By Anna Sidorova, Nicholas Evangelopoulos, Russell Torres, Vess Johnson
The details platforms (IS) self-discipline used to be based at the intersection of machine technological know-how and organizational sciences, and produced a wealthy physique of study on issues starting from database layout and the strategic position of IT to web design and on-line shopper habit. during this booklet, the authors supply an advent to the self-discipline, its improvement, and the constitution of IS study, at a degree that's acceptable for rising and present IS students. Guided via a bibliometric learn of all examine articles released in 8 most well known IS learn journals over a 20-year interval, the authors establish and current the pinnacle fifty one IS learn themes. for every subject, they supply a quick evaluate, time developments, and references to similar influential learn works. the themes are geared up into an IS learn framework that comes with study at the IT artifact and IS improvement, IT and organisations, IT and contributors, IT and markets, and IT for teamwork and collaboration.
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8). Expert Systems: Expert systems are artificial intelligence systems which attempt to solve problems through processes which mimic the reasoning of human experts. Such systems are based on a set of rules, the knowledge base, which are used by the system to arrive at decisions. Expert systems have a long history of research by IS academics. Research streams related to expert systems include new development or expansion of expert system capabilities, knowledge extraction from human experts, and expert system use and guidance for practice.
1997). The application and interpretation of rules is the domain of the inference engine. Inference engines are often required to perform defeasible reasoning, in which rules are not entirely consistent and conclusions are acknowledged to be fallible. The automation of such reasoning is a highly complex task, and IS research offers theoretical and empirical solutions (Geerts et al. 1994). 3 % of articles in the 2000s (Fig. 10). 5 % of published articles Fig. 5 0 1992 1997 2002 2007 Pub. 3 Design of Specific Types of IT 27 sets through the application of data management and analysis techniques, statistical analysis, modeling, and artificial intelligence.
ERP systems hold the promise of a wide range of organizational benefits, yet determining the value of an ERP system to an organization is often difficult (OseiBryson et al. 2008). Although ERP system investments positively impact firm value over the long-term, often the short-term impact is minimal (Hitt et al. 2002). Assessing the value of investment is also complicated by the fact that the return comes more in terms of strategic rather than operational value (Stefanou 2001). With about three quarters of ERP implementations failing to meet expectations (Wu et al.