Resilience Analysis Grid–Rasch Rating Scale Model for Measuring Organizational Resilience Potential
Source abstract
Abstract
This paper presents a novel method for measuring organizational resilience by integrating the Rasch model into the Resilience Analysis Grid (RAG), providing a robust and objective tool for cross-sectional resilience studies. By treating the four cornerstones of resilience as abilities, Rasch’s model allows for an assessment that positions both the difficulty of the items and the organizations’ ability along a common scale. The requirement is the availability of a number of different organizations to be assessed. We employ a dataset generated through an artificial simulation and analyzed in a controlled environment, demonstrating the potential of Rasch-based resilience assessments to provide accurate, comparable, and scalable results in different organizational contexts. The traditional RAG is designed without a normative reference group, which makes it challenging to evaluate its results. The proposed model overcomes this limitation by offering a measurement scale on which different organizations can be placed without the need to use a normative group, facilitating the more consistent and timely monitoring of systems. This novel approach to quantifying resilience potentials highlights the transformative role of digital technologies in improving workplace safety and resilience. It advances resilience engineering and occupational health and safety practices in complex environments like manufacturing and industrial sectors.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Occupational Health and Safety Research · Supply Chain Resilience and Risk Management · Risk and Safety Analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Management Engineering Faculty, Uninettuno University, 00186 Rome, Italy
Psychology Faculty, Uninettuno University, 00186 Rome, Italy
References (58)
Show source-provided references
1. Érdi, P. (2008). Complexity Explained, Springer.10.1007/978-3-540-35778-0 ↗
2. Resilience Engineering: Concepts and Precepts
3. Some Social and Psychological Consequences of the Longwall Method of Coal-Getting: An Examination of the Psychological Situation and Defences of a Work Group in Relation to the Social Structure and Technological Content of the Work System10.1177/001872675100400101 ↗
4. Patriarca, R. (2021). Resilience Engineering for Sociotechnical Safety Management, Oxford Academic.10.1093/oso/9780190095888.003.0025 ↗
5. Falegnami, A., Tomassi, A., Corbelli, G., and Romano, E. (2024). Managing Complexity in Socio-Technical Systems by Mimicking Emergent Simplicities in Nature: A Brief Communication. Biomimetics, 9.10.3390/biomimetics9060322 ↗
6. Defining Conceptual Artefacts to Manage and Design Simplicities in Complex Adaptive Systems10.1016/j.heliyon.2024.e41033 ↗
7. Stroeken, K. (2024). Simplex Society: How to Humanize, Springer Nature.10.1007/978-3-031-41115-1 ↗
8. Embracing Simplexity: The Role of Artificial Intelligence in Peri-Procedural Medical Safety10.1080/17434440.2019.1561269 ↗
9. Cowley, S.J., and Gahrn-Andersen, R. (2023). How Systemic Cognition Enables Epistemic Engineering. Front. Artif. Intell., 5.10.3389/frai.2022.960384 ↗
10. Assessment of Smart Transformation in the Manufacturing Process of Aerospace Components Through a Data-Driven Approach10.1007/s40171-022-00328-7 ↗
11. The Effectiveness of Outsourcing Cybersecurity Practices: A Study of the Italian Context10.1007/978-3-030-89912-7_2 ↗
12. The advancement of Artificial Intelligence (AI) in Occupational Health and Safety (OHS) across high-risk industries10.24294/jipd.v8i10.6889 ↗
13. Resilience Potentials for Health and Safety Management in Cobot Applications Using the Resilience Analysis Grid10.1115/1.4062786 ↗
14. Safety-II and Resilience Engineering in a Nutshell: An Introductory Guide to Their Concepts and Methods10.1016/j.shaw.2020.11.004 ↗
15. Safety II Professionals: How Resilience Engineering Can Transform Safety Practice10.1016/j.ress.2019.106740 ↗
16. The emperor has no clothes: A critique of Safety-II10.1016/j.ssci.2020.105047 ↗
17. Dekker, S. (2017). The Safety Anarchist, Routledge.10.4324/9780203733455 ↗
18. Safety-I, Safety-II and Resilience Engineering
19. Assessment of a Large Language Model Based Digital Intelligent Assistant in Assembly Manufacturing10.1016/j.compind.2024.104129 ↗
20. Resilience Engineering in the Context of Digital Transformation
21. Rotaru, M., and Cioca, L.-I. (2024). The Impact of Occupational Health and Safety on Company Performance. Occupational Health and Safety, Bentham Science Publishers.10.2174/97898151655241240101 ↗
22. Halliday, B., Van Der Laan, L., and Raineri, A. (2024). Prioritizing Work Health, Safety, and Wellbeing in Corporate Strategies: An Indicative Framework. Safety, 10.10.3390/safety10010018 ↗
23. An Analysis of Safety Practices for Small, Medium, and Large Construction Projects: A Resilience Engineering Perspective10.1016/j.ssci.2023.106330 ↗
24. Development and Measurement of a Resilience Indicator for Cyber-Socio-Technical Systems: The Allostatic Load
25. A Review of Definitions and Measures of System Resilience10.1016/j.ress.2015.08.006 ↗
26. Wreathall, J. (2009). Measuring Resilience. Resilience Engineering Perspectives, Volume 2, CRC Press.
27. A Study of the Resilience Analysis Grid Method and Its Applicability to the Water Sector in England and Wales10.1111/wej.12539 ↗
28. System Safety Assessment of the Warehouse Operation Using Functional Resonance Analysis Method and Resilience Analysis Grid10.21109/kesmas.v18i4.7396 ↗
29. Hollnagel, E. (2019). Epilogue: RAG—The Resilience Analysis Grid. Resilience Engineering in Practice, Nikko Technical Publishing House.
