- Consumer Market Behavior and Pricing
- Digital Platforms and Economics
- Technology Adoption and User Behaviour
- Digital Marketing and Social Media
- Auction Theory and Applications
- Business Strategy and Innovation
- Customer Service Quality and Loyalty
- Innovation and Knowledge Management
- Ethics and Social Impacts of AI
- Consumer Behavior in Brand Consumption and Identification
- Sentiment Analysis and Opinion Mining
- Consumer Retail Behavior Studies
- Business Process Modeling and Analysis
- Data-Driven Disease Surveillance
- Knowledge Management and Sharing
- Work-Family Balance Challenges
- Service-Oriented Architecture and Web Services
- Health, Environment, Cognitive Aging
- Innovative Approaches in Technology and Social Development
- ERP Systems Implementation and Impact
- Artificial Intelligence in Healthcare and Education
- Usability and User Interface Design
- Media Influence and Health
- Statistical Methods in Clinical Trials
- Collaboration in agile enterprises
Rensselaer Polytechnic Institute
2010-2024
University of Maryland, College Park
2022
Dr. Agarwal's Eye Hospital
2008
Kurchatov Institute
2008
Abstract Researchers have investigated whether machine learning (ML) may be able to resolve one of the most fundamental concerns in personnel selection, which is by helping reduce subgroup differences (and resulting adverse impact) race and gender selection procedure scores. This article presents three such investigations. The findings show that growing practice making statistical adjustments (nonlinear) ML algorithms must create predictive bias (differential prediction) as a mathematical...
The growth of the Internet has spawned an increasing number online information sources (OISs). effect OISs on consumer search processes been particularly striking in sectors such as auto retailing, where typical conventionally confronted with unpleasant and inefficient purchase process. However, relationships between found “marketspace,” offline “marketplace,” other aspects multichannel shopping process are not well understood. This study examines differential impact price product...
This article focuses on a novel mechanism for market segmentation and price discrimination based consumers' use of online infomediaries. Using the automotive retailing context as setting study, authors address following question: Can infomediaries serve viable discrimination? They draw unique extensive data set consumers who report information they found when using buying services (OBS) part their new vehicle purchase process. The analysis shows that obtain pay lower prices (for same...
This paper examines the behavioral aspects of bidder conduct in on-line auctions. It utilizes price data from 113 auctions, surveys winning bidders, and draws upon consumer behavior auctions' literature to examine individual trait differences shopping preferences that predict a buyer's decision use "strategic exit," fixed-price Buy-It-Now (BIN) functionality. argues impulse-buying tendencies, competitiveness, hedonic need fulfillment are antecedents strategic exit, moderates effect...
This research empirically examines the role of board directors in driving IT alignment. We develop a model that links governance initiators, practices, and The strategic importance acts as initiator including direct involvement management IT, CIO communications with board, consideration investments, quantity usefulness information provided to board. Using an extensive survey 256 members directors, we found three firm practices are influenced by all four associated increased levels alignment,...
Abstract The provision of services has become an increasingly important component the economy industrialized countries and revenue stream for many traditional product companies. This is especially true companies that offer information technology (IT) products. paper examines factors are associated with extent to which IT able develop service revenue, we refer as expansion We identify characteristics portfolio—specifically, composition scope firm offerings among hardware, application...
It has become widely accepted that information technology (IT) had a profound influence on market transactions, with lower search costs for buyers often considered the key to prices and higher consumer welfare. However, sellers also use online channels whose product preferences valuations match sellers' offerings, limited research examined impact of IT strategies or associated outcomes. In this study, we investigate how characteristics, length time seller searches auction marketplace buyer,...
This study investigated the use and impact of wireless communication technology developed by Vocera Communications implemented at St Agnes Hospital, Baltimore, MD. The specific focus was on a newly installed component system, Messaging Interface, which enables connectivity between third-party systems, such as nurse call system. results investigation integration confirmed that integrated communications system reduced overall mean time for completing patient request 51% across all observations...
