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The accuracy and reliability of subjectively assessing a construction project's complexity at the pre-construction stage is questionable and relies upon the project manager's tacit experiences, knowledge and background. The purpose of this paper is to develop a scientifically robust analytical approach by presenting a novel classification mechanism for defining the level of project complexity in terms of work contents (WCs), scope, building structures (BSs) and site conditions.

Empiricism is adopted to deductively analyze variables obtained from secondary data within extant literature and primary project data to develop project type classifications. Specifically, and from an operational perspective, a two-stage “waterfall process” was adopted. In stage one, the research identified 56 variables affecting project complexity from literature and utilized a structured questionnaire survey of 100 project managers to measure the relevance of these. A total of 27 variables were revealed to be significant and exploratory factor analysis (EFA) is adopted to cluster these variables into six-factor thematic groups. In stage two, data from 62 real-life projects (including the layout and structural plans) were utilized for computing the factor score using the six-factor groups. Finally, hierarchical cluster analysis (HCA) is adopted to classify the projects into collected distinctive groups and each of a similar nature and characteristics.

The developed theoretical framework (that includes a novel complex index) provides a robust “blueprint platform” for main contractors to compile their project complexity database. The research outputs enable project managers to generate a more accurate picture of complexity at the pre-construction stage.

While numerous research articles have provided a comprehensive framework to define project complexity, scant empirical works have assessed it at the pre-construction stage or utilized real-life project samples to classify it. This research addresses this knowledge gap within the prevailing body of knowledge.

A scientometric review of extant literature is conducted to define and delineate upon the enabling dynamic capabilities required to engender the digitalisation of organisations operating in the architecture, engineering, construction and operations (AECO) sector. A secondary aim sought to provide direction for future studies and theories to be tested in this novel field of investigation as well as stimulate wider polemic debate amongst industry stakeholders.

An interpretivist philosophical stance and inductive approach was undertaken in this study, using a grounded theory strategy. Secondary data used was sourced from the Scopus journal database using specific related keywords. VOSviewer was used to prepare co-occurrence maps based on the bibliographic data gathered.

AECO organisations that seek digitalisation must possess the capability to sense and seize opportunities and threats within the business environment and reconfigure their business processes to best meet their market demand. This can be achieved by improving on attributes relating to industrial management and strategic planning, organisational learning, enterprise resource management and innovative information technology. Future studies should target novel areas such as AECO organisations' ambidexterity and service innovation.

This is the first study to explore the dynamic capabilities of AECO organisations in relation to digitalisation adoption. Therefore, the research serves as a robust theoretical background for signposting AECO organisations who seek to transition to digital solutions in the fourth industrial revolution.

This paper aims to investigate the value management workshop process and specifically identifies the roles and responsibilities of the quantity surveyor within this. Information accrued is then used to develop a novel template value management workshop that provides a platform for educating future quantity surveying and other construction professionals.

This research adopts a mixed philosophical epistemological design that uses interpretivism with elements of postpositivism. Specifically, a cross-sectional study of extant literature informs the development of a structured questionnaire that is posed to focus group participants (consisting of experienced industrial practitioners) to secure qualitative feedback and validate the template.

Research findings reveal that the roles and responsibilities of the quantity surveyor in the value management workshop process have hitherto received scant academic attention. Additionally, literature has revealed that available information on workshop content is limited, leading to ineffective studies. There has also been a miscommunication among construction practitioners in relation to the quantity surveyor’s role in the workshop process. Following extensive research, a novel template has been created which identifies the content of each workshop session alongside the roles and responsibilities of the quantity surveyor (and other construction professionals) which can be used for educational purposes.

The literature revealed that scant academic and professional governing body(ies) attention has been paid to the education and training of future generations of quantity surveyors involved in value management. Specifically, there is limited applied case study evidence to investigate this phenomenon and, hence, the workshop curricular presents advance knowledge in this respect and provides a practical template solution.

This study aims to excoriate, define and delineate the main drivers of “change” in commercial construction projects and generate guidelines on how to minimise exposure to the associated adverse effects upon project stakeholders.

