Assessing safety at work using an adaptive neuro-fuzzy inference system (ANFIS) approach aided by partial least squares structural equation modeling (PLS-SEM)

Publication date: March 2020Source: International Journal of Industrial Ergonomics, Volume 76Author(s): Erman Çakıt, Andrzej Jan Olak, Waldemar Karwowski, Tadeusz Marek, Irena Hejduk, Redha TaiarAbstractThe main objective of this research was to apply an adaptive neuro-fuzzy inference system (ANFIS) approach aided by Partial Least Squares Structural Equation Modeling (PLS-SEM) to assess safety at work, defined as employee propensity to follow safety regulations, including safe work practices at the workplace. A survey with seven main components: 1) use of mobile technology, 2) tacit safety knowledge, 3) explicit safety knowledge, 4) attitudes toward safety: psychological aspects, 5) attitudes toward safety: emotional aspects, 6) safety culture: behavioral aspects, and 7) safety culture: psychological aspects, was used for this purpose. Workers from three manufacturing companies located in southeastern Poland completed a paper-based survey. PLS-SEM, combined with an adaptive neuro-fuzzy inference system (ANFIS) method, was used to develop the study model and determine its main components. The results showed that tacit safety knowledge, attitudes toward safety: psychological aspects, attitudes toward safety: emotional aspects, safety culture: behavioral aspects, safety culture: psychological aspects, and the use of mobile technology were significant factors influencing the perceived safety at work. Moreover, the results of the ANFIS modeling approach showed that behavioral as...

Source: International Journal of Industrial Ergonomics - January 28, 2020 Category: Occupational Health Source Type: research