Journal of Innovation & Knowledge最新文献

{"title":"Optimizing R&D governance to enhance carbon emission mitigation: A systemic approach to the \"Solow Paradox\" in China","authors":"Xiang Yan ,&nbsp;Changgao Cheng ,&nbsp;Bo Li ,&nbsp;Meiling Shang","doi":"10.1016/j.jik.2025.100829","DOIUrl":"10.1016/j.jik.2025.100829","url":null,"abstract":"<div><div>Building on the HK framework, this study examines the \"Solow Paradox\" between R&amp;D inputs and carbon emissions (CE) in China. We derive a production growth function with a mismatch coefficient from a multisector equilibrium model and use an extendable environmental impact assessment model to investigate the effects of total factor productivity, output shares, and factor allocation on CE. Our findings reveal the following: (1) R&amp;D element mismatches in China are alleviating, with narrowing provincial disparities; (2) mismatches create a 7.606%-11.745% gap between actual and potential R&amp;D outputs; (3) the R&amp;D \"Solow Paradox\" results in CE reductions falling 1.696%-3.602% short of ideal, with a potential annual CE reduction increase of 344.899 million tons if corrected; and (4) ineffective substitution of traditional factors and an imbalanced R&amp;D input structure contribute to regional CE change heterogeneity. While technological advancement is crucial, focusing solely on R&amp;D investment quantity and speed is insufficient under resource constraints. Enhancing R&amp;D investment efficiency and quality and correcting structural and spatial mismatches to optimize existing resources represents a more pragmatic path to achieving dual-carbon goals through front-end R&amp;D element configuration.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 6","pages":"Article 100829"},"PeriodicalIF":15.5,"publicationDate":"2025-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145269548","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 impact of responsible AI usage on users’ behavioral intentions","authors":"Charbel Chedrawi ,&nbsp;Gloria Haddad ,&nbsp;Abbas Tarhini ,&nbsp;Souheir Osta ,&nbsp;Nahil Kazoun","doi":"10.1016/j.jik.2025.100813","DOIUrl":"10.1016/j.jik.2025.100813","url":null,"abstract":"<div><div>Artificial Intelligence (AI) increasingly influences daily life, yet a comprehensive understanding of responsible AI usage, particularly from legal, ethical, and practical perspectives, remains limited. This quantitative study, conducted in Lebanon and grounded in the Unified Theory of Acceptance and Use of Technology (UTAUT), employs Structural Equation Modeling (SEM) to examine responsible AI usage. Findings reveal that Responsible AI practices significantly influence technology adoption, demonstrating positive correlations between model variables and users’ behavioral intentions. The study offers both theoretical and practical implications: theoretically, it extends the UTAUT model by integrating the Responsible AI construct, contributing insights into user behavior in emerging markets; practically, it highlights how Responsible AI shapes user engagement. The paper concludes with recommendations for Lebanese organizations to promote ethical AI practices and implement guidelines encouraging responsible adoption.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 6","pages":"Article 100813"},"PeriodicalIF":15.5,"publicationDate":"2025-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145269549","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":"AI companionship or digital entrapment? investigating the impact of anthropomorphic AI-based chatbots","authors":"Jean-Loup Richet","doi":"10.1016/j.jik.2025.100835","DOIUrl":"10.1016/j.jik.2025.100835","url":null,"abstract":"<div><div>Anthropomorphic AI-based chatbots are reshaping human-machine interactions, enabling users to form emotional bonds with AI agents. While these systems provide companionship and engagement, they also raise concerns regarding digital entrapment: a complex and circular causal loop, progressively distorting relationship expectations, reinforcing emotional dependency, and increasing cognitive strain. This study investigates user perceptions and behaviors toward AI-based chatbots by analyzing 6396 Reddit threads, 47,955 comments, and 270,644 interactions across 24 communities. Using text mining techniques, sentiment analysis, and topic modeling (LDA), we identify dominant discussion themes, including AI companionship, filtering policies, and emotional entanglement with chatbots. Findings reveal that negative sentiment dominates discourses across 24 communities, with users reporting experiences of AI-induced dependency, withdrawal-like symptoms, and chatbot over-personification. Profile of Mood States (POMS) was used to triangulate the sentiment analysis and indicates that confusion and bewilderment are the most prevalent emotional states, often co-occurring with depression and exhaustion. These findings suggest that AI chatbots, while engaging, may contribute to psychological distress and unrealistic relationship expectations. Our research further highlights ethical concerns in AI engagement strategies, particularly regarding romanticized AI interactions and prolonged user retention mechanisms. Based on these findings, we propose policy and design recommendations for mitigating risks related to AI-induced digital entrapment, safeguarding vulnerable users, and enforcing ethical chatbot interactions.