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This paper aims to highlight the need to place focus on ensuring soft factors in construction projects’ design management and to discuss whether soft factors are hidden success factors.

The presented data is a result of findings from two master theses. The approach is qualitative research and consists of nine semi-structured interviews with design managers and two case studies involving document analyses, meeting observations and descriptions of seven interviews.

This empirical study demonstrates that soft factors are considered important for design managers’ achievement of a successful design process. Focus on soft factors promotes good communication and will improve team performances. Factors are hidden because they are invisible and immeasurable. Furthermore, soft factors are not defined as assigned tasks and are, therefore, easily neglected. Designers are hesitant to explore the possibilities of new technology owing to the fear that they will forfeit human interaction.

This paper is limited to the presentation of empirical findings. Therefore, theory is not a basis for the study but rather a framework for the discussion.

The results in this paper broaden the understanding of human behaviour during the design phase. This knowledge should be considered when the project’s delivery model is designed as it will safeguard actor concerns during the ongoing technological transformation.

This paper contributes knowledge of the view regarding soft factors among project actors. It expands the traditional understanding of value by adding soft factors to the traditional success measures of time, quality and cost.

The purpose of this paper is to propose a model for planning and controlling the design process in companies that design, manufacture and assemble prefabricated engineer-to-order (ETO) building systems. This model was devised as an adaptation of the Last Planner® System for ETO multiple-project environments.

Design science research, also known as prescriptive research, was the methodological approach adopted in this research. An empirical study was carried out at the design department of a leading steel fabricator from Brazil, in which the proposed model was implemented in six different design teams.

The main benefits of the proposed model were shielding design work from variability, encouraging collaborative planning, creating opportunities for learning, increasing process transparency, and flexibility according to project status. Two main factors affected the effectiveness of the implementation process commitment and leadership of design managers, and training on design management and project planning and control core concepts and practices.

Some limitations were identified in the implementation process: similarly to some previous studies (Ballard, 2002; Codinhoto and Formoso, 2005), the success of constraint analysis was still limited; some of the metrics produced (e.g. ABI, causes of planning failures) have not been fully used for process improvement; and systematic feedback about project status was not properly implemented and tested.

The main contributions of this study in relation to traditional design planning and control practices are related to the use of two levels of look-ahead planning, the introduction of a decoupling point between conceptual and detail design, the proposition of new metrics for the Last Planner® System, and understanding the potential role of visual management to support planning and control.

The aim of this study is to develop a framework that incorporates social aspects of housing refurbishment when evaluating the sustainability of refurbishment projects. The research examined whether the German Sustainable Building Council (DGNB) certification yields a holistic approach to social sustainability.

A framework for social sustainability was established from values identified through reviews of certification systems, published literature and from interviews. The target is to better assess and value holistic and soft parameters like social sustainability when assessing the overall value creation of projects.

The result was a more transparent and systematic structure, which revealed that the DGNB certification had shortcomings in a holistic approach to social sustainability. Counteractions for these shortcomings are discussed.

Researchers are still discussing how to include more soft aspects like social aspects with the more hard measures like energy consumption and initial cost in the same equation for addressing sustainability in a more holistic framework. This research contributes to this.

Considering the current climate situation and the amount and the state of existing European building stock, sustainable renovation is inevitable. In Europe, the DGNB certification is one of the most applied certification systems of sustainability. It approaches all parts of sustainability. Yet, social sustainability has been criticised for being neglected.

A review of literature concerning the concept suggests that it is a concept in chaos. There have been a number of attempts to impose some order to this; however, the attempts have all been made differently and with limited success.

The construction industry has considerably evolved in the recent two decades due to the emergence of sustainability, lean construction (LC) and building information modelling (BIM). Despite previous research efforts, there is still a gap concerning the multidimensional nature of their integration. Hence, this study aims to fill the mentioned knowledge gap through exploring and comparing the challenges, enablers, techniques as well as benefits of integrating LC with BIM and sustainability in building construction projects.

A systematic literature review was conducted to fulfill the purpose of this study.

