管理学最新文献

{"title":"Sustainable circular economy: Unpacking the unintended consequences of digital transformation in Japanese SMEs","authors":"Leanne Chung ,&nbsp;Kim Hua Tan ,&nbsp;Osamu Yoshie","doi":"10.1016/j.techfore.2025.124335","DOIUrl":"10.1016/j.techfore.2025.124335","url":null,"abstract":"<div><div>Digital transformation (DX) and the shift toward a sustainable circular economy are reshaping industries, raising both practical and theoretical questions about power, collaboration, and ecosystem dynamics. While DX offers opportunities for efficiency and sustainability, it also induces unintended consequences—particularly in altering inter-organizational power relations and blurring traditional industrial boundaries. Drawing on circular economy and ecosystem perspectives, this study investigates these unintended consequences through multiple in-depth case studies of Japanese SMEs. The research reveals how organisations renegotiate constraints and resources to adapt to evolving digital ecosystems. Unlike much of the existing literature that focuses on benefits, this paper uniquely explores the dual nature of unintended consequences—highlighting not only risks but rather, some present exploitable opportunities. The findings offer novel theoretical insights into digital circular economy-era and provide actionable guidance for policymakers and practitioners navigating digital transformation.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"221 ","pages":"Article 124335"},"PeriodicalIF":13.3,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144933250","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":"Transport-based transfer learning on Electronic Health Records: application to detection of treatment disparities.","authors":"Wanxin Li, Saad Ahmed, Yongjin P Park, Khanh Dao Duc","doi":"10.1093/jamia/ocaf134","DOIUrl":"https://doi.org/10.1093/jamia/ocaf134","url":null,"abstract":"<p><strong>Objectives: </strong>Electronic Health Records (EHRs) sampled from different populations can introduce unwanted biases, limit individual-level data sharing, and make the data and fitted model hardly transferable across different population groups. In this context, our main goal is to design an effective method to transfer knowledge between population groups, with computable guarantees for suitability, and that can be applied to quantify treatment disparities.</p><p><strong>Materials and methods: </strong>For a model trained in an embedded feature space of one subgroup, our proposed framework, Optimal Transport-based Transfer Learning for EHRs (OTTEHR), combines feature embedding of the data and unbalanced optimal transport (OT) for domain adaptation to another population group. To test our method, we processed and divided the MIMIC-III and MIMIC-IV databases into multiple population groups using ICD codes and multiple labels.</p><p><strong>Results: </strong>We derive a theoretical bound for the generalization error of our method, and interpret it in terms of the Wasserstein distance, unbalancedness between the source and target domains, and labeling divergence, which can be used as a guide for assessing the suitability of binary classification and regression tasks. In general, our method achieves better accuracy and computational efficiency compared with standard and machine learning transfer learning methods on various tasks. Upon testing our method for populations with different insurance plans, we detect various levels of disparities in hospital duration stay between groups.</p><p><strong>Discussion and conclusion: </strong>By leveraging tools from OT theory, our proposed framework allows to compare statistical models on EHR data between different population groups. As a potential application for clinical decision making, we quantify treatment disparities between different population groups. Future directions include applying OTTEHR to broader regression and classification tasks and extending the method to semi-supervised learning.</p>","PeriodicalId":50016,"journal":{"name":"Journal of the American Medical Informatics Association","volume":" ","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144994218","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":"Multimodal deep learning for immunotherapy response prediction and biomarker discovery in non-small cell lung cancer.","authors":"Zijun Wang, Xi Liu, Kaitai Han, Lixin Lei, Chaojing Shi, Wu Liu, Qianjin Guo","doi":"10.1093/jamia/ocaf142","DOIUrl":"https://doi.org/10.1093/jamia/ocaf142","url":null,"abstract":"<p><strong>Objective: </strong>Immunotherapy has emerged as a promising treatment for advanced non-small cell lung cancer (NSCLC), but accurately predicting which patients will benefit from it remains a major clinical challenge. To address this, we aim to develop a novel multimodal method, DeepAFM, that integrates histopathology, genomic features, and clinical information to predict patient responses to anti-PD-(L)1 immunotherapy.