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The paper's aim is to establish the relationships between the formalisation of construction firms on the level of coordination and effectiveness of refurbishment projects.

The approach takes the form of a literature review of published journals and textbooks, a postal questionnaire survey with managing directors, project managers and contract managers. About 94 construction companies were selected for the postal questionnaire survey. In total, 54 (57 percent) of returned questionnaires were considered to be useful for statistical analysis.

Highly formalised construction firms require higher level of coordination than lowly formalised construction firms. In highly formalised construction firms, the participants managing refurbishment projects tend to circumvent formalisation by having more informal interactions, which contradicts the needs of the firms. The effectiveness of highly formalised construction firms is not significantly better than lowly formalised construction firms.

The study is limited to medium and large refurbishment projects, with contract value above £500,000.

The paper highlights the need to reduce formalisation in managing refurbishment projects. Large construction firms, which tend to be highly formalised should set up autonomous refurbishment division to manage refurbishment projects.

The paper shows that the formalisation of the organizational structure of construction firms affects the level of coordination of refurbishment projects.

In developing countries, construction organizations are seeking to effectively implement green innovation strategies. Thus, this study aims to assess the importance of green innovation practices and develop a measurement model for quantifying the green innovation degrees of construction firms.

A mixed-methods research approach is adopted. First, an extensive literature review is performed to identify potential green innovation items, which are then used to design a preliminary questionnaire. Next, expert interviews are conducted to pilot-test this questionnaire. Subsequently, by using a convenience non-probability sampling method, 88 valid responses are collected from construction firms in Vietnam. Then, one-sample and independent-samples t tests are employed to assess the importance of green innovation practices. Fuzzy synthetic evaluation (FSE) is also applied to quantitatively compare such practices. Finally, green innovation level (GIL) is proposed to measure the green innovation indexes and validated by a case study of seven construction firms.

This study identifies 13 green innovation variables, of which several key practices are highlighted for small/medium and large construction firms. The results of FSE analysis indicate that green process innovation is the most vital green category in construction firms, followed by green product and management innovations, respectively. As a quantitative measure, GIL could allow construction firms to frequently evaluate their green innovation indexes, thereby promoting green innovation practices comprehensively. Hence, construction firms would significantly enhance green competitive advantages and increasingly contribute to green and sustainable construction developments.

This research is one of the first attempts to integrate various green innovation practices into a comprehensive formulation. The established indexes offer detailed green innovation evaluations, which could be considered as valuable references for construction practitioners. Furthermore, a reliable and practical tool (i.e. GIL) is proposed to measure the GILs of construction firms in developing countries.

This study aims to explore the innovation deployment of construction contracting firms through exploratory–exploitative learning and organisational ambidexterity.

Firstly, a literature-based conceptual framework was developed to explain innovation implementation through exploratory–exploitative learning and organisational ambidexterity. A prominent Hong Kong construction contracting firm was then selected as the case study to explore its innovation deployment at different organisational levels (i.e. firm and project levels). Qualitative data were attained by conducting 12 semi-structured interviews with industry experts and document analysis. The thematic analysis using NVivo 12 software was adopted to analyse data.

Findings reveal that the case study firm successfully fosters innovation when ambidexterity is achieved through the balance between exploratory (i.e. radical innovation) and exploitative learnings (i.e. incremental innovation).

Establishing uniform ambidexterity (i.e. 50:50) at the firm or project level is not mandatory to deploy innovation successfully. The ratio can vary based on the characteristics and requirements of construction firms.

This paper shall motivate construction practitioners to adopt radical–incremental innovation ambidexterity in firms and ultimately enhance the productivity and efficiency of the construction industry.

Previous construction innovation research has frequently explored firm or project-level innovation separately. This study identified a multi-level focus on innovation. Through the lens of exploratory–exploitative theory, different forms of innovation ambidexterity for different levels are suggested rather than one specific ambidexterity.

This study aims to assess the essential elements of internal organisational capability that influence the cybersecurity effectiveness of a construction firm. An extended McKinsey 7S model is used to analyse the relationship between a construction firm's cybersecurity effectiveness and nine internal capability elements: shared values, strategy, structure, systems, staff, style, skills, relationships with third parties and regulatory compliance.

