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There is a clear gap in the literature regarding the factors that determine social conductivity (extent of interactions) in project relationships. This study aims to use social capital theory to answer the research question – What factors determine social conductivity in project relationships?

In the study, the authors use fuzzy synthetic evaluation based on the findings from a survey of 203 project practitioners to quantify the impacts of three principal components of factors determining social conductivity in project relationships.

The study findings reveal the structural, relational and cognitive dimensions of project social capital are all significant (impact levels exceeding 3.50) for determining social conductivity in project relationships. However, the study’s main finding reveals – issues relating to the cognitive dimension of project social capital are the most critical factors determining social conductivity in project relationships (a criticality index of 4.326).

This study provides evidence of varieties of ways social capital can boost the conductivity of project relationships.

The key contributions of this study are linked to the manner in which project social capital determines social conductivity in project relationships. The findings add to previous research by extending the dimensions of the factors that increase social conductivity from relational project social capital to include two new dimensions (the cognitive and structural dimensions of project social capital).

The realization that concurrent engineering can be adopted in construction has led to various efforts to develop appropriate tools and techniques for its implementation in the industry. This paper discusses the role of client requirements processing in implementing concurrent engineering in construction. Client requirements processing refers to the definition, analysis, and translation of client requirements into solution‐neutral specifications for design. It is essential in maintaining focus on the client, and provides for the effective consideration, resolution and prioritization of the various perspectives within the client body. It also facilitates collaborative teamwork, compliance checking at every stage of the design and construction process, and the traceability of design decisions to explicit and implicit client requirements. The paper concludes with a description of a model for processing clients' requirements in construction, and an example of its practical application.

Studies have suggested that entrepreneurship is a key mechanism for rejuvenating and facilitating economic growth in deprived areas. To provide further understanding of the persistently low entrepreneurial intentions found in deprived areas this chapter identifies key mechanisms and theoretical frameworks that link the formation of appropriate human capital to the prevailing environment, and that influences may flow in both directions. This contributes to the existing literature to provide a fuller understanding of interest to policy-makers of why past interventions have struggled to boost entrepreneurial intentions and where new interventions may be most effective in generating more positive entrepreneurial intentions in deprived areas.

The literature lacks a single and universally accepted definition of major and megaprojects: usually, these projects are described as projects with a budget above $1 billion and a high level of innovation, complexity, and uniqueness both in terms of physical infrastructure and stakeholder network. Moreover, they often provide fewer benefits than what were originally expected and are affected by delays and cost overruns. Despite this techno-economic magnitude, it is still extremely hard to gather lessons learned from these projects in a systematic way. The purpose of this paper is to present an innovative methodology based on benchmarking to investigate good and bad practices and learn from a portfolio of unique megaprojects.

The methodology combines quantitative and qualitative cross-comparison of case studies and statistical analysis into an iterative process.

Indeed, benchmarking offers significant potential to identify good and bad practices and improve the performance of project selection, planning, and delivery.

The methodology is exemplified in this paper using the case of Nuclear Decommissioning Projects and Programmes (NDPs).

Indeed, due to their characteristics, NDPs can be addressed as megaprojects, and are a relevant example for the application of the methodology presented here that collects and investigates the characteristics that mostly impact the performance of (mega)projects, through a continuous learning process.

The purpose of this paper is to propose a decision support framework that can be used by decision-makers to identify the most convenient disruption analysis (DA) methods for megaprojects and their stakeholders.

The framework was initially developed by conducting a comprehensive literature review to obtain extensive knowledge about disruption management and megaprojects. Focus group discussion (FGD) sessions with the participation of the construction practitioners were then organized to validate and strengthen the findings of the literature review. Consequently, 17 selection factors were identified and categorized as requirement, ability and outcome. Lastly, the most convenient DA methods for megaprojects were identified by performing integrated fuzzy analytical hierarchy process (AHP) and fuzzy technique for order of preference by similarity to ideal solution (TOPSIS) analysis. Additionally, consistency analysis was also conducted to verify the reliability of the results.

The results revealed that the measured mile method is the most appropriate DA method for megaprojects. In case the measured mile method cannot be adopted due to various technical and contractual reasons, the decision-makers are proposed to consider program analysis, work or trade sampling, earned value analysis and control chart method, respectively. Second, the selection factors such as “Comprehensible analysis procedure,” “Existing knowledge and experience about a particular DA method,” “Ability to resolve greater number of disruption events,” “Ability to resolve complex disruption events,” “Ability to exclude factors that are not under the owner's responsibility” and “General acceptance by practitioners, courts, and arbitration, etc.” were given the top priority by the experts, highlighting the critical aspects of the DA methods.

