管理学最新文献

{"title":"The key role of digital ambidextrous capabilities in cross-boundary innovation: Moderating effects of technological diversification and environmental turbulence","authors":"Xiaobin Feng,&nbsp;Bowen Xiao,&nbsp;Hanzhong Zheng","doi":"10.1016/j.jengtecman.2025.101895","DOIUrl":"10.1016/j.jengtecman.2025.101895","url":null,"abstract":"<div><div>Although the importance of digital technology in fostering cross-boundary innovation (CBI) has attracted increasing attention from scholars and practitioners, research gaps persist concerning how firms’ capabilities in leveraging digital technologies influence CBI and the boundary conditions that either facilitate or impede its effectiveness. Based on firm capability theory, this study distinguishes firms’ digital ambidextrous capabilities to achieve different digital goals from an organisational ambidexterity perspective. Using fixed effects and interaction effects models to analyse data from 730 publicly listed Chinese firms, this investigation explores the roles of digital exploratory capability (DERC) and digital exploitative capability (DEIC) in enhancing CBI. The results indicate that DERC and DEIC substantially foster CBI. Technological diversification acts as a positive moderator in the relationship between DERC and CBI, whilst exhibiting an inverted U-shaped moderation between DEIC and CBI. Furthermore, environmental turbulence moderates the relationship between DERC and CBI in an inverted U-shape and positively moderates the relationship between DEIC and CBI. Additionally, SOEs are more reliant on DEIC for CBI and less susceptible to environmental turbulence. This study provides new managerial insights for firms to establish and leverage digital ambidextrous capabilities to achieve CBI.</div></div>","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":"77 ","pages":"Article 101895"},"PeriodicalIF":3.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144514145","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":"Youth demographics and prosocial values shaping learning priorities: A path to equity-Oriented responsible education","authors":"Iffat S. Chaudhry ,&nbsp;Ali Junaid Khan ,&nbsp;Ghaleb A. El Refae","doi":"10.1016/j.ijme.2025.101230","DOIUrl":"10.1016/j.ijme.2025.101230","url":null,"abstract":"<div><div>This study examines the influence of youths' demographics and prosocial values, including empathy, altruism, and global awareness, in shaping their learning priorities. The aim is to understand the complex interplay of relations among learners’ personal factors that shape their learning priorities within the context of responsible education, thereby paving the way for equity-oriented education.</div><div>A quantitative study approach was adopted to analyze the expansive dataset of 47,000 respondents compiled by the United Nations-PRME's partner, HE4Good project, ‘Youths Talk’. SmartPLS 4, R-4.4.1, and IBM SPSS 27 were utilized to conduct descriptive analysis, determine direct and indirect relationships among the study constructs, and conduct self-selection analysis and path model estimations.</div><div>The study's findings highlighted the differences between diverse youth groups characterized by varying demographics (including gender, educational level, income level, identity group, and current life situation) in their perceptions of global challenges, altruistic intentions, and empathy levels, which subsequently influenced their learning priorities.</div><div>The study findings provide a way forward to equitable inclusion of diverse youth groups in leading their personalized learning outcomes at higher education institutions, encouraging the achievement of the United Nation's SDG 4: Quality education, SDG 5: Gender equality, SDG 10: Reduced inequalities and PRME's mission of developing responsible leaders through green education.</div></div>","PeriodicalId":47191,"journal":{"name":"International Journal of Management Education","volume":"23 3","pages":"Article 101230"},"PeriodicalIF":6.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144518732","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":"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":"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":"1227-1240"},"PeriodicalIF":4.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12203555/pdf/","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":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"On the Importance of Field Studies for Testing Theory-Driven Behavioral Change Interventions in (Sustainable) Tourism.","authors":"Emil Juvan, Oscar Yuheng Zhu, Bettina Grün, Sara Dolnicar","doi":"10.1177/00472875241253009","DOIUrl":"10.1177/00472875241253009","url":null,"abstract":"<p><p>Practical measures to entice tourists to behave in environmentally sustainable ways are urgently needed. The effectiveness of such measures is typically tested in survey experiments. This study demonstrates that this approach can be misleading. We test two messages aimed at reducing buffet food waste. One builds on established theories of human behavior (theory of planned behavior, value-belief-norm theory); it assumes that changing beliefs by providing information triggers behavior change. The second message builds on hedonic psychology; it attempts to change behavior through humor, presenting the pro-environmental behavior as enjoyable. In the survey experiment, the belief-based message significantly increases intentions to reduce plate waste; but both messages fail to change behavior in a real hotel. These insights have methodological and practical implications: the effectiveness of new practical measures developed to trigger specific tourist behaviors must be tested in the field before reliable managerial recommendations can be derived.</p>","PeriodicalId":48435,"journal":{"name":"Journal of Travel Research","volume":"64 6","pages":"1449-1463"},"PeriodicalIF":8.