scholarly journals PENGUKURAN RISIKO PROYEK PADA PERUSAHAAN TEKNOLOGI INFORMASI DI INDONESIA

Author(s):  
Rudy M Harahap ◽  
Andri Setiawan ◽  
Adi Subakti Kurniawan ◽  
Merlin Mulia

The success rate of information technology (IT) projects is still low. Based on one survey done in 1990s, only about 10% of software development project could be finished according to its planned budget and schedule. Another study in 1995 found that only 16.2% IT project succeed, and at the same time more than 31% IT projects were cancelled before finished. It has been found a lot of IT projects had been implemented with swelling budget. Although it is still debatable, one of the reasons of IT project implementation failure is because risk management in some IT projects is not implemented by the IT providers. The objectives of this research are to get knowledge and assess risks in implementing IT projects. This research also gives recommendations in mitigating IT project risks. In two projects that were used as sample of this research, it has been found some risks that could be happened in IT projects. That risks were then assessed based on the probability and its impact, and finally produced the recommendation for risk mitigation. All risks are described in the Risk Priority, moreover risk probability and impact is described in the probability-impact matrix from all of 4 levels. This research could improve the awareness of IT providers in Indonesia about the important of implementing IT risk management so that more IT projects in Indonesia could be run successfully.Keywords: Risk assessment, information technology project, impact, frequency

Author(s):  
Kornelius Irfandhi

The companies are facing some risks due to changes in a dynamic environment. If risks are not managed properly, it will have some negative impacts on the companies at the present and the future. One important function of the Information Technology (IT) governance is risk management. Risk management in IT project aims to provide a safe environment for IT projects undertaken. Risk management becomes an important process for the success of IT projects. This article discussed the risk of IT project and whether there was a relationship between risk management and the success of the project. The method used was performing a literature review of several scientific articles which published between 2010 and 2014. The results of this study are the presence of risk management and risk manager influence the success of the project. Risk analysis and risk monitoring and control also have a relationship with the subjective performance of IT projects. If risk management is applied properly, the chance of the success of the projects undertaken can be increased. 


2012 ◽  
pp. 1601-1624
Author(s):  
Robert J. Hammell ◽  
Julie Hoksbergen ◽  
James Wood ◽  
Mark Christensen

With the growing complexity of information technology (IT) projects, the management of these projects is proving to be a daunting task. The magnitude of this problem is underscored by the assertion that approximately 70% of IT projects fail to meet their objectives (Lewis, 2007). Computational intelligence (CI) is an area of research focused on developing intelligent systems to help with complex problems. Specifically, CI seeks to integrate techniques and methodologies to assist in problem domains in which information, data and perhaps even the problem itself are vague, approximate, and uncertain. It would seem that research aimed at leveraging the power of CI against IT project management problems is critical if IT project success rates are to be improved. This work examines the core CI technologies – fuzzy logic, neural networks, and genetic algorithms – and looks at current and potential future applications of these techniques to assist IT project managers.


Author(s):  
Robert J. Hammell ◽  
Julie Hoksbergen ◽  
James Wood ◽  
Mark Christensen

With the growing complexity of information technology (IT) projects, the management of these projects is proving to be a daunting task. The magnitude of this problem is underscored by the assertion that approximately 70% of IT projects fail to meet their objectives (Lewis, 2007). Computational intelligence (CI) is an area of research focused on developing intelligent systems to help with complex problems. Specifically, CI seeks to integrate techniques and methodologies to assist in problem domains in which information, data and perhaps even the problem itself are vague, approximate, and uncertain. It would seem that research aimed at leveraging the power of CI against IT project management problems is critical if IT project success rates are to be improved. This work examines the core CI technologies – fuzzy logic, neural networks, and genetic algorithms – and looks at current and potential future applications of these techniques to assist IT project managers.


