on 176 license agreements and related patent information and while using a control sample of non-licensing firms we find—with exceptions—support for these ideas.

148 citations

Journal ArticleDOI
TL;DR: In this article, a phenomenological approach was used to map the interpretations given to Western-based CSR initiatives by local manufacturers. But, the authors did not consider the role of local manufacturers in the soccer ball industry.
Abstract: The voices of local manufacturers have largely been overlooked in academic and policy debates on corporate social responsibility (CSR) in the developing world. This article makes a contribution towards filling this gap in the literature by explicitly taking a phenomenological approach that maps the interpretations given to Western-based CSR initiatives by local manufacturers. Data from two qualitative research projects on CSR initiatives in the soccer ball industry of Sialkot, Pakistan, are utilized to explore this issue in an inductive and exploratory manner. The article suggests that many soccer ball manufacturers in Sialkot perceive CSR as part of the wider historic project of Western imperialism in the developing world through which economic resources are extracted from local manufacturers while their perceptions of what constitutes socially responsible behaviour are delegitimized. This counter-discourse of CSR as Western imperialism paves the way for an alternative reading of CSR that challenges both...

148 citations

Journal ArticleDOI
TL;DR: In this paper, a new class of discrete time models where the distribution of daily returns is driven by two factors: dynamic volatility and dynamic jump intensity has its own risk premium is proposed.
Abstract: We build a new class of discrete time models where the distribution of daily returns is driven by two factors: dynamic volatility and dynamic jump intensity. Each factor has its own risk premium. The likelihood function for the models is available using analytical filtering, which makes them much easier to implement than most existing models. Estimating the models on S&P500 returns, we find that they significantly outperform standard models without jumps. We find very strong empirical support for time-varying jump intensities, and thus for flexible skewness and kurtosis dynamics. Compared to the risk premium on dynamic volatility, the risk premium on the dynamic jump intensity has a much larger impact on option prices. We confirm these findings using joint estimation on returns and large option samples, which is feasible in our class of models.

147 citations

Journal ArticleDOI
TL;DR: In this article, the authors employ path creation as a lens to follow the emergence of the Danish wind turbine cluster and conclude that public policy to catalyse clusters cannot be based on an assumption that linear learning dynamics will unfold.
Abstract: This paper employs path creation as a lens to follow the emergence of the Danish wind turbine cluster. Supplier competencies, regulations, user preferences and a market for wind power did not pre-exist; all had to emerge in a tranformative manner involving multiple actors and artefacts. Competencies emerged through processes and mechanisms such as co-creation that implicated multiple learning processes. The process was not an orderly linear one as emergent contingencies influenced the learning processes. An implication is that public policy to catalyse clusters cannot be based on an assumption that linear learning dynamics will unfold.

147 citations


Authors

Showing all 2280 results

NameH-indexPapersCitations
Cass R. Sunstein11778757639
John Campbell107115056067
Nicolai J. Foss9145431803
Stewart Clegg7051723021
Robert J. Kauffman6943715762
James R. Markusen6721626362
Timo Teräsvirta6222420403
John D. Sterman6217127982
Björn Johansson6263716030
Richard L. Baskerville6128418796
Torben Pedersen6124114499
Peter Christoffersen5920815208
Saul Estrin5835916448
Ram Mudambi5623613562
Xin Li5621411450
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202329
2022144
2021584
2020534
2019453
2018452