The service-productivity learning cockpit – a business intelligence tool for service enterprises

URN to cite this document: urn:nbn:de:bvb:703-opus4-9576

Title data

Walther, Sebastian ; Phadke, Gaurang ; Eymann, Torsten:
The service-productivity learning cockpit – a business intelligence tool for service enterprises.
Bayreuth , 2012 . - (Bayreuther Arbeitspapiere zur Wirtschaftsinformatik ; 53 )

	Format: PDF Name: Band 53.pdf Version: Published Version Available under License German copyright law. The document may be used free of charge for personal use. In addition, the reproduction, editing, distribution and any kind of exploitation require the written consent of the respective rights holder.
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Abstract

The paper describes the development of an agent-based simulation tool for hospital managers to manage their productivity of services, especially in the context of supporting services like patient transport logistics. The learning cockpit allows hospital managers to see how the change of inputs changes the overall perceived customer values of all stakeholders and therefore to get a visualization of the impacts their decisions cause. The paper introduces the general research domain service-productivity, followed by a description of the development steps of artefact creation. The learning cockpit is part of a research project called BELOUGA, which is funded by the German government.

Further data

Item Type:	Working paper, discussion paper
Keywords:	BELOUGA; enterprise system tools; agent-based simulation; learning cockpit; service productivity; Benchmarking; Gesundheitswesen
DDC Subjects:	300 Social sciences > 330 Economics
Institutions of the University:	Faculties > Faculty of Law, Business and Economics > Department of Business Administration Faculties Faculties > Faculty of Law, Business and Economics Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration VII - Information Systems Management and Digital Society
Language:	English
Originates at UBT:	Yes
URN:	urn:nbn:de:bvb:703-opus4-9576
Date Deposited:	25 Apr 2014 06:20
Last Modified:	04 Apr 2019 05:42
URI:	https://epub.uni-bayreuth.de/id/eprint/207

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