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Specialty contractors have knowledge to contribute to the early design of architecture, engineering, and construction (AEC) products. In current practice, however, they are seldom involved in early design, but evidence suggests that their early involvement is increasing. Lean construction theory advocates such involvement. The practice of involving suppliers in product development efforts and manufacturing has proven to be highly successful. The paper reports on empirical research that identified the contributions of specialty contractor (SO knowledge to early design, which led to gains in process efficiency and improvements in product quality. These contributions are categorized and illustrated by means of examples that stem from current practice or present potential opportunities for improvement. Reasons are given why SC knowledge is often ignored in design. Changes in AEC practices nevertheless suggest that organizations are creating conditions to increase interaction between designers and SCs. Such interactions will help AEC organizations to retain and share the knowledge of individuals as well as learn to develop new knowledge.

Most development processes have the effect of putting innovation in a straitjacket. This is because they encourage heavy up‐front planning followed by sticking to the plan, which imposes considerable constraint on change during a project. Unfortunately, change in product development is linked inescapably to innovation. The more innovative the product, the more likely it is that the team will need to make changes during its development. Therefore, for these more volatile projects, developers need more product development flexibility – the ability to make changes even relatively late in development, without being too disruptive – than is possible with standard development processes. The aim of the book by Preston Smith, Flexible Product Development, is to help companies build a process and apply tools and approaches that are more tolerant of change – ones that accommodate and even embrace change as a natural consequence of working in the innovative domain where change is the norm. The aim of this paper is to explore this issue

The paper reviews the book by Preston Smith, Flexible Product Development.

The paper finds that the book helps companies build a process and apply tools and approaches that are more tolerant of change.

The paper provides a useful review of the material in Preston Smith's Flexible Product Development, which will help companies build a process and apply tools and approaches that accommodate and even embrace change as a natural consequence of working in the innovative domain where change is the norm.

This research aims to develop an approach to assess the reliability of integrated construction supply chains via an integrated model of building information modelling (BIM) and the lean supply chain (LSC). It reflects the synergistic workflow between BIM and LSC as a novel approach to improve the reliability of construction projects.

This research evaluates the reliability of the BIM-LSC approach through a combination of entropy theory, set pair analysis (SPA), and Markov chains (EESM). An exploratory survey was conducted to collect data from 316 industry professionals experienced in BIM and LSC. Subsequently, multiple cycles of calculations were performed with indirect data inputs. Finally, a reliability evaluation index is established for the BIM-LSC approach and potential applications are identified.

The results show that the EESM model of BIM-LSC developed in this study can handle not only supply chain reliability evaluation at a given state but also the prediction of reliability in supply chain state transitions due to changing project conditions. This is particularly relevant to the current environment of the construction project, which is characterised by an increasing level of complexity in terms of labour, technology, and resource interactions.

Future research could consider the accuracy and validity of the proposed model in real-life scenarios with by considering both quantitative and qualitative data across the entire lifecycle of projects.

The research offers a model to evaluate the reliability of the BIM-LSC approach. The accuracy of BIM supply chain reliability analysis and prediction in an uncertain environment is improved.

The BIM-LSC reliability evaluation and prediction presented in this study provides a theoretical foundation to enhance understanding of the BIM-LSC in the construction project context.

This paper proposes a relationship between decision making and key qualities of business systems.

The authors explore the relationship between decision making and systems by contrasting the decision making in two well‐known systems: MRP and JIT. The two systems present two sets of opposing qualities. By considering the relationship between a decision and its environment, we propose that these sets of qualities are not unique to MRP and JIT. They arise from two general approaches to decision making. Having introduced the two approaches, we analyze three product development systems: Stage‐Gate, Agile and Lean.

In manufacturing, MRP is a push system; JIT is a pull system. MRP seeks perfection; JIT seeks consistency. MRP gives decision makers great discretion; JIT constrains decisions. These opposing qualities, and others, arise from two general approaches to decision making: outside‐in and inside‐out. As the difficulty of decisions increase, relative to a decision maker's ability, the cost of mistakes becomes significant. In these situations, the inside‐out approach should outperform the outside‐in approach. The inside‐out approach constrains decision making to limit the cost of errors. The outside‐in approach embraces complexity, exposing itself to more decision errors. In product development, the Lean and Agile systems exploit the inside‐out approach. They constrain decisions and reduce the cost of errors that arise from two sources. Lean addresses interactions, which add complexity to business systems. Agile addresses unpredictability, which adds uncertainty to business systems.

