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This study aims to focus on building a conceptual closed-loop vaccine supply chain (CLVSC) to decrease vaccine wastage and counterfeit/fake vaccines.

Through a focused literature review, the framework for the CLVSC is described, and the system dynamics (SD) research methodology is used to build a causal loop diagram (CLD) of the proposed model.

In the battle against COVID-19, waste management systems have become overwhelmed, which has created negative environmental and extremely hazardous societal impacts. A key contributing factor is unused vaccine doses, shown as a source for counterfeit/fake vaccines. The findings identify a CLVSC design and transshipment operations to decrease vaccine wastage and the potential for vaccine theft.

This study contributes to establishing a pandemic-specific VSC structure. The proposed model informs the current COVID-19 pandemic as well as potential future pandemics.

A large part of the negative impact of counterfeit/fake vaccines is on human well-being, and this can be avoided with proper CLVSC.

This study develops a novel overarching SD CLD by integrating the epidemic model of disease transmission, VSC and closed-loop structure. This study enhances the policymakers’ understanding of the importance of vaccine waste collection, proper handling and threats to the public, which are born through illicit activities that rely on stolen vaccine doses.

We study the contemporaneous effects of US monetary policy normalization on African stock market using panel data from six African countries.

Daily data from May 1, 2013 to December 31, 2018 were used in order to accommodate the announcement effects since the US monetary policy normalization announcement was made in May 2013, while the rate hike was in December 2015. The study used the FE, RE and PMG models.

The results revealed that US 10-year bond yield and Treasury bill rate shocks negatively affect stock prices in Africa. S$P500 shock positively affects African stock prices.The result revealed that the integration of African financial market to the global financial market is a major source of vulnerability. The finding that US Treasury bill rate is a major depressant of the African stock prices reveals the short-termism of foreign polio inflows into African economies.

We provide inexorably insight into the interplay of financial systems globally. It can be useful for the purposes of generalization in developing economies in the shape of African countries. More so, this study could be replicated in another economic bloc or region with the aim of further exposing the far-reaching spillover effects of the US monetary policy normalization.

The purpose of this paper is to review the food supply chain management (FSCM) in terms of systems and implementations so that observations and lessons from this research could be useful for academia and industrial practitioners in the future.

A systematical and hierarchical framework is proposed in this paper to review the literature. Categorizations and classifications are identified to organize this paper.

This paper reviews total 192 articles related to the data-driven systems for FSCM. Currently, there is a dramatic increase of research papers related to this topic. Looking at the general interests on FSCM, research on this topic can be expected to increase in the future.

This paper only selected limited number of papers which are published in leading journals or with high citations. For simplicity without generality, key findings and observations are significant from this research.

Some ideas from this paper could be expanded into other possible domains so that involved parties are able to be inspired for enriching the FSCM. Future implementations are useful for practitioners to conduct IT-based solutions for FSCM.

As the increasing of digital devices in FSCM, large number of data will be used for decision-makings. Data-driven systems for FSCM will be the future for a more sustainable food supply chain.

This is the first attempt to provide a comprehensive review on FSCM from the view of data-driven IT systems.

In this study, the authors develop knowledge and insights on how the perception of interestingness influences the structure and focus of conversations in entrepreneurial education (EE) research. In particular, the authors elaborate on what is perceived as interesting among different subgroups of EE researchers, and not least, how EE researchers can identify and engage in scholarly conversation within the field.

The study is based on a unique database with web-based responses from 465 EE researchers from around the world. The authors conduct analyses of both open-ended and closed questions. The open-ended questions are analyzed by inductive categorization. The closed questions are subject to factor and cluster analyses.

The findings suggest that EE research is a topic-oriented field, characterized by a strong focus on novel and challenging research issues. In addition, the field is individualistic and fragmented, and the perception of interestingness differs between five subgroups of EE researchers, whose members have a somewhat different perception of interestingness. Accordingly, the authors also find different core conversations going on within the field. Obviously, these conversations tend to be triggered by the field's obsession with novelty and challenging research, but several conversations are related to practically relevant research, as well as methodological and theoretical discussions.

This is the first study to elaborate on the perception of interestingness among EE researchers and the conversations going on within the field. In the study the authors have explored the characteristics of EE research based on the perception of interestingness among the researchers within the field. In this respect, this study contributes insights on how current and aspiring EE researchers can find and build scholarly conversations embedded in passionate interest, while concurrently disseminating and accumulating knowledge on EE together with like-minded peers.