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Institution

European Business School London

About: European Business School London is a based out in . It is known for research contribution in the topics: Real estate investment trust & Empirical research. The organization has 323 authors who have published 636 publications receiving 17446 citations. The organization is also known as: EBS London.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors apply a two-stage sequential choice model to mitigate selection bias at the firm-level and property-level, and find that REITs tend to dispose of distant properties and there is a negative relation between distance and cumulative abnormal returns.
Abstract: While the relation between geographic dispersion and firm value has been extensively studied, there are intriguing aspects that we do not yet understand. For example, Bernile, Kumar and Sulaeman (2015) report that, “local investors may perceive an informational advantage where there is in fact none.” Additionally, when we talk of local assets versus distant assets, there is little data showing what that means. REITs offer a unique and more complete data source of evidence about the proximity issue and value. In our unique panel dataset of more than 800,000 property-year observations, we find that local must be carefully evaluated as in most cases these REITs own a wide pool of geographically diversified assets. We apply a two-stage sequential choice model to mitigate selection bias at the firm-level and property-level. We find that REITs tend to dispose of distant properties and there is a negative relation between distance and cumulative abnormal returns. The top-ten MSAs in our disposition sample were over 860 miles (1,388 kilometers) from their REIT headquarters (HQs). The average cumulative abnormal return (CAR) was over three times as large and statistically significant for those dispositions that were below the median distance compared to those farther. However, further analyses show that headquarters that were in smaller areas (below the mean by population) were the only REITs to have positive abnormal returns. Thus, the gain is to firms that are located in smaller areas and who dispose of properties closer to their HQs. The gains are monotonically declining by distance from their HQs. This evidence is supportive of managerial alignment theory in the literature.Further, informational and social factors explain corporate decisions on asset sell-offs: this social interaction effect exists for those HQs located in less-populated areas. Consistent with the hypothesis of Landier, Nair and Wulf (2009), we find a positive and significant relation between aggregated proximity of a firm’s property holdings (Geographic HHI) and employee friendliness, indicating proximity between a particular firm’s headquarters and its underlying properties is associated with poor shareholder protection due to better employee protection. Together, these findings suggest a dominant role for the managerial alignment hypothesis. We find in particular that for HQs in less-populated MSAs, the managerial alignment effect dominates the information asymmetry effect.

4 citations

Book ChapterDOI
01 Jan 2004
TL;DR: In this paper, a vorliegende Beitrag konstruiert einen analytischen Rahmen, der das Realphanomen Wissensnetzwerk beschreibt und in einen theoretischen Gesamtzusammenhang einordnet.
Abstract: Der vorliegende Beitrag konstruiert einen analytischen Rahmen, der das Realphanomen Wissensnetzwerk beschreibt und in einen theoretischen Gesamtzusammenhang einordnet. Dabei werden Aspekte des Netzwerkansatzes und der okonomischen Theorie des Wissens miteinander verbunden. Die Analyse ist in zwei Teile gegliedert. Zum einen werden Wissensnetzwerke definiert und gegen andere — ahnliche — Phanomene abgegrenzt. Zum anderen wird anhand der beiden Grunddimensionen „Knoten = Akteure“ und „Kanten = Inhalte“ von Wissensnetzwerken eine erste Typologie abgeleitet. Diese Typologie wird in den folgenden Beitragen des Readers anhand der empirischen Ergebnisse uberpruft und erweitert.

4 citations

Journal ArticleDOI
30 Jul 2014
TL;DR: In this article, the authors investigate the role of the Alternative Investment Market (AIM) in the performance of the Alternext segment of the London Stock Exchange (LSE) from 2005 to 2012.
Abstract: En matiere d’organisation boursiere dediee aux petites et moyennes entreprises (PME), lesucces de l’Alternative Investment Market (AIM) aurait etabli ce segment du London Stock Exchange comme le benchmark, dont l’Alternext serait une declinaison manquee. Cet article tend a infirmer cette proposition. D’abord, la performance d’Alternext (2005-2012) est moins mauvaise que ce qu’ont pu faire accroire les critiques formulees, notamment lorsqu’on la compare a celle de l’AIM au meme stade de developpement. Ensuite, les caracteristiques de l’AIM ne permettent pas de l’eriger en modele d’organisation boursiere dediee aux entreprises moyennes ou petites : le succes semble se fonder moins sur les services que l’AIM fournit a des societes modestes ou innovantes que sur l’arbitrage reglementaire qu’accomplissent des capitalisations assez importantes. Ce constat pose avec acuite la question de la nature et de l’organisation d’un marche boursier adapte aux specificites des PME.

4 citations

Journal ArticleDOI
TL;DR: In this paper, an operational model for the analysis and "strategic" valuation of property portfolios is presented. And the model emerges as an effective and flexible instrument for identifying and visualizing strategic development potentials and problem configurations within the assets of open-ended property funds and other institutional investors.
Abstract: German open‐ended property fund shows that a strategic management of property investment is indispensable. Suggests that it is possible and fruitful to adapt the instruments for strategic management used by industrial companies to fit the needs of property companies (such as the five‐forces model and the value chain developed by Porter, the strategic portfolio analysis developed by McKinsey, etc.). In the long‐term perspective of institutional investors, dynamic factors such as use, flexibility, productivity and competitive advantages play a much more important role. These thoughts have led to the need to build an operational model for the analysis and “strategic” valuation of property portfolios. This kind of portfolio approach emerges as an effective and flexible instrument for identifying and visualizing strategic development potentials and problem configurations within the assets of open‐ended property funds and other institutional investors.

4 citations

Reference EntryDOI
24 Jun 2019
TL;DR: In this paper, the authors discuss how individual-level information processing is affected by group interaction in terms of both cognitive interference and cognitive stimulation, and argue that many research findings can be explained by assuming that group creativity involves motivated information processing of members.
Abstract: According to an information processing perspective, group creativity results from the combination of individual resources into a (creative) group product. This involves information processing at the individual as well as the group level (by means of communication). This chapter first discusses how individual-level information processing is affected by group interaction in terms of both cognitive interference and cognitive stimulation. It then discusses (1) the evidence linking group-level information processing (i.e., communication, information sharing, collaborative problem solving) to group creativity and (2) the factors that stimulate or reduce group-level information processing. It is argued that many research findings can be explained by assuming that group creativity involves motivated information processing of members.

4 citations


Authors

Showing all 323 results

NameH-indexPapersCitations
Bernard Cova5121810641
Holger Patzelt421419893
Reint Gropp381306525
Evi Hartmann351005376
Constantin Blome35825849
Andreas Rasche301274273
Günter Schmidt291193688
John L. Glascock28882638
David C. Lane27823045
Ben R. Craig261323186
Dirk Schiereck254013311
Stefan Smolnik251292080
Utz Schäffer251902316
Michael M. Bechtel25752126
Nils Urbach251803614
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202120
202014
201912
201821
201717
201612