End-user Computing: Concepts, Methodologies, Tools, and Applications (Google eBook)
IGI Global Snippet, Jan 1, 2008 - Computers - 2622 pages
End-User Computing: Concepts, Methodologies, Tools, and Applications compiles a vast collection of the most authoritative research in the development of computing applications and models by personnel other than IT departments and commercial vendors. With more than 200 chapters from nearly 400 of the world's leading experts on end-user computing this collection covers such topics as expert systems, quality assessment, user development, human factors, project teams, and user satisfaction. A four-volume reference set that provides libraries with definitive studies covering all of the salient issues of the field, End-User Computing: Concepts, Methodologies, Tools, and Applications gives researchers, managers, and other professionals from a variety of fields the knowledge and tools they need to properly understand the role of end-user computing in the modern organization.
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Contemporary Research in EndUser Computing
Fundamental Concepts and Theories
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activities adaptive analysis applications approach behavior cognitive communication components concept concept drift consumers customers data mining database defined domain e-mail e-privacy educational electronic end user development end users end-user computing end-user development engineering environment evaluation example extraction factors feedback Figure framework goal hypermedia identified IGI Global implementation important individual information search information systems information technology instructional integration interaction Internet issues Journal KMSs knowledge learners learning style Magoulas ment method methodologies mobile user data organization organizational password procedures perceived portal presented problem proprietary software RefeRenCeS requirements Retrieved risk role specific spreadsheet stakeholders strategy structure systems development task techniques technology acceptance model tion User Computing user data mining user model userís virtual virtual communities Web-based