Evaluation of the business proces
Experimental Evaluation of a Process BenchmarkingTool in a Green Business Process Management Context Matthias Gräuler and Frank Teuteberg
University of Osnabrück, Accounting and Information Systems, Osnabrück, Germany {matthias.graeuler,frank.teuteberg}@uos.de Abstract. Using a combination of metamodels, ontologies, green performanceindicators and metrics, we apply a novel approach in Semantic Business Pro-cess Benchmarking to the area of Green Business Process Management (GreenBPM). Up to now, process benchmarking has mainly been a manual process;the approach described and empirically evaluated in this paper partially auto-mates the time-consuming and costly process analyses while introducing moreflexibility regarding varying terminology, level of abstraction and modeling no-tation. Also, overviews of literature relevant to the field of Green SemanticBPM and commonly applied metrics in a Green BPM context are given. Keywords: Semantic Process Management, Ontologies, Sustainability, GreenBusiness Process Management, Benchmarking 1
Introduction Over the last two decades, many research efforts aimed at developing more energyefficient technologies, alternative energy sources and ecological end-of-life for prod-ucts. We consider these efforts to be highly relevant and desirable in mitigating ourcollective impact on the environment, however, the possibilities offered by improvingexisting operational practices are often ignored. Business Process Management(BPM) offers an integrated, holistic approach to the management of sustainabilitychange [1], which is needed to change these practices efficiently. By looking at thecurrent state of an organization’s business processes (BP) as well as possible im-provements through comparison with other organizations’ BP or reference processesproposed by researchers, considerable improvements can be implemented.Business Process Benchmarking is commonly used to identify areas in which
University of Osnabrück, Accounting and Information Systems, Osnabrück, Germany {matthias.graeuler,frank.teuteberg}@uos.de Abstract. Using a combination of metamodels, ontologies, green performanceindicators and metrics, we apply a novel approach in Semantic Business Pro-cess Benchmarking to the area of Green Business Process Management (GreenBPM). Up to now, process benchmarking has mainly been a manual process;the approach described and empirically evaluated in this paper partially auto-mates the time-consuming and costly process analyses while introducing moreflexibility regarding varying terminology, level of abstraction and modeling no-tation. Also, overviews of literature relevant to the field of Green SemanticBPM and commonly applied metrics in a Green BPM context are given. Keywords: Semantic Process Management, Ontologies, Sustainability, GreenBusiness Process Management, Benchmarking 1
Introduction Over the last two decades, many research efforts aimed at developing more energyefficient technologies, alternative energy sources and ecological end-of-life for prod-ucts. We consider these efforts to be highly relevant and desirable in mitigating ourcollective impact on the environment, however, the possibilities offered by improvingexisting operational practices are often ignored. Business Process Management(BPM) offers an integrated, holistic approach to the management of sustainabilitychange [1], which is needed to change these practices efficiently. By looking at thecurrent state of an organization’s business processes (BP) as well as possible im-provements through comparison with other organizations’ BP or reference processesproposed by researchers, considerable improvements can be implemented.Business Process Benchmarking is commonly used to identify areas in which