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Although various concepts and techniques are introduced to the built environment to achieve a substantially efficient building production, the effective application of these methods in projects is of immense significance to the field of building construction. Among these initiatives, lean construction and building information modelling (BIM) are mainstream endeavours that share many common principles to improve the productivity of the built environment. This study aims to explore and explain how BIM-based integrated data management (IDM) facilitates the achievement of leanness in a built environment project.

This research is conducted through an ethnographic-action research that relies on the design-science approach and case study through a collaborative research project. As participants of the project, the researchers of this study cooperate with the practitioners to design the project approach and production workflows. Research data and evidence are obtained via participative observation, including direct observation, results of activities, unstructured meetings and self-analysis.

In this study, the project and production perspectives clarify the building design and production process, as well as analyse how BIM facilitates the achievement of leanness in building design and construction. BIM-based frameworks for IDM have been developed to handle miscellaneous information and data, as well as enhance multidisciplinary collaboration throughout the project life cycle. The role of the integrated BIM model as an information hub between the building design and building construction has been identified.

The project and production views of building and construction are used in this study because the research purpose is to link the BIM-based IDM to lean construction. Although this mixed approach can slightly undermine the theoretical foundation of this study, a substantially comprehensive understanding can be gained as well.

This study provides a new perspective to understand how BIM-based IDM contributes to lean construction.

This study provides new insights into IDM in a built environment project with project and production views and presents BIM-based frameworks for IDM to achieve lean construction through the BIM process.

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 investigate the relationship between building smart factories in manufacturing small- and medium-sized enterprises (SMEs) and firm performance and the moderating effect according to product complexity and company size.

Data were collected from 206 companies selected in the list of SMEs, which had built smart factories, provided by the Smart Manufacturing Innovation Center in Korea. The collected data were analyzed using structural equation modeling (SEM) technique.

First, production automation and big data utilization are associated positively with productivity, but not significantly with export performance. Second, supply chain integration is associated positively with both productivity and export performance. Third, product complexity moderates negatively the relationship of productivity with each of production automation, big data utilization and supply chain integration while moderating positively the relationship between supply chain integration and export performance. Finally, company size does not moderate significantly the relationship between productivity or export performance with any of production automation, big data utilization and supply chain integration.

This study contributes theoretically to literature by demonstrating the usefulness of building smart factories and suggesting how SMEs build a smart factory to enhance productivity and export performance from a business perspective. Moreover, this study contributes practically by proposing that SMEs should put priority on supply chain integration over production automation and big data utilization and execute different strategies of building smart factories depending on product complexity.

The purpose of this study is to describe and analyse the business model of product-oriented house-building companies and, hence, bridging the gap of knowledge on this topic. Product-orientation implies an alternative approach to house-building, requiring new knowledge about business models and its characteristics. The balance and fit between the main business model dimensions is specifically focused on to emphasise the importance of a holistic approach.

This study is based on a case study with two leading Swedish, product-oriented house-building companies. Semi-structured interviews with company executives, document studies, site and factory visits, along with seminars at the companies are the main data sources. Theories on business models and product orientation form the theoretical foundation for the study.

The case studies describe two successful companies that used end-customer knowledge to identify a target segment, develop an offering and sequentially increase control over the production and supply chain, with limited investments. This indicates that a market-based outside-in perspective is a successful approach to establish viable house-building concepts with a balance between the business model’s dimensions.

The knowledge brought forward in this study is beneficial for practitioners that can learn about product-oriented house-building and how this must be reflected in the company’s business model to be successfully applied.

The study brings forward knowledge about house-building business models that can contribute to increased house-building targeted on certain customer segments. This can be beneficial in terms of decreased costs and increased volumes of new-built, high-quality homes for a variety of customers on the market.

Business models for product-oriented house-building companies are a scarcely covered topic in previous research, and hence, this study provides knowledge of interest for both researchers and practitioners. The case studies reveal unique information of how two companies developed their successful concepts.

The Japanese prefabrication industry not only has automated its processes to a high extent, but it also innovates due to the fact that it delivers buildings of outstanding quality accompanied by a multitude of services. In order to explore and specify the concepts and parameters that have driven this industry, Japan's prefabrication industry, its cultural, economic and technological surrounding, as well as the applied processes, technologies and economic strategies, have to be illustrated and analysed. The purpose of this paper is to identify, describe and analyse these concepts and their related parameters, as well as to recognise the most influential drivers for the future that provide an indication into which direction the industry could evolve.

Being aware that literature does not provide relevant information and data, which would allow the authors to explore concepts and parameters explaining the success of the Japanese prefabrication industry, the authors performed field surveys, visited factories, R&D centres and sales points of all major Japanese prefabrication companies. In some cases the authors also interviewed general managers, researchers and developers, and academicians at Japanese universities. Based on an extensive literature review in the area of product development, production technology, modularisation, mass customisation, and innovation, the authors qualitatively and quantitatively analysed all major prefabrication companies according to a fixed scheme.

The concepts and parameters identified and analysed in this paper demonstrate that the Japanese prefabrication industry, which is leading in large‐scale industrialization, nowadays focuses towards services that are related to the building's utilisation phase, rather than delivering products. By involving customers it enhances the companies' customer relations, thus creating competitive advantages.

