Search results

To further promote application of BIM technology in construction of prefabricated buildings, influencing factors and evolution laws of willingness to apply BIM technology are explored from the perspective of willingness of participants.

In this paper, a tripartite game model involving the design firm, component manufacturer and construction firm is constructed and a system dynamics method is used to explore the influencing factors and game evolution path of three parties' application of BIM technology, from three perspectives, cost, benefit and risk.

The government should formulate measures for promoting the application of BIM according to different BIM application willingness of the parties. When pursuing deeper BIM application, the design firm should pay attention to reducing the speculative benefits of the component manufacturer and the construction firm. The design firm and the component manufacturer should pay attention to balancing the cost and benefit of the design firm while enhancing collaborative efforts. When the component manufacturer and the construction firm cooperate closely, it is necessary to pay attention to balanced distribution of interests of both parties and lower the risk of BIM application.

This study fills a research gap by comprehensively investigating the influencing factors and game evolution paths of willingness of the three parties to apply BIM technology to prefabricated buildings. The research helps to effectively improve the building quality and construction efficiency, and is expected to contribute to the sustainability of built environment in the context of circular economy in China.

The authors provide new quantitative evidence of the relationship between technologies and organizational design in the context of complex one-off products. The systems that produce complex, one-off products in mature, fragmented industries such as construction lack many of the typical organizational features that researchers have deemed critical to product development success (e.g., team familiarity, frequent communication, and strong leadership). In contrast, the complexity of these products requires a diverse knowledge base that is rarely found within a single firm. The one-off nature of construction’s products further requires improvization and development by a distributed network of highly specialized teams. And because the product is complex, significant innovations in the end product require systemic shifts in the product architecture. Riitta Katila, Raymond E. Levitt and Dana Sheffer use an original, hand-collected dataset of the design and construction of 112 energy-efficient “green” buildings in the United States, combined with in-depth fieldwork, to study these questions. A key conclusion is that the mature US construction industry, with its particularly fragmented supply chain, is not well suited to implementing “systemic innovations” that require coordination across trades or stages of the project. However, project integration across specialists with the highest levels of interdependence (i.e., craft, contract integration) mitigates the knowledge and coordination problems. There are implications for research on how technology shapes organizations (and particularly how organizations shape technology), and on the supply chain configuration strategies of firms in the construction industry as well as building owners who are seeking to build the best buildings possible within their budgets.

Total factor productivity (TFP) change is an important driver of long-run economic growth in the construction sector. However, examining TFP alone is insufficient to identify the cause of TFP changes. Therefore, this paper employs the infrequently used Geometric Young Index (GYI) and stochastic frontier analysis (SFA) to measure and decompose the TFP Index (TFPI) at the firm-level from 2009 to 2018 based on Malaysian construction firms' data.

To improve the TFPI estimation, normally unobserved environmental variables were included in the GYI-TFPI model. These are the physical operation of the firm (inland versus marine operation) and regional locality (West Malaysia versus East Malaysia). Consequently, the complete components of TFPI (i.e. technological, environmental, managerial, and statistical noise) can be accurately decomposed.

The results reveal that TFP change is affected by technological stagnation and improvements in technical efficiency but a decline in scale-mix efficiency. Moreover, the effect of environmental efficiency on TFP is most profound. In this case, being a marine construction firm and operating in East Malaysia can reduce TFPI by up to 38%. The result, therefore, indicates the need for progressive policies to improve long-term productivity.

Monitoring and evaluating productivity change allows an informed decision to be made by managers/policy makers to improve firms' competitiveness. Incentives and policies to improve innovation, competition, training, removing unnecessary taxes and regulation on outputs (inputs) could enhance the technological, technical and scale-mix of resources. Furthermore, improving public infrastructure, particularly in East Malaysia could improve regionality locality in relation to the environmental index.

This study contributes to knowledge by demonstrating how TFP components can be completely modelled using an aggregator index with good axiomatic properties and SFA. In addition, this paper is the first to apply and include the GYI and environmental variables in modelling construction productivity, which is of crucial importance in formulating appropriate policies.

Corporate social responsibility (CSR) and innovation are the two main approaches firms utilize to promote sustainable development. However, as yet, scholars have reached no consensus regarding their precise impact on construction firm performance (CFP), hindering efforts to implement effective sustainable development strategies that improve CFP. In view that a simple linear relationship may not be sufficient to capture their precise pattern, this study aims to unveil the nonlinear impact of CSR and innovation on CFP, especially when construction firms take up a distinct competitive position.

This study first proposed four hypotheses to establish a new theoretical model by incorporating CSR, innovation, CFP and construction firms' competitive position (CFCP). Then the model was tested by using 292 annual observations collected from 75 construction firms in China. A multiple regression model analysis was carried out to analyze the survey data and validate the hypotheses.

