{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T10:36:44Z","timestamp":1774003004541,"version":"3.50.1"},"reference-count":30,"publisher":"Institute for Operations Research and the Management Sciences (INFORMS)","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Operations Research"],"published-print":{"date-parts":[[2026,3]]},"abstract":"<jats:p>Boosting Profits of Trade-in Programs Through Smarter Pricing<\/jats:p>\n                  <jats:p>As electronics trade-in programs expand worldwide, firms face complex pricing challenges: quoting offers instantly while managing vast product varieties and uncertain demand. In the article \u201cDynamic pricing for a multiproduct consumer electronics trade-in program\u201d in Operations Research, the authors address this challenge and present effective solutions. The study develops pricing policies that determine both trade-in offers and resale prices over time to maximize profits. It first introduces a static pricing approach and proves that it performs nearly optimally; then, it further proposes a dynamic \u201cbatched-adjustment\u201d policy that adapts to demand uncertainty and delivers an improved profit performance. Numerical experiments confirm the advantages of these methods. By demonstrating simple yet powerful strategies with provable effectiveness, the research offers firms actionable tools to increase profitability in trade-in operations.<\/jats:p>","DOI":"10.1287\/opre.2022.0268","type":"journal-article","created":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T16:36:35Z","timestamp":1760114195000},"page":"615-631","source":"Crossref","is-referenced-by-count":0,"title":["Dynamic Pricing for a Multiproduct Consumer Electronics Trade-in Program"],"prefix":"10.1287","volume":"74","author":[{"ORCID":"https:\/\/linproxy.fan.workers.dev:443\/https\/orcid.org\/0009-0008-0062-8339","authenticated-orcid":false,"given":"Zhuoluo","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Management, Xiamen University, Xiamen 361005, China"}]},{"ORCID":"https:\/\/linproxy.fan.workers.dev:443\/https\/orcid.org\/0000-0003-2292-7336","authenticated-orcid":false,"given":"Yanzhe (Murray)","family":"Lei","sequence":"additional","affiliation":[{"name":"Stephen J. 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Smith School of Business, Queen\u2019s University, Kingston, Ontario K7L 3N6, Canada"}]},{"ORCID":"https:\/\/linproxy.fan.workers.dev:443\/https\/orcid.org\/0000-0001-5314-2676","authenticated-orcid":false,"given":"Sean X.","family":"Zhou","sequence":"additional","affiliation":[{"name":"CUHK Business School, The Chinese University of Hong Kong, Shatin, Hong Kong"}]}],"member":"109","reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.1100.1178"},{"key":"B2","doi-asserted-by":"publisher","DOI":"10.3401\/poms.1080.0051"},{"key":"B3","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.2019.3365"},{"key":"B4","doi-asserted-by":"publisher","DOI":"10.1111\/poms.12295"},{"key":"B5","doi-asserted-by":"publisher","DOI":"10.1287\/msom.2018.0769"},{"key":"B6","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.2015.2238"},{"key":"B7","doi-asserted-by":"publisher","DOI":"10.1287\/opre.2022.2425"},{"key":"B8","doi-asserted-by":"publisher","DOI":"10.1287\/msom.1080.0221"},{"key":"B9","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.49.10.1287.17315"},{"key":"B10","doi-asserted-by":"publisher","DOI":"10.1287\/opre.2022.0275"},{"key":"B11","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.40.8.999"},{"key":"B12","doi-asserted-by":"publisher","DOI":"10.1287\/opre.45.1.24"},{"key":"B13","unstructured":"Ghuloum M, Aydin G, Souza G (2015) Optimal dynamic pricing for trade-in programs. 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