Big data: Dimensions,evolution, impacts,and challenges

Big data represents a new technology paradigm for data that are generated at high velocity and high volume, and with high variety. Big data is envisioned as a game changer capable of revolutionizing the way businesses operate in many industries. This article introduces an integrated view of big data, traces the evolution of big data over the past 20 years, and discusses data analytics essential for processing various structured and unstructured data. This article illustrates the application of data analytics using merchant review data. The impacts of big data on key business performances are then evaluated. Finally, six technical and managerial challenges are discussed.     

The questions we ask: Opportunities and challenges for using big data analytics to strategically manage human capital resources

Big data analytics have transformed research in many fields, including the business areas of marketing, accounting and finance, and supply chain management. Yet, the discussion surrounding big data analytics in human resource management has primarily focused on job candidate screenings. In this article, we consider how significant strategic human capital questions can be addressed with big data analytics, enabling HR to enhance overall firm performance. We also examine how new data sources that help assess workforce performance in real time can assist in the identification and development of the knowledge stars that contribute to firm performance disproportionately as well as help reinforce firm capabilities. But in order for big data analytics to be successful in the HR field, regulatory and ethical challenges must also be addressed; these include privacy concerns and, in Europe, the General Data Protection Regulation (GDPR). We conclude by discussing how big data analytics can facilitate strategic change within HR and the organization as a whole.     

The Internet of Things (IoT) in retail: Bridging supply and demand

A sales channel serves two primary functions: delivering information and products to customers. Omnichannel retailing allows for the decoupling of these two functions as consumers can learn about products through channels that differ from those used to purchase them. This separation requires a sophisticated inventory and supply chain operation, as well as integration of all customer touchpoints, in order to match fast-moving supply and demand. The Internet of Things (IoT) can play a fundamental role in channel integration because it allows companies to rebalance supply and demand. We classify IoT initiatives on an opportunity map, presenting a strategic framework that distinguishes initiatives by the value they create and by their major area of impact. We justify the adoption of IoT in terms of its enabling capabilities—those immediately realized by deploying IoT sensor data—but its true potential resides in its enhancing capabilities—unanticipated benefits following IoT adoption—at the intersection of supply and demand.