{"title":"Environmental regulation and green innovation: The moderating roles of green finance and executive green perception","authors":"Lujia Ma, Shuaihe Zhuo","doi":"10.1016/j.jik.2026.100954","DOIUrl":"10.1016/j.jik.2026.100954","url":null,"abstract":"<div><div>Amid escalating global climate pressures and environmental degradation, the pursuit of sustainable development has intensified scholarly interest in the link between environmental regulation and green technological innovation. This study offers a comprehensive examination of how environmental regulation shapes green technological innovation, with specific emphasis on the moderating effects of green finance and executive green perception. Using a double fixed-effects model and panel data from Chinese A-share listed companies from 2010 to 2023, we find that environmental regulation significantly promotes green technological innovation. Baseline regressions show that a one-unit increase in regulatory stringency corresponds to an approximately 27.4% increase in green patent output. Green finance operates as an important catalyst by reducing the risks and costs inherent in green R&D, while executive green perception aligns corporate decision-making with sustainable innovation objectives. Heterogeneity analyses reveal that regulatory impacts vary substantially across industries, regions, and firm life-cycle stages, underscoring the need for differentiated policy design. Key transmission channels—including the easing of financial constraints and the enhancement of corporate environmental, social, and governance (ESG) performance—further support green innovation indirectly. These findings provide actionable insights for optimizing environmental regulation, strengthening green finance, and enhancing executive green perception to advance sustainable development and accelerate the transition to a green economy.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"14 ","pages":"Article 100954"},"PeriodicalIF":15.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146014257","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":"Why proximity to regional innovation centers matters: A new perspective on green innovation bubbles","authors":"Teng Wang , Jiaoren Lu , Xiaotong Li","doi":"10.1016/j.jik.2026.100966","DOIUrl":"10.1016/j.jik.2026.100966","url":null,"abstract":"<div><div>While regional innovation centers (RICs) can encourage corporate green innovation, firms may opportunistically exaggerate their green innovation activities under RICs’ spatial influence, thereby engendering green innovation bubbles. We theorize that geographic proximity to RICs shapes these bubbles by influencing firms’ capability and motivation to exaggerate green outputs. The results indicate that (1) proximity to RICs exhibits an inverted U-shaped relationship with corporate green innovation bubbles; (2) green strategic orientation (GSO) positively moderates this relationship, steepening the inverted U-shaped curve among firms with higher GSO; and (3) political connections shift the peak of the curve, with bubble formation peaking and declining at greater geographic distances. Overall, this study enhances our understanding of geographic influences on green innovation from a strategic response perspective. Moreover, it highlights organizational heterogeneity’s role in shaping how firms interpret and respond to geographic influences.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"14 ","pages":"Article 100966"},"PeriodicalIF":15.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146109856","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}
Giuseppe Ceci , Andrea Ancona , Antonio Iovanella , Eleonora Veglianti
{"title":"Entrepreneurial and innovation ecosystems: a scoping review on the complexity of nested configurations","authors":"Giuseppe Ceci , Andrea Ancona , Antonio Iovanella , Eleonora Veglianti","doi":"10.1016/j.jik.2026.100973","DOIUrl":"10.1016/j.jik.2026.100973","url":null,"abstract":"<div><div>Entrepreneurial ecosystems (EEs) and innovation ecosystems (IEs) are conceptualised as distinct constructs, yet their interplay remains theoretically fragmented. This study addresses this gap through a scoping review of 48 peer-reviewed publications, investigating how the literature conceptualises their intersection. Guided by complex systems theory, our analysis reveals four nested configurations that emerge from the selected papers: startup ecosystems, entrepreneurial university ecosystems, entrepreneurial innovation ecosystems, and regional innovation ecosystems. These configurations are classified along two dimensions: (i) the dominant orientation of the ecosystem, which leans towards either an entrepreneurial or innovation logic; and (ii) the prevailing form of complexity, shaped by bottom-up or top-down dynamics. Our findings reveal that each configuration varies to the extent to which entrepreneurial processes are embedded within broader innovation structures or how innovation dynamics are driven by entrepreneurial foundations. We also identify systems where complex dynamics originate either at the micro-level or at the macro-level, subsequently influencing the other dimension. Thus, by showing that EEs and IEs can coexist within nested configurations than as separate domains, this study contributes to ecosystem literature and to the theoretical development of complex systems theory. The analysis advances conceptual understanding by explaining how these configurations are shaped by different forms of complexity: bottom-up dynamics are grounded in effectuation logics, and top-down patterns reflect causation and coordinated strategies. The study offers practical guidance for policymakers and ecosystem orchestrators, as it shows how governance strategies can be aligned with the specific systemic dynamics of each configuration.