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Best value procurement (BVP) has been recognized for some time as offering significant opportunities to advance process excellence in the construction sector. As an innovative approach to strategic procurement, BVP has attracted attention from the New Zealand (NZ) Government. It has similarly been found that the most substantial benefit of this modified approach to procurement is in value creation and innovative organizational processes through identifying “best value.” Yet to date, there is a lack of robust evidence as to how BVP can exactly influence construction innovation. Accordingly, this paper aims to explore how to improve BVP implementation to promote construction innovation and what are the values to be achieved in BVP mega projects from the view of innovation.

Semi-structured interviews with 22 participants, including project managers, procurement specialists, engineers and general managers from three organization types, were conducted to explore BVP implementation in a range of mega construction projects in NZ.

Barriers to BVP implementation and value innovation have been identified in this paper. Data analysis suggested traditional mindset in the procurement process, market constraints, mistrusts and fuzzy definition of BVP are the challenges for BVP implementation; BVP cultivates organizational competition because of diverse collaboration models and value attitudes; and BVP considers more values from the whole supply chain. To promote innovative construction, existing BVP should consider adopting progressive enhancements toward updating procurement guidance, encouraging effective communications, collaborating and promoting changes in stakeholders’ mindset.

Identified barriers to BVP implementation set up a platform for framing guidance, which could provide an effective approach as it enables a better understanding of what BVP means to NZ and what needs to be overcome. Taking this into account, similar small size markets around the world would be able to consider the applicability of BVP for innovative improvements.

This paper provides insights into value concepts in project procurement. It theoretically and practically possesses originality in linking BVP to innovative construction. The study of BVP and its application further reveals the importance of establishing a distinct regulation and fostering organizational competition from value aspects to achieve construction innovation.

This paper examines the impact of managerial philosophy on public participation. Specifically the paper explores the historical development of Boston’s Central Artery/Tunnel project, more commonly known as the Big Dig, with a particular focus on how the two men most closely associated with the conception and construction of the project approached this type of administrative reform. This paper uses the concept single and double loop learning to illuminate how each manager attempted to implement this reform.

Through the significance matrix, this paper aims to investigate and explore the main sustainability factors of mega transportation infrastructure projects. Sydney’s Metro mega transportation infrastructure is used as a case study. Sydney’s Metro was selected because of its sustainability challenges faced because of the areas’ diverse ecological zones. Sydney’s Metro is thus examined as the basis of best practice for the determination of the sustainability factors of transportation infrastructures.

Using the significance matrix as a methodology, this research evaluates the environmental impact assessment and environmental assessment processes, to alleviate the problems of the mega transportation infrastructure.

This research found that a more comprehensive determination is needed to further analyse the sustainability factors of mega transportation infrastructures, use of a significance matrix would further assess the environmental complexities of mega transportation infrastructures and the sustainability factors of mega transportation infrastructures should include a nonlinear and asymmetrical scheme highlighting its components and carefully outlining its integration and consolidation.

Although there is concurrent research into sustainability factors of mega transportation, this paper undertakes a new methodology for such infrastructure. While the significance matrix is not a new concept, it has never been used specifically for mega transportation infrastructure. Subsequently, using the significance matrix as a methodology, this research undertakes such environmental analysis and assessment and thus produces a qualitative risk analysis matrix. The findings from this research will ultimately assist the key stakeholders of mega transportation infrastructures to better plan, monitor and support similar projects.

Megaprojects are known as complex projects that involve high levels of uncertainty. This interpretive study explores and portrays perceived complexity in mega construction projects by lived experiences of project managers.

This study utilises a ground theory approach to analyse data gathered from semi-structured interviews with 18 professionals involved in 11 megaprojects.

Complexity in mega construction projects is defined as a project property that stems from the interaction of project features, uncertain variables/conditions, and managerial actions forming a pattern, which emerges over time, based on the reflections of construction practitioners.

This study defines complexity based on the reflections of the practitioners in the construction industry and uniquely identifies complexity patterns that may have implications for project management, particularly risk management.

The numerous spoil grounds brought about by mega transportation infrastructure projects which can be influenced by the ecological environment. To achieve better management of spoil grounds, this paper aims to assess their comprehensive risk levels and categorize them into different categories based on ecological environmental risks.

