Resources by Lisa

Creators: Open Science Framework (OSF)

This dataset, hosted on the Open Science Framework (OSF), contains the replication data for the study “‘It Could Be Better’ Can Make It Worse: When and Why People Mistakenly Communicate Upward Counterfactual Information” (Li, Hsee & O’Brien, 2023, Journal of Marketing Research). It includes experimental data used to examine when and why people mistakenly share upward counterfactual information, i.e., statements about how things could have been better, in interpersonal communication, and the unintended negative consequences this has on how recipients evaluate outcomes and experiences.

Creators: Statista

Statista provides data on the U.S. market share of major automobile manufacturers, tracking the competitive landscape of the American car market over time. The data covers leading brands including domestic and international automakers and is updated regularly.

Creators: Endata

Endata is a leading Chinese entertainment data platform providing comprehensive box office data, film production statistics, and market analytics for the Chinese movie industry. It covers domestic and international film releases, cinema chain performance, and audience data across China.

Federal Procurement Data System (FPDS) – U.S. Government Contract Data

Creators: U.S. General Services Administration (GSA)
Publication Date: /
Creators: U.S. General Services Administration (GSA)

The Federal Procurement Data System (FPDS) is the U.S. government’s central repository for federal contracting data, providing detailed information on all federal procurement actions above the micro-purchase threshold. It covers contract awards, modifications, vendors, agencies, dollar amounts, and contract types across all federal departments and agencies.

U.S. and Global Movie Box Office Revenue Data

Creators: Box Office Mojo (IMDb/Amazon)
Publication Date: 2026
Creators: Box Office Mojo (IMDb/Amazon)

Box Office Mojo provides comprehensive data on movie box office revenues at the domestic (U.S.) and international level, including weekly and cumulative gross earnings, release dates, theatre counts, and distributor information. It is widely used in marketing and entertainment research to analyse film performance and the impact of promotional activities.

Replication Data: Intransitivity of Consumer Preferences for Privacy

Creators: Open Science Framework (OSF)
Publication Date: 2022-08-11
Creators: Open Science Framework (OSF)

This dataset, hosted on the Open Science Framework (OSF), contains the replication data for the study “Intransitivity of Consumer Preferences for Privacy” (Tomaino, Wertenbroch & Walters, 2023, Journal of Marketing Research). It includes experimental and survey data used to examine whether consumer privacy preferences are intransitive, i.e., whether individuals’ rankings of privacy trade-offs are inconsistent and context-dependent, with implications for how firms and policymakers design privacy choice architectures and data-sharing agreements.

Creators: Open Science Framework (OSF)

This dataset, hosted on the Open Science Framework (OSF), contains the replication data for the study “The Value of Genetic Data in Predicting Preferences: A Study of Food Taste” (Daviet & Nave, 2024, Journal of Marketing Research). It includes genetic and survey data used to examine the extent to which genetic information can predict individual food taste preferences, exploring implications for personalised marketing and consumer research methodologies that leverage genomic data.

U.S. HUD Office of Policy Development and Research (PD&R) – Housing and Urban Development Data

Creators: U.S. Department of Housing and Urban Development (HUD) – Office of Policy Development and Research
Publication Date: 2026
Creators: U.S. Department of Housing and Urban Development (HUD) – Office of Policy Development and Research

The U.S. Department of Housing and Urban Development’s Office of Policy Development and Research (PD&R) provides data and research on housing markets, urban development, and community development programmes across the United States. Its datasets cover housing affordability, rental markets, homelessness, and community characteristics.

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