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Daniel Veit

Researcher at University of Augsburg

Publications -  142
Citations -  3483

Daniel Veit is an academic researcher from University of Augsburg. The author has contributed to research in topics: Computer science & Grid. The author has an hindex of 22, co-authored 129 publications receiving 3029 citations. Previous affiliations of Daniel Veit include University of Bayreuth & University of Mannheim.

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Proceedings Article

More than fun and money. Worker motivation in crowdsourcing - a study on mechanical turk

TL;DR: This work adapts different models from classic motivation theory, work motivation theory and Open Source Software Development to crowdsourcing markets and finds that the extrinsic motivational categories have a strong effect on the time spent on the platform.
Journal ArticleDOI

A critical survey of agent-based wholesale electricity market models

TL;DR: Agent-Based Computational Economics (ACE) is a fairly young research paradigm that offers methods for realistic electricity market modeling as discussed by the authors, and a growing number of researchers have developed agent-based models for simulating electricity markets.
Posted Content

Business Models: An Information Systems Research Agenda

TL;DR: It is argued that the BISE community offers distinct and unique competencies that can be harnessed for significant research contributions to this field and within this research gap three distinct streams are delineated.
Journal ArticleDOI

Business models: An information systems research agenda

TL;DR: In this article, the authors identify the business model concept as the missing link between business strategy, processes, and Information Technology (IT), and argue that the BISE community offers distinct and unique competencies (e.g., translating business strategies into IT systems, managing business and IT processes, etc.).
Posted Content

Business Models – an Information Systems Research Agenda

TL;DR: In this paper, the authors identify the business model concept as the missing link between business strategy, processes, and Information Technology (IT), and argue that the BISE community offers distinct and unique competencies (e.g., translating business strategies into IT systems, managing business and IT processes, etc.).