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RESEARCH ARTICLES

INFORMS Journal Articles

Editorial—Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research

Published Online:

Information Systems Research

    Abstract
    We address key questions related to the explosion of interest in the emerging fields of big data, analytics, and data science. We discuss the novelty of the fields and whether the underlying questions are fundamentally different, the strengths that the ...
Computational Optimization and Statistical Methods for Big Data Analytics: Applications in Neuroimaging

Published Online:

INFORMS TutORials in Operations Research

    Abstract
    This tutorial focuses on recent advances in computational optimization and statistical methodologies in big data analytics, which is a rapidly emerging interdisciplinary research area. The main focus of this paper lies on classification, regression, and ...
The Service Revolution and the Transformation of Marketing Science

Published Online:

Marketing Science

    Abstract
    The nature of marketing science is changing in a systematic, predictable, and irrevocable way. As information technology enables ubiquitous customer communication and big customer data, the fundamental nature of the firm's connection to the customer ...
IBM Predicts Cloud Computing Demand for Sports Tournaments

Published Online:

Interfaces

    Abstract
    The rapid growth of the Internet and of mobile and other smart technologies has generated increased demand on digital platforms, which are supported by enterprise cloud-computing capabilities. To support IBM’s leadership in analytics, mobile, and cloud ...
Tie Strength, Embeddedness, and Social Influence: A Large-Scale Networked Experiment

Published Online:

Management Science

    Abstract
    We leverage the newly emerging business analytical capability to rapidly deploy and iterate large-scale, microlevel, in vivo randomized experiments to understand how social influence in networks impacts consumer demand. Understanding peer influence is ...
Pricing Personalized Bundles: A New Approach and An Empirical Study

Published Online:

M&SOM

    Abstract
    This paper studies the pricing strategies for personalized product bundles. In such problems, a seller provides a variety of products for which customers can construct a personalized bundle and send a request for quote (RFQ) to the seller. The seller, ...
A Structured Analysis of Unstructured Big Data by Leveraging Cloud Computing

Published Online:

Marketing Science

    Abstract
    Accurate forecasting of sales/consumption is particularly important for marketing because this information can be used to adjust marketing budget allocations and overall marketing strategies. Recently, online social platforms have produced an unparalleled ...
Mining Brand Perceptions from Twitter Social Networks

Published Online:

Marketing Science

    Abstract
    Consumer perceptions are important components of brand equity and therefore marketing strategy. Segmenting these perceptions into attributes such as eco-friendliness, nutrition, and luxury enable a fine-grained understanding of the brand’s strengths and ...
A Video-Based Automated Recommender (VAR) System for Garments

Published Online:

Marketing Science

    Abstract
    In this paper, we propose an automated and scalable garment recommender system using real-time in-store videos that can improve the experiences of garment shoppers and increase product sales. The video-based automated recommender (VAR) system is based on ...
Online Collaborative Filtering on Graphs

Published Online:

Operations Research

    Abstract
    Existing approaches to designing recommendation systems with user feedback focus on settings where the number of items is small and/or admit some underlying structure. It is unclear, however, if these approaches extend to applications like social network ...
Learning Context-Sensitive Domain Ontologies from Folksonomies: A Cognitively Motivated Method

Published Online:

INFORMS Journal on Computing

    Abstract
    Ontology is the backbone of the Semantic Web, helping users search for relevant resources from the Web of linked data. The existing context-free mapping approach between tags and concepts fails to address the problems of social synonymy and social ...
Service Provisioning Problem in Cloud and Multi-Cloud Systems

Published Online:

INFORMS Journal on Computing

    Abstract
    Cloud computing is a new emerging paradigm that aims to streamline the on-demand provisioning of resources as services, providing end users with flexible and scalable services accessible through the Internet on a pay-per-use basis. Because modern cloud ...

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