The acceptance of personal protective equipment among Hong Kong construction workers: An integration of technology acceptance model and theory of planned behavior with risk perception and safety climate

Introduction: The phenomenon that construction workers do not use personal protective equipment (PPE) is a major reason for the high occurrence frequency of accidents in the construction industry. However, little efforts have been made to quantitatively examine the factors influencing construction workers’ acceptance of PPE. Method: In the current study, a PPE acceptance model for construction workers (PAMCW) was proposed to address the noted need. The PAMCW incorporates the technology acceptance model, theory of planned behavior, risk perception, and safety climate for explaining construction worker acceptance of PPE. 413 construction workers participated in this study to fill out a structured questionnaire. The PAMCW was analyzed using structural equation modeling. Results: Results provide evidence of the applicability of the technology acceptance model and theory of planned behavior to the PPE acceptance among construction workers. The positive influence of safety climate and risk perception-severity on attitude toward using PPE was significant. Safety climate positively influences perceived usefulness. Risk perception-worry and unsafe was found to positively affect intention to use PPE. Practical Applications: Practical suggestions for increasing construction workers’ use of PPE are also discussed.     

Making work safer: Testing a model of social exchange and safety management

Introduction

This study tests a conceptual model that focuses on social exchange in the context of safety management. The model hypothesizes that supportive safety policies and programs should impact both safety climate and organizational commitment. Further, perceived organizational support is predicted to partially mediate both of these relationships.

Methods

Study outcomes included traditional outcomes for both organizational commitment (e.g., withdrawal behaviors) as well as safety climate (e.g., self-reported work accidents). Questionnaire responses were obtained from 1,723 employees of a large national retailer.

Results

Using structural equation modeling (SEM) techniques, all of the model's hypothesized relationships were statistically significant and in the expected directions. The results are discussed in terms of social exchange in organizations and research on safety climate.

Impact on Industry

Maximizing safety is a social-technical enterprise. Expectations related to social exchange and reciprocity figure prominently in creating a positive climate for safety within the organization.     

[Case Study] CityCenter and Cosmopolitan Construction Projects, Las Vegas, Nevada: Lessons learned from the use of multiple sources and mixed methods in a safety needs assessment

Problem

The present study describes a response to eight tragic deaths over an eighteen month times span on a fast track construction project on the largest commercial development project in U.S. history.

Methods

Four versions of a survey were distributed to workers, foremen, superintendents, and senior management. In addition to standard Likert-scale safety climate scale items, an open-ended item was included at the end of the survey.

Results

Safety climate perceptions differed by job level. Specifically, management perceived a more positive safety climate as compared to workers. Content analysis of the open-ended item was used to identify important safety and health concerns which might have been overlooked with the qualitative portion of the survey.

Discussion

The surveys were conducted to understand workforce issues of concern with the aim of improving site safety conditions. Such efforts can require minimal investment of resources and time and result in critical feedback for developing interventions affecting organizational structure, management processes, and communication.

Summary

The most important lesson learned was that gauging differences in perception about site safety can provide critical feedback at all levels of a construction organization.

Impact on the Industry

Implementation of multi-level organizational perception surveys can identify major safety issues of concern. Feedback, if acted upon, can potentially result in fewer injuries and fatal events.     

Effects of safety climate on safety norm violations: exploring the mediating role of attitudinal ambivalence toward personal protective equipment

Problem

Research on the role of organizational and psychosocial factors in influencing risk behaviors and the likelihood of injury at work showed that safety climate also has great impact on workers’ behavior. However, the mechanisms through which this impact operates are still partially unclear.

Method

In order to explore the role that attitudinal ambivalence toward wearing PPE might play in mediating the impact of safety climate on safety norm violations, a questionnaire was administered to 345 Italian workers.

Results

Three dimensions of safety climate (i.e., company safety concern, senior managers’ safety concern, supervisors’ attitudes towards safety) were found to be positively associated with the individual ambivalence level, whereas the fourth one (i.e., work pressure) was negatively correlated with it. In turn, low levels of ambivalence were associated with a lower tendency to break the safety norms, even though the perception of a good safety climate also maintained a direct effect on unsafe behaviors.

Impact on industry

Designers of training program for the prevention of work related injuries must pay great attention to the psycho-social factors (such as the effects of the safety climate perception by employees on their attitudes and behaviors), and include specific contents into the prevention programs in order to improve workers compliance with safety norms.     

