管理学最新文献

{"title":"The Impact of Generative AI Characteristics on Users' Experiential Value and Product Involvement","authors":"Shuman Wang,&nbsp;Chunlin Yuan,&nbsp;Yajing Yin,&nbsp;Zeran Zhang,&nbsp;Tianjiao Wang","doi":"10.1111/ijcs.70125","DOIUrl":"https://doi.org/10.1111/ijcs.70125","url":null,"abstract":"<div>\u0000 \u0000 <p>Generative artificial intelligence (GenAI) marks the transition from weak to strong AI, offering transformative potential to enhance operational efficiency and user experience. However, empirical research remains limited on how GenAI's characteristics shape user experience and involvement, which critically hinders firms from aligning technical investments with psychologically grounded user needs. To address this gap, this study draws on experiential value theory to develop a product involvement model for GenAI, examining how GenAI characteristics influence extrinsic and intrinsic value as well as product involvement. Structural equation modeling of web-based survey data reveals that GenAI characteristics enhance users' extrinsic value (driven by perceived responsiveness, creativity, interactivity, and empathy) and intrinsic value (influenced by perceived responsiveness, interactivity, and empathy), thereby positively affecting product involvement. Moreover, the need for cognitive closure positively moderates the relationship between experiential value and product involvement. Theoretically, this study proposes a dual-path model linking GenAI's characteristics to user experience and involvement through extrinsic and intrinsic value, offering empirical support to deepen understanding of product involvement in the GenAI context. Practically, it provides actionable insights for GenAI design and cognitive-profile-based market segmentation.</p>\u0000 </div>","PeriodicalId":48192,"journal":{"name":"International Journal of Consumer Studies","volume":"49 6","pages":""},"PeriodicalIF":7.6,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145146850","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":"Selection in the Operational Domain Requires More Than Grades: High School Marks do not Identify High-Flyers","authors":"Emil Lager,&nbsp;Kimmo Sorjonen,&nbsp;Marika Melin","doi":"10.1111/ijsa.70026","DOIUrl":"https://doi.org/10.1111/ijsa.70026","url":null,"abstract":"<p>As pilot selection comes under increasing scrutiny and pilot training becomes more theory-intensive, there is growing interest in whether academic metrics—such as high school grades—can predict training outcomes. While high school grades are predictive of academic success in traditional higher education, their predictive value in operational contexts remains underexplored. This study tested whether high school grades predict selection and training success in a professional pilot program. Data from 2111 applicants to LUSA in Sweden (2009–2019) were analyzed. Grades in Swedish, English, and Mathematics were examined as predictors—separately and as a composite score—of three outcomes: (a) admission, (b), theoretical course performance, and (c) graduation from flight training. Of the 2111 applicants, 169 (8%) were accepted and 147 (87%) successfully graduated. Results showed high school grades to have limited to no predictive utility across all outcomes. Only a few weak correlations emerged, but none remained significant after Bonferroni correction, and corrections for range restriction did not alter the findings. Our null findings are indicative of the competencies essential for pilot training not being well captured by academic grades once eligibility criteria are met. This reinforces the need for domain-specific and operationally relevant assessment tools in pilot selection.</p>","PeriodicalId":51465,"journal":{"name":"International Journal of Selection and Assessment","volume":"33 4","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijsa.70026","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145146853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What Makes Users Recommend Their Mobile Travel App? Findings From an Innovation Diffusion and Social Exchange Theory Perspective","authors":"Ziyi Gao,&nbsp;Jennifer Yee-Shan Chang,&nbsp;Xin-Jean Lim,&nbsp;Jun-Hwa Cheah,&nbsp;Tat-Huei Cham,&nbsp;Marianna Sigala","doi":"10.1002/jtr.70117","DOIUrl":"https://doi.org/10.1002/jtr.70117","url":null,"abstract":"<div>\u0000 \u0000 <p>This study explores the mechanisms enhancing users' intention to recommend their mobile travel app use. By drawing on innovation diffusion theory and social exchange theory, it offers a comprehensive framework for understanding how user perceptions and the trade-offs between positive and negative aspects of mobile travel app usage shape engagement and subsequent recommendation intentions. The study also sheds light on omnichannel strategies and highlights their relevance to tourism service research. A total of 387 valid responses from travel app users were analyzed through partial least squares structural equation modeling (PLS-SEM). The results indicate that innovation characteristics substantially affect perceived benefits, which in turn foster high-quality relationships and lead to recommendations. Moreover, practical insights are provided on how best to manage both positive and negative factors, thereby strengthening relationships with mobile travel app users and enhancing their willingness to recommend the app to others.