scholarly journals Enterprise Systems: Challenges and Opportunities for Information Systems Education

2000 ◽  
Vol 89 (1) ◽  
pp. 24-30 ◽  
Author(s):  
Charu Chandra ◽  
Sameer Kumar
Author(s):  
Constantinos Constantinides ◽  
George Roussos

This chapter introduces service patterns for SOA-based enterprise systems. The authors believe that the deployment of such patterns would be of considerable value both as a best-practice guide for practitioners as well as a starting point for further research in their role in software engineering. A comprehensive catalog of service patterns is included in this chapter. In the catalog, each pattern is discussed in the context of selected examples and in terms of a brief description of its role, functionality, and deployment. For each pattern there are recommendations on implementation and a practical usage scenario.


Author(s):  
Emad Abu-Shanab ◽  
Heyam Al-Tarawneh

Enterprise systems are becoming more important as they support the efficiency and effectiveness of operations and reduce cost. In this chapter we explored the literature related to production information systems (PIS), enterprise systems, and other applications and their influence in an industrial zone in Jordan. Constructs from the Innovation Diffusion Theory were used, where results indicated that the adoption rate is acceptable and all variables have high means with respect to their evaluation by managers, but only two variable significantly predicted intention to use. In a second study that explored the status of IT usage in manufacturing firms using a different sample, results indicated that accounting information systems were widely used and distribution systems and manufacturing aiding systems were the least used. Other findings, conclusions and future work are stated at the end of the chapter.


Author(s):  
Guisseppi Forgionne ◽  
Manuel Mora ◽  
Jatinder N.D. Gupta ◽  
Ovsei Gelman

Decision-making support systems (DMSS) are computerbased information systems designed to support some or all phases of the decision-making process (Forgionne, Mora, Cervantes, & Kohli, 2000). There are decision support systems (DSS), executive information systems (EIS), and expert systems/knowledge-based systems (ES/KBS). Individual EIS, DSS, and ES/KBS, or pair-integrated combinations of these systems, have yielded substantial benefits in practice. DMSS evolution has presented unique challenges and opportunities for information system professionals. To gain further insights about the DMSS field, the original version of this article presented expert views regarding achievements, challenges, and opportunities, and examined the implications for research and practice (Forgionne, Mora, Gupta, & Gelman, 2005). This article updates the original version by offering recent research findings on the emerging area of intelligent decision-making support systems (IDMSS). The title has been changed to reflect the new content.


2015 ◽  
Vol 17 (2) ◽  
pp. 14-34
Author(s):  
Danuvasin Charoen

In 2012, the Royal Thai Police launched “C.R.I.M.E.S.”-“Criminal Record and Information Management Enterprise Systems” – as the largest-scale information systems project ever to be implemented in the organization. The new system aimed to reduce duplicate work in all 1,400 police stations by digitizing all documents and providing a centralized database whereby information could be shared among all police officers. However, most users were accustomed to working with pen and paper and did not want to learn the new skill needed to interact with C.R.I.M.E.S. Other users, convinced that the purpose of the new system was “catch their mistakes,” were also unenthusiastic. In addition, the information in C.R.I.M.E.S overlapped with other legacy systems, and this overlap created confusion among users because they had to enter the same information into many systems at the same time. Hence, the police had to decide what strategies and measures should be used to ensure the success of C.R.I.M.E.S.


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