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12121902/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144200491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unpacking smart farming innovation: A systematic literature review on technological change in agriculture","authors":"Lea Daniel ,&nbsp;Lars Groeger ,&nbsp;Katharina Hölzle","doi":"10.1016/j.jengtecman.2025.101898","DOIUrl":"10.1016/j.jengtecman.2025.101898","url":null,"abstract":"&lt;div&gt;&lt;div&gt;Technological change presents significant challenges for organizations and society and needs to be understood from a socio-technical perspective. Technology and Innovation Management (TIM) can play a crucial role in understanding disruptive change. Smart farming technologies (SFTs) are used as prime examples for disruption in a traditional industry. This paper shows how scholars can use TIM theories to contribute to a better understanding and subsequent recommendations for action. We review 973 articles using bibliographic coupling to synthesize existing literature. We identify the most prominent research themes and problematize the existing narratives in light of three theoretical approaches to technological change: evolutionary economics, social construction of technology, and actor-network theory. Finally, we present theory-driven questions for future research that indicate new directions for TIM. We comprehensively review and synthesize existing research at the intersection of smart farming technologies and the TIM domain, using bibliographic coupling to identify prominent research themes, highlight blind spots, and generate questions for future research. To counter the common shortcomings of systematic literature reviews in general (Alvesson and Sandberg, 2020) and trending automated literature reviews, we supplement our analysis with an extensive explorative-qualitative discussion of the results, linking our findings back to theory and deriving a comprehensive set of research questions for future research. We build upon Bruun and Hukkinens’ (2003) Integrative Framework for Studying Technological Change to guide our discussion and expand our critical review. Thus, we make three main contributions. First, we give a curated and comprehensive overview of articles on SFT and technological change to identify the theoretical deficiencies that lead to oversimplified assumptions regarding the dissemination of smart farming technologies. Second, we enrich the TIM literature by applying three established theories of technological change in a particular sector, making the connection between a specific domain of technological application (SFT) and established theories in the technology and innovation management field. Third, by detailing the extent to which the three theories help us understand the existing literature and discussing it in its entire complexity, we identify several blind spots of current research and derive research questions for future research in both, the SFT and the TIM field. This approach opposes a technology-deterministic and simplistic view of technological developments. By doing so, we aim to inspire TIM scholars to use theories that sharpen their understanding of the socio-technical system and the complexity of technological change. The article is structured as follows: we present the current state of smart farming adoption and diffusion, introduce the theoretical framework, describe the methodology employed for our b","PeriodicalId":50209,"journal":{"name":"Journal of Engineering and Technology Management","volume":"77 ","pages":"Article 101898"},"PeriodicalIF":3.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144523521","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":"Smile Big or Little? It Depends on the Tourism Activity Type","authors":"Lujun Su,&nbsp;Shanshan Yu,&nbsp;Yongdan Liu","doi":"10.1002/jtr.70079","DOIUrl":"https://doi.org/10.1002/jtr.70079","url":null,"abstract":"<div>\u0000 \u0000 <p>In four experiments (<i>N</i> = 729), this research found that the service provider's smile intensity and tourism activity type interacted to predict revisit intention, and this effect was explained by social judgments of the service provider. Specifically, for scenarios depicting relaxing activities, broad smiles were more likely than slight smiles to enhance perceptions of the service provider as warm, and in turn, to increase revisit intention. In contrast, for challenging activities, slight smiles were more likely than broad smiles to enhance perceptions of the service provider as competent, and in turn, to increase revisit intention. These novel findings contribute to the research literature on tourism service marketing and have practical implications for destination marketers to enhance tourists’ revisit intention.</p>\u0000 </div>","PeriodicalId":51375,"journal":{"name":"International Journal of Tourism Research","volume":"27 4","pages":""},"PeriodicalIF":4.1,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144524621","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":"Entrepreneurial resourcefulness and new venture creation: Mediating role of sensing capability among early and late starter youth entrepreneurs","authors":"Ayodotun Stephen Ibidunni ,&nbsp;Paulinus Iyika ,&nbsp;Tomisin James Aruleba ,&nbsp;Obaloluwa Obed Oyewo ,&nbsp;Chioma Glory Nnaemeka","doi":"10.1016/j.ijme.2025.101227","DOIUrl":"10.1016/j.ijme.2025.101227","url":null,"abstract":"<div><div>This study investigated entrepreneurial resourcefulness (ER) and new venture creation intention (NVCI) among early and late starter youth entrepreneurs. It also examined the mediating role of sensing capability on the ER-NVCI relationship. We utilized data gathered from 320 early starter entrepreneurs (ESE) and late starter entrepreneurs (LSE) in an entrepreneurial higher education setting in Nigeria. The PLS-SEM was used to determine the direct relationship between ER and NVCI, and mediating role of sensing capability on the ER-NVCI relationship. Across the three sample levels including ESE, LSE, and the full-sample, the results show that frugality and self-control resourcefulness behaviour directly impact on sensing capability. Also, there is a direct impact of sensing capability on NVCI. The mediating effect of sensing capability is stronger on the relationship between frugality and NVCI. Our study extends the existing literature by spotlighting ER within the context of ESE and LSE in explaining time differentials among student entrepreneur's new venture creation intention.