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This study examines the relationships between the sizes of Coop Alleanza 3.0 retail outlets and indicators (in value) of surplus food (SF), real food donation (FD) and potential food waste (FW) from 2013 to 2019.

Retail outlets were grouped by size class and geographic macro-area. The authors adopt a procedure composed of Kendall's tau-b coefficient with ties (ttest) and the coefficient of determination (R²). The authors studied bread, pastries, fruits and vegetables as representative food categories.

Among the hypermarket group (Emilia-Romagna Region and those in group with Apulia Region), the study found the t-test with many high negative relationship and related R² high. Results showed that size significantly influenced the trends of the indicators for the food categories analyzed. This allowed the authors to hypothesize the presence of inefficiencies in these groups.

From a practical point of view, the procedure can provide Coop Alleanza 3.0, with a dashboard to analyze surplus food management (SFM) progress within its retail groups. This can provide a warning signal (WS) to trigger a management control system. If necessary, it can lead to corrective measures, such as internal optimization, by adopting appropriate work procedures. In this sense, the procedure is scalable and transferable at the international middle and micro-scales. This approach facilitates the transition to a retail circular economy transition.

There are many studies explaining the innovation activity determinants. Nowadays, the digitalization of sales, the influence of social media, user-driven innovation (UDI) activity might be considered as one of the crucial sources for the development of new products within the research and development activity. Undertaken research is therefore aimed at determining whether the marketing orientation, i.e. the purchasing behavior of customers, affects the innovation activity of R&D departments that work under the usage of UDI concept.

57 R&D departments operating in Poland participated in the study. Correspondence analysis based on the Burt matrix and Cramer's V correlation coefficients was used for the analysis.

The analysis shows that R&D departments in Poland using marketing research and examining consumer purchasing behavior, positively assess the effects of using the UDI concept in R&D departments. They implement it to create or improve products or services offered on the market, especially in the field of customization, while using information from national research and development units in Poland. The motivation for these activities is mainly to increase the assortment level.

The conducted study covers only R&D departments in Poland, thus it is worth extending the generalization of the results. In terms of future research directions, it's worth to analyze the data from R&D departments in other countries. The results of such studies could be used for comparative analyses. The main limitation of the research is that the research sample was 57 R&D departments of enterprises operating in Poland. Therefore, the research results can't be generalized to all the R&D departments in Poland.

The findings could help researchers and practitioners improve their understanding of the determinants of innovation activity, especially its relationship to marketing orientation and UDI practices.

The research regarding marketing orientation of enterprises and its influence on innovation activity is extremely important due to the general change of the conditions for the functioning of enterprises and building their competitive advantage. Knowledge in this area is still insufficient and research gaps are still being exposed. The article presents the correlation between the marketing orientation and customer behavior within the UDI activity and effects of innovation activity of R&D departments being under investigation.

Technological innovation, digitalisation and the Industry 4.0 revolution radically changed business management and contributed to the achievement of sustainability goals. While many studies analyse technological innovation, and Industry 4.0 in particular, the technical aspects of its contribution/impact on sustainability remains partially analysed, especially in relation to Industry 4.0 enabling technologies. This study investigates the contribution of Industry 4.0 enabling technologies on sustainability in innovative firms.

The sustainability reports of the 50 most innovative companies based on Boston Consulting Group (BCG)'s 2022 raking is analysed through a content analysis. In the reports, enabling technologies are analysed in relation to their contribution to sustainability.

The results shed light on the application of Industry 4.0 enabling technologies in sustainability practices based on the communication in the firms' sustainability reports. The results indicate that enabling technologies support the three pillars of sustainability in different business processes.

The results have theoretical and managerial implications that broaden the study of enabling technologies and sustainability while also suggesting a future research agenda.

This study aims to address the gap in the literature regarding the contribution of Industry 4.0 enabling technologies to sustainability.

First, the key vulnerability factors from the literature are identified. Second, using the vulnerability factors as indicators, a composite index is developed. Last, from the index values, a set of vulnerability knowledge maps, showing the vulnerability hotspots, are prepared.

This study aims to develop a pandemic vulnerability knowledge visualisation index to support the strategic decision-making efforts of authorities.

Ten indicators are identified as vulnerability factors that could significantly impact the virus spread risks. Verifying the identified hotspots against the recorded infected cases and deaths has evidenced the usefulness of the index. Determining and visualising the high-vulnerability locations and communities could help in informed strategic decision-making and responses of the authorities to the pandemic.

The study demonstrates that the developed pandemic vulnerability knowledge visualisation index is particularly appropriate in the context of Australia. Nonetheless, by replicating the methodologic steps of the study, customised versions can be developed for other country contexts.