102 research outputs found
Lydia Netzer, 36th Annual ODU Literary Festival
No full textLydia Netzer is the author of Shine, Shine, Shine. She was born in Detroit and educated in the Midwest. She lives in Virginia with her two home-schooled children and math -making husband. When she isn\u27t working as a book doctor, blogging, or drafting her second novel, she writes songs and plays guitar in a rock band called The Virginia Janes
Supplemental Material, DS_10.1177_0022243719852959 - When Words Sweat: Identifying Signals for Loan Default in the Text of Loan Applications
No full textSupplemental Material, DS_10.1177_0022243719852959 for When Words Sweat: Identifying Signals for Loan Default in the Text of Loan Applications by Oded Netzer, Alain Lemaire and Michal Herzenstein in Journal of Marketing Research</p
The polarity of online reviews: Prevalence, drivers and implications
No full textIn this research, the authors investigate the prevalence, robustness, and possible reasons underlying the polarity of online review distributions, with the majority of the reviews at the positive end of the rating scale, a few reviews in the midrange, and some reviews at the negative end of the scale. Compiling a large data set of online reviews—over 280 million reviews from 25 major online platforms—the authors find that most reviews on most platforms exhibit a high degree of polarity, but the platforms vary in the degree of polarity on the basis of how selective customers are in reviewing products on the platform. Using cross-platform and multimethod analyses, including secondary data, experiments, and survey data, the authors empirically confirm polarity self-selection, described as the higher tendency of consumers with extreme evaluations to provide a review as an important driver of the polarity of review distributions. In addition, they describe and demonstrate that polarity self-selection and the polarity of the review distribution reduce the informativeness of online reviews
sj-pdf-1-mrj-10.1177_00222437231189185 - Supplemental material for Detecting Routines: Applications to Ridesharing Customer Relationship Management
No full textSupplemental material, sj-pdf-1-mrj-10.1177_00222437231189185 for Detecting Routines: Applications to Ridesharing Customer Relationship Management by Ryan Dew, Eva Ascarza, Oded Netzer and Nachum Sicherman in Journal of Marketing Research</p
sj-pdf-1-mrj-10.1177_00222437211037258 - Supplemental material for The Power of Brand Selfies
No full textSupplemental material, sj-pdf-1-mrj-10.1177_00222437211037258 for The Power of Brand Selfies by Jochen Hartmann, Mark Heitmann, Christina Schamp and Oded Netzer in Journal of Marketing Research</p
Supplemental Material, DS_10.1177_0022242919873106 - Uniting the Tribes: Using Text for Marketing Insight
No full textSupplemental Material, DS_10.1177_0022242919873106 for Uniting the Tribes: Using Text for Marketing Insight by Jonah Berger, Ashlee Humphreys, Stephan Ludwig, Wendy W. Moe, Oded Netzer and David A. Schweidel in Journal of Marketing</p
Tell me who your brands are and I will tell you who you vote for
No full textPast research increasingly highlights opportunities to learn about consumers’ attitudes and behavior from publicaly available social media data sources (e.g., Netzer et al. 2012; Culotta and Cutler 2016). In line with this evolving research stream, we show how information regarding the followers of brands and politicians on Twitter can be used to learn about the associations between politicians and brands. More specifically, we investigate which brands the followers of major politicians (e.g., Donald Trump, Hilary Clinton, Bernie Sanders) and political parties (e.g., Democratic Party and GOP) follow in order to identify the political position of each brand. Building on this we then show how this information relates to predictions of people’s voting behavior based on their brand preferences and contrast with conventional demographic predictors. Finally, we relate the brand-politician associations to brand image data using Y&R Brand Asset Valuator and show how the proximity of brands and politicians based on social networking data relates to the characteristics of the brands
The outlook for the metropolitan area
No full textThe author assesses the region's future and identifies policies that might improve the local outlook. He acknowledges that substantial cuts in the local tax burden could increase growth but doubts whether local governments could afford such widespread reductions. Instead, he argues, it would be more beneficial for authorities to seek ways to lower the cost of doing business in the region, possibly by reducing taxes levied on intermediate goods and services purchased by businesses.New York (N.Y.) ; Federal Reserve District, 2nd
Clinical commentary by Antje Netzer-Stein, child and adolescent psychotherapist and psychoanalyst
No full textThe author reflects on the case of a 16-year-old girl with psychosomatic symptoms and underwent psychotherapy and specifically teenagers' tendency to struggle between regressive tendencies and be more independent. A background of the girl is provided who is an only child of separated parents and suffered several traumatic separations as a child. Also examined are the mental health of her mother and the dynamics between mother and daughter
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Modern Brand Management
No full textModern brand management requires an understanding and use of new types of data such as text, and video data as well as techniques such as deep learning. Given this background, my thesis aims to build a modern data-driven approach to help brand managers successfully manage brands. My dissertation has three essays. In the first, I show how managers can develop metrics from Twitter to monitor brand preference at the micro-temporal and micro-geographic levels. I find that my metric leads online sales and can even predict elections. In the second, I show how managers can ascertain the effectiveness of Facebook video ads by using two measure of video ads that I develop: visual and audio saliency. Empirical test of these measures shows that visual saliency, in particular, within the first few seconds of a video ad can predict the degree of social engagement that the video ad will garner. In the final essay, I propose a three-stage framework of association transfer between and an endorser and a brand: pre-, peri-, and post-endorsement. I find that a two-way transfer of association takes place between a brand its endorsers: while the brand borrows associations, the endorsers’ associations also change. These findings show why brand managers need to consider the endorsement theme and endorsers’ associations when choosing brand endorsers. Taken together, my package of studies contributes to both the practice of and research on brand management.</p
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