The results reveal that both CSR and innovation have a U-shaped impact on the price-to-book ratio of a construction firm, a specific CFP measure. CFCP negatively moderates the U-shaped relationship between CSR and CFP, but positively moderates the U-shaped relationship between innovation and CFP.

This study goes beyond a simple linear view, instead of unveiling the nonlinear U-shaped effects of CSR and innovation on CFP that deepen the understanding of their complex relationships in the construction industry and makes construction firms aware that CSR and innovation can only improve performance if they reach a certain level. The moderating role of CFCP provides important implications for construction firms seeking to adopt appropriate competitive strategies related to social responsibility and innovation that both promote CFP and achieve sustainable development.

Health and safety in small construction firms is often neglected by owners leading to poor health and safety performance and unacceptably high fatality and injury rates. A body of knowledge has established significant links between the motivational behaviours of operatives towards health and safety. Motivation is also considered as a key tool for improving operative productivity as when operatives experience safe worksites, they can carry out their work in a more productive manner. The purpose of this research is to develop a framework to examine the motivational factors that affect operative health and safety in small construction firms.

A critical review and synthesis of the body of knowledge incorporating motivational theory, health and safety literature and the factors which characterise small firms, is used to develop the framework.

Key components of the framework include the presence of intrinsic and extrinsic components, appropriate health and safety policies and procedures, the type of work environment, the operatives (i.e. attitude, experience and training) as well as the presence of appropriate management and supervision. The study revealed that operatives in small firms are less likely to be extrinsically motivated due to the absence of training, management commitment, policies and the wider working environment

Failure of motivational support can result in increased danger and risk in exposing operatives to injury in the small firm environment. In this context, the damage caused to operative's health and safety in small construction firms is dependent mainly on the extrinsic factors.

The framework provides a basis for improving our understanding of how to motivate operatives to act safely and will help to improve the health and safety performance of small firms. It is therefore vital to emphasise enhancement efforts on these extrinsic strategies in the small firms' environment especially in the initial stages of the project (or activity), so that the health and safety of operatives in small firms can be improved.

This study proposes a contribution in developing an understanding of the motivational factors and their influence on the health and safety of operatives in small construction firms. The study revealed that operatives in small firms are less likely to be extrinsically motivated and have only intrinsically motivated elements in their workplace. The study proposes an indirect link between the extrinsic and intrinsic factors that affect motivation.

This paper aims to appraise a decade (2004-2013) of annual financial statements of 58 locally owned construction firms’ (LOCOFs’) financial statements on turnover, fixed assets, gross profit and after-tax profit to assess their financial performance in the Nigerian construction industry. It serves as a check on firms’ financial performance, analysis and benchmarking of LOCOFs’ financial statement values to assess firms’ financial health and psychosocial environment.

A purposively sampled frame of 580 LOCOFs’ financial values (turnover, fixed asset and gross profit) from 212 turnover, 207 fixed assets, 184 gross profit and 217 after-tax profit data points was obtained. Firms’ capacities were obtained by categorisation, industrial average median was obtained and a regression analysis was used to describe the relationship and test of significance of the variables. A review of the possible effect of the research findings on LOCOFs’ psychosocial environment was undertaken.

Most LOCOFs were categorised as micro scale construction contracting business enterprises. LOCOFs’ financial performance was less than the performance of similar construction firm types and profits were not necessarily influenced by the cost of its investments on fixed asset but rather on firms’ turnover.

A limitation of this study is the paucity of financial data because of poor information access and storage.

The paper recommends more funding of infrastructural developmental projects and better patronage of LOCOFs which will positively influence firms’ turnover, profit and the psychosocial well-being of organisation and personnel.

This paper fulfils an identified need to periodically assess LOCOFs’ financial values so as to appraise financial performance and its possible effect on firms’ psychosocial environment.

The purpose of the study is to examine the value-based performance of firms in construction sector in India using Tobin's Q and Market Capitalization (MCAP) and then determine their significant financial drivers.

The study is based on data from 87 firms engaged in infrastructure, real estate, industrial construction and allied areas in India over a study period of 10 years. Three distinct forms of panel regression models have been developed using Tobin's Q and MCAP as dependent variables. The models developed are using Baltagi's (1981) Error Component 2SLS, Varadharajan-Krishnakumar's (1987) Generalized 2SLS and Arellano – Bower/Blundell – Bond's (1991) dynamic panel.

The study found that MCAP is a better suited value-based performance measure for construction sector firms in India. The study further reports that the age of the firm, profit after tax, investment in research and development, dividends, leverage and net fixed asset are significant positive drivers, whereas cash flow is a significant negative driver.

The study is limited to a geographic location; therefore, the findings of this study cannot be generalized.

