{"title":"The impact of a flagship store opening on firm value: evidence from an event study","authors":"Sinem Kargin , Lien Lamey","doi":"10.1016/j.jbusres.2025.115583","DOIUrl":"10.1016/j.jbusres.2025.115583","url":null,"abstract":"<div><div>Flagship stores are being introduced around the world. This study examines the extent to which flagship stores add value to firms and under which conditions. While flagship stores may not directly intend to generate profits at the store level, they can add value to a firm in other (indirect) ways by (i) communicating and reinforcing the brand image, (ii) building partner relationships, and (iii) offering a blueprint for store development. An event study is used to examine 100 announcements of future flagship store openings made by publicly traded companies worldwide (2018–2023). On average, a flagship store opening does not impact firm value. However, if a flagship store is used to showcase the company’s sustainability strategy or to enter a market, this boosts firm value. Conversely, firms selling highly utilitarian products see value decline after opening a flagship store. The presence of consumer-facing technologies in these stores positively influences firm value.</div></div>","PeriodicalId":15123,"journal":{"name":"Journal of Business Research","volume":"199 ","pages":"Article 115583"},"PeriodicalIF":10.5,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144549129","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":"Empowering AI with experiential learning: Implications from analysing user-generated content","authors":"Ashutosh Singh , Reeti Agarwal , Rsha Alghafes , Armando Papa","doi":"10.1016/j.techfore.2025.124261","DOIUrl":"10.1016/j.techfore.2025.124261","url":null,"abstract":"<div><div>Artificial intelligence (AI) has evolved into generative artificial intelligence, offering users even greater benefits. The AI platforms provide generative AI-related services to support users' professional development and gather feedback to enhance the service through experiential learning. However, comprehending large volumes of unstructured datasets in the form of customer reviews presents an increasingly serious challenge as the number of users on AI platforms grows over time. We employ advanced machine learning techniques-topic modelling and word2vec- to extract more accurate insights from unstructured data. We collect customer reviews from AI content-creation platforms from 2022 to 2024. By combining topic modelling and word2vec, we uncover valuable insights. Our analysis identifies eight key topics: Playground, Support Hub, Content Lab, Productivity, User Experience, Access, Business Assistant, and Remix. The topic of regression analysis reveals that Content Lab, User Experience, Business Assistant, and Remix are more favourable in terms of customer satisfaction scores. The word2vec analysis with negative sampling indicates that Access and Playground demonstrate better cohesion scores compared to other themes. Conversely, themes such as Content Lab, Productivity, and Business Assistant have lower cohesion scores, indicating weak clustering among words within these themes. Our research offers several valuable insights for AI platform managers, which can further enhance services through experiential learning.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"219 ","pages":"Article 124261"},"PeriodicalIF":12.9,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144548656","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}
Tourism ManagementPub Date : 2025-07-04DOI: 10.1016/j.tourman.2025.105264
Lisi Yang , Yang Yang , Xijia Huang , Kai Yan
{"title":"From words to growth: Unveiling government attention to tourism from natural language processing","authors":"Lisi Yang , Yang Yang , Xijia Huang , Kai Yan","doi":"10.1016/j.tourman.2025.105264","DOIUrl":"10.1016/j.tourman.2025.105264","url":null,"abstract":"<div><div>This paper theorizes and quantifies the government attention to tourism (GAT) using an AI-driven interdisciplinary approach to analyze government policy portfolios. By leveraging machine learning and natural language processing techniques, including textual analysis, word embeddings, and <em>GPT-4o-</em>based segmentation, the GAT indicator is derived from government annual reports. Within the framework of promotion tournament model and limited attention allocation theories, the study uses post-double-selection LASSO to identify key antecedents of GAT: the number of A-level scenic spots, male municipal party secretaries, and cities' economic constraints. These factors collectively shape government resource allocation in tourism policy. Validation tests confirm a positive association between GAT and actual government inputs in tourism-related domains. When governments' words align with actions, GAT can be a supplementary indicator for forecasting tourism growth. Robustness checks validate these findings, providing a reliable methodology. This study offers a comprehensive technology roadmap, guiding future tourism research with AI-driven approaches.</div></div>","PeriodicalId":48469,"journal":{"name":"Tourism Management","volume":"112 ","pages":"Article 105264"},"PeriodicalIF":10.9,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144548331","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}
Carlotta Magri , Federico Bertacchini , Pier Luigi Marchini
