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6961 A requirements engineering framework for cross-organizational ERP systems
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Daneva, M. and Wieringa, R.J. (2006) A requirements engineering framework for cross-organizational ERP systems. Requirements engineering, 11 (3). pp. 194-204. ISSN 0947-3602 *** ISI Impact 0,931 ***

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Official URL: http://dx.doi.org/10.1007/s00766-006-0034-9

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Abstract

The development of cross-organizational enterprise resource planning (ERP) solutions is becoming increasingly critical to the business strategy of many networked companies. The major function of cross-organizational ERP solutions is to coordinate work in two or more organizations. However, how to align ERP application components and business requirements for coordination and cooperation is hardly known. This paper reports on the outcomes of applying a coordination theory perspective to an analysis of the ERP misalignment problem. We present a conceptual framework for analyzing coordination and cooperation requirements in inter-organizational ERP projects. The framework makes explicit the undocumented built-in assumptions for coordination and cooperation that may have significant implications for the ERP adopters and incorporates a library of existing coordination mechanisms supported by modern ERP systems. We use it to develop a proposal for how to achieve a better alignment between ERP implementations and supported business coordination processes in inter-organizational settings. We report on some early assessments of the implications of our framework for practicing requirements engineers. Both our framework and library rest on a literature survey and the first author’s experience with ERP implementation. In future empirical research, we will further validate and refine our framework.

Item Type:Article
Research Group:EWI-IS: Information Systems
Research Program:CTIT-ASI: A-services Internet
Research Project:CARES: Collaborative Alignment of cRoss-organizational ERP Systems, VITAL: Value-based IT ALignment
ID Code:6961
Status:Published
Deposited On:23 June 2009
Refereed:Yes
International:Yes
ISI Impact Factor:0,931
More Information:statisticsmetis

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