Journal of Marketing Research
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Published By Sage Publications

1547-7193, 0022-2437

2022 ◽  
pp. 002224372210761
Author(s):  
Shunyao Yan ◽  
Klaus M. Miller ◽  
Bernd Skiera

Ad blockers allow users to browse websites without viewing ads. Online news publishers that rely on advertising income tend to perceive users' adoption of ad blockers purely as a threat to revenue. Yet, this perception ignores the possibility that avoiding ads—which users presumably dislike—may affect users' online news consumption behavior in positive ways. Using 3.1 million visits from 79,856 registered users on a news website, this research finds that ad blocker adoption has robust positive effects on the quantity and variety of articles users consume. Specifically, ad blocker adoption increases the number of articles that users read by 21.5%-43.3%, and it increases the number of content categories that users consume by 13.4%-29.1%. These effects are stronger for less-experienced users. The increase in news consumption stems from increases in repeat visits to the news website, rather than in the number of page impressions per visit. These post-adoption visits tend to start from direct navigation to the news website, rather than from referral sources. The authors discuss how news publishers could benefit from these findings, including exploring revenue models that consider users' desire to avoid ads.


2021 ◽  
pp. 002224372110738
Author(s):  
Kristin Donnelly ◽  
Giovanni Compiani ◽  
Ellen R. K. Evers

Seven experiments (total N = 3,509) and a large field dataset (N = 1,820,671) demonstrate that time periods of equal duration are not always perceived as equivalent. We find that periods feel longer when they span more time categories (e.g., hour, month). For example, periods like 1:45pm – 3:15pm and March 31st – April 6th (boundary-expanded) feel longer than, say, 1:15pm – 2:45pm and April 2nd – April 8th (boundary-compressed). Reflecting this, participants anticipated completing more work during boundary-expanded periods than equivalent boundary-compressed periods. This effect appears to result from the salience and placement of time boundaries. As a consequence, participants preferred scheduling pleasant activities for boundary-expanded and unpleasant activities for boundary-compressed periods. Moreover, participants were willing to pay more to avoid—and required more money to endure—a long wait when it was presented as boundary-expanded. Finally, data from over 1.8 million rideshare trips suggest that consumers are more likely to choose independent rides (e.g., UberX) when they are boundary-compressed when the alternative shared option (e.g., UberPool) is boundary-expanded. Together, our studies reveal that time periods feel longer when they span more boundaries, and that this phenomenon shapes consumers’ scheduling and purchasing decisions.


2021 ◽  
pp. 002224372110738
Author(s):  
Haresh Gurnani ◽  
Shubhranshu Singh ◽  
Sammi Tang ◽  
Huaqing Wang

Consumers may need help using an inherently complex product after purchase. This paper studies a manufacturer’s and a retailer’s incentives to provide pre-sales service and after-sales support in a distribution channel. The authors consider a model in which a manufacturer makes wholesale-price and channel-service decisions. Subsequently, a retailer makes retail-price and channel-service decisions. They find that, in the equilibrium, both channel members provide pre-sales service. If the fixed-cost investment needed to enhance the effectiveness of after-sales support is small, the manufacturer lets the retailer provide after-sales support. But when it is above a threshold and the retailer becomes unwilling to invest in providing after-sales support, the manufacturer steps in and invests in providing it. As expected, when the fixed cost is too large, the manufacturer also opts out of providing after-sales support. Interestingly, when the retailer provides after-sales support, the level of pre-sales service and the demand for after-sales support can simultaneously be the highest among all configurations. Finally, the authors demonstrate the robustness of their main results by studying alternative channel-service configurations.


2021 ◽  
pp. 002224372110735
Author(s):  
Leif Brandes ◽  
David Godes ◽  
Dina Mayzlin

In a range of studies across platforms, online ratings have been shown to be characterized by distributions with disproportionately-heavy tails. We focus on understanding the underlying process that yields such “j-shaped” or “extreme” distributions. We propose a novel theoretical mechanism behind the emergence of “j-shaped” distributions: differential attrition, or the idea that potential reviewers with moderate experiences are more likely to leave the pool of active reviewers than potential reviewers with extreme experiences. We present an analytical model that integrates this mechanism with two extant mechanisms: differential utility and base rates. We show that while all three mechanisms can give rise to extreme distributions, only the utility-based and the attrition-based mechanisms can explain our empirical observation from a large-scale field experiment that an unincentivized solicitation email from an online travel platform reduces review extremity. Subsequent analyses provide clear empirical evidence for the existence of both differential attrition and differential utility.


2021 ◽  
pp. 002224372110735
Author(s):  
Ye Li ◽  
Antonia Krefeld-Schwalb ◽  
Daniel G. Wall ◽  
Eric J. Johnson ◽  
Olivier Toubia ◽  
...  

Researchers and practitioners in marketing, economics, and public policy often use preference elicitation tasks to forecast real-world behaviors. These tasks typically ask a series of similarly-structured questions. The authors posit that every time a respondent answers an additional elicitation question, two things happen: (1) they provide information about some parameter(s) of interest, such as their time preference or the partworth for a product attribute, and (2) the respondent increasingly adapts to the task—i.e., using task-specific decision processes specialized for this task that may or may not apply to other tasks. Importantly, adaptation comes at the cost of potential mismatch between the task-specific decision process and real-world processes that generate the target behaviors, such that asking more questions can reduce external validity. The authors used mouse- and eye-tracking to trace decision processes in time preference measurement and conjoint choice tasks: Respondents increasingly relied on task-specific decision processes as more questions were asked, leading to reduced external validity for both related tasks and real-world behaviors. Importantly, the external validity of measured preferences peaked after as few as seven questions in both types of tasks. When measuring preferences, less can be more.


