Some historical and scientific issues related to research on emotional intelligence

In the past decade, the concept of emotional intelligence (EI) has emerged as a potential new construct for explaining behavioral variance not accounted for by traditional measures of general academic intelligence or personality. EI researchers credit E. L. Thorndike as the first to propose such a construct when he suggested that social intelligence is independent of abstract or academic intelligence. The current paper traces the historical roots of social intelligence and the current scientific status of emotional intelligence. It appears that emotional intelligence, as a concept related to occupational success, exists outside the typical scientific domain. Much of the data necessary for demonstrating the unique association between EI and work‐related behavior appears to reside in proprietary databases, preventing rigorous tests of the measurement devices or of their unique predictive value. For those reasons, any claims for the value of EI in the work setting cannot be made under the scientific mantle. Copyright © 2005 John Wiley & Sons, Ltd.     

The relation between emotional intelligence and job performance: A meta‐analysis

This meta‐analysis builds upon a previous meta‐analysis by (1) including 65 per cent more studies that have over twice the sample size to estimate the relationships between emotional intelligence (EI) and job performance; (2) using more current meta‐analytical studies for estimates of relationships among personality variables and for cognitive ability and job performance; (3) using the three‐stream approach for classifying EI research; (4) performing tests for differences among streams of EI research and their relationships with personality and cognitive intelligence; (5) using latest statistical procedures such as dominance analysis; and (6) testing for publication bias. We classified EI studies into three streams: (1) ability‐based models that use objective test items; (2) self‐report or peer‐report measures based on the four‐branch model of EI; and (3) “mixed models” of emotional competencies. The three streams have corrected correlations ranging from 0.24 to 0.30 with job performance. The three streams correlated differently with cognitive ability and with neuroticism, extraversion, openness, agreeableness, and conscientiousness. Streams 2 and 3 have the largest incremental validity beyond cognitive ability and the Five Factor Model (FFM). Dominance analysis demonstrated that all three streams of EI exhibited substantial relative importance in the presence of FFM and intelligence when predicting job performance. Publication bias had negligible influence on observed effect sizes. The results support the overall validity of EI. Copyright © 2010 John Wiley & Sons, Ltd. Note: Correction added on 22 July 2010 after first publication online on 29 June 2010. The affiliations for Ronald H. Humphrey and Thomas H. Hawver have been corrected in this version of the article.     

Linking emotional intelligence to safety performance: The roles of situational awareness and safety training

Introduction: Safety outcomes in the workplace require individual employees to perform (behave) safely in everyday duties. While the literature suggests that emotional management capabilities or traits can be positively related to individual performance in certain conditions, it is not clear how they can influence safety-related performance in high-risk work contexts. Drawing upon trait activation theory, this paper aims to examine when emotional intelligence (EI) benefits employees’ safety performance. We propose that when employees receive inadequate safety training, EI is more likely to trigger their situational awareness and consequently promote their safety performance. Method: We collected time-lagged data from 133 full-time airplane pilots working in commercial aviation industry. Hierarchical moderated regression analysis was conducted to test the moderating effect of safety training inadequacy on the EI–situational awareness relationship. The moderated mediation model, which involves conditional indirect effects of EI on safety performance via situational awareness across different levels of safety training inadequacy, was tested using the PROCESS-based bootstrap confidence interval. Results: Safety training inadequacy negatively moderated the relationship between EI and situational awareness, such that EI was significantly related to situational awareness only when safety training inadequacy was more salient. The more inadequate safety training was, the greater the indirect effect of EI on safety performance via situational awareness was. Conclusions: Inadequate safety training, as a negative situational cue, can activate individuals’ EI to drive their safety-related cognitions (e.g., situational awareness) and behaviors. Effective safety training may be able to complement employees’ low EI in shaping their situational awareness and safety behaviors. Practical Applications: Aviation managers should monitor the adequacy and effectiveness of safety training; this could make pilots’ situational awareness and safety performance depend less on personal attributes (e.g., EI), which organizations are less able to control. When training capacity is temporarily limited, priority might be given to those with low EI.     

