WorldCat Identities

Riedl, Christoph

Overview
Works: 8 works in 12 publications in 2 languages and 13 library holdings
Genres: Academic theses 
Roles: Author, dgs, Other, Thesis advisor, Contributor
Publication Timeline
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Most widely held works by Christoph Riedl
Application management challenges - service creation - strategies by Frank Keuper( )

3 editions published between 2011 and 2014 in English and held by 3 WorldCat member libraries worldwide

Annotation
Improving Decision Making in Crowdsourcing by Marcel Rhyn( )

3 editions published in 2020 in English and held by 3 WorldCat member libraries worldwide

Crowdsourcing represents a powerful approach for organizations to systematically collect data from large networks of people. While research already made great strides in recent years to develop the technological foundations for processing large amounts of user-generated data, it remains mostly unclear how these new data sources and technologies affect decision making in organizations. The objectives of this dissertation are to (1) identify patterns of decision making that emerge in crowdsourcing, (2) understand how decision making in crowdsourcing can be improved with text mining and machine learning, and (3) capture the necessary design knowledge to develop decision support systems in crowdsourcing. To accomplish these objectives, the dissertation is organized in three research streams. The first research stream aims to describe common patterns of decision making in crowdsourcing. It is based on an exploratory interview study that seeks to offer a better understanding of how the structure of decision problems, the characteristics of the available data, and the way in which such data can be generated in crowdsourcing affect decision making. The second research stream aims to examine how decision making in crowdsourcing can be improved with text mining and machine learning. Statistical analyses are used to better understand how crowds create valuable contributions for organizations and how decision makers can identify and process these contributions more efficiently and effectively. Finally, the third research stream follows a design science research approach. It is concerned with integrating the previous findings and capturing design knowledge to develop decision support systems in crowdsourcing. Taken together, the dissertation provides a number of important theoretical contributions. First, it illustrates the limitations of traditional decision making models in data-driven environments, such as crowdsourcing, and describes fo
Detecting figures and part labels in patents: competition-based development of graphics recognition algorithms by Christoph Riedl( )

1 edition published in 2016 in English and held by 2 WorldCat member libraries worldwide

WI-Studierendenforum Ausgabe 76 by Christoph Riedl( )

1 edition published in 2007 in German and held by 2 WorldCat member libraries worldwide

Product diffusion through on-demand information-seeking behaviour( )

1 edition published in 2018 in English and held by 1 WorldCat member library worldwide

Abstract : Most models of product adoption predict S-shaped adoption curves. Here we report results from two country-scale experiments in which we find linear adoption curves. We show evidence that the observed linear pattern is the result of active information-seeking behaviour: individuals actively pulling information from several central sources facilitated by modern Internet searches. Thus, a constant baseline rate of interest sustains product diffusion, resulting in a linear diffusion process instead of the S-shaped curve of adoption predicted by many diffusion models. The main experiment seeded 70 000 (48 000 in Experiment 2) unique voucher codes for the same product with randomly sampled nodes in a social network of approximately 43 million individuals with about 567 million ties. We find that the experiment reached over 800 000 individuals with 80% of adopters adopting the same product--a winner-take-all dynamic consistent with search engine driven rankings that would not have emerged had the products spread only through a network of social contacts. We provide evidence for (and characterization of) this diffusion process driven by active information-seeking behaviour through analyses investigating (a) patterns of geographical spreading; (b) the branching process; and (c) diffusion heterogeneity. Using data on adopters' geolocation we show that social spreading is highly localized, while on-demand diffusion is geographically independent. We also show that cascades started by individuals who actively pull information from central sources are more effective at spreading the product among their peers
The network dynamics of intragroup conflict by Michael Foley( )

1 edition published in 2020 in English and held by 1 WorldCat member library worldwide

"To improve our understanding of the behaviors of humans and social animals, a more thorough study of conflict is necessary. We argue that the dynamics that occur within groups in the presence of conflict can significantly affect the conventions and norms that are adopted, and that greater insight into these interactions might ultimately be useful in enhancing group stability and cohesion. Historically, the methodologies required to effectively study conflict in group settings have been underdeveloped to deal with the complexities involved. To address this issue, we propose an interdisciplinary approach that employs robust computational and network science methods. First, using agent based modeling, we examine the adoption of conventions in games of conflict when dynamic network learning is present. We find that when agents are allowed to choose their neighbors, the adoption of host-guest norms is strongly favored over the adoption of ownership norms, and the dynamic network topologies that facilitate this difference are heavy-tailed in similar ways to many real world networks. Next, we expand upon the previous model to show that agents with different fitness levels can play different games, and this can have some profound effects on the evolutionary dynamics. Finally, we study the effect of gender and behavioral data on performance of small teams and leadership in a laboratory setting. We are able to show that gender has a significant effect on team efficiency, and we identify a number of behavioral features associated with leadership"--Author's abstract
Conflict and convention in dynamic networks( )

1 edition published in 2018 in English and held by 1 WorldCat member library worldwide

Abstract : An important way to resolve games of conflict (snowdrift, hawk-dove, chicken) involves adopting a convention: a correlated equilibrium that avoids any conflict between aggressive strategies. Dynamic networks allow individuals to resolve conflict via their network connections rather than changing their strategy. Exploring how behavioural strategies coevolve with social networks reveals new dynamics that can help explain the origins and robustness of conventions. Here, we model the emergence of conventions as correlated equilibria in dynamic networks. Our results show that networks have the tendency to break the symmetry between the two conventional solutions in a strongly biased way. Rather than the correlated equilibrium associated with ownership norms (play aggressive at home, not away), we usually see the opposite host-guest norm (play aggressive away, not at home) evolve on dynamic networks, a phenomenon common to human interaction. We also show that learning to avoid conflict can produce realistic network structures in a way different than preferential attachment models
From crowds to collaborators : initiating effort & catalyzing interactions among online creative workers by Kevin J Boudreau( )

1 edition published in 2014 in English and held by 0 WorldCat member libraries worldwide

Online collaborative platforms have emerged as a complementary approach to traditional organizations for coordinating the collective efforts of creative workers. However, it is surprising that they result in any productive output as individuals often work without direct monetary incentives while collaborating with unknown others. In this paper, we distinguish the conditions necessary for eliciting effort from those affecting the quality of interdependent teamwork. We consider the role of incentives versus social processes in catalyzing collaboration. We test our hypotheses using a unique data set of 260 individuals randomly assigned to 52 teams tasked with developing working solutions to a complex innovation problem over 10 days, with varying monetary incentives. We find that levels of effort are driven by cash incentives and the presence of other interacting teammates. The level of collaboration, by contrast, was not sensitive to cash incentives. Instead, individuals increased their communication if teammates were also actively participating. Additionally, team performance is uniquely driven by the level of emergent interdependence, as indexed by the diversity of topics discussed and the temporal coordination of activity in short focused time periods. Our results contribute to the literature on how alternative organizational forms can be designed to solve complex innovation tasks
 
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Audience level: 0.80 (from 0.39 for WI-Studier ... to 1.00 for Applicatio ...)

Application management challenges - service creation - strategies
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Languages
English (11)

German (1)