By Anna Sidorova, Nicholas Evangelopoulos, Russell Torres, Vess Johnson
The info structures (IS) self-discipline was once based at the intersection of desktop technology and organizational sciences, and produced a wealthy physique of study on themes starting from database layout and the strategic position of IT to web design and on-line buyer habit. during this booklet, the authors offer an advent to the self-discipline, its improvement, and the constitution of IS study, at a degree that's applicable for rising and present IS students. Guided by way of a bibliometric examine of all examine articles released in 8 ultimate IS examine journals over a 20-year interval, the authors establish and current the pinnacle fifty one IS examine themes. for every subject, they supply a quick evaluate, time tendencies, and references to similar influential learn works. the subjects are prepared into an IS learn framework that incorporates examine at the IT artifact and IS improvement, IT and organisations, IT and participants, IT and markets, and IT for teamwork and collaboration.
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Additional info for A Survey of Core Research in Information Systems
IS has a long history of research on telecommunications and digital networks, and these remain an important part of the Intelligent Agents 6 % of published articles Fig. 13 Trends for intelligent agents 5 4 3 2 1 0 1992 1997 2002 2007 Pub. year 30 Networks 5 % of published articles Fig. 14 Trends for networks 3 IT Artifact and IS Development 4 3 2 1 0 1992 1997 2002 2007 Pub. year networks research stream. In addition, significant IS research has been directed at topics related to artificial neural networks, and in recent years, social networking.
3 Design of Specific Types of IT 27 sets through the application of data management and analysis techniques, statistical analysis, modeling, and artificial intelligence. Analysts using these techniques typically attempt to identify, classify, model, and report data patterns in terms of actionable information for improved decision-making. In the business context, both approaches are often used for the development of improved customer understanding. Business analytics typically involves a priori hypotheses and is focused on analysis of data to prove or disprove these suspected relationships.
Controls often evolve over time as the project progresses through different phases (Kirsch 2004). Evolution of controls was also observed in outsourced software development projects (Choudhury and Sabherwal 2003). Much of the research on controls in IT project management deals with requirements volatility in software development projects. Research suggests that volatile requirements in the context of agile software development methodologies are best addressed by allowing development teams ‘‘controlled’’ autonomy.