这是 IS Research Push 的第一篇长报告测试稿。报告的采集数字来自本地 Crossref 增量采集审计；主题信号和重点论文来自已保存的题名、期刊、DOI 和摘要状态。当前 RSS 采集层没有持久化原始摘要，因此凡涉及研究机制、识别策略、实证结果或创新贡献的判断，均只使用题名能支持的最低限度信息，并明确标为“题名信号”或“待摘要/全文复核”。这不是完整全文综述，也不把关键词命中当作因果证据。
本期按配置检查了 15 个启用期刊：MIS Quarterly、Information Systems Research、Journal of Management Information Systems、Management Science、Journal of Operations Management、Production and Operations Management、Manufacturing & Service Operations Management、Academy of Management Journal、Organization Science、PNAS、Nature Human Behaviour、Science Advances、Academy of Management Review、Academy of Management Annals 和 Organizational Research Methods。Nature Communications 当前仍按配置停用，没有纳入本期数量。
Crossref 共发起 28 次串行请求，全部查询完成。跨期刊、跨电子/纸质 ISSN 合并后，共获得 328 条唯一 DOI 记录，首次发现 328 条；规则预筛选后有 182 条进入研究候选集合。摘要状态缺失 40 条，按全部取回记录计算，摘要覆盖率为 87.8%；这不是“182 条候选论文的摘要覆盖率”，因为当前审计文件记录的是本轮取回记录口径，未单独保存候选子集的摘要分母。
| 期刊 | 取回唯一记录 | 规则候选 | 本轮缺摘要 | 查询失败 | |---|---:|---:|---:|---:| | MIS Quarterly | 22 | 22 | 1 | 0 | | Information Systems Research | 2 | 2 | 0 | 0 | | Journal of Management Information Systems | 12 | 10 | 12 | 0 | | Management Science | 45 | 44 | 1 | 0 | | Journal of Operations Management | 6 | 5 | 3 | 0 | | Production and Operations Management | 30 | 30 | 0 | 0 | | Manufacturing & Service Operations Management | 2 | 2 | 0 | 0 | | Academy of Management Journal | 1 | 1 | 1 | 0 | | Organization Science | 3 | 3 | 0 | 0 | | PNAS | 105 | 30 | 18 | 0 | | Nature Human Behaviour | 5 | 1 | 4 | 0 | | Science Advances | 88 | 26 | 0 | 0 | | Academy of Management Review | 0 | 0 | 0 | 0 | | Academy of Management Annals | 0 | 0 | 0 | 0 | | Organizational Research Methods | 7 | 6 | 0 | 0 |
每个 ISSN 查询都满足 Crossref 返回总数、实际接收条数和查询内 DOI 去重数一致；审计中的 `missing_minimum=0` 只表示相对于本次 Crossref 查询窗口没有被程序识别出的分页遗漏，不表示出版商世界中的绝对全集已经被证明完整。双 ISSN 的期刊不能把两次相同的 Crossref 总数相加。
从题名层面的本期信号看，最值得关注的不是“AI”这个词本身，而是 AI 正在同时进入三个相互连接的研究对象：组织与平台中的治理安排、人机协作中的判断与信任、以及研究方法和知识生产过程本身。与此同时，用户贡献、平台可见性、在线社区和数据共享仍然是信息系统研究中较稳定的行为场景。运营管理期刊则提供了大量可迁移的决策、网络、因果图和算法设计语言，但其中不少论文更偏优化或分析建模，不能直接视为用户行为的实证证据。
这个判断是对题名分布的模型归纳，不是对全部 182 条候选论文摘要的实质性审阅。特别是 PNAS 和 Science Advances 取回数量较大，规则预筛选仍会保留部分与社会科学兴趣只存在表面词汇联系的 benchmark 论文；它们不应被当作本期管理/IS趋势的直接证据。
以下排序是基于题名、期刊、已知 article-type 线索和你的研究兴趣的初筛，不是对全文贡献的最终排序：
1. FAIR: A Design Theory for Artificial Intelligence Fairness：直接连接 AI 公平、理论/框架设计和算法治理。 2. The Uneven Impact of Generative Artificial Intelligence on Entrepreneurial Performance: Evidence from a Field Experiment in Kenya：题名明确为现场实验，适合追踪 AI 暴露的异质性与外部情境。 3. Stimulating Feedback Contributions Using Digital Nudges: A Field Experiment in a Real-Time Mobile Feedback Platform：直接连接用户行为、平台干预与实验识别。 4. Dynamics of Openness on Mobile Platforms: Understanding the Impact of Third-Party Apps’ User Data Sharing：连接平台治理、隐私、数据共享和用户/开发者生态。 5. Collaboration Patterns Between Humans and Bots in an Online Knowledge Community: The Influence of Resources and Dependencies：连接 bot 身份、在线社区、资源依赖和用户贡献；摘要缺失，优先补摘要。 6. Will machines take over? Algorithms for human–machine collaborative decision making in healthcare：连接算法设计、人机协作和高风险决策；方法与结果待摘要复核。 7. A practical guide to causal inference in healthcare operations using single-world intervention graphs (SWIGs)：对因果图和识别策略具有方法参考价值，但场景迁移需要谨慎。 8. Trustworthiness in Computational Theory Construction: Dimensionalization and Category Surfacing：连接计算化理论构建、测量和可信度，可能适合方法/理论基础复核。
本期 benchmark 池取回了大量 PNAS 和 Science Advances 记录。部分题名虽然含有 AI、algorithm、behavior 或 network，但明显属于生物、物理、化学或医学基础研究。例如 *Alternative genetic codes in bacteria and archaea identified with a fast k-mer–based algorithm*、*Direct imaging Berry curvature–induced transport...* 和 *A systematic comparison of single-cell perturbation response prediction models*，不能因为出现 algorithm、behavior 或 model 就当作算法民主、用户行为或管理研究证据。它们可以作为计算方法的远端比较材料，但不进入本期高相关结论。
同样，Management Science、POM 和 MSOM 中的优化、库存、排程、金融或供应链网络论文数量不少。它们对算法设计、网络建模和决策理论有潜在迁移价值，但除非摘要明确包含组织、用户、平台或治理机制，本报告不把它们写成用户行为实证证据，也不统计或推断单篇论文的实验数量。
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