scholarly journals Accident Report Interpretation

Safety ◽  
2018 ◽  
Vol 4 (4) ◽  
pp. 46 ◽  
Author(s):  
Derek Heraghty ◽  
Sidney Dekker ◽  
Andrew Rae

The language and approach we use to describe the past can have a strong influence on the audience’s interpretation of our story. In our experiment, we explore, using 3 different conditions, how the framing, language and style of an accident report can affect the audience’s proposed solutions to manage the problems found. We find that the approach used to create an accident report can have a powerful influence on the audience’s decision making. Whether we are describing an accident in a linear manner, using a systems approach, or we are accepting of multiple stories which are not linear or coherent, the methods we use to capture and communicate the story have a profound impact on the actions decided upon by the reader.

Author(s):  
Derek Heraghty ◽  
Sidney Dekker ◽  
Andrew Rae

The language we use to describe the past can have a strong influence on the audience’s interpretation of our story. In our experiment, we explore, using 3 different conditions, how the framing and language of an accident report can affect the audience’s proposed solutions to manage the problems found. We find that the approach used to create an accident report can have a powerful influence on the audience’s decision making. Whether we are describing an accident in a similar manner to a crime, using a systems approach or we are accepting of multiple stories which are not linear or coherent, the methods we use to capture and communicate the story have a profound impact on the actions decided upon by the reader.


Author(s):  
Derek Heraghty ◽  
Sidney Dekker ◽  
Andrew Rae

The language we use to describe the past can have a strong influence on the audience’s interpretation of our story. In our experiment, we explore, using 3 different conditions, how the framing and language of an accident report can affect the audience’s proposed solutions to manage the problems found. We find that the approach used to create an accident report can have a powerful influence on the audience’s decision making. Whether we are describing an accident in a similar manner to a crime, using a systems approach or we are accepting of multiple stories which are not linear or coherent, the methods we use to capture and communicate the story have a profound impact on the actions decided upon by the reader.


Slavic Review ◽  
1980 ◽  
Vol 39 (3) ◽  
pp. 426-445 ◽  
Author(s):  
William J. Conyngham

During the past decade, the most important large-scale effort to expand the decision-making and control capabilities of the Soviet economic management system has been the scientific-technical program for creating an integrated nationwide management information system. Formally designated as the Obshchegosudarstvennaia sistema sbora i obrabotki informatsii (dannykh) dlia ncheta, planirovaniia i upravleniia narodnym khosiaistvom (All-State System for the Collection and Processing of Information for Reporting, Planning, and Management of the National Economy), the system is more happily described by its acronym OGAS.1 It is an outgrowth of the rapid expansion of the systems approach (particularly its cybernetic expression) to the rationalization of management, and has developed into the technological variant of reform and an evident alternative and successor to the ill-fated economic reforms of 1965. As a system, OGAS has been projected as a solution to many of the fundamental economic, social, and organizational problems resulting from Soviet socioeconomic development.


2017 ◽  
Vol 35 (1) ◽  
pp. 85-87
Author(s):  
Elizabeth K. Vig ◽  
Janelle S. Taylor ◽  
Ann M. O'Hare

2017 ◽  
Author(s):  
Eugenia Isabel Gorlin ◽  
Michael W. Otto

To live well in the present, we take direction from the past. Yet, individuals may engage in a variety of behaviors that distort their past and current circumstances, reducing the likelihood of adaptive problem solving and decision making. In this article, we attend to self-deception as one such class of behaviors. Drawing upon research showing both the maladaptive consequences and self-perpetuating nature of self-deception, we propose that self-deception is an understudied risk and maintaining factor for psychopathology, and we introduce a “cognitive-integrity”-based approach that may hold promise for increasing the reach and effectiveness of our existing therapeutic interventions. Pending empirical validation of this theoretically-informed approach, we posit that patients may become more informed and autonomous agents in their own therapeutic growth by becoming more honest with themselves.


Author(s):  
John Hunsley ◽  
Eric J. Mash

Evidence-based assessment relies on research and theory to inform the selection of constructs to be assessed for a specific assessment purpose, the methods and measures to be used in the assessment, and the manner in which the assessment process unfolds. An evidence-based approach to clinical assessment necessitates the recognition that, even when evidence-based instruments are used, the assessment process is a decision-making task in which hypotheses must be iteratively formulated and tested. In this chapter, we review (a) the progress that has been made in developing an evidence-based approach to clinical assessment in the past decade and (b) the many challenges that lie ahead if clinical assessment is to be truly evidence-based.


2021 ◽  
Vol 42 (02) ◽  
pp. 191-195

Good reviewers are essential to the success of any journal and peer review is a major pillar of science. We are grateful to those mentioned below to have dedicated their time and expertise to help our authors improve and refine their manuscripts and support the Editor(s) in the decision making process in the past year.


2020 ◽  
Vol 114 ◽  
pp. 242-245
Author(s):  
Jootaek Lee

The term, Artificial Intelligence (AI), has changed since it was first coined by John MacCarthy in 1956. AI, believed to have been created with Kurt Gödel's unprovable computational statements in 1931, is now called deep learning or machine learning. AI is defined as a computer machine with the ability to make predictions about the future and solve complex tasks, using algorithms. The AI algorithms are enhanced and become effective with big data capturing the present and the past while still necessarily reflecting human biases into models and equations. AI is also capable of making choices like humans, mirroring human reasoning. AI can help robots to efficiently repeat the same labor intensive procedures in factories and can analyze historic and present data efficiently through deep learning, natural language processing, and anomaly detection. Thus, AI covers a spectrum of augmented intelligence relating to prediction, autonomous intelligence relating to decision making, automated intelligence for labor robots, and assisted intelligence for data analysis.


2020 ◽  
Vol 51 (6) ◽  
pp. 670-684 ◽  
Author(s):  
Rodney Turner

Research on the governance of project management suggests governmentality and governance are associated with improved project performance. However, the mechanism is unknown. We propose that they influence decision making, which, in turn, improves performance. Few articles on governance comment directly on how governance influences decision making. We identify six areas of organizational psychology that influence decision making, and study what research on the governance of project management suggests about how governance influences those six areas. We review 36 articles on the governance of project management published in the past six years in the three main journals in project management.


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