{"title":"Metrics for Assessing the Basic Alignment Between Business Process and Enterprise Information Architectures with Reference to the BPAOntoEIA Framework","authors":"Mahmood Ahmad, M. Odeh, S. Green","doi":"10.1109/ACIT.2018.8672715","DOIUrl":null,"url":null,"abstract":"For the contemporary enterprise, Business-IT strategic alignment is instrumental for the business advantage. The evaluation of this alignment is important for continuous improvement at the infra-structure levels of business and IT, which is enhanced if the enterprise information architecture has a complete knowledge of business processes, their orchestration and models. This paper presents metrics for assessing the basic BPA-EIA alignment at the lowest architectural levels obtained through BPAOntoEIA framework, which employs a design science approach to derive a semantic EIA from a semantic object- based BPA approach. The basic assessment metrics are defined for derivation of EIA entities. Their values have been stated for a cancer care case-study showing a promising degree of BPA-EIA alignment. The framework is expected to provide a high degree of alignment for other EIA elements when derived from the associated business orocess architecture.","PeriodicalId":443170,"journal":{"name":"2018 International Arab Conference on Information Technology (ACIT)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Arab Conference on Information Technology (ACIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACIT.2018.8672715","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
For the contemporary enterprise, Business-IT strategic alignment is instrumental for the business advantage. The evaluation of this alignment is important for continuous improvement at the infra-structure levels of business and IT, which is enhanced if the enterprise information architecture has a complete knowledge of business processes, their orchestration and models. This paper presents metrics for assessing the basic BPA-EIA alignment at the lowest architectural levels obtained through BPAOntoEIA framework, which employs a design science approach to derive a semantic EIA from a semantic object- based BPA approach. The basic assessment metrics are defined for derivation of EIA entities. Their values have been stated for a cancer care case-study showing a promising degree of BPA-EIA alignment. The framework is expected to provide a high degree of alignment for other EIA elements when derived from the associated business orocess architecture.