Journal of Innovation & Knowledge最新文献

{"title":"Elevating entrepreneurship with generative artificial intelligence","authors":"Yaojie Li ,&nbsp;John Kirk Ring ,&nbsp;Dan Jin ,&nbsp;Saleh Bajaba","doi":"10.1016/j.jik.2025.100820","DOIUrl":"10.1016/j.jik.2025.100820","url":null,"abstract":"<div><div>Generative artificial intelligence (GenAI) transforms the entrepreneurial landscape by providing contextual information, identifying viable opportunities, and facilitating entrepreneurial decision-making. Despite the growing acknowledgment of its use in entrepreneurial activities, this field lacks a robust theoretical framework and practical implementation. This study seeks to fill this gap by drawing on information behavior literature to explore the effect of GenAI across the entrepreneurial spectrum. By leveraging large language models and prompt engineering patterns, we examined how GenAI could generate accurate, relevant, and inspiring content through various interaction scenarios. Our findings suggest that GenAI significantly mitigates early-stage entrepreneurial information asymmetry and supports sophisticated problem-solving when coupled with appropriate domain knowledge and prompt engineering techniques. However, GenAI’s task complexity limits its use in late-stage entrepreneurial exploitation activities. Finally, this study provides insight into research avenues and practical applications.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 6","pages":"Article 100820"},"PeriodicalIF":15.5,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145103961","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":"Artificial intelligence, knowledge and human resource management: A systematic literature review of theoretical tensions and strategic implications","authors":"Mercedes Úbeda-García,&nbsp;Bartolomé Marco-Lajara,&nbsp;Patrocinio C. Zaragoza-Sáez,&nbsp;Esther Poveda-Pareja","doi":"10.1016/j.jik.2025.100809","DOIUrl":"10.1016/j.jik.2025.100809","url":null,"abstract":"<div><div>This article studies the interaction between artificial intelligence (AI) and human resource management (HRM) through a bibliometric analysis of 203 articles published between 2002 and 2024 in the Web of Science database. The analysis identifies six fundamental strategic research themes, ranging from automation and predictive analysis to the personalisation of the employee experience.</div><div>The paper illustrates the growing importance of AI and HRM, evidenced by an exponential increase in publications since 2016, with a significant peak after the COVID-19 pandemic. The conclusions highlight the need for a balanced approach that integrates technological innovation with rigorous ethical principles, particularly in critical areas such as algorithmic transparency, fairness in decision-making and personal data management.</div><div>The research also provides a valuable roadmap for future research and sustainable organisational practices in the digital age, highlighting the importance of addressing emerging challenges such as technostress and the implications of personalisation in hybrid work environments.</div><div>In addition to capturing the ways in which AI is transforming traditional HRM processes and the aspects covered by the literature so far, this paper also establishes a frame of reference for understanding and addressing the evolution of talent management in a rapidly changing technological context.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 6","pages":"Article 100809"},"PeriodicalIF":15.5,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145103967","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":"National innovation beyond linear models: An exploratory QCA of asymmetric pathways to successful and failure-bound innovation strategies of EU economies post-Covid-19","authors":"Fernando Castelló-Sirvent ,&nbsp;Cristina Santos-Rojo ,&nbsp;Juan Manuel García-García","doi":"10.1016/j.jik.2025.100810","DOIUrl":"10.1016/j.jik.2025.100810","url":null,"abstract":"<div><div>This study examines the asymmetric pathways leading to different innovation performance outcomes in the 27 European Union (EU) member states in the years before and after Covid-19. The study offers a novel approach to innovation analysis that contrasts with traditional linear approaches. Crisp-set qualitative comparative analysis (csQCA) was used to analyze variations in innovation performance pre-Covid-19 (2019) and post-Covid-19 (2023) across the 27 EU member states. Data were sourced from the Global Innovation Index (GII), published annually by the World Intellectual Property Organization (WIPO). The analysis focused on five key dimensions: human capital and research, infrastructure, market sophistication, business sophistication, and gross domestic product (GDP). The results reveal configurations (strategies) of these conditions (dimensions) that lead to successful or failed innovation performance. Four strategies lead to success and three lead to failure, with perfect consistency (1.0) observed across all solutions. A key finding is that the decline of market sophistication is a necessary