The integration of Dow's fire and explosion index (F&EI) into process design and optimization to achieve inherently safer design

For the processing industries, it is critically to have an economically optimum and inherently safer design and operation. The basic concept is to achieve the best design based on technical and business performance criteria while performing within acceptable safety levels. Commonly, safety is examined and incorporated typically as an after-thought to design. Therefore, systematic and structured procedure for integrating safety into process design and optimization that is compatible with currently available optimization and safety analysis methodology must be available.The objective of this paper is to develop a systematic procedure for the incorporation of safety into the conceptual design and optimization stage. We propose the inclusion of the Dow fire and explosion index (F&EI) as the safety metric in the design and optimization framework by incorporating F&EI within the design and optimization framework. We first develop the F&EI computer program to calculate the F&EI value and to generate the mathematical expression of F&EI as a function of material inventory and operating pressure. The proposed procedure is applied to a case study involving reaction and separation. Then, the design and optimization of the system are compared for the cases with and without safety as the optimization constraint. The final result is the optimum economic and inherently safer design for the reactor and distillation column system.     

基于道化学法的大型合成氨装置安全评价

根据道化学公司火灾、爆炸危险指数的基本原理。用VH6．0开发的安全评价软件DowSE1．0，对某大型合成氨装置进行安全评价，得出其安全措施补偿前后的火灾、爆炸指数F＆EI以及危险暴露面积，危害系数，危险等级，实际可能财产损失程度等指数。结果表明。合成氨装置中实际最大可能财产损失值都没有超过200万美元，气化系统在合成氨装置中实际最大可能财产损失值占损失替换值比例高达53％，超过了10％的相对危险值界限。说明在引进国外技术时应注重其安全防范配套措施消化吸收，并结合实际采取切实可行的安全措施，降低合成氨装置的风险程度。     

Fire and Explosion Index calculation method incorporating classified safety measure credits

Based on an analysis of two methods for the modification of the F&EI for the DOW Guide, it is found that the effects of safety measures are not classified. Moreover, the efficiency of the measures is magnified to various degrees, as the positive impact of the loss reduction measures are applied to the rate reduction of the intrinsic hazard in the evaluated unit. For this reason, a modification method using classified safety measures is proposed, in which safety measures are classified into process protection measures and loss reduction measures. The calculation of the modified F&EI involves the credit factors of process protection measures, whereas the determination of the maximum probable property damage incorporates the loss reduction measures. This method could provide more reasonable reference data for hazard units because of its more objective and reasonable evaluation results.     

Calculation of Fire and Explosion Index (F&EI) value for the Dow Guide taking credit for the loss control measures

The Dow Fire and Explosion Index (F&EI) is universally used in evaluating the hazard category of a process plant, area of exposure, expected losses in case of fire and explosion, etc. In the current procedure, the effects of the loss control measures (LCMs) on the F&EI value are not taken into account. This makes the plant look more hazardous, makes it more spread out, requires more elaborate emergency measures and alarms the public and the civil administration more than is necessary. It also affects the insurance premium.We suggest taking the effects of the LCMs into account in the F&EI value. We call this the ‘Offset F&EI’ value. It favorably affects all the above items, and other related ones. To do this, we have developed the relevant equations and have proved the efficacy of the Offset F&EI by means of an example.     

The case for the ability‐based model of emotional intelligence in organizational behavior

In this second counterpoint article, we refute the claims of Landy, Locke, and Conte, and make the more specific case for our perspective, which is that ability‐based models of emotional intelligence have value to add in the domain of organizational psychology. In this article, we address remaining issues, such as general concerns about the tenor and tone of the debates on this topic, a tendency for detractors to collapse across emotional intelligence models when reviewing the evidence and making judgments, and subsequent penchant to thereby discount all models, including the ability‐based one, as lacking validity. We specifically refute the following three claims from our critics with the most recent empirically based evidence: (1) emotional intelligence is dominated by opportunistic ‘academics‐turned‐consultants’ who have amassed much fame and fortune based on a concept that is shabby science at best; (2) the measurement of emotional intelligence is grounded in unstable, psychometrically flawed instruments, which have not demonstrated appropriate discriminant and predictive validity to warrant/justify their use; and (3) there is weak empirical evidence that emotional intelligence is related to anything of importance in organizations. We thus end with an overview of the empirical evidence supporting the role of emotional intelligence in organizational and social behavior. Copyright © 2005 John Wiley & Sons, Ltd.     