</p><p><strong>Materials and methods: </strong>A total of 93 patients with advanced NSCLC were included in this study. Histopathological whole-slide images were processed using a self-supervised VQVAE2 for representation learning. PCA and K-means clustering were then applied for dimensionality reduction and feature grouping. Key regions of interest were visualized through permutation importance evaluation and color-coding techniques. The extracted histopathological features, along with genomic alterations and clinical variables, were integrated into the DeepAFM multimodal prediction model.</p><p><strong>Results: </strong>The DeepAFM achieved a high predictive performance with an area under the curve (AUC) of 0.77 (95% confidence interval: 0.69-1.00). Attention-based heatmaps revealed that the model could identify critical pathological patterns, genomic mutations, and clinical indicators associated with patient responses to immunotherapy.</p><p><strong>Discussion: </strong>The integration of multimodal data enabled the model to capture complex interactions among pathology, genomics, and clinical characteristics, enhancing the interpretability and predictive power of immunotherapy response prediction. The visualization techniques facilitated the identification of biologically meaningful features and potential biomarkers.</p><p><strong>Conclusion: </strong>This study demonstrates the effectiveness of the DeepAFM in predicting responses to immunotherapy in advanced NSCLC. The approach not only improves prediction accuracy but also provides valuable insights for personalized treatment strategies and biomarker discovery.</p>","PeriodicalId":50016,"journal":{"name":"Journal of the American Medical Informatics Association","volume":" ","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144994242","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 impact of firms’ going public mode and capital market liability of foreignness on their choice of jurisdiction in the United States","authors":"HoWook Shin ,&nbsp;Young Hoon Jung","doi":"10.1016/j.lrp.2025.102571","DOIUrl":"10.1016/j.lrp.2025.102571","url":null,"abstract":"<div><div>Despite the rapid integration of global capital markets, firms often face capital market liability of foreignness (CMLOF) when raising capital abroad. Given that CMLOF stems from foreign firms' lack of legitimacy in host countries, we examine whether and how foreign and domestic firms’ modes of going public differently affect their adoption of legitimate domestic business practices (i.e., organizational isomorphism) to advance institutional theory that proposes organizational isomorphism as a remedy for the legitimacy deficit of firms. Among the two major modes of going public, reverse mergers (RM) are considered less legitimate than initial public offerings (IPOs). Thus, we argue that foreign firms already suffering from CMLOF require legitimacy even more to assure investors of their viability when using a less legitimate mode (RM), whereas domestic firms seek legitimacy more actively when using a more legitimate mode (IPO) that presents better opportunities to raise substantial capital. Focusing on Delaware incorporation as a legitimate business practice and analyzing IPO and RM deals in the United States from 2007 to 2016, we found empirical support of our arguments. Contributions and limitations are discussed.</div></div>","PeriodicalId":18141,"journal":{"name":"Long Range Planning","volume":"58 6","pages":"Article 102571"},"PeriodicalIF":6.3,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145005192","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":"Green influencers' source credibility in driving customers’ green behaviors: Role of trust, engagement, and knowledge in a cross-country study","authors":"Phuong Van Nguyen ,&nbsp;Hoang Tran Phuoc Mai Le","doi":"10.1016/j.jretconser.2025.104505","DOIUrl":"10.1016/j.jretconser.2025.104505","url":null,"abstract":"<div><div>This paper aims to develop a model of consumers' engagement with green social media influencers (GSMIs) for sustainability. It investigates the effect of source credibility's components on trust in GSMIs, driving engagement toward GSMIs; the relationship between engagement and consumer green behavior dimensions are also examined. Moreover, the study evaluates the moderating effects of environmental knowledge on the relationship between engagement and consumer green behavior dimensions. An online survey was used to collect data from mobile users and followers of GSMIs in Vietnam and South Korea through panel data from a research company. A final sample size of 600 (n__Vietnam = 300; n__Korea = 300) participants was analyzed, including