The findings reveal and compare the challenges, enablers, techniques and benefits of integrating LC with BIM and sustainability in building construction projects. The results suggest that there are eight common challenges for integrating LC with BIM and sustainability, including high initial cost, lack of collaboration, lack of professionals and lack of compatible contractual framework. The discovered challenges, enablers, techniques and benefits seem to be mostly routed in people. The findings also suggest that the synergistic benefits of integrating LC with BIM and sustainability can overcome the common challenges (safety, reliability, productivity, collaboration and quality) in construction projects.

The findings contribute to the literature and practice concerning the integration of LC with BIM and sustainability by exploring, comparing and discussing the relevant challenges, enablers, techniques as well as benefits. Moreover, the findings reveal the significance of the development of people in construction industry, besides processes and technology, as people are always subject of activities in construction while processes and technology are always objects.

The purpose of this paper is to discuss a production planning and control model known as the Lean construction management (LCM) model, which applies a number of visual tools in a systematic way to the planning and control process. The application of the visual tools in this way facilitates the flow of information, thus improving transparency between the interfaces of planning, execution and control.

Design Science research is adopted for this investigation, which analyses the original development of the model and reports on its testing and refinement over different types of projects. The research is divided into three parts, each part focussing on a different stage of development and construction project type.

The main findings are related to the benefits of visual management in the construction planning and control process, such as maintaining consistency between different planning levels, so that feasible execution plans are created; control becomes more focussed on prevention rather than correction, and creates opportunities for collaborative problem solving. Moreover, the physical display of the visual tools in a discrete planning area on-site encourages a regular exchange between participants on actual work progress as it unfolds, leading to more timely reaction to the problems at hand.

The problem of a lack of transparency in construction planning and control leads to communication issues on-site, poor process orientation and high levels of waste. LCM improves process transparency by making information related to system-wide processes more readily available to project participants. This enables them to foresee problems in a timely manner and to take necessary measures to resolve them or to adapt the process to current circumstances. The LCM model proposes a new way of applying visual tools and controls systematically to improve transparency in construction planning and control.

The emergence of collaborative delivery models and working practices in construction industry has created a potential area for project success research. Previous studies have addressed success factors of various collaborative delivery models (e.g. alliance and partnering). However, there is currently very limited research-based knowledge concerning core success factors for different collaborative delivery models, exploring the commonalities. Thus, this study aims to conceptualize a success model for collaborative construction projects by identifying and structuring their core success factors through the lens of project delivery elements.

A systematic literature review was conducted, and thematic as well as content analysis of the relevant studies led to the identification of mentioned success factors in the literature for different collaborative delivery models. Then, those common success factors were structured in a model based on factors' relation to project delivery elements.

The obtained results present eight core success factors (e.g. equality, mutual trust and commitment to win–win philosophy) for collaborative construction projects, structured in a model based on their contribution toward project organization, contractual relationships, and operational system in construction project delivery. Moreover, the differences between success factors for traditional and collaborative construction projects are discussed.

This study's findings provide insightful theoretical contributions on collaborative construction project success and providing a departure point for future studies based on the discussed differences between success factors of collaborative and traditional construction projects. The findings can be also practically insightful for the project professionals in collaborative construction projects to succeed in managing project organization, contractual relationships, and operational system.

The purpose of this paper is to employ the computable general equilibrium (CGE) approach to examine how the European–Vietnam Free Trade Agreement (EVFTA) impacts on the Vietnamese economy in the case of the removal of industrial tariffs.

The authors construct a social accounting matrix based on the latest data of the Vietnam input-output Table for the year 2012 and then apply the CGE model to simulate the economic scenarios when the tariff rate of the industrial sector reduces to 0 percent.

The first simulation results demonstrate that the elimination of tariffs in the industrial sector will lead to a 9.13 percent increase in household consumption, together with an increase in the factors of production of the agricultural, industrial and service sectors by 9.61, 9.74 and 8.21 percent, respectively. The EVFTA also causes a deficit in the trade balance because the value of imports increases by 12.54 percent, while exports’ value slightly increases by 2.71 percent. Furthermore, there has been a drop of 2.29 percent in the total government income; nevertheless, social welfare witnesses a gain of 9.13 percent. The second scenario simulation draws crucial attention to policymakers that a small fluctuation in the production tax rate will cause a significant change in the economy.

