Forschungsbeiträge auf der Informatik 2020

Freitag, 25. September 2020 um 13:42 Uhr

ISUM ist auf der diesjährigen Tagung "Informatik" mit zwei Forschungsbeiträgen aus den Bereichen Geschäftsprozessmanagement und Online Reviews vertreten. Die Veranstaltung findet digital statt.


Schoormann & Kutzner: Socially Business Process Patterns – A Sustainability Report-driven Demonstration and Refinement

Abstract: Business process patterns provide a well-accepted tool for analyzing and improving processes. Thus, patterns have the potential to leverage the sustainable transformation of organizations by considering societal and environmental concerns in addition to economic obligations. Although various process patterns have been proposed, there is a deficit regarding the social dimension of sustainability, which hinders improving processes in terms of issues such as inclusive working environments, employee health, participation, or fair value chains. By drawing on an initial set of socially business process patterns (SBPPs) that has been developed in previous work, this study seeks to examine sustainability reports from several organizations to evaluate, refine, and extend the current set of SBPPs. We contribute to social sustainability and process patterns by enabling researchers and practitioners to explore processes in respect of social concerns as well as providing orientation (i.e., examples) on how to improve social performance.

Kutzner, Schoormann & Knackstedt: Exploring the content composition of online book reviews

Abstract:Today, anyone can perform an opinion-expressing form of literary criticism by writing online book reviews. Sellers and publishers recognised the strategic potential of such reviews, for example, to increase sales. However, despite the popularity and recognised importance of book reviews, only little is known about the actual content in detail. Drawing on a category system and manually annotated reviews, this study explores the content composition of book reviews. We disclose frequently used content-related book review components and perform a cluster analysis, exploring which components often occur together. Our results support literary scholars in investigating the digital phenomenon of literary criticism and the study illustrates a sample Computational Humanities project which can be transferred to other research endeavours.


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