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In response to multiple disruptions, the purchasing supply management (PSM) function in construction supply chain management (CSCM) has gained prominence due to stakeholder pressures, dynamic market conditions and the need to adhere to complex sustainability, safety and health regulations and standards. However, there is a noticeable absence of empirical research on measuring and mitigating PSM vulnerabilities, especially considering the distinct challenges faced by large engineer-to-order project-oriented manufacturers. To address these issues, the purpose of this study is to develop and test a novel method to assist companies in construction supply chains in assessing and managing risks associated with sustainable procuring and sourcing materials.

Grounded in the literature gaps on construction PSM and a real case supply chain, the research uses the design science research (DSR) approach to develop an integrated method for assessing PSM strategies in this sector. The method integrates three essential purchasing dimensions: supply risks, profit impact and sustainability risks of materials, supported by nine subdimensions. Empirical validation took place within a multinational European construction company based in Denmark.

Findings from the supplier–buyer relationships confirmed that the developed method allows for the identification of the key components that significantly impact supplier–buyer relationships, profitability and sustainability. The research further suggests that construction supply chain managers and purchasing practitioners can use the proposed method to evaluate PSM, thus enabling them to make more informed decisions.

Through the utilization of the proposed artifact, construction companies can take a more proactive approach to address PSM uncertainties, thereby enhancing their competitiveness in dynamic construction supply chains.

The research contributes to bridging the theory and practice, providing valuable assistance for construction companies assessing and managing the PSM and supply risks within global construction value chains. This paper provides original insights for the CSCM, aiding in adopting competitive PSM strategies to improve overall supply chain performance.

Several genealogical databases are now publicly available on the Web. The information stored in such databases is not only of interest for genealogical research but might also be used in broader historical studies. As a case study, this paper aims to explore what a crowdsourced genealogical online database can tell about income inequality in Denmark during the First World War.

The analysis is based on 55,000 family-level records on the payment of local income taxes in a major Danish provincial town (Esbjerg) from a publicly available database on the website of The Esbjerg City Archives combined with official statistics from Statistics Denmark.

Denmark saw a sharp increase in income inequality during the First World War. The analysis shows that the new riches during the First World War in a harbour city such as Esbjerg were not “goulash barons” or stock-market speculators but fishermen. There were no fishermen in the top 1per cent of the income distribution in 1913. In 1917, more than 37 per cent of the family heads in this part of the income distribution were fishermen.

The paper illustrates how large-scale microdata from publicly available genealogical Web databases might be used to gain new insights into broader historical issues.