管理学最新文献

{"title":"Generating synthetic electronic health record data: a methodological scoping review with benchmarking on phenotype data and open-source software.","authors":"Xingran Chen, Zhenke Wu, Xu Shi, Hyunghoon Cho, Bhramar Mukherjee","doi":"10.1093/jamia/ocaf082","DOIUrl":"https://doi.org/10.1093/jamia/ocaf082","url":null,"abstract":"<p><strong>Objectives: </strong>To conduct a scoping review (ScR) of existing approaches for synthetic Electronic Health Records (EHR) data generation, to benchmark major methods, and to provide an open-source software and offer recommendations for practitioners.</p><p><strong>Materials and methods: </strong>We search three academic databases for our scoping review. Methods are benchmarked on open-source EHR datasets, Medical Information Mart for Intensive Care III and IV (MIMIC-III/IV). Seven existing methods covering major categories and two baseline methods are implemented and compared. Evaluation metrics concern data fidelity, downstream utility, privacy protection, and computational cost.</p><p><strong>Results: </strong>Forty-eight studies are identified and classified into five categories. Seven open-source methods covering all categories are selected, trained on MIMIC-III, and evaluated on MIMIC-III or MIMIC-IV for transportability considerations. Among them, Generative Adversarial Network (GAN)-based methods demonstrate competitive performance in fidelity and utility on MIMIC-III, rule-based methods excel in privacy protection. Similar findings are observed on MIMIC-IV, except that GAN-based methods further outperform the baseline methods in preserving fidelity.</p><p><strong>Discussion: </strong>Method choice is governed by the relative importance of the evaluation metrics in downstream use cases. We provide a decision tree to guide the choice among the benchmarked methods. An extensible Python package, \"SynthEHRella\", is provided to facilitate streamlined evaluations.</p><p><strong>Conclusion: </strong>GAN-based methods excel when distributional shifts exist between the training and testing populations. Otherwise, CorGAN and MedGAN are most suitable for association modeling and predictive modeling, respectively. Future research should prioritize enhancing fidelity of the synthetic data while controlling privacy exposure, and comprehensive benchmarking of longitudinal or conditional generation methods.</p>","PeriodicalId":50016,"journal":{"name":"Journal of the American Medical Informatics Association","volume":" ","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144217409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction to Article “What Is a Sustainable Company?”","authors":"","doi":"10.1002/bse.70012","DOIUrl":"https://doi.org/10.1002/bse.70012","url":null,"abstract":"","PeriodicalId":9518,"journal":{"name":"Business Strategy and The Environment","volume":"4 1","pages":""},"PeriodicalIF":13.4,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144202178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Navigating the EU Corporate Sustainability Due Diligence Directive: How Multinational Enterprises Approach Regulatory Familiarization in the Chocolate Sector","authors":"Manuel Kiewisch","doi":"10.1111/rego.70042","DOIUrl":"https://doi.org/10.1111/rego.70042","url":null,"abstract":"Adopted in 2024, the EU Corporate Sustainability Due Diligence Directive (EUCS3D, alternatively EUCSDDD) instructs member states to regulate human rights and environmental due diligence across business operations and their global value chains. Businesses started to familiarize themselves with the new directive to develop future compliance strategies. Despite its importance, the familiarization process has received little attention in research. Through interviews with employees and legal intermediaries, this paper investigates how multinational enterprises in the chocolate sector experienced this process. Drawing from socio‐legal theory, the findings show that business behavior adapts to shifts in regulatory governance that underpin key concepts of the EUCS3D, such as <jats:italic>due diligence</jats:italic>. Although the impact of those changes on the rights situation across global value chains remains uncertain, this paper contributes valuable insights for governance and compliance research. For practitioners, it underlines the importance of reliable transposition of rules for business, of multi‐partite negotiation in compliance‐relevant processes, and that appropriate regulatory governance may ease resistance to new regulation in interplay with business and global value chain context.","PeriodicalId":21026,"journal":{"name":"Regulation & Governance","volume":"7 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144202185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Generative AI for decision-making: A multidisciplinary perspective","authors":"Mousa Albashrawi","doi":"10.1016/j.jik.2025.100751","DOIUrl":"10.1016/j.jik.2025.100751","url":null,"abstract":"<div><div>Generative