EconPapers    
Economics at your fingertips  
 

Elucidation of IS project success factors: an interpretive structural modelling approach

D. Laurie Hughes (), Nripendra P. Rana () and Yogesh K. Dwivedi ()
Additional contact information
D. Laurie Hughes: Swansea University Bay Campus
Nripendra P. Rana: Swansea University Bay Campus
Yogesh K. Dwivedi: Swansea University Bay Campus

Annals of Operations Research, 2020, vol. 285, issue 1, No 3, 35-66

Abstract: Abstract This study extends the debate surrounding the components of IS project success by reviewing success factors from the perspective of their interdependency and influence on each other. This research utilises interpretive structural modelling as the methodology and framework to develop the relationships between the selected factors. This approach is presented as a mechanism that can provide greater insight to the underlying causal interrelationships associated with IS project success and the successful transition to operations. The findings identify a number of key outcomes that have significant driving influence on other interconnected factors in the final model. This study highlights the benefits of an interpretive approach where IS factor interrelationships can be modelled to demonstrate potential influence on other connected factors thereby, increasing the chances of project success.

Keywords: Information systems; Projects; Success factors; Critical success factors; Interpretive structural modelling (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

Downloads: (external link)
http://link.springer.com/10.1007/s10479-019-03146-w Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:annopr:v:285:y:2020:i:1:d:10.1007_s10479-019-03146-w

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1007/s10479-019-03146-w

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:annopr:v:285:y:2020:i:1:d:10.1007_s10479-019-03146-w