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This paper aims to systematically review the managerial literature on Industry 4.0 (I4.0) in emerging markets (EMs) through bibliometric analyses to identify incipient research streams and literature gaps and recommend avenues for future research.

This research uses bibliographic coupling analysis (BCA) to obtain a comprehensive view of the intellectual contours within the addressed literature. The primary source utilised is the Web of Science database. A total of 345 peer-reviewed journal articles were retrieved. Complementing BCA, we use social network analysis and the content analysis of articles to study the resulting literature clusters.

The results reveal four thematic clusters: (1) Adoption of I4.0 in EMs; (2) impact of I4.0 on organisational aspects and financial performance of companies and supply chains in EMs; (3) I4.0, lean management and operational performance in EMs and (4) I4.0 and the development of sustainable practices in EMs. We supplement these results with the proposal of different future avenues of research, both general and specific, for each identified cluster.

The current study has certain limitations arising from using the bibliometric method and techniques employed in the analyses.

To the best of the authors’ knowledge, there is no comprehensive literature review article on this subject. This research is deemed valuable for future scholars as it facilitates the identification of research fronts that define the forefront of knowledge, reveals current trends and sets the stage for further exploration of key issues in the field. This, in turn, can offer valuable insights to academics, policymakers and practitioners.

This paper aims to provide a social network‐based model for improving knowledge management in multi‐level supply chains formed by small and medium‐sized enterprises (SMEs).

This approach uses social network analysis techniques to propose and represent a knowledge network for supply chains. Also, an empirical experience from an exploratory case study in the construction sector is presented.

This proposal improves the establishment of inter‐organizational relationships into networks to exchange the knowledge among the companies along the supply chain and create specific knowledge by promoting confidence and motivation.

This proposed model is useful for academics and practitioners in supply chain management to gain a better understanding of knowledge management processes, particularly for the supply chains formed by SMEs.

This paper seeks to provide a social network‐based model for improving knowledge management in multi‐level supply chains formed by small and medium‐sized enterprises (SMEs).

This approach uses social network analysis techniques to propose and represent a knowledge network for supply chains. Empirical experience from an exploratory case study in the construction sector is also presented.

This proposal improves the establishment of inter‐organizational relationships into networks to exchange knowledge among the companies along the supply chain and to create specific knowledge by promoting confidence and motivation.

This proposed model is useful for academics and practitioners in supply chain management to gain a better understanding of knowledge management processes, particularly for supply chains formed by SMEs.

City identity is a distinct form of collective identity based on the perceived uniqueness and meanings of place, rather than group category and membership. A city’s identity is constructed over time through architecture, which involves three sign systems – material, visual, and rhetorical – and multiple institutional actors to communicate the city’s distinctiveness and identity. We compare Barcelona and Boston to examine the identity and meaning created and communicated by different groups of professionals, such as architects, city planners, international guide book writers, and local cultural critics, who perform the semiotic work of ­constructing city identity.