Disentangling location-based advertising: the effects of location congruency and medium type on consumers' ad attention and brand choice

Ketelaar, P.E.; Bernritter, Stefan F.; Riet, J. van't; Hühn, A.E.; Woudenberg, Thabo J. van; Müller, Barbara; Janssen, Loes

doi:10.1080/02650487.2015.1093810

Cited by 47 publications

(52 citation statements)

References 23 publications

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“…Similar to other forms of personalized advertising, such as location-based advertising (e.g., Ketelaar et al 2017) and ads that include people's names (Bang and Wojdynski 2016), OBA uses personal information to tailor ads in such a way that they are perceived as more personally relevant. A new dimension to this personalization is the fact that the tracking of online activities, collection of behavioral data, and dissemination of information often happen covertly (Ham and Nelson 2016;Nill and Aalberts 2014).…”

Section: Defining Online Behavioral Advertisingmentioning

confidence: 99%

Online Behavioral Advertising: A Literature Review and Research Agenda

Boerman

Kruikemeier

Borgesius

2017

Journal of Advertising

329

237

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Section: Defining Online Behavioral Advertisingmentioning

confidence: 99%

Online Behavioral Advertising: A Literature Review and Research Agenda

Boerman

Kruikemeier

Borgesius

2017

Journal of Advertising

329

237

View full text Add to dashboard Cite

Section: The Smartphone Dilemma Is Evolving As Technology's Role In Omentioning

confidence: 99%

“…One of the ironies of the smartphone dilemma is that our smartphones actually provide a tool for media platforms and advertisers to collect data about us [ 24 ] that then allows them to present targeted content [ 25,26 ] that makes our smartphones even more compelling to us, [ 27 ] further reinforcing our smartphone engagement. This allows platforms and advertisers to benefit from our increasing addiction to social media, [ 26 ] meaning that business models based on advertising are incentivized, or at least may benefit from problematic smartphone behavior. As such, media platforms have a great deal to gain from pulling us away from our immediate opportunities for social interaction and luring us into feeds where we will encounter advertisements and other content that is aimed at behavior change (sometimes this change is good for us, [ 28–30 ] but other times it is detrimental to us.…”

Section: The Smartphone Dilemma Is Evolving As Technology's Role In Omentioning

confidence: 99%

Do Smartphones Create a Coordination Problem for Face‐to‐Face Interaction? Leveraging Game Theory to Understand and Solve the Smartphone Dilemma

2020

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Smartphone use changes the landscape of social interactions, including introducing new social dilemmas to daily life. The challenge of putting down one's smartphone is an example of a classic coordination problem from game theory: the stag hunt game. In a stag hunt game, there are two possible coordination points, one that involves big payoffs for both partners (e.g., working together to hunt large game like stag) and one that involves smaller payoffs for both partners (e.g., individually hunting small game like rabbits) but is safer because it does not require that your partner choose that option as well. This is similar to the challenges of putting down smartphones to have a face‐to‐face interaction: you and your interaction partner might both prefer the higher payoff option of having a face‐to‐face interaction, but neither of you wants to put down your phone and risk not having anything to do in the meantime. It is also discussed how new technological innovations are changing the payoffs of face‐to‐face conversation versus side‐by‐side smartphone scrolling. Insights that come from applying game theory to this “social media dilemma” are discussed here and potential solutions that come out of a game theoretic analysis are offered. Also see the video abstract here https://youtu.be/9esL578zM-E

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“…Retailers are constantly seeking to increase sales, and, since sales in a fixed location are inherently limited (Kumar and Leone 1988), expansion to new locations provides a significant opportunity to achieve this goal (Pancras et al 2012). The location choice for new outlets is critical to retailers, especially for those whose services have to be offered through fixed geographic locations (Brown et al 1981, Ketelaar et al 2017). Access to retail outlets is a critical factor in determining patronage (Eze et al 2015, Ghosh andCraig 1986).…”

Section: Introductionmentioning

confidence: 99%

Predictive and Prescriptive Analytics for Location Selection of Add‐on Retail Products

Huang

Bergman

Gopal

2019

Production and Operations Management

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In this paper, we study an analytical approach to selecting expansion locations for retailers selling add‐on products whose demand is derived from the demand for a separate base product. Demand for the add‐on product is realized only as a supplement to the demand for the base product. In our context, either of the two products could be subject to spatial autocorrelation where demand at a given location is impacted by demand at other locations. Using data from an industrial partner selling add‐on products, we build predictive models for understanding the derived demand of the add‐on product and establish an optimization framework for automating expansion decisions to maximize expected sales. Interestingly, spatial autocorrelation and the complexity of the predictive model impact the complexity and the structure of the prescriptive optimization model. Our results indicate that the formulated models are highly effective in predicting add‐on‐product sales, and that using the optimization framework built on the predictive model can result in substantial increases in expected sales over baseline policies.

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Disentangling location-based advertising: the effects of location congruency and medium type on consumers' ad attention and brand choice

Cited by 47 publications

References 23 publications

Online Behavioral Advertising: A Literature Review and Research Agenda

Online Behavioral Advertising: A Literature Review and Research Agenda

Do Smartphones Create a Coordination Problem for Face‐to‐Face Interaction? Leveraging Game Theory to Understand and Solve the Smartphone Dilemma

Predictive and Prescriptive Analytics for Location Selection of Add‐on Retail Products

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