artificial intelligence (GenAI) is rapidly reshaping decision-making across multiple domains, including health, law, business, education, and tourism. This study synthesizes the fragmented research on GenAI to provide a comprehensive framework for understanding its role in enhancing decision-making accuracy, efficiency, and personalization. Employing a systematic literature review and thematic analysis, this study categorizes diverse applications, from clinical diagnostics and legal reasoning to financial advisement and educational support, highlighting both innovative practices and persistent challenges. The analysis of 101 articles reveals that, while GenAI significantly improves data processing and decision support, mitigating issues such as inherent bias, misinformation, and transparency deficits requires careful attention. The integration of multi-agent frameworks and human oversight is critical for ensuring ethical and reliable outcomes. Ultimately, this synthesis highlights the transformative potential of GenAI as a decision-making tool by presenting a cross-disciplinary framework that reveals its impact and uncovers gaps across various domains. The study also advocates the development of robust regulatory and technological strategies to harness the benefits and address the limitations of GenAI.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 4","pages":"Article 100751"},"PeriodicalIF":15.6,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144203417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From visuals to value: leveraging generative AI to explore the economic implications of movie poster","authors":"Youngjun Kim ,&nbsp;Hye-Jin Kim ,&nbsp;Keeyeon Ki-cheon Park","doi":"10.1016/j.jbusres.2025.115498","DOIUrl":"10.1016/j.jbusres.2025.115498","url":null,"abstract":"<div><div>This study introduces a novel exploration into the impact of visual elements on consumer behavior in the film industry, utilizing generative AI. By employing expectancy violations theory, this study examines how the mood and tone suggested by movie posters—a key visual advertising tool—contrast with the actual content of the films, revealing a significant influence on consumer decisions. Through feature extraction from movie posters using generative AI and regression model analysis, this study demonstrates that deviations from audience expectations, as suggested by movie posters, positively affect box office performance. However, this impact varies depending on whether the movie is produced by major or non-major studios, with major studio productions benefiting more from mood and tone congruence. This study extends existing literature by highlighting the role of visual cues in movie posters and offers practical insights for movie marketers using expectancy violations to enhance audience engagement and box office performance.</div></div>","PeriodicalId":15123,"journal":{"name":"Journal of Business Research","volume":"198 ","pages":"Article 115498"},"PeriodicalIF":10.5,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144204037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of workplace bullying on intrusive thoughts and ideation of anti-corporate activities: A function of hotel workers’ distress and emotion regulation","authors":"Seongseop (Sam) Kim ,&nbsp;Amare Yaekob Chiriko ,&nbsp;Wei Quan ,&nbsp;Jongsik Yu ,&nbsp;Heesup Han","doi":"10.1016/j.ijhm.2025.104320","DOIUrl":"10.1016/j.ijhm.2025.104320","url":null,"abstract":"<div><div>This study examines the psychological effects of workplace bullying in the hospitality industry, focusing on its role in triggering intrusive thoughts and anti-corporate ideation among hotel employees. A mixed-methods approach was used: qualitative interviews with industry experts informed the development of context-specific bullying indicators, followed by a quantitative survey of 416 hotel employees in China. Structural equation modeling revealed that verbal abuse and discriminatory treatment significantly increased feelings of loneliness, which in turn led to intrusive thoughts and anti-corporate attitudes. While distress tolerance and emotion regulation moderated the effects of alienation and discrimination on loneliness, they had no buffering effect on verbal abuse. The findings emphasize the psychological mechanisms underlying employee responses to bullying and contribute to both social exchange theory and practical interventions aimed at promoting emotional resilience and safer workplace environments in the hospitality sector.