{"title":"Resolution of financial distress in SMEs: How do family ownership and involvement affect second chance?","authors":"Carlotta Magri , Federico Bertacchini , Pier Luigi Marchini","doi":"10.1016/j.jfbs.2025.100673","DOIUrl":"10.1016/j.jfbs.2025.100673","url":null,"abstract":"<div><div>The aim of this study is to understand if the idiosyncrasies of family firms affect the likelihood of successfully recovering from financial distress through a debt restructuring proceeding. Relying on the mixed-gamble logic of the behavioral agency model, we hypothesize that family small and medium-sized enterprises (SMEs) have greater chances of resolving financial distress than non-family SMEs, as the former are driven by the preservation of long-term socioemotional wealth. Our findings suggest that family ownership and control, as well as family involvement, are positively associated with the likelihood of successful debt restructuring. This study highlights that the unique emotional attachment family executives have to their business enhances their motivation and capabilities, making them more effective than their non-family counterparts at resolving financial distress through debt restructuring.</div></div>","PeriodicalId":47661,"journal":{"name":"Journal of Family Business Strategy","volume":"16 3","pages":"Article 100673"},"PeriodicalIF":9.5,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144549008","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":"Scarcity, symbolism, and social identity (3S): Unpacking drivers of conspicuous consumption of virtual gear in the metaverse","authors":"Kaige Bai , Yuliang Liu","doi":"10.1016/j.jretconser.2025.104396","DOIUrl":"10.1016/j.jretconser.2025.104396","url":null,"abstract":"<div><div>A research gap persists in Metaverse virtual equipment consumption, particularly in the unclear interaction mechanisms of the 3S framework (Scarcity, Symbolism, Social identity) on consumer behavior. Traditional studies often overlook gender differences, complicating the identification of complex causal relationships and multi-level pathways in virtual environments.This study employs PLS-SEM to: (1) examine the relationship between the attributes of virtual gear (scarcity, brand symbolic value, visibility, identity satisfaction and social recognition) and conspicuous consumption behaviour, with social recognition acting as a mediator; (2) determine the moderating role of emotional affordance and technology acceptance; (3) analyse gender differences in the impact pathways; and (4) utilise fsQCA to identify causal configurations associated with high conspicuous consumption behaviour. Using 550 valid samples, reliability and validity tests confirmed the robustness of the Stimulus-Organism-Response model. PLS-SEM analysis indicates that the attributes of virtual gear positively influence conspicuous consumption behaviour. However, technology acceptance does not moderate the effect of social recognition on conspicuous consumption behaviour (r = 0.014, p > 0.05), and neither brand symbolic value nor social recognition exhibits a chain mediation effect on the influence of virtual gear product scarcity on conspicuous consumption behaviour (r = 0.009, p > 0.05). Furthermore, six groups of pathways demonstrate significant gender differences. The fsQCA analysis reveals that virtual gear product scarcity and brand symbolic value are key factors in the three configurations of high conspicuous consumption behaviour. These findings provide theoretical insights for sustainable marketing strategies on virtual platforms and practical guidance for promoting rational consumption.</div></div>","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"87 ","pages":"Article 104396"},"PeriodicalIF":11.0,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144534640","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}
Research PolicyPub Date : 2025-07-03DOI: 10.1016/j.respol.2025.105295
Alex J. Yang
{"title":"Text vs. citations: A comparative analysis of breakthrough and disruption metrics in patent innovation","authors":"Alex J. Yang","doi":"10.1016/j.respol.2025.105295","DOIUrl":"10.1016/j.respol.2025.105295","url":null,"abstract":"<div><div>This study examines two dynamic metrics for assessing technological innovation— the text-based breakthrough index (KI index) and the citation-based disruption index (CD index)—both of which integrate ex-ante (novelty) and ex-post (impact) information. The KI index identifies breakthrough inventions by measuring their novelty (low similarity to prior patents) and impact (high similarity to future patents), whereas the CD index quantifies technological disruption by analyzing shifts in citation patterns. Using a dataset of over six million patents filed with the USPTO between 1980 and 2017, this paper finds that KI and CD indices are highly correlated and both effectively capture technological breakthroughs. Patents with high KI or CD scores typically originate from original and narrowly focused knowledge bases. However, the two indices exhibit distinct patterns: (1) the KI index fluctuates with economic cycles, while the CD index has experienced a steady decline over time; (2) the KI index positively correlates with future patent citation impact, whereas the CD index follows a U-shaped relationship with patent citation impact; and (3) small and remote teams produce higher KI but lower CD scores, potentially because larger teams cite newer, widely recognized references. I discuss innovation concepts—breakthroughs, disruptions, and beyond—to contextualize these findings and explore their implications for understanding technological advancement. These results contribute to the discourse on measuring innovation and underscore the complementary strengths of text-based and citation-based approaches in assessing technological progress.</div></div>","PeriodicalId":48466,"journal":{"name":"Research Policy","volume":"54 8","pages":"Article 105295"},"PeriodicalIF":7.5,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144535012","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":"Teaching project management with generative AI: A pedagogical model for responsible and sustainable practice","authors":"Terri Iacobucci Ruark, Cristiane Biazzin","doi":"10.1016/j.ijme.2025.101232","DOIUrl":"10.1016/j.ijme.2025.101232","url":null,"abstract":"<div><div>This study presents an innovative pedagogical approach integrating generative AI into project management education across five MBA courses. The research examines a structured teaching model where students applied AI tools to self-selected “Dream Projects” aligned with their career aspirations. Data analysis of 863 student submissions revealed that AI-enhanced project-based learning transformed the educational experience by repositioning faculty as learning facilitators and enabling students to engage with complex project management challenges more effectively. The teaching approach was organized around five structured modules that systematically incorporated AI applications throughout the project lifecycle, from initiation and planning to execution and closure. Students demonstrated improved decision-making capabilities, particularly in scheduling, risk assessment, and stakeholder communication, with 93 % actively applying AI tools across multiple project phases. The pedagogical model contributes to sustainable development goals by enhancing quality education (SDG 4), preparing students for evolving workplace demands (SDG 8), and developing the technical fluency needed for industrial innovation (SDG 9). This approach demonstrates how higher education can simultaneously cultivate technological competence and ethical judgment while preparing students for an AI-transformed professional landscape.</div></div>","PeriodicalId":47191,"journal":{"name":"International Journal of Management Education","volume":"23 3","pages":"Article 101232"},"PeriodicalIF":6.0,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144535817","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}
