Bart Dierynck, Christian P. H. Peters · Contemporary Accounting Research · 2026
ABSTRACT We study how auditors prioritize tasks and how variations in task order influence auditors' performance. Drawing on conservation of resources theory, we develop and test our hypotheses through three experiments involving over 350 professional auditors. The first two experiments assess the impact of task order on performance. Across two settings, we manipulate task order and find that prioritizing an easier task generally results in lower performance compared with prioritizing a difficult task. In the third experiment, auditors are given autonomy over task ordering. We observe a tendency to prioritize easier tasks, particularly under heightened time pressure. We do not find any evidence that psychological ownership weakens the effect of time pressure on easy task prioritization.
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Nathan O. Buonviri · Rowman & Littlefield Publishers eBooks · 2015
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Yegor Bugayenko (15194643), Ayomide Bakare (15194646), Arina Cheverda (15194649) et al. · Figshare · 2023
<p>The numbers in brackets indicate the number of publications found for each branch.</p>
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Wrightson, James · OSF Preprints (OSF Preprints) · 2019
Comparing the effect of prioritization instructions on overground and treadmill dual-task walking performance
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Diane L. Damos, Barbara G. Tabachnick · 2001
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Tobias Rieger · OSF Preprints (OSF Preprints) · 2019
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Muhammad Saqib Hussain · Zenodo (CERN European Organization for Nuclear Research) · 2023
Time management and task prioritization are major skills and they are especially important for medical students but medical college curricula do not have courses for these topics. This article aims to provide a medical student with some time management techniques that help reduce the work load.
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Hussain, Muhammad Saqib · Zenodo (CERN European Organization for Nuclear Research) · 2023
Time management and task prioritization are major skills and they are especially important for medical students but medical college curricula do not have courses for these topics. This article aims to provide a medical student with some time management techniques that help reduce the work load.
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Sean Goh Ka Hong, Azhana Ahmad, Alicia Tang Yee Chong · 2018
Task is defined as a set of actions in order to achieve a specific goal. A mandatory task is known as an important and urgent task that needs to be completed first before finishing other tasks. This study presents the formulation of an algorithm to assist and automate robotic appliances in selecting which incoming task needs to carried out first in real time without any much human intervention. The simulation using software agent technologies to simulate and predict real life events with human like precision. We use Analytical Hierarchy Process (AHP) technique to rank the goal, the incoming task and the mandatory task. We discovered that the algorithm has a higher consistency in task prioritization compared to the two other computer scheduling algorithm.
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Michelle Guo, Albert Haque, De-An Huang et al. · Lecture notes in computer science · 2018
Cited by 360
Gilbert H. Mudge, Sidney Goldstein, Linda J. Addonizio et al. · Journal of the American College of Cardiology · 1993
Cited by 288
Reinier J. Jansen (3157104), René van Egmond (3157098), Huib de Ridder (3157101) · Figshare · 2016
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Guoxi Zhang, Robert Feyen · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · 2007
This paper describes an empirical study conducted to validate a computational model of dynamic task prioritization based on a framework proposed by Zhang and Feyen (2005). Three key factors in task prioritization were manipulated: processing time, available time, and task valence. Because earlier studies did not investigate how people prioritize tasks when valence and temporal characteristics conflict, this study examined how these conflicts are resolved. 20 subjects completed 54 time-limited task scenarios. Each scenario consisted of two or four concurrent tasks, each assigned a point value for completion. Subjects were instructed to maximize points scored. Results indicated that, although valence was predominant in determining task selection, it failed to explain all instances. Instead, a hierarchy of task prioritization was revealed in which subjects first checked what tasks were doable (e.g., self-efficacy), then applied rules first regarding valence, then temporal characteristics, and then others (e.g., task location).
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Brettschneider, Ida · DiVA at Umeå University (Umeå University) · 2020
As the hardware is evolving, the amount of cores increases and so does the use of parallel computing. Parallelizing a program is a way to increase the performance by distributing tasks across multiple threads or processors, taking advantage of the increasing amount of cores. An application programming interface that simplifies the usage of parallelism is OpenMP. OpenMP uses environment variables to inuence the runtime behavior and one such variable that will be analized in this study is OpenMP 45 Task Priority. This study analysis how Task Priority can be used for efficiently prioritizing computations to increase the execution time, and also the limitations of Task Priority. The study shows that Task Priority can improve the performance of a program by prioritizing the execution of some tasks before others.
