HEC Montréal marketing researcher on how agentic LLM shoppers deploy human heuristics and bias in AI-mediated commerce
2
papers here
1
reviewed by Evolve
2
first-author
0
corresponding
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works · OpenAlex
1
h-index · OpenAlex
Bibliometric figures come from OpenAlex (2026-09-28) and cover the author's entire public record, not just the papers listed here. Reproducibility signal comes from Evolve's own reviews.
Research profile
Output—
Not scored: the snapshot lacks a sufficient publication-volume record (the provided year counts list only 10 indexed works in total, with an h-index of 1). This axis would measure total scholarly output, its growth trajectory, and diversity of publication venues.
Impact—
Not scored: citation signals are too thin at this stage (h-index 1, i10-index 0). This axis would measure citation-based influence, including citation counts, h-index trajectory, and uptake of the 2026 preprints once peer-reviewed versions appear.
Focus100/100
Scored 100/100: OpenAlex topic counts show near-total concentration — AI in Service Interactions (4 works), Ethics and Social Impacts of AI (3), and Topic Modeling (2) — and the single coded field is marketing and business ethics in AI-mediated commerce. Both cataloged papers sit squarely on AI shopping agents, indicating a tightly defined agenda rather than scattered output.
Collaboration22/100
Scored 22/100, reflecting a small early-stage network: only 2 distinct coauthors appear in the OpenAlex record, with Yu Ma the most frequent collaborator. Both cataloged papers are first-authored but not corresponding, consistent with driving hands-on empirical work within a small team; this axis should rise as the dense 2026 pipeline matures.
Activity64/100
Scored 64/100: the recent-3-year record shows 8 works, and the yearly counts turn sharply upward — 1 indexed work each in 2011, 2023 and 2025 versus 7 in 2026, including two first-authored arXiv preprints. This points to a currently active, accelerating publication rhythm concentrated in the current year.
Reproducibility55/100
Scored 55/100, computed from a single scored paper (mean 55). Evolve's readiness ratings for the two 2026 preprints are high ("Shopping by algorithm", backed by credible large-scale process-tracing evidence) and medium (the sponsorship-bias study, a well-powered multi-model result from one domain). With more papers scored, this transparency signal should firm up.
Research summary
Davood Wadi is a marketing researcher at HEC Montréal (Canada) working at the intersection of consumer behavior, business ethics, and AI-mediated commerce. This profile draws on an OpenAlex bibliographic record plus two first-authored 2026 arXiv preprints reviewed by Evolve. Both papers use large language models as experimental subjects: "Shopping by algorithm" finds that agentic AI shoppers deploy human heuristics such as just-below pricing sensitivity, but that pricing cues mislead them mainly when search is costly and prompts are vague; "Whom Do AI Agents Work For?" finds that role assignment induces sponsorship bias, weakening the sponsorship penalty when the platform rather than the consumer is the agent's principal. The OpenAlex topic profile is highly concentrated — AI in Service Interactions (4), Ethics and Social Impacts of AI (3), and Topic Modeling (2) — and the radar assigns focus the maximum score of 100. Output is recent and accelerating: 8 works in the last three years, with 7 indexed in 2026 versus 1 in 2025. Citation-based indicators remain early-stage (h-index 1, i10-index 0), so output and impact are left unscored. Collaboration is narrow: 2 distinct coauthors, with Yu Ma the most frequent.
Collaboration pattern
The OpenAlex record lists only 2 distinct coauthors, with Yu Ma appearing as the most frequent collaborator. Both Evolve-cataloged papers are first-authored but not corresponding, consistent with driving hands-on empirical work within a small team. The collaboration radar score of 22/100 reflects this narrow early-stage network — a scale limitation rather than a quality signal — and the dense 2026 output suggests the network is actively expanding.
Research keywords
Highlights
Shopping by algorithm: agentic AI shoppers inherit human pricing heuristics
Whom do AI agents work for? Role assignment induces sponsorship bias
Timeline
- 2011Earliest indexed work in the OpenAlex record appears (1 work in 2011), followed by a long gap before the current AI-agents research line.
- 2023A single indexed work in 2023 precedes the current phase of experimental work on AI shopping agents.
- 2025Output resumes with 1 indexed work, setting up an accelerating 2026.
- 2026Most active year on record: 7 indexed works, including two first-authored arXiv preprints — one on agentic AI deploying human shopping heuristics, one on role-assignment-induced sponsorship bias in LLM recommenders.
Papers in the Evolve catalog
Frequent co-authors
About this profile
This profile is AI-structured by Evolve.Pub from public bibliographic data (OpenAlex) and Evolve's own paper reviews. It is not written or endorsed by the researcher unless the profile is claimed. Radar dimensions are computed from real bibliometrics with fixed formulas — raw figures are shown alongside; missing dimensions mean insufficient data, never zero. Errors? Claim the profile to correct or hide it.
- All bibliometric indicators (h-index, topics, yearly counts, coauthor counts) come from an OpenAlex identity profile and may undercount output or conflate namesakes.
- Output and impact dimensions are unscored because citation data is insufficient at the snapshot (h-index 1, i10-index 0).
- Both cataloged papers are 2026 arXiv preprints; peer-reviewed venue acceptance is not yet reflected in this profile.
- The reproducibility score is computed from a single scored paper (reproPapers: 1), so it should be read as indicative only.