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How does the financial sector learn in socio-technical transitions? 金融部门如何在社会技术转型中学习?
IF 10.9 1区 管理学 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2026-01-07 DOI: 10.1016/j.technovation.2026.103467
Cătălina-Alexandra Papari , Friedemann Polzin , Florian Egli , Bjarne Steffen , Tobias S. Schmidt
Socio-technical transitions depend on not only technological innovation and supportive policy but also on the effective allocation of capital to emerging technologies, enabling them to scale beyond the niches in which they initially developed. One key element influencing financing decisions and shifting the financial flow to project realization is how financial actors learn — how they build, share, and use knowledge under uncertainty. This paper lays the groundwork for a theory of financial learning for sustainability transitions by examining how learning processes shape investment decisions in the case of utility-scale wind and solar technologies. Based on 54 expert interviews with stakeholders involved in project finance for renewable energy technologies across eight European countries, we developed a conceptual framework that extends the multi-level perspective by introducing financial learning as a key mechanism in the mainstreaming of niche technologies. We identified 12 distinct types of knowledge and traced how they are shaped and transmitted through specific “learning channels.” The framework highlights where “learn-by-doing” and “learn-by-interacting” channels emerge in financial decision making and offers a basis for identifying leverage points to enhance the adaptiveness of the financial sector. The paper provides a novel theoretical lens for scholars and actionable insights for policymakers aiming to accelerate sustainability transitions. By tracing where financial learning occurs, it also offers practical insights for accelerating capital reallocation and fostering systemic change across regimes beyond energy, such as biodiversity conservation and physical infrastructure.
社会技术转型不仅取决于技术创新和支持性政策,还取决于对新兴技术的有效资本配置,使其能够超越最初发展的利基。影响融资决策和将资金流转向项目实现的一个关键因素是金融行为者如何学习——他们如何在不确定的情况下构建、共享和使用知识。本文通过研究学习过程如何影响公用事业规模的风能和太阳能技术的投资决策,为可持续转型的财务学习理论奠定了基础。基于对8个欧洲国家可再生能源技术项目融资相关利益相关者的54位专家访谈,我们开发了一个概念框架,通过将金融学习作为利基技术主流化的关键机制,扩展了多层次视角。我们确定了12种不同类型的知识,并追踪了它们是如何通过特定的“学习渠道”形成和传播的。该框架强调了“在实践中学习”和“在互动中学习”渠道在金融决策中出现的地方,并为确定杠杆点以增强金融部门的适应性提供了基础。本文为学者提供了一个新的理论视角,为旨在加速可持续转型的政策制定者提供了可行的见解。通过追踪金融学习发生的地方,它还为加速资本重新配置和促进能源以外的制度的系统性变革(如生物多样性保护和物理基础设施)提供了实际见解。
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引用次数: 0
Digital service innovation for smarter production: Servitized-AI progress towards smart products 面向智能生产的数字化服务创新:服务化ai向智能产品迈进
IF 10.9 1区 管理学 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2026-01-06 DOI: 10.1016/j.technovation.2026.103466
Esteban Lafuente , Yancy Vaillant , Ajax Persaud
This paper investigates if the simultaneous integration of servitization and AI-intensive strategies lead manufacturers to develop products with more advanced analytically ‘smart’ capabilities. The proliferation of smart products, equipped with sensors and connectivity, has significantly enhanced value creation through remote monitoring, control, optimization, and autonomy. While the potential of digital technologies from these products is well-recognized, true smart capabilities require more than mere data collection; they necessitate AI-augmented Digital Service Innovation (DSI). This study posits that integrating AI with digital servitization enables manufacturers to develop advanced smart products. Utilizing a unique dataset from 576 Spanish manufacturing firms for 2023, the study employs an ordered probit model with sample selection to assess the impact of servitization and AI-intensive strategies on smart product development. Findings reveal that while both servitization and AI-intensive strategies contribute to the development of analytically smarter products, only the combined implementation significantly advances a product's smart capabilities. This research underscores the critical role of DSI in the progression of smart products through monitoring, control, optimization, and autonomy stages.
