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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.

This paper aims to introduce, conceptualize and demonstrate a software tool named “Blockchain-Enabled Beer Game” (BEBG) for familiarizing the application of blockchain in inventory management, one of the critical components of supply chain management.

This paper follows a methodology of design-based research and develops a software tool in the form of a role-play simulation game. The proposed game adopts the theme of the traditional beer distribution game to establish a blockchain-enabled scenario for inventory management. A decentralized application (DApp) was prototyped on the Ethereum blockchain to demonstrate the tool.

The proposed software tool is effective in teaching and training the application of blockchain in inventory management. While interacting with BEBG, players witness how each inventory-related transaction gets secured with blockchain. A basic understanding of the fundamentals of blockchain is a prerequisite for using this tool. BEBG is not self-explanatory, and an instructor is essential for assisting the players.

Software tools currently available to familiarize with blockchain technology cannot convey its practical applications. Addressing this gap, BEBG allows the users to experience the application of blockchain in inventory management. Academic institutions, especially business schools, can use this tool to teach the students the practical use of blockchain technology. Industries can adopt BEBG for training the employees. The research community can devise BEBG to infer the impact of blockchain in supply chain management.

Purpose of the study is to further expand insights into how weather impacts attendance at sporting events. With the NFL having only eight home games a year per team, it is more of an event than other North American sports. We explore this in terms of how sensitive fans are to weather, by not only looking at traditional factors, but also other weather variables available through Accuweather. In addition, the authors explore team success, outcome uncertainty and other factors as determinants of demand.

The method includes Tobit model of attendance in terms of percent of capacity in the National Football League. Model includes factors such as outcome uncertainty, team success, etc. but mainly focuses on weather. Weather factors studied include traditional variables such as temperature and precipitation, and also includes cloud cover, barometric pressure, wind speed and humidity. Different model specifications are included to explore results. Key findings allow for differences between games played outdoors versus indoors.

In terms of control variables, team success, new stadiums and stadium age play a significant role in attendance in terms of percentage of capacity. Outcome uncertainty does not appear to be important, and fans desire the opposite when the home team is an underdog. The main results concern the weather. When only traditional weather variables are included, precipitation plays a key role. With further expansion of the weather variables, it appears that cloud cover offers some additional information beyond precipitation. In addition, barometric pressure plays a minor, but statistically significant role as it relates to attendance in terms of capacity.

Including deeper and richer weather data helps to further explain attendance at sporting events. With the NFL, this may be limited by it being such as event due to the scarcity of games in a season. In addition, the weather variables are not truly independent, although they are not as correlated as may be anticipated on the surface. Use of different types of weather variables in models of attendance may help to deepen our understanding of factors influencing consumer decisions. These factors may play larger roles in sports with wider variance in attendance during the season.

The practical implications are that other weather-related variables besides temperature and precipitation may offer insight into consumer decisions related to attendance at sporting events. Cloud cover gives insights into anticipated poor weather in addition to it directly leading to less of a sunny day to be outdoors at an event. Barometric pressure has been shown to influence headaches and joint pain and may also influence consumer decisions to venture out to sporting events.

As data becomes more widely available in general, it's possible to add additional insights into factors influencing various forms of decision-making. In this study, we show that more information on weather can shed insights into consumer decisions as it relates to attending events such as sports. These decisions likely differ based upon whether the event is held outdoors or indoors. With more entertainment choices as substitutes, it is important to identify key factors which influence consumer decisions to help better structure events in the future.

Weather variables beyond temperature and precipitation are included in a Tobit model for NFL attendance using percentage of capacity as the dependent variable. These weather variables are cloud cover, wind speed, humidity, and barometric pressure. Cloud cover and barometric pressure were found to have some significant effects on percentage of capacity. When included, precipitation itself is no longer found to be significant, but precipitation interacted with games played in domes retains statistical significance as there are key differences between games held outdoors versus indoors.

This review has two purposes: (1) to systematically analyse the literature on export competitiveness (EC) and (2) to provide an overview of various determinants and the methodological trends in the subject field, making it possible to develop a roadmap for future researchers.

The systematic literature review (SLR) method was employed in this paper. The authors have covered three decades of research articles published in Scopus listed journals between 1991 and 2020. The determinants of EC are synthesized and widely used theories, and methodologies are identified and classified. The authors have also provided directions for future research.

