6 results on '"Shriver, Scott K."'
Search Results
2. Privacy and Market Concentration: Intended and Unintended Consequences of the GDPR.
- Author
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Johnson, Garrett A., Shriver, Scott K., and Goldberg, Samuel G.
- Subjects
INDUSTRIAL concentration ,GENERAL Data Protection Regulation, 2016 ,PRIVACY - Abstract
We show that websites' vendor use falls after the European Union's (EU's) General Data Protection Regulation (GDPR), but that market concentration also increases among technology vendors that provide support services to websites. We collect panel data on the web technology vendors selected by more than 27,000 top websites internationally. The week after the GDPR's enforcement, website use of web technology vendors falls by 15% for EU residents. Websites are relatively more likely to retain top vendors, which increases the concentration of the vendor market by 17%. Increased concentration predominantly arises among vendors that use personal data, such as cookies, and from the increased relative shares of Facebook and Google-owned vendors, but not from website consent requests. Although the aggregate changes in vendor use and vendor concentration dissipate by the end of 2018, we find that the GDPR impact persists in the advertising vendor category most scrutinized by regulators. Our findings shed light on potential explanations for the sudden drop and subsequent rebound in vendor usage. This paper was accepted by Matthew Shum, marketing. Funding: Financial support from the Marketing Science Institute and the George Mason University Program on Economics & Privacy is gratefully acknowledged. Supplemental Material: The web appendix and data are available at https://doi.org/10.1287/mnsc.2023.4709. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
3. Demand Expansion and Cannibalization Effects from Retail Store Entry: A Structural Analysis of Multichannel Demand.
- Author
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Shriver, Scott K. and Bollinger, Bryan
- Subjects
RETAIL stores ,RETAIL industry ,ECONOMIC demand ,INTERNET sales ,CONSUMERS ,INTERNET stores - Abstract
In this paper, we investigate the demand response of a firm's existing customers to retail store entry and which aspects of the response are demand-expanding and which cannibalize online sales. The empirical goal of the paper is to separately identify the effects of customer-to-store distance on purchase frequency, channel choice, and expenditure per purchase, using transaction-level data from a multichannel apparel brand. Our identification strategy exploits within-customer variation in distance resulting from store entry during a period of rapid retail expansion. We establish retail distance effects using descriptive regressions before developing a unified structural model that affords rich counterfactual analyses and further controls for product category preferences. We find material effects of decreasing retail store distance on purchase frequency and retail channel choice but not expenditures per purchase. Our structural model ascribes mechanisms to these effects in the form of increased brand consideration, higher retail utility from nonmonetary factors (e.g., reduced driving times), and infungibility of monetary transportation costs with budgets for apparel. Our estimates imply that a 10% reduction in retail store distance increases retail channel expenditures by 1.9% and decreases online channel expenditures by 1.2%, resulting in a 0.4% increase in total expenditures. Through counterfactual experiments, we demonstrate that retail expansion can ultimately limit the ability of the firm to price discriminate across channels because reducing transportation costs weakens the firm's ability to enforce channel-based segmentation schemes. This paper was accepted by Matthew Shum, marketing. Supplemental Material: The online appendix and data are available at https://doi.org/10.1287/mnsc.2022.4308. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
4. Consumer Privacy Choice in Online Advertising: Who Opts Out and at What Cost to Industry?
- Author
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Johnson, Garrett A., Shriver, Scott K., and Du, Shaoyin
- Subjects
INTERNET advertising ,CONSUMER preferences ,INTERNET privacy ,DISPLAY advertising ,INDUSTRIAL costs - Abstract
This paper studies consumers' revealed privacy choice in online display advertising using real-world transaction data from an ad exchange. We study consumer privacy choice in the context of online display advertising, where advertisers track consumers' browsing to improve ad targeting. In 2010, the American ad industry self-regulated by implementing the AdChoices program: consumers could opt out of online behavioral advertising via a dedicated website, which can be reached by clicking the overlaid AdChoices icons on ads. We examine the real-world uptake of AdChoices using transaction data from an ad exchange. Though consumers express strong privacy concerns in surveys, we find that only 0.23% of American ad impressions arise from users who opted out of online behavioral advertising. We also find that opt-out user ads fetch 52% less revenue on the exchange than comparable ads for users who allow behavioral targeting. These findings are broadly consistent with evidence from the European Union and Canada, where industry subsequently implemented the AdChoices program. We calculate that the inability to behaviorally target opt-out users results in a loss of about $8.58 in ad spending per American opt-out consumer, which is borne by publishers and the exchange. We find that opt-out users tend to be more technologically sophisticated, though opt-out rates are also higher in older and wealthier American cities. These results inform the privacy policy discussion by illuminating the real-world consequences of an opt-out privacy mechanism. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
5. Network Effects in Alternative Fuel Adoption: Empirical Analysis of the Market for Ethanol.
- Author
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Shriver, Scott K.
- Subjects
NETWORK effect ,ETHANOL ,SOCIAL networks ,FUEL quality ,POWER resources - Abstract
This paper investigates the importance of network effects in the demand for ethanol-compatible vehicles and the supply of ethanol fuel. An indirect network effect, or positive feedback loop, arises in this context due to spatially-dependent complementarities in the availability of ethanol fuel and the installed base of ethanolcompatible vehicles. Marketers and social planners are interested in whether these effects exist, and if so, how policy might accelerate adoption of the ethanol fuel standard within a targeted population. To measure these feedback effects, I develop an econometric framework that considers the simultaneous determination of ethanolcompatible vehicle demand and ethanol fuel supply in local markets. The demand-side model considers the automobile purchase decisions of consumers and fleet operators; the supply-side model considers the ethanol market entry decisions of competing fuel retailers. The framework extends extant market entry models by endogenizing the market size shifting fuel retailer profits. I estimate the model using zip code panel data from four states over a nine-year period. The model estimates provide evidence of a network effect. Under typical market conditions, entry of an additional ethanol fuel retailer leads to a 6% increase in the probability of ethanolcompatible vehicle purchase. The entry model estimates imply that the first entrant requires a local installed base of approximately 300 ethanol-compatible vehicles to be profitable. As an application, I demonstrate that subsidizing fuel retailers to offer ethanol in selective geographic markets can be an effective policy to indirectly increase ethanol-compatible vehicle sales. [ABSTRACT FROM AUTHOR]
- Published
- 2015
- Full Text
- View/download PDF
6. Social Ties and User-Generated Content: Evidence from an Online Social Network.
- Author
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Shriver, Scott K., Nair, Harikesh S., and Hofstetter, Reto
- Subjects
ONLINE social networks ,USER-generated content ,WINDSURFING ,SOCIAL belonging ,HOMOPHILY theory (Communication) ,STATISTICAL correlation ,ENDOGENEITY (Econometrics) ,OPERATIONAL definitions ,MOTIVATION (Psychology) - Abstract
We exploit changes in wind speeds at surfing locations in Switzerland as a source of variation in users' propensity to post content about their surfing activity on an online social network. We exploit this variation to test whether users' online content-generation activity is codetermined with their social ties. Economically significant effects of this type can produce positive feedback that generates local network effects in content generation. When quantitatively significant, the increased content and tie density arising from the network effect induces more visitation and browsing on the site, which fuels growth by generating advertising revenue. We find evidence consistent with such network effects. [ABSTRACT FROM AUTHOR]
- Published
- 2013
- Full Text
- View/download PDF
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