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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.

Small- and medium-sized enterprises (SMEs) often do not have slack resources with which to develop internally a broad spectrum of capabilities and to observe in depth the firm's environment. Therefore, they need to carefully develop abilities to absorb knowledge from outside the firm's boundaries so as to have access to cutting-edge knowledge in spite of limited resources. One strategy is to establish knowledge management (KM) projects for this purpose. In this paper, we describe how KM projects and subsequently emerging KM routines in SMEs facilitate the enhancement of the firm's absorptive capacity (AC; i.e., the ability to recognize, capture, and assimilate external knowledge). Our results indicate the importance of recognizing potential knowledge providers prior to any absorption of knowledge from external sources. Furthermore, we emphasize the relevance of routines for absorbing knowledge and we distinguish between KM routines that are deliberately developed for absorbing knowledge and KM projects where knowledge absorption happens unconsciously. Finally, we point out that different stages of an AC process follow different logics (exploration vs. exploitation) and, thus, a skilful management of the AC cycle is necessary to leverage externally absorbed knowledge.

Rather than organize as traditional firms, many of today’s companies organize as platforms that sit at the nexus of multiple exchange and production relationships. This chapter considers a most basic question of organization in platform contexts: the choice of boundaries. Herein, I investigate how classical economic theories of firm boundaries apply to platform-based organization and empirically study how executives made boundary choices in response to changing market and technical challenges in the early mobile computing industry (the predecessor to today’s smartphones). Rather than a strict or unavoidable tradeoff between “openness-versus-control,” most successful platform owners chose their boundaries in a way to simultaneously open-up to outside developers while maintaining coordination across the entire system.

This study examines the effect of using a computerized decision aid on student cognitive effort and learning in the first tax course. Students at a mid-western university in the United States prepared a 1040 tax return using either paper or tax software from a given set of taxpayer information. Students using paper forms reported higher levels of cognitive effort than did students using the tax software, however, no association between self-efficacy and cognitive effort was found. A test for association between decision aid type and inferential (higher-level) learning (the third level of Bloom's taxonomy) found cognitive effort to be statistically significant. The study also found a significant interaction between cognitive effort and experience. These results suggest that paper forms, which require students to work through task processes, may be better instructional tools for helping students acquire a deeper understanding of subject matter. Although tax software provides potential benefits of increased accuracy and speed, practitioners should be aware of its limitations as a learning tool.

Purpose – This is a comparison of the role of the police in the enforcement of immigration law in the interiors of three nations: Germany, the United Kingdom, and the United States.

Methodology – The study builds upon research the authors have already done as well as desk research on recent developments. It uses three dimensions of the problem to focus the report: the hardware, software, and culture of police involvement in this issue.

Findings – In Germany, the local police are responsible for the enforcement of immigration control and have relatively fast and reliable means to identify undocumented immigrants. This is not the case in the United Kingdom and the United States, but there are trends toward more local police involvement, both by institutional cooperation and by the development of better databases and documents for faster identification. These trends are highly controversial in an environment that values community relations and is highly sensitive to racial profiling. However, there are also indications that the differences in typical police work such as traffic controls and crime investigation may not be as pronounced as the differences between the countries would suggest.

Research implications – This study highlights the need for ethnographic work with the police and with unauthorized immigrants to empirically describe and assess the role that the police are playing and its impact on police–community relations.

Practical implications – The German experience supports the value of a comprehensive information system for rapidly determining the immigration status of suspects, but it may not work as expected in the United States and the United Kingdom, where registration and identification obligations apply to foreign citizens only. With the US and UK experiences, one could predict that discriminating identification practices may become more sensitive issues in a Germany with increasing numbers of immigrated citizens.