Can level of safety climate predict level of orientation toward safety in a decision making task?

Keren, Nir; Mills, Troy R.; Freeman, Steven A.; Shelley, Mack

doi:10.1016/j.ssci.2009.01.009

Cited by 33 publications

(41 citation statements)

References 53 publications

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“…This means employees recognize and construe information or episodes differently, and management and supervisors may have little control over these perceptions. Keren et al (2009) reiterated this, stating that employees do not respond directly to workplace incidents but perceive and interpret events that occur in their work environment before taking action. Therefore, when analyzing an incident, researchers and managers are limited to analysis after the fact, which is subject to a great deal of bias (Dekker, 2002).…”

Section: Safety Perceptions and Safety Behaviormentioning

confidence: 99%

“…The first two factors address a common theme in the safety literature: the continual conflict between safety and productivity (Kouabenan, 2009;McClain and Jarrell, 2007). Additionally, although peer pressure can be positive or negative, negative peer pressure is typically highlighted in the literature (Keren et al, 2009;Mullen, 2004). Mullen (2004) also mentioned a factor that is especially prevalent in high-reliability industries, which are defined as industries where safety is of utmost importance; this factor is the worker's "image."…”

Section: Safety Perceptions and Safety Behaviormentioning

confidence: 99%

“…sion-making patterns of employees have the potential to work in favor of or against organizational safety management processes (Keren et al, 2009).…”

mentioning

confidence: 99%

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Development of a Safety Decision-Making Scenario to Measure Worker Safety in Agriculture

2014

J. Agric. Safety and Health

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Human factors play an important role in the management of occupational safety, especially in high-hazard workplaces such as commercial grain-handling facilities. Employee decision-making patterns represent an essential component of the safety system within a work environment. This research describes the process used to create a safety decision-making scenario to measure the process that grain-handling employees used to make choices in a safety-related work task. A sample of 160 employees completed safety decision-making simulations based on a hypothetical but realistic scenario in a grain-handling environment. Their choices and the information they used to make their choices were recorded. Although the employees emphasized safety information in their decision-making process, not all of their choices were safe choices. Factors influencing their choices are discussed, and implications for industry, management, and workers are shared.

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Section: Safety Perceptions and Safety Behaviormentioning

confidence: 99%

Section: Safety Perceptions and Safety Behaviormentioning

confidence: 99%

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Development of a Safety Decision-Making Scenario to Measure Worker Safety in Agriculture

2014

J. Agric. Safety and Health

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“…Information acquisition data gathered using this method is used to make inferences regarding decision strategies likely utilized in the scenario 16,18 . This method was developed to capture the dynamic and sequential information acquisition data not reliably captured through direct survey techniques 19 .…”

Section: Behavioral Process Methodsmentioning

confidence: 99%

“…Keren et al 18 introduced the dimension search index, seen in equation 1, as a measure of how frequently information bins within a particular dimension has been reviewed relative to those reviewed in other dimensions. …”

Section: Behavioral Process Methodsmentioning

confidence: 99%

Quantifying Cognitive Processes in Virtual Learning Simulations

Thornton

Mosher

2014

2014 ASEE North Midwest Section Conference: Engineering Something More

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Virtual learning simulations have received increasing attention due various proposed educational, instructional, and institutional advantages; with literature focusing largely on perceptions of this technology and empirical comparisons to other instructional methods. Compared to traditional learning environments, virtual learning environments may present methodological advantages in studying learning processes through applying behavioral tracing techniques. This paper will discuss behavioral indicators of cognitive learning processes used in virtual decision scenarios designed for third year engineering and engineering technology students. Behavioral measures to quantitatively analyze the learning process will be presented. Implications for assessing student learning, instructional strategy selection, and improving higher education quality will be shared from holistic perspective.

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