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This study proposes targeted modernization of the Department of Defense (DoD's) Joint Forces Ammunition Logistics information system by implementing the optimized innovative information technology open architecture design and integrating Radio Frequency Identification Device data technologies and real-time optimization and control mechanisms as the critical technology components of the solution. The innovative information technology, which pursues the focused logistics, will be deployed in 36 months at the estimated cost of $568 million in constant dollars. We estimate that the Systems, Applications, Products (SAP)-based enterprise integration solution that the Army currently pursues will cost another $1.5 billion through the year 2014; however, it is unlikely to deliver the intended technical capabilities.

To provide a primer on the major project management protocols and examples of how these protocols have been used to manage library projects.

The chapter presents a broad review of the literature on project management in general, and as it has been applied in library settings, including brief histories of each major methodology, its development, component elements, and examples of its use in libraries.

Many of the major project management protocols, such as Six Sigma, Agile, Lean, Scrum, and Waterfall, have been used successfully in library settings across a broad range of areas and project types.

As libraries continue to innovate and expand their services, the management of complex projects and processes has become commonplace. This chapter will serve as a primer on the major project management protocols, highlighting the ways in which they can be used in libraries, and to which types of library projects they have been successfully applied.

This study used confirmatory factor analysis to analyze the secondary data resulting from a service quality survey conducted by a large public library. The library outsourced the development of this survey, which was founded on the well-recognized SERVQUAL and LibQUAL+ service quality models. Applying structural equation modeling and recognized fit indexes to the secondary data, this study determined that the library model did not fit the data and that the data itself were neither reliable nor valid. This study developed a nine-step process for implementing the SERVQUAL model that enables the data derived from SERVQUAL-type implementations to provide superior information for decision making.