</p>\u0000 </div>","PeriodicalId":51375,"journal":{"name":"International Journal of Tourism Research","volume":"27 5","pages":""},"PeriodicalIF":5.7,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145146994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"When Business Breaks the Rules: The Value of a Criminology‐Informed “Organizational” Perspective for the Regulation of White‐Collar and Corporate Crimes","authors":"Nicholas Lord, Michael Levi","doi":"10.1111/rego.70083","DOIUrl":"https://doi.org/10.1111/rego.70083","url":null,"abstract":"This article argues that if the aspiration is to enhance regulatory and governance responses to white‐collar and corporate crimes, consideration of the <jats:italic>organization</jats:italic> of these offending behaviors must be central to the scholarly, practice, and policy discussion. Regulation and governance scholarship has thrived as a field of study in its contributions to the theories and practices of regulation (and regulators) but has backgrounded the dynamics of <jats:italic>how</jats:italic> regulatees organize their rule‐breaking behaviors, and the implications of this for intentional interventions. Criminology has advanced our understanding of the procedural aspects of crimes but has largely marginalized business and organizational offending, with proportionately few criminologists displaying interest in how better to regulate organizations that violate the rules. To help bridge these gaps, in this article we draw on an “organizational perspective” to argue that “good enough” regulatory approaches should be directly informed by an understanding of <jats:italic>how</jats:italic> and <jats:italic>why</jats:italic> such crimes or offending behaviors are organized in the ways they are, and of the factors that shape these dynamics over time within particular contexts. We argue for the development of a program of research that synthesizes abstract and concrete research inquiry, and that challenges regulation academics to identify the necessary and contingent structures, mechanisms, and conditions that combine to produce white‐collar and corporate rule‐breaking behaviors to develop more plausible regulatory interventions, on a spectrum from immediate to long‐lasting.","PeriodicalId":21026,"journal":{"name":"Regulation & Governance","volume":"52 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145140867","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":"When good people do bad things: creative public services and unethical behaviours","authors":"Yujie Tan, Huafang Li, Chuanjun Liu","doi":"10.1080/14719037.2025.2564745","DOIUrl":"https://doi.org/10.1080/14719037.2025.2564745","url":null,"abstract":"","PeriodicalId":20785,"journal":{"name":"Public Management Review","volume":"41 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145140860","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":"How Do Algorithmic Decision‐Making Systems Used in Public Benefits Determinations Fail? Insights From Legal Challenges","authors":"Esra Gules‐Guctas","doi":"10.1111/puar.70043","DOIUrl":"https://doi.org/10.1111/puar.70043","url":null,"abstract":"When algorithmic decision‐making systems fail to function as intended, they become conduits for administrative error and risk producing arbitrary determinations through the very technologies meant to prevent them. Analysis of 71 federal and state court dockets contesting algorithm‐based determinations in disability, unemployment, and nutrition assistance programs shows how this risk manifests in practice. Findings show that deviations from legally prescribed outcomes occur when the translation of statutory requirements into computational logic is compromised by flawed data, problematic design choices, or inherent system limitations. These algorithmic administrative errors are neither isolated glitches nor purely technical problems; they constitute a systemic governance problem that cuts across legal, organizational, and technical domains. Addressing them requires coordinated oversight across all three areas, rather than reliance on post hoc troubleshooting.","PeriodicalId":48431,"journal":{"name":"Public Administration Review","volume":"22 1","pages":""},"PeriodicalIF":8.3,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145140859","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":"Brazil's Public Administration and the Challenge of New Democracies: Promoting Social Inclusion","authors":"Evan M. Berman, Eduardo Grin, Gabriela Lotta, Fernando L. Abrucio, Lauro Gonzalez, Maira Gabriela Santos de Souza, Yasmim Marques de Melo, Jaedson Gomes dos Santos","doi":"10.1111/puar.70045","DOIUrl":"https://doi.org/10.1111/puar.70045","url":null,"abstract":"Brazil's public administration (PA) has sought to strengthen democratic governance through an emphasis on social inclusion. Since democratization in 1988, reforms have aimed to address entrenched inequalities along with decentralization and professionalism spurring innovations in social inclusion. This article examines Brazil's PA and highlights its key PA innovations, specifically: (a) inclusive public policy councils with substantial oversight of implementation; (b) legislative public accountability bodies with authority to impose penalties; (c) devolution granting far-reaching administrative, political, and financial constitutional autonomy to cities to enhance responsiveness and innovation; and (d) wide-ranging guaranteed income programs to reduce poverty. This article also draws attention to co-existing PA “islands of excellence” and efforts to address such challenges as rule-bound bureaucracies, clientelism, and weak institutional capacities in the Global South. It concludes with implications for strengthening public managers' leadership in democratic governance.","PeriodicalId":48431,"journal":{"name":"Public Administration Review","volume":"18 1","pages":""},"PeriodicalIF":8.3,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145140862","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":"Enhancing Structured Team Communication in Acute Care Settings with Ambient AI Scribes.","authors":"Laleh Jalilian, Paul Lukac, Meghan Lane-Fall","doi":"10.1093/jamia/ocaf166","DOIUrl":"https://doi.org/10.1093/jamia/ocaf166","url":null,"abstract":"<p><strong>Objective: </strong>This perspective explores how ambient artificial intelligence (AI) scribes could support documentation and quality improvement (QI) of structured, team-based provider-to-provider communication in acute care settings.