Journal: European Journal of Operational Research

Volume 281, Issue 3

483 -- 490Giles A. Hindle, Martin Kunc, Michael Mortensen, Asil Oztekin, Richard Vidgen. Business analytics: Defining the field and identifying a research agenda
491 -- 501Richard Vidgen, Giles A. Hindle, Ian Randolph. Exploring the ethical implications of business analytics with a business ethics canvas
502 -- 516Han Li 0001, Ashish Gupta 0004, Jie Zhang 0023, Nick Flor. Who will use augmented reality? An integrated approach based on text analytics and field survey
517 -- 531Christopher Baechle, C. Derrick Huang, Ankur Agarwal, Ravi S. Behara, Jahyun Goo. Latent topic ensemble learning for hospital readmission cost optimization
532 -- 542Ji Ni, Bowei Chen, Nigel M. Allinson, Xujiong Ye. A hybrid model for predicting human physical activity status from lifelogging data
543 -- 558Truong Van Nguyen, Li Zhou 0004, Alain Yee-Loong Chong, Boying Li, Xiaodie Pu. Predicting customer demand for remanufactured products: A data-mining approach
559 -- 574Yuanzhu Zhan, Kim Hua Tan. An analytic infrastructure for harvesting big data to enhance supply chain performance
575 -- 587Dursun Delen, Kazim Topuz, Enes Eryarsoy. Development of a Bayesian Belief Network-based DSS for predicting and understanding freshmen student attrition
588 -- 596Andrés Martínez, Claudia Schmuck, Sergiy Pereverzyev Jr., Clemens Pirker, Markus Haltmeier. A machine learning framework for customer purchase prediction in the non-contractual setting
597 -- 611Yangzi Jiang, Hossein Abouee-Mehrizi, Yuhe Diao. Data-driven analytics to support scheduling of multi-priority multi-class patients with wait time targets
612 -- 627Hailong Cui, Sampath Rajagopalan, Amy R. Ward. Predicting product return volume using machine learning methods
628 -- 641Mathias Kraus, Stefan Feuerriegel, Asil Oztekin. Deep learning in business analytics and operations research: Models, applications and managerial implications
642 -- 655Yenni Tim, Petri Hallikainen, Shan L. Pan, Toomas Tamm. Actualizing business analytics for organizational transformation: A case study of Rovio Entertainment
656 -- 672Kieran Conboy, Patrick Mikalef, Denis Dennehy, John Krogstie. Using business analytics to enhance dynamic capabilities in operations research: A case analysis and research agenda
673 -- 686Yanqing Duan, Guangming Cao, John S. Edwards. Understanding the impact of business analytics on innovation
687 -- 705Yi-Ting Chen, Edward W. Sun, Yi-Bing Lin. Merging anomalous data usage in wireless mobile telecommunications: Business analytics with a strategy-focused data-driven approach for sustainability