structural equation modeling for the main impacts and multiple group analysis for the moderating effects. The results show that the main impacts in the conceptual framework were confirmed, except the impact of trustworthiness on Trust in GSMIs (Vietnam) and the effect of both expertise and trustworthiness on Trust in GSMIs (South Korea). Environmental knowledge moderated the effect of engagement on consumer green behavior dimensions differently. The comparison between the two countries shows the difference in perception and behaviors between developing and developed markets. This helps bridge the gap between environmental studies and marketing research, leading to a holistic approach to understanding green consumer behaviors. The research will encourage businesses to adopt more sustainable marketing practices. In practice, this shift towards sustainability is not only beneficial for the environment but also for the long-term success and reputation of GSMIs and businesses.</div></div>","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"88 ","pages":"Article 104505"},"PeriodicalIF":13.1,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144932786","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":"Toward open-source foundation model ecosystem: Impact evaluation framework and promotion mechanism","authors":"Jincheng Shi ,&nbsp;Shan Jiang","doi":"10.1016/j.techfore.2025.124328","DOIUrl":"10.1016/j.techfore.2025.124328","url":null,"abstract":"<div><div>Open-source foundation models cultivate complex innovation ecosystems that render traditional, project-centric evaluation frameworks inadequate. To address this gap, our study develops and validates a three-level framework for assessing ecosystem-level impact and identifying its enhancement mechanisms. Grounded in technology diffusion theory, we conduct a mixed-methods analysis of 14 leading models, using data from Hugging Face, GitHub, and X (formerly Twitter). Our findings reveal that while the initial impact of these models is balanced, significant gaps emerge at the secondary (derivative innovation) and tertiary (global influence) levels. We term this challenge the “climbing effect”—the difficulty of transitioning impact across these levels—and identify specific technical and strategic control points that facilitate this progression. Theoretically, this study shifts the unit of analysis from individual projects to broader ecosystems, challenges the assumption of “smooth diffusion,” and introduces control point theory to the open-source context. Practically, our findings offer actionable strategies for developers and an evidence-based framework for policymakers to foster a more prosperous open-source AI landscape.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"221 ","pages":"Article 124328"},"PeriodicalIF":13.3,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144933251","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":"Females on Board, Stakeholder Orientation, and ESG Disclosure: An Evidence From the Tourism and Transportation Industries","authors":"Akrum Helfaya, Phuong Bui, Ahmed Aboud","doi":"10.1002/bse.70174","DOIUrl":"https://doi.org/10.1002/bse.70174","url":null,"abstract":"In the tourism and transportation (T&amp;T) industries, female directors' contributions are undervalued despite the strong emphasis on board gender diversity in management research. We investigate whether the impact of multiple board gender diversity measures on environmental, social, and governance (ESG) practices varies between shareholder‐ and stakeholder‐oriented countries and between T&amp;T industries, drawing on insights from both managerial and psychological perspectives. Using an international sample of 790 firm‐year observations representing 79 listed firms from 16 countries, we find that gender diversity is positively associated with ESG disclosure practices, and this relationship is more pronounced in shareholder‐oriented countries and the transportation sector. These insights culminate in an integrated theoretical framework that challenges traditional governance paradigms and highlights the essential role of board gender diversity in fostering sustainability. By emphasizing the contributions of female leadership to ESG disclosure practices, this research offers valuable policy implications and practical strategies for enhancing gender diversity within T&amp;T industries.","PeriodicalId":9518,"journal":{"name":"Business Strategy and The Environment","volume":"122 1","pages":""},"PeriodicalIF":13.4,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144987412","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":"Self-regulatory focus: The eagerness to respond in extremes","authors":"Elke Cabooter ,&nbsp;Bert Weijters ,&nbsp;Luk Warlop","doi":"10.1016/j.jbusres.2025.115678","DOIUrl":"10.1016/j.jbusres.2025.115678","url":null,"abstract":"<div><div>This