condition for failure. The study also reveals several complex causal relationships, in which similar conditions can produce opposite outcomes depending on their configurational context. The findings contribute to the innovation policy literature by highlighting the importance of developmental approaches to innovation and by challenging the assumption that singular improvements in firm sophistication necessarily lead to higher innovation performance. Moreover, the research provides interesting insights for policymakers and practitioners, particularly in the context of the new EU Competitiveness Compass and the emerging environmental, social, and governance (ESG) regulatory framework. The study offers evidence-based recommendations for designing resilient innovation strategies in post-crisis scenarios.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 6","pages":"Article 100810"},"PeriodicalIF":15.5,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145103960","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":"Knowledge-driven reputation management in higher education institutions","authors":"Dimitrie Stoica,&nbsp;Cristina-Claudia Patriche,&nbsp;Sofia David,&nbsp;Camelia Mădălina Beldiman,&nbsp;Carmelia Mariana Dragomir Bălănică","doi":"10.1016/j.jik.2025.100811","DOIUrl":"10.1016/j.jik.2025.100811","url":null,"abstract":"<div><div>Reputation management is a key strategic priority for higher education institutions (HEIs) in a highly competitive global academic landscape. This study explores the dimensions of HEI reputation, focusing on brand identity, stakeholder perceptions, research impact, internationalization, rankings, and communication strategy. Using a qualitative research design, the study examines data from leading HEIs. Thematic and sentiment analyses offer insights into the complex relationships between HEI performance and stakeholder expectations. The results reveal that HEI reputation is influenced not only by ranking metrics but also by stakeholder engagement, academic excellence, and strategic communication. The study contributes to knowledge by linking theoretical reputation management models with practical institutional strategies, offering valuable recommendations for education leaders and policymakers.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 6","pages":"Article 100811"},"PeriodicalIF":15.5,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145103959","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 adoption, employee depression and knowledge: How corporate social responsibility buffers psychological impact","authors":"Byung-Jik Kim ,&nbsp;Julak Lee","doi":"10.1016/j.jik.2025.100815","DOIUrl":"10.1016/j.jik.2025.100815","url":null,"abstract":"<div><div>This study examines the psychological consequences of artificial intelligence (AI) adoption in organizational contexts, focusing on how it impacts employee depression via the mediating and moderating mechanisms of job insecurity and corporate social responsibility (CSR), respectively. Adopting the broader Stress Process paradigm and employing an integrated theoretical framework that encompasses conservation of resources theory, social identity theory, and job demands-resources theory, we develop and empirically validate a moderated mediation framework utilizing longitudinal data gathered during three temporal intervals from 403 workers employed in South Korean enterprises. The empirical evidence demonstrates that although AI adoption does not directly impact employee depression, it exerts substantial indirect effects through the mediating pathway of job insecurity. Additionally, the analysis shows that CSR functions as a critical organizational resource that moderates the association between AI adoption and job insecurity; specifically, conditions of elevated CSR attenuate this positive association. These findings enhance theoretical understanding of the psychological mechanisms underlying technological transformations in workplace settings and highlight the importance of strategic organizational initiatives in mitigating the mental health challenges associated with AI implementation. They also reveal actionable steps enterprises deploying AI technologies can take, highlighting the imperative of proactively managing workforce concerns regarding employment stability while sustaining robust CSR initiatives throughout periods of technological evolution.