Event-Driven Process Methodology Notation for Information Processing Research

This paper addresses the problem of improving information infrastructure and decision support systems in dynamic external and internal organizational environments. It provides an overview of the new event-driven process methodology notation for information infrastructure and the assessing informatio...

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Published inAutomatic documentation and mathematical linguistics Vol. 58; no. 4; pp. 243 - 254
Main Authors Mylnikov, L. A., Saltykova, A. D., Avramovic, Z.
Format Journal Article
LanguageEnglish
Published Moscow Pleiades Publishing 01.08.2024
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Abstract This paper addresses the problem of improving information infrastructure and decision support systems in dynamic external and internal organizational environments. It provides an overview of the new event-driven process methodology notation for information infrastructure and the assessing information processing effectiveness. The main types of information processes, their differences and research methods are presented. The procedural models given in this paper are intended for research and comparison of information processes according to specified performance criteria. Different information processes types and their formalization techniques are given.
AbstractList This paper addresses the problem of improving information infrastructure and decision support systems in dynamic external and internal organizational environments. It provides an overview of the new event-driven process methodology notation for information infrastructure and the assessing information processing effectiveness. The main types of information processes, their differences and research methods are presented. The procedural models given in this paper are intended for research and comparison of information processes according to specified performance criteria. Different information processes types and their formalization techniques are given.
Author Saltykova, A. D.
Avramovic, Z.
Mylnikov, L. A.
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Copyright Allerton Press, Inc. 2024. ISSN 0005-1055, Automatic Documentation and Mathematical Linguistics, 2024, Vol. 58, No. 4, pp. 243–254. © Allerton Press, Inc., 2024. Russian Text © The Author(s), 2024, published in Nauchno-Tekhnicheskaya Informatsiya, Seriya 2: Informatsionnye Protsessy i Sistemy, 2024, No. 7, pp. 19–30.
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Keywords effectiveness evaluation
information infrastructure
notation
simulation
decision making
event-driven process methodology
information process
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SubjectTerms Computer Science
Information Processes
Information Storage and Retrieval
Title Event-Driven Process Methodology Notation for Information Processing Research
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