Journal of Innovation & Knowledge最新文献

{"title":"Impact of artificial intelligence on project management (PM): Multi-expert perspectives on advancing knowledge and driving innovation toward PM2030","authors":"Laurie Hughes ,&nbsp;Reza Kiani Mavi ,&nbsp;Masoud Aghajani ,&nbsp;Keith Fitzpatrick ,&nbsp;Senali Madugoda Gunaratnege ,&nbsp;Seyed Ashkan Hosseini Shekarabi ,&nbsp;Richard Hughes ,&nbsp;Ahmad Khanfar ,&nbsp;Ahdieh Khatavakhotan ,&nbsp;Neda Kiani Mavi ,&nbsp;Keyao Li ,&nbsp;Moataz Mahmoud ,&nbsp;Tegwen Malik ,&nbsp;Sashah Mutasa ,&nbsp;Farzaneh Nafar ,&nbsp;Ross Yates ,&nbsp;Rasha Alahmad ,&nbsp;Il Jeon ,&nbsp;Yogesh K. Dwivedi","doi":"10.1016/j.jik.2025.100772","DOIUrl":"10.1016/j.jik.2025.100772","url":null,"abstract":"<div><div>The project management profession is undergoing transformative change with the integration of Artificial Intelligence (AI), redefining core methodologies and decision-making processes. As societal expectations rise and technological complexity intensifies, project managers face unprecedented challenges. By 2030, AI-driven predictive insights and modelling capabilities are expected to significantly enhance efficiency, raising critical questions about the evolving role of human project managers. Will AI take the lead in key decisions, or will human attributes such as creativity, ethical judgment, and emotional intelligence remain essential? Framed as <em>PM2030</em>, this study explores future scenarios through expert insights from academia and industry. Using an opinion-based approach, we introduce two conceptual models: the AI-Augmented Ethics-Centric Model and the Predictive Model for AI Adoption and Human Trust. These models offer a forward-looking vision of project management shaped by automation, ethics, and human-AI collaboration. This study contributes to the growing discourse on the human-centric evolution of AI-enabled project management.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 5","pages":"Article 100772"},"PeriodicalIF":15.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145049366","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":"The Role of Artificial Intelligence and Knowledge in Enhancing Corporate Sustainability","authors":"José Andrés Gómez Gandía,&nbsp;Antonio de Lucas Ancillo,&nbsp;María Teresa del Val Núñez","doi":"10.1016/j.jik.2025.100792","DOIUrl":"10.1016/j.jik.2025.100792","url":null,"abstract":"&lt;div&gt;&lt;h3&gt;Purpose&lt;/h3&gt;&lt;div&gt;This study explores the potential of artificial intelligence (AI) in advancing sustainability within business practices. It focuses on three key areas: &lt;strong&gt;optimising energy efficiency, developing sustainable products and services&lt;/strong&gt;, and &lt;strong&gt;improving waste and resource management&lt;/strong&gt;. By integrating AI into these domains, companies can achieve significant advancements in operational efficiency, market competitiveness, and environmental responsibility.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Findings&lt;/h3&gt;&lt;div&gt;&lt;strong&gt;Optimisation of Energy Efficiency&lt;/strong&gt;&lt;/div&gt;&lt;div&gt;AI-powered systems enable real-time monitoring and management of energy usage in businesses. Machine learning algorithms can forecast energy demand, automate adjustments, and optimize operational processes to minimise excessive consumption. These systems lead to substantial reductions in energy costs and carbon emissions, contributing to financial savings and environmental sustainability.&lt;/div&gt;&lt;div&gt;&lt;strong&gt;Development of Sustainable Products and Services&lt;/strong&gt;&lt;/div&gt;&lt;div&gt;AI can process vast quantities of market data and consumer behaviour to detect trends and preferences related to sustainability. This allows companies to design products that meet these demands, incorporating environmentally friendly materials and processes. AI-driven innovation facilitates the creation of products that meet consumer needs while minimising environmental impact, thereby increasing market share and enhancing brand reputation.&lt;/div&gt;&lt;div&gt;&lt;strong&gt;Improvement of Waste and Resource Management&lt;/strong&gt;&lt;/div&gt;&lt;div&gt;Effective waste and resource management is crucial for sustainable business practices. AI technologies can optimise these processes by analysing material flows and identifying opportunities for recycling and reuse. Predictive analytics can anticipate waste generation patterns, allowing proactive measures to reduce them. AI also enhances resource allocation and utilisation, promotes more efficient use of materials and reduces waste.