2016 ◽  
Vol 15 (04) ◽  
pp. 1650046 ◽  
Author(s):  
Miwa Nishinaka

This study examines the process of building common understanding in a case study of an international information technology (IT) project. A literature review situates the subject of common understanding among fields of research and identifies issues that are insufficiently explored. Our quantitative and qualitative surveys in the case study reveal that common understanding relates to experience. It also establishes that there are situational variations in common understanding. The theoretical implications are presented about the acquisition of common understanding in diverse organisations and the relations to employee experience. It shows that the nature of common understanding shifts from inductive to deductive knowledge as employees accumulate experience in international IT projects.


Author(s):  
Marly M. de Carvalho ◽  
Fernando J.B. Laurindo ◽  
Marcelo de Paula Pessoa

This chapter focuses on applying the best practices in Information Technology (IT) project management in Brazil. The theoretical models adopted to discuss this issue are the Capability Maturity Model - CMM (Humphrey, 1989; Paulk et al., 1995), Project Management Maturity Model – PMMM (Kerzner, 2000 and 2001); the Project Management Body of Knowledge - PMBoK (PMI, 2000), and Quality Systems for software - ISO9000-3 (2001) and ISO 12207 (1995). Several problems have been discussed regarding the efficiency of IT projects. Evaluation of efficiency is a controversial issue, and meeting project efficiency goals involves balancing scope expectations and the available resources. This chapter presents IT project cases in Brazilian companies and a comparative analysis of their IT projects management models. The study is based on multiple cases: financial services, telecommunications and building materials companies. Interviews with the main actors from different levels of the organisational hierarchy have been done.


2020 ◽  
Vol 8 (2) ◽  
pp. 156-172
Author(s):  
G. K. Deshmukh ◽  
Hory Sankar Mukerjee ◽  
U. Devi Prasad

Global information technology projects are risky with failure rates for customer relationship management information technology (CRM IT) projects estimated to 70 percent. These failures are often due to multiplicity of factors including poor risk management. The project management literature points out four broad types of risks: technical, external, organizational, and other risk factors. Project manager’s basic job, therefore, becomes to manage the risks and ensure that an IT project is steered to completion while meeting the objectives. Unmanaged risks run into chances of failure and ultimately impacting the CRM project and the reputation of the consultant. Payne and Frow’s (2005) advocates the need for a structured study on the information technology implementations of these projects. The objectives of the study are to investigate: how project risks in CRM- IT implementations impact the final outcome and how the risk management process adopted by the IT project manager impacts the final outcome of the project. The research was conducted administering questionnaire to 135 project managers. It was found that project risk impact cost, time, and technical performance and risk management process impacts planning, support of customers as well as top management.


2012 ◽  
Vol 27 (1) ◽  
pp. 17-34 ◽  
Author(s):  
Hazel Taylor ◽  
Edward Artman ◽  
Jill Palzkill Woelfer

The gap between research and practice is strikingly evident in the area of information technology (IT) project risk management. In spite of extensive research for over 30 years into IT project risk factors resulting in normative guidance on IT project risk management, adoption of these risk management methods in practice is inconsistent. Managing risk in IT projects remains a key challenge for many organizations. We discuss barriers to the application of normative prescriptions, such as assessments of probability and impact of risk, and suggest a contingency approach, which addresses the uncertainties, complexities, and ambiguities of IT projects and enables early identification of high-risk projects. Specifically, in a case study, we examine how the project management office (PMO) at one organization has bridged the gap between research and practice, developing a contingency-based risk assessment process well founded on research knowledge of project dimensions related to project performance, while also being practical in its implementation. The PMO's risk assessment process, and the risk spider chart that is the primary tool in this assessment, has proven to be effective for surfacing inherent risk at the early stages of IT projects, thereby enabling the recommendation of appropriate management strategies. The PMO's project risk assessment process is a model for other organizations striving to engage in effective and collaborative practices in order to improve project outcomes. The case illustrates the importance of considering the practical constraints of the context of application in order to transform research findings into practices that promote attainment of desired outcomes.