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 6","pages":"Article 100815"},"PeriodicalIF":15.5,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145103964","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":"Tackling the AI-Creativity paradox: How educational innovation and knowledge unlocks positive-sum dynamics?","authors":"Guihua Shen ,&nbsp;Wulin Wu ,&nbsp;Weilun Huang","doi":"10.1016/j.jik.2025.100816","DOIUrl":"10.1016/j.jik.2025.100816","url":null,"abstract":"<div><div>Artificial intelligence’s (AI) rapid growth in creative industries has created a difficult choice: While companies can use AI to work faster, this often reduces human creativity and innovation. We show how educational institutions can resolve this by bringing together different groups to work collaboratively rather than competing against each other. We use a mathematical model to study how four key groups interact: creative companies, government regulators, educational institutions, and creative professionals. Our model tracks these interactions over 20 time periods, measuring three important factors: creative resources, trust between groups, and technology advancement. We compare scenarios where education plays different roles, from being a passive follower to active coordinator. Surprisingly, we find that when educational institutions actively coordinate between the other groups, everyone simultaneously benefits. Our 20-period simulation reveals that compared to pursuing automation-only strategies, companies following education-mediated strategies achieved 139 % higher profits (scenario simulation ceiling). Instead of being a zero-sum game, all groups achieved better outcomes together. This is because that educational coordination preserves and enhances creative resources while enabling sustainable technology integration. Thus, education is not simply a cost that responds to technological change. Rather, it is a strategic tool that can transform competitive dynamics into collaborative innovation. Educational institutions provide the long-term perspective, neutrality, and knowledge integration needed to align different interests around sustainable AI-creativity partnerships. However, educational coordination faces profound limitations, including structural power asymmetries wherein multinational corporations possess superior resources compared to individual artists, cultural incompatibilities rendering Western frameworks inappropriate across diverse contexts, and funding challenges undermining institutional neutrality. Rather than providing universal solutions, we offer diagnostic tools for understanding when coordination mechanisms may be feasible. Meanwhile, we also acknowledge that many contexts require alternative approaches or may experience ongoing efficiency-creativity tension as an inevitable feature of contemporary creative industries.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 6","pages":"Article 100816"},"PeriodicalIF":15.5,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145103958","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 systems and co-evolutionary development: A systematic literature review","authors":"Liliya Satalkina ,&nbsp;Gerald Steiner","doi":"10.1016/j.jik.2025.100808","DOIUrl":"10.1016/j.jik.2025.100808","url":null,"abstract":"<div><div>This conceptual article introduces a new perspective on innovation systems by emphasizing their dynamic, co-evolutionary nature. In today’s rapidly changing world, innovation should be understood as a heterogeneous, multidimensional, continuously evolving phenomenon embedded within complex patterns of co-evolutionary development. Although innovation systems have long been recognized as learning systems, this article deepens that perspective by framing learning not only as an internal function of those complex structures but also as a functional mechanism for designing systems interventions that catalyze and guide systemic transitions. Based on a systematic literature review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (i.e., PRISMA) and a qualitative reflective analysis, the article examines innovation systems as complex adaptive structures and conceptualizes them as collaborative learning environments, wherein diverse forms of knowledge and learning enhance a continuous feedback loop between systems interventions and learning processes. A qualitative analysis of 85 academic articles revealed three thematic clusters that consolidate the three dimensions of co-evolution within innovation systems through the interplay of agents, institutions, and innovation habitats: (1) the co-evolutionary landscape, (2) co-evolutionary dynamics and capacities, and (3) knowledge and learning processes. Building on those insights, the article advances the conceptualization of innovation systems as collaborative learning environments and extends that conceptual perspective into an analytical framework and applied mechanism, in which the integration of knowledge becomes an essential link for mutual learning, consensus building, and the co-creation of systems interventions.