本文研究了服务化和人工智能密集型战略的同时整合是否会导致制造商开发具有更先进分析“智能”功能的产品。配备传感器和连接的智能产品的激增,通过远程监控、控制、优化和自主,显著提高了价值创造。虽然这些产品的数字技术的潜力是公认的,但真正的智能功能需要的不仅仅是数据收集;它们需要人工智能增强的数字服务创新(DSI)。本研究认为,将人工智能与数字化服务化相结合,使制造商能够开发先进的智能产品。该研究利用来自2023年576家西班牙制造公司的独特数据集,采用有序概率模型和样本选择来评估服务化和人工智能密集型战略对智能产品开发的影响。研究结果显示,虽然服务化和人工智能密集型战略都有助于开发分析上更智能的产品,但只有结合实施才能显著提高产品的智能能力。这项研究强调了DSI在智能产品通过监测、控制、优化和自治阶段的发展中的关键作用。
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引用次数: 0
Automation — Augmentation of Artificial Intelligence and Human Intelligence 自动化——人工智能和人类智能的增强
IF 10.9 1区 管理学 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2026-01-02 DOI: 10.1016/j.technovation.2025.103462
Rishav Raj , Amit Kumar Srivastava , Ratikanta Behera
We studied how Artificial Intelligence (AI) and Human Intelligence (HI) can substitute (automate) and complement (augment) each other over time. Through the adaptation of the Lotka–Volterra predator–prey model, we provide a mathematical framework to depict the cyclical interaction. These models are supported by real-world examples that highlight how AI and HI co-evolve, continuously optimizing task efficiency. The findings challenge the “either-or” view of automation and augmentation, presenting a nuanced perspective on how AI–HI mutually enhance each other over time.
我们研究了人工智能(AI)和人类智能(HI)如何随着时间的推移相互替代(自动化)和补充(增强)。通过对Lotka-Volterra捕食者-猎物模型的改进,我们提供了一个描述周期性相互作用的数学框架。这些模型由现实世界的例子支持,这些例子突出了AI和HI如何共同进化,不断优化任务效率。研究结果挑战了自动化和人工智能“非此即彼”的观点,对人工智能和人工智能如何随着时间的推移相互增强提出了微妙的观点。
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引用次数: 0
Editorial on emerging technologies, crowdfunding, and entrepreneurship in emerging markets 关于新兴技术、众筹和新兴市场创业的社论
IF 10.9 1区 管理学 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2025-12-31 DOI: 10.1016/j.technovation.2025.103461
Nadia Zahoor , Albert Danso , Jie Wu , Samuel Adomako , Zaheer Khan
This special issue explores how emerging technologies are transforming entrepreneurial finance through crowdfunding in emerging markets. While entrepreneurs in these contexts face institutional voids and limited access to traditional finance, digital technologies such as mobile payments, platform algorithms, and machine learning are enabling new forms of resource mobilization. This editorial highlights three key insights: 1) digital technologies such as mobile payments and platform algorithms are transforming resource mobilization and legitimacy-building for entrepreneurs facing institutional voids; 2) crowdfunding serves not only as an alternative financing mechanism but also as a catalyst for inclusion, resilience, and innovation; and 3) platform governance and algorithmic mediation raise pressing questions of fairness and trust. We outline future research opportunities in digital affordances, informal–formal financing interactions, and policy frameworks for financial inclusion and sustainable development. The discussion advances theoretical perspectives on digitally mediated finance while offering practical guidance for entrepreneurs, policymakers, and development institutions seeking to leverage crowdfunding for venture growth in underrepresented economies.
