Francesco Tajani, Giuseppe Cerullo, Federico Stara, Francesco Sica
The increasing urgency to reduce greenhouse gas emissions has positioned the decarbonization of the existing building stock as a pivotal strategy. It plays a crucial role in the global transition towards forms of low‐carbon economies. This research proposes an integrated and replicable methodological framework designed to steer strategic investment decisions across the energy retrofitting initiatives field by harmonizing economic, environmental and technical dimensions. The methodology integrates established instruments from scientific literature, such as the Carbon Risk Real Estate Monitor (CRREM) for environmental risk evaluation, two‐dimensional scatter plots for exploratory analysis of trade‐offs and multiobjective optimization models based on goal programming principles. It has been applied to a diversified portfolio of 13 buildings located in the city of Rome (Italy). The results highlight the framework's capacity to identify optimal retrofit scenarios that balance investment expenses, payback periods and the alleviation of asset‐stranding issues. Furthermore, the sensitivity analysis outlines the adaptability of the method to different priority weightings, facilitating decision makers in effectively managing complex multicriteria trade‐offs. The study underscores the relevance of integrating environmental and economic criteria to foster investment strategies aligned with ESG standards, supporting both public administrations and private investors in achieving climate objectives.
{"title":"Multidimensional Models for Building Decarbonization Pathways","authors":"Francesco Tajani, Giuseppe Cerullo, Federico Stara, Francesco Sica","doi":"10.1002/bse.70455","DOIUrl":"https://doi.org/10.1002/bse.70455","url":null,"abstract":"The increasing urgency to reduce greenhouse gas emissions has positioned the decarbonization of the existing building stock as a pivotal strategy. It plays a crucial role in the global transition towards forms of low‐carbon economies. This research proposes an integrated and replicable methodological framework designed to steer strategic investment decisions across the energy retrofitting initiatives field by harmonizing economic, environmental and technical dimensions. The methodology integrates established instruments from scientific literature, such as the Carbon Risk Real Estate Monitor (CRREM) for environmental risk evaluation, two‐dimensional scatter plots for exploratory analysis of trade‐offs and multiobjective optimization models based on goal programming principles. It has been applied to a diversified portfolio of 13 buildings located in the city of Rome (Italy). The results highlight the framework's capacity to identify optimal retrofit scenarios that balance investment expenses, payback periods and the alleviation of asset‐stranding issues. Furthermore, the sensitivity analysis outlines the adaptability of the method to different priority weightings, facilitating decision makers in effectively managing complex multicriteria trade‐offs. The study underscores the relevance of integrating environmental and economic criteria to foster investment strategies aligned with ESG standards, supporting both public administrations and private investors in achieving climate objectives.","PeriodicalId":9518,"journal":{"name":"Business Strategy and The Environment","volume":"42 1","pages":""},"PeriodicalIF":13.4,"publicationDate":"2025-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145730952","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}
This paper examines how market participants trade on private information about firm fundamentals using the largest known case of informed trade of earnings announcements. From 2011 to 2015, a cartel of sophisticated traders illegally obtained early access to and traded on over 1,000 firm earnings announcements. Using this setting, I identify the information in earnings announcements that these market participants found most price relevant. The informed traders preferred announcements with larger earnings and sales surprises relative to forecasts, quantitative managerial guidance, and more extreme news sentiment. Despite their perfect foresight, the traders performed, perhaps surprisingly, poorly relative to hypothetical trading strategies based on comparable foresight. Frictions that limited their performance include price impact, risk aversion, and information processing costs. The trading performance of these informed traders implies that information about firm fundamentals explains little of the cross‐sectional variation in earnings announcement returns, even for sophisticated market participants.
