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Evaluating information systems has proven to be a most difficult task. Methodologies of analytical frameworks for evaluating information systems can be placed into four categories:

Blood banking involves the collection of blood from donors and the storage of that blood until it is required for transfusion. It is usual to distinguish, in a blood banking system, between central blood banks whose functions are primarily those of collection and distribution, and hospital blood banks which perform the process of cross‐matching. In order to ensure that the donor's blood will be compatible with that of the recipient, blood is cross‐matched by mixing a sample of the recipient's blood with a sample of stored blood of the same group and subjecting the mixture to certain tests.

Blood cold chain (BCC) represents a system for preserving the blood during its journey from the donor to the ultimate transfusion site. Existing BCCs have many drawbacks related to information transparency and information security. Secured and real-time information sharing in BCC can bring several benefits. The purpose of this paper is to summarise the issues in typical BCCs and to explore the scope of blockchain in the management of BCCs.

Issues in the existing BCCs are identified through a narrative review. To explain the potential of blockchain in mitigating these issues, a blockchain-based traceability solution is demonstrated with respect to a particular BCC scenario. The BCC management system discussed in this study makes use of the Ethereum blockchain’s smart contract feature and internet of things (IoT) technology. The smart contract is written in the solidity programming language and tested and validated using the Remix integrated development environment.

BCCs are concerned with several issues both from technical and non-technical perspectives. Blockchain technology is capable of troubleshooting the issues in the existing BCCs. Combining blockchain and IoT technology enables real-time information sharing among the entities. The demonstration presented in this work depicts how the blockchain-based smart contract can support operations in a typical BCC.

This paper explores the scope of blockchain in BCCs through a demonstration. To get insights into its technical and economical feasibilities, further investigations are needed.

Blockchain-based traceability system presented in this work can be adopted in BCCs to ensure the quality of blood or blood products. Blockchain-based smart contracts can aid the BCCs to achieve a proper balance between blood shortage and outdating.

The popularity of television shows such as CSI:(insert appropriate city here) makes everyone think they are somehow a forensic expert. The portrayal of this kind of subject on radio is of course much more complicated as each observer has an image in their own head rather than in front of their eyes. This chapter seeks to inform The Archers listeners and other interested parties about the Blossom Hill Cottage crime scene examination — what they might expect to have seen from an evidential perspective and how the findings may inform the court as to what really occurred that fateful night. The chapter presents general information about different blood patterns that may be observed at crime scenes such as this and others, what they may (or may not) mean and a discussion about the strengths and limitations of this kind of scientific examination and interpretation. Whilst this can clearly be a serious subject, the intention is to inform and (probably) bust some televisual myths with a light-hearted edge from an Archers fan and fellow Tweetalonger, additionally considering online speculation about other potential evidence.

This study aims to test the efficacy of the awareness of a transformative health service communication intervention targeted to African refugees in Australia, designed to increase their intentions to participate in blood donation and reduce any identified barriers.

Following the intervention launch, a survey was administered to African refugees. The data were analysed with structural equation modelling.

Intervention awareness increases refugees’ blood donation knowledge and intentions. Although it has no direct effect on refugees’ medical mistrust or perceived discrimination, intervention awareness indirectly reduces medical mistrust. The findings, thus, suggest that the intervention was transformative: it directly and indirectly reduced barriers to refugee participation in blood donation services.

Limitations include a relatively small sample size, single-country context and measures that address blood donation intentions versus behaviours.

Addressing health service inequities through intervention awareness, via the mere exposure effect, can facilitate refugees’ health service participation and inclusion.

This study contributes to transformative service research and responds to calls to improve individual and community well-being by testing a transformative intervention targeted towards vulnerable consumers. Not all targeted refugees donated blood, but being encouraged to participate in this health service within the host society can foster their greater inclusion.

The purpose of this paper is to explore the impact of WeChat public platforms (abbreviated as WPP) on blood donation behavior using data from the platforms’ backend and information system.

First, this paper established a time-varying difference-in-difference (DID) model to evaluate the change before and after following the WPP under normal scenarios. The difference-in-difference-in-difference (DDD) method was further used to analyze the heterogeneous effects of gender, age, occupation and education. Second, a logit model was used to examine the impact of WPP on blood donation behavior under emergency scenarios (i.e. COVID-19).

The research shows that following WPP has a positive impact on donation volume. For each donor, the average blood donation volume after following WPP increased by 12.94% compared to before following. The WPP has a greater impact on groups with males, medical staff, middle-aged individuals and those with primary school education. Following WPP also enhanced blood donation behavior in emergency scenarios. During the COVID-19 pandemic, the probability of fans donating blood was 2.6% higher than non-fans, and the average blood donation volume of fans was 7.04% higher than non-fans, which was 5.9% lower than in normal scenarios.

For theory, this paper quantified the impact of WPP on blood donation behavior in normal and emergency scenarios and addressed the research gap surrounding the impact exerted by social media on blood donation behavior. For methodology, the time-varying DID model, DDD model and logit model were applied to the field of blood donation, which expanded the application scenarios. For practice, the findings are of great significance for recruiting blood donors and providing evidence for promotion on WPP.