本期特刊探讨了新兴技术如何通过新兴市场的众筹改变创业融资。虽然这些情况下的企业家面临制度空白和传统金融渠道有限,但移动支付、平台算法和机器学习等数字技术正在实现新形式的资源调动。这篇社论强调了三个关键观点:1)移动支付和平台算法等数字技术正在改变面临制度空白的企业家的资源动员和合法性建设;2)众筹不仅可以作为另一种融资机制,还可以作为包容性、弹性和创新的催化剂;3)平台治理和算法调解提出了公平和信任的紧迫问题。我们概述了未来在数字支持、非正式-正式融资互动以及普惠金融和可持续发展政策框架方面的研究机会。讨论提出了数字中介金融的理论观点,同时为寻求在代表性不足的经济体中利用众筹促进风险增长的企业家、政策制定者和发展机构提供了实践指导。
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引用次数: 0
Literature, the arts, and the societal impact of research 文学、艺术和研究的社会影响
IF 10.9 1区 管理学 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2025-12-30 DOI: 10.1016/j.technovation.2025.103463
Joaquín M. Azagra-Caro , David A. Kirby , Alessandro Muscio
The societal impact of research increasingly extends beyond commercialisation and policy uptake, engaging broader publics through cultural and creative practices. This special issue explores how literature and the arts open alternative pathways for knowledge transfer, public engagement, and societal relevance. We introduce the LASIR model, which conceptualises two complementary mechanisms: direct collaborations between researchers and creative practitioners, and the cultural representation of science and technology in literary and artistic narratives. The contributions examine cases ranging from science-theatre and art–science policy programmes to speculative fiction shaping public imaginaries of artificial intelligence. Together, these contributions advance understanding of how creative practices intersect with research impact, demonstrating how literature and the arts serve as sites where research is co-produced, societal meaning is negotiated, and the cultural legitimacy and practical relevance of science are constructed. The issue calls for expanded innovation policy and research evaluation frameworks that fully recognise creative practices as integral to knowledge valorisation and research impact, and for the development of dedicated funding instruments and evaluation approaches to support them.
研究的社会影响日益超越商业化和政策吸收,通过文化和创造性实践吸引更广泛的公众。本期特刊探讨了文学和艺术如何为知识转移、公众参与和社会关联开辟另一种途径。我们介绍了LASIR模型,它概念化了两个互补的机制:研究人员和创造性从业者之间的直接合作,以及文学和艺术叙事中科学技术的文化表现。这些贡献研究了从科学戏剧和艺术科学政策计划到塑造公众对人工智能想象的投机小说的案例。总之,这些贡献促进了对创造性实践如何与研究影响交叉的理解,展示了文学和艺术如何作为研究共同产生、社会意义协商以及科学的文化合法性和实践相关性构建的场所。这个问题要求扩大创新政策和研究评估框架,充分认识到创造性实践是知识增值和研究影响的组成部分,并要求开发专门的资助工具和评估方法来支持它们。
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引用次数: 0
Leveraging AI and generative AI in urban design and planning: Unveiling advantages and challenges through problem structuring methods 在城市设计和规划中利用人工智能和生成式人工智能:通过问题结构化方法揭示优势和挑战
IF 10.9 1区 管理学 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2025-12-27 DOI: 10.1016/j.technovation.2025.103465
Amali Çipi , Neuza C.M.Q.F. Ferreira , Fernando A.F. Ferreira , João J.M. Ferreira , Florentin Smarandache
The integration of Artificial Intelligence (AI) in general—and its subfield Generative AI (GenAI) in particular—into urban design and planning is revolutionizing traditional methodologies, providing innovative solutions to complex challenges in city development. Despite their transformative potential, existing research underscores a critical need to better understand the multifaceted advantages and challenges associated with these technologies. This study addresses this gap by investigating the causal relationships between the advantages and challenges of AI and GenAI integration in urban design and planning. Leveraging a novel combination of cognitive mapping and neutrosophic DEcision-MAking Trial and Evaluation Laboratory (DEMATEL), the research identifies and evaluates key factors shaping this integration. The findings reveal that dynamic digital city simulations and scenario modeling emerge as the most significant advantages, underscoring their capacity to drive data-informed innovation in urban development. Conversely, ethical concerns surface as the most critical challenge, exhibiting strong interdependencies with other issues, including the “black box” nature of AI systems and the biases embedded in training data. This study provides a comprehensive framework for understanding the interplay between these factors, offering actionable insights to guide both academic research and practical implementation. By addressing a pressing need in the field, the research paves the way for more responsible and effective applications of AI and GenAI in creating smarter, more sustainable urban environments.