{"title":"Informed Trade of Earnings Announcements","authors":"CHLOE XIE","doi":"10.1111/1475-679x.70032","DOIUrl":"https://doi.org/10.1111/1475-679x.70032","url":null,"abstract":"This paper examines how market participants trade on private information about firm fundamentals using the largest known case of informed trade of earnings announcements. From 2011 to 2015, a cartel of sophisticated traders illegally obtained early access to and traded on over 1,000 firm earnings announcements. Using this setting, I identify the information in earnings announcements that these market participants found most price relevant. The informed traders preferred announcements with larger earnings and sales surprises relative to forecasts, quantitative managerial guidance, and more extreme news sentiment. Despite their perfect foresight, the traders performed, perhaps surprisingly, poorly relative to hypothetical trading strategies based on comparable foresight. Frictions that limited their performance include price impact, risk aversion, and information processing costs. The trading performance of these informed traders implies that information about firm fundamentals explains little of the cross‐sectional variation in earnings announcement returns, even for sophisticated market participants.","PeriodicalId":48414,"journal":{"name":"Journal of Accounting Research","volume":"3 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145730962","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}
Laura Hartung‐Geyer, Sascha P. Klein, Patrick Spieth
Organizations increasingly innovate their business models (BMs) toward sustainability to maintain competitiveness and comply with regulations. Sustainable business model innovation (SBMI) requires decision‐makers to identify ecological and social opportunities while balancing economic goals. However, BMs as mental models are guided by experiences and cognitive biases, influencing the recognition of SBMI opportunities. Research on how mental models affect opportunity recognition for SBMI in incumbent firms remains limited. We examine how boundary objects enhance opportunity recognition in SBMI. Through a single case study in the industrial automation sector, we identify significant variations in decision‐makers' mental models and demonstrate how boundary objects mitigate cognitive barriers. Findings highlight differences between managers with diverse professional backgrounds and propose measures to foster the identification of suitable opportunities in SBMI. This study contributes to SBMI research by identifying micro‐level cognitive constraints and offers practical recommendations to improve strategic decision‐making in contexts of sustainability innovation.
{"title":"Turning Mental Models Around: Boundary Objects as Enablers of Sustainable Business Model Innovation","authors":"Laura Hartung‐Geyer, Sascha P. Klein, Patrick Spieth","doi":"10.1002/bse.70441","DOIUrl":"https://doi.org/10.1002/bse.70441","url":null,"abstract":"Organizations increasingly innovate their business models (BMs) toward sustainability to maintain competitiveness and comply with regulations. Sustainable business model innovation (SBMI) requires decision‐makers to identify ecological and social opportunities while balancing economic goals. However, BMs as mental models are guided by experiences and cognitive biases, influencing the recognition of SBMI opportunities. Research on how mental models affect opportunity recognition for SBMI in incumbent firms remains limited. We examine how boundary objects enhance opportunity recognition in SBMI. Through a single case study in the industrial automation sector, we identify significant variations in decision‐makers' mental models and demonstrate how boundary objects mitigate cognitive barriers. Findings highlight differences between managers with diverse professional backgrounds and propose measures to foster the identification of suitable opportunities in SBMI. This study contributes to SBMI research by identifying micro‐level cognitive constraints and offers practical recommendations to improve strategic decision‐making in contexts of sustainability innovation.","PeriodicalId":9518,"journal":{"name":"Business Strategy and The Environment","volume":"15 1","pages":""},"PeriodicalIF":13.4,"publicationDate":"2025-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145731645","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}
Pub Date : 2025-12-12DOI: 10.1016/j.jretconser.2025.104651
Guanglu Liu
<div><div>As luxury brands expand into metaverse retail environments, non-fungible tokens (NFTs) have emerged as critical tools for digital brand storytelling and value creation. However, the translation of brand authenticity from physical to digital luxury goods remains poorly understood, particularly regarding how visual design fidelity and pricing strategies influence consumer perceptions and behaviors. This research addresses a fundamental tension in luxury NFT marketing: while high-fidelity digital representations may enhance perceived authenticity through detailed brand cues, they may simultaneously degrade authenticity perceptions by exposing the gap between digital simulation and physical product ownership. Drawing on signaling theory and authenticity research, this study investigates how NFT visual quality (high vs. low fidelity) and price disclosure strategies (transparent vs. absent) jointly influence consumer authenticity perceptions and purchase intentions for flagship luxury handbags in metaverse retail contexts.Three preregistered experiments (aggregate N = 1278) employing diverse luxury brand stimuli systematically test these relationships. Study 1 establishes that high-fidelity NFT visuals paradoxically reduce perceived brand authenticity and purchase intentions compared to low-fidelity representations, despite enhanced aesthetic appeal. Study 2 reveals that transparent price information (versus no pricing) moderates this effect: when price transparency is low, the negative authenticity impact of high-fidelity NFTs diminishes, and purchase intentions rebound to levels comparable with high-fidelity designs. Study 3 employs a three-cell design (low price, high price, no price) to confirm that premium pricing serves as a compensatory signal that buffers the authenticity penalties associated with photorealistic NFT representations, while low prices amplify the negative effects of visual realism on perceived authenticity.Across all studies, mediation analyses demonstrate that perceived authenticity functions as the primary psychological pathway linking visual fidelity and price transparency to purchase intentions. Consumer familiarity with NFT technology emerges as a secondary moderator, with NFT-experienced consumers showing greater acceptance of high-fidelity digital representations. The findings extend signaling theory to digital luxury contexts by demonstrating that traditional brand signals (visual realism, price) operate differently in virtual environments where authenticity concerns are heightened. This research provides actionable strategic guidance for luxury retailers entering metaverse platforms: managers must carefully calibrate NFT visual resolution and pricing strategies to preserve brand authenticity perceptions, either investing in ultra-realistic assets paired with premium pricing or adopting stylized, lower-fidelity designs with transparent value propositions to drive conversion in digital retail environments.</div><
