Correlation process in content analysis for a BPM modeling projectShow others and affiliations
2013 (English)In: 22nd International Conference on Production Research, ICPR 2013, International Foundation for Production Research (IFPR) , 2013Conference paper, Published paper (Refereed)
Abstract [en]
In the field of content analysis, there are several methods that aim to compare texts and analyze them to determine whether they are equivalent. Within the content analysis, we found techniques used to compare and correlate texts. Some of them are present in computational tools such as the Sphinx and Atlati. In General, these tools are closed solutions of difficult integration with other systems. In this context, it is not possible to set up an automated process including these tools. This difficulty became evident during operation activities of a sustainability indicators formulation model proposed by Machado et al. 2012. In this paper, the aim is to develop a content correlation methodology and make it operational in the form of an automated process of similar correlation texts and or equivalents. The research was driven by a methodological organization process. This process is the combination of methodological tools: action research, BPM Cycle-Business Process Management, Project Management and Process Approach. The correlation process developed by this research makes it possible to correlate texts that are grouped so that assignments are made that determine a degree of correlation between texts. It is known that with this model it is not possible to determine which texts are equivalent between themselves exactly, however, there is a qualifying list of correlation between the group texts.
Place, publisher, year, edition, pages
International Foundation for Production Research (IFPR) , 2013.
Keywords [en]
BPM, Content analysis, Correlation, Process, Process approach, Process automation, Administrative data processing, Correlation methods, Enterprise resource management, Management science, Processing, Project management, Business process management, Degree of correlations, Methodological tools, Sustainability indicators, Automation
National Category
Business Administration
Identifiers
URN: urn:nbn:se:hj:diva-50407Scopus ID: 2-s2.0-84929440926OAI: oai:DiVA.org:hj-50407DiVA, id: diva2:1461408
Conference
22nd International Conference on Production Research, ICPR 2013; Parana; Brazil; 28 July 2013 through 1 August 2013
2020-08-262020-08-262020-08-26Bibliographically approved