Future Motivation in Construction Safety Knowledge Sharing by Means of Information Technology

2013 ◽  
pp. 97-116 ◽  
Author(s):  
Rita Yi Man Li ◽  
Sun Wah Poon
Keyword(s):  
Information Technology ◽  
Knowledge Sharing ◽  
Construction Safety ◽  
Safety Knowledge

scholarly journals Construction Hazard Awareness and Construction Safety Knowledge Sharing Epistemology

2019 ◽  
Author(s):  
Rita Yi Man Li ◽  
Kwong Wing Chau ◽  
Weisheng Lu ◽  
Daniel Chi Wing Ho ◽  
Muhammad Shoaib ◽  
...  
Keyword(s):  
Knowledge Sharing ◽  
Construction Safety ◽  
Safety Knowledge ◽  
Hazard Awareness

scholarly journals Sustainable Construction Safety Knowledge Sharing: A Partial Least Square-Structural Equation Modeling and A Feedforward Neural Network Approach

2019 ◽  
Vol 11 (20) ◽  
pp. 5831 ◽  
Author(s):  
Rita Yi Man Li ◽  
Beiqi Tang ◽  
Kwong Wing Chau
Keyword(s):  
Neural Network ◽  
Knowledge Sharing ◽  
Structural Equation ◽  
Mobile Apps ◽  
Construction Safety ◽  
Partial Least Square ◽  
Least Square ◽  
Knowledge Sharing Behavior ◽  
Safety Knowledge ◽  
Sharing Behavior

Most studies focused on the introduction of new technologies have not investigated the psychological factors affecting the willingness to use them or conducted empirical studies to explore whether willingness and actual construction safety knowledge-sharing behavior are associated with fewer construction incidents. We conducted face-to-face and LinkedIn open-ended interviews as well as a global survey to study the willingness and actual behavior to share construction knowledge via social software Web 2.0, Internet of Things (IoT) and mobile apps. Then, the Partial Least Square-Structural Equation Model (PLS-SEM) for willingness and actual knowledge-sharing behavior, as well as the Multilayer Perceptron (MLP) Neural Network were used to illustrate the effect of various factors on predicting the willingness to share knowledge via Web 2.0, mobile apps and IoT. Results of the interviews found that practitioners use IoT for knowledge sharing, mainly because they do not want to fall behind the curve. PLS-SEM and MLP revealed that practitioners share construction safety knowledge are not driven by safety-related reasons such as safety awareness enhancement but perceived organization support from their companies. Employees who agree that their organization cared about their employees’ well-being was the strongest predictor in influencing people’s decision to use tools for knowledge sharing. Moreover, many respondents claimed that factors such as monetary rewards have little impact on motivating people to use tools for knowledge sharing.

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