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Artificial intelligence in humanitarian aid: A review and future research agenda 人道主义援助中的人工智能:回顾与未来研究议程
IF 10.9 1区 管理学 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2025-11-03 DOI: 10.1016/j.technovation.2025.103415
Sophie Lythreatis , Fulya Acikgoz , Noura Yassine
As crises, both natural and man-made, continue to escalate in frequency and complexity, the need for effective and timely humanitarian interventions has become increasingly critical. Artificial intelligence (AI) has emerged as a transformative tool in enhancing humanitarian aid, addressing all stages of the crisis management cycle. Despite growing interest in AI's application within the humanitarian field, the existing literature remains fragmented, with limited synthesis of its overall impact. This study adopts a systematic literature review approach to provide a comprehensive analysis of AI's utilization in humanitarian aid across the crisis cycle, as well as its role in broader humanitarian settings outside of immediate crisis contexts. Based on 60 selected studies, the findings reveal that AI applications in both the pre- and post-crisis phases can be grouped into four specific categories, and that AI's role in broader humanitarian contexts can similarly be divided into four focus areas. Specifically, the categories in the pre-crisis phase include site selection, medical services enhancement, early warning, and information flow, and the categories in the post-crisis phase include distribution and delivery, damage assessment, online and textual insights, and routing optimization. The review highlights AI's significant potential to enhance the effectiveness and efficiency of humanitarian efforts, offering valuable insights for organizations seeking to harness AI's transformative power.
随着自然和人为危机的频率和复杂性不断升级,对有效和及时的人道主义干预的需求变得越来越迫切。人工智能(AI)已成为加强人道主义援助、应对危机管理周期各个阶段的变革性工具。尽管人们对人工智能在人道主义领域的应用越来越感兴趣,但现有文献仍然支离破碎,对其整体影响的综合有限。本研究采用系统的文献综述方法,全面分析了人工智能在危机周期内人道主义援助中的应用,以及它在直接危机背景之外更广泛的人道主义环境中的作用。基于60项选定的研究,研究结果表明,人工智能在危机前和危机后阶段的应用可以分为四个具体类别,人工智能在更广泛的人道主义背景下的作用也可以同样分为四个重点领域。具体而言,危机前阶段的类别包括选址、医疗服务增强、预警和信息流,危机后阶段的类别包括分发和交付、损害评估、在线和文本洞察以及路由优化。该评估强调了人工智能在提高人道主义工作的有效性和效率方面的巨大潜力,为寻求利用人工智能变革力量的组织提供了宝贵的见解。
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引用次数: 0
Takers and givers: Exploring the drivers of peer support in intra-incubator networks 索取者和给予者:探索孵化器内部网络中同伴支持的驱动因素
IF 10.9 1区 管理学 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2025-11-01 DOI: 10.1016/j.technovation.2025.103399
Joris Ebbers , Wouter Stam , Tom Elfring
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引用次数: 0
When do intrafirm networks accelerate follow-on invention? Evidence from biotechnology firms 企业内部网络何时加速后续发明?来自生物技术公司的证据
IF 10.9 1区 管理学 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2025-10-30 DOI: 10.1016/j.technovation.2025.103403
Ding Nan , Arjan Markus , Liukai Wang , Yu Xiong , Yali Zhang
This study examines how the structure of intrafirm inventor networks influences the speed at which biotechnology firms generate follow-on inventions. We conceptualize follow-on invention speed as how quickly a firm recombines and builds on its own prior knowledge. Drawing on social network theory, we focus on two structural dimensions: network clustering and average path length. We theorize that their effects depend on the firm's knowledge environment and tie characteristics—specifically, team knowledge diversity, tie strength, and invention radicalness. Using longitudinal data from 223 U.S. public biotechnology firms (2004–2013), we find that clustering slows invention speed, while longer average path length accelerates it—but only under specific conditions. Team knowledge diversity and radicalness mitigate the downsides of clustering but dampen the benefits of longer path lengths. Tie strength intensifies the negative effects of clustering while enhancing the value of path length. These findings underscore the need to align intrafirm network structure with the firm's internal knowledge context, offering new insights into the microfoundations underlying the speed of internal knowledge reuse and demonstrating that the value of intrafirm networks is contingent rather than universal. For managers, the results highlight that there is no one-size-fits-all optimal network structure: firms can accelerate follow-on invention only by aligning network features with the diversity, strength, and radicalness of their internal knowledge base and relational context.