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"14 ","pages":"Article 100973"},"PeriodicalIF":15.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146153280","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 do firms use tacit knowledge in virtual brand communities to improve innovation performance? Based on virtual social capital perspective","authors":"Jian Zheng, Xiaocui Li, Fen Wang, Cheng Wang, Yingzhen Chen","doi":"10.1016/j.jik.2026.100953","DOIUrl":"10.1016/j.jik.2026.100953","url":null,"abstract":"<div><div>In the context of virtual brand communities (VBCs) and based on social capital theory, this study investigates the effect of each dimension of tacit knowledge (TK) on firm innovation performance (FIP) and the mechanism of the digital dimension of virtual social capital driving the improvement of FIP through the TK transmission chain. This study also examines the moderating effect of social media capability (SMC) on the relationship between TK and FIP. This study uses 647 samples collected from Chinese firms and employs the structural equation model and hierarchical regression analysis to conduct empirical tests. The three dimensions of TK have significant positive effects on FIP, among which skill-based tacit knowledge is the most notable. Network embeddedness has a significant positive effect on cognitive TK and social TK. Digital trust only has a significant positive effect on social TK. Sharing cognition has a significant positive effect on the three dimensions of TK. Social media proficiency has a positive moderating effect on the three dimensions of TK and FIP. Conversely, social media agility only has a positive moderating effect on social TK and FIP. This study tries to divide the dimensions of TK in VBCs, while also clarifying the function path of virtual social capital to improve FIP through TK. Additionally, it explores the moderating effect of SMC on OBL and FIP. This study’s findings provide theoretical support and practical inspiration for firms to use TK from VBCs to improve FIP.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"14 ","pages":"Article 100953"},"PeriodicalIF":15.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146032728","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 digital transformation shapes employee creativity: Insights from the ability-motivation-opportunity framework and qualitative comparative analysis","authors":"Ye Yang , Ling Yuan , Songlin Yang , Ziyi Liu","doi":"10.1016/j.jik.2026.100950","DOIUrl":"10.1016/j.jik.2026.100950","url":null,"abstract":"<div><div>As digital technology and innovation-driven strategies become central to corporate strategy, fostering employee creativity has emerged as a critical objective of digital transformation. However, extant research predominantly relies on linear methods and net-effect analyses, failing to adopt a configurational perspective that can elucidate the synergistic mechanisms among the factors shaping creativity during digital transformation. Based on the ability-motivation-opportunity (AMO) framework, this study integrates individual and contextual factors and employs fuzzy-set qualitative comparative analysis (fsQCA) to analyze three-wave survey data from 305 employees, thereby identifying the configurational paths that lead to high radical and incremental creativity. This approach addresses a key limitation in current research by capturing the complex, nonlinear causal mechanisms often overlooked by conventional analytical frameworks. The findings reveal that seven factors—digital transformation, digital transformational leadership, harmonious passion, obsessive passion, external search, intuitive cognitive style, and analytical cognitive style—combine to form three distinct configurations for radical creativity and three for incremental creativity. Specifically, harmonious passion is a common core condition for radical creativity, whereas digital transformation and digital transformational leadership act as substitutive antecedents. This study contributes a novel configurational understanding of employee creativity during digital transformation, highlighting the complementary and substitutive roles of AMO elements, and offers practical guidance for firms to stimulate contextually appropriate creativity.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"14 ","pages":"Article 100950"},"PeriodicalIF":15.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145996549","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}
Roberto Cerchione, Renato Passaro, Ivana Quinto, Viviana Sicardi
