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Introducing the Literaturematic.Com: Survey of Defence Economics

The scientific literature is expanding daily through the capabilities that are created by new technologies. New journals have continued to arise over time, and most of these new journals are accessible on the Internet. The substantial increase in scientific publications that has occurred in recent years has rendered it difficult to follow the developments in the academic literature. Since 2012, the website literaturematic.com has offered a novel and promising solution to this problem. Literaturematic.com was originally launched in June 2012 with the release of beta version sponsored Pamukkale University and Birkbeck College. The site is available to use, free of charge. Technical base is prepared by using the software and codes, Asp.net, Visual Studio 2010, SQL Server 2008 R2 and C#. This system employed defence spending at present, over time, it is planned to extend for other economic variables. In the system, the published studies on defence expenditures are classified and used as both dependent and independent variables. At present, the results of 600 studies have been loaded onto the system, and nearly, 200 of these studies can be questioned. There are, however, nearly 2000 pending studies. After these pending studies have been completed, they will also be available for questioning. Literaturematic.com is web-based literature software. It provides information on military expenditure studies on the basis of various criteria. For example, the system makes it possible to determine which variables have been used in the literature to predict defence expenditures and obtain results with respect to these variables. It even allows for more specific queries, sorting studies on the basis of their model, data type and starting and finishing of date of database. In addition, it is possible to gain access to both the summary results of each of the studies that is loaded onto the system individual study-based and country-based results. At this stage, only results based on regression analyses can be obtained; however, it will eventually be possible to quickly retrieve specific types of results, such as co-integrated findings, determinations of causality and descriptive findings,