0000000000285054
AUTHOR
Andreas L. Opdahl
Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data
The Internet of Things, crowdsourcing, social media, public authorities, and other sources generate bigger and bigger data sets. Big and open data offers many benefits for emergency management, but also pose new challenges. This chapter will review the sources of big data and their characteristics. We then discuss potential benefits of big data for emergency management along with the technological and societal challenges it poses. We review central technologies for big-data storage and processing in general, before presenting the Spark big-data engine in more detail. Finally, we review ethical and societal threats that big data pose.
Exploring Process-Modelling Practice: Towards a Conceptual Model
Despite the importance of process modelling for business process management and related tasks, there are few theories and empirical studies of process-modelling practice available that can serve as the basis for understanding and improving this important practice. To contribute to the development of better theory, this paper proposes a model of process modelling practice, focussing on the relations between process modelling purpose, process modelling process, model artefact, process modelling outcome as well as initial and eventual modelling and process maturity. The proposed model is based on the existing literature and validated in a study of 34 Norwegian process-modelling projects. Resul…
Understanding the determinants of business process modelling in organisations
PurposeThe purpose of this paper is to address a theoretical gap in the business process management (BPM) literature on factors that influence the acceptance and use of business process modelling (PM) in organisations. The paper seeks to contribute to theory building and practice in BPM through better understanding of important determinants of PM adoption and use.Design/methodology/approachA combination of literature review and 34 interviews in context was used to develop a PM acceptance model that was subsequently empirically tested using survey data from 74 companies.FindingsThe paper provides empirical insights about how business PM can be influenced by many factors in the organisational…
Determinants to the Use of Business Process Modeling
This article addresses a theoretical gap in the BPM literature on factors that influence the acceptance of process modeling (PM) in organizations. Literature review on PM and 34 qualitative interviews were combined into a PM acceptance model and empirically tested with data from 74 companies showing that PM is to a large extent a mandated activity, explaining the missing link between PM attitudes on PM intention. The study extends the TAM and the TPB to the context of process modeling and demonstrates that less studied socio-political factors in addition to awareness of PM are important to understand PM acceptance. The findings show that social influence from different stakeholder reference…