The reduction of tariff in the industrial sector will increase the social welfare and strengthen the whole economy regarding the growth of household consumption, factors of production and trade value. On the unfavorable side, the EVFTA causes a national budget deficit and puts pressure on domestic production. This paper is a valuable reference for governments and policymakers when they decide to reduce tariffs or adjust production taxes once Vietnam integrates into the world economy.

This study differs from previous research works by utilizing a static CGE model to investigate the impact of removing the industrial tariff on the economy under EVFTA.

A comprehensive intervention test platform, Valla Coach, including quantitative and qualitative methods to measure and improve work flows on site and promote coaching and collective learning has been developed jointly by researchers and practitioner. The study aims to describe the methodological underpinning of the platform, and discusses the preliminary results and implications.

Expansive Learning Theory grounded in a cultural–historical perspective underpins the conceptual realisation of the test platform. The viability of the platform was tested in four contextually different construction sites (and contractors), combining established and new measurement tools, qualitative intervention approaches and coaching according to the production challenges at hand.

Valla Coach created a space on site where researchers-as-coaches and operatives converged to co-construct (new) knowledge and learn together. The knowledge that emerged from the interactions gained legitimacy through its situatedness and practical value for the operatives.

Valla Coach provides opportunities for researchers and practitioners to probe the taken-for-granted. Moreover, a variety of methods and tools are tested in different contexts. The interventions prompt questioning of assumptions and make contradictions visible. Valla Coach remains work-in-progress and needs further evaluation and validation.

We contribute insights from negotiating socio-technical complexities, evaluating digital measurement tools and technologies and experiences of operatives. Tensions at the interface between the organisation and project are rendered visible.

A bottom–up approach that is a combination of practice-based tools and methods and of theories of learning and sustainable and continuous improvements where the operators are the main actors that enable productive activity.

This study aims to improve a construction company's overall project delivery by utilising lean six sigma (LSS) methods combined with building information modelling (BIM) to design, modularise and manufacture various building elements in a controlled factory environment off-site.

A case study in a construction company utilised lean six sigma (LSS) methodology and BIM to identify non-value add waste in the construction process and improve sustainability.

An Irish-based construction company manufacturing modular pipe racks for the pharmaceutical industry utilised LSS to optimise and standardise their off-site manufacturing (OSM) partners process and leverage BIM to design skids which could be manufactured offsite and transported easily with minimal on-site installation and rework required. Productivity was improved, waste was reduced, less energy was consumed, defects were reduced and the project schedule for completion was reduced.

The case study was carried out on one construction company and one construction product type. Further case studies would ensure more generalisability. However, the implementation was tested on a modular construction company, and the methods used indicate that the generic framework could be applied and customized to any offsite company.

This is one of the few studies on implementing offsite manufacturing (OSM) utilising LSS and BIM in an Irish construction company. The detailed quantitative benefits and cost savings calculations presented as well as the use of the LSM methods and BIM in designing an OSM process can be leveraged by other construction organisations to understand the benefits of OSM. This study can help demonstrate how LSS and BIM can aid the construction industry to be more environmentally friendly.

In the last two decades, the dependence of Taiwan’s manufacturing production on imported intermediate inputs has steadily risen. Meanwhile, the market share of imported consumable manufacture products has also increased. The steady rise of both import shares may not be explained by price fact or since the relative import prices have shown no decreasing trend. The scenario of constantly buying more imported goods when they are not cheaper can be treated as a preference change in favor of imported goods, which may be caused by the popularity of outsourcing, increasing product varieties and persistent trade barriers, as literatures indicated. Traditional macroeconomic models primarily consider the price mechanism in their import demand estimates, with no concern for changes in import preferences. Neglecting changing import preferences in a rapid globalization environment may yield biased empirical results. In this article, we incorporate the import preference factor into a single-country Computable General Equilibrium (CGE) model and use it firstly to quantify the scale of preferences change and then to test how the preferences change affects the effects of trade policy. The empirical results with and without the concern of import preferences change are compared to yield the scale of bias caused by neglecting the change.