Journal of Innovation & Knowledge最新文献

{"title":"How digital transformation shapes employee creativity: Insights from the ability-motivation-opportunity framework and qualitative comparative analysis","authors":"Ye Yang ,&nbsp;Ling Yuan ,&nbsp;Songlin Yang ,&nbsp;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}

{"title":"How circular start-ups are shaping the future of entrepreneurial ecosystems","authors":"Roberto Cerchione,&nbsp;Renato Passaro,&nbsp;Ivana Quinto,&nbsp;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}

{"title":"AI capability, knowledge integration, and cognitive barriers: Innovation pathways for circular economy practices in construction","authors":"Mohsin Ali Soomro ,&nbsp;Ali Nawaz Khan ,&nbsp;Shabir Hussain Khahro ,&nbsp;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}

{"title":"Disclosing the twin transition: digital and green transformation in Italian universities from an institutional perspective","authors":"Claudia Spilotro ,&nbsp;Michele Posa ,&nbsp;Giustina Secundo ,&nbsp;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 ,&nbsp;Xiuwu Zhang ,&nbsp;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 ,&nbsp;Astrida Miceikienė ,&nbsp;Álvaro Hernández-Tamurejo ,&nbsp;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 &amp; transparency, Behavioral insights &amp; design, Legal/ethical frameworks, Implementation challenges &amp; 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}

