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Enormous numbers of people suffer from the effects of disasters and humanitarian crises in Africa, including medical and healthcare emergencies. International response to the 2014–2016 Ebola pandemic in West Africa and COVID 19 pandemic vividly demonstrates the need for efficient and effective logistics and supply chain systems in bringing succor to impacted and vulnerable communities. This paper critically reviews the academic literature on logistics models for sourcing, delivery and distribution of medical and healthcare products for humanitarian emergencies in Africa from 1990 to 2018. The paper suggests areas for further research and proposes an effective logistics model useful for international and national humanitarian organizations as well as public health authorities in Africa and developing areas.

The viewpoint paper draws upon a structured comprehensive and critical review of the academic literature on logistics and supply chain management and a qualitative analysis of the literature in 13 leading academic databases covering over 5,550 articles.

The paper finds significant gaps in the body of logistics and supply chain management research on practical deployable logistics models for sourcing, delivery, and distribution of medical and healthcare products for humanitarian emergencies. The paper suggests a model worthy of consideration by humanitarian and disaster response stakeholders as well as public health authorities in developing countries.

This is a critical literature review paper based on a comprehensive literature research and analysis for the period from 1990 to 2018 from which a viewpoint is formed.

This paper advocates for further research on appropriate models of logistics for the sourcing, delivery and distribution of medical and healthcare products to enhance the basic human rights and dignity of vulnerable people in developing countries.

The paper contributes directly to policy on logistics, humanitarian aid, disaster management, public health and health security policy in the developing world including Africa.

This study aims to analyze the lean supply chain management (LSCM) strategy's role as a mechanism to address technology uncertainty and provide organizations with competitive advantage.

An empirical study was conducted of 276 Spanish focal firms in industrial sectors that occupy an intermediate position in the supply chain to investigate the influence of technology uncertainty on LSCM implementation and the latter's effect on operational performance and competitiveness. A covariance-based structural equation model (CB-SEM) was used to test three hypotheses.

Technological uncertainty encourages progress in the implementation of lean throughout the supply chain and so is a mechanism that not only brings stability to the focal company but also improves its performance and puts it in a better competitive position.

Managers are suggested to consider the strategic integration with supply chain partners and the establishment of long-term relationships based on trust and commitment advocated by LSCM to enhance organizations' capabilities and effectively and flexibly respond to technological changes.

This study focuses on the effects of environmental uncertainty on the supply chain. The past literature has focused on the behavior of individual firms to deal with uncertainty, but this work shifts the level of analysis to the supply chain. Therefore, the strategic change to deal with what is happening in the environment is now switched to the supply chain level.

The purpose of this study is to explore the opportunities provided by information technologies (IT) to improve supply chain processes. It aims to conduct a systematic literature review (SLR) to identify research areas that require further exploration to leverage IT and enhance supply chain performance.

This study employs a systematic literature review methodology to analyse a set of 177 publications, including journal papers, conference papers, periodicals, theses, and books published between 2013 and 2023. Thematic synthesis was chosen as the most appropriate approach to amalgamate the findings obtained from the systematic literature review conducted in the study. This method involves interpreting thematic information and facilitating the development of a comprehensive understanding of the literature being reviewed.

The literature review reveals that certain information technologies, such as the Internet of Things (IoT), Big Data, artificial intelligence (AI), Blockchain, information and communications technology (ICT) and information sharing, offer significant potential for improving supply chain processes. However, the application of these technologies in the field of supply chain is currently under-researched. The findings highlight the need for further exploration of these technologies and their impact on supply chain redesign and enhancement.

This study contributes to the existing body of knowledge by providing a systematic overview of the potential benefits of IT in the context of supply chains. It emphasises the under-researched nature of specific technologies and their potential to support organisations in improving their supply chain processes. The originality of this study lies in its comprehensive analysis of relevant literature and its identification of research gaps that need to be addressed in future studies.

This research aimed to fill several gaps in the tipping literature which has overlooked the server's perspective in identifying and understanding variables that influence a tip amount and therefore where they concentrate their efforts during the service encounter. Furthermore, the extant literature has theorized how or why certain variables influence the tip amount, but these studies fail to capture insight from server's which would supplement the theory and provide a more in-depth understanding of the mechanisms at play.

This study adopts a grounded theory approach using semi-structured one-on-one interviews with tipped restaurant employees who were identified and selected using snowball sampling. Content analysis is employed to code and categorize the data.

The content analysis revealed five categories where servers focus their time and effort to earn tips: service quality, connection, personal factors, expertise and food quality. The server's personality was identified as a variable the tipping literature has largely ignored as a determinant of the tip amount. Server's shift their style of service for groups of eight or more people, and for regular customers, who must dine in the restaurant at least once per week. Lastly, despite the many drawbacks associated with working for tips, servers would not want to replace it with any other method of compensation.

This is the first qualitative study focused on understanding the server's role in the service exchange relationship since McCarty et al. (1990) study. The results provide new insights on the often-studied variables from the tipping literature.