261 research outputs found
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
Cooperation and Wealth
No full textWe calculate the equilibrium fraction of cooperators in a population in which payoffs accrue from playing a single-shot prisoner’s dilemma game. Individuals who are hardwired as cooperators or defectors are randomly matched into pairs, and cooperators are able to perfectly find out the type of a partner to a game by incurring a recognition cost. We show that the equilibrium fraction of cooperators relates negatively to the population’s level of wealth.Equilibrium fraction of cooperators, Population's level of wealth, Single-shot prisoner's dilemma game
Inequality and Migration: A Behavioral Link
No full textWe provide an analytical-behavioral explanation for the observed positive relationship between income inequality, as measured by the Gini coefficient, and the incentive to migrate. We show that a higher total relative deprivation of a population leads to a stronger incentive to engage in migration for a given level of a population’s income; that total relative deprivation is positively related to the Gini coefficient; and that, consequently, the Gini coefficient and migration are positively correlated, holding the population’s income constant.Income inequality, Relative deprivation, The Gini coefficient, The incentive to migrate
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
Recovery time and propagation effects of passenger transport disruptions
No full textWe propose a method to evaluate public transport network vulnerability. We study the evolution of the passenger Volume Over Capacity (VOC) ratio throughout the network to measure the spatial and temporal extent of the impacts caused by an unplanned service segment disruption. The VOC ratio provides an indication of the on-board travel comfort, an important level-of-service indicator, as well as reflects the residual capacity for absorbing additional demand. Because of the dynamic nature of public transport systems, disturbances propagate through the network in both time and space. Our modelling approach is able to capture transit system dynamics and quantify the extent to which the network exhibits spillover effects. We apply the method to the case of the rapid public transport system of Stockholm Sweden We demonstrate how the changes in network saturation and the corresponding recovery time can be quantified.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Transport and Plannin
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