@incollection{McBrideMisnikovDraheim, author = {McBride, Keegan and Misnikov, Yuri and Draheim, Dirk}, title = {Discussing the foundations for interpretivist digital government research}, series = {Scientific Foundations of Digital Governance and Transformation. Concepts, Approaches and Challenges}, booktitle = {Scientific Foundations of Digital Governance and Transformation. Concepts, Approaches and Challenges}, editor = {Charalabidis, Yannis and Flak, Leif Skiftenes and Viale Pereira, Gabriela}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-92945-9}, doi = {10.1007/978-3-030-92945-9_6}, publisher = {Hertie School}, pages = {121 -- 147}, abstract = {As the research domain of digital government continues to develop as an important body of scholarly research, it is important to understand the core theoretical and philosophical basis of the discipline. Yet, in the domain of digital government, such an understanding does not exist. Therefore, there is currently a need for critical discussion about the concrete role of research philosophy in digital government research. This paper makes a first step in driving such a discussion by presenting arguments and discussion on the relevance of an interpretivist research philosophy for the domain of digital government. This paper provides a comprehensive overview of an interpretivist ontology and epistemology for digital government, discusses relevant theories and methods, and concludes with an overview of what is essential for conducting and carrying out interpretivist digital government research. This paper's contributions represent one of the first concentrated efforts to lay out initial foundations for the role of interpretivism, and research philosophy more generally, for digital government research.}, language = {en} } @incollection{ShahYahiaMcBrideetal., author = {Shah, Syed Attique and Yahia, Sadok Ben and McBride, Keegan and Jamil, Akhtar and Draheim, Dirk}, title = {Twitter Streaming Data Analytics for Disaster Alerts}, series = {2021 2nd International Informatics and Software Engineering Conference (IISEC)}, booktitle = {2021 2nd International Informatics and Software Engineering Conference (IISEC)}, publisher = {IEEE}, isbn = {978-1-6654-0759-5}, doi = {10.1109/IISEC54230.2021.9672370}, publisher = {Hertie School}, pages = {1 -- 6}, abstract = {In today's world, disasters, both natural and manmade, are becoming increasingly frequent, and new solutions are of a compelling need to provide and disseminate information about these disasters to the public and concerned authorities in an effective and efficient manner. One of the most frequently used ways for information dissemination today is through social media, and when it comes to real-time information, Twitter is often the channel of choice. Thus, this paper discusses how Big Data Analytics (BDA) can take advantage of information streaming from Twitter to generate alerts and provide information in real-time on ongoing disasters. The paper proposes TAGS (Twitter Alert Generation System), a novel solution for collecting and analyzing social media streaming data in realtime and subsequently issue warnings related to ongoing disasters using a combination of Hadoop and Spark frameworks. The paper tests and evaluates the proposed solution using Twitter data from the 2018 earthquake in Palu City, Sulawesi, Indonesia. The proposed architecture was able to issue alert messages on various disaster scenarios and identify critical information that can be utilized for further analysis. Moreover, the performance of the proposed solution is assessed with respect to processing time and throughput that shows reliable system efficiency.}, language = {en} } @article{BreaughMcBrideKleinaltenkampetal., author = {Breaugh, Jessica and McBride, Keegan and Kleinaltenkamp, Moritz and Hammerschmid, Gerhard}, title = {Beyond Diffusion: A Systematic Literature Review of Innovation Scaling}, series = {Sustainability}, volume = {13}, journal = {Sustainability}, number = {24}, doi = {10.3390/su132413528}, language = {en} }