</div></div>","PeriodicalId":48444,"journal":{"name":"International Journal of Hospitality Management","volume":"131 ","pages":"Article 104320"},"PeriodicalIF":9.9,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144204183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dynamic few-shot prompting for clinical note section classification using lightweight, open-source large language models.","authors":"Kurt Miller, Steven Bedrick, Qiuhao Lu, Andrew Wen, William Hersh, Kirk Roberts, Hongfang Liu","doi":"10.1093/jamia/ocaf084","DOIUrl":"https://doi.org/10.1093/jamia/ocaf084","url":null,"abstract":"<p><strong>Objective: </strong>Unlocking clinical information embedded in clinical notes has been hindered to a significant degree by domain-specific and context-sensitive language. Identification of note sections and structural document elements has been shown to improve information extraction and dependent downstream clinical natural language processing (NLP) tasks and applications. This study investigates the viability of a dynamic example selection prompting method to section classification using lightweight, open-source large language models (LLMs) as a practical solution for real-world healthcare clinical NLP systems.</p><p><strong>Materials and methods: </strong>We develop a dynamic few-shot prompting approach to classifying sections where section samples are first embedded using a transformer-based model and deposited in a vector store. During inference, the embedded samples with the most similar contextual embeddings to a given input section text are retrieved from the vector store and inserted into the LLM prompt. We evaluate this technique on two datasets comprising two section schemas, including varying levels of context. We compare the performance to baseline zero-shot and randomly selected few-shot scenarios.</p><p><strong>Results: </strong>The dynamic few-shot prompting experiments yielded the highest F1 scores in each of the classification tasks and datasets for all seven of the LLMs included in the evaluation, averaging a macro F1 increase of 39.3% and 21.1% in our primary section classification task over the zero-shot and static few-shot baselines, respectively.</p><p><strong>Discussion and conclusion: </strong>Our results showcase substantial performance improvements imparted by dynamically selecting examples for few-shot LLM prompting, and further improvement by including section context, demonstrating compelling potential for clinical applications.</p>","PeriodicalId":50016,"journal":{"name":"Journal of the American Medical Informatics Association","volume":" ","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144217407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The dual nature of innovation in government: differentiating between generation and borrowing","authors":"Jianxing Yu, Junxing Wang, Biao Huang","doi":"10.1080/14719037.2025.2511891","DOIUrl":"https://doi.org/10.1080/14719037.2025.2511891","url":null,"abstract":"","PeriodicalId":20785,"journal":{"name":"Public Management Review","volume":"8 1","pages":"1-28"},"PeriodicalIF":4.9,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144202193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diversity Incentives Can Increase Women’s Aspirations to Lead","authors":"Erika L. Kirgios, Edward H. Chang","doi":"10.5465/amj.2024.0691","DOIUrl":"https://doi.org/10.5465/amj.2024.0691","url":null,"abstract":"Academy of Management Journal, Volume 0, Issue ja, -Not available-. <br/>","PeriodicalId":6975,"journal":{"name":"Academy of Management Journal","volume":"44 1","pages":""},"PeriodicalIF":10.5,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144211003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dual effects of AI-enabled job non-routinization on creativity: The moderating role of tacit knowledge awareness","authors":"Dan Zhao ,&nbsp;Ningyu Tang ,&nbsp;Shenyang Hai ,&nbsp;Lijing Zhao","doi":"10.1016/j.jbusres.2025.115482","DOIUrl":"10.1016/j.jbusres.2025.115482","url":null,"abstract":"<div><div>The application of artificial intelligence (AI)-enabled systems to the workforce has changed job content by reducing routinization and set procedures, making employee creativity increasingly essential for effective adaptation. However, our understanding of when and why employees leverage creativity in response to AI-enabled job characteristics remains limited. We identify AI-enabled job non-routinization (AI-JN) as a key new aspect of AI-enabled job characteristics by integrating the technology affordance perspective with job non-routinization literature. Additionally, we explore the influence of AI-JN on proactive and responsive creativity using the transactional theory of stress and challenge–hindrance appraisal framework. Our findings indicate that challenge appraisals of AI-JN foster proactive creativity, whereas hindrance appraisals trigger responsive creativity. We also identify tacit knowledge awareness as a moderator that amplifies challenge appraisals and attenuates hindrance appraisals of AI-JN, thereby influencing the corresponding creativity. Implications for practice and future research are discussed.</div></div>","PeriodicalId":15123,"journal":{"name":"Journal of Business Research","volume":"198 ","pages":"Article 115482"},"PeriodicalIF":10.5,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144195845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}