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This paper aims to explore the effect of sustained high inflation on public procurement participation in the European Union, both in terms of the average number of bids submitted and in the proportion of bids by small- and medium-sized enterprises (SMEs) out of all submitted bids.

Regression modelling, using contract award notices in the Tender Electronics Daily database between 2018 and 2022, at quarterly intervals.

Each inflation point increase is associated with a decline in the average number of offers received per tender by 0.43%. A more marked reduction of 8.6% in the average number of offers and a decrease in 3.4 percentage points in the SME participation rate are observed for firms operating in sectors that experienced very high levels of inflation (>20% year-on-year rate of change), compared with a situation of low inflation (0–5%).

Claims about difficulties in delivering public contracts for the set price should be taken with a grain of salt, unless businesses operate in sectors experiencing very high inflation levels. Measures to foster competition could also reduce price pressures.

To the best of the authors’ knowledge, this is the first study to quantitatively assess the association between high inflation and public procurement participation. Two methodological novelties are introduced: the operationalisation of sectoral-level inflation down to two-digit NACE codes, based mainly on producer prices; and a matching between two-digit NACE codes for inflation and the common procurement vocabulary codes to classify calls to bid for public contracts by economic activity.

This opening chapter introduces key debates in relation to informality in policymaking, laying the theoretical and conceptual groundwork for the individual empirical chapters, beginning with a provocation for how informality can alternatively be understood. Through illustrating where gaps in understanding within current literature exist for how informality acquires meaning, and the physical and material relevance for how it manifests across contexts, this chapter introduces the three thematic clusters that thread through the book’s chapters: boundaries, knowledge mastery and networks. In doing so, it briefly positions each chapter in relation to these flexible and overlapping categories, drawing attention to how each chapter presents a different understanding of informality. Key to this chapter is our contention that while informality escapes definition, without binary or fixed conceptualisations of this concept we are better able to take in its fluidity and envisage how it is interwoven in everyday policy work and its human and non-human enactment. Underpinning this contention is a key contribution of this work, a proposition for a re-conceptualising of informality and formality as in|formality. Methodologically, this chapter argues that informality is better ‘shown’ than ‘told’ – and that this can be achieved through interpretive and socio-material approaches woven through disciplines that foreground narrative, ethnographic and creative approaches to research.

Given the complexity and increasing interdependence of supply chain networks, a broader perspective beyond a simple binary relationship is needed to analyse the impact of supply chain networks on firms. Based on social network theory, this study aims to explore the relationship between firms’ network position in the supply chain network and digital transformation, as well as the moderating effects of structural holes and network partners’ digitalisation.

This study analyses a sample of Chinese A-share companies listed on the Shanghai and Shenzhen Stock Exchanges for the period 2011–2020 using regression analysis to test hypothesised relationships.

A firm’s centrality in the supply chain network is positively related to its digital transformation, and that the firm’s structural holes and the level of network partners’ digitalisation can both strengthen the positive influence of network centrality on digital transformation. Moreover, the heterogeneity analysis reveals that the positive effect of firms’ network centrality on digital transformation is more pronounced in non-SOEs and upstream firms.

In the pursuit of digital transformation, firms should recognise the significance of their position in the supply chain network and enhance their capability for information and resource acquisition by proactively strengthening their business cooperation with other network members. Moreover, firms should emphasise the value of open networks and their partners in supply chain networks.

This study applies social network theory to investigate the role of a firm’s external supply chain network in its digital transformation, clarifying the context and boundaries in which a firm’s position in the supply chain network influences digital transformation. The results extend the research and theoretical perspective on digital transformation and the consequences of supply chain networks.

The study's objectives are to conduct a comprehensive review of existing knowledge, thoroughly understand the present state of green finance, identify emerging research trends, perform content analysis and offer valuable guidance for advancing this field.

Data has been collected by selecting highly indexed databases, Scopus and Web of Science. These databases are well-known repositories of academic papers, journals and other scholarly publications related to various fields of study. This research uses the PRISMA methodology for conducting a structured literature review and employs a bibliometric approach to summarize the findings of the previous studies. “R” studio and Biblioshiny are used to clean the data and visualize the results. The TCCM framework is utilized to propose potential avenues for future research in the domain of green finance.

The research uncovers the potential areas in the domain of green finance for future work, encompassing green bonds, the green economy, connectivity, forces, constraints and sustainable development. Furthermore, this process enhances the theoretical underpinnings of scholarly investigations within the discipline by succinctly synthesizing and evaluating preexisting literature. This contribution could facilitate more informed and focused research endeavors in green finance.

The research findings have practical implications for researchers, practitioners, regulators, legislators, issuers and investors involved in green finance. The results can take initiatives to improve practices related to issuing and pricing green financial products and enhance the understanding of interconnectedness within the field.

This ground-breaking research sheds light on various emerging areas by taking a new approach, including the most widely read articles, authors and journals and the broader conceptual and intellectual framework. That includes finding and expanding original research streams, summarizing the most seminal works, and suggesting new research pathways.

Productivity is often cited as a key barrier to the adoption of metal laser-based powder bed fusion (ML-PBF) technology for mass production. Newer generations of this technology work to overcome this by introducing more lasers or dramatically different processing techniques. Current generation ML-PBF machines are typically not capable of taking on additional hardware to maximise productivity due to inherent design limitations. Thus, any increases to be found in this generation of machines need to be implemented through design or adjusting how the machine currently processes the material. The purpose of this paper is to identify the most beneficial existing methodologies for the optimisation of productivity in existing ML-PBF equipment so that current users have a framework upon which they can improve their processes.

The review method used here is the preferred reporting items for systematic review and meta-analysis (PRISMA). This is complemented by using an artificial intelligence-assisted literature review tool known as Elicit. Scopus, WEEE, Web of Science and Semantic Scholar databases were searched for articles using specific keywords and Boolean operators.

The PRIMSA and Elicit processes resulted in 51 papers that met the criteria. Of these, 24 indicated that by using a design of experiment approach, processing parameters could be created that would increase productivity. The other themes identified include scan strategy (11), surface alteration (11), changing of layer heights (17), artificial neural networks (3) and altering of the material (5). Due to the nature of the studies, quantifying the effect of these themes on productivity was not always possible. However, studies citing altering layer heights and processing parameters indicated the greatest quantifiable increase in productivity with values between 10% and 252% cited. The literature, though not always explicit, depicts several avenues for the improvement of productivity for current-generation ML-PBF machines.

This systematic literature review provides trends and themes that aim to influence and support future research directions for maximising the productivity of the ML-PBF machines.

Achieving sustainable construction is immensely challenging in developing economies due to their inadequate technical support system(s) (TSS). Hence, this article develops a TSS framework for sustainable construction indicators for Zimbabwe, a developing country.

A post-positivist philosophical stance and deductive reasoning were adopted to test pertinent theory. Construction professionals in consultancy, construction companies, government bodies and academic institutions participated in an online questionnaire survey. Primary data was analysed using a reliability test, Shapiro Wilks test, Kruskal–Wallis H test, mean score ranking, normalisation value, factor analysis and fuzzy synthetic evaluation (FSE).

FSE revealed a framework with six critical technical support subgroups, in order of importance viz: innovation for construction sustainability; adequate sustainability expenditure and skills training support; adequate project economic assessment and governance support; adequate circularity and environmental technical support; climate change literacy and supplier assessment support; and adequate decent work support. Existing sustainable construction initiatives can be buttressed by strengthening the six identified TSS through related policy initiatives.

The framework developed constitutes an innovative TSS for Zimbabwe to achieve sustainable construction.