The relationships the authors propose show how decision making affects the development, control and performance of business systems.

Product development is recognized as cross‐functional teamwork that has become important in the fast‐paced, globally competitive environment. Despite an extant body of knowledge on the importance of fuzzy front‐end planning and functions of goals in the management literature, the impact of uncertain project environment and goal setting mechanisms in front‐end planning is not fully understood. Product development literature presents numerous case studies or conceptual papers that emphasize the importance of upfront planning and a need for team building; however, large‐scale empirical studies are rare. This paper presents a model linking uncertain project environment, project target clarity, teamwork and its outcome measures (i.e. a product's value to customer and time to market). The data were analyzed from 205 product development projects of firms from the USA and Canada. Valid and reliable instruments were developed to assess the nature and impact of inter‐relationships of these variables. Results from structural model tests indicate that uncertain project environment influences the nature of project targets which in turn affects the level of teamwork. Teamwork is an important process outcome for enhancing value to customer and time to market. Management implications are discussed as well.

The purpose of this paper is to study the design process innovations that enabled the successful delivery of a hybrid, mass-timber high-rise building in Canada, the Brock Commons Tallwood House at the University of British Columbia. It is one of a set of papers examining the project, including companion papers that describe innovations used during the mass timber construction process and the impact of these innovations on construction performance.

A mixed-method, longitudinal case study approach was used in this research project to investigate and document the Tallwood House project over a three-year period. Both quantitative and qualitative data collection and analysis techniques were used. Graduate student researchers were embedded within the project team to observe meetings and decision-making and to conduct periodic interviews.

The research highlights a case of a balanced triple-helix system that provided a context for the successful “clustering” of product and process innovation, which were developed and implemented to flow throughout the project’s lifecycle and across its supply chain to provide benefits at each stage. Four significant process-based innovations were implemented at the design phase of the building project to support radical product innovation: an integrated design process, virtual design and construction, designing for manufacturing and assembling and a rigorous quality control and quality assurance process. The product innovations developed through these process innovations were the structural system and the prefabricated envelope system. The context of innovation was seen to allow this “clustering,” which is believed to be a key condition of success and enabled the efficient and successful delivery of the project. Generally, the approach was successful; however, some factors including the number of stakeholders and good-faith collaboration may limit the replicability of these strategies.

This paper presents an in-depth investigation into the instantiation of an innovation system, identified as a balanced triple-helix system, which enabled and facilitated the design and decision-making process for a radical product innovation. Moreover, this paper describes the deployment of a “cluster” of process innovations that flowed throughout the project’s lifecycle and across the project supply chain. This was seen as a key factor in ensuring the successful delivery of the project.

The purpose of this paper is to develop an intelligent system for fashion style selection for non-standard female body shapes.

With the goal of creating natural aesthetic relationship between the body shape and the shape of clothing, garments designed for the upper and lower body are combined to fit different female body shapes, which are classified as V, A, H and O-shapes. The proposed intelligent system combines genetic algorithm (GA) with a neural network classifier, which is trained using the particle swarm optimization (PSO). The former, called genetic search, is used to find the optimal design parameters corresponding to a best fit for the desired target, while the task of the latter, called neural classification, is to evaluate fitness (goodness) of each evolved new fashion style.

The experimental results are fashion styling recommendations for the four female body shapes, drawn from 260 possible combinations, based on variations from 15 attributes. These results are considered to be a strong indication of the potential benefits of the application of intelligent systems to fashion styling.

The proposed intelligent system combines the effective searching capabilities of two approaches. The first approach uses the GA for identifying best fits to the target shape of the body in the solution space. The second is the PSO for finding optimal (with respect to training mean-squared error) weight and threshold parameters of the neural classifier, which is able to evaluate the fitness of successively evolved fashion styles.