</p><p><strong>Background: </strong>In acute care settings, team-based discussions such as multidisciplinary rounds and handoffs are essential to the delivery of safe care. These discussions rely on standardized frameworks (eg, IPASS, checklists) to ensure consistent information transfer and shared understanding. Despite their importance, these verbal discussions are often incompletely documented or left undocumented in the electronic health record, leading to gaps in clinical narrative, difficulty in QI evaluation, and lost opportunities for organizational learning.</p><p><strong>Approach: </strong>We outline how ambient AI scribes could enhance documentation of team-based communication in daily rounding and handoff discussions. We examine key sociotechnical challenges, including workflow integration, multiprovider consent, surveillance concerns, and vendor collaboration. We describe our experience with proof-of-concept demonstrations as an early feasibility signal.</p><p><strong>Results: </strong>Ambient AI scribes are a promising tool for capturing structured team communication. Their use should be explored for its potential to improve documentation, support clinician well-being, and enable data-driven approaches to QI and communication fidelity assessments. Effective implementation requires workflow adaptations incorporating scribe output verification, transparent governance, and trust-building efforts to ensure clinician acceptance.</p><p><strong>Discussion: </strong>Ambient AI scribes represent a novel frontier in documentation of structured team discussions in acute care settings, with the potential to strengthen communication reliability and systems learning of these vital conversations. Future research should evaluate their impact on patient safety, workforce well-being, and patient outcomes in acute care settings.</p>","PeriodicalId":50016,"journal":{"name":"Journal of the American Medical Informatics Association","volume":" ","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145151490","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":"World Economic Prospects Monthly | Global","authors":"Ben May,&nbsp;Ryan Sweet,&nbsp;Louise Loo,&nbsp;Nicola Nobile,&nbsp;Norihiro Yamaguchi,&nbsp;Andrew Goodwin,&nbsp;Maya Senussi","doi":"10.1111/1468-0319.70014","DOIUrl":"https://doi.org/10.1111/1468-0319.70014","url":null,"abstract":"","PeriodicalId":35841,"journal":{"name":"Economic Outlook","volume":"49 S9","pages":"1-33"},"PeriodicalIF":0.0,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145146214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Towards responsible artificial intelligence in healthcare-getting real about real-world data and evidence.","authors":"Eileen Koski, Amar Das, Pei-Yun Sabrina Hsueh, Anthony Solomonides, Amanda L Joseph, Gyana Srivastava, Carl Erwin Johnson, Joseph Kannry, Bilikis Oladimeji, Amy Price, Steven Labkoff, Gnana Bharathy, Baihan Lin, Douglas Fridsma, Lee A Fleisher, Monica Lopez-Gonzalez, Reva Singh, Mark G Weiner, Robert Stolper, Russell Baris, Suzanne Sincavage, Tristan Naumann, Tayler Williams, Tien Thi Thuy Bui, Yuri Quintana","doi":"10.1093/jamia/ocaf133","DOIUrl":"https://doi.org/10.1093/jamia/ocaf133","url":null,"abstract":"<p><strong>Background: </strong>The use of real-world data (RWD) in artificial intelligence (AI) applications for healthcare offers unique opportunities but also poses complex challenges related to interpretability, transparency, safety, efficacy, bias, equity, privacy, ethics, accountability, and stakeholder engagement.</p><p><strong>Methods: </strong>A multi-stakeholder expert panel comprising healthcare professionals, AI developers, policymakers, and other stakeholders was assembled. Their task was to identify critical issues and formulate consensus recommendations, focusing on the responsible use of RWD in healthcare AI. The panel's work involved an in-person conference and workshop and extensive deliberations over several months.</p><p><strong>Results: </strong>The panel's findings revealed several critical challenges, including the necessity for data literacy and documentation, the identification and mitigation of bias, privacy and ethics considerations, and the absence of an accountability structure for stakeholder management. To address these, the panel proposed a series of recommendations, such as the adoption of metadata standards for RWD sources, the development of transparency frameworks and instructional labels likened to \"nutrition labels\" for AI applications, the provision of cross-disciplinary training materials, the implementation of bias detection and mitigation strategies, and the establishment of ongoing monitoring and update processes.</p><p><strong>Conclusion: </strong>Guidelines and resources focused on the responsible use of RWD in healthcare AI are essential for developing safe, effective, equitable, and trustworthy applications. The proposed recommendations provide a foundation for a comprehensive framework addressing the entire lifecycle of healthcare AI, emphasizing the importance of documentation, training, transparency, accountability, and multi-stakeholder engagement.</p>","PeriodicalId":50016,"journal":{"name":"Journal of the American Medical Informatics Association","volume":" ","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145151534","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}