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 6","pages":"Article 100835"},"PeriodicalIF":15.5,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145269551","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 impact of green skills and green capabilities on firms’ financial performance: A systematic literature review","authors":"Cece Kócziás,&nbsp;Pelin Demirel","doi":"10.1016/j.jik.2025.100846","DOIUrl":"10.1016/j.jik.2025.100846","url":null,"abstract":"<div><div>Green skills and capabilities in organisations are important enablers of net-zero transition as they determine firms’ ability to adopt sustainability as a core business strategy. This study conducts a systematic literature review of 84 scholarly articles and 7 industry publications to examine the conceptualisation of green skills and green capabilities in firms, their influence on firms’ financial performance, and the factors shaping these complex relationships. Findings reveal that the green skills and green capabilities concepts are broad and ambiguously defined, necessitating greater conceptual clarity, especially with respect to how the green skills and capabilities relate to each other. Accordingly, the study develops a framework outlining different green skill and capability typologies and their interconnections. Additionally, six key performance categories—(1) costs, (2) profitability, (3) efficiency and productivity, (4) firm growth, (5) liquidity, and (6) market performance— are identified inductively, with evidence from the literature indicating that both green skills and green capabilities positively impact each of these areas. Results suggest that while the overall effect of green skills and capabilities on financial performance is positive, several contextual factors, such as firm size, sector, and region, influence this relationship. The study highlights the most significant caveats and their implications, contributing to a more nuanced understanding of the knowledge–performance link for the net-zero transition.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 6","pages":"Article 100846"},"PeriodicalIF":15.5,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145269550","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":"AI automation at an unprecedented scale: mapping its adoption and specialisation","authors":"Sorin Gavrila Gavrila,&nbsp;Ana Paloma de Lucas López,&nbsp;Carolina Verdugo Molano","doi":"10.1016/j.jik.2025.100819","DOIUrl":"10.1016/j.jik.2025.100819","url":null,"abstract":"&lt;div&gt;&lt;div&gt;This paper investigates how Artificial Intelligence (AI) goes beyond traditional technological roles to drive transformation across industries, organisations, and society. By analysing 2188 academic papers from the arXiv platform (from 2018 until 2025), the study highlights the unexpectedly widespread adoption of AI and its increasing specialisation in tasks and organisational functions. The findings reveal AI’s potential to foster innovation, enhance productivity, and address complex challenges. While the focus on academic sources and the exclusion of regional contexts present certain limitations, this research provides critical insights into AI’s evolving role and its implications for businesses, employees, and the conduct of government.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Purpose/aims of the paper&lt;/h3&gt;&lt;div&gt;This study explores how AI has evolved from technical applications to become a key driver of innovation and knowledge creation. It investigates AI’s penetration across industries, organisational areas, and tasks, focusing on its ability to solve complex challenges, reshape business workflows, and enable strategic decision-making in diverse contexts.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Research methodology&lt;/h3&gt;&lt;div&gt;The research employed secondary data analysis of 2188 full-text academic papers sourced from the arXiv platform. Structured keyword extraction, conducted using Large Language Models, identified patterns and relationships between industries, organisational areas, and tasks. Additionally, trends in AI adoption, specialisation, and integration were examined to uncover its transformative impact on organisations and knowledge systems.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Findings/conclusions&lt;/h3&gt;&lt;div&gt;The findings reveal AI’s significant penetration into industries and its increasing specialisation in organisational areas and tasks. Beyond automation, AI fosters task-specific solutions and innovation, addressing organisational challenges and improving productivity. These findings underscore AI’s transformative potential to redefine business practices, enhance collaboration, and drive societal progress by pushing the boundaries of innovation and knowledge creation.