将人工智能(AI)——尤其是其子领域生成人工智能(GenAI)——整合到城市设计和规划中,正在彻底改变传统的方法,为城市发展中的复杂挑战提供创新的解决方案。尽管它们具有变革潜力,但现有研究强调,迫切需要更好地了解与这些技术相关的多方面优势和挑战。本研究通过调查人工智能和GenAI集成在城市设计和规划中的优势和挑战之间的因果关系来解决这一差距。利用认知映射和中性决策试验与评估实验室(DEMATEL)的新组合,该研究确定并评估了形成这种整合的关键因素。研究结果显示,动态数字城市模拟和场景建模是最显著的优势,强调了它们在推动城市发展中基于数据的创新方面的能力。相反,道德问题是最关键的挑战,与其他问题表现出强烈的相互依赖性,包括人工智能系统的“黑匣子”性质和训练数据中嵌入的偏见。本研究为理解这些因素之间的相互作用提供了一个全面的框架,为指导学术研究和实际实施提供了可操作的见解。通过解决该领域的迫切需求,该研究为更负责任和更有效地应用人工智能和GenAI铺平了道路,以创造更智能、更可持续的城市环境。
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引用次数: 0
Unraveling the double-edged sword: When and how R&D team-experienced crises foster or hinder team creativity 揭开双刃剑:研发团队经历的危机何时以及如何培养或阻碍团队创造力
IF 10.9 1区 管理学 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2025-12-18 DOI: 10.1016/j.technovation.2025.103436
Zhengwei Li , Wenxin Li , Weize Huang , Jingjiang Liu
Despite the growing significance of team creativity in fostering corporate innovation, its underlying generative mechanisms remain insufficiently explored. This gap limits our understanding of when and how crises experienced by R&D teams either stimulate or inhibit their creativity. Drawing on team adaptation theory, this study seeks to clarify the contradictory effects of R&D team-experienced crises on creativity by identifying two distinct team-level mediating processes: team silence and team reflection. Furthermore, by integrating regulatory focus theory, we uncover critical boundary conditions. Specifically, we argue that R&D team-experienced crises reduce creativity through increased team silence when leaders adopt a predominant trait prevention focus. In contrast, they enhance creativity through increased team reflection when leaders adopt a predominant trait promotion focus. Our research hypotheses are empirically supported by multi-source data derived from 544 questionnaires, including responses from 136 leaders and 408 members of R&D teams. A supplementary experiment was conducted to validate further the causal relationship underlying our hypotheses. These findings provide nuanced insights into the paradoxical effects of crises on R&D team creativity, offering a deeper understanding of the conditions under which crises can either stifle or foster innovation.