施工企业内社会资本、情绪智力与安全绩效关系研究

依据资本观、能力观等相关理论,构建了以情绪智力为中介变量的施工企业内社会资本与安全绩效关系的理论模型,并以156家施工企业为调查对象而获取的数据进行多元回归分析。研究结果表明:员工情绪智力在施工企业内社会资本的结构维度、关系维度与安全绩效之间起到完全中介作用,在认知维度与安全绩效之间起到部分中介作用。因此,施工企业应该重视企业内社会资本的积累,同时加强员工情绪智力的提升,提高安全绩效。     

Identifying high-risk built environments for severe bicycling injuries

Introduction: This study is aimed at filling part of the knowledge gap on bicycling safety in the built environment by addressing two questions. First, are built environment features and bicyclist injury severity correlated; and if so, what built environment factors most significantly relate to severe bicyclist injuries? Second, are the identified associations varied substantially among cities with different levels of bicycling and different built environments? Methods: The generalized ordered logit model is employed to examine the relationship between built environment features and bicyclist injury severity. Results: Bicyclist injury severity is coded into four types, including no injury (NI), possible injury (PI), evident injury (EI), and severe injury and fatality (SIF). The findings include: (a) higher percentages of residential land and green space, and office or mixed use land are correlated with lower probabilities of EI and SIF; (b) land use mixture is negatively correlated with EI and SIF; (c) steep slopes are positively associated with bicyclist injury severity; (d) in areas with more transit routes, bicyclist injury is less likely to be severe; (e) a higher speed limit is more likely to correlate with SIF; and (f) wearing a helmet is negatively associated with SIF, but positively related to PI and EI. Practical applications: To improve bicycle safety, urban planners and policymakers should encourage mixed land use, promote dense street networks, place new bike lanes in residential neighborhoods and green spaces, and office districts, while avoiding steep slopes. To promote bicycling, a process of evaluating the risk of bicyclists involving severe injuries in the local environment should be implemented before encouraging bicycle activities.     

环境风险源及其分类方法研究

环境风险源的分类是进行环境风险源识别和监管的基础.已有的以人的安全为主要关注对象的重大危险源管理,对事故的潜在环境危害考虑欠缺,无法体现事故可能产生的环境风险影响.阐明环境风险源的基本概念,比较环境风险源与危险源的区别,针对环境风险源的特点,从环境受体、危害物质状态和风险传播方式3个方面提出了环境风险源的分类方法.实际应用中,环境风险源的分类需综合考虑当地环境管理需求、环境受体状况、主要危害物质类别等,选择合适的分类方法.     

用于智能建筑的环境安全监控系统

本论述了基于3c技术(控制技术、计算机技术、通信技术)的智能建筑安全监测控制的发展趋势，并介绍了作设计的智能建筑(智能小区)的环境安全监控系统。该系统是基于Lonworks现场总线技术的DCS系统，实现智能建筑中的温湿度、各种可燃性、有毒性气体以及火灾的监测控制和报警输出。     

Risk reduction concept to provide design criteria for Emergency Systems for onshore LNG plants

The functional safety requirement is widely applied in the process plant industry in accordance with the international standards, such as IEC and ISA. The requirement is defined as safety integrity level (SIL) based on the risk reduction concept for protection layers, from original process risk to tolerable risk level. Although the standards specify both, the Prevention System and the Emergency System, as level of protection layers, the standards specify in detail only the use of the Prevention System (i.e., Safety Instrumented System (SIS)). The safety integrity level is not commonly allocated to the Emergency System (e.g., Fire and Gas System, Emergency Shutdown System and Emergency Depressuring System). This is because the required risk reduction can be normally achieved by only the Prevention System (i.e., SIS and Pressure Safety Valve (PSV)). Further, the risk reduction level for the Emergency System is very difficult to be quantified by the actual SIL application (i.e., evaluated based on the single accident scenario, such as an accident from process control deviation), since the escalation scenarios after Loss of Containment (LOC) greatly vary depending on the plant design and equipment. Consequently, there are no clear criteria for evaluating the Emergency System design. This paper aims to provide the functional safety requirement (i.e., required risk reduction level based on IEC 61508 and 61511) as design criteria for the Emergency System.In order to provide clear criteria for the Emergency System evaluation, a risk reduction concept integrated with public’s perception of acceptable risk criteria is proposed and is applied to identify the required safety integrity level for the Emergency System design. Further, to verify the safety integrity levels for the Emergency Systems, the probabilistic model of the Emergency Systems was established considering each Emergency System (e.g., Fire and Gas System, Emergency Shutdown System and Emergency Depressuring System) relation as the Overall Emergency System. This is because the Overall Emergency System can achieve its goal by the combined action of each individual system, including inherent safe design, such as separation distance.The proposed approach applicability was verified by conducting a case study using actual onshore Liquefied Natural Gas Plant data. Further, the design criteria for Emergency Systems for LNG plants are also evaluated by sensitivity analysis.     