{"title":"How circular start-ups are shaping the future of entrepreneurial ecosystems","authors":"Roberto Cerchione, Renato Passaro, Ivana Quinto, Viviana Sicardi","doi":"10.1016/j.jik.2026.100955","DOIUrl":"10.1016/j.jik.2026.100955","url":null,"abstract":"<div><div>In a context marked by environmental challenges and the urgency for sustainable innovation, circular start-ups (CSUs) are recognised for their ability to drive organisational, cultural, and systemic change through adaptive and collaborative approaches. This research examines the crucial function of CSUs in promoting sustainable entrepreneurial ecosystems (SEEs) through an exploratory multiple case study analysis of Italian start-ups across several sectors. Empirical evidence was obtained mainly through primary data, while additional secondary sources were included to strengthen the contextual reliability of the study. The findings reveal that CSUs operate as dynamic agents capable of shaping open yet cohesive networks, leveraging digital technologies, and integrating sustainability principles across value chains. By employing self-organising structures, fostering cross-sectoral collaborations, and adhering to circular economy principles, these start-ups facilitate the dissemination of revolutionary business strategies and the evolution of entrepreneurial ecosystems into more resilient, inclusive, and regenerative systems.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"14 ","pages":"Article 100955"},"PeriodicalIF":15.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146072152","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}
Mohsin Ali Soomro , Ali Nawaz Khan , Shabir Hussain Khahro , Yasir Javed
{"title":"AI capability, knowledge integration, and cognitive barriers: Innovation pathways for circular economy practices in construction","authors":"Mohsin Ali Soomro , Ali Nawaz Khan , Shabir Hussain Khahro , Yasir Javed","doi":"10.1016/j.jik.2026.100948","DOIUrl":"10.1016/j.jik.2026.100948","url":null,"abstract":"<div><div>The transformative potential of artificial intelligence (AI) is prompting construction organizations to redefine the concept of progress. However, the transition from digital capability to a higher-level sense of innovation is not inevitable. This research delves into the effect of AI capability on innovation-driven circular economy (CE) practices, providing evidence that technological advances alone do not drive change without an enabling cognitive and organizational environment. We adopt the lens of sociotechnical systems (STS) theory to conceptualize knowledge integration as the mechanism by which AI capability leads to CE practice adoption and cognitive rigidity as the inhibitor that reduces the positive effect of knowledge integration. Structural equation modeling and moderated mediation tests are applied to a survey of 414 construction professionals. Results suggest that AI capability promotes new ways of working and CE practices indirectly through its influence on knowledge integration; however, this influence is attenuated when cognitive rigidity hampers knowledge integration. The research extends STS theory into a domain of innovation management by integrating its cognitive, technical, and organizational elements. Our findings offer practical implications for industry practitioners, suggesting that building CE capacity goes beyond adopting digital technology; it also involves fostering cognitive agility and robust knowledge exchange mechanisms to enable those technologies to translate into innovation.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"14 ","pages":"Article 100948"},"PeriodicalIF":15.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146033949","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}
Claudia Spilotro , Michele Posa , Giustina Secundo , Ivano De Turi
{"title":"Disclosing the twin transition: digital and green transformation in Italian universities from an institutional perspective","authors":"Claudia Spilotro , Michele Posa , Giustina Secundo , Ivano De Turi","doi":"10.1016/j.jik.2026.100964","DOIUrl":"10.1016/j.jik.2026.100964","url":null,"abstract":"<div><div>The intertwined agendas of digitalisation and sustainability have propelled the ‘twin transition’ to the forefront of scholarship and policy, yet its articulation in higher education remains insufficiently understood. Adopting an institutional theory lens, we examine how Italian universities disclose their twin transition efforts, analysing the most recent strategic documents from 97 institutions using a mixed-methods design. Through an exploratory content analysis, we develop two novel breadth indicators, the Digital Transition Disclosure Breadth Index and the Green Transition Disclosure Breadth Index, which inform a k-means cluster analysis of disclosure profiles. Five archetypes emerge: Laggers, Digital Sprinters, Green Climbers, Twin Shapers, and Twin Masters, revealing pronounced heterogeneity and a prevalence of selective or symbolic reporting. Building on this, we theorise disclosure as a field-level mechanism shaped by coercive, normative, and mimetic pressures, and propose a conceptual framework of five strategic orientations: inertia, competition, compliance, integration, and innovation, which map how universities negotiate competing digital–green logics. The study contributes by offering a systematic mapping of twin disclosure in universities, introducing replicable twin-transition indices, advancing twin-transition research with sector-specific evidence, and extending institutional theory through a framework that connects disclosure orientations with isomorphic dynamics and organisational agency. Implications point to the need for joint twin transition metrics, robust data and knowledge infrastructures, and integrative governance within universities, alongside calibrated policy instruments that encourage balanced, verifiable disclosure and accelerate substantive twin-transition progress.