Economics Insights @ CBS

At each stage in customers' journeys, they encounter different types of numeric information that they process using different judgment strategies. Relevant numbers might include budgets, price, product attributes, product counts, product ratings, numbers in brand names, health and nutrition information, financial information, time-related information, and others. This manuscript provides a review of the vast array of numerical information presented to consumers at different stages of the customer journey.

Trickle-down theories suggest that status symbols and fashion trends originate from the elites and move downward, but some high-end restaurants serve lowbrow food (e.g., potato chips, macaroni and cheese), and some high-status individuals wear downscale clothing (e.g., ripped jeans, duct-taped shoes). Why would high-status actors adopt items traditionally associated with low-status groups?

Words are part of almost every marketplace interaction. Online reviews, customer service calls, press releases, marketing communications, and other interactions create a wealth of textual data. But how can marketers best use such data? This article provides an overview of automated textual analysis and details how it can be used to generate marketing insights. The authors discuss how text reflects qualities of the text producer (and the context in which the text was produced) and impacts the audience or text recipient.

Entrepreneurial motivation is important to the process of economic growth. However, evidence on the motivations of innovative entrepreneurs, and how those motivations differ across fundamental characteristics, remains scant. We conduct three interrelated field experiments with the MIT Inclusive Innovation Challenge to study how innovative entrepreneurs respond to messages of money and social impact, and how this varies across gender and culture.