{"title":"Analyzing Academy of Management Journal Operations with Artifical Intelligence (2006–2022)","authors":"Marc Gruber","doi":"10.5465/amj.2025.4001","DOIUrl":null,"url":null,"abstract":"Academy of Management Journal, Volume 68, Issue 1, Page 1-10, February 2025. <br/>","PeriodicalId":6975,"journal":{"name":"Academy of Management Journal","volume":"42 1","pages":""},"PeriodicalIF":9.5000,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Academy of Management Journal","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.5465/amj.2025.4001","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
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Abstract
Academy of Management Journal, Volume 68, Issue 1, Page 1-10, February 2025.
期刊介绍：
The mission of the Academy of Management Journal (AMJ) is to disseminate empirical research that rigorously tests, extends, or constructs management theory while enhancing management practice. The journal welcomes diverse empirical methods, including qualitative, quantitative, field, laboratory, meta-analytic, and mixed methods. For publication in AMJ, research must exhibit robust empirical and theoretical contributions, with manuscripts emphasizing the practical relevance of these contributions to management practice. Authors are encouraged to craft original, insightful, interesting, and theoretically bold research that makes a substantial "value-added" contribution to the field's comprehension of a given issue or topic.
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