Institution
Copenhagen Business School
Education•Copenhagen, 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.
Topics: Corporate governance, Entrepreneurship, Corporate social responsibility, Context (language use), European union
Papers published on a yearly basis
Papers
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TL;DR: In this article, the role of transaction cost economics (TCE) in advancing the resource-based view of the RBV has been discussed, and it has been argued that TCE has the potential to remedy a number of weak spots in RBV, such as the absence of attention in the RBVM to the interaction between value creation and value appropriation.
Abstract: This essay addresses the role of transaction cost economics (TCE) in advancing the resource-based view. In particular, it is argued that TCE has the potential to remedy a number of weak spots in the RBV, such as the absence of attention in the RBV to the interaction between value creation and value appropriation. This and other weak spots in the RBV stem from not taking account of transaction costs to a sufficient extent. Integrating TCE with the RBV adds new insight into the analysis of sustained competitive advantage.
167 citations
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09 Jan 2010TL;DR: This paper summarizes the requirements that motivate the framework, and discusses the theoretical foundations on which it is based, and presents the framework and its application in detail, with examples from the work to illustrate how it has been used to support both ideographic and nomothetic research, using qualitative and quantitative methods.
Abstract: The relationship between interaction and learning is a central concern of the learning sciences, and analysis of interaction has emerged as a major theme within the current literature on computer-supported collaborative learning. The nature of technology-mediated interaction poses analytic challenges. Interaction may be distributed across actors, space, and time, and vary from synchronous, quasi-synchronous, and asynchronous, even within one data set. Often multiple media are involved and the data comes in a variety of formats. As a consequence, there are multiple analytic artifacts to inspect and the interaction may not be apparent upon inspection, being distributed across these artifacts. To address these problems as they were encountered in several studies in our own laboratory, we developed a framework for conceptualizing and representing distributed interaction. The framework assumes an analytic concern with uncovering or characterizing the organization of interaction in sequential records of events. The framework includes a media independent characterization of the most fundamental unit of interaction, which we call uptake. Uptake is present when a participant takes aspects of prior events as having relevance for ongoing activity. Uptake can be refined into interactional relationships of argumentation, information sharing, transactivity, and so forth for specific analytic objectives. Faced with the myriad of ways in which uptake can manifest in practice, we represent data using graphs of relationships between events that capture the potential ways in which one act can be contingent upon another. These contingency graphs serve as abstract transcripts that document in one representation interaction that is distributed across multiple media. This paper summarizes the requirements that motivate the framework, and discusses the theoretical foundations on which it is based. It then presents the framework and its application in detail, with examples from our work to illustrate how we have used it to support both ideographic and nomothetic research, using qualitative and quantitative methods. The paper concludes with a discussion of the framework’s potential role in supporting dialogue between various analytic concerns and methods represented in CSCL.
167 citations
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TL;DR: In this paper, the authors apply the model confidence sets (MCS) procedure to a set of volatility models, analogous to a confidence interval of parameter in the sense that the former contains the best forecasting model with a certain probability.
Abstract: This paper applies the model confidence sets (MCS) procedure to a set of volatility models. A MSC is analogous to a confidence interval of parameter in the sense that the former contains the best forecasting model with a certain probability. The key to the MCS is that it acknowledges the limitations of the information in the data. The empirical exercise is based on fifty-five volatility models, and the MCS includes about a third of these when evaluated by mean square error, whereas the MCS contains only a VGARCH model when mean absolute deviation criterion is used. We conduct a simulation study that shows the MCS captures the superior models across a range of significance levels. When we benchmark the MCS relative to a Bonferroni bound, this bound delivers inferior performance.
167 citations
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TL;DR: A structural equation model is described which allows librarians to quantitatively measure library users’ perceived quality, satisfaction and loyalty with a library as well as the degree to which specific elements of a library’s services, collections and environment contribute to those perceptions.
167 citations
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TL;DR: In this article, the authors explored the links between self-control, compulsive buying, and debts in a representative sample of the German population (n ǫ = 946).
166 citations
Authors
Showing all 2280 results
Name | H-index | Papers | Citations |
---|---|---|---|
Cass R. Sunstein | 117 | 787 | 57639 |
John Campbell | 107 | 1150 | 56067 |
Nicolai J. Foss | 91 | 454 | 31803 |
Stewart Clegg | 70 | 517 | 23021 |
Robert J. Kauffman | 69 | 437 | 15762 |
James R. Markusen | 67 | 216 | 26362 |
Timo Teräsvirta | 62 | 224 | 20403 |
John D. Sterman | 62 | 171 | 27982 |
Björn Johansson | 62 | 637 | 16030 |
Richard L. Baskerville | 61 | 284 | 18796 |
Torben Pedersen | 61 | 241 | 14499 |
Peter Christoffersen | 59 | 208 | 15208 |
Saul Estrin | 58 | 359 | 16448 |
Ram Mudambi | 56 | 236 | 13562 |
Xin Li | 56 | 214 | 11450 |