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Business Process Matching Analytics

Abstract : Organizations study competitors to gain insights into what extent their processes are compliant to processes of other ones. Business process models are usually described in documents and their elements can be extracted by semantic technologies such as process-based text mining method. Business analytics provides a powerful tool to analyze competitors’ identified processes through dashboards. Educational institutions gain competitive advantage by establishing international partnerships. They must improve their processes to become more attractive to students. This paper presents a general method using semantic technologies to enhance the examination of competitors’ processes and their application in internationalization strategies.
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Submitted on : Friday, October 29, 2021 - 10:20:37 AM
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Katalin Ternai, Szabina Fodor, Ildikó Szabó. Business Process Matching Analytics. 13th International Conference on Research and Practical Issues of Enterprise Information Systems (CONFENIS), Dec 2019, Prague, Czech Republic. pp.85-94, ⟨10.1007/978-3-030-37632-1_8⟩. ⟨hal-03408409⟩



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