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Institution

Technical University of Dortmund

EducationDortmund, Nordrhein-Westfalen, Germany
About: Technical University of Dortmund is a education organization based out in Dortmund, Nordrhein-Westfalen, Germany. It is known for research contribution in the topics: Context (language use) & Large Hadron Collider. The organization has 13028 authors who have published 27666 publications receiving 615557 citations. The organization is also known as: Dortmund University & University of Dortmund.


Papers
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Journal ArticleDOI
TL;DR: Practical guidelines for reporting experiments on issues such as the selectivity, specificity, productivity and stability of biocatalysts, as well as on methodological problems related to reactions in multiphase systems are given.

149 citations

Journal ArticleDOI
TL;DR: Customer misbehavior in service settings is problematic for two reasons: (1) because of the direct damage it causes and (2) Because of additional negative effects that arise from the contagion of s...
Abstract: Customer misbehavior in service settings is problematic for two reasons: (1) because of the direct damage it causes and (2) because of additional negative effects that arise from the contagion of s...

149 citations

Journal ArticleDOI
TL;DR: In this paper, the abilities of different species of seaweeds and their derivatives to remove a range of heavy metals from solution under standard laboratory conditions were determined, and the effect of the presence of more than one metal ion in solution was investigated in order to determine whether any competition effects might have affected metal-ion uptake.

149 citations

Book
01 Jan 2002
TL;DR: This paper aims to provide a Discussion of the Overvaluation of Sampling and Selection in relation to Distributed Populations and its Applications in the context of Genetic Repair.
Abstract: Foreword. Acknowledgments. 1. Introduction. 2. Preliminaries. 3. The (1+1)-ES: Overvaluation. 4. The (mu, lambda)-ES: Distributed Populations. 5. The (mu/mu, lambda-ES: Genetic Repair. 6. Comparing Approaches to Noisy Optimization. 7. Conclusions. Appendices. A. Some Statistical Basics. B. Some Useful Identities. C. Computing the Overvaluation. D. Determining the Effects of Sampling and Selection. References. Index.

149 citations

Journal ArticleDOI
TL;DR: In this paper, the effects of different risk dimensions (financial, performance, social) on the intensity of access-based service usage, as well as the latter's influence on ownership reduction were investigated.
Abstract: Services that let customers access goods, such as car-sharing, are gaining increasing relevance as an alternative to ownership. These access-based services allow consumers to avoid the “burdens of ownership”, i.e., risks and responsibilities that come with owning a good. However, the interplay between consumers’ risk perception of ownership, access-based service usage, and the subsequent decision to reduce or forgo ownership has not been sufficiently investigated. Based on risk perception theory, we hypothesize the effects of different risk dimensions (financial, performance, social) on the intensity of access-based service usage, as well as the latter’s influence on ownership reduction. Using a unique dataset that links survey and actual usage data of car-sharing users, we test four corresponding hypotheses. The results reveal that access-based service usage is positively influenced by all three ownership risk perceptions. Moreover, a higher usage of an access-based service increases the likelihood that consumers subsequently reduce ownership.

148 citations


Authors

Showing all 13240 results

NameH-indexPapersCitations
Hermann Kolanoski145127996152
Marc Besancon1431799106869
Kerstin Borras133134192173
Emmerich Kneringer129102180898
Achim Geiser129133184136
Valerio Vercesi12993779519
Jens Weingarten12889674667
Giuseppe Mornacchi12789475830
Kevin Kroeninger12683670010
Daniel Muenstermann12688570855
Reiner Klingenberg12673370069
Claus Gössling12677571975
Diane Cinca12682270126
Frank Meier12467764889
Daniel Dobos12467967434
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023131
2022306
20211,694
20201,773
20191,653
20181,579