Based on analysis of the environmental characteristics of spoil grounds, this paper first comprehensively identified the ecological environmental risk factors and developed a risk assessment index system to quantitatively describe the comprehensive risk levels. Second, this paper proposed a comprehensive model to determine the risk assessment and categorization of spoil ground group in mega projects integrating improved projection pursuit clustering (PPC) method and K-means clustering algorithm. Finally, a case study of a spoil ground group (includes 50 spoil grounds) in a mega infrastructure project in western China is presented to demonstrate and validate the proposed method.

The results show that our proposed comprehensive model can efficiently assess and categorize the spoil grounds in the group based on their comprehensive ecological environmental risk. In addition, during the process of risk assessment and categorization of spoil grounds, it is necessary to distinguish between sensitive factors and nonsensitive factors. The differences between different categories of spoil grounds can be recognized based on nonsensitive factors, and high-risk spoil grounds which need to be focused more on can be identified according to sensitive factors.

This paper develops a comprehensive model of risk assessment and categorization of a group of spoil grounds based on their ecological environmental risks, which can provide a reference for the management of spoil grounds in mega projects.

The purpose of this paper is to understand projectification processes of the global organization, based on the example of the Catholic Church’s activities. The Catholic Church is the oldest and the largest international organisation to be assessed also from the longue durée perspective. The Church as both a large and supranational organisation and a religious community has carried out a lot of social tasks. A part of its activity relating to the Church’s basic mission is carried out in these days in the form of various projects. In this paper, the authors demonstrate that seemingly unchanging structure, such as the Catholic Church, based on a determined hierarchy, strict principles and rules of conduct, is affected by the projectification processes.

The authors chose the method of a single case study. To analyse the projectification processes in the Church, the authors focussed on flagship mega-events of WYD programme, from which the following were selected: Rome (1985), Manila (1995), Sydney (2008), Rio de Janeiro (2013) and Krakow (2016).

The study demonstrates that organisational projectification processes can have a real impact on the strategic changes in the global organisation. Under the influence of significant projects, organisations can change internally and also redefine their way of interacting with the stakeholders. Projectification at the same time is a change and leads to it. The research also shows that projectification of a global organisation can intensify internal learning processes. On the one hand, “projectification agents” transfer project practices to various regions of the world, and, on the other, draw on local practices. Therefore, the projectification process is not simply transplanting the project “virus” into new places, but also a process of change and adaptation to the stimuli flowing from the environment.

The particularities, the distinctiveness of the projects of the Catholic Church can be an inspiration for others realizing projects. The experience of the Catholic Church in the implementation of WYD can be valuable for organisations implementing other projects that require involvement and activation of many, diverse stakeholders, for example, charitable projects or the so-called community engagement projects implemented by large international organisations, such as the World Bank, UNICEF, the UN, the Red Cross or humanitarian projects organised by NGOs in different parts of the world.

Megaprojects have large impact on the environment and stakeholders should take collective action to ensure that these projects are developed in a socially responsible manner. Hitherto, it is not known whether group and subjective norms and social identity could compel stakeholders to take socially responsible collective actions in megaprojects. The aim of this study is to design and test a model to boost stakeholders' intention to take socially responsible collective action in the context of mega water transfer projects in China.

A quasi-experimental causal research design was adopted to establish cause–effect relationships among the dependent variable (we-intention) and independent variables (subjective norms, group norms, social identity and desire). This study adopts the belief–desire–intention model and social influence theory to empirically investigate how to boost the stakeholders' intention to participate in socially responsible collective action. An online questionnaire survey was conducted and data was collected from 365 respondents who were involved in mega water transfer projects in China. The partial least squares structural equation modeling technique was employed to analyze the data.

The results from partial least squares analyses indicate that the presence of subjective norms, group norms and social identity (collectively known as social influence process) could increase stakeholders' intention to take socially responsible collective action. In addition, the desire to be socially responsible also boosts stakeholders' intention to take collective action. Desire partially mediates the relationship between social influence process and intention to take socially responsible collective action.

