The Impact of Big Data on Supply Chain Resilience: the Moderating Effect of Supply Chain Complexity

Big data represents a new era in data exploration. Less is known on how big data impact on supply chain resilience. This paper explores the relationship between big data and supply chain resilience with considering the mediating role of supply chain visibility and the moderating role of supply chain complexity. Based on data obtained from Chinese manufacturing firms, the analysis shows that there is a direct relationship between big data and supply chain resilience. Big data also enhances supply chain resilience by improving visibility. However, contrary to the hypothesis supply chain complexity moderate the relationship in a negative direction

Machine Learning the Harness Track: A Temporal Investigation of Race History on Prediction

Machine learning techniques have shown their usefulness in accurately predicting greyhound races. Many of the studies within this domain focus on two things; win-only wagers and using a very particular combination of race history. Our study investigates altering these properties and studying the results. In particular we found a race history combination that optimizes our S&C Racing system’s predictions on seven different wager types. From this, S&C Racing posted an impressive 50.44% accuracy in selecting winning wagers with a payout of $609.34 and a betting return of$10.06 per dollar wagered

Any Colour you want as long as its beige?

Review of 'Big Data: A Revolution That Will Transform How We Live, Work, and Think' by Viktor Mayer-Schönberger and Kenneth Cukie

Urban data and city dashboards: Six key issues

This chapter considers the relationship between data and the city by critically examining six key issues with respect city dashboards: epistemology, scope and access, veracity and validity, usability and literacy, use and utility, and ethics. While city dashboards provide useful tools for evaluating and managing urban services, understanding and formulating policy, and creating public knowledge and counter-narratives, our analysis reveals a number of conceptual and practical shortcomings. In order for city dashboards to reach their full potential we advocate a number of related shifts in thinking and praxes and forward an agenda for addressing the issues we highlight. Our analysis is informed by our endeavours in building the Dublin Dashboard

Hadooping the genome: The impact of big data tools on biology

This essay examines the consequences of the so-called ‘big data’ technologies in biomedicine. Analyzing algorithms and data structures used by biologists can provide insight into how biologists perceive and understand their objects of study. As such, I examine some of the most widely used algorithms in genomics: those used for sequence comparison or sequence mapping. These algorithms are derived from the powerful tools for text searching and indexing that have been developed since the 1950s and now play an important role in online search. In biology, sequence comparison algorithms have been used to assemble genomes, process next-generation sequence data, and, most recently, for ‘precision medicine.’ I argue that the predominance of a specific set of text-matching and pattern-finding tools has influenced problem choice in genomics. It allowed genomics to continue to think of genomes as textual objects and to increasingly lock genomics into ‘big data’-driven text-searching methods. Many ‘big data’ methods are designed for finding patterns in human-written texts. However, genomes and other’ omic data are not human-written and are unlikely to be meaningful in the same way

Big Data in Organizations and the Role of Human Resource Management

Big data are changing the way we work. This book conveys a theoretical understanding of big data and the related interactions on a socio-technological level as well as on the organizational level. Big data challenge the human resource department to take a new role. An organization’s new competitive advantage is its employees augmented by big data