In this article, we first present the benefit of combing text analysis (topic models in particular) with interactive visualization. We then highlight examples from prior work on topic and time-oriented visual text analysis. Lastly, we present four challenges that warrant additional future research in the field of visual text analysis.
Years of research have been devoted to computer-generated 2D marbling, whereas 3D marbling has yet to be explored. The proposed mathematical marbling of 3D solids supports a compact random-access vector representation, creating solid marbling textures by composing closed-form 3D pattern tool functions. The resulting representation is feature-preserving and resolution-independent, and it consumes very little memory. To facilitate the solid-marbling texture authoring process, the authors also developed an intuitive user interface and a genetic algorithm.
User-generated content, such as online product reviews, is a valuable source of consumer insight. Such unstructured big data is generated in real-time, is easily accessed, and contains messages consumers want managers to hear. Analyzing such data has potential to revolutionize market research and competitive analysis, but how can the messages be extracted? How can the vast amount of data be condensed into insights to help steer businesses’ strategy? We describe a non-proprietary technique that can be applied by anyone with statistical training. Latent Dirichlet Allocation (LDA) can analyze huge amounts of text and describe the content as focusing on unseen attributes in a specific weighting. For example, a review of a graphic novel might be analyzed to focus 70% on the storyline and 30% on the graphics. Aggregating the content from numerous consumers allows us to understand what is, collectively, on consumers’ minds, and from this we can infer what consumers care about. We can even highlight which attributes are seen positively or negatively. The value of this technique extends well beyond the CMO's office as LDA can map the relative strategic positions of competitors where they matter most: in the minds of consumers.
Conjoint analysis is a method for measuring and modeling consumer preferences for multiattribute alternatives. The purpose of this research was to determine the preferred high-performance fabrics for a mountaineering jacket to identify those fabric attributes best suited to the consumer’s needs. A conjoint analysis was conducted using 120 samples taken from mountaineering club members including university students and amateur hikers, who ranked their preferences in the selection of a hypothetical jacket based on the profiles derived from an orthogonal design. Our results show that the water/windproof attribute was the most important in choosing a hypothetical jacket (27.6 %), followed by price (24.9 %), breathability (24.8 %), durability (18.1 %), and weight (4.6 %).
Working Paper No. 20830 We argue that reputation mechanisms used by platform markets suffer from two problems. First, buyers may draw conclusions about the quality of the platform from single transactions, causing a reputational externality across sellers. Second, for a variety of reasons we discuss, reputations will be biased. We document these problems using eBay data and claim that platforms can benefit from identifying and promoting higher quality sellers. We create an unobservable measure of seller quality and demonstrate the benefits of our approach through a controlled experiment that prioritizes better quality sellers. We highlight the importance of reputational externalities and chart an agenda that aims to create more realistic models of platform markets.
Mixed criticality systems have recently received much attention both in research and in industrial design practice. However, industrial practice and much of the research community seem to follow different objectives and research directions. We will review the status of mixed criticality systems design and compare the open challenges with the current research trends.
The use of mobile devices by consumers and the accompanying response by retailers is rapidly revolutionizing the retail environment. In the past, retailers have focused primarily on the outcome (to purchase or not to purchase) of the consumer decision process, but now mobile technologies give retailers the opportunity to more actively influence the entire consumer decision-making processes. The increasing use of mobile devices by consumers makes shopping a continuous rather than discrete activity that requires retailers to engage with their customers at critical touch points of the decision process in order to provide a more customer-centric experience. This change in focus from the decision outcome to the decision process signifies an important paradigm shift for the retailing industry. After an extensive review of the literature, we identify four pillars that form the foundation for the mobile shopping revolution and represent the essential ways and means through which retailers can engage with consumers during the decision process. We also discuss the different areas in which the pillars can enable retailers to achieve a sustainable competitive advantage in the mobile shopping era.
This article investigates the role of Facebook in the establishment of relationships between brands and their fans, extending the link between relationship marketing and online consumer behavior. We explore what drives a user to connect with a brand profile on Facebook, to participate and interact with the community, and to share content published by brands on their own personal walls. To understand this relationship, we employed both qualitative and quantitative research techniques. The qualitative study was based on in-depth interviews of online marketing specialists and on a focus group comprised of Facebook users who were brand followers. The quantitative study was based on a structured questionnaire, which gathered responses from 650 Facebook brand followers. Results show that while Facebook users are willing to connect to brands on Facebook, they do not seem to interact or to frequently share brand content themselves. As a consequence, brands must strategize to establish a relationship with their brand profile fans.