Based on a quantitative research strategy, this study collected data through a cross-sectional survey of professionals working in the construction sector in the United Kingdom (UK). The collected data was analysed using descriptive and inferential statistical methods.

The findings underlined systems, regulatory compliance, staff and third-party relationships as the most significant elements of internal organisational capability influencing a construction firm's cybersecurity effectiveness, organised in order of importance.

Future research possibilities are proposed including the extension of the proposed diagnostic model to consider additional external factors, examining it under varying industrial relationship conditions and developing a dynamic framework that helps improve cybersecurity capability levels while overseeing execution outcomes to ensure success.

The extended McKinsey 7S model can be used as a diagnostic tool to assess the organisation's internal capabilities and evaluate the effectiveness of implemented changes. This can provide specific ways for construction firms to enhance their cybersecurity effectiveness.

This study contributes to the field of cybersecurity in the construction industry by empirically assessing the effectiveness of cybersecurity in UK construction firms using an extended McKinsey 7S model. The study highlights the importance of two additional elements, third-party relationships and construction firm regulatory compliance, which were overlooked in the original McKinsey 7S model. By utilising this model, the study develops a concise research model of essential elements of internal organisational capability that influence cybersecurity effectiveness in construction firms.

This study aims to investigate the relationship between political connections and the over-indebtedness of firms in the construction industry. Furthermore, this study explores the moderating effect of corporate governance mechanisms with monitoring intent on this relationship.

This study uses the data from China’s listed construction firms for the years 2010–2019 to run the fixed-effect regression. This study constructs the optimal capital structure mathematical model by following the trade-off approach.

The research results show that most of China’s listed construction firms are surprisingly over-indebted in the long run. This study affirms that political connections positively impact the over-indebtedness of China’s listed construction firms. However, corporate governance can alleviate the impact of political connections on the over-indebtedness of China’s listed construction firms.

There were limited studies to discuss the relationship between political connections and the over-indebtedness of construction firms, and no particular attention has been given to the moderating effect of corporate governance mechanisms on the relationship between political connections and over-indebtedness. Moreover, in calculating the over-indebtedness of China’s listed construction firms, this study considers the financial characteristics of China’s construction firms when building the mathematical model of optimal capital structure, which makes the calculation results of over-indebtedness closer to reality.

The interest in corporate social responsibility (CSR) has become burgeoning in the construction industry as firms are under constant pressure from socially conscious stakeholders to demonstrate their efforts to address various CSR issues. This study aims to unveil the key practices and impact factors (KPIFs) of CSR implementation in construction firms and the interrelationships among different key impact factors toward attaining CSR practices.

Mobilizing the integrated institutional, stakeholder and self-determination theories, a theoretical framework was first developed to elaborate the potential inter-relationships among the key impact factors toward CSR implementation. Data were collected from extra-grade contractors through an online questionnaire survey and was then analyzed by the partial least square structural equation modeling method.

The results show that construction firms' CSR practices could be classified into eight distinct key dimensions, e.g. shareholders' interests, government commitment and environment preservation. It is found that three groups of key impact factors – external institutional factors (especially coercive-normative factors), intrinsic factors (especially strategic business direction and organizational culture) and identified factors (i.e. the perceived importance of CSR practices) – have statistically significant positive impacts on most key dimensions of CSR practices.

The research findings have implications for top management to better understand CSR implementation, thereby helping them secure legitimacy to survive and advance in the competitive construction businesses.

The findings contribute to the theoretical body of knowledge in CSR by modeling and empirically demonstrating the influence mechanism of CSR implementation in construction within an integrated model.

The Government's role in industrial innovation has always been conventionally viewed as a regulator rather than a marketer of industrial progress. By breaking out of the box, this study positioned the Government as a marketer of innovation and construction enterprises as “consumers” of innovation products. The marketing mix concept of 4Ps is applied in this study to tailor marketing strategies for Governments, who aim to stimulate a higher level of innovation performance in the construction industry. The paper aims to discuss these issues.

A survey of 97 construction enterprises in Germany is conducted to examine the innovation performance, strategies and resource utilisation of construction firms.

The findings indicate that there is no one-size-fits-all national marketing strategy in promoting construction innovation. The Government is required to classify marketing strategies according to firm sizes and enterprises’ needs in relation to their national innovation environment to maximise their innovation potential.

