Reference health

The Value of External Data for Digital Platforms: Evidence from a Field Experiment on Search Suggestions

https://doi.org/10.2139/ssrn.4452804
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28/28 checkable references clean · checked 2026-08-07

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

34 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 28 checked references that resolve
resolves10.1093/restud/rdac056
Data-intensive Innovation and the State: Evidence from AI Firms in China
resolves10.1561/1500000055
A Survey of Query Auto Completion in Information Retrieval
resolves10.1287/mksc.2021.1335
The Value of Verified Employment Data for Consumer Lending: Evidence from Equifax
resolves10.1039/an9941902363
Is my calibration linear?
resolves10.1145/2959100.2959190
Deep Neural Networks for YouTube Recommendations
resolves10.1145/3219819.3219919
Applying the Delta Method in Metric Analytics
resolves10.3386/w32099
Platform Information Provision and Consumer Search: A Field Experiment
resolves10.1287/mksc.2022.1413
Close Enough? A Large-Scale Exploration of Non-Experimental Approaches to Advertising Measurement
resolves10.5465/amj.2006.22083026
The Interplay Between Exploration and Exploitation
resolves10.1111/1756-2171.12453
Data‐enabled learning, network effects, and competitive advantage
resolves10.1177/002224377901600307
Advertising and the S-Curve: A New Approach
resolves10.1145/2487575.2488217
Online controlled experiments at large scale
resolves10.1145/2523817
Aggregated search
resolves10.17705/1jais.00706
The Building Blocks of Software Platforms: Understanding the Past to Forge the Future
resolves10.1287/opre.27.4.629
Feature Article—Aggregate Advertising Models: The State of the Art
resolves10.1287/mnsc.2020.3878
<scp>T</scp>he <scp>P</scp>rivate <scp>I</scp>mpact of <scp>P</scp>ublic <scp>D</scp>ata: <scp>L</scp>andsat <scp>S</scp>atellite <scp>M</scp>aps <scp>I</scp>ncreased <scp>G</scp>old <scp>D</scp>iscoveries and <scp>E</scp>ncouraged <scp>E</scp>ntry
resolves10.1287/orsc.1100.0628
Impact of Growth Opportunities and Competition on Firm-Level Capability Development Trade-offs
resolves10.1016/j.infoecopol.2023.101063
Complementarities in learning from data: Insights from general search
resolves10.1287/mnsc.2023.4828
The Value of Personal Data in Internet Commerce: A High-Stakes Field Experiment on Data Regulation Policy
resolves10.1145/1835804.1835810
Overlapping experiment infrastructure
resolves10.1287/mksc.2017.1072
The Power of Rankings: Quantifying the Effect of Rankings on Online Consumer Search and Purchase Decisions
resolves10.1145/2783258.2788602
From Infrastructure to Culture
resolves10.1287/mksc.2021.0292
Advertising as Information for Ranking E-Commerce Search Listings
resolves10.1287/mnsc.2018.3255
Search Personalization Using Machine Learning
resolves10.1007/978-3-319-58451-5_11
smartAPI: Towards a More Intelligent Network of Web APIs
resolves10.1007/s10796-016-9711-5
Open data value capability architecture
resolves10.1515/9781400829828
Mostly Harmless Econometrics
resolves10.1287/mnsc.1110.1408
Cyclical Bid Adjustments in Search-Engine Advertising
The 34 references without a DOI — listed, not checked
no DOI — not checkedref1
no DOI — not checkedref2
no DOI — not checkedScrapir: making web data apis accessible to end users
no DOI — not checkedHow apis create growth by inverting the firm
no DOI — not checkedWhy real-time data pipelines are so hard
no DOI — not checkedref8
no DOI — not checkedSearch engines and data retention: Implications for privacy and antitrust
no DOI — not checkedref14
no DOI — not checkedMeasuring consumer sensitivity to audio advertising: A field experiment on pandora internet radio
no DOI — not checkedPersonalizing ad load to optimize subscription and ad revenues: Product strategies constructed from experiments on pandora
no DOI — not checkedref18
no DOI — not checkedref20
no DOI — not checkedTech-enabled financial data access, retail investors, and gambling-like behavior in the stock market
no DOI — not checkedref24
no DOI — not checkedHow important are user-generated data for search result quality? experimental evidence
no DOI — not checkedref29
no DOI — not checkedEconomic "short-termism": The debate, the unresolved issues, and the implications for management practice and research
no DOI — not checkedQuery auto-completion for rare prefixes
no DOI — not checkedA/b testing for recommender systems in a two-sided marketplace
no DOI — not checkedref36
no DOI — not checkedA neural language model for query auto-completion
no DOI — not checkedThe editor and the algorithm: Recommendation technology in online news
no DOI — not checkedAmbiguous queries: test collections need more sense
no DOI — not checkedref41
no DOI — not checkedBuilding end-to-end dialogue systems using generative hierarchical neural network models
no DOI — not checkedref44
no DOI — not checkedHow Google autocomplete works in Search
no DOI — not checkedref48
no DOI — not checkedEstimating the value of offsite data to advertisers on meta
no DOI — not checkedref52
no DOI — not checkedref55
no DOI — not checkedref58
no DOI — not checkedRecommending what to search: Sales volume and consumption diversity effects of a query recommender system
no DOI — not checkedHow apis create growth by inverting the firm
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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