Literature DB >> 28638178

Determining Safety Inspection Thresholds for Employee Incentives Programs on Construction Sites.

Emily Sparer1, Jack Dennerlein1.   

Abstract

The goal of this project was to evaluate approaches of determining the numerical value of a safety inspection score that would activate a reward in an employee safety incentive program. Safety inspections are a reflection of the physical working conditions at a construction site and provide a safety score that can be used in incentive programs to reward workers. Yet it is unclear what level of safety should be used when implementing this kind of program. This study explored five ways of grouping safety inspection data collected during 19 months at Harvard University-owned construction projects. Each approach grouped the data by one of the following: owner, general contractor, project, trade, or subcontractor. The median value for each grouping provided the threshold score. These five approaches were then applied to data from a completed project in order to calculate the frequency and distribution of rewards in a monthly safety incentive program. The application of each approach was evaluated qualitatively for consistency, competitiveness, attainability, and fairness. The owner-specific approach resulted in a threshold score of 96.3% and met all of the qualitative evaluation goals. It had the most competitive reward distribution (only 1/3 of the project duration) yet it was also attainable. By treating all workers equally and maintaining the same value throughout the project duration, this approach was fair and consistent. The owner-based approach for threshold determination can be used by owners or general contractors when creating leading indicator incentives programs and by researchers in future studies on incentive program effectiveness.

Entities:  

Keywords:  Leading indicators; construction; incentives; reward threshold; worksite safety program

Year:  2013        PMID: 28638178      PMCID: PMC5476211          DOI: 10.1016/j.ssci.2012.06.009

Source DB:  PubMed          Journal:  Saf Sci        ISSN: 0925-7535            Impact factor:   4.877


  10 in total

1.  Construction work practices and conditions improved after 2-years' participation in the HomeSafe pilot program.

Authors:  David P Gilkey; Jacob E Hautaluoma; Taslim P Ahmed; Thomas J Keefe; Robert E Herron; Philip L Bigelow
Journal:  AIHA J (Fairfax, Va)       Date:  2003 May-Jun

2.  [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.

Authors:  Janie L Gittleman; Paige C Gardner; Elizabeth Haile; Julie M Sampson; Konstantin P Cigularov; Erica D Ermann; Pete Stafford; Peter Y Chen
Journal:  J Safety Res       Date:  2010-05-22

Review 3.  Rewarding safe behavior: strategies for change.

Authors:  Deborah Fell-Carlson
Journal:  AAOHN J       Date:  2004-12

4.  Great Safety Performance: an improvement process using leading indicators.

Authors:  Dianne Dyck; Tony Roithmayr
Journal:  AAOHN J       Date:  2004-12

5.  Contributing factors in construction accidents.

Authors:  R A Haslam; S A Hide; A G F Gibb; D E Gyi; T Pavitt; S Atkinson; A R Duff
Journal:  Appl Ergon       Date:  2005-03-27       Impact factor: 3.661

6.  "Cooking the books"--behavior-based safety at the San Francisco Bay Bridge.

Authors:  Garrett D Brown; Jordan Barab
Journal:  New Solut       Date:  2007

7.  Inspections and severity: two safety leading indicators that you can use today.

Authors:  Barry Nelson
Journal:  Occup Health Saf       Date:  2008-07

8.  Spreading good ideas: a case study of the adoption of an innovation in the construction sector.

Authors:  Desre Kramer; Philip Bigelow; Peter Vi; Enzo Garritano; Niki Carlan; Richard Wells
Journal:  Appl Ergon       Date:  2008-11-06       Impact factor: 3.661

9.  Portable ladder assessment tool development and validation-quantifying best practices in the field.

Authors:  Jack T Dennerlein; Christopher J Ronk; Melissa J Perry
Journal:  Saf Sci       Date:  2009-05-01       Impact factor: 4.877

10.  Safety walkarounds predict injury risk and reduce injury rates in the construction industry.

Authors:  K L Mikkelsen; S Spangenberg; P Kines
Journal:  Am J Ind Med       Date:  2010-06       Impact factor: 2.214

  10 in total
  5 in total

1.  Testing a better recognition tool.

Authors:  Mia Goldwasser; Emily Sparer; Jack Dennerlein
Journal:  Occup Health Saf       Date:  2013-04

2.  Testing the associations between leading and lagging indicators in a contractor safety pre-qualification database.

Authors:  Justin Manjourides; Jack T Dennerlein
Journal:  Am J Ind Med       Date:  2019-02-06       Impact factor: 2.214

3.  Evolutionary Game Analysis of Construction Workers' Unsafe Behaviors Based on Incentive and Punishment Mechanisms.

Authors:  Jianbo Zhu; Ce Zhang; Shuyi Wang; Jingfeng Yuan; Qiming Li
Journal:  Front Psychol       Date:  2022-05-24

4.  An evolutionary game-theoretic analysis of construction workers' unsafe behavior: Considering incentive and risk loss.

Authors:  Jianling Huang; Yidan Wu; Yang Han; Yang Yin; Guangbo Gao; Huihua Chen
Journal:  Front Public Health       Date:  2022-09-13

5.  Predicting subcontractor performance using web-based Evolutionary Fuzzy Neural Networks.

Authors:  Chien-Ho Ko
Journal:  ScientificWorldJournal       Date:  2013-06-19
  5 in total

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