This study adds to existing knowledge by discovering social influence process as an antecedent to taking socially responsible collective action in megaprojects. Strong group norms and subjective norms could propel stakeholders to be more socially responsible. The study also adds to knowledge by discovering that stakeholders' desire to fulfill social responsibility also leads them to take concrete actions. Implications and recommendations are provided on how to manipulate different types of social influence processes to facilitate stakeholders to adopt socially responsible collective action in the process of managing megaprojects.

This paper examines the current tendencies associated with transnational mining capital in the context of the current period of neoliberal globalization dominated by transnational corporations, and examines the usefulness of the category accumulation by dispossession, Harvey’s adapted version of Marx’s original accumulation. After a review of the original concept by Marx an evaluation of Harvey’s concept is presented. The current state of affairs in the mining industry is examined, in particular, considering the present level of large scale mining or mega-mining. In addition, this paper examines the associated social conflicts addressing the social and environmental impacts, which have resulted from these recent tendencies, not to mention the problems of increased use of corporate management of social resistance, and repression, on the part of the State, especially with regards to the criminalization of social protest. Moreover, the tendency toward reprimarization in several countries is considered and the degree to which this coincides with ongoing expropriation by the State is addressed, followed by an assessment of the relevance of the concept of accumulation by dispossession in the present day.

The paper covers mega infrastructure construction supply chain (MICSC) in Engineering-Procurement-Construction (EPC) projects, where the frequent occurrence of risk incidents has greatly affected human life. The research aims to establish a risk evaluation index system for MICSC in EPC projects, exploring what risk factors lead to risk incidents and measure the importance and causality of all these risk factors.

The research applies a combination of quantitative and qualitative analysis methodology to process data sequentially. In the first place, risk factors for MICSC in EPC projects are extracted and identified from literature survey and expert interviews. In the second place, an integration model fuzzy Analytic Hierarchy Process (f-AHP) and fuzzy Decision-making Trial and Evaluation Laboratory (f-DEMATEL) is constructed to comprehensively analyze all these risk factors.

12 primary risk factors and 36 secondary risk factors comprise the risk evaluation index system for MICSC in EPC projects from 178 literature and 5 professionals. The results indicate that Political Situation (F1), Social Security (F2) and Management Mode (F8) are critical risk factors, where F1 and F2 are cause factors and F8 is an effect factor.

There are three main contributions of this paper. First and foremost, from the perspective of the research content, no other study has been able to assess risk factors for MICSC in EPC projects, while embedding nine phases of the whole project life cycle and six subjects of stakeholders into a risk evaluation index system. Additionally, from the perspective of research method, a combined model incorporating f-AHP and f-DEMATEL is constructed to avoid the one-sidedness of a single model. Last but not least, from the perspective of practical significance, focusing on the critical risk factors, a series of effective measures are formulated to make appropriate management decisions for nodal enterprises of MICSC, which can improve their risk management capabilities.

Mega construction projects (MCPs), which play an important role in the economy, society and environment of a country, have developed rapidly in recent years. However, due to frequent social conflicts caused by the negative social impact of MCPs, social risk control has become a major challenge. Exploring the relationship between social risk factors and social risk from the perspective of risk evolution and identifying key factors contribute to social risk control; but few studies have paid enough attention to this. Therefore, this study aims to systematically analyze the impact of social risk factors on social risk based on a social risk evolution path.

This study proposed a social risk evolution path for MCPs explaining how social risk occurs and develops with the impact of social risk factors. To further analyze the impact quantitatively, a social risk analysis model combining structural equation model (SEM) with Bayesian network (BN) was developed. SEM was used to verify the relationship in the social risk evolution path. BN was applied to identify key social risk factors and predict the probabilities of social risk, quantitatively. The feasibility of the proposed model was verified by the case of water conservancy projects.

The results show that negative impact on residents’ living standards, public opinion advantage and emergency management ability were key social risk factors through sensitivity analysis. Then, scenario analysis simulated the risk probability results with the impact of different states of these key factors to obtain management strategies.

This study creatively proposes a social risk evolution path describing the dynamic interaction of the social risk and first applies the hybrid SEM–BN method in the social risk analysis for MCPs to explore effective risk control strategies. This study can facilitate the understanding of social risk from the perspective of risk evolution and provide decision-making support for the government coping with social risk in the implementation of MCPs.