{"title":"Visual fidelity and price transparency in luxury-brand NFTs: Impacts on consumer authenticity perceptions and purchase intentions in metaverse retailing","authors":"Guanglu Liu","doi":"10.1016/j.jretconser.2025.104651","DOIUrl":"10.1016/j.jretconser.2025.104651","url":null,"abstract":"<div><div>As luxury brands expand into metaverse retail environments, non-fungible tokens (NFTs) have emerged as critical tools for digital brand storytelling and value creation. However, the translation of brand authenticity from physical to digital luxury goods remains poorly understood, particularly regarding how visual design fidelity and pricing strategies influence consumer perceptions and behaviors. This research addresses a fundamental tension in luxury NFT marketing: while high-fidelity digital representations may enhance perceived authenticity through detailed brand cues, they may simultaneously degrade authenticity perceptions by exposing the gap between digital simulation and physical product ownership. Drawing on signaling theory and authenticity research, this study investigates how NFT visual quality (high vs. low fidelity) and price disclosure strategies (transparent vs. absent) jointly influence consumer authenticity perceptions and purchase intentions for flagship luxury handbags in metaverse retail contexts.Three preregistered experiments (aggregate N = 1278) employing diverse luxury brand stimuli systematically test these relationships. Study 1 establishes that high-fidelity NFT visuals paradoxically reduce perceived brand authenticity and purchase intentions compared to low-fidelity representations, despite enhanced aesthetic appeal. Study 2 reveals that transparent price information (versus no pricing) moderates this effect: when price transparency is low, the negative authenticity impact of high-fidelity NFTs diminishes, and purchase intentions rebound to levels comparable with high-fidelity designs. Study 3 employs a three-cell design (low price, high price, no price) to confirm that premium pricing serves as a compensatory signal that buffers the authenticity penalties associated with photorealistic NFT representations, while low prices amplify the negative effects of visual realism on perceived authenticity.Across all studies, mediation analyses demonstrate that perceived authenticity functions as the primary psychological pathway linking visual fidelity and price transparency to purchase intentions. Consumer familiarity with NFT technology emerges as a secondary moderator, with NFT-experienced consumers showing greater acceptance of high-fidelity digital representations. The findings extend signaling theory to digital luxury contexts by demonstrating that traditional brand signals (visual realism, price) operate differently in virtual environments where authenticity concerns are heightened. This research provides actionable strategic guidance for luxury retailers entering metaverse platforms: managers must carefully calibrate NFT visual resolution and pricing strategies to preserve brand authenticity perceptions, either investing in ultra-realistic assets paired with premium pricing or adopting stylized, lower-fidelity designs with transparent value propositions to drive conversion in digital retail environments.</div><","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"90 ","pages":"Article 104651"},"PeriodicalIF":13.1,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145738244","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}
Pub Date : 2025-12-12DOI: 10.1016/j.jik.2025.100918
Li Yue, Liang Han
{"title":"How does government environmental attention drive regional green technology innovation?","authors":"Li Yue, Liang Han","doi":"10.1016/j.jik.2025.100918","DOIUrl":"https://doi.org/10.1016/j.jik.2025.100918","url":null,"abstract":"","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"11 1","pages":""},"PeriodicalIF":18.1,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145731899","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}
Pub Date : 2025-12-12DOI: 10.1016/j.techfore.2025.124493
Ville Heilala , Riitta Kelly , Miitta Järvinen , Raija Hämäläinen
Emerging technologies have the potential to transform education, and individuals with different technological orientations and backgrounds should have equal opportunities to harness the benefits. However, the underlying personal characteristics that potentially contribute to differences in technology adoption beyond the issues of technology access and skills have received less attention, especially in a context where access to technology and the possibility of acquiring necessary skills can be considered common. In this study, we found significant variation in university students' technology readiness in Finland regarding their field of study and gender. Students in information technology and natural sciences exhibited higher technology readiness than students in other fields. Also, men reported higher technology readiness than women, especially in innovativeness, suggesting a tendency to adopt new technologies before others. Findings underscore the need to consider the interplay between individual differences in technology readiness and the adoption of novel technologies in education because of a potential risk that individual and technological factors may drive and perpetuate the digital divide. The study concludes with the proposition of the Zipper Model of Digital Equity, which illustrates the digital divide and ongoing efforts toward digital equity in education.