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Discussion&lt;/h3&gt;&lt;div&gt;Integrating AI into business operations boosts efficiency and profitability while aligning activities with global sustainability objectives. AI systems provide tools for significant operational improvements, helping companies meet environmental and social expectations. Furthermore, the development of sustainable products through AI positions companies as leaders in responsible innovation, enhancing their competitiveness in the market.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Originality&lt;/h3&gt;&lt;div&gt;This study is innovative in its comprehensive approach to using AI across multiple aspects of business sustainability. The combination of energy efficiency, sustainable product development, and waste management represents a novel perspective that offers a holistic strategy for corporate sustainability. Its originality lies in the simultaneous application of these technologies to achieve both positive environmental outcomes and signif","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 5","pages":"Article 100792"},"PeriodicalIF":15.5,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144913038","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":"Innovation in your blood? Exploring the influence of culture on national-level innovation performance in the European Union","authors":"Márk Végh ,&nbsp;István Szabó ,&nbsp;Alexandra Kovács","doi":"10.1016/j.jik.2025.100791","DOIUrl":"10.1016/j.jik.2025.100791","url":null,"abstract":"<div><div>This study investigates the influence of national cultural values on innovation performance across European Union (EU) member states, applying Hofstede’s six-dimensional cultural model along with the 2024 Summary Innovation Index. Addressing major gaps in prior research—including the lack of EU-focused, longitudinal analyses and limited alignment between theoretical claims, and empirical testing—the study applies a two-stage design. In the first stage, multiple regression analysis identifies indulgence (IND) as a robust, statistically significant predictor of innovation performance, while individualism (IDV) gains significance only in a reduced model, despite extant literature. In the second stage, t-tests demonstrate that neither IND nor IDV significantly distinguishes countries that improved their innovation group ranking between 2017 and 2024. These findings indicate that while permissive and individualistic cultures are associated with higher baseline innovation capacity, they do not drive innovation advancement over time. Thus, cultural values represent important but not decisive structural elements within national innovation systems. Long-term progress appears to be more strongly shaped by other factors; for instance, institutional, political, and structural conditions. Consequently, innovation policies should be culturally informed rather than culturally determined—recognising the role of culture without overemphasising its influence.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 5","pages":"Article 100791"},"PeriodicalIF":15.5,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144913037","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":"Deconstructing the environmental innovation-governance-firm value nexus: Evidence from European industrial and technology companies","authors":"Alexandra Horobet ,&nbsp;Ioannis Kostakis ,&nbsp;Arindam Banerjee ,&nbsp;Lucian Belascu","doi":"10.1016/j.jik.2025.100790","DOIUrl":"10.1016/j.jik.2025.100790","url":null,"abstract":"<div><div>This study examines the relationship between environmental innovation and firm valuation between 2019 and 2023, within a broader framework that includes governance and macroeconomic variables. This study employs Bayesian model averaging and random forest methodologies to analyse how environmental innovation impacts the market value of European companies in the industrial and information technology (IT) sectors, taking into account firms’ existing performance levels. The findings reveal significant differences in the factors driving valuation in the two sectors: environmental product scores positively influence market value for overvalued industrial companies, and profitability is the primary determinant of value for IT firms. There are distinct patterns between overvalued and undervalued companies in both sectors. Financial leverage and governance quality are more important for undervalued firms in the industrial sector; market risk plays a bigger role for their counterparts in the IT sector. Environmental variables are only moderately important determinants of value when compared to financial metrics, but their influence varies by firm sector and performance. These results empirically demonstrate that the relationship between environmental innovation and financial value is highly context-dependent. For corporate managers, the findings suggest that a sector-specific and performance-targeted approach to environmental innovation is required. For policymakers, they suggest regulatory frameworks should be tailored to economic sectors and support environmental innovation by firms in the short run before expecting long-term benefits.