2020 | ||
Monday, August 10th | ||
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12:00 AM |
A case for Data Democratization Pranjal Awasthi, Mays Business School, Texas A&M University 12:00 AM |
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12:00 AM |
A Dynamic Classification Approach to Churn Prediction in Banking Industry Hoiyin Christina Leung, University of Central Florida 12:00 AM |
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12:00 AM |
Jan Gross, Aalen University 12:00 AM |
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12:00 AM |
A Pilot Study on Designing a Data & AI Performance Canvas Michael Engel, Volkswagen Financial Services AG 12:00 AM |
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12:00 AM |
Algorithmic Appreciation Across Task Difficulty Eric Bogert, University of Georgia 12:00 AM |
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12:00 AM |
An Assessment of Medication Therapy and Readmission of Comorbid Diabetic Patients Chinedu Ossai, Swinburne University 12:00 AM |
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12:00 AM |
An Industry-Agnostic Approach for the Prediction of Return Shipments Adrian Hofmann, University of Wuerzburg 12:00 AM |
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12:00 AM |
Rahul Dwivedi, Texas A&M University - Central Texas 12:00 AM |
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12:00 AM |
Bridging the Gap between Insights and Action: the Role of Analytical Storytelling Elisa Gagnon, Bishop's University 12:00 AM |
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12:00 AM |
Convolutional Neural Networks for Survey Response Classification Nikolai Stein, Julius-Maximilians-University 12:00 AM |
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12:00 AM |
Customer Co-creation through the Lens of Service-dominant Logic: A literature Review Nguyen Anh Khoa Dam, Université du Québec à Trois-Rivières 12:00 AM |
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12:00 AM |
Design Science Guided Sports Information System Framework Development for Sports Data Analytics Shastri Nimmagadda, Curtin University 12:00 AM |
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12:00 AM |
Discovering Design Principles of Web Analytics Tools: A Text Mining Approach Yousra Harb, Yarmouk University 12:00 AM |
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12:00 AM |
Dynamic Modelling of Inter-Organizational Networks Using the Domain Knowledge and Big Data Analytics Piotr Śliwa, Institute of Organization and Management 12:00 AM |
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12:00 AM |
Early Public Outlook on the Coronavirus Disease (COVID-19): A Social Media Study Giridhar Reddy Bojja, Dakota State University 12:00 AM |
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12:00 AM |
Home Field Advantage in Major League Soccer Christopher Njunge, California Lutheran University 12:00 AM |
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12:00 AM |
Interpretable Multiple Treatment Revenue Uplift Modeling Robin M. Gubela, Humboldt-Universität zu Berlin 12:00 AM |
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12:00 AM |
Is Attention Contagious? Estimating the Spillover Effect of Investor Attention in Digital Networks Wuyue (Phoebe) Shangguan, Zhejiang University 12:00 AM |
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12:00 AM |
Linking Big Data and Business: Design Parameters of Data-Driven Organizations Janine Adina Hagen, LMU Munich 12:00 AM |
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12:00 AM |
Local Learning from Municipal Ransomware Attacks Kent Marett, Mississippi State University 12:00 AM |
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12:00 AM |
Machine Learning and Grounded Theory: New Opportunities for Mixed-Design Research Jang Bahadur Singh, Indian Institute of Management, Tiruchirappalli 12:00 AM |
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12:00 AM |
Making the Newsvendor Smart – Order Quantity Optimization with ANNs for a Bakery Chain Franz Seubert, Lehrstuhl für Betriebswirtschaftslehre und Wirtschaftsinformatik 12:00 AM |
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12:00 AM |
Opioid Use Disorder: Decision Support for Healthcare Professionals Neetu Singh, University of Illinois - Springfield 12:00 AM |
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12:00 AM |
Predicting Fall Risks Vulnerability with Inpatient Data in Acute Care Hospitalization Chinedu Ossai, Swinburne University 12:00 AM |
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12:00 AM |
Provider Selection Framework for Bundled Payments in Healthcare Services Seokjun Youn, University of Arizona 12:00 AM |
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12:00 AM |
Selecting Implementation Criteria in the Age of GeoBlockchain Constantinos Papantoniou, Claremont Graduate University 12:00 AM |
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12:00 AM |
Sharing Economy: Application of Structural Topic Models Yalda Esmizadeh, University of North Carolina at Greensboro 12:00 AM |
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12:00 AM |
Show Your Face! Investigating the Relationship Between Human Faces and Music’s Success Michael Schlechtinger, University of Siegen 12:00 AM |
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12:00 AM |
Social Movement and Core-Peripheral Network Mobilization Romilla Syed, UNIVERSITY OF MASSACHUSETTS BOSTON 12:00 AM |
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12:00 AM |
Spatial Analytics -- A Missing Key to Ending Homelessness Hafsa Aasi, Claremont Graduate University 12:00 AM |
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12:00 AM |
Spatial Decision Support System for Student Data: A Case Study of Yemen Ali Mohammed Bazarah, Claremont Graduate University 12:00 AM |
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12:00 AM |
Technological and Human Factors for Supporting Big Data Analytics in Saudi Arabian Higher Education Maher Mohammed Aseeri, University of Technology Sydeny 12:00 AM |
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12:00 AM |
The Impact of Data Analytics on Hospital Performance Naser Shekarian, University of Colorado Denver 12:00 AM |
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12:00 AM |
The Impact of Expert Knowledge on User Behavior in Recommender Systems Nils Herm-Stapelberg, Johannes Gutenberg-Universität Mainz 12:00 AM |
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12:00 AM |
Toward Effective Mobile Promotion: A Survey of Mobile Prediction Techniques and Applications Kai Zhao, Georgia State University 12:00 AM |
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12:00 AM |
Two-Level Classification of Chronic Stress Using Machine Learning on Resting-State EEG Recordings Hermann Baumgartl, Aalen University 12:00 AM |
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12:00 AM |
Using Mobile Devices for Data Analytics: The Impact of Time Pressure Brenda L. Eschenbrenner, University of Nebraska at Kearney 12:00 AM |
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12:00 AM |
What Makes a Winner? Analyzing Team Statistics to Predict Wins in the NFL Matthew Gifford, Fingerpaint 12:00 AM |
The unprecedented increase in the amount of data available for processing has created novel opportunities for individuals, organizations, and society. For instance, the field of cognitive analytics mimics the human brain to draw inference from unstructured data. This is creating a huge impact in fields like healthcare, finance, energy, and sports by assisting in complex analytical tasks. The ability to manage big data and glean insightful knowledge is also leading towards process-centric transformations in organizations. At a higher level, big data and analytics applications are able to drive positive impact on society in the areas of poverty mitigation, health and well-being, food safety, energy, and sustainability.
Organizations are allocating greater resources to enhance and develop new innovative applications of advanced analytics. As organizations transform into data and analytics centric enterprises (e.g. health insurance companies, automobile companies), more research is needed on both the technical and organizational aspects. On one hand, research focused on the creation and application of new data science approaches like deep learning, cognitive computing can inform us about the different ways to improve decision making and outcomes. On the other hand, research on organizational issues in the analytics context can inform industry leaders on handling various organizational and technical opportunities along with various challenges associated with building and executing big data driven organization. Examples may include, data and process governance and ethical issues, leadership, and driving innovation.