Incorporating Analytics into a Business Process Modelling Course

Embedding analytics is about integrating data analytics into operational systems that are part of an organization’s business processes. Currently, most organizations focus on automation business processes and enhancing productivity. However, going forward, in order to stay competitive, organizations have to go beyond automating their processes, by making them more intelligent, by embedding analytics into their processes and business applications. Therefore, there is need for enhancing the knowledge and skills of BPM professionals with know-how on improving a business process by embedding analytics into the workflow. In this paper contribution, the authors share their experience on how an existing process modelling, analysis and solution designing course was modified in order to incorporate the analytics component. The paper describes in detail the content, pedagogy, and lessons learned when introducing analytics into an existing business process modelling course. Thus providing one pathway for IS professors to adapt their current process modelling, enterprise systems and BPM courses to include analytics

MAPPING IS CURRICULUM RESEARCH AREAS: A SYSTEMATIC LITERATURE REVIEW FROM 2010 TO 2019

Research on IS curriculum addresses many important aspects related to IS curriculum planning: sharing of good curriculum planning practices, reviewing and recommending contents for IS curriculum, and identifying graduates’ competency needs. A bit surprisingly, however, there is no systematic literature review on IS curriculum research, increasing the possibility that knowledge does not accumulate, or reach intended beneficiaries. In this paper, we present results of a systematic literature review of IS curriculum research from 2010 to 2019. In total, 204 articles are downloaded from Scopus, AIS eLibrary, and ACM digital library. In addition to providing an overview of research demographics, we classify the articles first into three broad categories (planning process, curriculum contents, competency requirements), and secondly to more specific classes within each category. For IS curriculum researchers, the results assist in identifying prior research in different areas, thus promoting accumulation of research knowledge. For IS faculty, the paper provides an overview of IS curriculum related studies and a possibility to identify papers based on their immediate curriculum design needs and interests