30. Hollnagel, E. (2011). RAG—Resilience Analysis Grid. Resilience Engineering in Practice: A Guidebook, Routledge.
31. Hollnagel, E. (2017). Safety-II in Practice: Developing the Resilience Potentials, Routledge.10.4324/9781315201023 ↗
32. An Analytic Framework to Assess Organizational Resilience10.1016/j.shaw.2017.10.005 ↗
33. A Multicountry Comparative Survey about Organizational Resilience in Anaesthesia10.1111/jep.13054 ↗
34. Falegnami, A., Tomassi, A., Corbelli, G., Nucci, F.S., and Romano, E. (2024). A Generative Artificial-Intelligence-Based Workbench to Test New Methodologies in Organisational Health and Safety. Appl. Sci., 14.10.3390/app142411586 ↗
35. Bond, T. (2015). Applying the Rasch Model, Routledge.10.4324/9781315814698 ↗
36. Rasch Measurement v. Item Response Theory: Knowing When to Cross the Line
37. Boone, W.J., Staver, J.R., and Yale, M.S. (2014). Rasch Analysis in the Human Sciences, Springer.10.1007/978-94-007-6857-4 ↗
38. Classical Test Theory Versus Rasch Analysis for Quality of Life Questionnaire Reduction10.1186/1477-7525-1-27 ↗
39. Solving Measurement Problems with the Rasch Model10.1111/j.1745-3984.1977.tb00031.x ↗
40. Recent Advances in Analysis of Differential item Functioning in Health Research Using the Rasch Model10.1186/s12955-017-0755-0 ↗
41. Interpreting Results from Rasch Analysis 2. Advanced Model Applications and the Data-Model Fit Assessment10.1080/09638288.2023.2169772 ↗
42. The Development of the Game Engagement Questionnaire: A Measure of Engagement in Video Game-Playing10.1016/j.jesp.2009.02.016 ↗
43. Some Uses of Rasch Models Parameters in Customer Satisfaction Data Analysis10.1080/16843703.2010.11673220 ↗
44. Measuring Affective Responses for Human-Oriented Product Design Using the Rasch Model10.1504/JDR.2011.043363 ↗
45. Kakwani, N., and Silber, J. (2008). The Rasch Model and Multidimensional Poverty Measurement. Quantitative Approaches to Multidimensional Poverty Measurement, Palgrave Macmillan.10.1057/9780230582354 ↗
46. The Rasch Measurement Model in Rheumatology: What Is it and Why Use it? When Should It Be Applied, and What Should One Look for in a Rasch Paper?10.1002/art.23108 ↗
47. Tennant, A., and Küçükdeveci, A.A. (2023). Application of the Rasch Measurement Model in Rehabilitation Research and Practice: Early Developments, Current Practice, and Future Challenges. Front. Rehabil. Sci., 4.10.3389/fresc.2023.1208670 ↗
48. Improving Heckmatt Muscle Ultrasound Grading Scale Through Rasch Analysis10.1016/j.nmd.2024.07.001 ↗
49. Comparison of Digital Retinal Images and Information Tele-Transferred Through the Hala System to Manual Image Transfer of Diabetic Patients from Primary Health Care Centers in Riyadh10.1089/tmj.2019.0245 ↗
50. Tesio, L. (2008). Analisi di Rasch e Questionari di Misura, Springer.10.1007/978-88-470-0771-0 ↗
51. Disaster Preparedness and Perception of Flood Risk: A Study in an Alpine Valley in Italy10.1016/j.jenvp.2007.10.006 ↗
52. Leading Indicators of Occupational Health and Safety: An Employee and Workplace Level Validation Study10.1016/j.ssci.2016.01.015 ↗
53. Aryadoust, V., Tan, H.A.H., and Ng, L.Y. (2019). A Scientometric Review of Rasch Measurement: The Rise and Progress of a Specialty. Front. Psychol., 10.10.3389/fpsyg.2019.02197 ↗
54. (2024, December 01). R: The R Project for Statistical Computing. Available online: https://www.r-project.org/.
55. Robitzsch, A., Kiefer, T., and Wu, M. (2013). TAM: Test Analysis Modules. 4, 2–21.
56. Differential Item Functioning in While-Listening Performance Tests: The Case of the International English Language Testing System (IELTS) Listening Module10.1080/10904018.2012.639649 ↗
57. The Development and Validation of a Korean C-Test Using Rasch Analysis10.1177/0265532208101007 ↗
58. Examining the Effectiveness of Explicit Instruction of Vocabulary Learning Strategies with Japanese EFL University Students10.1177/1362168809341511 ↗