{"title":"Consumer intentions to purchase wines with Blockchain and quick-response code tracking: Insights from an extended stimulus–organism–response model","authors":"Ángel Peiró-Signes ,&nbsp;Nino Adamashvili ,&nbsp;Magdaléna Tupá ,&nbsp;Antonino Galati","doi":"10.1016/j.jik.2026.100944","DOIUrl":"10.1016/j.jik.2026.100944","url":null,"abstract":"<div><div>Consumers’ demand for transparency, authenticity and safety in food and beverage products continues to rise. Blockchain technology (BCT) and quick-response (QR) codes have emerged as powerful tools for enhancing product traceability. Understanding the psychological and behavioural mechanisms underlying consumers’ acceptance of such technologies is crucial for producers and policymakers alike. Therefore, this study explores the factors influencing consumers’ intention to purchase wines traceable through BCT and QR codes through an extended stimulus–organism–response model enriched with constructs from the theory of perceived risk. A survey was conducted in February 2025 with a sample representative of the Italian population (<em>N</em> = 1001). The collected data were analysed using a validated partial least squares structural equation modelling approach to examine how external stimuli (transparency and traceability, diagnosticity, subjective norms and facilitating conditions), individual perceptions (perceived value, trust and usefulness), emotional responses (hedonic perception), risk perception, and BCT knowledge shape consumers’ purchase intention. The results show that diagnosticity and transparency significantly enhance perceived value, which in turn strongly influences purchase intention. While knowledge of BCT positively affects hedonic perception, it has a limited effect on perceived usefulness or trust, highlighting that technological familiarity is not a dominant driver of technology adoption. However, hedonic perception emerges as the strongest predictor of purchase intention, highlighting the importance of designing engaging and enjoyable traceability experiences. Social and contextual factors, particularly subjective norms and facilitating conditions, significantly affect perceived usefulness, which in turn contributes to purchase intention. Perceived risk has a significant but relatively small effect on purchase intention. The model explains 68.1% of the variance in purchase intention, offering novel insights for technology developers, marketers and policymakers seeking to foster consumers’ acceptance of digital traceability in the wine sector.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"13 ","pages":"Article 100944"},"PeriodicalIF":15.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977674","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":"Corporate alignment to innovation and knowledge: detecting patterns in multidimensional impact across global industries","authors":"Alexandra Horobet ,&nbsp;Arindam Banerjee ,&nbsp;Ioana-Alexandra Radu ,&nbsp;Cosmin-Alin Botoroga","doi":"10.1016/j.jik.2025.100917","DOIUrl":"10.1016/j.jik.2025.100917","url":null,"abstract":"<div><div>This study examines the impact of a commitment to Sustainable Development Goal 9 (SDG 9) objectives by exploring sectoral and regional disparities in how companies aligned with this goal leverage digital technologies and knowledge, foster innovation ecosystems, and deliver measurable contributions to sustainable infrastructure development. Using the SDG-aligned revenue share as the main metric for SDGs commitment across 5,323 global companies provided by the Upright platform, we employed a machine-learning-based k-means clustering algorithm to detect patterns of net impacts created across the Society, Knowledge, Health, and Environment (SKHE) dimensions. We also uncovered sectoral and geographical patterns of the companies investigated. Our findings show that alignment with SDG 9 (Industry, Knowledge, and Innovation) is associated with corporate commitment to SKHE dimensions, as well as sectoral and, to some extent, geographical scope. The results offer practical implications for investors, policymakers designing regulations and guidelines to improve sustainability disclosure, and company executives who are developing sustainability strategies.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"13 ","pages":"Article 100917"},"PeriodicalIF":15.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145785781","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":"Are net zero emissions a priority for able CEOs?","authors":"Isabel-María García-Sánchez","doi":"10.1016/j.jik.2026.100945","DOIUrl":"10.1016/j.jik.2026.100945","url":null,"abstract":"<div><div>It is vital for society to understand the climate ambitions of corporate leaders, as the commitments and actions they promote to address global warming can help create a more sustainable future for all. Furthermore, the endeavour to attain net zero will engender an irrevocable transformation of business as we know it. In this paper, we assess how companies respond to climate change, using a score that measures their strategic and operational efforts to achieve net zero emissions. For a balanced data panel of 5047 international companies in the period 2015–2022, our evidence shows that firms led by able CEOs present an upper level of implementation and progress with their climate action plan, better anticipating global challenges. In the case of less able CEOs, their interest arises as a response to solutions proposed for economic recovery or new needs in terms of energy management, derived from the disruptive events in the period 2020–2022, or appears in a company with stronger governance mechanisms that limit the CEO’s discretion.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"13 ","pages":"Article 100945"},"PeriodicalIF":15.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977673","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":"Environmental, organizational, and individual determinants of AI adoption: A multilevel knowledge and analysis","authors":"Flávio Tiago ,&nbsp;António Almeida","doi":"10.1016/j.jik.2025.100934","DOIUrl":"10.1016/j.jik.2025.100934","url":null,"abstract":"<div><div>This study examined the determinants of artificial intelligence (AI) adoption in small- and medium-sized enterprises (SMEs) through a comprehensive dual-methodology approach. Drawing on the <strong>C</strong>ountry-<strong>H</strong>uman resources-<strong>A</strong>doption/technological-<strong>IN</strong>dividual <strong>AI</strong> adoption (CHAIN-AI) framework, we integrated different theoretical currents, namely, the Technology-Organization-Environment (TOE) framework, the Technology Acceptance Model (TAM), and Regret Theory (RT), to analyze adoption patterns across multiple levels. Our research methodology encompassed two distinct phases. First, we conducted a macro-level analysis using Eurobarometer (2023) survey data to examine AI adoption trends across European SMEs. Second, we administered an online survey to 186 digital marketing professionals to investigate micro-level adoption behaviors and attitudes. Study 1 revealed significant correlations between AI adoption rates and organizational characteristics, including firm size, sector, and geographic location. Larger and service-oriented firms demonstrated higher adoption propensities. Macroeconomic indicators such as gross domestic product (GDP) and innovation capacity were positively correlated with adoption rates, whereas cultural dimensions, particularly long-term orientation (LTO), exhibited negative correlations. Study 2 illustrated the psychological and organizational mechanisms underlying AI adoption, with perceived usefulness (PU) emerging as the primary predictor of behavioral intention. In contrast, perceived ease of use (PEOU) showed non-significant effects on adoption outcomes. Post-adoption regret (R) negatively influenced both attitudes and behavioral intentions toward AI implementation. This study contributes to the literature on technology adoption by providing an empirically grounded framework for understanding the dynamics of AI adoption in SMEs. This model offers evidence-based recommendations for policy development and organizational implementation strategies.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"13 ","pages":"Article 100934"},"PeriodicalIF":15.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145927113","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}