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作者：Hopp, Wallace J.; Li, Jun; Wang, Guihua
作者单位：University of Michigan System; University of Michigan
摘要：The big data revolution is making vast amounts of information available in all sectors of the economy including health care. One important type of data that is particularly relevant to medicine is observational data from actual practice. In comparison to experimental data from clinical studies, observational data offers much larger sample sizes and much broader coverage of patient variables. Properly combining observational data with experimental data can facilitate precision medicine by enabl...
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作者：Corbett, Charles J.
作者单位：University of California System; University of California Los Angeles
摘要：The rapid growth of big data provides tremendous opportunities for making better decisions, where better can be defined using any combination of economic, environmental, or social metrics. This essay provides a few examples of how the use of big data can precipitate more sustainable decision-making. However, as with any technology, the use of big data on a large scale will have some undesirable consequences. Some of these are foreseeable, while others are entirely unpredictable. This essay hig...
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作者：Swaminathan, Jayashankar M.
作者单位：University of North Carolina; University of North Carolina Chapel Hill
摘要：There has been a significant increase in the scale and scope of humanitarian efforts over the last decade. Humanitarian operations need to berapid, impactful, sustained, and efficient (RISE). Big data offers many opportunities to enable RISE humanitarian operations. In this study, we introduce the role of big data in humanitarian settings and discuss data streams which could be utilized to develop descriptive, prescriptive, and predictive models to significantly impact the lives of people in n...
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作者：Devalkar, Sripad K.; Seshadri, Sridhar; Ghosh, Chitrabhanu; Mathias, Allen
作者单位：Indian School of Business (ISB)
摘要：Agricultural supply chains in the developing world face the daunting task of feeding a growing population in the coming decades. Along with the provision of food, sustaining livelihoods, enhancing nutrition and the ability to cope with rapid changes in the environment and marketplaces are equally important to millions of small farmers. Data science can help in many ways. In this article, we outline the beginnings of data science applications in Indian agriculture. We cover various initiatives ...
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作者：Singhal, Kalyan; Feng, Qi; Ganeshan, Ram; Sanders, Nada R.; Shanthikumar, J. George
作者单位：University System of Maryland; University of Baltimore; Purdue University System; Purdue University; William & Mary; Northeastern University
摘要：Big data has the potential of offering valuable insights into the way organizations function, and it is changing theway organizations make decisions. Nine invited essays provide a wide range of perspectives on the role of big data in customer-driven supply chains, healthcare operations, retail operations, demand planning and manufacturing, environmental and social issues, humanitarian operations, agriculture supply chains, and service operations. Decision makers should have clean, valid, and r...
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作者：Lee, Hau L.
作者单位：Stanford University
摘要：Big data and the related methodologies could have great impacts on operations and supply chain management. Such impacts could be realized through innovations leveraging big data. The innovations can be described as first improving existing processes in operations through better tools and methods; second expanding the value propositions through expansive usage or incorporating data not available in the past; and third allowing companies to create new processes or business models to serve custom...
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作者：Feng, Qi; Shanthikumar, J. George
作者单位：Purdue University System; Purdue University
摘要：We are living in an era in which data is generated in huge volume with high velocity and variety. Big Data and technology are reshaping our life and business. Our research inevitably needs to catch up with these changes. In this short essay, we focus on two aspects of supply chain management, namely, demand management and manufacturing. We feel that, while rapidly growing research on these two areas is contributed by scholars in computer science and engineering, the developments made by produc...
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作者：Guha, Samayita; Kumar, Subodha
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Temple University
摘要：In this day, in the age of big data, consumers leave an easily traceable digital footprint whenever they visit a website online. Firms are interested in capturing the digital footprints of their consumers to understand and predict consumer behavior. This study deals with how big data analytics has been used in the domains of information systems, operations management, and healthcare . We also discuss the future potential of big data applications in these domains (especially in the areas of clo...
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作者：Cohen, Maxime C.
作者单位：New York University
摘要：This study discusses how the tremendous volume of available data collected by firms has been transforming the service industry. The focus is primarily on services in the following sectors: finance/banking, transportation and hospitality, and online platforms (e.g., subscription services, online advertising, and online dating). We report anecdotal evidence borrowed from various collaborations and discussions with executives and data analysts who work in management consulting or finance, or for ...
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作者：Fisher, Marshall; Raman, Ananth
作者单位：University of Pennsylvania; Harvard University
摘要：In this essay, we examine how retailers can use data to make better decisions and hence, improve their performance. We have been studying retail operations for over two decades and have witnessed many, and been personally involved in a few, projects that delivered considerable value to retailers by better exploiting data. We highlight a few of these examples and also identify some other potential applications.