The key determinants identified are labour and capital productivity, labour costs, exchange and real effective exchange rate (REER), domestic gross domestic product (GDP), trade liberalization and barriers. The findings reveal that EC is now a scientific measure, since the studies in this subject field have moved towards measuring EC and its determinants.

There has been no comprehensive review in this area exploring the theories, context, constructs and methodologies until now. Therefore, this review provides deep insights into the topic and also offers a unified picture of the subject field.

This article details findings on how leaders of deeper learning schools establish, maintain, and propel unique teaching and learning environments. In this case study, the authors present findings from data collected through interviews with 30 leaders of self-proclaimed deeper learning initiatives and site visits to those elementary and secondary schools.

Using a case study approach, the authors collected data from interviews and observations of 30 school leaders.

The study's findings indicate how leaders of schools that engage in deeper learning tend to adhere to three core practices. First, the leaders of deeper learning schools in this study intently listened to the community to ascertain needs and desires; this drove the vision. Second, leaders of deeper learning schools created learning spaces that empowered students and gave them voice, agency, and choice. Third, leaders of deeper learning schools sought to humanize the schooling experience.

This study provides actionable examples of what leaders currently do to engage kids and teachers in deeper learning. These leaders offer insights into specific actions and practices that they espoused to make the schooling experience markedly different.

Previous studies focused on the deeper learning of schools and students. This is one of the first studies to focus on the inteplay between deeper learning and school leaders.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting‐edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Anyone studying the current state of the world's airline industry, especially those trying to predict its long‐term future, should be prepared for an incontrovertible conclusion: they are going to end up very perplexed.

The paper provides strategic insights and practical thinking that have influenced some of the world's leading organizations.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy‐to digest format.

This study seeks to explore the intricate relationship among supply chain transparency, digitalization and idiosyncratic risk, with a specific focus on newly public firms. The objective is to determine whether supply chain transparency effectively mitigates idiosyncratic risk within this context and to understand the potential impact of digitalization on this dynamic interplay.

The study utilizes data from Initial Public Offerings (IPOs) on China’s Growth Enterprise Board (ChiNext) over the last five years, sourced from the CSMAR database and firms’ annual reports. The research covers the period from 2009 to 2021, observing each firm for five years post-IPO. The final sample comprises 2,645 observations from 529 firms. The analysis employs the Hausman test, considering the panel-data structure of the sample and favoring fixed effects over random effects. Additionally, it applies the high-dimensional fixed effects (HDFE) estimator to address unobserved heterogeneity.

The analysis initially uncovered an inverted U-shaped relationship between supply chain transparency and idiosyncratic risk, indicating a delicate equilibrium where detrimental effects diminish and beneficial effects accelerate with increased transparency. Moreover, this inverted U-shaped relationship was notably more pronounced in newly public firms with a heightened level of firm digitalization. This observation implies that firm digitalization amplifies the impact of transparency on a firm’s idiosyncratic risk.

This study distinguishes itself by providing distinctive insights into supply chain transparency and idiosyncratic risk. Initially, we introduce and substantiate an inverted U-shaped correlation between supply chain transparency and idiosyncratic risk, challenging the conventional linear perspective. Secondly, we pioneer the connection between supply chain transparency and idiosyncratic risk, especially for newly public firms, thereby enhancing comprehension of financial implications. Lastly, we pinpoint crucial digital conditions that influence the relationship between supply chain transparency and idiosyncratic risk management, offering a nuanced perspective on the role of technology in risk management.

The purpose of this paper is two fold: educate investors about hedge fund managers' activities prior to the fraud recognition by the authorities and to help investors and other stakeholders in the hedge fund industry identify red flags before fraud is actually committed.

The paper investigates fraud committed by the Bayou Funds, Beacon Hill Asset Management, Lancer Management Group (LMG), Lipper & Company and Maricopa investment fund. The fraud activities took place during 2000 and 2005.

The five cases alone cost the hedge fund investors more than $1.5 billion. Investors may have had a good opportunity for avoiding the irrecoverable costs of the fraud had they carefully vetted the backgrounds of the hedge fund managers and/or continuously monitored the funds activities, especially during turbulent market environments.

This is the first research paper to identify and extensively investigate fraud committed by hedge funds. In spite of the size of the hedge fund industry and relatively substantial level and inevitably recurring fraud, academic journals are to yet address this issue. The paper is of great value to hedge funds and their individual and institutional investors, asset managers, financial advisers and regulators.