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"14 ","pages":"Article 100964"},"PeriodicalIF":15.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146135455","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-driven sustainable development: Analysing the impact of digital technology on synergistic governance of pollution and carbon reduction","authors":"Yang Shen , Xiuwu Zhang , Xinzi Wang","doi":"10.1016/j.jik.2026.100978","DOIUrl":"10.1016/j.jik.2026.100978","url":null,"abstract":"<div><div>Air pollution and carbon emissions have a common source. Determining how to achieve coordinated emission reduction between the two is crucial for advancing sustainable development. Although digital technology (DT) is often regarded as an important tool for sustainable development, it remains uncertain whether it can simultaneously achieve dual benefits for the environment and climate. Based on a balanced panel data set of 269 cities in China from 2006 to 2023, this study empirically examined the impact of digital technology on the synergistic governance of pollution and carbon reduction (SGPCR) using dual machine learning. The results show that DT has a significant positive impact on SGPCR. This positive effect is nonlinear, starting slowly and then accelerating. From the perspectives of DT applications, big data analysis, intelligent manufacturing, the Internet of Things, artificial intelligence, and blockchain technology, these technologies contribute to enhancing co-benefits in the economy and society. The results of the mechanism analysis show that the positive impact of digital technology on collaborative emission reduction is achieved through channels such as promoting green technological innovation, enhancing energy efficiency, and driving the agglomeration of digital industries. The results of heterogeneity tests based on different standards show that the positive role of DT is more pronounced in non-resource-based cities, regions with a higher intensity of ecological protection and civilisation construction, and cities with more complete digital infrastructure.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"14 ","pages":"Article 100978"},"PeriodicalIF":15.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146190174","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 knowledge of ethical AI decision-making: A behavioral economics perspective","authors":"Rita Bužinskienė , Astrida Miceikienė , Álvaro Hernández-Tamurejo , José Ramón Saura","doi":"10.1016/j.jik.2026.100967","DOIUrl":"10.1016/j.jik.2026.100967","url":null,"abstract":"<div><div>Focusing on artificial intelligence (AI) ethics and behavioral economics, this paper demonstrates how integrating behavioral insights can inform ethical guidelines for AI-based systems. Recent developments conceptualize AI as a key to critical sectors such as finance, marketing, and healthcare, thereby prompting a widespread recognition of its potential to reinforce or mitigate societal biases. However, while AI ethics has emphasized technical concerns such as data fairness and algorithmic transparency, insights from behavioral economics remain largely untapped. To bridge this gap in the literature, the present study uses a three-stage methodology. First, a systematic literature review (SLR) is conducted to identify gaps in AI ethics frameworks and to establish how key behavioral economic principles can enhance transparent decision making. Second, in-depth interviews are performed to collect additional insights and to compare how the results compare with those obtained from the SLR. Third, a topic modeling-based model, latent Dirichlet allocation (LDA), supported by the Computer-Assisted Text Analysis (CATA) framework, is applied to the collected interview corpus in order to identify the main topics in the data. The results reveal that ethical AI is increasingly understood by professionals not only as a technical issue but also as a behavioral and organizational one. Specifically, we identify five main topics from the interview content, namely Data & transparency, Behavioral insights & design, Legal/ethical frameworks, Implementation challenges & infrastructure, and Civic/stakeholder engagement. The first three of these topics dominate in the current discourse on AI decision making. The results also reveal that cognitive biases, such as anchoring and confirmation bias, affect the data that feed AI algorithms and user interaction with AI-driven outputs. If these biases remain unaddressed, they can amplify ethical risks. However, awareness of such patterns can inform practical design and governance strategies so as to improve transparency, fairness, and user engagement. Finally, based on the findings, four research proposals are advanced to clarify how behavioral economics can be systematically integrated into ethical AI decision making.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"14 ","pages":"Article 100967"},"PeriodicalIF":15.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146135523","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}