The research adopts mixed doctrines through a combination of epistemological lenses, embracing two primary philosophical stances: interpretivism, to identify the primary drivers of change based on a systematic literature review and a post-positivist, inductive approach to analyse the results of change within a Joint Contracts Tribunal (JCT) Design and Build (D&B) construction project case study.

The causal nexus of change during the construction phase is assessed and delineated; the key affecting factors are thematically grouped under headings: extent and severity; time in relation to implementing; instigating party; individual(s) responsible for managing the change; reason for the change; available resource; recoverable or non-recoverable; contract/project type; and type of client. Following this, the effects of change on key elements of the project are encapsulated and recommendations for adaptations which may provide improved experiences are offered.

The study tackles the common issue of managing the deleterious effects of change on commercial construction projects, defining management techniques to minimise stakeholder tribulation.

The advent of Industry 4.0 has engendered opportunities for a coalescence of digital technologies that collectively enable driverless vehicles to operate during the construction and use of a highway. Yet, hitherto scant research has been conducted to review these collective developments and/or sample construction practitioner opinion on them. This study aims to present a systematic review of extant literature on the application of driverless technologies in civil engineering and in particular, the highways infrastructure sector and offers insight into the limitations of associated barriers to full adoption, namely, current technological development processes, legal deficiencies and societal concerns. In so doing, this work presents a vignette of contemporary developments augmented by a critical analysis from practitioners’ perceptions.

A mixed philosophical methodological approach is adopted for this inductive research study. Interpretivism is used to critically analyse the literature and post-positivism to perform content analysis of the literature and synthesis of the discourse with practitioners. A total of 44 related papers published between 1998 and 2019 have been included in this study. Emergent themes identified from literature are then discussed in some further detail, namely, 1) automation and robotics; 2) case studies and simulations; and 3) safety and ergonomics). A focus group is then held with leading industrialists to discuss their experiences of advanced driverless technology applications in practice. Based upon a culmination of emergent evidence, a conceptual model of prevailing barriers is then developed to further elucidate upon the challenges facing the highways infrastructure sector.

Research into driverless technologies within the highways infrastructure sector has received relatively scant academic attention. Hitherto, most advancements made have stemmed from multidisciplinary teams consisting of engineering, information technology and social scientist researchers. There is insufficient supporting evidence of civil engineering and construction academics input into developments made – suggesting that prototype products often fail to adequately consider practical applications in the highways infrastructure sector at the design and use case stage. This view is substantiated by feedback from leading industry experts who participated in unstructured telephone interviews. Their feedback suggests that practical applications of products have been beset with problems, thus creating a perception that advanced technologies are largely “unusable” within the highways infrastructure sector and so are unsuitable for large-scale (and particularly bespoke) industrial applications.

This research critically synthesises the prevailing scientific discourse within extant literature on driverless technologies implemented but also garners practitioner feedback from leading UK industrialists on their applications in practice. Hitherto, this combined analysis approach has been rarely used in spite of it having significant advantages of tacit knowledge reflection on technologies used, where such can be used as a basis for further informed discourse and/or development. Moreover, this work culminates in a conceptual model that acts as a catalyst for future research investigations.

Examines a number of issues in education and training by bringing together 19 abstracts from 1996 journals. Looks at quality learning, communication, information technology, distance learning, lifelong learning and the student market.

The purpose of this study was to investigate the mediating roles of materialism and self-esteem in explaining how family conflict leads to adolescent compulsive buying. Despite the importance of family as a primary socialization agent, scant research has focused on how family conflict impacts adolescents’ attitudes and behaviors as consumers.

A survey of 1,289 adolescents was conducted in a public high school in the Midwestern USA. Regression analyses were used to assess the mediating roles of materialism and self-esteem on the relationship between family conflict and compulsive buying. Additionally, gender was hypothesized to moderate the relationship between family conflict and the two mediating variables.

Results showed that family conflict increased adolescent materialism and lowered self-esteem. Gender moderated the relationship between family conflict and self-esteem with a more pronounced effect for females than males. Materialism and self-esteem were significantly related to compulsive buying. Family conflict had a significant indirect effect on compulsive buying through materialism for females and through self-esteem for both male and female.

