A Systematic Literature Review of Game-Based Learning and Safety Management

Kanade, Sameeran G.; Duffy, Vincent G.

doi:10.1007/978-3-030-49907-5_26

Cited by 9 publications

(1 citation statement)

References 15 publications

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“…The data obtained from the interview were entered into the MAXQDA software to qualitatively classify the factors affecting the non-use of the harness. In the MAXQDA, the data is organized and managed qualitatively [28]. This software divides the textual information through systematic classification, coding, classification, and sub-classification processes [29].…”

Section: Data Classification Using Maxqda Softwarementioning

confidence: 99%

Identification and classification of factors affecting the non-use of safety harness at height among construction workers in Tehran

Sepehr,

eshaghi,

Jabbari

et al. 2023

PLoS ONE

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Introduction The accident of falling from a height is high among construction workers. Construction workers do not use harnesses. Thus, the present study was conducted to identify the factors affecting the non-use of harnesses among construction workers in Tehran, Iran. Materials and methods In this study was conducted by interviewing professors and construction workers in order to identify factors affecting the non-use of harness. Factors influencing the non-use of safety harnesses were identified from the workers’ point of view. The obtained data were classified and coded using MAXQDA 10 software. After that, the most essential, effective and powerful factors were identified using the degree and intersectionality of social network analysis. Results According to the interview results, 27 factors were determined as factors affecting the non-use of harnesses by construction workers and divided into four main groups. The four groups were harness design, management factors, harness comfort, and attitudinal factors. Based on the results of the degree centrality, the non-ergonomic design and attitude of the harness inefficiency were identified as the most influential and powerful factors. The betweenness indicator also showed that the non-ergonomic design could mediate other factors in the non-use of the harness. Conclusion The findings showed that by considering various factors such as considering more comfort in the design of the ergonomic harness, it produced a better product. Also, the use of safety harnesses by workers increases.

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Section: Data Classification Using Maxqda Softwarementioning

confidence: 99%