Rapid growth in construction activities as a result of a growing population and urbanization in many parts of the world generates a large amount of waste from construction. To reduce and manage these wastes, a comprehensive understanding of the construction waste generation factors is needed. The purpose of this study is to identify the contributing factors of construction waste in Thailand’s construction industry. The causes of construction waste were identified through an extensive literature review. A total of 28 causes of construction waste were identified and grouped into the four categories: design and documentation, material and procurement, construction method and planning, and human resources. To determine the significant level of each factor, a structured questionnaire survey was carried out to gather information from contractors about causes of construction material waste. The results show that the categories contributing to construction waste ranks as design and documentation, human resources, construction methods and planning, and material and procurement, respectively. Meanwhile, factors from each category were also determined and ranked. Design change, inattentive working attitudes and behaviors, ineffective planning and scheduling, and material storage were among the highest impact factors on construction waste generation in each category. Identifying the significance levels of waste generation factors will help the industry’s stakeholders build suitable strategies to manage construction waste more effectively.
The purpose of this study was to explore and identify factors affecting adoption and implementation of information and communication technology (ICT) in large ICTexperienced Australian construction organizations. During 2002 the researchers undertook an online survey, supplemented by a hardcopy collection option, to gather data from three major construction organizations with many years experience with implementing and adopting IT. The analysis concentrated on a common class of ICT adopted across the three organizations so that factor analysis could be validly undertaken. Results identified 11 factors that were found to influence ICT diffusion and adoption by the organizations that were grouped into management, individual, technology and workplace environment categories. These concurred with theory from the change management, innovation diffusion and organizational learning literature. Further, in-depth qualitative analysis through case studies (beyond the scope of this paper) also helped to explain and make sense of the results. The results help to better explain human related factors in particular in terms of the broader and emerging literature of organizational learning and innovation adoption with a clear focus on how the people-side of ICT diffusion and adoption is undertaken. This ICT diffusion and adoption study is undertaken at the firm-level (micro analysis) as opposed to the industry level (macro analysis) and so provides insights into the interplay between diffusion and adoption concepts.
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