Business Commons^™

Vind: A Blockchain-Enabled Supply Chain Provenance Framework For Energy Delivery Systems, Eranga Bandara, Sachin Shetty, Deepak Tosh, Xueping Liang

VMASC Publications

Enterprise-level energy delivery systems (EDSs) depend on different software or hardware vendors to achieve operational efficiency. Critical components of these systems are typically manufactured and integrated by overseas suppliers, which expands the attack surface to adversaries with additional opportunities to infiltrate into EDSs. Due to this reason, the risk management of the EDS supply chain is crucial to ensure that we are knowledgeable about the vulnerabilities in software and hardware components that comprise any critical part, quantifiable risk metrics to assess the severity and exploitability of the attack, and provide remediation solutions that can influence a prioritized mitigation plan. There …

Refocusing Loyalty Programs In The Era Of Big Data: A Societal Lens Paradigm, Valeria Stourm, Scott A. Neslin, Eric T. Bradlow, Els Breugelmans, So Yeon Chun, Pedro Gardete, P. K. Kannan, Praveen Kopalle, Young-Hoon Park, David Restrepo Amariles, Raphael Thomadsen, Yuping Liu-Thompkins, Rajkumar Venkatesan

Marketing Faculty Publications

Big data and technological change have enabled loyalty programs to become more prevalent and complex. How these developments influence society has been overlooked, both in academic research and in practice. We argue why this issue is important and propose a framework to refocus loyalty programs in the era of big data through a societal lens. We focus on three aspects of the societal lens-inequality, privacy, and sustainability. We discuss how loyalty programs in the big data era impact each of these societal factors, and then illustrate how, by adopting this societal lens paradigm, researchers and practitioners can generate insights and …

Two Essays On Investor Attention, Investor Sentiment, And Earnings Pricing, Qiuye Cai

Theses and Dissertations in Business Administration

This dissertation proposes novel direct measures for both firm-level and market-level investor attention and investor sentiment and provides new empirical evidence on the effects of investor attention and investor sentiment on earnings pricing.

The first essay proposes novel direct measures for both market-level and firm-level attention using user activity data from StockTwits.com. To the best of my knowledge, this is the first direct measure of market-level attention. By measuring market-level and firm-level attention separately, I am be able to not only distinguish between attention allocated on market level and firm level but also detach attention from equilibrium outcomes. I document …

Big Data Techniques And Talent Management: Recommendations For Organizations And A Research Agenda For I-O Psychologists, Michael C. Campion, Michael A. Campion, Emily D. Campion

Management Faculty Publications

Big data and its applicability to talent management (TM) as defined by Rotolo et al. (2018) has already been recognized by many outside the field of I-O psychology. The market is beginning to include offerings from vendors for products that use some combination of big data techniques to process vast amounts of data or previously unanalyzable data, which they claim will improve components of TM for organizations. Unfortunately, as noted in the focal article, this “frontier” issue makes it difficult for organizations to separate the wheat from the chaff. Further, with few exceptions, I-O psychology is just beginning …

Semantic Inference On Clinical Documents: Combining Machine Learning Algorithms With An Inference Engine For Effective Clinical Diagnosis And Treatment, Shuo Yang, Ran Wei, Jingzhi Guo, Lida Xu

Information Technology & Decision Sciences Faculty Publications

Clinical practice calls for reliable diagnosis and optimized treatment. However, human errors in health care remain a severe issue even in industrialized countries. The application of clinical decision support systems (CDSS) casts light on this problem. However, given the great improvement in CDSS over the past several years, challenges to their wide-scale application are still present, including: 1) decision making of CDSS is complicated by the complexity of the data regarding human physiology and pathology, which could render the whole process more time-consuming by loading big data related to patients; and 2) information incompatibility among different health information systems (HIS) …

Walling The Garden And Putting The App Into Apple Music, Tim Anderson

Communication & Theatre Arts Faculty Publications

Tim Anderson muses on Apple Music providing a walled garden of goods that, though they could not have imagined it to be successful, sounds great and has nothing revolutionary about it.