title: Assessment of work compatibility across employees' demographics: a case study.
abstract: 'Work compatibility' (WC) is a multi-dimensional diagnostic tool for measuring human performance that affects safety performance of work force. There are a dearth of literature on the use of WC in industrial applications. In this study, the status of WC and its components across employees' demographics such as age, experience, designation and location of work were examined in a steel plant in India. Data on 119 employees collected using Demand-Energizer Instrument was analysed. The results revealed that supervisors perceive higher energizers, higher demands and low WC as compared to workers. Older and high experience employees perceive higher energizers, lower demands and high WC as compared to younger and less experienced employees. All employee groups perceive higher demand for physical environment and physical task content. The problematic work groups identified are less experienced employees and workers in 'allied sections'. The outcomes of the study help the management in three ways to improve human performance at work places: (i) it provides useful information about the work factors to be considered for intervention design, (ii) it identifies the work groups to be targeted while preparing intervention strategies and (iii) it can be used as a leading indicator of human performance.
authors.affiliation: a Department of Industrial & Systems Engineering , IIT Kharagpur , West Bengal , India.
authors.forename: S A
authors.initials: SA
authors.lastname: Basha
authors.affiliation: a Department of Industrial & Systems Engineering , IIT Kharagpur , West Bengal , India.
authors.forename: J
authors.initials: J
authors.lastname: Maiti
mesh_terms: D000328:Adult; D000367:Age Factors; D004651:Employment / Q000706:statistics & numerical data; D006801:Humans; D008297:Male; D008669:Metallurgy; D013232:Steel; D011795:Surveys and Questionnaires; D014937:Work; D014938:Work Capacity Evaluation; D000066477:Work Performance / Q000592:standards / Q000706:statistics & numerical data*; D017132:Workplace
chemical_list: D013232:Steel
keywords: human performance modelling; leading indicator; steel plant; work demand; work energizer