Exploring patterns of multiple climates and their effects on safety performance at the department level

Introduction: This paper represents a first attempt to fill a gap in research about different specific climates and safety outcomes, by empirically identifying patterns of climates and exploring the possible effect of different climates at the department level on some specific safety outcomes. The first objective was to explore how different specific climates (safety, communication, diversity and inclusion) can be associated to each other, considering the department level of analysis. The second objective was to examine the relationships between those patterns of climates with safety performance (compliance and participation behaviors). Method: A total of 429 blue-collar workers in 35 departments answered a questionnaire covering safety, diversity, inclusion, and communication climate measures. Cluster analysis was performed to identify clusters of departments with different climate patterns and their impact on safety compliance and safety participation behaviors. Subsequently, a hierarchical multiple linear regression was conducted at the individual-level to test the effect of climate patterns, by controlling for some sociodemographic variables. Results: Results showed the existence of four differentiated clusters of departments. Three of those clusters showed homogenous patterns (coherent association among perceptions of low, medium and high climates) and one heterogeneous (low and medium perceptions). The findings also revealed that the higher the climates perceptions, the higher the levels of safety participation and safety compliance, with safety participation being more affected than compliance. Conclusions: The present research showed the associated effects of some organizational climate factors, such as fair treatment, inclusion, safety and communication within the organization, which had not been previously studied in their combined relationships, on safety behaviors. Practical applications: Several other organizational climate factors, such as fair treatment, inclusiveness and communication, may play an important role in safety, showing the importance of broadening the focus on safety climate as one of the main predictors of safety behaviors.     

The effect of contextual information on professional judgment: Reliability and biasability of expert workplace safety inspectors

Introduction: A critical aspect of occupational safety is workplace inspections by experts, in which hazards are identified. Scientific research demonstrates that expectation generated by context (i.e., prior knowledge and experience) can bias the judgments of professionals and that individuals are largely unaware when their judgments are affected by bias. Method: The current research tested the reliability and biasability of expert safety inspectors’ judgments. We used a two-study design (Study 1, N = 83; Study 2, N = 70) to explore the potential of contextual, task-irrelevant, information to bias professionals’ judgments. We examined three main issues: (1) the effect that biasing background information (safe and unsafe company history) had on professional regulatory safety inspectors’ judgments of a worksite; (2) the reliability of those judgments amongst safety inspectors and (3) inspectors’ awareness of bias in their judgments and confidence in their performance. Results: Our findings establish that: (i) inspectors’ judgments were biased by historical contextual information, (ii) they were not only biased, but the impact was implicit: they reported being unaware that it affected their judgments, and (iii) independent of our manipulations, inspectors were inconsistent with one another and the variations were not a product of experience. Conclusion: Our results are a replication of findings from a host of other professional domains, where honest, hardworking professionals underappreciate the biasing effect of context on their decision making. The current paper situates these findings within the relevant research on safety inspection, cognitive bias and decision making, as well as provides suggestions for bias mitigation in workplace safety inspection. Practical Application: Our results have implications for occupational health and safety given that inspection is an integral aspect of an effective safety system. In addition to our findings, this study contributes to the literature by providing recommendations regarding how to mitigate the effect of bias in inspection.     

Bicycle helmet use among children in the United States: The effects of legislation, personal and household factors

Introduction

Children ages 5-14 years have the highest rate of bicycle-related injuries in the country. Bicycle helmets can prevent head and brain injuries, which represent the most serious type of bicycle-related injury.

Objectives

This paper compares children's bicycle helmet use to that estimated from an earlier study, and explores regional differences in helmet use by existing helmet legislation.

Methods

This study was a cross-sectional, list-assisted random-digit-dial telephone survey. Interviews were completed by 9,684 respondents during 2001-2003. The subset with at least one child in the household age 5-14 years (2,409 respondents) answered questions about bicycle helmet use for a randomly selected child in their household.

Results

Almost half (48%) of the children always wore their helmet, 23% sometimes wore their helmet, and 29% never wore their helmet. Helmet wearing was significantly associated with race, ethnicity, and child age but was not associated with the sex of the child. Other significant predictors of use included household income, household education, census region, and bicycle helmet law status. Statewide laws were more effective than laws covering smaller areas. The proportion of children who always wore a helmet increased from 25% in 1994 to 48% in 2001-2002. Significant increases in helmet use from 20% to 26% were seen among both sexes, younger (5-9 years) and older (10-14 years) children, and in all four regions of the country.

Conclusions

While there has been substantial progress in the number of children who always wear their helmets, more than half do not. Further progress will require using a combination of methods that have been shown to successfully promote consistent helmet use. Impact on industry: minimal.