Different approaches to learning from errors: Comparing the effectiveness of high reliability and error management approaches

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Standard

Different approaches to learning from errors: Comparing the effectiveness of high reliability and error management approaches. / Klamar, Alexander; Horvath, Dorothee; Frese, Michael et al.
in: Safety Science, Jahrgang 177, 106578, 01.09.2024.

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Harvard

APA

Vancouver

Bibtex

@article{ef78176bab0040df9e62e6de9da78f2e,
title = "Different approaches to learning from errors: Comparing the effectiveness of high reliability and error management approaches",
abstract = "Errors may be a safety hazard, yet all organizations and managers have to deal with errors. Error management and high reliability are strategies for dealing with errors. While these strategies originate from different research approaches and have been well studied independently, they have not been directly compared in empirical studies. Based on a theoretical analysis of similarities and differences between these approaches, we developed a training based on each of them. For our High Reliability Approach (HRA) training, we deduced training principles based on the facets of safety organizing. For the Error Management Training (EMT) and the training in the error-avoidant control condition (EAT), we oriented on existing training studies. We trained university students (N = 359) in a relevant skill. Our study revealed that both EMT and HRA training led to better performance than EAT. Exploratory analyses revealed emotion control towards errors to be related to performance only in the EMT group. Our article suggests that in spite of similar effectiveness of EMT and HRA training, there may be differential processes in these two approaches.",
keywords = "Errors, Error management, High reliability, Mindful organizing, Training, Business psychology",
author = "Alexander Klamar and Dorothee Horvath and Michael Frese and Nina Keith",
note = "Publisher Copyright: {\textcopyright} 2024 The Author(s)",
year = "2024",
month = sep,
day = "1",
doi = "10.1016/j.ssci.2024.106578",
language = "English",
volume = "177",
journal = "Safety Science",
issn = "0925-7535",
publisher = "Elsevier B.V.",

}

RIS

TY - JOUR

T1 - Different approaches to learning from errors: Comparing the effectiveness of high reliability and error management approaches

AU - Klamar, Alexander

AU - Horvath, Dorothee

AU - Frese, Michael

AU - Keith, Nina

N1 - Publisher Copyright: © 2024 The Author(s)

PY - 2024/9/1

Y1 - 2024/9/1

N2 - Errors may be a safety hazard, yet all organizations and managers have to deal with errors. Error management and high reliability are strategies for dealing with errors. While these strategies originate from different research approaches and have been well studied independently, they have not been directly compared in empirical studies. Based on a theoretical analysis of similarities and differences between these approaches, we developed a training based on each of them. For our High Reliability Approach (HRA) training, we deduced training principles based on the facets of safety organizing. For the Error Management Training (EMT) and the training in the error-avoidant control condition (EAT), we oriented on existing training studies. We trained university students (N = 359) in a relevant skill. Our study revealed that both EMT and HRA training led to better performance than EAT. Exploratory analyses revealed emotion control towards errors to be related to performance only in the EMT group. Our article suggests that in spite of similar effectiveness of EMT and HRA training, there may be differential processes in these two approaches.

AB - Errors may be a safety hazard, yet all organizations and managers have to deal with errors. Error management and high reliability are strategies for dealing with errors. While these strategies originate from different research approaches and have been well studied independently, they have not been directly compared in empirical studies. Based on a theoretical analysis of similarities and differences between these approaches, we developed a training based on each of them. For our High Reliability Approach (HRA) training, we deduced training principles based on the facets of safety organizing. For the Error Management Training (EMT) and the training in the error-avoidant control condition (EAT), we oriented on existing training studies. We trained university students (N = 359) in a relevant skill. Our study revealed that both EMT and HRA training led to better performance than EAT. Exploratory analyses revealed emotion control towards errors to be related to performance only in the EMT group. Our article suggests that in spite of similar effectiveness of EMT and HRA training, there may be differential processes in these two approaches.

KW - Errors

KW - Error management

KW - High reliability

KW - Mindful organizing

KW - Training

KW - Business psychology

UR - http://www.scopus.com/inward/record.url?scp=85196028091&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/ca31212e-97a1-3d2d-9352-ed5c1d1c4630/

U2 - 10.1016/j.ssci.2024.106578

DO - 10.1016/j.ssci.2024.106578

M3 - Journal articles

VL - 177

JO - Safety Science

JF - Safety Science

SN - 0925-7535

M1 - 106578

ER -

DOI

Zuletzt angesehen

Publikationen

  1. Control of the inverse pendulum based on sliding mode and model predictive control
  2. Academic language features in mathematical modelling tasks raise difficulty in reading comprehension for secondary students
  3. Structure analysis in an octocopter using piezoelectric sensors and machine learning
  4. On the Appropriate Methodologies for Data Science Projects
  5. A Column Generation Approach for Bus Driver Rostering Problems
  6. Linear free vibrations with uncertain initial conditions
  7. Age effects on controlling tools with sensorimotor transformations
  8. Improved sensorimotor control is not connected with improved proprioception
  9. Neural network-based estimation and compensation of friction for enhanced deep drawing process control
  10. Machine Learning and Knowledge Discovery in Databases
  11. Data-driven and physics-based modelling of process behaviour and deposit geometry for friction surfacing
  12. Competing Vegetation Structure Indices for Estimating Spatial Constrains in Carabid Abundance Patterns in Chinese Grasslands Reveal Complex Scale and Habitat Patterns
  13. Teaching methods for modelling problems and students’ task-specific enjoyment, value, interest and self-efficacy expectations
  14. Appendix A: Design, implementation, and analysis of the iGOES project
  15. Self-regulation in error management training: emotion control and metacognition as mediators of performance effects
  16. Some model properties to control a permanent magnet machine using a controlled invariant subspace
  17. Spaces for challenging experiences, indeterminacy, and experimentation
  18. Robust feedback linearization using an adaptive PD regulator for a sensorless control of a throttle valve
  19. Does thinking-aloud affect learning, visual information processing and cognitive load when learning with seductive details as expected from self-regulation perspective?
  20. A Study on the Performance of Adaptive Neural Networks for Haze Reduction with a Focus on Precision
  21. Using qualitative and quantitative arguments in decision-making situations
  22. For a return to the forgotten formula: 'Data 1 + Data 2 > Data 1'
  23. Advances in Dynamics, Optimization and Computation
  24. Using Language Learning Resources on YouTube
  25. Cognitive Predictors of Child Second Language Comprehension and Syntactic Learning
  26. A Theoretical Dynamical Noninteracting Model for General Manipulation Systems Using Axiomatic Geometric Structures
  27. Using augmented video to test in-car user experiences of context analog HUDs
  28. Measuring Learning Styles with Questionnaires Versus Direct Observation of Preferential Choice Behavior in Authentic Learning Situations
  29. Robust Control of Mobile Transportation Object with 3D Technical Vision System
  30. Teachers’ use of data from digital learning platforms for instructional design