Seeking Information Using Search Engines: The Impact of Negation on Judgments

We examine how online searches lead to judgment formation in two contexts where statements are negated differently. In one context, a statement (of the form “if P then Q”) is negated using “not” (as in “if P then not Q”), while in the other context, it is negated using a different term or phrase (as in “if P then R”). We show that online searches to find information about the validity of this statement generate different results in these contexts. Our findings contribute to extant work on online searches by suggesting that when individuals test the validity of a statement using search engines, their searches lead to categorically different results contingent on the search context. From a practical standpoint, we make recommendations to search engine developers and content providers so online searches generate more inclusive results

Improving the Quality of Knowledge Assets: Governance Mechanisms and Their Implications

Knowledge management initiatives are less likely to be successful if knowledge repositories do not provide high-quality knowledge assets. Two mechanisms employed by organizations to ensure knowledge quality are using experts to control or edit users’ contributions (such as in a refereed repository), and using a community of users to review, rate, or edit existing contributions (such as in a community-driven wiki). The goal of this paper is to explore these two mechanisms by drawing upon the concept of societal governance from sociology, identify the conditions under which they are preferable, and discuss their impact on how users contribute to and reuse information from knowledge repositories. Propositions are suggested and implications are discussed

Navigating Workload Compatibility Between a Recommender System and a NoSQL Database: An Interactive Tutorial

In this tutorial, the issue of compatibility between a big data storage technology and an analytic workload is explored using a fictitious streaming company as an example. The tutorial offers an interactive approach to help students understand the importance of considering workload compatibility when adopting new technologies. We provide instructors with two Jupyter Notebooks that analyze the compatibility, a detailed instructor guide on how to execute these notebooks, lessons learned, and appendices containing solutions and explanations. This tutorial provides a valuable resource for instructors teaching courses in database systems, big data, and analytic concepts, helping students develop practical skills to navigate the complexities of big data technologies effectively

Purchase Behaviors During Emergencies: Exploratory Analyses and Predictive Models

In this study, we distinguish between traditional emergency events (i.e., those that occur frequently) and novel emergency events (i.e., those that occur rarely in one’s lifetime). We examine consumers’ shopping behaviors during both types of emergency events. Using data from a U.S. supermarket chain, we answer three research questions. First, we conduct multiple cluster analyses and identify three distinct shopping behaviors during emergency events, namely strategic, routine, and stocking. Second, we examine how consumers change their shopping behaviors toward novel emergency events and find that majority of consumers continue to engage in routine shopping behaviors. Third, we examine how to predict shopping behaviors before emergency events and show that all three types of shopping behaviors can be predicted with reasonable levels of accuracy based on consumers’ spending before emergency events

Do In-Game Runs Increase the Probability of Winning in Professional Basketball? A Data-Driven Approach

In professional basketball, an in-game run can be defined as a set of consecutive points that one team scores in a relatively short time frame. This study’s goal was to determine whether an in-game run increases a team’s probability of winning a game above and beyond a baseline value, which is calculated as the probability of winning observed for the same score advantage without a run. Data collected from 8,370 U.S. professional basketball games show that in-game runs rarely provide an additional increase in probability of winning above the baseline. In certain cases, in-game runs are associated with lower probabilities of winning despite their score advantage. Our analysis enables fans, sports enthusiasts, bettors, and TV networks to determine how in-game runs affect the probability of winning in real time

Managing Knowledge Repositories: Governance Mechanisms and Their Implications

Two Strategies or Governance Mechanisms, Widely Employed to Increase the Value of Knowledge assets in organizational repositories are: 1. Expert Governance which employs experts of supervisors as referees to control or edit users\u27 contributions and 2. community governance, which relies on a community of users to review, rate, or edit existing contributions (such as in a wiki). The goal of this dissertation is to introduce the concept of repository mechanisms on knowledge contribution to and knowledge use from electronic repositories. These essays are discussed to achieve the goals of the dissertation

Contribution to and Use of Online Knowledge Repositories: The Role of Governance Mechanisms