This research studies a location-allocation problem considering the m/m/m/k queue model in the blood supply chain network. This supply chain includes three levels of suppliers or donors, main blood centers (laboratories for separation, storage and distribution centers) and demand centers (hospitals and private clinics). Moreover, the proposed model is a multi-objective model including minimizing the total cost of the blood supply chain (the cost of unmet demand and inventory spoilage, the cost of transport between collection centers and the main centers of blood), minimizing the waiting time of donors in blood donating mobile centers, and minimizing the establishment of mobile centers in potential places.

Since the problem is multi-objective and NP-Hard, the heuristic algorithm NSGA-II is proposed for Pareto solutions and then the estimation of the parameters of the algorithm is described using the design of experiments. According to the review of the previous research, there are a few pieces of research in the blood supply chain in the field of design queue models and there were few works that tried to use these concepts for designing the blood supply chain networks. Also, in former research, the uncertainty in the number of donors, and also the importance of blood donors has not been considered.

A novel mathematical model guided by the theory of linear programming has been proposed that can help health-care administrators in optimizing the blood supply chain networks.

By building upon solid literature and theory, the current study proposes a novel model for improving the supply chain of blood.

Delivery management of perishable products such as blood in a supply chain is a considerable issue such that the last-mile delivery, which refers to deliver goods to the end user as fast as possible takes into account as one of the most important, expensive and, polluting segments in the entire supply chain. Regardless of economic challenges, the last-mile delivery faces social and environmental barriers to continuing operations while complying with environmental and social standards, therefore incorporating sustainability into last-mile logistic strategy is no longer an option but rather a necessity. Accordingly, the purpose of this paper is to consider a last-mile delivery in a blood supply chain in terms of using appropriate technologies such as drones to assess sustainability.

The authors discuss the impact of drone technology on last-mile delivery and its importance in achieving sustainability. They focus on the effect of using drones on CO₂ emission, costs and social benefits by proposing a multi-objective mathematical model to assess sustainability in the last-mile delivery. A preemptive fuzzy goal programming approach to solve the model and measure the achievement degree of sustainability is conducted by using a numerical example to show the capability and usefulness of the suggested model, solution approach and, impact of drone technology in achieving all three aspects of sustainability.

The findings illustrate the achievement degree of sustainability in the delivery of blood based on locating distribution centers and allocating drones. Moreover, a comparison between drones and conventional vehicles is carried out to show the preference of using drones in reaching sustainability. A sensitivity analysis on aspects of sustainability and specifications of drone technology is conducted for validating the obtained results and distinguishing the most dominant aspect and parameters in enhancing the achievement degree of sustainability.

To the best of the authors’ knowledge, no research has considered the assessment of sustainability in the last-mile delivery of blood supply chain with a focus on drone technology.

Maintaining a safe and available supply of blood requires a mindfully coordinated supply chain (SC) and is fundamental to the effective operation of health systems across the world. This study investigates how blood supply chain (BSC) actors demonstrate collective mindfulness (CM) principles in their operations and how these demonstrations lead to improvements in blood safety and availability (BSA) in different operational contexts.

Six case studies drawn from two contrasting BSCs, the UK and Indonesia, which differ in structure and regulation are investigated in this research. Qualitative data are collected and analysed using template analysis.

The cases reveal how the CM principles are demonstrated in the supply chain context in a range of operational conditions and their impact on BSA. The BSC actors in the more centralised and tightly regulated cases display more behaviours consistent with more of the CM principles over a greater range of operational conditions compared to those in the more decentralised and loosely regulated cases. As such, more improvements in BSA are found in the former compared to the latter cases.

This paper is considered the first to investigate the demonstration of CM principles at the SC as opposed to the single organisational level. It proposes an alternative approach to understanding and evaluating reliability performance using behavioural rather than statistical principles.

Possible asymmetric treatment among family members has long been neglected in the field of family firm research. To fill this gap, the purpose of this study is to shed light on the heterogeneity of treatment of family members in family firms by proposing factors that influence the likelihood of bifurcation bias among “family” members.

Drawing upon social identity theory and the concept of bifurcation bias, the authors theorize that family members working in family firms are not a homogenous entity, but rather a heterogeneous entity contingent on their status and/or position in the family. To provide a comprehensive understanding of heterogeneous treatment among family members, both individual factors and societal factors should be considered.

Blood relatedness of family members is suggested as an important determinant of the likelihood of bifurcation bias among family members. It is also proposed that the impact of blood relatedness is likely influenced by both individual factors (familial proximity and familial tenure) and a societal factor (collectivism).

Theorizing takes a step forward to advance the understanding of interpersonal dynamics in family firms. In particular, this article expands the research boundaries of family business research by taking into account that not all “family” members are treated preferentially. Moreover, this article deepens our understanding of the nature and status of non-blood related family members by unveiling the influence of both individual and societal factors. This article also provides a theoretical foundation for human resource management (HRM) research in family businesses by addressing bifurcation bias among family members.