Quantification of inherent safety aspects of the Dow indices

The Dow fire and explosion index (F&EI) and chemical exposure index (CEI) have been successfully implemented in a Visual Basic environment as a tool for the inherent safety assessment of chemical processes. Subprograms were developed to quantify the inherent safety aspects of the Dow indices. These aspects are presented graphically with the indices on the vertical axis and an inherent safety indicator on the horizontal axis. Dow indices of the MIC storage unit involved in the Bhopal disaster were evaluated to quantify the effects of process temperature, pressure and inventory of hazardous materials on the index values.

As operating pressure was reduced, the F&EI decreased in accordance with the principles of inherent safety. The change in F&EI due to reduction of inventory was more significant than that resulting from pressure reduction. The results show that the F&EI change, given the same range of the independent variables (quantity of hazardous materials, operating temperature and pressure), is larger when a unit in the process area is evaluated compared to a unit in a storage area (tank farm). Reduction of the inventory of hazardous materials had no direct effect on the CEI for vapor releases, whereas the size of the hole diameter impacted the CEI to a great extent. However, there is a significant change in the CEI as the inventory of materials decreases for liquid releases involving temperatures above their flash and boiling points. Pressure reduction decreases the CEI, whereas temperature reduction leads to an increase in the CEI when these parameters are treated independently.     

The importance of (process safety) leadership

It is indeed an honour to be invited to contribute the inaugural Trevor Kletz & Sam Mannan Guest Perspective on Process Safety. Unfortunately I did not ever meet Trevor, though I worked at a plant he was a design consultant on, but I worked with Sam for several years, together focused on how we could improve process safety outcomes.For this paper I want to write about a key area in process safety that I believe underpins everything we do. If we get it really wrong, we can't come back from the brink. If we get it a little wrong, we can usually recover, with a lot of work and effort. If we get it right, things just work. So, what am I talking about, is it design, maintenance, operations? No, I am talking about leadership. This underpins everything else we do in process safety yet is an oft neglected aspect. I think this is a fitting start to this series, because both Trevor and Sam believed in effective communication, which is a key element of leadership. I hope it will set the scene for future articles to incorporate aspects of leadership when others will delve into more detailed topics.     

Taking Credit for Loss Control Measures in the Plant with the Likely Loss Fire and Explosion Index (LL-F&EI)

This communication proposes a new relationship for estimation of the damage factor (DF) used in the Dow Fire and Explosion Index (F&EI). The proposed new relation more clearly shows how the damage factor depends on other factors in the F&EI, such as material factor (MF) and Process Unit Hazards Factor, and leads to the definition of a new index which accounts for loss control measures implemented in the plant, and thus gives a measure of risk. Analysis shows that three types of relations exist between DF and Process Unit Hazards Factor depending on the size of the MF—low, medium or high. Further analysis shows, that the procedure in the current F&EI Guide may overestimate the DF for a very low MF and moderate to high Process Unit Hazards Factor.The analysis leads to the definition of the Likely Loss Fire & Explosion Index, which provides an estimate of risk of losses from fires and explosions as well as degrees of risk similar to the estimate of hazards and degrees of hazard associated with the Fire & Explosion Index.     