Disruption claims in megaprojects are very critical for the contractors to compensate for the losses stemming from disruption events. Although the effective use of DA methods maximizes the accuracy and reliability of disruption claims, decision-makers can barely implement these methods adequately since past studies neglect to present extensive knowledge about the most convenient DA methods for megaprojects. Thus, developing a decision support framework for the selection of DA methods, this study is the earliest attempt that examines the mechanisms and inherent differences of DA methods. Additionally, owing to the robustness and versatility of this research approach, the research approach could be replicated also for future studies focusing on other project-based industries since disruption is also a challenging issue for many other industries.

Management thinking has seen organisations group product development activities in a number of ways in the quest to improve performance. The implementation of multi‐disciplinary teams has been recognised as a means of rapidly improving the way product development activities are managed. However, such an approach is not without its ills. Moreover, Henderson's research (Henderson, R., “Managing innovation in the information age”, Harvard Business Review, January, 1994, Reprint no. 94105) indicates that what governs product development success is the ability of the company to overcome the boundaries of any organisational grouping, rather than the type of organisation structure adopted. This research seeks to corroborate Henderson's propositions in a number of different industrial settings. Social network analysis helped embody the theory into a specification for a model to visualise and manipulate the informal organisation and the on‐going research activities further developed the specification into a working model that has been trialed in a number of different industrial settings. This paper sets the research context and presents the results thus far, both in the context of knowledge from academic research and practical application of the model. The working model has been able to manipulate the informal organisation by enabling visualisation of “core knowledge communities”, generating discussion, and supplying focus for individuals and teams to manage relationships more effectively and hence improve product development performance. Implications for further use of the model are reported, together with its potential for improving performance in organisational areas external to product development.

This article explores the use of informal socio-cultural practices to mitigate formal institutional voids in a qualitative study of informal self-employment in Bulawayo in Zimbabwe. Informal socio-cultural values and practices such as ubuntu and indaba were observed to be making meaningful contribution to business and lives. Development of formal institutions as a consequence was not observed though. The article proposes that economic development efforts might best serve communities in sub-Saharan Africa by facilitating institutional development that converges with local socio-culturally informed practices rather than focus on attempts to absorb informal work into a homogenously understood formal institutional system.

The Sustainable Development Goal 12 (SDG 12) that aims at ensuring sustainable consumption and production patterns is dependent on efficient and effective transport infrastructure. But many new transport infrastructure projects are delayed due to complex conflicts between multiple stakeholders with different stakes. This chapter illustrates how a multi-stakeholder participation process based on systems thinking can be used to generate a shared mental model of stakeholders in conflict. Using the systems thinking and modelling methodology, the complex problem situation is first structured by identifying and analysing the stakeholders. Then a participative approach is employed to develop a systems model that captures the underlying structure responsible for the problem situation. Finally, three strategic interventions are formulated by the stakeholders to improve the system behaviour in the long term. In this chapter, both quantitative and qualitative data were collected using structured interviews, focus groups and secondary sources. Using a New Zealand transport infrastructure project, the chapter shows that effective multi-stakeholder participation, capable of leading to some form of multi-stakeholder partnership, can help reduce delays in a transport infrastructure project. Practically, the chapter provides a framework that can reach an accommodation between conflicting stakeholders. Overall, this chapter contributes New Zealand–based empirical research to the literature on multi-stakeholder participation for achieving SDG 12 within the context of Agenda 2030.

The purpose of this paper is to present a qualitative research method using oral history interview data that may advance new types of methodological inquiry in management and organisation history research.

The method, the authors present, combines matrix and template analysis using oral histories from unstructured interviews with 31 senior managers in the UK individual personal pensions product market to illuminate how the construction of “matrices” and “templates” can then be compared and contrasted across different time periods, and at different units of analysis, to analyse complex temporal data.

The authors highlight the veracity of a combination of template and matrix analysis for researchers handling management and organisation history data.

Elaborations of new research methodologies suitable for handling historical data remain few and far between. The proposed method offers a new approach for handing temporal textual data.