尽管团队创造力在促进企业创新方面的重要性日益增加,但其潜在的生成机制仍未得到充分的探索。这一差距限制了我们对研发团队所经历的危机何时以及如何激发或抑制他们的创造力的理解。本研究以团队适应理论为基础,通过识别团队沉默和团队反思两种不同的团队层面中介过程,试图阐明研发团队经历的危机对创造力的矛盾影响。此外,通过整合监管焦点理论,我们揭示了关键的边界条件。具体来说,我们认为研发团队经历过的危机会通过增加团队沉默来降低创造力,当领导者采用主要的预防特征时。相比之下,当领导者采用以晋升为主要特质时,他们会通过增加团队反思来提高创造力。我们的研究假设得到了544份调查问卷的实证支持,其中包括136名领导者和408名研发团队成员的回答。为了进一步验证我们假设背后的因果关系,进行了一项补充实验。这些发现为危机对研发团队创造力的矛盾影响提供了细致的见解,为危机抑制或促进创新的条件提供了更深入的理解。
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引用次数: 0
Where open innovation partnership matters: Phase-specific patterns in R&D project counts for large pharmaceutical firms 开放式创新伙伴关系的重要性:大型制药公司研发项目的阶段特定模式
IF 10.9 1区 管理学 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2025-12-17 DOI: 10.1016/j.technovation.2025.103459
Jingning Ao , David Johnson , Saadet Elif Esposito
Firms are increasingly leveraging open innovation (OI) partnership to access external knowledge and navigate scientific and regulatory challenges. However, large firms differ in how strongly they emphasize OI in public communications, and the implications for various phases of the R&D pipeline remain unclear. This gap is significant because managerial language reflects strategic priorities over the long term; it indicates resource allocation, highlights trade-offs, and shapes stakeholder expectations. We develop and test propositions that link firms' emphasis on OI partnership to the number of active projects across three R&D phases: discovery, experimentation, and commercialization. Using established topic modeling techniques, we analyze annual shareholder letters from 24 large pharmaceutical firms over 20 years to create a continuous, firm-year measure of OI partnership and correlate it with phase-level project counts. Fixed-effects negative binomial models are utilized to investigate whether the expected association patterns are observable in the data. Findings are consistent with a null association in the discovery phase but positive associations in the experimentation and commercialization phases, suggesting different influences across R&D phases, which are critical conditions for achieving project success. This study empirically demonstrates how a firm's emphasis on OI partnership aligns with project activities throughout the R&D pipeline, providing a process-oriented, phase-contingent perspective on OI. Theoretically, by presenting propositions and associational evidence, this work outlines expected relationships within an emerging theoretical domain. Practically, it offers actionable insights for managing external partnerships in high-uncertainty industries, highlighting the need for a nuanced approach to OI adoption to optimize innovation pipelines.
企业越来越多地利用开放式创新(OI)伙伴关系来获取外部知识并应对科学和监管方面的挑战。然而,大公司在公共沟通中强调OI的程度不同,对研发管道的各个阶段的影响仍然不清楚。这一差距之所以显著,是因为管理语言反映的是长期战略重点;它指示资源分配,突出权衡,并塑造涉众的期望。我们开发并测试了将公司对OI伙伴关系的重视与三个研发阶段(发现、实验和商业化)的活跃项目数量联系起来的命题。使用已建立的主题建模技术,我们分析了20年来24家大型制药公司的年度股东来信,以创建OI伙伴关系的连续公司年度度量,并将其与阶段级项目计数相关联。使用固定效应负二项模型来研究预期关联模式在数据中是否可见。研究结果与发现阶段的零关联一致,但与实验和商业化阶段的正关联一致,表明在研发阶段有不同的影响,这是实现项目成功的关键条件。该研究实证地展示了公司对OI伙伴关系的重视是如何与整个研发管道中的项目活动相一致的,提供了一个面向过程的、阶段性的OI视角。从理论上讲,通过提出命题和关联证据,这项工作概述了新兴理论领域内的预期关系。实际上,它为在高不确定性行业中管理外部合作伙伴关系提供了可操作的见解,强调了采用一种细微差别的方法来优化创新管道的必要性。
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引用次数: 0
Extracting technical problems from patent texts to support innovation: Integrating human intelligence with machine learning for electric vehicle battery technologies 从专利文本中提取技术问题以支持创新:将人类智能与电动汽车电池技术的机器学习相结合
IF 10.9 1区 管理学 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2025-12-15 DOI: 10.1016/j.technovation.2025.103457
Sanghyun Park, Sungjoo Lee
Technological advancements are accelerating at an unprecedented rate, making it imperative for companies to maintain their own competitiveness by rapidly developing an understanding of evolving innovation trends. Patents, as rich sources of technological knowledge, contain not only solutions but also valuable information on the technical problems that drive innovation. However, extracting and structuring such problem-oriented information is challenging due to the vast and complex characteristics of patent texts. This study highlights the significance of systematically identifying and analyzing technical problems in patent texts to enhance innovation intelligence. By integrating expert knowledge with machine learning, we propose a methodology to extract and categorize technical problems in such texts, thus enabling the construction of a structured database. The proposed approach was applied to the field of electric vehicle battery technologies. We demonstrate its effectiveness identifying cross-sectoral solutions and discovering potential collaboration partners. The findings underscore the importance of systematically structuring technical problem data to enhance technology intelligence, support R&D decision-making, and facilitate strategic planning. Thus, the proposed methodology can be a valuable tool for supporting innovation.
