Stefano Abbate , Piera Centobelli , Maria Di Gregorio , Giuditta Pagnotto Mogrovejo
{"title":"Exploring the configurations and evolutionary dynamics of industrial symbiosis networks: A complex adaptive systems-based perspective","authors":"Stefano Abbate , Piera Centobelli , Maria Di Gregorio , Giuditta Pagnotto Mogrovejo","doi":"10.1016/j.jik.2026.100974","DOIUrl":"10.1016/j.jik.2026.100974","url":null,"abstract":"<div><div>Industrial symbiosis (IS) is a collaborative strategy where an innovation ecosystem promotes the shift towards circular and sustainable models by enabling the exchange of resources, energy, and by-products among businesses. The existing literature has paid limited attention to analysing the different network configurations that these ecosystems can adopt and their effects on long-term resilience and sustainability. Building on the complex adaptive systems (CAS) theory, this paper proposes a taxonomy to underpin the evolution of IS networks, aiming to identify and characterise several potential network structures of increasing complexity, from internal reuse and bilateral exchange to distributed and hybrid configurations. This research examines how network configurations affect the system's capacity to respond to external shocks, evolve, and produce collective benefits. Finally, this paper provides a valuable theoretical framework for understanding self-organisation mechanisms in IS and offers valuable insights for designing more robust and adaptive networks and circular economy policies.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"14 ","pages":"Article 100974"},"PeriodicalIF":15.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146190176","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":"Mismatch in perceptions and knowledge? Prominent entrepreneurial resources through collaborative workspaces for social entrepreneurs","authors":"Chen Gao","doi":"10.1016/j.jik.2026.100956","DOIUrl":"10.1016/j.jik.2026.100956","url":null,"abstract":"<div><div>Social enterprises are increasingly taking advantage of local collaborative workspaces (CWSs) in rural areas to access entrepreneurial resources. CWSs are vital supporters for social enterprises to thrive and amplify their impact on rural development. However, despite the critical functions of CWSs in the entrepreneurial ecosystem for social enterprises, there are significant disparities in the perceptions of essential resources between CWS operators and social entrepreneurs. These disparities may lead to inefficiencies in the programs and events set by CWSs aiming at promoting social entrepreneurship, as entrepreneurs may have different demands. Therefore, this divergence needs to be discovered and strategically addressed within CWSs and the broader ecosystem. This empirical study conducted in-depth interviews with four CWS managers and nine social entrepreneurs in Germany and Austria, using Socio-Technical Configuration Analysis to summarise the perceived critical resources, and interpreted the mismatches across entrepreneurial stages. The analysis revealed what social entrepreneurs demand and where CWSs should improve across development stages. The findings justify tailored strategies aimed at enhancing the effectiveness of CWSs and strengthening collaboration with relevant actors. This actor-centric approach, combined with ecosystem and network thinking, also elucidates necessary and contingent entrepreneurial resources and the uniqueness of the social entrepreneurial ecosystem in rural areas. Knowledge about the entrepreneurial ecosystem for social entrepreneurship will inform the promotional strategies of CWSs to achieve social innovation.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"14 ","pages":"Article 100956"},"PeriodicalIF":15.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146056043","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":"Lost in transmission: Knowledge, academia and the origins of design thinking","authors":"Mark Parry , Griffin W. Cottle","doi":"10.1016/j.jik.2026.100969","DOIUrl":"10.1016/j.jik.2026.100969","url":null,"abstract":"<div><div>Concerns about the declining relevance of academic research overlook the significant role that scholars have played in developing both the process and key concepts behind one of the most well-known approaches used to teach entrepreneurship and innovation today: Design thinking. This study traces the foundational academic texts that led to the creation of key concepts in practitioner-oriented discussions of design thinking, and examines the obstacles that slowed their diffusion across both academic disciplines and practitioner settings. To do so, we focus on three distinct types of concepts: mindset concepts (i.e., those spanning multiple stages, such as assumption surfacing, collaboration, empathy, and visualization), ideation concepts (e.g., idea volume, deferred judgment, and divergent thinking), and the creative process. We explore the implications of the historical evolution of design thinking for ensuring that scholarly contributions to practice do not go unknown or unrecognized within academia, and conclude by offering a set of recommendations concerning how the incentives might be altered to make room for closer collaboration between science and practice.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"14 ","pages":"Article 100969"},"PeriodicalIF":15.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146160338","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":"Organisational self-identity policy analyser: An innovative AI-driven approach","authors":"Dr. Aliyu Sani Sambo , Dr. Dennis Gabriel Pepple","doi":"10.1016/j.jik.2026.100972","DOIUrl":"10.1016/j.jik.2026.100972","url":null,"abstract":"<div><div>Organisational self-identification (OSI) refers to a shared understanding of an organisation’s collective identity. This identity shapes the organisational culture, employee engagement and commitment, and overall performance. While policy documents define rules and interactions, both their substance and tone reinforce or diminish the OSI. However, traditional policy reviews often overlook whether the language and tone of these documents truly reflect organisational values. In this study, we introduce an AI-powered sentiment analysis framework that offers a novel and systematic approach to evaluate OSI alignment in policy texts. Our OSI Sentiment Analyser combines a customised lexicon with rule-based scoring to identify and classify sentiments at multiple levels while ensuring transparency, explainability, and respect for privacy. The analyser was validated across 78 public policies (where it achieved over 90 % agreement with expert judgement) and further tested in two NHS hospital trusts as case studies. The proposed framework not only supports evidence-based policy refinement but also fosters inclusive and value-driven communication. Its modular design promises broad application, from employee surveys to strategic organisational messaging. Accordingly, it advances both theory and practice in organisational identity analytics.