scholarly journals Risk Management Method In It Project: A Review

2016 ◽  
Vol 7 (3) ◽  
pp. 173
Author(s):  
Ikhtiar Faahakhododo ◽  
Indra Dwi Rianto
Keyword(s):  
Risk Management ◽  
Software Process ◽  
Meta Model ◽  
It Project ◽  
Management Method ◽  
Process Structure ◽  
Model Technique

In the development of a software, there are several aspects that must be taken to ensure that the process can produce a useful product and make a profit. This article clarified some of the methods of risk management exist. There was two techniques to determine the risks used in this study, those were Metrics of Process Structure and Referential Model or could be referred as the Comparison to the Referential Model technique. That technique will produce Software Process Meta Model, Model of Risk Management, and Manage Risks in Project models. Those models were used to help managers in mapping the risks of the project.

Dealing with Risk: A Practical Approach

1996 ◽  
Vol 11 (4) ◽  
pp. 333-346 ◽  
Author(s):  
Fred J. Heemstra ◽  
Rob J. Kusters
Keyword(s):  
Risk Management ◽  
Practical Approach ◽  
Successful Outcome ◽  
Software Projects ◽  
Counter Measures ◽  
Neutral Process ◽  
Related Approach ◽  
Process Risk ◽  
Management Method

Most software projects take place in a volatile environment in which many dangers exist that may affect the successful outcome of the project. After completion of the project an evaluation may show that many of the problems encountered during the project could have been foreseen before they actually occurred. Risk management is an approach that is aimed at predicting the occurrence of this type of problem and at taking counter measures to either prevent them from affecting the project or to soften their impact. In this paper the basic activities related to risk management are described. Furthermore a concrete method aimed at supporting risk management is presented. This method has been used successfully in practice. Some of the results obtained by using it are presented on the basis of five cases. Some conclusions are that: (1) the use of a short and structured checklist will ease identification of and discussions about risks, (2) a risk management method in which explicit use is made of a group related approach, involving all parties, will increase reliability and acceptance of the results, and (3) involvement of a neutral process risk advisor will further both the successful use of the method and the acceptance of the results.

Meta Model Based Architecture for Software Process Instantiation

2009 ◽  
pp. 63-74 ◽  
Author(s):  
Peter Killisperger ◽  
Markus Stumptner ◽  
Georg Peters ◽  
Georg Grossmann ◽  
Thomas Stückl
Keyword(s):  
Software Process ◽  
Meta Model ◽  
Model Based

A Study on Risk Management Method for Mobile Payment

2016 ◽  
Vol 17 (1) ◽  
pp. 193
Author(s):  
Chang-Youl Choi ◽  
Hyung-Bum Ham
Keyword(s):  
Risk Management ◽  
Mobile Payment ◽  
Management Method

The Support of Knowledge Process to Enhance Risk Analysis in Jordanian Telecommunication Companies

2012 ◽  
Vol 11 (02) ◽  
pp. 1250013 ◽  
Author(s):  
Louay Karadsheh ◽  
Samer Alhawari ◽  
Amine Nehari Talet
Keyword(s):  
Risk Management ◽  
Developing Countries ◽  
Risk Analysis ◽  
Project Success ◽  
Business Environment ◽  
Knowledge Process ◽  
Knowledge Based ◽  
It Project ◽  
Telecommunication Companies ◽  
It Project Success

The purpose of this paper is to study how Jordanian companies use the knowledge process to support risk analysis and how they deal with and foster it. The present empirical study is based on a sample of the data collected from 180 respondents, drawn randomly from Jordanian Telecommunication Companies. It provides a contribution to the literature about knowledge-based risk analysis in one of the developing countries as a framework to keep organisations competitive within the global business environment. This paper makes the following contributions. First, it demonstrates that according to project stakeholders, individual risk management activities, like for instance risk identification, are able to contribute to project success. Second, this paper provides insight in how knowledge process to support risk analysis and how they deal with and foster risk management activities to contribute in IT project success. And third, based on this new perspective, this paper provides new directions for further research into the mechanisms on how knowledge process support risk analysis in risk management to contribute in IT project success. The results of the survey show that the four selected factors (knowledge-based risk rationalise, knowledge-based risk comprehension, knowledge-based risk examination, and knowledge-based risk validation) have a significant impact on risk analysis. Due to the literature limitation about the KM model in developing countries, the current study will contribute to this field by addressing the knowledge-based risk. The findings will certainly help both researchers and practitioners in future knowledge management (KM) process, and risk analysis research. In order to get a better understanding of the knowledge processes on risk analysis, future research endeavours should focus on several other countries for comparative purposes.

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