Information Technology Project Management and Project Success

2012 ◽  
Vol 3 (3) ◽  
pp. 31-44 ◽  
Author(s):  
Alan R. Peslak
Keyword(s):  
Information Technology ◽  
Project Management ◽  
Project Success ◽  
Secondary Data ◽  
Information Technology Professionals ◽  
Application Development ◽  
It Project ◽  
Information Technology Project ◽  
It Project Success ◽  
Information Technology Project Management

One of the most important issues for organizations and information technology professionals is the success of information technology (IT) projects. This study reviews a survey of financial executives and examines their views on aspects of project management and project success. First, it was found that overall systems development projects are viewed as being successful by organizations. Next, a series of analyses were performed to assess several variables’ impact on IT project success. Skilled project measurement was found to result in higher IT project success. Restrictions on IT application development were found to correlate to lower IT project success. The most important project consideration did not affect project success. Finally, a significant positive relationship was found between the IT project success and overall IT returns. The implications, limitations, and conclusions of these findings are discussed. The study can be used as a basis for further exploration on project management success, influencing variables, and motivators. The findings can also be used to guide management teams in project management decisions to maximize returns to their organizations. The paper studies a large secondary data sample set, which empirically reviews corporations’ experiences with project management. In addition, it explores variables influencing overall project management success perception.

Computational Intelligence for Information Technology Project Management

2012 ◽  
pp. 1601-1624
Author(s):  
Robert J. Hammell ◽  
Julie Hoksbergen ◽  
James Wood ◽  
Mark Christensen
Keyword(s):  
Information Technology ◽  
Project Management ◽  
Computational Intelligence ◽  
Intelligent Systems ◽  
Project Managers ◽  
Success Rates ◽  
It Projects ◽  
It Project ◽  
Information Technology Project ◽  
Information Technology Project Management

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.

Computational Intelligence for Information Technology Project Management

2010 ◽  
pp. 80-104 ◽  
Author(s):  
Robert J. Hammell ◽  
Julie Hoksbergen ◽  
James Wood ◽  
Mark Christensen
Keyword(s):  
Information Technology ◽  
Project Management ◽  
Computational Intelligence ◽  
Intelligent Systems ◽  
Project Managers ◽  
Success Rates ◽  
It Projects ◽  
It Project ◽  
Information Technology Project ◽  
Information Technology Project Management

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.

Information Technology Project Management to Achieve Efficiency in Brazilian Companies

2003 ◽  
pp. 260-271 ◽  
Author(s):  
Marly M. de Carvalho ◽  
Fernando J.B. Laurindo ◽  
Marcelo de Paula Pessoa
Keyword(s):  
Information Technology ◽  
Project Management ◽  
Financial Services ◽  
Building Materials ◽  
Theoretical Models ◽  
Maturity Model ◽  
It Projects ◽  
It Project ◽  
Information Technology Project ◽  
Information Technology Project Management

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.

Project Management in IT Type University Spin-Offs

2016 ◽  
pp. 138-153
Author(s):  
Anna Szopa ◽  
Beata Jałocha
Keyword(s):  
Information Technology ◽  
Project Management ◽  
Organizational Structure ◽  
Business Failure ◽  
Management Process ◽  
Technology Project ◽  
Industry Competition ◽  
Management Processes ◽  
Information Technology Project ◽  
Information Technology Project Management

Poor project management in IT companies, strong industry competition, and small firm fragility are some of the most often cited arguments to justify business failure. This chapter provides an integrated view of concepts involved in information technology project management in university spin-off companies. It includes a presentation of a success story of an IT university spin-off, which from the very beginning of its activity focused mainly on project management processes. The chapter explains how university spin-off organizational structure influences the project management process and discusses important methods and approaches that can determine IT spin-off successes.

Project Management Practices and Project Manager Traits as a Key to Successful Information Systems Implementation

2011 ◽  
Vol 1 (1) ◽  
pp. 37-51
Author(s):  
Evon M.O. Abu-Taieh ◽  
Jeihan M. Abu-Tayeh ◽  
Alia Abu-Tayeh
Keyword(s):  
Information Technology ◽  
Project Management ◽  
Information Systems ◽  
Best Practices ◽  
Management Practices ◽  
Project Manager ◽  
Technology Project ◽  
Science And Art ◽  
Information Technology Project ◽  
Information Technology Project Management

Information Technology project management lingers between science and art. Many will not dwell on such a thought, and define the information technology project manager as the one person that gets the information technology project done. This paper introduces 74 best practices and traits for the novice information systems project manager. The 74 personal traits and best practices were collected from 35 project managers and are based on personal experiences on a number of IT projects. This article provides an interactive platform for the information system technology project manager by catering to their needs for practical insights toward efficient and individually tailored project management.

The Effect of Organizational Commitment on Project Outcomes under Common Agency

2015 ◽  
Vol 6 (2) ◽  
pp. 50-71
Author(s):  
Bruce E. Hurst ◽  
Michael H. McGivern
Keyword(s):  
Information Technology ◽  
Project Management ◽  
Organizational Commitment ◽  
Project Success ◽  
The United States ◽  
Common Agency ◽  
Organizational Goals ◽  
Project Outcomes ◽  
Information Technology Project ◽  
Definition Of

This research was undertaken to look at possible ways to broaden the definition of project management success beyond the tradition measures of time, cost, and scope. The research was designed to determine if the human organization comprised of layers of relationships and governance would or could change and reduce the high failure rate attributed to IT projects. The human aspect of conflicting organizational goals, those established by the information technology principal and the business unit principal with the project manager acting as agent, was the foundation for the study. The study expanded project management theory as it related to three variables: organizational commitment, project governance, and complex agency relationships. This was accomplished through a survey distributed to 403 information technology project managers in the United States designed to measure the three variables against the dependent variable project success. The results indicated that governance, organizational commitment, and the effects of common agency on a project manager's performance in meeting what might be conflicting success criteria do have a positive correlation. This research could provide new directions for researchers, project management practitioners, and strategic corporate planners when establishing project success criterion.

scholarly journals Measuring Information System Project Success through a Software-Assisted Qualitative Content Analysis

2019 ◽  
Vol 38 (1) ◽  
pp. 53-70 ◽  
Author(s):  
Jin Xiu Guo
Keyword(s):  
Information System ◽  
Content Analysis ◽  
Project Management ◽  
Project Success ◽  
Qualitative Content Analysis ◽  
Contextual Factors ◽  
Project Assessment ◽  
It Project ◽  
It Project Success ◽  
New Research

Information System (IS)/IT project success is a growing interest in management due to its high impact on organizational change and effectiveness. Libraries have been adopting integrated library systems (ILS) to manage services and resources for years. It is essential for librarians to understand the mechanism of IS project management in order to successfully bring technology innovation to the organization. This study develops a theoretical model of measuring IS project success and tests it in an ILS merger project through a software-assisted qualitative content analysis. The model addresses project success through three constructs: (1) project management process, (2) project outcomes, and (3) contextual factors. The results indicate project management success alone cannot guarantee project success; project outputs and contextual factors also influence success through the leadership of the project manager throughout the lifecycle. The study not only confirms the proposed model in a post-project evaluation, but also signifies that project assessment can reinforce organizational learning, increase the chance of achieving success, and maximize overall returns for an organization. The qualitative content analysis with NVivo 11 has provided a new research method for project managers to self-assess an IS/IT project success systematically and learn from their experiences throughout the project lifecycle.

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