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 5","pages":"Article 100790"},"PeriodicalIF":15.5,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144902892","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 collaboration to green transformation: How strategic alliances drive green total factor productivity through dynamic capabilities?","authors":"Xinxing Wei,&nbsp;Gang Fang,&nbsp;Xianyun Yu","doi":"10.1016/j.jik.2025.100783","DOIUrl":"10.1016/j.jik.2025.100783","url":null,"abstract":"<div><div>The escalating environmental crises have led to the emergence of strategic alliances as a pivotal open innovation mechanism driving circular transitions. This study pioneers an investigation by systematically examining how strategic alliances enhance the green total factor productivity (GTFP) of firms. Utilizing a balanced panel dataset of Chinese industrial listed firms (2012–2022), the results confirm that participation in strategic alliances significantly promotes firms’ GTFP. Based on the dynamic capabilities theory, the mediation analysis reveals that enhancing the green cognition of firms’ senior management and local (rather than national) standard-setting levels serves as a critical mechanism through which alliances elevate GTFP. Consistent with the Porter hypothesis, the moderation analysis identifies stringent environmental regulation as catalytic institutional forces amplifying alliance effectiveness in improving GTFP. Furthermore, heterogeneity analyses across regions and industries delineate boundary conditions, emphasizing the significant impact of external environments and sectoral conditions on green transformation, moving beyond universal claims of “whether alliances matter” towards exploring “where and why they matter most.” This study contributes to the theoretical research on strategic alliances and the circular economy. Moreover, it offers valuable insights for firms’ decision makers to leverage alliance networks for innovating circular business models and for policymakers to optimize environmental governance frameworks for circular transition.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 5","pages":"Article 100783"},"PeriodicalIF":15.5,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144902891","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":"Sustainable auditing governance in a changing landscape: Cross-country evidence on the effect of traditional and innovative audit mechanisms on fraud risk","authors":"Isabella Lucuț Capraș ,&nbsp;Monica Violeta Achim ,&nbsp;Birjees Rahat ,&nbsp;Giuseppe Nicolò","doi":"10.1016/j.jik.2025.100798","DOIUrl":"10.1016/j.jik.2025.100798","url":null,"abstract":"<div><div>This study examines how audit-related governance mechanisms influence corporate fraud risk, utilising data from 1025 non-financial EU firms between 2018 and 2023. The dependent variable, fraud risk, is proxied by the Beneish M-Score. The independent variables examined comprise six key audit characteristics: the existence of an audit committee, audit committee financial expertise, audit fees, mandatory auditor rotation, the reporting line of the internal audit function, and external assurance of non-financial reports. The theoretical framework integrates agency theory and stakeholder/legitimacy theory, suggesting that both traditional and innovative audit mechanisms may deter financial misreporting. Methodologically, the panel Estimated Generalised Least Squares method with cross-sectional weights was employed. Empirical results show that all the considered audit characteristics significantly affect fraud risk in the expected direction. In particular, traditional agency-based mechanisms (audit committee presence, financial expertise, and lower audit fees) and legitimacy-driven innovative practices (auditor regular rotation, independent internal audit reporting, and external non-financial reporting assurance) are each associated with lower fraud risk. These relationships remain robust when using an alternative statistical technique (Generalised Method of Moments) and a different measure for the dependent variable. Our research holds significant implications as it provides valuable insights for scholars and regulators focused on reducing earnings manipulation and improving integrity within EU capital markets.