ISCRAM Digital Library
Home
|
Show All
|
Simple Search
|
Advanced Search
Login
Quick Search:
Field:
main fields
author
title
publication
keywords
abstract
area
conference
contains:
...
1–1 of 1 record found matching your query (
RSS
):
Search & Display Options
Search within Results:
Field:
author
title
year
keywords
abstract
type
publication
abbrev_journal
volume
issue
pages
thesis
publisher
place
editor
series_title
language
area
notes
call_number
serial
contains:
...
Exclude matches
Display Options:
Field:
all fields
keywords & abstract
additional fields
records per page
Select All
Deselect All
<<
1
>>
List View
|
Citations
|
Details
Record
Links
Author
Victor A. Bañuls
;
Cristina López-Vargas
;
Fernando Tejedor
;
Murray Turoff
;
Miguel Ramirez de la Huerga
Title
Validating Cross-Impact Analysis in Project Risk Management
Type
Conference Article
Year
2016
Publication
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management
Abbreviated Journal
ISCRAM 2016
Volume
Issue
Pages
Keywords
Scenarios
;
Cross-Impact Analysis (CIA)
;
Interpretive Structural Modeling (ISM)
;
Risk Events
;
Project Management
Abstract
Companies work increasingly more on projects as a means of executing organizational decisions. However, too many enterprise projects result in failure. Hence, firms should follow a risk management method that drives their projects toward success. Nevertheless, project managers often deal with risks intuitively. This is partly because they lack the proper means to correctly manage the underlying risks which affect the entire cycle of their projects. Therefore, one purpose is to identify the critical events that managers may encounter before the beginning of the project and during its development. In addition, we propose CIA-ISM to represent existing relationships between the unforeseen events in the project?s lifetime and their key performance indicators. This also predicts the influence of risks on project performance over time by means of scenarios. The tool proposed would thus help practitioners to manage enterprise projects risks in a more effective and proactive way. We have validated the predictive capability of the CIA-ISM model with 22 real projects. The results show a high level of predictive capability in terms of risk analysis and key performance indicators.
Address
Corporate Author
Thesis
Publisher
Federal University of Rio de Janeiro
Place of Publication
Rio de Janeiro, Brasil
Editor
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto
Language
English
Summary Language
English
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
2411-3387
ISBN
978-84-608-7984-8
Medium
Track
Analytical Modeling and Simulation
Expedition
Conference
13th International Conference on Information Systems for Crisis Response and Management
Notes
Approved
no
Call Number
Serial
1338
Share this record to Facebook
Select All
Deselect All
<<
1
>>
List View
|
Citations
|
Details
Home
CQL Search
|
Library Search
|
Show Record
|
Extract Citations
Help