Half-Life of Learning Curves for Information Technology Project Management

Author(s):  
Adedeji B. Badiru

Learning curves are used extensively in business, science, technology, engineering, and industry to predict system performance over time. Although most of the early development and applications were in the area of production engineering, contemporary applications can be found in all areas of applications. Information technology project management, in particular, offers a fertile area for the application of learning curves. This paper applies the concept of half-life of learning curves to information technology project management. This is useful for predictive measures of information technology system performance. Half-life is the amount of time it takes for a quantity to diminish to half of its original size through natural processes. The approach of half-life computation provides an additional decision tool for researchers and practitioners in information technology management. Derivation of the half-life equations of learning curves can reveal more about the properties of the various curves with respect to the unique life-cycle property of information technology.

Author(s):  
Adedeji B. Badiru

Learning curves are used extensively in business, science, technology, engineering, and industry to predict system performance over time. Although most of the early development and applications were in the area of production engineering, contemporary applications can be found in all areas of applications. Information technology project management, in particular, offers a fertile area for the application of learning curves. This paper applies the concept of half-life of learning curves to information technology project management. This is useful for predictive measures of information technology system performance. Half-life is the amount of time it takes for a quantity to diminish to half of its original size through natural processes. The approach of half-life computation provides an additional decision tool for researchers and practitioners in information technology management. Derivation of the half-life equations of learning curves can reveal more about the properties of the various curves with respect to the unique life-cycle property of information technology.


2016 ◽  
pp. 138-153
Author(s):  
Anna Szopa ◽  
Beata Jałocha

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.


Author(s):  
Evon M.O. Abu-Taieh ◽  
Jeihan M. Abu-Tayeh ◽  
Alia Abu-Tayeh

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.


2013 ◽  
pp. 1020-1034
Author(s):  
Evon M.O. Abu-Taieh ◽  
Jeihan M. Abu-Tayeh ◽  
Alia Abu-Tayeh

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.


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