技术进步正以前所未有的速度加速,这使得企业必须通过快速了解不断变化的创新趋势来保持自身的竞争力。专利作为技术知识的丰富来源,不仅包含解决方案,还包含有关推动创新的技术问题的宝贵信息。然而,由于专利文本的庞大和复杂的特点,提取和构建这些面向问题的信息是具有挑战性的。本研究强调了系统地识别和分析专利文本中的技术问题对提高创新智力的意义。通过将专家知识与机器学习相结合,我们提出了一种方法来提取和分类这些文本中的技术问题,从而能够构建结构化数据库。将该方法应用于电动汽车电池技术领域。我们展示了其有效性,确定跨部门解决方案并发现潜在的合作伙伴。研究结果强调了系统地构建技术问题数据对于增强技术智能、支持研发决策和促进战略规划的重要性。因此,所提出的方法可以成为支持创新的有价值的工具。
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引用次数: 0
On performing boundaries – a microprocessual view of creating boundary space 关于执行边界-创建边界空间的微过程视图
IF 10.9 1区 管理学 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2025-12-11 DOI: 10.1016/j.technovation.2025.103460
Argyro Almpanopoulou , Satu Vesin , Pia Adibe, Kirsimarja Blomqvist
To date, the literature has scarcely addressed the intricacies surrounding the creation of boundary spaces – novel organisational models that operate at the intersection of overlapping spheres or sectoral domains – and the microinteraction dynamics involved in initiating such processes. To address this shortcoming, we conducted a single case study of a multistakeholder initiative that engages in creating a boundary space. We adopt a microprocessual view and take a closer look at the focal individuals' boundary work, interactions, sayings and doings, and the emotions triggered by the process. The findings offer insights into the tensions underlying the creation of boundary spaces and individuals’ performance of competitive, collaborative and configurational boundary work to resolve emerging tensions. Through our methodological choice of narrative analysis and ethnodrama, we show how the different embedded voices and meaningful silences in the creation process instantiate temporary and repetitive turns of boundary work, suspension and delay. We interpret these turns as both the result of the tensions and an explanation for why the tensions are not resolved.
迄今为止,文献几乎没有涉及围绕边界空间创建的复杂性-在重叠领域或部门领域的交叉点上运行的新型组织模型-以及启动此类过程所涉及的微相互作用动力学。为了解决这个缺点,我们进行了一个涉及创建边界空间的多利益相关者倡议的单一案例研究。我们采用微过程的观点,仔细观察焦点个体的边界工作、互动、言论和行为,以及由该过程引发的情绪。研究结果揭示了边界空间创造背后的紧张关系,以及个人在竞争、协作和配置边界工作中的表现,以解决新出现的紧张关系。通过叙事分析和民族戏剧的方法论选择,我们展示了创作过程中不同的嵌入式声音和有意义的沉默如何实例化了边界工作,暂停和延迟的临时和重复的转变。我们认为这些转变既是紧张局势的结果,也是对紧张局势没有得到解决的解释。
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引用次数: 0
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Technovation
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