</div></div>","PeriodicalId":47191,"journal":{"name":"International Journal of Management Education","volume":"23 3","pages":"Article 101227"},"PeriodicalIF":6.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144518733","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":"Adoption of artificial intelligence in healthcare: survey of health system priorities, successes, and challenges.","authors":"Eric G Poon, Christy Harris Lemak, Juan C Rojas, Janet Guptill, David Classen","doi":"10.1093/jamia/ocaf065","DOIUrl":"10.1093/jamia/ocaf065","url":null,"abstract":"<p><strong>Importance: </strong>The US healthcare system faces significant challenges, including clinician burnout, operational inefficiencies, and concerns about patient safety. Artificial intelligence (AI), particularly generative AI, has the potential to address these challenges, but its adoption, effectiveness, and barriers to implementation are not well understood.</p><p><strong>Objective: </strong>To evaluate the current state of AI adoption in US healthcare systems, assess successes and barriers to implementation during the early generative AI era.</p><p><strong>Design, setting, and participants: </strong>This cross-sectional survey was conducted in Fall 2024, and included 67 health systems members of the Scottsdale Institute, a collaborative of US non-profit healthcare organizations. Forty-three health systems completed the survey (64% response rate). Respondents provided data on the deployment status and perceived success of 37 AI use cases across 10 categories.</p><p><strong>Main outcomes and measures: </strong>The primary outcomes were the extent of AI use case development, piloting, or deployment, the degree of reported success for AI use cases, and the most significant barriers to adoption.</p><p><strong>Results: </strong>Across the 43 responding health systems, AI adoption and perceptions of success varied significantly. Ambient Notes, a generative AI tool for clinical documentation, was the only use case with 100% of respondents reporting adoption activities, and 53% reported a high degree of success with using AI for Clinical Documentation. Imaging and radiology emerged as the most widely deployed clinical AI use case, with 90% of organizations reporting at least partial deployment, although successes with diagnostic use cases were limited. Similarly, many organizations have deployed AI for clinical risk stratification such as early sepsis detection, but only 38% report high success in this area. Immature AI tools were identified a significant barrier to adoption, cited by 77% of respondents, followed by financial concerns (47%) and regulatory uncertainty (40%).</p><p><strong>Conclusions and relevance: </strong>Ambient Notes is rapidly advancing in US healthcare systems and demonstrating early success. Other AI use cases show varying degrees of adoption and success, constrained by barriers such as immature AI tools, financial concerns, and regulatory uncertainty. Addressing these challenges through robust evaluations, shared strategies, and governance models will be essential to ensure effective integration and adoption of AI into healthcare practice.</p>","PeriodicalId":50016,"journal":{"name":"Journal of the American Medical Informatics Association","volume":" ","pages":"1093-1100"},"PeriodicalIF":4.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12202002/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144057241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","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":"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":"1164-1173"},"PeriodicalIF":4.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12203503/pdf/","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":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Projecting for sustainability transitions: Contrasting two types of project-oriented agency","authors":"Ermal Hetemi ,&nbsp;Sofia Pemsel ,&nbsp;Jonas Söderlund ,&nbsp;Anna Jerbrant","doi":"10.1016/j.ijproman.2025.102721","DOIUrl":"10.1016/j.ijproman.2025.102721","url":null,"abstract":"<div><div>A core problem in sustainability transitions is to ensure that actors come together and work on a common goal. Earlier research has argued that developing a project-oriented agency is essential to ensure transitions. By examining two contrasting cases, the Sustainable Transportation program and the Sustainable Hospital program, we identify two distinct types of project-oriented agency: (1) emergent and (2) induced. The former showcases an inclusive approach emphasizing open collaboration and resource mobilization, flexible goals, whereas the latter encompasses prescribed resource mobilization<em>,</em> contractual objectives, and deadlines. Beyond bottom-up vs. top-down dichotomies, these project-oriented agency types highlight different shaping contexts and logics of how actors mobilize projects for change. Our analysis identifies the nuanced dimensions of project-oriented agency and the impetuses, practices, and temporal structures through which they shape transition outcomes. The paper enriches the current understanding of how targeted projects and programs can bridge experimental niches with mainstream regime transformation, thereby enabling system-wide sustainability transitions.</div></div>","PeriodicalId":48429,"journal":{"name":"International Journal of Project Management","volume":"43 5","pages":"Article 102721"},"PeriodicalIF":7.4,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144548568","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}