{"title":"Toward closing the zipper: Technology readiness and diverse technology use of university students in terms of academic major and gender","authors":"Ville Heilala , Riitta Kelly , Miitta Järvinen , Raija Hämäläinen","doi":"10.1016/j.techfore.2025.124493","DOIUrl":"10.1016/j.techfore.2025.124493","url":null,"abstract":"<div><div>Emerging technologies have the potential to transform education, and individuals with different technological orientations and backgrounds should have equal opportunities to harness the benefits. However, the underlying personal characteristics that potentially contribute to differences in technology adoption beyond the issues of technology access and skills have received less attention, especially in a context where access to technology and the possibility of acquiring necessary skills can be considered common. In this study, we found significant variation in university students' technology readiness in Finland regarding their field of study and gender. Students in information technology and natural sciences exhibited higher technology readiness than students in other fields. Also, men reported higher technology readiness than women, especially in innovativeness, suggesting a tendency to adopt new technologies before others. Findings underscore the need to consider the interplay between individual differences in technology readiness and the adoption of novel technologies in education because of a potential risk that individual and technological factors may drive and perpetuate the digital divide. The study concludes with the proposition of the Zipper Model of Digital Equity, which illustrates the digital divide and ongoing efforts toward digital equity in education.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"224 ","pages":"Article 124493"},"PeriodicalIF":13.3,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145738121","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}
Pub Date : 2025-12-12DOI: 10.1016/j.ejor.2025.12.018
Edward Mellor, Kevin Glazebrook, Kyle Lin, Rob Shone
{"title":"Traveling Between Dispersed Locations to Search for a Hidden Object","authors":"Edward Mellor, Kevin Glazebrook, Kyle Lin, Rob Shone","doi":"10.1016/j.ejor.2025.12.018","DOIUrl":"https://doi.org/10.1016/j.ejor.2025.12.018","url":null,"abstract":"","PeriodicalId":55161,"journal":{"name":"European Journal of Operational Research","volume":"6 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145731375","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}
Pub Date : 2025-12-12DOI: 10.1016/j.joi.2025.101759
Ashkan Ebadi , Alain Auger , Yvan Gauthier
The landscape of science and technology is characterized by its dynamic and evolving nature, constantly reshaped by discoveries, innovations, and paradigm shifts. Moreover, science is undergoing a remarkable shift towards increasing interdisciplinary collaboration, where the convergence of diverse fields fosters innovative solutions to complex problems. Detecting emerging scientific topics is paramount as it enables industries, policymakers, and innovators to adapt their strategies, investments, and regulations proactively. As the common approach for detecting emerging technologies, despite being useful, bibliometric analyses may suffer from oversimplification and/or misinterpretation of complex interdisciplinary trends. In addition, relying solely on domain experts to pinpoint emerging technologies from science and technology trends might restrict the ability to systematically analyze extensive information and introduce subjective judgments into the interpretations. To overcome these drawbacks, in this work, we present an automated artificial intelligence-enabled framework, called WISDOM, for (1) detecting emerging research themes using advanced topic modelling and weak signal analysis, and (2) generating candidate labels for identified themes to assist experts. The proposed approach can assist strategic planners and domain experts in more effectively recognizing and tracking trends related to emerging topics by swiftly processing and analyzing vast volumes of data, uncovering hidden cross-disciplinary patterns, and offering unbiased insights, thereby enhancing the efficiency and objectivity of the detection process. As the case technology, we assess WISDOM's performance in identifying emerging research as well as its trends, in the field of underwater sensing technologies using scientific papers published between 2004 and 2021.
