University of Mannheim

About: University of Mannheim is a education organization based out in Mannheim, Germany. It is known for research contribution in the topics: Population & European union. The organization has 4448 authors who have published 12918 publications receiving 446557 citations. The organization is also known as: Uni Mannheim & UMA.

Limited Liability and Incentive Contracting with Multiple Projects

Abstract: I examine a principal-agent model with multiple projects where a risk-neutral manager is protected by limited liability. The analysis has several interesting implications: (i) incentive problems are shown to be a natural source of economies of scope, as combining multiple projects under the management of a single manager relaxes the limited-liability constraint; (ii) as a result, managers may be overloaded with work and exert inefficiently high effort; and (iii) the analysis has implications for the optimal allocation of projects to different managers. Copyright 2001 by the RAND Corporation.

Fine-Grained Sentiment Analysis with Structural Features

Abstract: Sentiment analysis is the problem of determining the polarity of a text with respect to a particular topic. For most applications, however, it is not only necessary to derive the polarity of a text as a whole but also to extract negative and positive utterances on a more finegrained level. Sentiment analysis systems working on the (sub-)sentence level, however, are difficult to develop since shorter textual segments rarely carry enough information to determine their polarity out of context. In this paper, therefore, we present a fully automatic framework for fine-grained sentiment analysis on the subsentence level combining multiple sentiment lexicons and neighborhood as well as discourse relations to overcome this problem. We use Markov logic to integrate polarity scores from different sentiment lexicons with information about relations between neighboring segments, and evaluate the approach on product reviews. The experiments show that the use of structural features improves the accuracy of polarity predictions achieving accuracy scores of up to 69%.

Relationship Characteristics as Moderators of the Satisfaction-Loyalty Link: Findings in a Business-to-Business Context

Abstract: The paper presents empirical evidence for conditions under which the relationship between customer satisfaction and customer loyalty will be stronger or weaker. Drawing on relational exchange theory the authors suggest that the relationship between satisfaction and loyalty will be weaker in the case of a highly relational exchange. Empirical findings in an international business-to-business context support this reasoning. The paper provides implications for practice and suggests a set of issues for future research.

Endogenous entry in contests

Abstract: We report the results of laboratory experiments on rent-seeking contests with endogenous participation. Theory predicts that (a) contest entry and rent-seeking expenditures increase with the size of the prize and (b) earnings are equalized between the contest and the outside option. While the directional predictions offered in (a) are supported in the data, the level predictions are not. Prediction (b) is not supported in the data: when the prize is large, contest participants earn more than the outside option. When the prize is small, contest participants earn less. Previous studies of gender and contest competition suggest that females should (a) not perform as well in the contest; and (b) enter at a lower rate. We find some support for (a) but not for (b). Women participate in the contest at the same rate as men.