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Yegor Bugayenko (15194643), Ayomide Bakare (15194646), Arina Cheverda (15194649) et al. · Figshare · 2023
<p>The graph illustrates the chronological development of approaches to task prioritization from 2009 to 2022, specifically with respect to bugs, issues, and pull requests (PR). Each subtopic is denoted by bold text, followed by the total number of associated works. The figure is divided into three vertical fragments, each representing one of the subtopics. Green and red arrows indicate an increase or decrease in the number of publications, respectively.</p>
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Yelland, Makena, Cortes, Abraham Silva · UNI ScholarWorks (University of Northern Iowa) · 2024
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Albert Causo, Zheng-Hao Chong, Ramamoorthy Luxman et al. · 2017
This paper describes a task scheduling method designed for a robotic picking system. The main goal of the system is to fulfill an order, ie, pick all the items in an order list and place them into the order bin, as fast as possible with the least number of unfulfilled items or errors. Picking an item on the list is considered as one task. The system will prioritize and schedule first the tasks with higher chances of being executed successfully. The probability for successful pick is computed from the vision data and grasping information. The items with higher chances of failure to be picked are pushed to the end of the queue. Forty experiments were conducted using randomly generated arrangement of items in a shelf and a randomly generated task order list. The test result shows that the strategy delivers an average fulfillment rate of 90% and an average fulfillment efficiency rate of 71%. The strategy described in this paper could be used to determine items that could be picked with human assistance instead of by robot alone.
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Nasa Advisory Council · 2012
The ReMAP committee deliberated for several months to establish, for the first time, priorities and goals for OBPR and ISS research across disciplines. ReMAP findings and recommendations rest on a large foundation of work of hundreds of scientists who worked for thousands of hours, over months and years, to prioritize research within each OBPR scientific discipline. It is noteworthy that the committee was successful, during meeting deliberations, in establishing a rationale and strategies for prioritization of the overall research program for OBPR and for ISS. The findings and recommendations in this report provide a framework for prioritizing a productive research program for NASA’s Office of Biological and Physical Research (OBPR) and for the International Space Station (ISS). The report identifies two overarching programmatic goals. • The first involves research enabling human exploration of space. • The second involves basic research of intrinsic scientific interest. The broad OBPR program encompasses research using the ISS, shuttle, free-flyers and ground-based capabilities. • The ISS has unique features not available on any other vehicle, including human tended, long duration (&gt;1mo) exposure to microgravity. • ReMAP prioritized work that can be done on ISS with the US Core Complete 1 configuration, • ReMAP identified enhancements to the US Core Complete configuration which will enable a science driven program of highest priority research. The context for establishing the ReMAP Task Force is multifaceted: The President’s FY2003 budget states: “This year, NASA will be working with the White House Office of Science and Technology Policy (OSTP) to engage the scientific community and establish clear high-priority, affordable science objectives with near-term focus on improving scientific productivity. The results of this review will help set the science agenda for Biological and Physical Research that will in turn drive how the Space Station is used. It should increase the efficiency and output of research at the Station, and realign NASA’s Research and Development portfolio to reflect current priorities.”
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Barry A. Munkasy, Kristin Bockelman, Jody L. Langdon et al. · The Physician and Sportsmedicine · 2025
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Nesterova, Maria, Skrynnik, Alexey, Panov, Aleksandr · arXiv (Cornell University) · 2022
Many challenging reinforcement learning (RL) problems require designing a distribution of tasks that can be applied to train effective policies. This distribution of tasks can be specified by the curriculum. A curriculum is meant to improve the results of learning and accelerate it. We introduce Success Induced Task Prioritization (SITP), a framework for automatic curriculum learning, where a task sequence is created based on the success rate of each task. In this setting, each task is an algorithmically created environment instance with a unique configuration. The algorithm selects the order of tasks that provide the fastest learning for agents. The probability of selecting any of the tasks for the next stage of learning is determined by evaluating its performance score in previous stages. Experiments were carried out in the Partially Observable Grid Environment for Multiple Agents (POGEMA) and Procgen benchmark. We demonstrate that SITP matches or surpasses the results of other curriculum design methods. Our method can be implemented with handful of minor modifications to any standard RL framework and provides useful prioritization with minimal computational overhead.
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