AN EXCEL-BASED DECISION SUPPORT SYSTEM FOR SCORING AND RANKING PROPOSED R&D PROJECTS

Anne de Piante Henriksen () and Susan W. Palocsay ()
Additional contact information
Anne de Piante Henriksen: Integrated Science and Technology Department, James Madison University MSC 4102, Harrisonburg, VA 22807, USA
Susan W. Palocsay: Computer Information Systems and Management Science Department, James Madison University, MSC 0202, Harrisonburg, VA 22807, USA

International Journal of Information Technology & Decision Making (IJITDM), 2008, vol. 07, issue 03, 529-546

Abstract: One of the most challenging aspects of technology management is the selection of research and development (R&D) projects from among a group of proposals. This paper introduces an interactive, user-friendly decision support system for evaluating and ranking R&D projects and demonstrates its application on an example R&D program. It employs the scoring methodology developed by Henriksen and Traynor to provide a practical technique that considers both project merit and project cost in the evaluation process, while explicitly accounting for trade-offs among multiple decision criteria.1The framework of the Excel-based system, PScore, is presented with an emphasis on the potential benefits of using this methodology with computer-automated extensions that facilitate and enhance managerial review and decision-making capabilities.

Keywords: R&D project evaluation; R&D project selection; scoring; ranking; interactive decision support (search for similar items in EconPapers)
Date: 2008
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219622008003022
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijitdm:v:07:y:2008:i:03:n:s0219622008003022

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219622008003022

Access Statistics for this article

International Journal of Information Technology & Decision Making (IJITDM) is currently edited by Yong Shi

More articles in International Journal of Information Technology & Decision Making (IJITDM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().