Overall the paper identifies that Japanese prefabrication industry acts rather like a “production industry” than a “construction industry”. Similar to many other high‐tech industries, Japan's prefabrication industry incorporates the latest product and process technologies and combines automation, products and services into complex value‐capturing systems.

Following Philip Selznick’s lead in using pragmatist social science to understand issues of public concern we conducted a study of failed innovation in the commercial construction industry (CCI). We find that social heuristics – collectively constructed and maintained interpretive decision-making frames – significantly shape economic and non-economic decision-making practices. Social heuristics are the outcome of industry-based “institutionalization processes” and are widely held and commonly relied on in CCI to reduce uncertainty endemic to decision-making; they provide actors with both a priori and ex post facto justifications for economic decisions that appear socially rational to industry co-participants. In the CCI – a project-centered production network – social heuristics as shared institutions sustain network-based social order but in so doing discourage novel technologies and impede innovation. Social heuristics are actor-level constructs that reflect macro-level institutional arrangements and networked production relations. The concept of social heuristics offers the promise of developing a genuinely social theory of individual economic choice and action that is historically informed, contextually situated, and neither psychologically nor structurally reductionist.

The purpose of this paper is to introduce the notion of fitness in production as something different from leanness and show that building fitness puts a factory on a course of developing cumulative capabilities and improving its ability to respond to changing market and business conditions.

The paper examines the process of design, launch, and management of a fitness program in 42 factories of the Hydro Aluminum Extrusion Group on five continents between 1986 and 2001. The design was based on the “sandcone model” proposed by Ferdows and DeMeyer but the sequence of capabilities was modified to improve safety, reduce process variability, codify and share tacit production know‐how, improve responsiveness, and improve labor and machine efficiency.

Most factories showed improvements higher than industry average in these capabilities during the 15 years. Moreover, they improved the capabilities listed earlier in the above sequence faster than those listed later, indicating that they were becoming more fit.

Observations were in only one company and industry, which limits general applicability of the model. However, measurements were taken over a relatively long period, factories were spread on five continents, and the authors had access to the actual data during the 15 years, which together provided a unique opportunity to gain deep insights from this case. Future research should test the applicability of the model in other industries and companies.

A fitness regimen provides a roadmap for improving core capabilities in a factory. It is different from building leanness. Fitness helps the factory become leaner, but the opposite is not always true. A factory can become too lean but never too fit.

This paper is the first, to the authors' knowledge, to introduce the notion of fitness in production in the literature. Results observed in this case suggest that a better understanding of how factories become fitter provides insights into some of the deeply ingrained practices of superior manufacturers, especially those that stay competitive over long periods.

The United Nations has demonstrated a commitment to preserving the ecosystem through its 2030 sustainable development goals agenda. One crucial objective of these goals is to promote a healthy ecosystem and discourage practices that harm it. Building materials production significantly contributes to the emissions of greenhouse gases. This poses a threat to the ecosystem and prompts a growing demand for sustainable building materials (SBMs). The purpose of this study is to investigate SBMs to determine their utilization in construction operations and the potential impact their application could have on construction productivity.

A systematic review of the existing literature in the field of SBMs was conducted for the study. The search strings used were “sustainable” AND (“building” OR “construction”) AND “materials” AND “productivity”. A total of 146 articles were obtained from the Scopus database and reviewed.

Bio-based, cementitious and phase change materials were the main categories of SBMs. Materials in these categories have the potential to substantially contribute to sustainability in the construction sector. However, challenges such as availability, cost, expertise, awareness, social acceptance and resistance to innovation must be addressed to promote the increased utilization of SBMs and enhance construction productivity.

Many studies have explored SBMs, but there is a dearth of studies that address productivity in the context of SBMs, which leaves a gap in understanding. This study addresses this gap by drawing on existing studies to determine the potential implications that using SBMs could have on construction productivity.

This paper aims to define key performance indicators (KPIs) for measuring performance of production systems for residential building from a production strategy perspective.

A literature review is done to identify suitable competitive priorities and to provide grounds for developing KPIs to measure them. The KPIs are evaluated and validated through interviews with industry experts from five case companies producing multifamily residences. Furthermore, two of the case companies are used to illustrate how the KPIs can be employed for analysing different production systems from a manufacturing strategy perspective.

Defined, and empirically validated, KPIs for measuring the competitive priorities quality, cost (level and dependability), delivery (speed and dependability) and flexibility (volume and mix) of different production systems.

To further validate the KPIs, more empirical tests need to be done and further research also needs to address mix flexibility, which better needs to account for product range to provide a trustworthy KPI.

The defined KPIs can be used to evaluate and monitor the performance of different production systems’ ability to meet market demands, hence focusing on the link between the market and the firm’s production function. The KPIs can also be used to track a production systems’ ability to perform over time.

Most research that evaluate and compare production systems for residential building is based on qualitative estimations of manufacturing outputs. There is a lack of quantitative KPIs to measure performance at a strategic level. This research does this, identifying what to measure, but also how to measure four competitive priorities through 14 defined KPIs.