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The purpose of this paper is to provide the foundational economics, both in theory and practice, to describe the current competitive and operational market dynamics of the blood service industry in the United States of America.

The paper applies the dominant firm-competitive fringe model to describe how pricing is determined within the blood service industry, with particular focus on the nonprofit business model. The research also describes the role of government as one of the major determinants of pricing through regulatory demands.

The longstanding, free-market based economic foundations of the blood service industry have proven to be adequate in meeting the blood needs of the United States (US). Though there are clear market inefficiencies associated with the dominant firm model, none of the proposed solutions target the contractual and resulting pricing inefficiencies that persist because of the market structure.

In order to add value to the blood industry professionals, it is imperative to provide the foundational economics driving the current macro-level blood industry of the US.

This paper reviews the evidence presented in the HHS report and challenges its characterization of the state of the market. The recent US Department of Health and Human Services (HHS) report on the blood industry, Adequacy of the National Blood Supply, provides evidence of and acknowledges that the industry has successfully met demand for blood. And yet the tone and takeaway message of the report of the industry is on the verge of collapse.

The approach of this paper is a critical review of the evidence presented in the HHS report as well as other recent analyses of the blood industry.

While acknowledging the successful performance of the industry to date, the HHS report offers hypothetical disaster scenarios and a lack of centralized data as the main causes for concern. These criticisms ignore the satisfactory response of the industry to prior disasters and fail to recognize that centralized information is not necessary for the efficient operation of a decentralized industry.

This paper offers a fresh assessment of a report repeating prior forecasts of doom for an industry which to date has very successfully met the United States' demand for blood.

Given that online search visibility is influenced by various determinants, and that influence may vary across industries, this study aims in investigating the major predictors of online search visibility in the context of blood banks.

To formalize the online visibility, the authors have found theoretical foundations in activity theory, while to quantify online visiblity the authors have used the search engine optimization (SEO) Index, ranking, and a number of visitors. The examined model includes ten hypotheses and was tested on data from 57 blood banks.

Results challenge shallow domain knowledge. The major predictors of online search visibility are Alternative Text Attribute (ALT) text, backlinks, robots, domain authority (DA) and bounce rate (BR). The issues are related to the number of backlinks, social score, and DA. Polarized utilization of SEO techniques is evident.

The methodology can be used to analyze the online search visibility of other industries or similar not-for-profit organizations. Findings in terms of individual predictors can be useful for marketers to better manage online search visibility.

The acute blood donation problems may be to a certain degree level as the information flow between donors and blood banks will be facilitated.

This is the first study to analyze the blood bank context. The results provide invaluable inputs to marketers, managers, and policymakers.

Background: This paper examines the relationship between determinants of blood transfusion sustainability (BTS) that is master production scheduling (MPS) and blood production (BP) of Uganda. The study was founded on four objectives. The study looked at the direct relationship between MPS and the BTS, direct relationship between MPS and BP, direct relationship between BP and BTS. It also assessed how BP mediated the direct relationship between MPS and BTS. The study used a quantitative method.

Methods: A survey questionnaire was administered to collect data from 367 staff of regional blood banks and government university teaching hospital blood banks; and 213 were found to be usable. The main analysis was done using structural equation modeling.

Results: This study found that MPS had a negative and insignificant relationship with the BTS. The study found that relationship between MPS and BP was positive and significant. The study also found that relationship between BP and BTS was positive and significant. The study concluded that the effect of MPS on BTS was fully mediated by BP. It was recommended that blood banks seeking to achieve transfusion sustainability must understand the sector in which they operate. The various stakeholders in the blood supply chain ie blood banks, hospital blood banks, funding agents, ministry of health, must also integrate to enhance the transfusion sustainability. Blood banks performance measures essentially timely delivery was very critical for saving lives of patients in need of blood.

Conclusion: The study has provided a new conceptual framework that investigate the BP mediating effect on the relationship of MPS and BTS, and thus can serve as an incentive for more research to be conducted in this regard of different developing countries. The authors also proposed identifying the effect of other BP factors such as blood donor management and hospital transfusion practices on BTS.

The objective of this study is to mitigate the risks of a blood shortage. The authors designed two simulation studies to identify the superior methodology that can decrease the impact of a massive national donor shortage.

The simulation designs are triggered by the COVID-19 pandemic. The first simulation examines the company’s choice of strategic partners (regionally and nationally), and the second inspects creating a national coordinated effort to organize a pooled blood inventory that would require blood centers to contribute a small percentage of their monthly donations to become a member.

The results indicate that both methods can significantly manage the risk of stockouts regardless of the availability of safety inventory in a blood center; however, although more effective in reducing the number of shortages per month, creating a national blood pool causes the shortages to be recognized earlier than desired.

The authors contribute to the literature by focusing on the potential risk of blood shortage because it directly impacts healthcare, hospitals’ costs and their ability to provide care. Though a handful of researchers have targeted the study of the blood supply chain, there is not any article that is similar to this study.

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.

Blood donation knowledge of healthy young students is crucial to donate blood voluntarily and regularly in long-term. This study aimed to determine the influencing factors on the blood donation knowledge, to identify gaps of blood donation knowledge and reasons for not donating blood among university and college students in Yangon, Myanmar.

Cross-section survey (May 2019) was conducted in students of Yangon Technological University (YTU) and National Management Degree College (NMDC) with the use of quota and convenience sampling method. The questionnaires covered sociodemographic characteristics, blood donation knowledge and reasons for not donating blood.

Total 320 students (129 males and 191 females) with age of 18 to 23 years old participated. Previous blood donation had statistically significant influence on blood donation knowledge scores (ß = 0.396, p < 0.001). Gaps of knowledge between nondonors and blood donors were recorded, especially in universal recipient blood groups, Rh blood groups, blood donation interval, eligibility criteria, transfusion-transmitted infections (TTIs), amount of blood removed in donation, benefits of blood donations and misbelief of infections from blood donation. Top three reasons for not donating blood among nondonors were (1) no opportunity, (2) fear to donate and (3) still underage to donate.

Blood donations programs should extend awareness-raising programs in academic society and population at large. Raising awareness should focus on the knowledge gaps such as donor eligibility, interval of blood donations, TTIs and benefits of donating blood to recipients.

Fingerprints and blood samples are important for the identification of individuals and criminals. The present study aims to identify the predominant fingerprint patterns and the association between the fingerprint patterns and ABO–Rh blood groups in Omani population.

A cross-sectional study was conducted on 200 Omani individuals aged 18 years (104 males and 96 females). The imprints of all right and left-hand fingers were taken, and the types of the fingerprints were determined using a standard protocol. The blood group of all the subjects was recorded. Chi-square test was performed to identify the association between the fingerprint patterns and the ABO and Rh blood groups.

The loop fingerprint pattern was the most common in Omani subjects (49.4%), followed by whorl (44.9%) and arch (5.7%) pattern. A significant association (p < 0.001) was found between gender and fingerprint pattern. The loop was the highest occurring pattern in the females (54.6%), while the whorl was more in males (50.0%). The whorl pattern was the most common in the AB+ and O− groups. The loop was a predominant pattern in the A+, A−, B+, B− and O+ groups. The Chi-square test also revealed a significant correlation between different fingerprint patterns and blood groups of the subjects (p < 0.001).

The present study is an outcome of undergraduate student's research project thesis for the Doctor of Medicine (MD) program. The results of the present study may help in creating a data bank for biometrics, which can be useful for diagnosing associated diseases and also help in identification of individuals.