Submissions from 2019
Python Foundations: Data Science for All, Leslie J. Albert, Esperanza Huerta, and Scott Jensen
Predictive Cost Analytics of Vehicle Assemblies Based on Machine Learning in the Automotive Industry, Frank Bodendorf, Stefan Merbele, and Joerg Franke
Time Series Event Forecasting in Consumer Electronic Markets using Random Forests, Benjamin Buchwitz, Anne Falkenberg, and Ulrich Küsters
Abstract Only: Predictive Analysis and Out-of-Sample Generalizability of Construct-based Models, Nicholas Patrick Danks, Soumya Ray, and Galit Shmueli
Delegation of Decisions to Artificial Intelligence: A Conceptual and Empirical Investigation, Ransome Epie Bawack, Samuel Fosso Wamba, Eusebio Scornavacca, and Kevin Daniel André Carillo
ArchiCap – A tool for capability-based IT architecture exploration, Julian Ereth
Understanding the Impact of Machine Learning on Enterprise Data Management: A Taxonomic Approach, Martin Fadler and Christine Legner
To Sell or Not to Sell: Knowledge Risks in Data-Driven Business Models, Michael Fruhwirth, Viktoria Pammer-Schindler, and Stefan Thalmann
ERP objects become “social”: a process model for the identification of social business objects for an enterprise knowledge graph, Berit Gebel-Sauer and Petra Schubert
Multi-Valued Treatments Uplift Modeling for Continuous Outcomes, Robin M. Gubela and Stefan Lessmann
Is Bigger Always Better? Lessons Learnt from the Evolution of Deep Learning Architectures for Image Classification, Kai Heinrich, Björn Möller, Christian Janiesch, and Patrick Zschech
Rockstar Effect in Distributed Project Management on GitHub Social Networks, Yifan Huang and Wingyan Chung
The Impact of Big Data on Innovation Performance: The Mediating Role of Market- driven Capability, Mohsen Javdan and Maryam Ghasemaghaei
Abstract Only: From Big Data to Thick Information: Revisiting the Process of Information Production in Organizations, Mayur P. Joshi
Data Collection Map: A Canvas for Shared Data Awareness in Data-Driven Innovation Projects, Liza Kayser, Roland M. Mueller, and Tizian Kronsbein
Towards the Development of a Typology of Big Data Analytics in Innovation Ecosystems, Christoph Kollwitz
Using Analytics and Dashboard Technologies to Improve Physician Selection Decisions, Nima Kordzadeh and Luvai F. Motiwalla
Graph-Based Methodology for Data Warehouse Schema Design, Roy Lev and Adir Even
Man-Machine Collaboration in Organizational Decision-Making: An Experimental Study Using Loan Application Evaluations, Anh Luong, Nanda Kumar, and Karl Lang
A Comparative Analysis of Carbon Emissions from Countries of Varying Fossil Fuel Dependence, Megan MacDonald, Lakshmi Iyer, Tamara Kowalczyk, and Dennis Gilfillan
Data Science Intelligence: Mitigating Public Value Failures Using PAIR Principles, Thema Monroe-White and Brandeis Marshall
Blockchain-Based Crowd-Sourcing Applications and Related Business Intelligence Possibilities, Arno Pfefferling, Christoph Kollwitz, and Barbara Dinter
Intelligent Medical Decision Support System for Predicting Patients at Risk in Intensive Care Units, Araek Tashkandi and Lena Wiese
Towards Improving Local Policy Responses to Food Insecurity: Exploratory and Predictive Analytics, Henning Tovar, Lakshmi Iyer, and Charlie C. Chen
Countering the Fear of Black-boxed AI in Maintenance: Towards a Smart Colleague, Jonas Wanner, Lukas-Valentin Herm, and Christian Janiesch
Using Goal Programming to Make Large Scale Heterogeneous Teams, Bill Young and Vic Matta