The U.S. Army faces two analytical and management challenges. The first is that its data are often locked away in siloed and proprietary databases. The second is that Army team members, such as data scientists, lack a...
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The U.S. Army faces two analytical and management challenges. The first is that its data are often locked away in siloed and proprietary databases. The second is that Army team members, such as data scientists, lack access to modern, common analytical tools. One potential solution to both problems is cloud migration: moving Army data to remotely accessed data environments offering scalable computer processing, data storage, and analytic services. To pilot the feasibility of this approach and gain insight, we developed a case study within Army Contracting Command (ACC) to see if there is a simple and effective way to overcome these challenges. We found that moving data to the cloud for analysis is effective and efficient and that there is a quick path forward to cost savings for the Army.
In this article, we exploit a large dataset of surveys to answer a simple questions: which factors drive good (or bad) health? Using a set of 14 very diverse predictors (both socioeconomic and physiological), we perfo...
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Contact tracing is an important tool in managing infectious disease outbreaks and Ireland used a comprehensive contact tracing program to slow the spread of COVID-19. Although the benefits of contact tracing seem obvi...
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The movement of commodities in emerging economies is largely facilitated by freight transit. The major obstacle to developing sustainable freight transportation systems in emerging economies are multiple dynamic uncer...
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The movement of commodities in emerging economies is largely facilitated by freight transit. The major obstacle to developing sustainable freight transportation systems in emerging economies are multiple dynamic uncertainties and inherent sustainability risks. This study determines the major indicators responsible for the sustainability of freight transportation. Initially, 16 Sustainable Transportation Indicators (STIs) are identified through literature and discussed with experts under five sustainability parameters: reputation, overall service quality, resilience, economic model, and job satisfaction. The identified STIs are categorized under the economic, social, environmental, and risk categories. Later, a hypothetical conceptual Structural Equation Model (SEM) is employed to analyze and verify the data. The results from the study show that STIs such as Reputation, Employment Benefits, and Infrastructure and Technology are crucial for the development of sustainable freight transport in emerging economies as they can enhance the efficiency and productivity of transportation systems and, hence their importance must be considered for future deployment of freight transportation in these economies.
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