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This paper aims to summarise a Doctor of Philosophy research study. The purpose is to provide a summary of the scope, literature review, main issues raised in the thesis, the application of a two phase action research methodology, key research findings and potential areas for future research.

The research investigates the role of knowledge management (KM) in supporting innovation and learning in the construction industry. The research is carried out in two phases. Phase 1 employs a grounded theory methodology to develop and map out the current state of knowledge‐related activities being undertaken in two leading Australian construction organisations. This is developed into a model that shows that the segregation between three crucial components – people, process and technology – of an organisation is required to successfully carry out construction work. Phase 2 utilises soft system methodology (SSM) as a KM tool to identify the gap between organisations' internal and external knowledge sources. This gap is significant as it restricts the pull of knowledge from external knowledge sources.

This investigation provides a model to achieve KM initiatives through adoption of SSM. This results in an improvement in the integration of people, process and technology within an organisation, an increase in the capacity of the organisation to pull external knowledge, and thereby improve its own internal knowledge bank. All these improvements help an organisation to transform itself into a learning organisation that can continually adapt and innovate.

KM research is relatively new in the construction industry. This research has significantly added to the existing body of knowledge in the domain of KM by effectively linking KM with innovation and learning. This provides a strong case for employing KM in order to make innovation a regular phenomenon within the construction industry and encouraging organisations to transform themselves into learning organisations.

This paper provides practitioners with an insight into how KM can be applied in project management (PM)‐oriented organisations. Also the research explores an identified gap between PM research and practice, and argues that industry needs to effectively work in collaboration with knowledge sources found in academia. The paper also demonstrates that SSM can be used to create artefacts of knowledge.

The existence of codes of ethics in most organizations does not seem to have reduced unethical behaviour especially in the construction organizations due to lack of effective ethics management such as embeddedness of ethical codes. The purpose of this paper is to bridge the current knowledge gap by highlighting the principal factors determining the embeddedness of codes of ethics in construction organizations.

Questionnaires detailing 30 factors determining ethical code embeddedness were sent to professionals in construction organizations in Hong Kong. In total, 160 valid responses were analysed by mean score and exploratory factor analysis.

Based on the mean score, “protecting anyone who exposes alleged wrongdoing”, “managers acting as role models” and “giving code standards with explanation to new employees” are the three factors that ranked highest. From the results of factor analysis, six factors were extracted, including; process of code internalization, identification and remover of barriers, process of enacting value, process of accountability, process of coding and process of monitoring. These are processes that enable proper integration of codes of ethics within construction organization.

While this study has provided useful information regarding ethical codes, the limitation is inherent in the population of the study in that, percentage representation of construction organizations in Hong Kong could not be presented. This was due to the sensitivity of ethics as perceived by construction practitioners. The authors, at the initial stage, sent invitation letters to several organizations inviting them to participate in the research but they all declined. Therefore, the data collection approach discussed earlier was adopted and the questionnaire was made strictly anonymous which made it difficult to classify organizations that are represented. Nevertheless, it is hoped that this paper will engineer a change in research direction and open up new discussion channels.

The results presented in this study provide sufficient evidence and useful pointers to clarify some misconceptions about factors determining code embeddedness. These findings help to clarify what the high-prioritized factors are, and could also be used as an assessment tool to evaluate performance of an organization regarding codes of ethics and thus help to identify areas requiring improvement.

This paper aims to determine the responses of construction organisations to the Coronavirus (COVID-19) pandemic and its associated lockdown and the impact on the South African construction industry (SACI).

The study adopted a quantitative survey with responses sought from 825 contracting organisation’s representatives drawn from the database of the construction industry development board. The data gathered were analysed using percentage, mean item score and one-sample t-test. The reliability of the research instrument was also tested using the Cronbach alpha test.

Findings revealed that most construction organisations implemented a complete travel ban and halting all business operations on sites and offices in a bid to curb the spread of the virus. Furthermore, whilst most construction organisations envisage significant disruption in their project delivery, the problem of job losses was regarded as a short, medium and long-term impact of the pandemic. Loss of revenue, a decline in the economy and business interruption are also some of the potential impacts of the COVID-19 pandemic on the SACI.

The study’s findings give practical insights on the potential impact of the pandemic on the construction industry and the possible approach needed to help cushion the effect on the industry.

The purpose of this paper is to evaluate and rank the success attributes and success factors of the construction organisations.

The viewpoints of the experts engaged in Indian construction industry were used to apply factor analysis and fuzzy preference relation with the help of a questionnaire survey.

The findings indicate that project factor is the most important factor, whereas favourable market and marketing team is the least important factor. Among the success attributes, the availability of qualified staff is the most important attribute, and health and safety management plan is the least important attribute.

Findings of this study are based on the viewpoint of the experts of construction organisations engaged in building projects in India.

