Dynamics in IS Development: A Multi-Method Experiment to Measure the Effects of Disruptions during the Development Process

Dynamics in IS Development: A Multi-Method Experiment to Measure the Effects of Disruptions during the Development Process

Peter Otto, Salvatore Belardo
ISBN13: 9781605666778|ISBN10: 1605666777|EISBN13: 9781605666785
DOI: 10.4018/978-1-60566-677-8.ch032
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MLA

Otto, Peter, and Salvatore Belardo. "Dynamics in IS Development: A Multi-Method Experiment to Measure the Effects of Disruptions during the Development Process." Strategic Information Systems: Concepts, Methodologies, Tools, and Applications, edited by M. Gordon Hunter, IGI Global, 2010, pp. 471-489. https://doi.org/10.4018/978-1-60566-677-8.ch032

APA

Otto, P. & Belardo, S. (2010). Dynamics in IS Development: A Multi-Method Experiment to Measure the Effects of Disruptions during the Development Process. In M. Hunter (Ed.), Strategic Information Systems: Concepts, Methodologies, Tools, and Applications (pp. 471-489). IGI Global. https://doi.org/10.4018/978-1-60566-677-8.ch032

Chicago

Otto, Peter, and Salvatore Belardo. "Dynamics in IS Development: A Multi-Method Experiment to Measure the Effects of Disruptions during the Development Process." In Strategic Information Systems: Concepts, Methodologies, Tools, and Applications, edited by M. Gordon Hunter, 471-489. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-60566-677-8.ch032

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Abstract

The failure of many IS development efforts suggests that the development process, in particular the role that key antecedents play in ensuring success, is poorly understood. Information systems are based on a series of highly complex interrelated tasks that can be significantly affected by organizational (e.g., management attention), project (e.g., resources), and technical (e.g., tools) drivers. Changes or disruptions in these can have severe and, in many cases, unanticipated consequences for IS development efforts. To help understand how disruptions during the IS development initiative affect the quality of the system, we employ the system dynamics methodology to capture feedback from non-linear activities, viz., those that define a systems development effort. The results from the simulation lead to some tangible and timely recommendations to manage an IS development initiative.

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