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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.

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.

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.

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.

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.

The construction industry needs effective methods for gathering and utilizing performance information on industry, company and individual project levels. Such benchmarking (BM) information can be collected from project participants’ bi-directional evaluations of each other’s performance during construction projects. The purpose of this paper is to present the method and discuss the features of a multi-company project evaluation system as a BM tool. Also the accumulated results, based on the extensive BM database in the Finnish construction industry, are investigated.

The web-based project evaluation tool was established in 2007 as a joint research project between the Helsinki University of Technology, construction organizations and main associations widely representing the construction industry in Finland. The evaluation method is based on soft, subjective measures, such as client satisfaction and project participants’ satisfaction. The empirical observations of the study are based on over 5,500 evaluations during which the BM system was used in the Finnish construction industry.

The use of the evaluation is presented as a multi-level BM tool to evaluate the performance of different discipline groups on project, company and industry levels. The Finnish case shows an example of the industry-level performance BMs of project consultants, main contractors, sub-contractors and architects/designers. The BM categories include project management, staff, collaboration and project goal accomplishment. According to the results, the participants are satisfied with each other’s performance. However, main development targets in the Finnish industry are related to risk management and managing design. Also, the development of sub-contractors’ selection procedures will contribute to the performance of the industry.

The industry-level feedback is linked to the Finnish construction industry. Similar studies in other countries would enable international comparisons.

Client satisfaction and project participants’ satisfaction have been identified as one of the key factors affecting project success. With the help of mutual project evaluation, different BMs enable organizations to monitor their performance and to improve their operations in various areas. They also make it possible to position an organization’s performance in comparison to the competitors and help to perceive black spots in the process on project level. As a common system for the parties in the industry, the project evaluation BM system promotes quality improvement, customer orientation and collaboration between participants.

Project evaluation between the project participants’ enhance collaboration and mutual learning.

Multi-company project evaluation is a new and promising topic in performance measurement which holds potential for performance improvement through the utilization of network information and team dynamics. The study presents its wider utility as the basis of national, company and project BM.

Construction is often a long‐term project described as a dynamic and complex entity. This is one of the factors making the assessment of construction quality so difficult. The actors in the field of construction need versatile and systematic data about the quality of the construction process and the building in order to be able to operate in a customer‐oriented manner and develop their own operations. The purpose of this paper is to examine the typical factors in a construction project as regards customer satisfaction.

The cluster analysis differentiating between projects in this paper is conducted with a total of 831 construction projects.

The paper reveals seven similar but nevertheless different clusters. What the best clusters as regards customer satisfaction has in common is that the management's professional skills and the cooperation methods are successful when compared to other areas of the cluster. Additionally, good cooperation methods predict good level of customer satisfaction. In all clusters, handover inspections has the lowest level of success. When examining various, good and poor projects, it may be stated that the same factors were successful in all of the projects.

Improving the quality of construction projects from the customer's perspective has gained growing interest also in construction industry. Indeed, information about the project's success factors from the customer's perspective is needed in the construction business. Owing to the complex nature of construction and the special characteristics of project production, construction has had several problems in producing quality in a customer‐oriented manner. This paper describes, the success factors from the viewpoint of customer satisfaction. Construction has become a service industry adopting methods from the field of service management but the use of “soft” measurement tools, such as customer satisfaction, is still at an early stage of development.

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.

The purpose of the study is to evaluate and discuss the extent of the satisfaction as perceived by the students and staff towards university facilities and services in two campuses in Finland. The aim is to analyse which facility-related factors have the greatest impacts on students’ and staff’s overall satisfaction.

The extensive survey was conducted to investigate how the university students and staff assess the university campus and facility services. A framework was developed to prioritise the satisfaction factors towards the facilities in two campuses in the both groups. The study was executed with the statistical assessment method, which combines each question’s mean value and how it affects overall satisfaction.

The findings show that there are differences in the main features of the satisfaction as assessed by the groups and between the two campuses. Student satisfaction consist of factors related to comfortable learning environment, where public spaces and campus accessibility play vital roles. Staff satisfaction can be characterised as a comprehensive campus experience and where laboratory and teaching facilities create value to the staff. In general, results show that the factors related to the research and teaching spaces have the greatest impacts on the overall satisfaction in the both groups. The improvement of the quality of these spaces will then directly assist staff and students in achieving their objectives.

The measurement method developed in the study helps campus facilities’ management to prioritise satisfaction factors and identify the areas of the quality improvements. This information can be used widely, for instance, in the campus development, facilities management and improvement of the university services.

The framework analyses which factors of the facilities have the greatest impacts on the overall satisfaction as perceived by the students and staff. The outcome of the study will improve the knowledge of which aspects of the facilities created value to the universities’ core functions.

The pharmaceutical industry faces multiple risks that adversely affect its performance. Within these risks, some dependencies have been observed, which help in streamlining the mitigation efforts. Therefore, the present work identifies and categorizes various risks/sub-risks in cause–effect groups, considering uncertainty in the decision-making process.

An extensive literature review and experts' opinions were utilized to identify and finalize the risks faced by the pharmaceutical industry. For further analysis, data collection was done using a questionnaire focusing on finalized risks. Based on the data, the causal relation under uncertainty between various risks/sub-risks was identified using a multi-criteria decision making (MCDM) technique, i.e. intuitionistic fuzzy DEMATEL, in a pairwise manner.

The results show that the three most prominent risk categories are operational, demand/customer/market and financial. Also, out of the seven main risks, only supplier and operational are categorized within the effect group and the rest, i.e. financial, demand, logistics, political and technology within the cause group. The sub-risks within each category have also been categorized into cause–effect groups. The mitigation of cause group risks will help in economize the financial resources and improve the performance and resilience of the industry.

There is insufficient research on identifying the causality among the pharmaceutical industry risks. Additionally, an extensive discussion on the identified cause–effect groups is also missing in the literature. Therefore, in this work, efforts have been made to determine the prominent risks for the Indian pharmaceutical industry that will be helpful for channelizing the resources to mitigate risks for a resilient industry.

This paper aims to investigate the emergence of new success measures for buildings and infrastructure post-disaster reconstruction projects, beyond the traditional ”iron triangle”, which have gained prominence with the increased involvement of clients and end-users in these projects. Consequently, the industry is obliged to reconsider the critical factors regarding what constitutes a successful outcome from the perspectives of these stakeholders.

Data was gathered from end-users in four Caribbean islands using a questionnaire survey on eight empirical success indicators obtained from an extensive systematic literature review. To elicit a ranking and correlations amongst the end-user’ perspectives on the indicators, factor analysis and structural equation modelling techniques (SEM) were conducted.

The factor analysis found “safety” to be the most important empirical success measure, while “change” ranked the least important. Correlation analysis using SEM identified two new composite indicators, namely, “competence” with delivering timely and quality environmentally friendly and sustainable projects and “adaptability” in ensuring project objectives reflect beneficiaries’ expectations amidst internal and external influences, to be critical of end-users’ measurement indicators that describe their assessment mechanism. Measurement and structural models validated “safety” and “satisfaction” to be the highest loading variables in the two composites, respectively.

The research focussed on findings in English language articles; therefore, any claim to a complete list of indicators from the literature can be amiss.

Results confirm the traditional “iron triangle” of time, cost and quality to be limited in assessing reconstruction project outcomes and the views and expectations of the potential beneficiaries need to be factored in the planning, design, execution and post-handover stages in all reconstruction projects.

This paper was very specific in its attempt to investigate new success indicators for reconstruction project outcomes, aiming to assist with developing comprehensive project objectives that resonate with all stakeholder groups.