Social and Behavioral Sciences Commons^™

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 …

Workflow For Constructing Social Networks From Automated Telemetry Systems, Daizaburo Shizuka, Sahas Barve, Allison Johnson, Eric L. Walters

Biological Sciences Faculty Publications

1. Advances in datalogging technologies have provided a way to monitor the movement of individual animals at unprecedented spatial and temporal scales, both large and small. When used in conjunction with social network analyses, these data can provide insight into fine scale associative behaviors. The variety of technologies demand continuous progress in workflows to translate data streams from automated systems to social networks, based on biologically relevant metrics.

2. Here we present a workflow for generating flexible association matrices from automated radio-telemetry data that can be parsed into both spatial and temporal dimensions. These can then be used to generate …

Disaster Damage Categorization Applying Satellite Images And Machine Learning Algorithm, Farinaz Sabz Ali Pour, Adrian Gheorghe

Engineering Management & Systems Engineering Faculty Publications

Special information has a significant role in disaster management. Land cover mapping can detect short- and long-term changes and monitor the vulnerable habitats. It is an effective evaluation to be included in the disaster management system to protect the conservation areas. The critical visual and statistical information presented to the decision-makers can help in mitigation or adaption before crossing a threshold. This paper aims to contribute in the academic and the practice aspects by offering a potential solution to enhance the disaster data source effectiveness. The key research question that the authors try to answer in this paper is how …