As MCAP is a better suited value-based performance measure of a firm in the construction sector, managers should focus on improving profitability, higher research and development activities, higher dividends and higher expenditures on net fixed assets for improvement.

This is an original attempt to examine the value-based performance of firms in the construction sector in India using Tobin's Q and MCAP.

Building information modelling (BIM) adoption is vital to the productivity and competitive nature of the construction sector. However, BIM adoptions have not been generally embraced by many architecture, engineering and construction (AEC) firms, particularly in developing countries. Moreover, studies that investigate the important drivers to BIM adoptions among construction professionals through quantitative approach are limited. The purpose of this study is to address the aforementioned gap.

This study involves a literature review, a pilot study and a questionnaire survey. The primary data were carried out using structured questionnaires distributed to four different BIM adopter AEC firms. These comprised architectural firms, facility management firms, quantity surveying firms and structural engineering firms in Lagos, Nigeria. Data obtained were analysed using mean score, standard deviation, Kruskal–Wallis test and factor analysis.

The study identified 23 drivers to BIM adoption, and the relative importance of the identified drivers was gauged from each selected BIM adopter AEC firm category. The result of the Kruskal–Wallis test showed that there is no statistically significant difference in the perceptions of the four selected AEC firms in the mean ranking of the identified 23 drivers to BIM adoption. The findings from factor analysis categorized the identified drivers into two major factors to include cost and time savings, improved communication, and BIM awareness and government supports.

The study empirically identifies important drivers to BIM adoption that will be useful for construction stakeholders to formulate strategies to adopt the full implementation of BIM in the AEC firms of Nigeria and other developing countries. Also, this study is important as it identifies, analyses and compares the drivers to BIM adoptions from four different AEC firms, thereby providing robust and more reliable findings.

The study findings will provide information to policymakers and construction stakeholders to make policy recommendations that are capable of positively influencing the widespread adoption of BIM in AEC firms in particular and the construction industry at large. This study is important because the studies that comparatively and empirically analyzed BIM drivers in AEC firms are rare, particularly in developing countries. Hence, this study could be used to benchmark future studies in developing countries.

Government initiatives to improve construction have increasingly become more focused on introducing a repertoire of technologies to transform the sector. In the literature on construction industry transformation through policy-backed initiatives, how firms will respond to the demands to adopt and use innovative technologies and approaches is taken for granted, and there is scarcely any attention given to the institutional implications of transformation agenda. The purpose of this paper is to discuss these gaps and offer directions for future research.

Following a synthesis of literature on the UK’s industry transformation agenda, the authors use the concepts of institutional logics, arrangements, complexity and strategic responses to suggest seven research questions that are at the nexus of policy-backed transformation and institutional theory.

In this paper, the authors argue that increasing demands for the adoption and use of digital technologies, platforms, manufacturing approaches and other “industry-4.0”-related technologies will reconfigure existing logics and arrangements in the construction industry, creating a problem of institutional complexity for general contracting firms in particular.

The questions are relevant for our understanding of the nature of institutional complexities, change, strategic firm responses, field-level dynamics and implications for the construction industry in relation to the transformation agenda. This paper is positioned to spur future research towards exploring the consequences of industry transformation through the lens of institutional theory.

This study aims to identify the most profitable segment of construction firms amongst real estate, industrial construction and infrastructure. This paper also examines the determinants of profitability of real estate, industrial construction and infrastructure firms.

The data of 67 firms (20 real estate, 21 industrial construction and 26 infrastructure) is collected for a 15-year period (2003–2017). Two models are created using total return on assets (ROA) and return on invested capital (ROIC) as dependent variables.. Leverage, liquidity, age, growth, size and efficiency of the firm are identified as firm-specific independent variables. Two economic variables, i.e. growth in GDP and inflation, are also used as independent variables. Initially, the models are tested for stationarity, multicollinearity and heteroscedasticity, and finally, the coefficients are estimated using Arellano–Bond dynamic panel data estimation to account for heteroscedasticity and endogeneity.

The results suggest that industrial construction is the most profitable segment of construction, followed by real estate and infrastructure. Their profitability is positively driven by liquidity, efficiency and leverage. The real estate firms are somewhat less profitable compared to industrial construction firms, and their profitability is positively driven by liquidity. The infrastructure firms have low ROA and ROIC.

The real estate, infrastructure and industrial construction drastically differ from each other. The challenges involved in real estate, infrastructure and industrial construction are altogether different. Therefore, authors present a comparative analysis of the profitability of real estate, infrastructure and industrial construction segments of the construction and compare their determinants of profitability. The results provided in the study are robust and reliable because of the use of a superior econometric model, i.e. Arellano–Bond dynamic panel data estimation with robust estimates, which accounts for heteroscedasticity and endogeneity in the model.