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This article aims to describe the development of industrialised house-building (IHB) to increase the understanding of the field.

The study is based on an extensive literature study and a case study with three companies, studied between 2005 and 2013 which enabled an in-depth knowledge about the companies’ development within IHB. Interviews, observations and document studies are the main sources of information in the case studies.

IHB is a complex field, consisting of several constructs that need to be integrated and continuously developed. Development of structured technical building systems has been central to the development of IHB along with developed production methods and processes. The interest in organisational fit or adaptation to industrialisation and strategy concerning business, production and products is increasing. This implies that IHB needs to be managed strategically and not on a building project level.

The article gives an orientation on how leading companies have structured and organised their work within industrialisation, giving valuable advice to practitioners with interest in the field.

This article describes the development of IHB based on studies of literature and three Swedish IHB companies’ development. This provides an aggregated view of the field’s emergence and unique information about the studied companies’ development.

This study aims to discover the impact of failure factors on stakeholder coordination performance (SCP) in the finishing phase of high-rise building projects.

Firstly, this study identifies potential failure factors affecting coordination performance as well as criteria for measuring SCP in the finishing phase of high-rise building projects. Afterwards, a survey questionnaire is designed to collect data from high-rise building projects in Vietnam. Using the factor analysis method, the study discovers the failure constructs. A structural equation model is then built to uncover the relationships between failure constructs and SCP.

The study identified four failure constructs which could significantly affect SCP, namely traditional adversarial relationship (TAR), incompetent parties (IP), poor project planning and organization (PPO) and delays of parties toward construction works (DP). The developed model indicated that TAR, PPO and IP significantly affected stakeholders' coordination performance in the finishing phase of high-rise building projects.

The results of the study fill the gap in knowledge by discovering the causal relationships between failure constructs and SCP in high-rise building projects. The results might provide an initial guideline for stakeholders during the finishing phase of high-rise building projects to enhance their coordination performance.

Construction contractors in Palestine, as in many other developing countries, suffer from many problems. One of their main problems is their inability to meet contractual requirements, such as completing projects within time, at the agreed cost and to the desired quality. Therefore, this paper aims to investigate the causes of the non-fulfillment of contractual requirements in three different types of projects: building, road and electro-mechanical projects.

Two methods were adopted to collect the data – qualitative and quantitative. In total, 65 causes were identified from the literature and qualitative semi-structured interviews with professional experts. These causes were classified into five categories: managerial, financial, contractor capabilities, regulations and laws and political. In the quantitative approach, a questionnaire was developed and then distributed to 50 professional experts: 20 building experts, 15 road experts and 15 experts in electro-mechanical projects. A five-point Likert scale was used to assess the importance, from the perspective of the subject matter experts, of the causes that had been identified. About 35 responses, which represent a combined response rate of 70%, were received. The quantitative data were analyzed using descriptive statistics, with the mean, standard deviation and degree of importance for each of the identified causes being determined, and the SPSS software platform used to rank them.

The results reveal that the most important reasons why contractors did not fulfill their contractual requirements in building projects were that contracts were awarded to the contractor offering the lowest price, and the profit margin was low because of intense competition among contractors. In road projects, the most important causes were the poor estimation of the equipment required and a lack of standardized conditions in the construction sector, while in electro-mechanical projects, the most important causes were the inability of the contractor to estimate the cost of the project accurately because of unclear bid documents and a lack of contractor capital.

The results of this study will be useful to stakeholders and Palestinian contractor unions. They can be disseminated to give guidance so that contractors can avoid these problems in future construction projects and enhance their compliance with contractual requirements. Moreover, knowing about these causes may lead to the reduction of conflicts and disputes between contractual parties (owners and contractors), which in turn will be reflected in the work quality and reputation of contractors.

This study aims to focus on exploring the construction productivity of building projects under the influence of potential factors. The three primary purposes are (1) determining critical factors affecting construction productivity; (2) identifying causal relationship and occurrence probability of these factors to develop a Bayesian network (BN) model; and (3) validating the accuracy of predictions from the proposed BN model via a case study.

