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作者：Srinivasan, Ravi; Swink, Morgan
作者单位：Loyola University Maryland; Texas Christian University
摘要：Many businesses are seeking to develop and exploit analytics capabilities today. Using organizational information processing theory (OIPT), we study demand visibility and supply visibility as foundational resources for analytics capability, and organizational flexibility as a complementary capability. We further examine relationships among these factors under varying conditions of market volatility, a type of environmental uncertainty. The results from our analysis of data from 191 global firm...
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作者：Mukherjee, Ujjal Kumar; Sinha, Kingshuk K.
作者单位：University of Illinois System; University of Illinois Urbana-Champaign; University of Minnesota System; University of Minnesota Twin Cities
摘要：This study investigates judgment bias (under-reaction or over-reaction) in product recall decisions by firms when they respond to adverse event reports generated by users of their products. We develop an integrative theoretical framework for identifying the sources of judgment bias in product recall decisions. We analyze user-generated reports (big and unstructured data) on adverse events related to medical devices, using a combination of econometric and predictive analytic methods. We find th...
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作者：Choi, Tsan-Ming; Wallace, Stein W.; Wang, Yulan
作者单位：Hong Kong Polytechnic University; Norwegian School of Economics (NHH); Hong Kong Polytechnic University
摘要：Big data analytics is critical in modern operations management (OM). In this study, we first explore the existing big data-related analytics techniques, and identify their strengths, weaknesses as well as major functionalities. We then discuss various big data analytics strategies to overcome the respective computational and data challenges. After that, we examine the literature and reveal how different types of big data methods (techniques, strategies, and architectures) can be applied to dif...
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作者：Lau, Raymond Yiu Keung; Zhang, Wenping; Xu, Wei
作者单位：City University of Hong Kong; Renmin University of China
摘要：While much research work has been devoted to supply chain management and demand forecast, research on designing big data analytics methodologies to enhance sales forecasting is seldom reported in existing literature. The big data of consumer-contributed product comments on online social media provide management with unprecedented opportunities to leverage collective consumer intelligence for enhancing supply chain management in general and sales forecasting in particular. The main contribution...
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作者：Foster, Krista; Penninti, Pooja; Shang, Jennifer; Kekre, Sunder; Hegde, Gajanan G.; Venkat, Arvind
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh; Carnegie Mellon University; Carnegie Mellon University; Allegheny Health Network
摘要：Managing emergency physicians is a complex task and has increasingly intensified with the recent consolidation of many emergency departments (EDs). Large-scale physician groups are facing challenges in resource deployment and performance evaluation. To objectively evaluate physicians across facilities, we leverage big data from an emergency physician management network and propose data-driven metrics using a large-scale database consisting of 84 hospitals, 1,079 physicians, and 10,615,879 pati...
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作者：Ellis, Scott C.; Rao, Shashank; Raju, Dheeraj; Goldsby, Thomas J.
作者单位：University System of Georgia; Georgia Southern University; Auburn University System; Auburn University; University of Alabama System; University of Alabama Birmingham; University System of Ohio; Ohio State University
摘要：Despite the promise that the technology offers, RFID adoption continues to lag behind initial projections. Industry studies intimate that, in part, this lag is attributable to the RFID performance gap - the difference between desired RFID tag read-rates and those experienced in the field. To explore this phenomena, we employ a mixed research methodology involving intensive case studies of three major retailers as well as large-scale laboratory and field data collection and analysis. Our case s...
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作者：Boone, Tonya; Ganeshan, Ram; Hicks, Robert L.; Sanders, Nada R.
作者单位：William & Mary; William & Mary; Northeastern University
摘要：In this issue, Cui etal. () show how the quantity and quality of user-generated Facebook data can be used to enhance product forecasts. The intent of this note is to show how another type of user-generated contentcustomer search data, specifically one obtained from Google Trendscan be used to reduce out-of-sample forecast errors. Based on our work with an online retailer, we bolster Cui etal. () result by showing that adding customer search data to time series models improves out-of-sample for...
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作者：Sanders, Nada R.; Ganeshan, Ram
作者单位：Northeastern University; William & Mary
摘要：Big data has become ubiquitous. It is impacting every aspect of how companies organize and manage their supply chains. Supply chains are evolving into digital networks connected via devices and sensors revolutionizing how data is generated, shared, and communicated. It is also unlocking new research streams. In this study, we introduce papers in this issue and showcase Big Data research trends across supply chain management.
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作者：Cui, Ruomeng; Gallino, Santiago; Moreno, Antonio; Zhang, Dennis J.
作者单位：Indiana University System; Indiana University Bloomington; IU Kelley School of Business; Dartmouth College; Northwestern University; Washington University (WUSTL)
摘要：While the value of using social media information has been established in multiple business contexts, the field of operations and supply chain management have not yet explored the possibilities it offers in improving firms' operational decisions. This study attempts to do that by empirically studying whether using publicly available social media information can improve the accuracy of daily sales forecasts.We collaborated with an online apparel retailer to assemble a dataset that combines (1) ...