To illustrate this, marketing strategies according to firm sizes for the Government to stimulate higher innovation performance of German construction enterprises are proposed.

The main recommendation is for the Government to intensify inter-firm co-operation by employing national institutions as the key promoter in establishing and operating industry-led focus groups and world-class research centres.

Acknowledging the role of Government as more than an enabler of construction innovation is required in today's knowledge economy. This study proposes that it may be time for Governments to review their conventional role and adopt a more proactive stance in promoting innovation in the manner that counts to construction enterprises.

The purpose of this paper is to analyze the long-term performance of construction sector initial public offers (IPO) made in India during 2006–2015. The study aims to compare the performance of the construction sector IPOs with the non-construction sector IPOs and finds the determinants of long-term performance of construction sector IPO with a time horizon of three years. The study also attempts to find out, if the long-term IPO underpricing that has been discussed in the literature, really exists or it is a myth.

The study uses data of IPOs listed on National stock exchange during 2006–2015. In total, 281 IPOs are considered for the study, among which 44 are construction sector IPOs. IPOs anniversary performance of three successive years is calculated from the date of listing, and a random effect panel regression model with clustered robust estimates using the maximum likelihood method is performed to find out the determinants of IPO performance. The data are also tested for multicollinearity, stationarity and heteroscedasticity to ensure the robustness of results.

The results show that in the long-run construction sector IPOs outperform the non-construction sector IPOs, though the performance is below average when compared to market returns. The IPO underpricing is a myth, and IPO underperformance is a reality in India. The performance of construction sector IPOs is driven positively by market return, size of the firm and negatively by liquidity of the firm.

The paper is the first attempt to analyze the performance of construction sector IPOs, and compare it with non-construction sector IPOs. The study uses a random effect panel regression model with robust estimates using the maximum likelihood method to ensure the robustness of results. This is the first time the performance of IPOs is studied with a panel data approach.

Recruitment and selection in the construction industry is ad hoc – the search for workers to match immediate employment needs is unsystematic, usually conducted in a short‐termist manner, and often contributes to, rather than overcomes, persistent recruitment difficulties and skill shortages. The purpose of this paper is to explore the recruitment context and selection practice in the Scottish construction sector, and proposes a model of the selection decision process which may provide an explanation for this apparently unsystematic approach.

A survey based on a sample from the 1998 Scottish Chambers of Commerce Business Survey database was used to examine the pattern of recruitment, contextual influences on recruitment, the qualities sought by employers, and the extent of use of various recruitment and selection methods. Further qualitative data was gathered from a subset of construction and surveyors firms to explore the nature of selection processes.

The data highlighted the lack of rigour in recruitment and selection and the presence of formalised procedures only in the larger firms. Qualitative evidence shows an emphasis on the visual assessment of work, the importance of site managers in making decisions, and the presence of local industry networks.

The survey could provide only an indicative description of practice amongst Scottish firms and larger scale accounts of practice would be useful. Nevertheless, the contribution of the qualitative research was to explore the dynamics of selection for a rarely studied work context.

Construction firms are found to share many of the constraints in adopting formal HRM practices already identified in small firms in unpredictable environments.

The complex interactions between firm‐ and industry‐specific factors within a national context and their impacts on innovation often hinder construction enterprises' efforts in optimising their innovation performance. The purpose of this paper is to employ the Cobb‐Douglas empirical production model to develop an innovation production function that illustrates the input and output factors relating to the innovation performance of construction firms.

Applying these factors to a dataset comprising economic and innovation statistics over 20 years for Germany and Singapore, regression analyses were conducted to investigate the critical resources that contribute to the innovation performance of German and Singaporean construction firms.

The findings indicated that the maturity of the innovation landscape in Germany cultivates the strength of German construction firms in developing unique firm‐specific resources that pushes their competitiveness edge. In Singapore, construction firms' dependence on the nation's basic science and technology research leads to weak firm dynamics and innovation capabilities.

It is recommended that in Singapore, the government should focus on the strength of their relationships with construction enterprises to aid the development of construction firms' R&D capabilities. The primary recommendation for both German and Singapore construction firms is to develop a system of knowledge documentation and distribution that facilitates systematically reapplications of know‐how, enabling construction firms to develop sustainable competitiveness through unique knowledge assets.