A typology of consumers based on money attitudes after major recession

Since the Great Recession, not all US consumers have felt the financial benefits of the sustained period of macroeconomic expansion. While some research demonstrates renewed consumer confidence and financial security among households, other studies highlight economic vulnerability and higher levels of distress relative to before the 2007/09 crisis. This study examines empirically the heterogeneity of consumers’ money attitudes in the post-recession economy. Based on a nationally representative sample of US consumers (n=1202), we identify four post-recession consumer types, distinguished by important attitudinal and behavioral differences: “Flourishing Frugal”; “Comfortable Cautious”; “Financial Middle”; and, “Financially Distressed”. While the prior studies offer broad strategic advice, this study indicates that marketers need differentiated strategies to target most effectively and deliver value to different consumer clusters

Feminist stereotypes and women's roles in Spanish radio ads

This article takes a quantitative approach to Spanish radio advertising and the stereotypes and female roles that it broadcasts in a medium that has traditionally had high female audience rates in our country. From content analysis of 679 radio ads extracted from the 3 main general Spanish radio stations and collected 10 years apart, the study attempts to show the evolution (or regression) of how radio advertising portrays women. The radio in Spain has always been a medium anchored in the real world that has also provided some degree of space to broadcast social movement. #MeToo, as a phenomenon promoting female empowerment, was no exception. Therefore, this longitudinal study aims to demonstrate whether the social movements that led to increased female activism have been reflected in a change of roles and stereotypes projected by radio advertising messages. The work presented here looks at the concept of role from a dual perspective: firstly, it focuses on the role played by female voices in radio advertising items. Secondly, it works on the concept of role by assimilating it into the female image projected in radio advertising items. The results obtained between the two samples are remarkably similar, demonstrating a clear tendency to polarise the female image and confirming that women are still being portrayed in significantly traditional roles

Feminist Stereotypes and Women’s Roles in Spanish Radio Ads

This article takes a quantitative approach to Spanish radio advertising and the stereotypes and female roles that it broadcasts in a medium that has traditionally had high female audience rates in our country. From content analysis of 679 radio ads extracted from the 3 main general Spanish radio stations and collected 10 years apart, the study attempts to show the evolution (or regression) of how radio advertising portrays women. The radio in Spain has always been a medium anchored in the real world that has also provided some degree of space to broadcast social movement. #MeToo, as a phenomenon promoting female empowerment, was no exception. Therefore, this longitudinal study aims to demonstrate whether the social movements that led to increased female activism have been reflected in a change of roles and stereotypes projected by radio advertising messages. The work presented here looks at the concept of role from a dual perspective: firstly, it focuses on the role played by female voices in radio advertising items. Secondly, it works on the concept of role by assimilating it into the female image projected in radio advertising items. The results obtained between the two samples are remarkably similar, demonstrating a clear tendency to polarise the female image and confirming that women are still being portrayed in significantly traditional roles

Neuroeconomics: A Critique of 'Neuroeconomics: A Critical Reconsideration'

Some economists believe that the work of neuroeconomists threatens the theory of economics. Glenn Harrison’s paper “Neuroeconomics: A Critical Reconsideration” attempts to set the score, though the points he makes are hidden behind the fumes of his anger (Glenn W. Harrison 2008). The field of neuroeconomics is barely into its teenage years; and it is trying to do what? Redesign the field of economics developed over a hundred years? No, that is not what neuroeconomics is trying to do, in spite of all the efforts of some economists trying to place it into that shoebox. Neuroeconomics is a Mendelian-Economics of sort; it is a science that is able to generate data by fixing the environment to some degree and looking to see each individual’s choices from the initiation of the decision-making process to its outcome. Standard economics (SE), on the other hand, looks at the average of the outputs of many individuals and proposes how the human chose those outcomes. The two fields, neuroeconomics and SE, are evaluating two sides of the same coin; one with and the other without ceteris paribus; they are not necessarily in conflict with one another.A debate over the field of Neuroeconomics

SIGIR 2021 E-Commerce Workshop Data Challenge

The 2021 SIGIR workshop on eCommerce is hosting the Coveo Data Challenge for "In-session prediction for purchase intent and recommendations". The challenge addresses the growing need for reliable predictions within the boundaries of a shopping session, as customer intentions can be different depending on the occasion. The need for efficient procedures for personalization is even clearer if we consider the e-commerce landscape more broadly: outside of giant digital retailers, the constraints of the problem are stricter, due to smaller user bases and the realization that most users are not frequently returning customers. We release a new session-based dataset including more than 30M fine-grained browsing events (product detail, add, purchase), enriched by linguistic behavior (queries made by shoppers, with items clicked and items not clicked after the query) and catalog meta-data (images, text, pricing information). On this dataset, we ask participants to showcase innovative solutions for two open problems: a recommendation task (where a model is shown some events at the start of a session, and it is asked to predict future product interactions); an intent prediction task, where a model is shown a session containing an add-to-cart event, and it is asked to predict whether the item will be bought before the end of the session.Comment: SIGIR eCOM 2021 Data Challeng

\u3ci\u3eOut of the Box\u3c/i\u3e: Bridging the Long-Distance Gap Between Consumer and Product in Online Experiences by Using AR to Facilitate a Deeper Connection Through Virtual Try-Ons

As consumers are more and more preferring online experiences to brick-and-mortar shopping, there is a growing need for new and creative marketing strategies that can overcome the physical distance between consumer and product. In this paper, I demonstrate how augmented reality can bridge that gap, allowing consumers to connect with a product in a way that is not possible through traditional online media forms such as images and video. To that end, this paper includes a detailed breakdown of the conception and creation of Out of the Box, an augmented-reality application developed to enable users to virtually interact with a ring by “trying on” a ring as well as by customizing the appearance of a ring in real time