Showing papers by "David Schuff published in 2011"
04 Jan 2011
TL;DR: One key finding is that reviews written by a self-described expert are more helpful than those that are not, which can provide guidance to online retailers and rating websites in their efforts to provide value to their customers.
Abstract: As online reviews increasingly become part of the purchasing process, it is important to understand which components of these reviews consumers consider most helpful in facilitating the purchase decision process. Online retailer and rating websites with more helpful reviews offer greater potential value to their consumers. Through two studies, we seek to identify and better understand what makes a helpful consumer review. After an open-ended analysis of the qualities of a review identified by subjects' as helpful, we conducted a controlled experiment that manipulated both the review content and the description of the reviewer. One key finding is that reviews written by a self-described expert are more helpful than those that are not. This information can provide guidance to online retailers and rating websites in their efforts to provide value to their customers.
126 citations
01 Dec 2011
TL;DR: The results of this experiment contradict previous findings and show schema type did not lead to significant performance differences for a content identification task, and the relational schema actually led to slightly better results for a schema augmentation task.
Abstract: An easily understood data warehouse model enables users to better identify and retrieve its data. It also makes it easier for users to suggest changes to its structure and content. Through an exploratory, empirical study, we compared the understandability of the star and traditional relational schemas. The results of our experiment contradict previous findings and show schema type did not lead to significant performance differences for a content identification task. Further, the relational schema actually led to slightly better results for a schema augmentation task. We discuss the implications of these findings for data warehouse design and future research.
32 citations
TL;DR: In this article, the authors identify the drivers of price differences in an online retail marketplace by examining pricing information from a sample of sellers in the market and employ a regression analysis to determine the drivers.
Abstract: Purpose – Despite the availability of side‐by‐side price comparisons, online retailers often charge very different prices for the same product. The purpose of this paper is to identify the drivers of price differences in an online retail marketplace by examining pricing information from a sample of sellers in the market.Design/methodology/approach – An empirical, quantitative research study of Amazon Marketplace, using 498 observations of online sellers of a variety of electronics products was conducted. A regression analysis is employed to determine the drivers of these sellers' prices.Findings – The results provide a set of factors associated with deviation from the mean price Amazon Marketplace retailers charge for a given product. The authors find that online retailers that charge higher prices post additional channels of customer service, post their return policy, have lower reputation scores, display a retail brand logo, offer more products, and are not electronic specialists.Originality/value – The...
15 citations
Book•
01 Jan 2011
TL;DR: This book discusses the GDSS Past, Present, and Future, and Assessing Today: Determining the Value of Decision Support Systems.
Abstract: Foreword.- Chapter 1: GDSS Past, Present, and Future.- Chapter 2: Reflections on the Past and Future of Decision Support Systems: Perspective of Eleven Pioneers.- Chapter 3: The Intellectual Structure of Decision Support Systems Research (1991-2004).- Chapter 4.- Ethical Decision-Making and Implications for Decision Support.- Chapter 5: Web and Mobile Spatial Decision Support as Innovations: Comparison of United States and Hong Kong, China.- Chapter 6: Knowledge Management Capability in Education.- Chapter 7: Knowledge Warehouse Design for Decision Support in Critical Business Processes: Conceptual Modeling and Requirements Elicitation.- Chapter 8: Agent-based Modeling and Simulation as a Tool for Decision Support for Managing Patient Falls in a Dynamic Hospital Setting.- Chapter 9: Context-aware Mobile Medical Emergency Management Decision Support System for Safe Transportation.- Chapter 10: General Motors Bailout Problem: A Teaching Case Using the Planners Lab (TM) Software.- Chapter 11: Assessing Today: Determining the Value of Decision Support Systems.
15 citations
Proceedings Article•
01 Dec 2011TL;DR: The results of the experiment support the notion that the strength of people's opinions can be changed by reading relevant information, but provide only weak support for the effectiveness of categorizing information content.
Abstract: For almost two decades, the Internet and related technologies have made more information available to information users than they can handle. The decentralization of content creation that is a feature of Web 2.0 has only exacerbated this problem. This state of overload, combined with our tendency toward hypothesis-confirming behavior, can result in biased information selection, and threatens both civil discourse and effective decision-making. In this paper, we describe a study of a technique designed to mitigate filtering by enabling content consumers to see a greater diversity of information. The results of our experiment support the notion that the strength of people's opinions can be changed by reading relevant information, but provide only weak support for the effectiveness of categorizing information content. We discuss how the results will guide our future research and inform theory and practice.
3 citations