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John Collins, Wolfgang Ketter,
and Maria Gini. Flexible decision support in dynamic interorganizational networks.
European Journal of Information Systems, 19(4):307–318, 2010.
Final paper available at http://www.palgrave-journals.com/ejis/journal/v19/n4/abs/ejis201024a.html
An effective Decision Support System (DSS) should help its users improve decision-making in complex, information-rich, dynamic environments. We present a feature gap analysis of current decision support technologies, and we identify a set of DSS Desiderata, properties that can contribute both effectiveness and flexibility to users in such environments. We show that there is a gap between the features provided by current DSS technologies and the DSS Desiderata we aim for. We present a design-science approach that extends the boundaries of human decision- makers by creating a new and innovative artifact called “evaluator service networks” at the confluence of people, organizations, and technology. Our artifact enables users to compose decision behaviors from separate, configurable components, and allows dynamic construction of analysis and modeling tools from small, single-purpose evaluator services. The result is a network that can easily be configured to test hypotheses and analyze the impact of various choices for elements of decision processes. We have implemented and tested this design in an interactive version of the MinneTAC trading agent, an agent designed for the Trading Agent Competition for Supply Chain Management. We present an example of an evaluator service network that determines sales prices in a rich, dynamic trading environment. Additionally we describe visual interface elements that allow users to see and manipulate the configuration of the network, and to construct economic dashboards that can display the current and historical state of any node in the network.
@Article{Collins10EJIS,
author = "John Collins and Wolfgang Ketter and Maria Gini",
title = "Flexible decision support in dynamic interorganizational networks",
abstract = "An effective Decision Support System (DSS) should help its users improve decision-making in
complex, information-rich, dynamic environments. We present a feature gap analysis of current
decision support technologies, and we identify a set of DSS Desiderata, properties that can
contribute both effectiveness and flexibility to users in such environments. We show that there
is a gap between the features provided by current DSS technologies and the DSS Desiderata we
aim for. We present a design-science approach that extends the boundaries of human decision-
makers by creating a new and innovative artifact called “evaluator service networks” at the
confluence of people, organizations, and technology. Our artifact enables users to compose
decision behaviors from separate, configurable components, and allows dynamic construction
of analysis and modeling tools from small, single-purpose evaluator services. The result is a
network that can easily be configured to test hypotheses and analyze the impact of various
choices for elements of decision processes. We have implemented and tested this design in an
interactive version of the MinneTAC trading agent, an agent designed for the Trading Agent
Competition for Supply Chain Management. We present an example of an evaluator service
network that determines sales prices in a rich, dynamic trading environment. Additionally we
describe visual interface elements that allow users to see and manipulate the configuration of
the network, and to construct economic dashboards that can display the current and historical
state of any node in the network.",
journal = "European Journal of Information Systems",
year = "2010",
pages = "307--318",
volume = "19",
number = "4",
bib2html_pubtype = {Journal Article},
bib2html_rescat = {Trading Agents: Smart Business Networks},
wwwnote={Final paper available at <a href="http://www.palgrave-journals.com/ejis/journal/v19/n4/abs/ejis201024a.html">http://www.palgrave-journals.com/ejis/journal/v19/n4/abs/ejis201024a.html</a>},
}
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