This article focuses on a novel mechanism for market segmentation and price discrimination based consumers' use of online infomediaries. Using the automotive retailing context as setting study, authors address following question: Can infomediaries serve viable discrimination? They draw unique extensive data set consumers who report information they found when using buying services (OBS) part their new vehicle purchase process. The analysis shows that obtain pay lower prices (for same...
An information intermediary (or infomediary) is an online firm that plays important role in the component of a transaction but not logistics component. Infomediary sales channels which leads originate are converted to by offline force particularly areas such as automobile retailing, real estate, insurance, mortgages, and many other contexts. This research examines technologies organization creating value for infomediary channels, formally examining channel outcomes using analytical model...
The Internet enables sellers to offer products through multiple channels simultaneously. In particular, many utilize online auctions in parallel an offline channel which they the item for a fixed price. Using search theory, we develop analytical model studying sellers’ pricing decisions and auction outcomes context of such multichannel retailing. Our provides framework how characteristics demand retail sales impact seller’s optimal reserve price channel, probability that ends sale, is sold...
This paper focuses on a novel mechanism for market segmentation and price discrimination based consumers' use of online infomediaries. Using the auto-retailing context as setting our study we address following question: Can infomediaries serve viable traditional dealers manufacturers? We draw upon unique extensive dataset consumers who report their information retrieval patterns well buying services (OBS) usage in new vehicle purchase process. The analysis shows that obtain pay lower prices...
Machine learning (ML) models are increasingly used for personnel assessment and selection (e.g., resume screeners, automatically scored interviews). However, concerns have been raised throughout society that ML assessments may be biased perpetuate or exacerbate inequality. Although organizational researchers begun investigating from traditional psychometric legal perspectives, there is a need to understand, clarify, integrate fairness operationalizations algorithmic bias mitigation methods...
Social media has been an incredible platform for startups to develop meaningful connections with stakeholders and customers. We investigate ways in which entrepreneurs use social drive both the level of engagement their startup subsequent venture financing. Our empirical analysis demonstrates how differences entrepreneurs' tweets—i.e., informativity, persuasiveness, transformativity—is associated different levels show activity platform—i.e., number tweets, mentions other accounts,...
This paper empirically investigates how review moderation transparency affects the volume, length, and negativity of reviews. A change to Yelp platform in 2010, introducing displaying filtered reviews, created a natural experiment. We used panel dataset online reviews from same set restaurants on both TripAdvisor platforms difference-in-differences (DID) model test affected our outcome variables. found that increasing negatively volume but positively negativity. The results also indicate...
We examine a machine learning approach for deriving insights from observational healthcare data in order to improve public health. Our goal is simultaneously identify patient subpopulations with differing health risks and find the distinct risk factors or determinants associated each subpopulation. Here, we develop supervised Gaussian Mixture Model (GMM) subpopulation modeling that combines GMMs L1-logistic regression. demonstrate on an analysis of high cost drivers Medicaid expenditures...
The goal of this study was to investigate the use and impact wireless Voice over Internet Protocol (VoIP) communication technology developed by Vocera Communications used clinicians mobile workers in a healthcare setting. Of particular interest for newly installed component system, Messaging Interface (VMI), which enables connectivity between external systems system via Server. We focused on specific VMI application industry that directly integrates with Nurse Call Systems. In Integration...
This research examines how the type of information technology (IT) provided among hardware, software, and services—and degree to which IT is bundled into a solution—influences levels satisfaction loyalty buyers. We refer services offerings jointly as products-services stack, stacks are useful visualizations layers products hierarchically related. utilize over 36,000 ratings 68 vendors by vendors’ customers test our model. The findings indicate that offering in lower stack experience higher...
It has become widely accepted that information technology (IT) had a profound influence on market transactions, with lower search costs for buyers often considered the key to prices and higher consumer welfare. However, sellers also use online channels whose product preferences valua-tions match sellers’ offerings, limited research examined impact of IT strat-egies or associated outcomes. In this study, we investigate how characteristics, length time seller searches auction marketplace...