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The implementation of monetary policy by the central bank is an ongoing topic of discussion. This paper aims to explore monetary policy transmission shocks in times of uncertainty using the new World uncertainty index (WUI). The authors investigate the impact of crises, wars and pandemic shocks on selected macroeconomic variables.

The authors use unit root tests, structural vector autoregressive model and the Granger causality test according to Toda–Yamamoto with quarterly data over 1999–2022.

The results of this study show that in the short run, there is a unidirectional relationship between the money market rate and WUI, while the relationship between the latter and the money supply (M2) is bidirectional. The short-term effect runs from WUI to inflation. In the long run, the variance decomposition shows that global uncertainty explains around 12% of inflation pressures. The uncertainty caused by special events in the world creates positive shocks on inflation in Tunisia, which decreases the ability of the central bank to control inflation.

The results have implications over necessary and urgent actions to be implemented for a progressive economic recovery but point to a necessary transition to an inflation-targeting regime.

Examining monetary policy under uncertainty is a recent phenomenon. The authors purposely use a novel WUI by Ahir et al. (2022) that is unexploited in literature.

The paper aims to enhance the understanding of robust food supply chains (FSC) by exploring the capabilities of various digital technologies and examining their interactions.

This study finding shows that digital technology enhances the resilience of the FSC by improving visibility, traceability and adaptability. This resilience provides a competitive advantage, ultimately enhancing the overall business performance.

In developing countries, inadequate infrastructure, poor Internet connectivity and diverse stakeholder systems pose challenges to implementing advanced digital solutions in the FSC.

This paper is among the first to investigate the impact of digital technology on FSC resilience, exploring visibility, flexibility and collaboration.

The purpose of this paper is to investigate, from a thorough review of the literature, the role of metaverse-based quality 4.0 (MV-based Q4.0) in achieving manufacturing resilience (MFGRES). Based on a categorization of MV-based Q4.0 enabler technologies and MFGRES antecedents, the paper provides a conceptual framework depicting the relationship between both areas while exploring existing knowledge in current literature.

The paper is structured as a comprehensive systematic literature review (SLR) at the intersection of MV-based Q4.0 and MFGRES fields. From the Scopus database up to 2023, a final sample of 182 papers is selected based on the inclusion/exclusion criteria that shape the knowledge base of the research.

In light of the classification of reviewed papers, the findings show that artificial intelligence is especially well-suited to enhancing MFGRES. Transparency and flexibility are the resilience enablers that gain most from the implementation of MV-based Q4.0. Through analysis and synthesis of the literature, the study reveals the lack of an integrated approach combining both MV-based Q4.0 and MFGRES. This is particularly clear during disruptions.

This study has a significant impact on managers and businesses. It also advances knowledge of the importance of MV-based Q4.0 in achieving MFGRES and gaining its full rewards.

This paper makes significant recommendations for academics, particularly those who are interested in the metaverse concept within MFGRES. The study also helps managers by illuminating a key area to concentrate on for the improvement of MFGRES within their organizations. In light of this, future research directions are suggested.