Drawing upon the concept of governance, this dissertation refers to the two most commonly employed mechanisms that ensure high quality knowledge in electronic repositories as expert-governance and community-governance. In three related but distinct essays, the dissertation examines the governance concept, and investigates contributing knowledge to and using knowledge from electronic repositories governed by these two mechanisms. The first essay sets the conceptual foundations of knowledge governance in repositories, and examines the salient aspects of expert- and community-governance that contribute to knowledge quality. The essay adopts an interpretive research methodology and analyzes empirical data collected from a range of organizations using interviews and online questionnaires. Findings suggest that executing governance functions thoroughly, experts\u27 credibility, and experts\u27 ownership of content contribute to knowledge quality in expert-governed repositories; and executing governance functions continuously and by a diverse set of members, and members\u27 involvement in governance contribute to knowledge quality in community-governed repositories. The second essay investigates the factors that influence individuals to make voluntary contributions to expert- and community-governed repositories. This essay employs the same research methodology used in Essay I and suggests that personal benefits is a stronger motivator for contributing to expert-governed, and reciprocity is a stronger motivator for contributing to community-governed repositories when these two repositories are implemented on an individual basis in organizational settings. When the two repositories are implemented simultaneously, two sets of factors influence contribution behaviors: knowledge-based factors include the type, formality, and sensitivity of knowledge; and need-based factors include the need for collaboration, expert validation, and recognition. The third essay investigates knowledge use from expert- and communitygoverned repositories using a positivist perspective. It conducts a controlled experiment drawing upon elaboration likelihood model, and finds that the credibility of a governance mechanism positively affects subjects’ perceptions of knowledge quality as well as their intentions to use knowledge, which in turn affect their actual knowledge use. This essay also conducts within-subject comparisons using repeated measures ANOVA to shed light on subjects’ perceptions of expert- and community-governed knowledge assets

Contribution to and Use of Online Knowledge Repositories: The Role of Governance Mechanisms

Drawing upon the concept of governance, this dissertation refers to the two most commonly employed mechanisms that ensure high quality knowledge in electronic repositories as expert-governance and community-governance. In three related but distinct essays, the dissertation examines the governance concept, and investigates contributing knowledge to and using knowledge from electronic repositories governed by these two mechanisms. The first essay sets the conceptual foundations of knowledge governance in repositories, and examines the salient aspects of expert- and community-governance that contribute to knowledge quality. The essay adopts an interpretive research methodology and analyzes empirical data collected from a range of organizations using interviews and online questionnaires. Findings suggest that executing governance functions thoroughly, experts\u27 credibility, and experts\u27 ownership of content contribute to knowledge quality in expert-governed repositories; and executing governance functions continuously and by a diverse set of members, and members\u27 involvement in governance contribute to knowledge quality in community-governed repositories. The second essay investigates the factors that influence individuals to make voluntary contributions to expert- and community-governed repositories. This essay employs the same research methodology used in Essay I and suggests that personal benefits is a stronger motivator for contributing to expert-governed, and reciprocity is a stronger motivator for contributing to community-governed repositories when these two repositories are implemented on an individual basis in organizational settings. When the two repositories are implemented simultaneously, two sets of factors influence contribution behaviors: knowledge-based factors include the type, formality, and sensitivity of knowledge; and need-based factors include the need for collaboration, expert validation, and recognition. The third essay investigates knowledge use from expert- and communitygoverned repositories using a positivist perspective. It conducts a controlled experiment drawing upon elaboration likelihood model, and finds that the credibility of a governance mechanism positively affects subjects’ perceptions of knowledge quality as well as their intentions to use knowledge, which in turn affect their actual knowledge use. This essay also conducts within-subject comparisons using repeated measures ANOVA to shed light on subjects’ perceptions of expert- and community-governed knowledge assets

A data snapshot approach for making real-time predictions in basketball.

This article proposes a novel approach, called data snapshots, to generate real-time probabilities of winning for National Basketball Association (NBA) teams while games are being played. The approach takes a snapshot from a live game, identifies historical games that have the same snapshot, and uses the outcomes of these games to calculate the winning probabilities of the teams in this game as the game is underway. Using data obtained from 20 seasons worth of NBA games, we build three models and compare their accuracies to a baseline accuracy. In Model 1, each snapshot includes the point difference between the home and away teams at a given second of the game. In Model 2, each snapshot includes the net team strength in addition to the point difference at a given second. In Model 3, each snapshot includes the rate of score change in addition to the point difference at a given second. The results show that all models perform better than the baseline accuracy, with Model 1 being the best model

User reactions to information technology: Evidence from the healthcare sector.

This paper examines the diverse nature of user reactions to information technology (IT) within the social-historical context of its organizational use. Employing activity theory as a conceptual framework, we conduct an interpretive analysis of physicians work, perceptions, and IT usage experience at a large community hospital to understand why some of these physicians were favorably disposed toward IT use while others were not. This study complements prior positivistic analyses of IT usage that explain similarities in usage patterns within a user population, by using an interpretive lens to explain differences in usage patterns. Further, we contribute methodologically to the literature by demonstrating a novel approach of quantitatively coding qualitative data that renders the coding amenable to further drill-down analysis