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"14 ","pages":"Article 100972"},"PeriodicalIF":15.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146134334","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":"Upstream innovation effect of downstream competition: How Does Volume-based Procurement Shape Pharmaceutical Innovation Strategies?","authors":"Yanghui Zheng , Fenxia Shan , Shengjia Zhou","doi":"10.1016/j.jik.2026.101075","DOIUrl":"10.1016/j.jik.2026.101075","url":null,"abstract":"<div><div>This study examines how volume-based procurement policies reconfigure innovation trajectories in pharmaceutical enterprises from a knowledge-based perspective. Analysing panel data from listed pharmaceutical companies, this research shows that this procurement mechanism triggers a strategic recombination of knowledge assets, fundamentally altering innovation priorities and resource allocation patterns. The principal theoretical contribution emerges from identifying a dual-path response mechanism that procurement pressures stimulate firms’ R&D investment while simultaneously promoting knowledge-intensive innovation restructuring. Specifically, enterprises reallocate innovation resources away from low-value and repetitive patenting towards higher-quality innovation activities, reflecting distinct knowledge recombination strategies under policy-induced constraints. Methodologically, this research introduces a novel framework for assessing innovation strategy reorientation through multidimensional indicators, including patent portfolios, strategic patent withdrawal behaviour, knowledge recombination, and original innovation capacity. The empirical results show heterogeneous responses across enterprises, with research intensity and market positioning functioning as critical moderating factors. This research offers strategic implications for pharmaceutical enterprises navigating policy-driven market transformations and contributes towards innovation and upgrading of the pharmaceutical industry.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"14 ","pages":"Article 101075"},"PeriodicalIF":15.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148241836","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 enhances firm performance: Underlying knowledge and mechanisms from the perspective of value creation","authors":"Lulu Cheng , Nan Mei , Guodong Yi","doi":"10.1016/j.jik.2026.100952","DOIUrl":"10.1016/j.jik.2026.100952","url":null,"abstract":"<div><div>The performance implications of digital transformation (DT) have been extensively scrutinized; however, few studies have focused on the mechanisms that boost performance. This study investigates the potential benefits of digital transformation (DT) from a value creation perspective within the value creation-appropriation (VCA) framework. Using panel data from listed firms in China, we show that DT improves firm performance by simultaneously enhancing innovation capability and reducing cost stickiness, two critical determinants of efficient value creation. We also identify customer concentration and relative capital intensity—key structural bases of value creation activities—as moderating these value creation mechanisms. Specifically, customer concentration weakens the positive effect of DT on innovation capability, while relative capital intensity strengthens both the innovation-enhancing and cost-reducing effects of DT. These findings contribute to existing literature on DT by revealing the underlying mechanisms linking digital initiatives to economic outcomes and identifying critical contingencies that shape this relationship.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"14 ","pages":"Article 100952"},"PeriodicalIF":15.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146032725","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 configurations of industrial internet platforms’ empowerment for the integration of industrial and innovation chains: An fsQCA approach","authors":"Haijun Wang, Huiyan Zhao","doi":"10.1016/j.jik.2026.100962","DOIUrl":"10.1016/j.jik.2026.100962","url":null,"abstract":"<div><div>Amid the challenges arising from deglobalization and market volatility, modernizing industrial systems requires the integration of industrial and innovation chains (“dual-chain integration”). Industrial internet platforms (IIP) have demonstrated potential to facilitate dual-chain integration, but their empowerment mechanisms remain theoretically and practically underspecified. To address this research gap, this study examines how platform capabilities drive dual-chain integration through a configuration analysis of 46 IIP cases. Applying the technology-organization-environment (TOE) framework with necessary condition analysis (NCA) and fuzzy-set qualitative comparative analysis (fsQCA), we identify three distinct platform empowerment patterns: technology-organization internal drive, multi-core resonance dominant, and ecological embedded leap. Resource integration capability consistently emerges as a universal empowerment factor across all pathways. Under specific objective conditions, the innovation capabilities of architecture and industry foundation of IIP can achieve high levels of dual-chain integration through equivalent substitutions. This study constructs a context-adaptive theoretical framework, providing a new analytical paradigm for addressing the pathway dependency issues in empowering the dual-chain integration of IIP.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"14 ","pages":"Article 100962"},"PeriodicalIF":15.