2021 ◽  
pp. 002224372110708
Author(s):  
Rouven E. Haschka

This paper proposes a panel data generalization for a recently suggested IVfree estimation method that builds on joint estimation. The author shows how the method can be extended to linear panel models by combining fixed-effects transformations with the common GLS transformation to allow for heterogeneous intercepts. To account for between-regressor dependence, the author proposes determining the joint distribution of the error term and all explanatory variables using a Gaussian copula function, with the distinction that some variables are endogenous and the others are exogenous. The identification does not require any instrumental variables if the regressor-error relation is nonlinear. With a normally distributed error, nonnormally distributed endogenous regressors are therefore required. Monte Carlo simulations assess the finite sample performance of the proposed estimator and demonstrate its superiority to conventional instrumental variable estimation. A specific advantage of the proposed method is that the estimator is unbiased in dynamic panel models with small time dimensions and serially correlated errors; therefore, it is a useful alternative to GMM-style instrumentation. The practical applicability of the proposed method is demonstrated via an empirical example.


2021 ◽  
pp. 002224372110705
Author(s):  
Hiroaki Sakaguchi ◽  
Neil Stewart ◽  
John Gathergood ◽  
Paul Adams ◽  
Benedict Guttman-Kenney ◽  
...  

Credit card minimum payments are designed to ensure that individuals pay down their debt over time, and scheduling minimum automatic repayments helps to avoid forgetting to repay. Yet minimum payments have additional, unintended psychological default effects by drawing attention away from the card balance due. First, once individuals set the minimum automatic repayment as the default, they then neglect to make the occasional larger repayments they made previously. As a result, individuals incur considerably more credit card interest than late payment fees avoided. Using detailed transaction data, the authors show that approximately 8% of all of the interest ever paid is due to this effect. Second, manual credit card payments are lower when individuals are prompted with minimum payment information. Two new interventions to mitigate this effect are tested in an experiment, prompting full repayment and prompting those repaying little to pay more, with large counter effects. Hence, shrouding the minimum payment option for automatic and manual payments and directing attention to the full balance may remedy these unintended effects.


2021 ◽  
pp. 002224372110700
Author(s):  
Gizem Yalcin ◽  
Sarah Lim ◽  
Stefano Puntoni ◽  
Stijn M. J. van Osselaer

Although companies increasingly are adopting algorithms for consumer-facing tasks (e.g., application evaluations), little research has compared consumers’ reactions to favorable decisions (e.g., acceptances) versus unfavorable decisions (e.g., rejections) about themselves that are made by an algorithm versus a human. Ten studies reveal that, in contrast to managers’ predictions, consumers react less positively when a favorable decision is made by an algorithmic (vs. a human) decision maker, whereas this difference is mitigated for an unfavorable decision. The effect is driven by distinct attribution processes: It is easier for consumers to internalize a favorable decision outcome that is rendered by a human (vs. an algorithm), while it is easy to externalize an unfavorable decision outcome regardless of the decision maker type. The authors conclude by advising managers on how to limit the likelihood of less positive reactions toward algorithmic (vs. human) acceptances.


2021 ◽  
pp. 002224372110702
Author(s):  
Sıla Ada ◽  
Nadia Abou Nabout ◽  
Elea McDonnell Feit

Ad exchanges where real-time auctions for display ad impressions take place historically emphasized user targeting, and advertisers sometimes did not know which sites their ads would appear on, i.e., the ad context. More recently, some ad exchanges have been encouraging publishers to provide context information to ad buyers, allowing them to adjust their bids for ads at specific sites. This paper explores the empirical effect of a change in context information provided by a private European ad exchange. Analyzing this as a quasi-experiment using difference-in-differences, the authors find that average revenue per impression rose when the exchange provided subdomain information to ad buyers. Thus, ad context information is important to ad buyers, and they will act on it. Revenue per impression rises for nearly all sites, which is what is predicted by auction theory when rational buyers with heterogeneous preferences are given more information. The exception to this are sites with thin markets prior to the policy change; consistent with theory, these sites do not show a rise in prices. This paper adds evidence that ad exchanges with reputable publishers, particularly smaller volume, highquality sites, should provide ad buyers with context information, which can be done at almost no cost.


2021 ◽  
pp. 002224372110690
Author(s):  
Aaron R. Brough ◽  
David A. Norton ◽  
Shannon L. Sciarappa ◽  
Leslie K. John

Drawing from a content analysis of publicly-traded companies’ privacy notices, a survey of managers, a field study, and five online experiments, this research investigates how consumers respond to privacy notices. A privacy notice, by placing legally-enforceable limits on a firm’s data practices, communicating safeguards, and signaling transparency, might be expected to promote confidence that personal data will not be misused. Indeed, most managers expected a privacy notice to make customers feel more secure (Study 1). Yet, consistent with the analogy that bulletproof glass can increase feelings of vulnerability despite the protection offered, formal privacy notices undermined consumer trust and decreased purchase interest even when they emphasized objective protection (Studies 2, 3, and 5) or omitted any mention of potentially concerning data practices (Study 6). These unintended consequences did not occur, however, when consumers had an a priori reason to be distrustful (Study 4) or when benevolence cues were added to privacy notices (Studies 5-6). Finally, Study 7 showed that both the presence and conspicuous absence of privacy information are sufficient to trigger decreased purchase intent. Together, these results provide actionable guidance to managers on how to effectively convey privacy information (without hurting purchase interest).


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