{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T04:35:18Z","timestamp":1787027718368,"version":"build-2736575974"},"reference-count":98,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T00:00:00Z","timestamp":1773878400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["72402215"],"award-info":[{"award-number":["72402215"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Philosophy and Social Science Foundation of Zhejiang Province of China","award":["26NDJC037YBMS"],"award-info":[{"award-number":["26NDJC037YBMS"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Behavioral Sciences"],"abstract":"<jats:p>Although previous studies have examined factors influencing organizational appeal, how AI-adoption signals influence prospective applicants remains unclear. Building on signaling theory, this study explores whether, when, and how organizations\u2019 AI-adoption signals enhance their attractiveness to potential applicants. Two experiments were conducted to test the hypothesized model. Study 1 (N = 145) employed a scenario-based design to compare organizational attractiveness between AI-adoption signal and no-signal conditions, confirming that AI-adoption signals are significantly positively associated with organizational attractiveness. Study 2 (N = 240) recruited active job seekers and validated a moderated mediation model: perceived innovation ability mediates the positive association between AI-adoption signals and organizational attractiveness, especially among job seekers with high AI self-efficacy. By conceptualizing AI adoption as an organizational signal, this research extends signaling theory to the context of technology-infused recruitment and offers practical insights for designing more effective recruitment strategies in the digital era.<\/jats:p>","DOI":"10.3390\/bs16030455","type":"journal-article","created":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T12:49:24Z","timestamp":1773924564000},"page":"455","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Signaling Organizational Artificial Intelligence Adoption in Recruitment Materials: Role of Perceived Innovation Ability in Organizational Attractiveness"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9792-6157","authenticated-orcid":false,"given":"Jialin","family":"Cheng","sequence":"first","affiliation":[{"name":"School of Economics and Management, Zhejiang Sci-Tech University, Hangzhou 310018, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5511-1160","authenticated-orcid":false,"given":"Shunhong","family":"Ji","sequence":"additional","affiliation":[{"name":"School of Business, Jishou University, No. 120 Renmin South Road, Jishou 416000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,3,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1177\/1094428114547952","article-title":"Best practice recommendations for designing and implementing experimental vignette methodology studies","volume":"17","author":"Aguinis","year":"2014","journal-title":"Organizational Research Methods"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"754","DOI":"10.4236\/ojs.2015.57075","article-title":"Variance inflation factor: As a condition for the inclusion of suppressor variable(s) in regression 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