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 5","pages":"Article 100798"},"PeriodicalIF":15.5,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144902893","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":"Shaping sustainability: Circular economy development through digital technology innovation","authors":"Jinhui Zheng ,&nbsp;Meiyu Guo ,&nbsp;Kevin Lo","doi":"10.1016/j.jik.2025.100784","DOIUrl":"10.1016/j.jik.2025.100784","url":null,"abstract":"<div><div>Digital technology innovation has become a key driver of sustainable development, but its impact on the circular economy has been little explored theoretically or empirically. This study uses panel data from 279 cities in China from 2011 to 2022 to measure the circular economy development index in four key dimensions: production systems, living systems, development momentum, and development benefits. Combining panel fixed effect, mediation effect, spatial econometric, and threshold models, we quantify the mechanism of the impact of digital technology innovation on the circular economy and analyze its spatial spillover effects. The results show that digital technology innovation significantly promotes the development of the circular economy in Chinese cities by reducing energy consumption intensity and promoting industrial structure upgrading. Moreover, digital technology innovation has a spatial spillover effect on the circular economy and promotes the development of the circular economy in surrounding cities through the “demonstration effect.” Heterogeneity analysis of geographical location and resource endowment shows that digital technology innovation plays the most significant role in promoting the circular economy in eastern, central, and non-resource-based cities. In addition, with digital technology innovation and natural resource dependence as threshold variables, the impact of digital technology innovation on the circular economy shows the characteristics of a U-shaped relationship and a marginal decline, respectively. These findings have multiple theoretical implications. Our support for a broad framework for comprehensively evaluating the impact of digital technology innovation on circular economy development makes a significant contribution to the literature on digital technology and the circular economy. This study emphasizes the digitalization of urban sustainable development and provides practical guidance for policymakers on implementing differentiated decisions related to the circular economy. The study explores relevant scholarly debate and provides valuable insights and a basis for cities to implement strategic decisions regarding the development of the circular economy.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 5","pages":"Article 100784"},"PeriodicalIF":15.5,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144902324","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":"Government digital subsidies and corporate digital technology innovation: Evidence from Chinese listed companies","authors":"Changqi Tao ,&nbsp;Xinyi Li ,&nbsp;Ye Xu","doi":"10.1016/j.jik.2025.100797","DOIUrl":"10.1016/j.jik.2025.100797","url":null,"abstract":"<div><div>In the digital economy, corporate digital technology innovation is considered pivotal for reshaping industrial competitiveness and establishing national strategic advantages. Using data from China's A-share listed companies from 2007 to 2023, this study examines the influence of government digital subsidies on corporate digital technology innovation and its underlying mechanisms. Government digital subsidies are identified using the BERT language model. Meanwhile, International Patent Classification information is employed to discern digital patents, as a measure of corporate digital technology innovation. The findings reveal that government digital subsidies significantly stimulate corporate digital technology innovation, with this result remaining robust across multiple robustness checks and endogeneity controls. Mechanism analysis reveals three mechanisms: alleviating financing constraints, enhancing R&amp;D willingness, and strengthening digital strategic deployment. Furthermore, government digital subsidies have significantly stronger effects on digital strategic deployment in firms with a CEO who has an IT background and firms with a high level of artificial intelligence application. Heterogeneity analysis reveals that the incentive effects are more pronounced in non-state-owned, growth stage, small firms, and firms located in regions with higher marketization levels or digital economic policy intensity. Further analysis shows that digital subsidies effectively promote both digital technology integration and pure digital technology innovations. However, digital innovation quality is negatively affected. This stems from the perverse “quantity-oriented” incentives of subsidies, which drives firms to prioritize application volume over technical depth. These findings contribute to government digital subsidy and digital innovation research while providing important implications for managers to achieve sustainability in the digital transformation context.