Analysis of Safety Management Characteristics Using Network Analysis of CEO Messages in the Construction Industry

Abstract

Chief executive officer (CEO) messages are important in communicating with employees. In terms of sustainability management, it is important to study these messages for their finance and safety content; however, previous studies have focused mostly on the financial aspects. Therefore, our approach is to: (1) focus on safety management, (2) use text mining and network analysis to extract the keywords emphasized by the CEOs, (3) analyze safety management characteristics through factor mapping and network analysis, (4) make recommendations. When the results from the CEO communications of 100 global construction companies were reviewed, keywords including “management”, “value”, “employee”, “system”, “project”, “culture”, “new”, “occupational”, “practice”, and “basis” were deduced. The words “management”, “employee”, and “culture” were the common keywords considered important by CEOs and were highlighted in literature reviews as significant words. Both the deduced keywords and the words deemed important by the CEOs have similar connotations. Motivation, Rules and Regulations, and Resources and Equipment were the factors that exhibited the highest centrality, while Culture and Climate had a structurally high connection. Based on our results, we suggest selecting appropriate words to form consensus with the workers, supplementing the factors related to safety investment with low centrality, and using direct “safety” words, and other relevant words.

Stakeholders' impact on the leadership potential of small and medium-sized construction enterprises

“…This contributes to the identification of the main directions of construction companies' development strategy (Ghodrati et al , 2018). First of all, an analysis of an enterprise's financial development indicators, focused on financial results and profit, is the prerogative of the main stakeholder – a company's owner (Choi and Cho, 2020). At the same time, the methodological approach includes other equally important areas.…”

Differences in Readability, Keywords, and Orientation of Mission Statements of the Top 100 Korean and Top 100 US Traditional and Innovative Companies

“…The nine components of a mission statement were used to analyze the differences in mission statement orientation of Korean and US companies [19]. The extracted keywords were mapped to identify the component to which they belonged, and the orientation was determined based on eigenvector centrality [51,52].…”

“…Therefore, the second network analysis was conducted by converting the nine components and the two-mode matrix of the mapped keywords into a one-mode matrix. For conversion, the MMULT and TRANSEPOSE functions provided by Microsoft Excel were used [52]. Then to analyze influential nodes, the orientation of each group's mission statement was analyzed based on eigenvector centrality, as done in the first network analysis.…”

“…The results of mapping the keywords and nine components of each group are shown in Tables A1-A6 in the Appendix A. The two-mode matrix was converted to a one-mode matrix using the MMULT and TRANSEPOSE functions in Microsoft Excel, after which a second network analysis was conducted [52]. The keywords in red are those that were duplicated among the 30 keywords between groups.…”

A Review of Global Collaboration on COVID-19 Research during the Pandemic in 2020

“…This study analyzed the position of each country in a global research network using the centrality index proposed by Freeman [59]. The mathematically calculated centrality index indicates positions and relationships within a network [60] using degree centrality, betweenness centrality, and closeness centrality. Degree centrality is a measure of the number of other nodes to which a node is directly connected; betweenness centrality is a measure of how well a node is connected to other nodes; and closeness centrality is a measurement of how short the distance is from one node to others.…”