Business Process Matching Analytics - Research and Practical Issues of Enterprise Information Systems - CONFENIS Access content directly
Conference Papers Year : 2019

Business Process Matching Analytics

Katalin Ternai
  • Function : Author
  • PersonId : 1022337
Szabina Fodor
  • Function : Author
  • PersonId : 1115282
Ildikó Szabó
  • Function : Author
  • PersonId : 1037154

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.
Fichier principal
Vignette du fichier
493186_1_En_8_Chapter.pdf (415.66 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03408409 , version 1 (29-10-2021)

Licence

Attribution

Identifiers

Cite

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⟩
42 View
45 Download

Altmetric

Share

Gmail Facebook X LinkedIn More