COVID-19 is a wicked problem for policy makers internationally as the complexity of the pandemic transcends health, environment, social and economic boundaries. Many countries are focusing on two key responses, namely virus containment and financial measures, but fail to recognise other aspects. The systems approach, however, enables policy makers to design the most effective strategies and reduce the unintended consequences. To achieve fundamental change, it is imperative to firstly identify the “right” interventions (leverage points) and implement additional measures to reduce negative consequences. To do so, a preliminary causal loop diagram of the COVID-19 pandemic was designed to explore its influence on socio-economic systems. In order to transcend the “wait and see” approach, and create an adaptive and resilient system, governments need to consider “deep” leverage points that can be realistically maintained over the long-term and cause a fundamental change, rather than focusing on “shallow” leverage points that are relatively easy to implement but do not result in significant systemic change.

Purpose: – The aim of this study is to explore the current situation in the Russian construction industry and the obstacles, drivers and strategies that affect innovation implementation most significantly. The Russian construction industry is highly conservative and is often criticised for its lack of innovation. Construction firms invest relatively little in innovation adoption, development of new ideas and formal research and development. Design/methodology/approach: – This study utilised an extensive literature review followed by a questionnaire survey incorporating some post hoc interviews with 52 experts from the Russian architecture, engineering and construction industry to identify the most significant drivers, enablers, barriers and strategies related to innovation diffusion in construction. Findings: – Findings indicated that economic and financial difficulties, as well as inappropriate legislation, are the most significant barriers to innovation. Financial incentives, legislative improvements and the promotion of alternative construction procurement methods were viewed as the most critical strategies to improve the current lacklustre rate of innovation diffusion. Originality/value: – While there is anecdotal evidence that the Russian construction industry is lagging in terms of technological advancement, its closed nature means that there is still little reported evidence on what are the main barriers to innovation diffusion in this country. Hence, there is a lack of focus on innovation diffusion rates in different construction sectors, such as building and civil infrastructure and limited consideration on how effectively the research and development sector contributes to innovation.

This paper presents a novel five-stage integrated participatory systems modelling (IPSM) approach that can be used for a range of systems dynamics (SD) applications. The IPSM approach was formulated considering the advantages and disadvantages of existing SD modelling approaches, as well as balancing the competing goals of SD model development efficiency and robustness. A key feature of the IPSM approach is that stakeholders are central to each of the five stages of the modelling process from problem scoping, to scenario analysis and strategy implementation recommendations. Each stage of the IPSM approach was demonstrated through a case study of the innovation diffusion process in the Russian Federation construction industry. This highly complex innovation system could only be sufficiently understood using a SD model that was conceptualised, critiqued, codified, tested and utilised, by the relevant actors within that system (i.e., stakeholders). The IPSM approach facilitated the efficient formulation of the SD model for the case study application. The case study SD model simulation results indicate that sufficient government incentives and the active promotion of strong collaborative linkages between construction companies and universities are two key enablers of innovation development in the Russian Federation construction industry.

Previous research regarding PhD students’ well-being (PhD-WB) has lacked a comprehensive and systemic analysis. This research engages with a systems approach to examine the multiple variables, including feedback mechanisms, which influence PhD-WB over time. The model was developed using a structural analysis method (Cross-impact analysis MICMAC) that informed a causal loop diagram (CLD). The aim was to understand what promotes (drivers) and inhibits (barriers) PhD students’ well-being. The results show that PhD students’ well-being reflects an interplay between university, financial support, students’ mental and physical health, and family/friends. However, the analysis shows that the role of the drivers is dynamic, and they can become barriers in certain circumstances. This insight validates the application of systems thinking to illustrate the complexity of PhD students’ well-being.