The study can be used as a yardstick for the top management of construction organisations to manage their resources efficiently and to develop a strategy to be successful in this business.

Indian construction industry provides direct and indirect employment to the people of India. Hence, the success of construction organisation will contribute to the development of the society and ultimately the nation.

In the earlier studies, researchers have used various statistical tools to identify and evaluate the alternatives for the success factors of construction organisations, but very few of them have tried to assign weights to those alternatives. The simple ranking of alternatives using various statistical analyses, such as mean and standard deviation, relative importance index, etc., is not much useful unless their relative weights are known. With the help of the present study, the authors have tried to overcome the shortcomings of the previous research works.

Literature suggests that there are sets of common variables that are capable of explaining organisational performance differentials. These variables are used to examine performance variance and its contribution to organisation profitability. Therefore, the purpose of this paper is to examine the determinants of large construction organisations’ performance in South Africa using a partial least squares path analytic method.

This study examines the interrelationship between a number of constructs, namely, organisational characteristics, resources/capabilities, competitive strategies, business environment and performance, using a questionnaire survey to obtain data from 72 large construction organisations in South Africa. Using a path analytic approach, the paper examines the relationship between the constructs discussed in the study.

The findings from the analysis of the data show that organisational characteristics do indeed influence the performance of organisations, and that the business environment is capable of moderating the relationship between competitive strategies and performance. The results, however, indicate that organisations that combine sustained organisational characteristics and strategy tend to experience high performance over those that do not.

The study findings have implications for management practice, as it could help managers of construction organisations to acknowledge the influence of organisational characteristics, unique resources/capabilities, competitive strategies and business environment as sources of competitive advantage. The study contributes to the current debate on the causes of performance differentials among large construction organisations.

The decision-making styles and strategies of organisations play significant roles in their competitive advantage and the achievement of superior performance. The purpose of this study is to explore the effect of decision-making styles on the strength of the relationship between competitive strategy and organisational performance among large construction organisations based in South Africa.

The study focuses on large construction organisations in South Africa using a questionnaire survey to elicit information. The sample consists of 72 large construction organisations, and the measures of decision-making styles, competitive strategies and organisational performance used for the instrument utilised to elicit information were derived from the literature. Descriptive, parametric and multiple regression analyses were used to determine the effect of decision-making styles and competitive strategies on the organisations’ performance.

The results of the study show that organisations utilize all types of decision-making styles, but the most significantly adopted styles are analytical and directive. The study found that decision-making styles influence organisational performance through competitive strategies.

The research considered large construction organisations based in South Africa and operating in three provinces, where almost 75 per cent of all public projects are being implemented. The findings can be generalised to other large construction organisations functioning within the South African industry, because most of the organisations surveyed operate nationally. However, the findings may not be generalizable to the entire industry. Small and medium-sized organisations vary in terms of structure in relation to large organisations; hence, their decision-making styles may be different.

The study makes explicit the need to consider the role of different decision-making styles being practiced within organisations and how their moderating effect influences organisational performance beyond rational processes. A better understanding of this will enable organisations to achieve the total commitment of their staff to achieve superior performance.

The study contributes to the existing literature and body of knowledge on the strategic management of organisations. It underpins the assertion that decision-making styles and competitive strategies can influence organisational performance, and this is validated within the construction industry. Knowledge of the relationships between the variables measured in this paper will be beneficial to both owners and managers of construction organisations, because they provide the necessary information on how strategic decision-making styles influence the strategy adopted and, in turn, the organisational performance.

The popularity of Building Information Modelling (BIM) has improved tremendously in recent years. The business sense it makes to construction small to medium‐sized (SME) organizations has also become vitally important, especially when the deliverables of BIM potentials are becoming more explicit than they were several years ago. Moreover, there is adequate evidence to suggest that an early adoption of BIM by construction SME organizations could mean marked sustainable business advantage to them. The purpose of this paper is to initiate a long‐term study on how BIM triggers market improvements in the Australian construction industry, to establish the specific impact of these on construction industry's contribution to Australian economy, also to develop a simple model on the cost of implementing BIM in a typical construction SME.

This research relies on evidence from literature to identify different operational models of construction organizations, namely; matrix, divisional, functional and networked business models. A definite approach was taken to articulate some contributory concepts and rationales which drive organizational response to technological changes across the identified four categories of organization structure models. Focus group discussion was the primary research method for this study, while additional data were collected from public sources. Respondents and data were sourced from two firms selected from each type of organization model. In the end, 24 industry practitioners from a range of Australian construction SME businesses that provide software and technical support services, consultancy and contracting services took part in the study.