A conceptual framework that includes three performance stages was used. Twenty-two possible factors were screened from a comprehensive literature review and evaluated through expert opinions. Data were collected using a structured questionnaire-based survey and case-study-based survey. The sampling methods were based on non-probability sampling.

Worker characteristic-related factors significantly affect labour productivity for a construction task. Construction productivity is dominated by the working frequency of workers (overtime), complexity of the task, level of technology application and accidents. Labour productivity is defined as nearly 50% of the baseline productivity using the BN model created by the caut 2sal relationship and probability of factors. The prediction error of the BN model was 6.6%, 10.0% and 9.3% for formwork (m²/h), reinforcing steel (ton/h) and concrete (m³/h), respectively.

The evaluation or prediction of productivity performance has become a necessary topic for research and practice.

Managers and practitioners in the construction sector can utilise the outcome of this study to create good productivity management policies for their prospective projects.

Worker-related characteristics are dominant among critical factors affecting labour productivity for a construction task; the proposed BN-based predictive model is built based on these critical factors. The BN approach is highly accurate for construction productivity prediction. The findings of this study can fill gaps in the construction management body of knowledge when modelling construction productivity under the effects of multiple factors and using a simple probabilistic graphic tool.

Small and medium-sized contractors are critical to micro and macroeconomic performance. These contractors in South Africa have long been confronted with the problem of business failure because of a plethora of factors, including poor productivity. The purpose of this study is to investigate salient issues undermining the productivity of small and medium-sized contractors in South Africa. This study proposes alternative possibilities to engender productivity improvement.

Qualitative data were collected using semi-structured interviews with 15 contractors in Gauteng Province, South Africa. The research data were analysed using content and causal layered analyses.

Challenges to contractors’ productivity were associated with inadequately skilled workers, management competence and political factors. Skills development, construction business and political factors were dominant stakeholders’ perceptions. Metaphors for construction labour productivity are presented and reconstructed as alternative directions for productivity improvement.

Contractors lose a substantial amount of South African Rand to poor productivity. Alternative directions provided in this study can be leveraged to increase profitability in construction organizations, enhance the social well-being of South Africans and ultimately improve the contribution of contractors to the South African economy.

The causal layered analysis (CLA) applied in this study is novel to construction labour productivity research. The four connected layers of CLA, which make a greater depth of inquiry possible, were explored to investigate labour productivity in construction organizations.

The purpose of this paper is to analyze and provide a synthesis of how services are understood, how they are likely to develop and how future development can be studied more closely in the forest-based sector (FBS). Services are likely to have an increasing role in the FBS in the future.

The findings are based on a literature review of FBS outlook studies, strategies and programs and services-related studies in FBS and general services literature. Three case examples of services businesses in FBS companies are presented, and possible foresight approaches related to them are discussed. Foresight methods used in parallel sectors are also discussed.

The study provides the first systematic introduction, classification and review of FBS services to include both industry- and non-industry-related services. The paper also points out the need for foresight studies and suggests various approaches for an analysis of the potential of FBS services in the future bioeconomy.

The study shows that the role of services in FBS research has been understood too narrowly. As a result, services research has been rather lacking and the future potential of services in the FBS has not been fully acknowledged. The study argues for and points toward the need to use foresight approaches to update FBS strategies, business models and policies to fully benefit from the future potential of services.

The study is a novel introduction, review and discussion of the role of services in the FBS and their future outlook.

The Public–Private Partnership (PPP) mode has been widely used in the urban water environment treatment project (UWETP). The public is the direct perceiver of urban water environment treatment PPP project (UWETP-PPP), and their satisfaction with it can reflect the project's success to some extent. The purpose of this paper is to provide operational management strategies for special-purpose vehicle (SPV) company through public satisfaction evaluation of UWETP-PPP.

A questionnaire was designed through the literature review and experts' opinions that consisted of 33 indexes to investigate public satisfaction with UWETP-PPP. Then, the exploratory factor analysis (EFA) was used to confirm the evaluation index system of public satisfaction. Next, the weights of the indexes were calculated by the normalized mean method and fuzzy synthetic evaluation (FSE) was applied to evaluate public satisfaction with UWETP-PPP. Finally, the importance-performance analysis (IPA) was used to suggest improvement strategies of public satisfaction with UWETP-PPP.

