Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Iterative or sequential? Effective workflow strategies for innovation tasks
Evgeny Kagan1, Tobias Lieberum2, Sebastian Schiffels3, Christian Jost2
1Johns Hopkins University; 2Technical University of Munich; 3University of Augsburg
Innovation projects typically integrate several distinct components which can be completed either iteratively or sequentially. In our experimental study we examine the behavioral underpinnings of iterative vs. sequential workflow in two innovation tasks. Our results show that the iterative workflow significantly outperforms the sequential workflow in a design task, and vice versa in a search task. This cautions against the uniform adoption of iterative workflow methods such as Lean and Agile.
The impact of historical workload on nurses’ perceived workload
Yi Chen1, Carri Chan2, Jing Dong2
1Hong Kong University of Science and Technology, Hong Kong S.A.R. (China); 2Columbia University
The high patient volumes and acuity levels placed extraordinary stress on the nursing workforce. Increased nursing workload is linked to nurse burnout and patient safety concerns. In this work, we take an empirical approach to understanding the effect of historical workload on nurses’ perceived workload. Quantifying this temporal effect of nursing workload allows us to design patient-to-nurse assignment policies that achieve a more balanced workload and create a fairer and safer working environment.
Can employees' past helping behavior be used to improve shift scheduling? Evidence from ICU nurses
Yixin Wang1, Deena Costa2, Zhaohui Jiang3, John Silberholz4
1University of Illinois at Urbana-Champaign; 2Yale University; 3Carnegie Mellon University; 4University of Michigan
Can past helping behaviors improve shift scheduling? We study organizational citizenship behavior (OCB) and its impact on shift performance. Past helping predicts patient length of stay better than team familiarity. Small shift composition changes reduce length of stay significantly. Scheduling based on past helping holds promise beyond ICU nursing.