Traditionally, the emissions embodied in construction materials have not been considered important; however, they are becoming crucial due to the short time-frame in which the emissions should be reduced. Moreover, evaluating the environmental burden of construction materials has proven problematic and the reliability of the reported impact estimates is questionable. More reliable information from the construction sector is thus urgently needed to back and guide decision-making. Currently, the building sector environmental impact assessments predominantly employ commercial software with environmental impact databases and report results without knowledge about the impact of the software/database choice on the results. In this study, estimates for the embodied environmental impacts of residential construction from the two most widely used life cycle assessment (LCA) database-software combinations, ecoinvent with SimaPro software and GaBi, are compared to recognize the uniformities and inconsistencies. The impacts caused by two residential buildings of different types, a concrete-element multi-story residential building and a detached wooden house, both located in Finland, were assessed, including all building systems with a high level of detail. Based on the ReCiPe Midpoint method, fifteen impact categories were estimated and compared. The results confirm that the tool choice significantly affects the outcome. For the whole building, the difference is significant, around 15%, even in the most widely assessed category of Climate Change, and yields results that lean in different directions for the two cases. In the others, the estimates are entirely different, 40% or more in the majority of the categories and up to several thousand percentages of difference. The main conclusion is that extensive work is still urgently needed to improve the reliability of LCA tools in the building sector in order to provide reliable and trustworthy information for policy-making.

The purpose of this paper is to build a tested model and framework for describing the structure and factors influencing customer satisfaction in the construction industry. The paper introduces a structural equation model illustrating the interdependencies of the factors influencing customer satisfaction. Data for the model are based on 831 assessments obtained from project customers with regard to the successfulness of the project. The results show that customer satisfaction in construction is a complex phenomenon in which various factors have a different impact on the quality as perceived by the customer. Management and factors related to skills have a different impact on the factors describing the end result and methods of the project. According to this study, the contractor's ability to cooperate is divided into two directions: managing changes and communication. The result emphasises the significance of communication in project production. In order to improve their level of service, the contractors should focus on developing and improving their central processes. With regard to customer satisfaction, this stresses the significance of the entire selection of services and products the contractor offers. Customer satisfaction has become a significant tool for measuring performance alongside the traditional, harder measurement tools. Although the demands of customer‐orientation and customer satisfaction have been acknowledged in the field, little attention has been paid to development of customer satisfaction and the factors involved.

Buildings are a major contributor to climate change. Use phase has traditionally been the focus area, but the importance of construction-phase has increased with the emergence of energy-efficient buildings. Life-cycle assessment (LCA) is arguably the best method to assess and analyze the emissions caused by buildings. However, within LCA there are two very different approaches – process LCA and input–output (IO) LCA – which lead to different results. When looking at the scale of published LCA results, it is evident that IO LCAs are placed at the top end, and process LCAs at the bottom end. It is thus questionable whether LCA can provide data that can be used for decision-making and policy formation. This study takes a step toward filling this gap by presenting a comparison of process and IO LCA results of the pre-use phase of a residential concrete element building in Finland. Exactly the same scope is utilized in order to maximize comparability. The results depict how the two main LCA methods produce significantly different results. The implications of acknowledging this are discussed. The results fall in midway between the extremes published using the two methods but still deviate from each other by a multiplier of almost 2.

Academic literature has long recognized the correlation between a company’s organizational culture and its quality performance. The Finnish construction industry is still a highly human powered industry, and thus, organizational culture is seen to have a significant effect on an organization’s efficiency as well. The aim of this study is to examine and determine organizational cultural profiles of organizations in the Finnish construction industry as they are currently perceived and preferred by professionals themselves. In all, 121 professionals working in organizations in the Finnish construction industry were surveyed using the Organizational Culture Assessment Instrument (OCAI). The reliability of characteristics was tested by calculating Cronbach alpha reliability coefficients, and the found differences between the response characteristics were analysed in-depth with paired and independent t-test analyses. The findings show that, on average, construction industry organizations in Finland currently operate with a mixture of clan and hierarchy cultures. Thus, the current organizational culture stresses the point of view of internal focus and integration. However, the organizations desired to emphasize more flexibility and discretion toward individuals. The novelty value of this paper is presenting existing and preferred culture profiles in the Finnish construction industry. These found profiles have the potential to improve management of organizations, which results in better efficiency of the industry through better performance of organizations in the construction industry.

Purpose: In a construction project, “participants’ satisfaction” is one of the main dimensions used for measuring the successfulness of a project. Designers perform a major role in attaining the project goals and managing project complexity during production. The purpose of this paper is to examine the designers’ performance as evaluated by the main participants: the client, the project consultant/manager and the main contractor, and to identify the main success factors of designer performance using the participants’ evaluation. The study also aims to examine how the economic size of a project affects the project participants’ assessment of the designer’s performance. It is assumed that as the size of a project increases, so does the complexity of the project, which will affect the scope of work and demands on the designers’ operational performance for the specific project level.Design/methodology/approach: The Finnish project evaluation and benchmark database was used in this study as empirical data. The quantitative data consists of surveys on the project level and are based on a multi-dimensional standard evaluation wherein the main participants evaluate each other’s performances. The client, project consultant and main contractor evaluated the designer’s performance. The data of the study consisted of a total of 892 evaluations. ANOVA analysis was used to examine the differences between the project participants’ assessments based upon the different economic sizes of the projects.Findings: Contractors were satisfied with the designers’ performance in small projects, whereas the client and the project consultant/manager rated the designers’ performance most successful in large projects. This result may be due to small projects are typically simple and less complex, in which case design solutions are generally well-defined. Nonetheless, the participants’ level of satisfaction follows the same factors. The main problems in the designers’ performance were related to the design content: the flawlessness and comprehensiveness, as well as the compatibility and consistency of designs. These factors were emphasized particularly in the client’s low satisfaction of the designer’s performance. However, project participants were satisfied with the collaboration with designers; however, room for improvement could be found in internal communication and collaboration within the design teams. The findings illustrated that the assessment of the success rate of a project was party-specific, which was clearly affected by the size of the project, as large projects appeared to be more complex than smaller ones.Practical implications: The findings suggested that there is a need to develop project-specific practices in managing multidisciplinary design teams. Additionally, particularly in large projects, designers should focus more on solving problems and design requirements occurring at the construction site. However, this should be implemented in such a way that this does not interfere with the design activities conducted with the client and project management. While client satisfaction is low in the small projects, designers should focus more on customer-oriented methods to serve client needs better.Originality/value: In construction project management studies, there is a need to measure the importance that various participants assign to different success factors. Since project success factors depend on project type, a more project-specific approach is suggested to identify the main parameters for measuring project success. This study provides a holistic approach of the designers’ performance, which contributes to the theory of project success and designers’ performance improvement.