{"title":"WISDOM: An AI-powered framework for emerging research detection using weak signal analysis and advanced topic modelling","authors":"Ashkan Ebadi , Alain Auger , Yvan Gauthier","doi":"10.1016/j.joi.2025.101759","DOIUrl":"10.1016/j.joi.2025.101759","url":null,"abstract":"<div><div>The landscape of science and technology is characterized by its dynamic and evolving nature, constantly reshaped by discoveries, innovations, and paradigm shifts. Moreover, science is undergoing a remarkable shift towards increasing interdisciplinary collaboration, where the convergence of diverse fields fosters innovative solutions to complex problems. Detecting emerging scientific topics is paramount as it enables industries, policymakers, and innovators to adapt their strategies, investments, and regulations proactively. As the common approach for detecting emerging technologies, despite being useful, bibliometric analyses may suffer from oversimplification and/or misinterpretation of complex interdisciplinary trends. In addition, relying solely on domain experts to pinpoint emerging technologies from science and technology trends might restrict the ability to systematically analyze extensive information and introduce subjective judgments into the interpretations. To overcome these drawbacks, in this work, we present an automated artificial intelligence-enabled framework, called WISDOM, for (1) detecting emerging research themes using advanced topic modelling and weak signal analysis, and (2) generating candidate labels for identified themes to assist experts. The proposed approach can assist strategic planners and domain experts in more effectively recognizing and tracking trends related to emerging topics by swiftly processing and analyzing vast volumes of data, uncovering hidden cross-disciplinary patterns, and offering unbiased insights, thereby enhancing the efficiency and objectivity of the detection process. As the case technology, we assess WISDOM's performance in identifying emerging research as well as its trends, in the field of underwater sensing technologies using scientific papers published between 2004 and 2021.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"20 1","pages":"Article 101759"},"PeriodicalIF":3.5,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145718862","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}
While destination attributes are known to shape tourism experiences, there is limited understanding of what specific attributes contributing to cultural tourism experience. To address this gap, the study aims to identify destination attributes contributing to cultural tourism experiences from the tourists' perspective and develop a multi-dimensional measurement scale. In-depth interviews identified the key dimensions of destination attribute. Four datasets (n = 1009) from seven Chinese cities (i.e., Guangzhou, Luoyang, Nanjing, Shanghai, Hangzhou, Suzhou, and Yangzhou) were used to validate the scale's structural, discriminant, and predictive validity. This research extends the destination attributes model and offers a conceptual framework for enhancing cultural tourism experiences. Practically, the study provides destination managers with a tool to evaluate and improve the specific attributes that influence tourists' cultural experiences.
{"title":"Identifying and measuring destination attributes contributing to cultural tourism experience","authors":"Ganghua Chen , Shengdong Hong , Zongkun Guo , Songshan Huang","doi":"10.1016/j.tmp.2025.101444","DOIUrl":"10.1016/j.tmp.2025.101444","url":null,"abstract":"<div><div>While destination attributes are known to shape tourism experiences, there is limited understanding of what specific attributes contributing to cultural tourism experience. To address this gap, the study aims to identify destination attributes contributing to cultural tourism experiences from the tourists' perspective and develop a multi-dimensional measurement scale. In-depth interviews identified the key dimensions of destination attribute. Four datasets (<em>n</em> = 1009) from seven Chinese cities (i.e., Guangzhou, Luoyang, Nanjing, Shanghai, Hangzhou, Suzhou, and Yangzhou) were used to validate the scale's structural, discriminant, and predictive validity. This research extends the destination attributes model and offers a conceptual framework for enhancing cultural tourism experiences. Practically, the study provides destination managers with a tool to evaluate and improve the specific attributes that influence tourists' cultural experiences.</div></div>","PeriodicalId":48141,"journal":{"name":"Tourism Management Perspectives","volume":"60 ","pages":"Article 101444"},"PeriodicalIF":6.9,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145730665","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}
John R. Busenbark, Robert Campbell, Diego Villalpando
Academy of Management Journal, Volume 0, Issue ja, -Not available-.
管理学院学报，第0卷，第ja期，-不可用-。
{"title":"Moderately Fast and Furious: A Screening and Behavioral Theory of New CEO Strategic Action Speed","authors":"John R. Busenbark, Robert Campbell, Diego Villalpando","doi":"10.5465/amj.2024.0829","DOIUrl":"https://doi.org/10.5465/amj.2024.0829","url":null,"abstract":"Academy of Management Journal, Volume 0, Issue ja, -Not available-. <br/>","PeriodicalId":6975,"journal":{"name":"Academy of Management Journal","volume":"34 1","pages":""},"PeriodicalIF":10.5,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145732838","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}
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