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 6","pages":"Article 100808"},"PeriodicalIF":15.5,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145059798","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":"Empowering circular economy transformation through immersive digital open innovation","authors":"Aman Ullah ,&nbsp;Horst Treiblmaier ,&nbsp;Sana ,&nbsp;Abderahman Rejeb","doi":"10.1016/j.jik.2025.100812","DOIUrl":"10.1016/j.jik.2025.100812","url":null,"abstract":"<div><div>Despite broad support for sustainability, the transition from linear to circular economic models remains slow and fragmented across industries. Digital technologies such as the metaverse present new opportunities for enabling circular economy (CE) practices, yet their strategic integration within organizational systems is not fully understood. To address this gap, this study proposes and empirically validates a model that explains how metaverse adoption influences CE implementation through the mediating role of Immersive Knowledge Co-Creation <strong>(</strong>IKCC), and the moderating effect of Open Eco-Innovation Capability (OEIC). Grounded in the knowledge-based view (KBV)<strong>,</strong> interactive learning theory, and dynamic capabilities theory, the research develops a process-driven and capability-oriented framework to explore the mechanisms and boundary conditions for digital-enabled circular transformation. Empirical data were collected from 220 respondents in Germany's advanced manufacturing sector and analyzed using partial least squares structural equation modeling. The results confirm that IKCC significantly mediates the relationship between metaverse adoption and CE implementation, and that this mediated relationship is stronger in firms with high OEIC. These findings contribute to the growing body of literature on digital innovation in the CE by highlighting the critical role of immersive collaboration and organizational readiness in driving circular processes.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 6","pages":"Article 100812"},"PeriodicalIF":15.5,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145059787","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 China’s low-carbon city pilot policy on the green innovation of enterprises in the context of carbon neutrality","authors":"Jintao Lu ,&nbsp;Zhencui Li ,&nbsp;Xue-Li Chen ,&nbsp;Xue Yu ,&nbsp;Malin Song","doi":"10.1016/j.jik.2025.100814","DOIUrl":"10.1016/j.jik.2025.100814","url":null,"abstract":"<div><div>China’s low-carbon city pilot policy (LCCPP) plays a crucial role in reducing carbon pollution and promoting green development. It stimulates enterprises’ green innovation (GI), such as through the promotion of circular carbon technologies and energy-efficient practices. However, a negative trend has emerged, wherein enterprises are increasingly focusing on low-end innovation to secure subsidies or comply with regulatory requirements. Despite this situation, few studies have explored the mechanisms driving enterprises’ adoption of either substantial or superficial GI within the LCCPP framework. This study uses data from Chinese A-share listed companies (2007–2022) and employed a difference-in-differences model to analyze the impact of the LCCPP on GI. Results show that while the LCCPP significantly promotes substantive GI, its effect on strategic GI is minimal. The policy primarily promotes substantive GI by increasing public environmental awareness, with managerial myopia moderating this relationship. Heterogeneity analysis reveals that the LCCPP boosts GI in technology-intensive enterprises and those with a high fixed asset ratio. However, it has limited impact on labor-intensive enterprises and those with a low fixed asset ratio. These findings contribute to the existing body of literature on low-carbon pilot policies and offer policy recommendations for enhancing innovation incentives in the context of carbon neutrality.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 6","pages":"Article 100814"},"PeriodicalIF":15.5,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145061382","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":"When buyer transparency really stimulates supplier innovation: A motivation-opportunity-ability perspective","authors":"Wenjing Hou,&nbsp;Suicheng Li,&nbsp;Xinyi Zhang,&nbsp;Huifang Wu","doi":"10.1016/j.jik.2025.100805","DOIUrl":"10.1016/j.jik.2025.100805","url":null,"abstract":"<div><div>While the importance of buyer transparency in supplier innovation has been recognized, its underlying mechanisms remain underexplored. Drawing on the Motivation-Opportunity-Ability (MOA) framework, this study examines the mechanism through which buyer transparency—conceptualized as operations and strategy transparency—affects supplier innovation. The overall measurement model, including a newly developed multidimensional scale of buyer transparency, was validated through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Finally, survey data from 334 Chinese manufacturing suppliers were analyzed using hierarchical regression analysis to test the hypotheses. The results reveal that buyer transparency (opportunity) does not directly enhance supplier innovation. Rather, it does so conditionally through suppliers’ absorptive capacity (ability), customer orientation, and digital trust (motivation). By refining the conceptualization and measurement of buyer transparency, integrating digital trust into the open innovation framework, and empirically examining the contingent role of supplier-side factors, this study advances the literature on supply chain management and open innovation.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 6","pages":"Article 100805"},"PeriodicalIF":15.5,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145049926","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}