article provides initial evidence of a relationship between self-regulatory focus (SRF) and extreme response style (ERS), showing that promotion-focused individuals are more inclined to select extreme responses on rating scales than are prevention-focused individuals. This tendency stems from greater decisiveness among promotion-focused respondents, which can lead them to exaggerate survey ratings. The findings have important implications for the reliability of SRF measurements, particularly in self-report measures, by showing that ERS can introduce significant bias. Because promotion-focused respondents tend to report exaggerated scores on outcome variables, their responses can distort interpretations of attitudes, satisfaction, or behaviors. By highlighting the link between SRF and ERS, the study underscores the need for organizations and researchers to account for extreme response style when designing surveys and analysing self-reported data. Recognizing these patterns ensures more accurate measurement of consumer preferences, employee sentiment, and other key outcomes, improving both strategic decision-making and research reliability.</div></div>","PeriodicalId":15123,"journal":{"name":"Journal of Business Research","volume":"200 ","pages":"Article 115678"},"PeriodicalIF":9.8,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144931634","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":"Artificial intelligence-driven digital servitization: The importance of platform characteristics and firm-level factors","authors":"Minna Saunila,&nbsp;Tero Rantala,&nbsp;Juhani Ukko","doi":"10.1016/j.indmarman.2025.08.007","DOIUrl":"10.1016/j.indmarman.2025.08.007","url":null,"abstract":"<div><div>This study explores the connection between artificial intelligence (AI) platform characteristics and digital servitization. The study further investigates how firm-related factors influence this connection. The AI platforms that firms utilize are industrial digital platforms that employ AI-based tools to support their operations. Digital servitization has become a common transformation in several industries collaborating with platforms and seeking ways to establish ecosystems. AI provides substantial opportunities for digital servitization to create revenue streams and improve performance by reducing costs and enhancing customer outcomes. However, the underlying characteristics of the AI platforms that support firms' digital servitization have seldom been explored among small and medium-sized enterprises (SMEs). Based on survey data collected from 179 SMEs, this study conceptualizes five characteristics as drivers of AI platform utilization and investigates their impact on digital servitization using multiple regression analyses. First, this study develops an AI platform characteristic construct. Second, the study builds a theoretical framework showing which AI platform characteristics leverage digital servitization. Ultimately, this research contributes to the understanding of the connections between AI platform characteristics and digital servitization.</div></div>","PeriodicalId":51345,"journal":{"name":"Industrial Marketing Management","volume":"130 ","pages":"Pages 35-45"},"PeriodicalIF":7.5,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144932762","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 novice to serial entrepreneur: How institutions influence relaunching decisions on international crowdfunding platforms","authors":"Ahmed Sewaid ,&nbsp;Shaker A. Zahra ,&nbsp;Sebastian Aparicio","doi":"10.1016/j.technovation.2025.103355","DOIUrl":"10.1016/j.technovation.2025.103355","url":null,"abstract":"<div><div>We examine the relationship between formal institutions and entrepreneurs' campaign launching decisions, drawing on institutional economics and using data from 177,499 crowdfunding campaigns across developed and developing countries. The findings highlight the significant influence of institutions in the use of crowdfunding platforms, with novice entrepreneurs considering policies governing local credit conditions and resolving insolvency in their initial decision to reuse the platform. However, the effect of local credit conditions diminishes after developing a record of accomplishment on the platform. Additionally, laws protecting minority investors and resolving insolvency have a greater impact for serial entrepreneurs. Our study provides insights into the role of institutions in entrepreneurial finance and serial entrepreneurship for both advanced and emerging economies.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"149 ","pages":"Article 103355"},"PeriodicalIF":10.9,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144926496","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}