Consumer Behavior

We evaluate the effects of the 2009 Home Affordable Modification Program (HAMP) that provided intermediaries with sizeable financial incentives to renegotiate mortgages. HAMP increased intensity of renegotiations and prevented substantial number of foreclosures but reached just one-third of its targeted indebted households. This shortfall was in large part due to low renegotiation intensity of a few large intermediaries and was driven by intermediary-specific factors.

This tutorial provides evidence that character misrepresentation in survey screeners by Amazon Mechanical Turk Workers ("Turkers") can substantially and significantly distort research findings. Using five studies, we demonstrate that a large proportion of respondents in paid MTurk studies claim a false identity, ownership, or activity in order to qualify for a study. The extent of misrepresentation can be unacceptably high, and the responses to subsequent questions can have little correspondence to responses from appropriately identified participants.

Customer Relationship Management (CRM) campaigns have traditionally focused on maximizing the profitability of the targeted customers. In this paper we investigate the social effects of CRM campaigns. We demonstrate that, in business settings that are characterized by network externalities, a CRM campaign that is aimed at changing the behavior of specific customers propagates through the social network, thereby also affecting the behavior of non-targeted customers.

Uncertainty is an unavoidable part of human life. How do states of uncertainty influence the way people make decisions? We advance the proposition that states of uncertainty increase the reliance on affective inputs in judgments and decisions. In accord with this proposition, results from six studies show that the priming of uncertainty (vs. certainty) consistently increases the effects of a variety of affective inputs on consumers' judgments and decisions.

While research on conspicuous consumption has typically analyzed how people spend money on products that signal status, we investigate conspicuous consumption in relation to time. We argue that a busy and overworked lifestyle, rather than a leisurely lifestyle, has become an aspirational status symbol. A series of studies shows that the positive inferences of status in response to busyness and lack of leisure are driven by the perceptions that a busy person possesses desired human capital characteristics (competence, ambition) and is scarce and in demand on the job market.

We propose the anticipation-event-recall (AER) model. Set in a continuous time frame, the AER model formally links the three components of total utility (i.e., utility from anticipation, event utility, and utility from recall). The AER model predicts the temporal profiles of instant utility experienced before, during, and after a given event. Total utility is calculated as the integral of instant utility. The model builds on the psychological elements of conceptual consumption, adaptation, and time distance.

Consumers are often faced with the opportunity to purchase a new, enhanced product, such as a new phone, even though the product they currently own is still fully functional. The authors propose that consumers act more recklessly with their current products when in the presence of appealing, though not yet attained, product upgrades (not just mere replacements). Carelessness and neglect toward currently owned products stem from a desire to justify the attainment of upgrades without appearing wasteful.

We make three points in response to Boyce, Daly, Hounkpatin, and Wood (2017). First, we clarify a misunderstanding of the goal of our analyses, which was to investigate the links between life satisfaction and spending patterns, rather than spending volume. Second, we report a simulation study we ran to demonstrate that our results were not driven by the proposed statistical artifact. Finally, we discuss the broader issue of why, in a world of big data, small but reliable effect sizes can be valuable.