Submissions from 2019

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Python Foundations: Data Science for All, Leslie J. Albert, Esperanza Huerta, and Scott Jensen

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Predictive Cost Analytics of Vehicle Assemblies Based on Machine Learning in the Automotive Industry, Frank Bodendorf, Stefan Merbele, and Joerg Franke

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Time Series Event Forecasting in Consumer Electronic Markets using Random Forests, Benjamin Buchwitz, Anne Falkenberg, and Ulrich Küsters

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Predictive Analysis and Out-of-Sample Generalizability of Construct-based Models, Nicholas Patrick Danks, Soumya Ray, and Galit Shmueli

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Delegation of Decisions to Artificial Intelligence: A Conceptual and Empirical Investigation, Ransome Epie Bawack, Samuel Fosso Wamba, Eusebio Scornavacca, and Kevin Daniel André Carillo

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ArchiCap – A tool for capability-based IT architecture exploration, Julian Ereth

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Understanding the Impact of Machine Learning on Enterprise Data Management: A Taxonomic Approach, Martin Fadler and Christine Legner

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To Sell or Not to Sell: Knowledge Risks in Data-Driven Business Models, Michael Fruhwirth, Viktoria Pammer-Schindler, and Stefan Thalmann

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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

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Multi-Valued Treatments Uplift Modeling for Continuous Outcomes, Robin M. Gubela and Stefan Lessmann

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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

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Rockstar Effect in Distributed Project Management on GitHub Social Networks, Yifan Huang and Wingyan Chung

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The Impact of Big Data on Innovation Performance: The Mediating Role of Market- driven Capability, Mohsen Javdan and Maryam Ghasemaghaei

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From Big Data to Thick Information: Revisiting the Process of Information Production in Organizations, Mayur P. Joshi

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Data Collection Map: A Canvas for Shared Data Awareness in Data-Driven Innovation Projects, Liza Kayser, Roland M. Mueller, and Tizian Kronsbein

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Towards the Development of a Typology of Big Data Analytics in Innovation Ecosystems, Christoph Kollwitz

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Using Analytics and Dashboard Technologies to Improve Physician Selection Decisions, Nima Kordzadeh and Luvai F. Motiwalla

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Graph-Based Methodology for Data Warehouse Schema Design, Roy Lev and Adir Even

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Man-Machine Collaboration in Organizational Decision-Making: An Experimental Study Using Loan Application Evaluations, Anh Luong, Nanda Kumar, and Karl Lang

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A Comparative Analysis of Carbon Emissions from Countries of Varying Fossil Fuel Dependence, Megan MacDonald, Lakshmi Iyer, Tamara Kowalczyk, and Dennis Gilfillan

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Data Science Intelligence: Mitigating Public Value Failures Using PAIR Principles, Thema Monroe-White and Brandeis Marshall

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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

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Towards Improving Local Policy Responses to Food Insecurity: Exploratory and Predictive Analytics, Henning Tovar, Lakshmi Iyer, and Charlie C. Chen

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Countering the Fear of Black-boxed AI in Maintenance: Towards a Smart Colleague, Jonas Wanner, Lukas-Valentin Herm, and Christian Janiesch

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Using Goal Programming to Make Large Scale Heterogeneous Teams, Bill Young and Vic Matta