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 5","pages":"Article 100797"},"PeriodicalIF":15.5,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144893901","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":"Exploring the financial impact of digital transformation: A comprehensive analysis on firms","authors":"Melih Sefa Yavuz ,&nbsp;Hasan Sadık Tatlı ,&nbsp;Gözde Bozkurt","doi":"10.1016/j.jik.2025.100795","DOIUrl":"10.1016/j.jik.2025.100795","url":null,"abstract":"<div><div>This study aims for an in-depth exploration into the effects of digital transformation on firms’ financial performance and how this impact can be measured. The research employs a two-stage method to evaluate firms’ digitalization processes. In the first stage, keywords related to digitalization are extracted from annual reports through text mining, and digital transformation strategies in five different sectors are analyzed. Based on these analyses, the return of digitalization (ROD) ratio is developed to assess the effects of digital transformation. In the second stage, a panel data analysis is conducted to examine the impact of digitalization and the ROD ratio on a firm’s performance. The research findings clearly indicate that digital transformation generates positive effects on firms’ financial performance. It also appears that digitalization provides a competitive advantage, particularly in areas such as operational efficiency and brand value. Firms with a high ROD ratio, which can be used as an indicator of digital transformation investments, demonstrate stronger financial performance. The ROD ratio has emerged as a critical indicator that effectively measures the financial outcomes of digital transformation.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 5","pages":"Article 100795"},"PeriodicalIF":15.5,"publicationDate":"2025-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144892101","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":"Risks and benefits of artificial intelligence deepfakes: Systematic review and comparison of public attitudes in seven European Countries","authors":"Nik Hynek ,&nbsp;Beata Gavurova ,&nbsp;Matus Kubak","doi":"10.1016/j.jik.2025.100782","DOIUrl":"10.1016/j.jik.2025.100782","url":null,"abstract":"<div><div>This study provides an evidence-based integrated appraisal of artificial intelligence (AI)-generated deepfakes by integrating a cross-disciplinary literature synthesis with original opinion-poll evidence from seven European countries. A SWOT matrix distils convergent concerns—weaponised disinformation, privacy erosion, and the detection arms race—alongside under-explored opportunities in education, therapy, and creative industries. To test whether these scholarly themes resonate with citizens, a computer-assisted web survey (N = 7,083) measured perceived risks and benefits across 10 specific scenarios for each theme. Correspondence analysis and Bonferroni-adjusted means reveal a pronounced age gradient for benefits, whereas risk perceptions vary by country—younger cohorts are noticeably less alarmed only in Sweden, France, and Czechia. Geographically, Dutch, German, British, and Italian publics prove the most enthusiastic: the United Kingdom (UK) couples similar enthusiasm with markedly higher risk vigilance, whereas Czech and Swedish respondents remain consistently sceptical, underscoring a broad, though imperfect, west/south versus central/north divide. The Netherlands, Germany, the UK, and Italy value pro-social applications (i.e., realistic crisis drills, public-interest campaigns, and therapeutic ‘mental-health’ avatars), with the Netherlands topping four benefit items and Italy favouring commercial/entertainment uses such as virtual brand ambassadors. By contrast, Czech and Swedish respondents assign uniformly low benefit scores. Juxtaposed with risk perceptions, the UK and Czechia register the greatest vigilance, Sweden the most relaxed, and others intermediate. Divergence seems associated with digital literacy levels and regulatory maturity. The survey reveals a statistically and practically significant gap between perceived risks and benefits: across all seven countries, respondents, on average, rate risks higher than advantages. Regression estimates indicate that advancing age, lower household income, and gender (woman) enlarge this gap—primarily by undermining perceived benefits—whereas tertiary education and residence in certain western or southern European countries—notably, Germany and Italy—are associated with more balanced appraisals. This study concludes that layered governance, interoperable detection standards, and targeted literacy programmes are urgently required.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 5","pages":"Article 100782"},"PeriodicalIF":15.5,"publicationDate":"2025-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144888655","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}