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Discussion&lt;/h3&gt;&lt;div&gt;AI’s influence has expanded far beyond technical functions, establishing itself as a strategic tool for innovation, cross-disciplinary problem-solving, and knowledge generation. Its integration into diverse sectors reflects its capacity to foster collaboration and address societal and organisational challenges. Adapting to AI’s rapid evolution is crucial for businesses, employees, and governments navigating this dynamic landscape.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Research limitations&lt;/h3&gt;&lt;div&gt;This study relied on 2188 academic papers from the arXiv platform, centring its findings on academic contexts. Moreover, regional and cultural differences in AI adoption were not addressed. Future research should incorporate broader datasets and interdisciplinary approaches to provide a more comprehen","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 6","pages":"Article 100819"},"PeriodicalIF":15.5,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145269595","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":"Impact of US–China trade demand shocks on industrial Chain resilience: A knowledge and risk management perspective","authors":"Shangfeng Zhang ,&nbsp;Shibo Xu ,&nbsp;Duen-Huang Huang ,&nbsp;Zhenghao Zhang ,&nbsp;Yukun Zheng ,&nbsp;Can Cheng ,&nbsp;Wenxiu Zheng","doi":"10.1016/j.jik.2025.100830","DOIUrl":"10.1016/j.jik.2025.100830","url":null,"abstract":"<div><div>As global economic integration accelerates and international trade grows increasingly complex, trade demand shocks have emerged as a critical factor shaping the resilience of global industrial chains. This study develops a risk identification–resilience evolution–cost recovery framework to analyze the dynamic impact of demand-side trade shocks on industrial chain resilience. We model the effects of trade demand shocks on the inoperability of industrial chains using bi-regional input–output tables for China and the United States (US) to assess the resilience and robustness of sectors. This is achieved by constructing static and dynamic decision models and quantifying economic loss under various investment scenarios. The study analyzes three investment portfolios to examine how investment strategies impact the resilience of Chinese and US industries. The results provide targeted guidance for cross-regional industrial chain risk management, revealing that Chinese and US investments complement one another. China should prioritize manufacturing investment to support short-term recovery and long-term resilience, and the US should focus on the service sector, which has a crucial influence on economic fluctuations and overall stability. These findings offer valuable insights for policymakers seeking to mitigate the impact of external demand shocks while strengthening the international competitiveness and resilience of industrial chains.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 6","pages":"Article 100830"},"PeriodicalIF":15.5,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145268303","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":"How does artificial intelligence impact corporate ESG performance? The catching−up effect of digital technological innovation","authors":"Yinghao Song ,&nbsp;Long Mi ,&nbsp;Zhaian Bian ,&nbsp;Wei Tu ,&nbsp;Juan He","doi":"10.1016/j.jik.2025.100843","DOIUrl":"10.1016/j.jik.2025.100843","url":null,"abstract":"<div><div>Against the backdrop of the deep integration between the digital economy and corporate sustainable development, this study uses the national New Generation Artificial Intelligence Innovation and Development Pilot Zone (AI_IDPZ) policy as a quasi-natural experiment. Based on data from Chinese A-share listed companies from 2009 to 2023, this study employs a difference-in-differences model to empirically examine the impact of artificial intelligence (AI) on corporate environmental, social, and governance (ESG) performance and its underlying mechanisms while revealing the catching-up effect of digital technological innovation through heterogeneity analysis. Results show that the AI_IDPZ policy has a significantly positive impact on corporate ESG performance. The policy systematically enhances firms’ ESG through multiple pathways, including digital transformation, green innovation, and corporate social responsibility information disclosure. This policy effect manifests as a “catching-up effect” of digital technological innovation for ESG laggards in regions with lower digital economic development levels and firms with weaker digital transformation foundations. Specifically, entities with initially weaker technological bases can more effectively use AI technology to narrow their ESG gap with leading counterparts and achieve leapfrog improvements in sustainable development performance through policy empowerment. This catching-up effect is driven by technological innovation and market participation. By expanding the technological innovation perspective in ESG research, this study provides a theoretical foundation for policymakers to optimize region-specific support strategies and for corporate managers to design digital ESG improvement pathways. It also offers new empirical evidence on how technological innovation can drive corporate sustainable development in the digital economy era.