Motorcyclists' self-reported riding mileage versus actual riding mileage in the following year

IntroductionAccurate motorcyclist mileage estimates are important because self-evaluation of riding experience is related to riding behavior, the relationship of self-reported to actual or future mileage is necessary in targeting training and considering survey responses, and motorcycle crash statistics require accurate travel data.MethodThis study collected real‐world data from motorcyclists over the course of two months to two years per rider. This paper explores motorcyclists' self-reported annual riding mileage (obtained via pre-study surveys) and the actual amount of riding during the study (based upon odometer readings and GPS data).ResultsOf the 91 riders who had been riding for at least a year before the study, significantly more (73%) rode less the following year than reported for the previous year. The recorded annualized mileage averaged 89% of the reported mileage from the previous year. Analyses based on estimated average annual mileage were similar to those using the previous year estimation, and the pattern held regardless of age group, motorcycle type, or gender. The exception was novice or returning riders, who tended to either significantly underestimate or increase actual mileage as they began (or continued) to ride.ConclusionsMotorcyclists' estimation of riding experience expressed as mileage may not be indicative of current or future mileage.Practical applicationsReliance on self-reported mileage during training to categorize groups, for interpretation of studies, or to develop motorcycle travel data and safety statistics may be unrealistic. Certainly any use of self-reported mileage should incorporate the concept that mileage overestimation seems likely. Because questions about previous year and average annual mileage may elicit similar responses, motorcyclist surveys should be constructed to prompt the most thoughtful responses in terms of mileage estimations. In general, reported mileage should not be relied upon as an accurate predictor of future actual mileage.     

Risk assessment and risk reduction of an acrylonitrile production plant

Reducing accident occurrence in petrochemical plants is crucial, thus appropriately allocating management resources to safety investment is a vital issue for corporate management as international competition intensifies. Understanding the priority of safety investment in a rational way helps achieve this objective.In this study, we targeted an acrylonitrile plant. First, Dow Chemical's Fire and Explosion Index (F&EI) identified the reaction process as having the greatest physical risk. We evaluated the severity of accidents in the reaction process using the Process Safety Metrics advocated by the Center for Chemical Process Safety (CCPS); however, this index does not express damages a company actually experience. To solve this problem, we proposed a new metric that adds indirect cost to CCPS metrics. We adopted fault tree analysis (FTA) as a risk assessment method. In identifying top events and basic events, we attempted to improve the completeness of risk identification by considering accidents from the past, actual plant operation and equipment characteristics, natural disasters, and cyber-attacks and terrorist attacks. Consequently, we identified the top events with high priority in handling because of serious accidents as fire/explosion outside the reactor, fire/explosion inside the reactor, and reactor destruction. The new CCPS evaluation index proposed in this study found that fire and explosion outside the reactor has the highest severity. We considered the creation of the fault tree (FT) diagram of the top event, estimating the occurrence probability, and identifying the risk reduction part and capital investment aimed at risk reduction. As an economically feasible selection method for risk reduction investment, using the difference in loss amounts before and after safety investments indicated investment priority.     

The “Golden Hour” and field triage pattern for road trauma patients

Introduction: Although the term “golden hour” is a well-known concept among trauma system and emergency medical service providers, the relationship between time and trauma patient outcome and the process of prehospital care for road trauma patients in rural settings are poorly understood. As the underlying basis for triage decision-making, the estimated transport interval to trauma center is usually absent in the existing studies. Method: In this study, the crash data between 2013 and 2017 were obtained from the Fatality Analysis Reporting System, and the estimated intervals were calculated by using a Geographic Information System software. By comparing the estimated intervals with actual emergency medical services records, the field triage patterns for road patients were investigated at the state and county levels. Results and Conclusions: With the help of the interval prediction maps, the different triage patterns among counties were identified. Further, the average fatalities per 100,000 population by county from the National Highway Traffic Safety Administration were adopted to clarify the associated outcomes. The linear regression analysis results revealed that, for most states, all intervals except the notification interval had a significant correlation with the mortality. The estimated interval had a more significant relationship with the mortality than the actual transport interval. Practical applications: These findings indicated that adhering to the “golden hour” without regarding the destination may not be helpful for the survival of road trauma patients. The regression analyses and the interval maps can be used to identify patterns of inappropriate destination selection so that prospective decision-making can be improved.