The factors affecting public satisfaction with UWETP-PPP are preliminarily determined, and an evaluation model that provides a specific basis for evaluating public satisfaction with UWETP-PPP in the future is constructed. Furthermore, some strategies and suggestions to improve the performance level of UWETP-PPP are put forward.

First, the factors influencing public satisfaction with UWETP-PPP are numerous and complex. The factors discussed in this study may be further refined to make the research more reliable and effective. Second, the sample from this study can be expanded to multiple projects, so as to make the study more general. Finally, given that the influencing factors in the paper were elicited by using scores obtained through a questionnaire survey, it would bring bias to the result to some extent. The evaluation method can be further improved, such as combining with interval intuitionistic fuzzy evaluation.

In the context of the characteristics of PPP projects in water environment treatment and the huge demand of the country to apply PPP model in the territory of water environment treatment, this study evaluated the public satisfaction with UWETP-PPP in Xuchang City, China. The result provided a beneficial reference for the private organizations to take appropriate actions to improve the public satisfaction level of UWETP-PPP, so as to improve the performance level of SPV. It also provided a system of public satisfaction evaluation with UWETP-PPP, which can be considered as the standard of public satisfaction survey, thus improving the comprehensiveness of the UWETP-PPP performance evaluation system and the government regulatory capacity, thus affecting the sustainable development of UWETP-PPP.

In addition, the research results provide a useful reference for the public organizations to issue a UWETP-PPP regulation rule, review a UWETP-PPP design plan, and conduct new similar project decision-making. In summary, the study results not only serve as a good reference for the evaluation of public satisfaction of eco-environmental PPP projects, but also have essential application value for improving the service level, performance improvement and operational management of the SPV.

The research results of this paper have certain wide-spread value, and the research framework and research method can be applied to other infrastructure section, such as transportation, stadium et al.

Green innovation can promote both environmental sustainability and economic growth. However, its development and implementation can be complex due to the need to align innovation activities within and across companies. In this study, the authors examined how this complexity can be managed by analyzing how individual companies combine different innovation activities to develop green innovation, and how companies along the value chain align to implement these innovations.

The dataset comprises both interviews and a survey of senior executives from the Swedish wood construction industry. These data were first analyzed by using fuzzy set qualitative comparative analysis (fsQCA) to identify innovation activity configurations at the level of the individual company. The interviews were then analyzed to identify alignment mechanisms enabling the implementation of green innovation along the value chain.

At the company level, the authors found three innovation activity configurations with varying levels of complexity: (1) systemic innovation by proactive companies, (2) process innovation by reactive companies and (3) inaction by technology-independent companies. On the value chain level, the authors found three alignment mechanisms that facilitate the implementation of green innovation along the value chain. These mechanisms promote cooperation by increasing efficiency, opening up new market opportunities and increasing the level of servitization.

This paper analyzes the complexity of green innovation and provides novel insights into how complexity is managed at the level of both the individual company and the value chain.

Although line‐of‐balance (LOB) scheduling can be superior to bar charts and networks in repetitive‐unit construction, there are indications that its use is not widespread. In this study, the major limitations of the existing LOB methodology are identified and then eliminated by developing a computer program called repetitive unit scheduling system (RUSS). An effective algorithm that facilitates the implementation of LOB scheduling is developed. A tool that handles logical and strategic limitations caused by the particular characteristics of repetitive activities is provided. A learning model is developed and incorporated into LOB calculations. The program is designed to optimize resource allocation by using multiples of the natural rhythm of activities. An optimum crew size that guarantees maximum productivity in an activity is used throughout the LOB calculations to achieve cost‐optimized schedules. Non‐linear and discrete activities are incorporated into the LOB calculations. RUSS displays the LOB diagram of every individual path in the unit network. It is believed that a system such as RUSS will make the LOB method more appealing to contractors of repetitive projects.