Findings suggest that family conflict impacts compulsive buying through its impact on both materialism and self-esteem. Future research is needed to explain why adolescents use compulsive buying as a coping mechanism for family conflict. Then, whether such behavior leads to improved well-being.

Results suggest that adolescents use compulsive buying to cope with family conflict. The study’s focus on family conflict, not simply divorce, expands its implications to all households, intact or not.

This study created a new model of family conflict’s impact on adolescent consumers’ attitudes and behavior.

Safety research has focused on drivers, pedestrians and vehicles, with scarce attention given to highway traffic officers (HTOs). This paper develops a robust prediction model which enables highway safety authorities to predict exclusive incidents occurring on the highway such as incursions and environmental hazards, respond effectively to diverse safety risk incident scenarios and aid in timely safety precautions to minimise HTO incidents.

Using data from a highway incident database, a supervised machine learning method that employs three algorithms [namely Support Vector Machine (SVM), Random Forests (RF) and Naïve Bayes (NB)] was applied, and their performances were comparatively analysed. Three data balancing algorithms were also applied to handle the class imbalance challenge. A five-phase sequential method, which includes (1) data collection, (2) data pre-processing, (3) model selection, (4) data balancing and (5) model evaluation, was implemented.

The findings indicate that SVM with a polynomial kernel combined with the Synthetic Minority Over-sampling Technique (SMOTE) algorithm is the best model to predict the various incidents, and the Random Under-sampling (RU) algorithm was the most inefficient in improving model accuracy. Weather/visibility, age range and location were the most significant factors in predicting highway incidents.

This is the first study to develop a prediction model for HTOs and utilise an incident database solely dedicated to HTOs to forecast various incident outcomes in highway operations. The prediction model will provide evidence-based information to safety officers to train HTOs on impending risks predicted by the model thereby equipping workers with resilient shocks such as awareness, anticipation and flexibility.

Studies of women's employment have pointed to the availability of part‐time work as a major factor in their employment. For many women, the disruptions of their work for family commitments has led to a decrease in their earning power and the status of their work [1]. Professional work is relatively well paid, opportunities for part‐time work are good in many areas and recruitment is restricted to qualified people only. This is particularly true of optometry where there is also little or no evidence of unemployment, providing optimal conditions for the employment of women. Leaving aside factors such as social class, a study of the working patterns of women optometrists might well point out the work potential of to‐day's women. Women's employment.

This research presents a profile of the current skills and competencies that underpin construction management programmes' (CMP) curricula within United Kingdom (UK) higher education institutes (HEIs). In doing so, the work: synthesises disparate taught provisions across a range of HEIs; conducts a cross-comparative analysis between these provisions and engenders wider discourse and new insight into the consistency of current higher education practice.

Both interpretivism and pragmatism are adopted to analyse secondary data sourced from construction management undergraduate programmes in the UK inductive reasoning and inferential analysis (i.e. quantitative rank correlation, text/data mining and qualitative inquiry) are utilised to help underscore the current technical and interpersonal skills and competencies noted within the programmes and develop new theories on curriculum shortfalls and inadequacies.

Research findings demonstrate that the specific content of CMP are bespoke and tailored by the programme teaching team at each individual HEI; albeit, all programmes reviewed are in congruence regards the importance of broad technical and interpersonal themes. However, the degree to which these themes are publicly presented differ from the curricular and institutional documentation; specifically, a more “technical-based skill” image is being portrayed publicly whilst “interpersonal skills” are doing the heavy curriculum lifting. Hence, the foundational curriculum skills and competencies are firmly rooted in a sense of employability and career preparedness; a balance of technical and interpersonal skills. Identification of these skills and competencies provides a springboard for supplementary research to augment curriculum development.

This research constitutes the first attempt to conduct a cross-comparative analysis of descriptive metadata contained with curriculum development documents sourced from various UK HEIs. Emergent findings unearth the key skills and competencies that serve as the curriculum's foundation but also question whether a more consistent approach to construction management education should be sought.