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The purpose of this study was to determine the extent to which academic researchers consider the relationship between broadband access and children’s information seeking in the United States. Because broadband has been cited as an essential element of contemporary learning, this study sought to identify gaps in the attention given to the role of broadband in the information seeking environment of youth.

The researchers conducted a mixed method synthesis of academic research published in peer-reviewed journals between 1991 and 2011 that reported the information seeking of children aged 5–18 years. Quantitative and qualitative data were gathered from leading databases, analyzed separately, and conclusions drawn from integrated results.

The results of this study indicated that broadband is rarely considered in the design of children’s information seeking published in peer-reviewed research journals. Only 15 studies showed any presence of broadband in study design or conclusions. Due to the small number of qualifying studies, the researchers could not conduct the synthesis; instead, the researchers conducted a quantitative relationship analysis and qualitative content analysis.

Given the focus of policymaking and public discussion on broadband, its absence as a study consideration suggests a crucial gap for scholarly researchers to address.

The data set included only studies of children in the United States, therefore, findings may not be universally applicable.

Despite national imperatives for ubiquitous broadband and a tradition of information seeking research in library and information science (LIS) and other disciplines, a lack of academic research about how broadband affects children’s information seeking persists.

It is imperative to understand the salient characteristics of autism before selecting and embarking on curricular experiences. One cannot engage in any innovative programming for students he/she does not understand. The American Psychiatric Association (2000) indicates that children with autism exhibit three, namely, (a) impairment in reciprocal skill interaction, (b) impairment in verbal and communication, and (c) restrictive, repetitive, and stereotyped patterns of behavior, interests, and activities. These characteristics have direct impact on curriculum innovation and instructional strategies for teachers, parents, and community (see Brock, Nishida, Chiong, Grimm, & Rimm-Kaufman, 2008; Crooke, Hendrix, & Rachman, 2008; Palmer, Didden, & Arts, 2008). The three characteristics should be viewed as a framework that educators and families might employ when communicating about services and planning curricular experiences (Park, 1996). Because on the impact these characteristics have on learning, they are highlighted in the following subsections.

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.

The paper provides an overview of research published in the innovation and operations management (IOM) literature on 15 methods for cost management in new product development, and it provides a comparison to an earlier review of the management accounting (MA) literature (Wouters & Morales, 2014).

This structured literature search covers papers published in 23 journals in IOM in the period 1990–2014.

The search yielded a sample of 208 unique papers with 275 results (one paper could refer to multiple cost management methods). The top 3 methods are modular design, component commonality, and product platforms, with 115 results (42%) together. In the MA literature, these three methods accounted for 29%, but target costing was the most researched cost management method by far (26%). Simulation is the most frequently used research method in the IOM literature, whereas this was averagely used in the MA literature; qualitative studies were the most frequently used research method in the MA literature, whereas this was averagely used in the IOM literature. We found a lot of papers presenting practical approaches or decision models as a further development of a particular cost management method, which is a clear difference from the MA literature.

This review focused on the same cost management methods, and future research could also consider other cost management methods which are likely to be more important in the IOM literature compared to the MA literature. Future research could also investigate innovative cost management practices in more detail through longitudinal case studies.

This review of research on methods for cost management published outside the MA literature provides an overview for MA researchers. It highlights key differences between both literatures in their research of the same cost management methods.

How much work is “too much” for children aged 10–14 in Egypt? Our narrow focus here is on “work that does not interfere with school attendance.” For girls, work includes time spent in household chores and subsistence activities. We estimate simultaneous hours of work and school attendance equations as a joint Tobit and Probit model, then conduct simulations. Substantial negative effects on attendance are observed above about 10 hours per week (girls) and 14 hours (boys). For girls, heavy household work appears causal, but for boys, it seems that poor schooling leads to boys' dropout, then subsequent work.

IV estimation is examined when some instruments may be invalid. This is relevant because the initial just-identifying orthogonality conditions are untestable, whereas their validity is required when testing the orthogonality of additional instruments by so-called overidentification restriction tests. Moreover, these tests have limited power when samples are small, especially when instruments are weak. Distinguishing between conditional and unconditional settings, we analyze the limiting distribution of inconsistent IV and examine normal first-order asymptotic approximations to its density in finite samples. For simple classes of models we compare these approximations with their simulated empirical counterparts over almost the full parameter space. The latter is expressed in measures for: model fit, simultaneity, instrument invalidity, and instrument weakness. Our major findings are that for the accuracy of large sample asymptotic approximations instrument weakness is much more detrimental than instrument invalidity. Also, IV estimators obtained from strong but possibly invalid instruments are usually much closer to the true parameter values than those obtained from valid but weak instruments.