Integrated AHP-TOPSIS Model for Software Selection Under Multi-criteria Perspective
Santanu Kumar Misra () and
Amitava Ray ()
Additional contact information
Santanu Kumar Misra: Sikkim Manipal Institute of Technology
Amitava Ray: Sikkim Manipal Institute of Technology
A chapter in Driving the Economy through Innovation and Entrepreneurship, 2013, pp 879-890 from Springer
Abstract:
Abstract Improvement productivity in business and in day-to-day life IT (information technology) applications is becoming the most dominating field. As per the business point of view, the success or failure of a business organisation mostly depends on IT (information technology). In this point of view, software project selection is an important issue for many organisations. Sometimes, in product development scenario, inappropriate software selection cannot meet the balance between the input investments and the expected results. In this chapter, we present an analytical model which is based on multi-criteria decision-making approach for selection of appropriate software project using AHP (analytical hierarchy process) and TOPSIS (technique for order preference by similarity of ideal solution) models. Additionally, it is also defining the optimum order among software with prospecting their competency measured by sensitivity analysis in combination with subjective factor and objective factors.
Keywords: Software Selection; Analytic Hierarchy Process (AHP); Software Project Survival; Negative Ideal Solution (NIS); Objective Factor Measure (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations: View citations in EconPapers (1)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:spr:sprchp:978-81-322-0746-7_72
Ordering information: This item can be ordered from
http://www.springer.com/9788132207467
DOI: 10.1007/978-81-322-0746-7_72
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().