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 6","pages":"Article 100843"},"PeriodicalIF":15.5,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145268304","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 influence of the coupling and coordination between artificial intelligence and digital government construction on green economic efficiency","authors":"Fang Xiong ,&nbsp;Yili Chen ,&nbsp;Shuhong Gu ,&nbsp;Xue Li","doi":"10.1016/j.jik.2025.100831","DOIUrl":"10.1016/j.jik.2025.100831","url":null,"abstract":"<div><div>This study analyzes cross-sectional time-series data of 276 prefecture-level Chinese cities for the period 2012–2022. It employs the coupling coordination degree, dynamic spatial models, and threshold models to investigate the coupled and coordinated development (CCD) level between artificial intelligence (AI) and digital government construction (DGC), further, it examines the AI–DGC CCD’s impact on green economic efficiency (GEE). This study reveals that a coupling and coordination mechanism exists between AI and DGC. The AI–DGC CCD enhances local GEE by facilitating industrial structure upgrading and ecosystem resilience, while exerting a nonlinear inverted U-shaped spatial spillover effect on neighboring regions, as confirmed by multiple robustness tests. Heterogeneity analysis demonstrates that the AI–DGC CCD’s impact on GEE is more pronounced in non-resource-dependent cities, as well as those with high levels of digital economy, stringent environmental regulations, and robust intellectual-property protection. Additionally, the AI–DGC CCD’s influence on GEE exhibits a threshold effect based on public environmental concern.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 6","pages":"Article 100831"},"PeriodicalIF":15.5,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145268305","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":"Employees' creative deviance in response to digitalization and knowledge: the mediating role of employees’ Paradox mindset","authors":"Basmah S. Alzamil","doi":"10.1016/j.jik.2025.100845","DOIUrl":"10.1016/j.jik.2025.100845","url":null,"abstract":"<div><div>Advancements in digital technology have enabled organizations to efficiently handle various work tasks and processes through modern technological solutions. Bringing about organizational change is associated with many challenges. Thus, this study examines how employees engage in creative deviance to face the stress of digital tension. This study also examines the intermediate role of the paradox mindset. Paradox theory was used to examine all of the relationships in the study. The study model was analyzed using structural equation modeling (SEM) in Amos. Results of an online survey with 241 employees in the communication and information technology sector in Saudi Arabia revealed that employees engage in creative deviance as a response to digitalization represented in digital leadership. Additionally, paradox mindset functions as an intermediary variable in the relationship between digital leadership and creative deviance. These findings provide valuable insights into tension management within the organizational context. They also broaden the understanding of the paradox theory through its application to employees’ behaviors in times of tension.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 6","pages":"Article 100845"},"PeriodicalIF":15.5,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145268302","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 elephant in the room: Leveraging dynamic capabilities to bridge innovation performance, failure, and learning from failure","authors":"Nabil Amara ,&nbsp;Khalil Rhaiem ,&nbsp;Norrin Halilem","doi":"10.1016/j.jik.2025.100826","DOIUrl":"10.1016/j.jik.2025.100826","url":null,"abstract":"<div><div>Which strategic capabilities simultaneously drive innovation and learning from failures (LFF)? We address this question with two objectives. First, synergies between innovation performance, failures, and LFF strategies are assessed. Second, heterogeneities in the determinants of these processes are explored to identify common and specific predictors for each process. Based on a sample of 436 Canadian SMEs and drawing on the dynamic capabilities theory, we developed an original framework that disentangles the sensing, seizing, and reconfiguring capabilities. The econometric exercise revealed that complementarities between innovation failures and LFF and among LFF strategies emerge through complex interactions. Results show nuances regarding levels of microfoundation capabilities, such as those for seizing when managing innovation and LFF. This study provides practical insights for managers on improving innovation performance and capitalizing on unconventional solutions, such as previous failures. We discuss findings along with their theoretical and practical implications.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 6","pages":"Article 100826"},"PeriodicalIF":15.5,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145269547","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}