Analysis of 32 sample cases revealed that BIM implementation costs were mostly defined by a range of cost variables, including software acquisition and technical support, hardware, training, services and implementation contingencies. On the average, software costs accounted for about 55 percent of total implementation costs. This particular cost descriptor was about five to seven times more than the cost of hardware (depending on the level of sophistication of operations, expected implementation outcomes and whether new hardware were used or existing installation were upgraded with BIM compliant drivers). The study also found that training cost was a third of software costs, while the average total cost of services, recruitment and contingencies, all added together, was about 5 percent of total implementation costs. In the end, a linear model was developed to predict the cost of BIM implementation in construction SMEs.

A preliminary version of this study has been presented in the 2010 edition of the International Conference on Information Technology in Construction (CIB W078). As a study in a new direction, it focuses on specific organization models and their unique responses to drivers of change. While other studies have looked into macro implementation of BIM, mostly without considering the peculiarity and dynamics of organization structure, this study has focused on construction SME businesses offering a wide range of services.

The purpose of this study was to investigate and propose the appropriate K‐mapping models as an approach to integrating key project components and technologies for the effective improvement of project performance within and across construction projects.

In this holistic, single‐case study, one of the largest construction consulting firms in South Korea has been studied by conducting 15 semi‐structured interviews and the different loci for each of the K‐mapping components are identified and analyzed. Based on the different loci, four types of the K‐mapping model are provided and elucidated.

Research findings indicate that these four types of the K‐mapping model provide the criteria to identify the appropriate types of K‐map for construction project organizations, according to the characteristics and conditions of their own construction personnel, construction processes, and K‐transfer technologies. With the K‐mapping models, an appropriate knowledge management system (KMS) can be developed more effectively.

First, as interpretivism was adopted as the research philosophy, the case study findings were subjective and qualitative to both the interviewees in the case study company and the researchers, though this study provided an important underpinning for future research on K‐mapping within construction project organizations. Second, the theory developed in this study was based on an investigation of the appropriate K‐mapping models with only a single case study. Nevertheless, this case study provided sufficient data and information to develop and propose a theory for successful K‐mapping model development within construction project organizations.

In the KM area, the definition, benefits, purposes, principles and types of K‐map have been already provided by many KM researchers and practitioners. However, no industry (practical)‐based K‐mapping model has been developed and proposed, especially in the construction industry. Accordingly, the originality of this study to be presented in one of the paper's conclusions: construction processes must be considered and adopted as a key component in the K‐mapping process, and the discussion of the four types of K‐map this research have generated, which significantly expands the existing literature on K‐mapping.

This paper aims to present factors affecting the Indian construction organisations in adopting off-site construction (OSC) methods.

An existing readiness maturity model has been used to assess three large organisations in different parts of India. A case study methodology has been adopted in this paper to highlight critical issues in OSC adoption in India.

This paper presents three case studies and concludes the Indian construction sectors readiness to adopt the OSC methods. Through the case studies, different issues related to the adoption of OSC have been identified and highlighted for the Indian construction sector. Although the three companies are large, there are several small- and medium-sized enterprises (SME) operating in India's construction sector, and future research shall be needed to review these SMEs.

This research study is broadly focused on developing and assessing an OSC readiness framework for Indian construction organisations. The research scope and the population for data collection are limited to large construction organisations in India only.

The proposed OSC readiness maturity model guides construction practitioners in India through a structured process to assess their OSC readiness in the market. This assessment enables them to evaluate and benchmark their processes through the strategic and operational phases. This research will add to the existing knowledge of OSC in India by mapping issues relevant to India's construction industry. The research has provided background on the status of OSC, the drivers and barriers affecting the implementation of OSC techniques in the Indian construction industry.

Through the three case studies, several factors related to the implementation of OSC methods have been identified and highlighted within the Indian construction sector. Although the model has been applied to the Indian construction sector, it can easily be modified to fit into other areas and similar dynamics and business conditions.

The purpose of this paper is to examine the possible moderating role of organisational characteristics (organisational structure, management style and decision-making style) in the relationship between strategy and organisational performance among large construction organisations in South Africa.

The study adopted a quantitative research approach using a questionnaire survey to obtain data from 72 large construction organisations in South Africa. Using hierarchical multiple regression, the paper examines the relationship between the constructs discussed in the study.

The internal characteristics of the organisation form the vital basis for achieving optimal performance. The results obtained from the analysis revealed that decision-making style directly influences the measure of organisational effectiveness, while it could also be inferred that organisational characteristics partly moderate the relationship between competitive strategy and organisational performance. The findings indicate that internal characteristics is one of the means through which organisational strategic factors and contextual aspects are organised to achieve greater organisational performance levels.

The findings have theoretical implications for strategic management literature in construction as it extends the scope of research on strategic management from assessing a set of individual management practices to evaluating a complex mechanism that connects internal characteristics and competitive advantage. It is believed that this study will contribute positively to the role of organisational characteristics in the competitive strategy-performance relationships in large construction organisations in South Africa and to the ongoing discussion on emerging strategic management issues in construction.