Tobias Reif, Dustin Bauer, Sebastian Junge, Verena Hossnofsky
{"title":"An update on family firm succession: A systematic literature review and future research directions","authors":"Tobias Reif, Dustin Bauer, Sebastian Junge, Verena Hossnofsky","doi":"10.1016/j.jfbs.2025.100671","DOIUrl":"10.1016/j.jfbs.2025.100671","url":null,"abstract":"<div><div>Family firm succession has received considerable academic attention, focusing on various topics such as the actors involved, process models, surrounding contexts, and process outcomes. A systematic literature review was conducted to provide updated field assessments. Our analysis identifies two core research streams: succession candidates and process models. We reveal the distinctions between family and non-family succession candidates within four sets of antecedents connected to performance and socioemotional wealth outcomes. In addition, we identified various succession process models that led to different process understandings. By comparing and synthesizing previous studies, we propose a succession process model that incorporates the aforementioned antecedents as vital explanatory variables in the succession process. These antecedents trigger and shape the resulting gatekeeping events between the process phases. We argue that the interrelations among the phases, their content, and their gatekeepers lead to different succession outcomes. Our insights enhance the understanding of successful succession and post-succession outcomes in family firms.</div></div>","PeriodicalId":47661,"journal":{"name":"Journal of Family Business Strategy","volume":"16 3","pages":"Article 100671"},"PeriodicalIF":9.5,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144535686","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":"Towards an experiential ethics of AI and robots: A review of empirical research on human encounters","authors":"Björn Fischer , Susanne Frennert","doi":"10.1016/j.techfore.2025.124264","DOIUrl":"10.1016/j.techfore.2025.124264","url":null,"abstract":"<div><div>The past few years have seen a profound re-acceleration of interest in artificial intelligence (AI) and robotics, accompanied by intensifying debates about ethical regulation. Yet, less attention has been paid to how people experience AI and robots in practice. This paper explores the potential of an <em>experiential</em> approach to AI and robot ethics. Specifically, we review empirical studies on human experiences with AI and robots and argue for the value of assembling and analysing findings from studies that inquire into the everyday encounters with AI and robots. Following a hybrid approach that combines systematic review with narrative social inquiry, we identify <em>six key dimensions of human experiences with AI and robots</em>: appreciation of imperfection, formation of affective relationships, discomfort with lack of transparency, addition of invisible work, shifting responsibilities, and readiness to trade off privacy for other benefits. By placing these dimensions into dialogue with ethical AI governance, pragmatist philosophy and Science and Technology Studies, we argue for an experiential approach to ethics, <em>i.e.</em> an approach that grounds ethical reflection in lived encounters, where abstract principles often take new, context-specific meanings. Thereby, we invite attentiveness to ethical concerns that might otherwise become sidelined in extant AI and robotics policy frameworks.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"219 ","pages":"Article 124264"},"PeriodicalIF":12.9,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144548765","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":"Who leads the chain? Deciphering the trajectory of global value network in technology-intensive manufacturing and innovation effects","authors":"Yingjie Yu , Debin Du , Qixiang Li","doi":"10.1016/j.techfore.2025.124258","DOIUrl":"10.1016/j.techfore.2025.124258","url":null,"abstract":"<div><div>Amid the ongoing technological revolution and global industrial restructuring, technology-intensive manufacturing has become a core field of international innovation competition. This study adopts a network perspective to analyze the structural dynamics of global value creation, moving beyond traditional linear value chain analysis. Using global value-added trade data from 1995 to 2020, we apply social network analysis to map the evolution of the global value network and assess the impact of national network positions on innovation performance. The results reveal an increasingly hierarchical, pyramid-shaped structure centered on the U.S. and China, with the former leading input chains and the latter dominating output chains. The network also exhibits growing asymmetry and small-world properties. Fixed-effects regression results show that countries with higher weighted degree and betweenness centrality achieve superior innovation outcomes, supporting the role of network structure in shaping innovation through knowledge spillovers, integration, and filtering. These findings highlight the strategic importance of global network positioning in enhancing national innovation capacity.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"219 ","pages":"Article 124258"},"PeriodicalIF":12.9,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144535412","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}