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The purpose of this paper is to present an approach to support understanding of inter‐organisational systems.

The approach combines two types of graphical snapshots of relevant properties of each organisation, based on concrete data. The first type of snapshot provides a bird's eye view of the network that enables matching partners to form groups based on similarity. The second type of snapshot can be used to compare and contrast the information technology (IT) portfolio of partners to assess the extent to which each portfolio is ready to meet the needs of the inter‐organisational system. The approach has been applied in a case study that analysed E‐CUSTOMS, a large distributed system that connects the customs organisations of a number of member states of the European Union. The approach has been validated by showing the results to experts in the E‐CUSTOMS project, who confirmed the findings.

An approach based on quantifiable and non‐quantifiable data that combines two visualisation techniques was used. The graphical snapshots obtained by applying this approach showed similarities and differences between countries that indicate opportunities and challenges in IT integration.

The approach provides a semi‐automatic method to understand inter‐organisational systems. If in need of successful co‐operation in groups within an inter‐organisational network, this approach will help the expert to ask the right questions.

An understanding of inter‐organisational systems is necessary, as co‐operation in inter‐organisational networks usually requires considerable up‐front investments in IT specific for this co‐operation.

Literature in the entrepreneurial marketing (EM) field continues to flourish with a noted increase in publications in recent years. This study aims to conduct a bibliographic analysis of EM literature, to examine the intellectual landscape of the field and assess scientific productivity and impact.

A total of 1,363 EM papers, extracted from the Web of Science database, were identified between 2005 and 2019. Co-authorship, citation, co-citation and keyword co-occurrence were examined, identifying the most-prominent authors, articles, journals and countries of publication, citation and co-citation. Network maps were created using VOSviewer.

The findings indicate that EM has become a thriving, multidisciplinary field that has reached a point of maturity, where exploration is seemingly a major focus of the field’s expansion. This maturity is mirrored in the evolution of the EM operationalisation – moving from a narrowly defined scope to a far broader and encompassing operationalisation. Distinct schools of thought emerging in the literature have been identified and emerging trends guiding the future growth of the EM field have been discussed. The expansion of the field continues to be assembled on the foundation of a number of seminal papers.

This research offers an updated examination of the EM field, in particular, including a period of recent expansion in the field. The incorporation of network maps offers a visual depiction of the intellectual landscape of the field.

The purpose of this paper is to identify the state of the art on publications related to “Business Marketing” over the past 10 years (2010–2020) and available in the SCOPUS database.

In this research, a bibliometric study on entrepreneurial marketing (EM) was performed. The articles were selected from the SCOPUS database and dated from January 1, 2010 to July 11, 2020.

In total, 124 articles on the area of business management were identified, they are written in English. Through the systematization of these articles, it was found that the majority of the publications and citations about EM are from the year 2020 (378 articles), respectively, with 17 citations. The Journal of Research in Marketing and Entrepreneurship was the most published on the subject and obtained the highest number of citations over the past 10 years. The authors that obtained the highest number of citations were: Jones and Rowley (2011b) with 101 citations and Mort et al. (2012) with 71 citations. It was also possible to identify four clusters: “entrepreneurial orientation”; “customer strategy”; “market orientation” and “innovative entrepreneurship and marketing.”

This paper reinforces the coherence and scientific structure of the current literature. The systematization of the concepts we present can be used by managers to define strategies and policies in EM planning.

This research gives special emphasis to the publications over the past 10 years, related to the management area and focused on the term “Entrepreneurship Marketing,” aiming to identify publication trends. Another innovation from this research is the usage of a single database, for the case SCOPUS. Moreover, the authors also reveal a current agenda with future lines of research in EM, which will serve as a starting point to prepare other studies in this area.

The purpose of this article is to better understand the relevance of value creation in the interconnection amongst entrepreneurship, marketing and innovation by reviewing the literature.

The authors employed a systematic review methodology using the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) protocol to analyse the literature in depth. The articles were selected from the Scopus database and dated from 1987 to 2021. An initial total of 1,158 articles was successively narrowed down to a final list of 123 papers matching the selection criteria. Moreover, content analysis on the sample was performed to explore and analyse whether value creation directly or indirectly appears as a goal or antecedent amongst entrepreneurship, marketing and innovation.

The findings suggest that the literature does not clearly define the topic linkage, and with the authors' results, the authors provide a comprehensive mapping of the contributions to a theoretical framework that synthesises knowledge. Moreover, the authors highlight that the interconnection between marketing and entrepreneurship, i.e. entrepreneurial marketing, requires an innovative approach for satisfying customer needs and creating value. Co-occurrence analysis of the keywords also allowed to identify four clusters that were open to new research streams.

Entrepreneurship, marketing and innovation are recognised research topics in the business and management literature. However, prior research has not provided clear and comprehensive evidence about how these three research topics are linked to each other. This work analyses the hidden relationship amongst them.

This study aims to (1) investigate the association between companies' investment in occupational safety and their financial performance and (2) discuss the importance of occupational safety to overall performance.

Occupational safety is often considered to be a practice that can yield suboptimal return on investment. However, it is not known whether this belief is substantiated by evidence. A mapping review of the eligible research literature (N = 36) regarding firms' investment in occupational safety and their financial performance, published between 1945 and2018, was carried out in the Web of Science database.

By dispelling myths regarding return on investment associated with occupational safety, the findings of this study underscore financial gains firms can obtain by promoting occupational safety measures in their organizations.

These issues are important because they can help policymakers understand the pressures companies face in terms of occupational safety and financial performance sustainability.

From a technological determinist perspective, machine learning (ML) may significantly contribute towards sustainable development. The purpose of this study is to synthesize prior literature on the role of ML in promoting sustainability and to encourage future inquiries.

This study conducts a systematic review of 110 papers that demonstrate the utilization of ML in the context of sustainable development.

ML techniques may play a vital role in enabling sustainable development by leveraging data to uncover patterns and facilitate the prediction of various variables, thereby aiding in decision-making processes. Through the synthesis of findings from prior research, it is evident that ML may help in achieving many of the United Nations’ sustainable development goals.

This study represents one of the initial investigations that conducted a comprehensive examination of the literature concerning ML’s contribution to sustainability. The analysis revealed that the research domain is still in its early stages, indicating a need for further exploration.