Journal Articles

Permanent URI for this collectionhttps://mro.massey.ac.nz/handle/10179/7915

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    Investigating the factors that define and influence safety culture: perspectives from expert professionals
    (Springer Nature Switzerland AG, 2025-06-01) Ortega N; Paes D; Feng Z; Sutrisna M; Yiu TW
    Reducing the number of harmed workers in the construction sector has proven to be a challenging task. While promoting a Safety Culture (SC) is crucial for achieving that goal, defining it and pinpointing the key factors that influence it is difficult. SC has been defined in many different ways, and there is no consensus on what it exactly entails. Therefore, this study aims to investigate the factors that define and influence SC in the New Zealand construction sector. This goal was achieved through a modified Delphi study conducted in two rounds to gather experts’ views and reach a consensus. Data collection included in-depth interviews and survey questionnaires. A total of 32 experienced construction safety professionals participated in the first round, and 26 of them continued in the second round. Data were analyzed using Thematic Analysis and Relative Importance Index (RII). The main findings are twofold. First, they indicate the need for a holistic definition of SC incorporating its various defining factors. Second, they indicate that the top-ranked influencing factors are ‘Level of Leadership Commitment,’ followed by ‘Level of Experience and Mindset,’ and ‘Level of Communication.’ Furthermore, the results show the dual nature of these influencing factors, as they can either facilitate or hinder SC depending on whether their level is low or high. The results of this study offer valuable insights that enable practitioners to assess and promote SC in their organizations.
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    Evolutionary Game and Simulation of Green Housing Market Subject Behavior in China.
    (John Wiley and Sons, 2022-04-05) Qian Y; Yu M; Wang T; Yuan R; Feng Z; Zhao X; Fu H
    In China, driven by the national "3060" double carbon targets (i.e., reaching peak carbon emissions by 2030 and carbon neutrality by 2060), green housing has become one of the major fields to reduce carbon emissions, facilitating the achievement of the double carbon targets. Promoting the growth of green housing is an important way for the real estate industry to achieve low-carbon transformation and improve the quality of housing. Meanwhile, the construction industry also can benefit from green housing to achieve its energy conservation and emission reduction targets. Therefore, it is critical to boost and maintain the sustainable growth of the green housing market in China. However, the literature has not focused attention on the market behavior of the green housing market in China. This study proposes a tripartite evolutionary game model to investigate the subject behavior of the green housing market in China. This model consists of three major subjects in a green housing market: developers, consumers, and governments. Based on this model, this study analyzes the stability of the strategy options for each stakeholder and identifies the stable conditions of strategy portfolios to reach the equilibrium points of the game system. The validity of the proposed tripartite evolutionary game model is tested through the simulation of the impacts from various factors on system evolution. According to the impacts of factors and the stable conditions of strategies, this paper puts forward relevant policy suggestions for the healthy and sustainable growth of China's green housing market.