Author(s):  
Boris Todorović ◽  
Miroslav Matić

This study is focused on the software development process, viewed from perspective of information technology project manager. Main goal of this research is to identify challenges in managing such projects and provide a model for delivering software solutions that satisfies client’s expectations. Project management theory describes six constraints or variables in every project, which project managers can use to better control the project and its outputs. Fixing some of the six project management constraints (scope, cost, time, risks, resources or quality) will allow project manager to focus on most important project aspects, rather than being drawn between all of the variables.This paper is aimed at information technology project managers and portfolio managers, as it describes the practical application of this model on a software development project. Findings of this research support the theory that, by applying good project management practice and focusing on project/business-critical requirements, will enable project managers to complete projects successfully and within tolerance limits. Results show that by identifying key business constraints, project managers can create good balance of six constraints and focus on the most important ones, while allowing other constraints to move between limits imposed by clients and stakeholders.


Author(s):  
Emad Abu-Shanab ◽  
Ashraf Al-Saggar

Information Technology (IT) projects have high failure and escalation rates because of the nature of domain and the rapid technology changes. It is important to understand the factors causing IT project success or failure. This chapter reviews the literature related to project failure and escalation and concludes with 17 important factors that cause IT projects to fail and 10 factors that contribute to the escalation of projects in time, cost, or scope. The concluded factors are utilized in an empirical study to explore the Jordanian environment and check the rank of these factors as perceived by Jordanian specialists. Conclusions and future work are stated at the end of this chapter.


Author(s):  
Maggie McPherson

Although project management is often said to have its roots in other traditional fields, such as construction, Morris (2002) asserts that modern project management practices have their origins in the 1950s US aerospace agencies. Much has been written about Information System (IS) / Information Technology (IT) project initiatives in both the public and private sectors. In fact, many information systems frequently fall short of their requirements, and are, more often than not, costlier and arrive later than anticipated, if indeed they are completed at all. For instance, according to a report for the Organization for Economic Co-operation and Development (2001), failures of major IT investments and key systems development projects have raised concerns for the achievement of service improvement through information technology. Additionally, it has been argued that failures in IT projects are more common than failures in any other aspect of modern business (Nulden, 1996). The widely-cited Standish Group (1994) study, carried out in the US, classified IT projects as follows: • Resolution Type 1 (Project Success): The project is completed on-time and on-budget, with all features and functions as initially specified. • Resolution Type 2 (Project Challenged): The project is completed and operational but over-budget, over the time estimate, and offers fewer features and functions than originally specified. • Resolution Type 3 (Project Impaired): The project is cancelled at some point during the development cycle. The report estimated the success rate was only 16.2%, while challenged projects accounted for 52.7%, and impaired projects (cancelled) amounted to 31.1%. Since large complex projects in any area are difficult to organize, it could be said that the level of abstraction required often leads to a lack of understanding between all stakeholders involved with the project. Callahan and Moretton (2001) describe software design as being “in the code”. They assert that since it is not visible, it makes it hard to use software design as a focal point for development project coordination and integration, unlike many physical designs which can be made visible to all project participants. As a result of this “invisibility”, managing the development of an IS project is arguably more problematic than project management within the manufacturing sector because software development is often a highly conceptual and complex process. Indeed, a lack of adequate project management knowledge could be said to be a major contributing factor to unsuccessful IS projects. For instance, as project managers should be aware, unless specific objectives and clear-cut end points have been set, it can be difficult to know if a milestone has been reached and indeed if the required end-product has been produced. However, making use of proprietary tools such as Microsoft™ Project is sometimes mistakenly thought of as project management, whereas real project management expertise goes beyond the mere production of Gantt or Pert (Program Evaluation Review Technique) charts, which simply represent project activities in the form of bar charts or flow diagrams. As Mandl-Striegnitz et al. (1998) point out, important project management techniques include estimation of costs and explicit identification of risks. Clearly, there is a need for more in-depth research to gain a better understanding relating to the complex role of project management within the whole IS design and development process. This discussion considers how these problems affect contemporary IS project management research and explores the methodological approaches open to researchers carrying out investigations in this area.


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