The purpose of this paper is to present a fresh approach to stimulate individual creativity. It introduces a mathematical representation for creative ideas, six creativity operators and methods of matrix-algebra to evaluate, improve and stimulate creative ideas. Creativity begins with ideas to resolve a problem or tackle an opportunity. By definition, a creative idea must be simultaneously novel and useful. To inject analytic rigor into these concepts of creative ideas, the author introduces a feature-attribute matrix-construct to represent ideas, creativity operators that use ideas as operands and methods of matrix algebra. It is demonstrated that it is now possible to analytically and quantitatively evaluate the intensity of the variables that make an idea more, equal or less, creative than another. The six creativity operators are illustrated with detailed multi-disciplinary real-world examples. The mathematics and working principles of each creativity operator are discussed.

The unit of analysis is ideas, not theory. Ideas are man-made artifacts. They are represented by an original feature-attribute matrix construct. Using matrix algebra, idea matrices can be manipulated to improve their creative intensity, which are now quantitatively measurable. Unlike atoms and cute rabbits, creative ideas, do not occur in nature. Only people can conceive and develop creative ideas for embodiment in physical, non-physical forms, or in a mix of both. For example, as widgets, abstract theorems, business processes, symphonies, organization structures, and so on. The feature-attribute matrix construct is used to represent novelty and usefulness. The multiplicative product of these two matrices forms the creativity matrix. Six creativity operators and matrix algebra are introduced to stimulate and measure creative ideas. Creativity operators use idea matrices as operands. Uses of the six operators are demonstrated using multi-disciplinary real-world examples. Metrics for novelty, usefulness and creativity are in ratio scales, grounded on the Weber–Fechner Law. This law is about persons’ ability to discern differences in the intensity of stimuli.

Ideas are represented using feature-attribute matrices. This construct is used to represent novel, useful and creative ideas with more clarity and precision than before. Using matrices, it is shown how to unambiguously and clearly represent creative ideas endowed with novelty and usefulness. It is shown that using matrix algebra, on idea matrices, makes it possible to analyze multi-disciplinary, real-world cases of creative ideas, with clarity and discriminatory power, to uncover insights about novelty and usefulness. Idea-matrices and the methods of matrix algebra have strong explanatory and predictive power. Using of matrix algebra and eigenvalue analyses, of idea-matrices, it is demonstrated how to quantitatively rank ideas, features and attributes of creative ideas. Matrix methods operationalize and quantitatively measure creativity, novelty and usefulness. The specific elementary variables that characterize creativity, novelty and usefulness factors, can now be quantitatively ranked. Creativity, novelty and usefulness factors are not considered as monolithic, irreducible factors, vague “lumpy” qualitative factors, but as explicit sets of elementary, specific and measurable variables in ratio scales. This significantly improves the acuity and discriminatory power in the analyses of creative ideas. The feature-attribute matrix approach and its matrix operators are conceptually consistent and complementary with key extant theories engineering design and creativity.

First to define and specify ideas as feature-attribute matrices. It is demonstrated that creative ideas, novel ideas and useful ideas can be analytically and unambiguously specified and measured for creativity. It is significant that verbose qualitative narratives will no longer be the exclusive means to specify creative ideas. Rather, qualitative narratives will be used to complement the matrix specifications of creative ideas. First to specify six creativity operators enabling matrix algebra to operate on idea-matrices as operands to generate new ideas. This capability informs and guides a person’s intuition. The myth and dependency, on non-repeatable or non-reproducible serendipity, flashes of “eureka” moments or divine inspiration, can now be vacated. Though their existence cannot be ruled out. First to specify matrix algebra and eigen-value methods of quantitative analyses of feature-attribute matrices to rank the importance of elementary variables that characterize factors of novelty, usefulness and creativity. Use of verbose qualitative narratives of novelty, usefulness and creativity as monolithic “lumpy” factors can now be vacated. Such lumpy narratives risk being ambiguous, imprecise, unreliable and non-reproducible, Analytic and quantitative methods are more reliable and consistent. First to define and specify a method of “attacking the negatives” to systematically pinpoint the improvements of an idea’s novelty, usefulness and creativity. This procedure informs and methodically guides the improvements of deficient ideas.