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080133","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 artificial intelligence innovation networks on collaborative governance of urban pollution reduction and carbon reduction","authors":"Xue Han , Weixiang Xu , Jianping Zhou","doi":"10.1016/j.jik.2025.100926","DOIUrl":"10.1016/j.jik.2025.100926","url":null,"abstract":"<div><div>Urban pollution and carbon reduction synergy (UPCRS) has become key to achieving sustainable urban development. Research on artificial intelligence’s (AI’s) impact on urban pollution control and carbon emission management is relatively well-established. However, studies examining the influence of AI innovation networks (AIIN) on UPCRS from a network perspective still require significant improvement and further development. Using data from 282 Chinese cities, this study constructs AIIN indicators through AI cooperative patents, measures urban pollution and carbon emission synergy index (UPCESI) by employing urban pollution index (PI) and carbon emission intensity (CEI) data and subsequently examines AIIN’s impact on UPCRS using double machine learning methods. Results indicate that: (1) AIIN generates UPCRS through channels such as green innovation promotion, industrial structure upgrading and economic efficiency enhancement. (2) In cities with strong environmental regulation, high market integration levels and high resource dependence, the UPCRS effects of AIIN are more significant. (3) The position of cities’ AIIN has differentiated impacts on UPCESI. These conclusions offer new insights for advancing UPCRS governance in line with the Sustainable Development Goals.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"14 ","pages":"Article 100926"},"PeriodicalIF":15.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145996547","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":"Is cybersecurity outsourcing always effective? Strategic organisational insights and knowledge in the era of digitalisation","authors":"Alessandro Annarelli , Silvia Colabianchi , Fabio Nonino , Eugenio Oropallo , Giulia Palombi","doi":"10.1016/j.jik.2026.100939","DOIUrl":"10.1016/j.jik.2026.100939","url":null,"abstract":"<div><div>Today, organisations heavily depend on the data and information that flow through their interconnected systems. As a result of this dependence, a cyber threat can pose significant risks to the uninterrupted functioning of business operations, the unauthorised acquisition of sensitive information, and damage to the organisation's reputation. Cybersecurity awareness is now a top priority for organisations operating in a rapidly changing and highly interconnected environment. The debate regarding the optimal choice between managing cybersecurity practices internally and outsourcing is evolving in this context. Prior research has examined the advantages and disadvantages of both solutions. However, there is still a lack of research on the disparities in the efficacy of cybersecurity practices between internally managed and outsourced cybersecurity processes.</div><div>This research aims to fill this gap by proposing a survey questionnaire based on a five-point Likert scale and using a Mann-Whitney U test for the hypothesis analysis, analysing the efficacy of outsourcing and internal management in cybersecurity managerial protocol actions defined using the NIST model framework. The sample surveyed consists of 153 respondents with expertise in cybersecurity or IT practices. Furthermore, a binary logistic regression analysis was conducted to investigate how these practices significantly impact the choice of an outsourcing policy.</div><div>The results indicated notable disparities in the efficacy of internal management versus external cybersecurity outsourcing. Outsourcing is associated with higher perceived effectiveness of disciplinary procedures, whereas internal management is associated with higher perceived effectiveness in safeguarding log information and applying lessons learned to improve recovery strategies.</div><div>Beyond the operational dimension, the findings highlight how cybersecurity management serves as a catalyst for organisational learning and knowledge creation. Internal cybersecurity practices tend to foster experiential learning, codification of tacit knowledge, and continuous feedback loops that enhance resilience. Conversely, outsourcing models often promote managerial innovation through exposure to external expertise and the transfer of specialised knowledge across organisational boundaries.</div><div>With these results, this study offers a deeper understanding of cybersecurity management literature and provides a valuable resource for firms seeking to customise their cyber protocols to fit their organisational context.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"14 ","pages":"Article 100939"},"PeriodicalIF":15.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146032726","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":"Unveiling the impact of artificial intelligence on corporate misconduct, the perspective of information asymmetry","authors":"Mingyang Zou, Yang Yang","doi":"10.1016/j.jik.2026.100971","DOIUrl":"10.1016/j.jik.2026.100971","url":null,"abstract":"<div><div>The increasing application of artificial intelligence (AI) technology in enterprises is attracting significant academic attention owing to its role in fostering corporate innovation. This study, grounded in the resource integration perspective of the dynamic capability theory, employs data from Chinese listed companies for the period 2011–2022 to investigate the distinct pathways through which AI influences both technological and process innovations within enterprises. The findings indicate that AI enhances the efficiency and quality of corporate innovation by improving resource integration efficiency and optimizing the innovation decision-making process. Additionally, the study elucidates the moderating effects of the chief information officer and chief technology officer on the relationship between AI adoption and enterprise innovation. To ensure the robustness of the results, a Poisson regression model was applied to address the characteristics of count data, and nine robustness tests were conducted to mitigate potential endogeneity issues. This research theoretically extends the understanding of the interplay between AI technology, resource integration, and enterprise innovation, offering valuable insights for practical applications. It assists enterprises in optimizing resource integration via digital technologies and promoting high-quality innovation activities.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"14 ","pages":"Article 100971"},"PeriodicalIF":15.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146190175","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}