Based on the experiences of those delivering the dissertation module on a level 6 BSc sport top‐up year, where students progress from many further education colleges and higher education institutions, from differing foundation degrees, it was observed that there was a variable comprehension of research methods by the progressing students. It was felt that this lack of knowledge and confidence with respect to research methods had a negative impact on their ability to undertake research and to produce scientific reports for the dissertation. This paper aims to investigate this issue.

After investigating the levels of confidence of FdSc sport science students and lecturers with respect to their research methods knowledge and understanding, a research methods teaching toolkit was developed using sport‐specific examples and activities to increase the amount of experiential learning.

The paper finds that in the design and construction of this initial toolkit it has become apparent that there are a vast number of approaches that can be taken to encourage student engagement with research methods within a sport and exercise science discipline.

As the development stage of the toolkit is completed the authors aim to evaluate the toolkit during the next academic year, assessing students' progress by comparison to a matched control group. This will be supplemented by lecturers' evaluation in order to refine the toolkit and make it available in varying formats to all institutions within University of Plymouth Colleges and beyond.

This paper provides information on the development stage of a toolkit aimed at supporting the research methods of sport science undergraduates and lecturers.

Built environment encounters substantial risks and challenges in its evolution towards sustainable development. International businesses and multinational engineering organisations face global connectivity challenges between business units, especially during the outbreak of the novel coronavirus pandemic (COVID-19), which has profoundly disrupted the construction industry throughout the world. That raises the need to manage global connectivity as a main strategic goal of multinational architecture, engineering and construction (AEC) organisations. This study aims to develop a strategic framework managing challenges of integrating lean construction (LC) and integrated project delivery (IPD) on construction megaprojects (CMPs) towards global integrated delivery (GID) transformative initiatives in multinational AEC organisations.

“Mixed research methods” involving a two-stage quantitative and qualitative research approach is adopted. The qualitative research methodology consists of a literature review to assess challenges to integrate LeanIPD&GID on CMPs. There is an assessment of conceptualisation of LeanIPD&GID and GID strategy placements, development of LeanIPD&GID integration framework and future of work (FOW) global initiatives with multiple validations. The analysis involved semi-structured interviews and focus group techniques. Stage 2 consisted of an empirical questionnaire survey that shaped the foundation of analysis and findings of 190 respondents from 23 countries with an extensive cosmopolitan experience of megaprojects in construction. The survey examined a set of 20 challenges to integrate LeanIPD&GID on CMPs resulting from a detailed analysis of extant literature after validation. Descriptive and inferential statistical tests were exploited for data analysis and percentage score analysis.

The research conceptualised LeanIPD&GID principles, proposed GID strategy placements, a framework for managing challenges of LeanIPD&GID transformative initiatives, FOW global initiatives and key performance indicators (KPIs). It concluded that the most significant challenges to integrate of LeanIPD&GID on CMPs are “lack of governmental incentives, policies, regulations or legal frameworks”, “lack of client’s awareness and IPD experience amongst key stakeholders”, “lack of organisation’s senior-management and client’s commitment to IPD approaches”, “resistance of industry to change from traditional procurement to IPD” and “lack of integrated synergies between LC, IPD working towards LeanIPD&GID”. Awareness of building information modelling (BIM) in the Middle East and North Africa (MENA) region is higher than LC, and LC awareness is higher than IPD knowledge. While BIM adoption in the MENA region is higher than LC, LC is still taking its first steps, and IPD has little implementation. LeanBIM is slightly integrated, while LeanIPD integration is almost not present.

The research findings, conclusions and recommendations provide a proposed framework for implementation, KPIs and GID strategy placements for LeanIPD&GID transformative initiatives to integrate LeanIPD&GID on CMPs and FOW global initiatives. This will allow project key stakeholders to place emphasis on managing LeanIPD&GID challenges identified in this research and commence GID strategies. The study has provided effective practical strategies for enhancing integration of LeanIPD&GID transformative initiatives on CMPs.