本研究探讨了企业内部发明人网络的结构如何影响生物技术公司产生后续发明的速度。我们将后续发明速度定义为公司重组和建立其原有知识的速度。利用社会网络理论,我们关注两个结构维度:网络聚类和平均路径长度。我们的理论是,它们的影响取决于公司的知识环境和联系特征——具体来说,是团队知识多样性、联系强度和发明激进性。利用来自223家美国上市生物技术公司(2004-2013)的纵向数据,我们发现集群减缓了发明速度,而更长的平均路径长度则加速了发明速度——但这只是在特定条件下。团队知识的多样性和激进性减轻了聚类的缺点,但却削弱了更长的路径长度带来的好处。连接强度增强了聚类的负面效应,同时提高了路径长度的值。这些发现强调了将企业内部网络结构与企业内部知识背景结合起来的必要性,为内部知识重用速度背后的微观基础提供了新的见解,并证明了企业内部网络的价值是偶然的,而不是普遍的。对于管理者来说,研究结果强调了不存在放之四海而皆准的最优网络结构:企业只有将网络特征与其内部知识库和关系环境的多样性、强度和激进性相匹配,才能加速后续发明。
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引用次数: 0
Dilemma of direct ties: Secondhand ties to gatekeepers and innovation 直接关系的困境:与看门人和创新的二手关系
IF 10.9 1区 管理学 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2025-10-29 DOI: 10.1016/j.technovation.2025.103400
Yunsung Lee , Seh-Hyun Yoo
This study examines how individuals leverage social ties to gatekeepers to advance their knowledge into follow-on innovations within firms. In particular, we introduce the advantages of secondhand ties to gatekeepers, wherein individuals are indirectly connected to gatekeepers through an intermediary. We highlight that direct ties to gatekeepers offer legitimacy at the cost of political constraints, such as perceived favoritism or opportunism, whereas indirect ties mitigate such concerns but offer limited legitimacy due to greater social distance from gatekeepers. We argue that secondhand ties effectively balance these trade-offs. By borrowing legitimacy from the gatekeepers while reducing political constraints, knowledge from individuals with secondhand ties is more likely to be adopted and developed into follow-on innovations. Additionally, we propose that individuals rely more heavily on these social ties when their knowledge inherently lacks legitimacy and thus needs more social endorsements. Drawing on intrafirm networks for co-patenting activities, we explore the impact of social ties between gatekeepers—inventor TMT members—and individual inventors on follow-on innovations. Our study offers insights into why some knowledge gets stuck while other knowledge is successfully adopted and further developed within firms.
本研究考察了个人如何利用与看门人的社会关系,将他们的知识推进到公司内部的后续创新中。特别是,我们介绍了与看门人的二手关系的优势,其中个人通过中介间接地与看门人连接。我们强调,与看门人的直接联系以政治约束为代价提供合法性,例如感知到的偏袒或机会主义,而间接关系减轻了这些担忧,但由于与看门人的社会距离更大,因此提供有限的合法性。我们认为,二手关系有效地平衡了这些权衡。通过从看门人那里借用合法性,同时减少政治约束,拥有二手关系的个人的知识更有可能被采用,并发展成后续创新。此外,我们认为,当个人的知识本质上缺乏合法性,因此需要更多的社会认可时,他们会更依赖这些社会关系。利用共同专利活动的企业内部网络,我们探讨了看门人(发明者TMT成员)和个体发明者之间的社会关系对后续创新的影响。我们的研究揭示了为什么有些知识会停滞不前,而另一些知识会在企业内部被成功采用并进一步发展。
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引用次数: 0
Do well, say good: Transforming green innovation into financial return through tone management 做得好,说得好:通过语气管理将绿色创新转化为财务回报
IF 10.9 1区 管理学 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2025-10-28 DOI: 10.1016/j.technovation.2025.103397
Jingyu Bi , Shibin Sheng , En Xie , Xuehao Gao
Although firms see green innovation as a way to deal with regulatory pressures while also meeting the needs of customers, existing research has not provided a clear answer as to why it can also enhance financial performance. Building on impression management theory, this study examines the mediating effect of media tone and manager tone on the relationship between green innovation and firms' financial performance, as well as the moderated mediation effect of state ownership. Using a dataset consisting of 10,064 observations of 1460 high-tech firms from China over a 20-year period (2000–2019), this study reveals that green innovation has the potential to improve firm financial performance through positive media and manager tone. In addition, state ownership negatively moderates the indirect effect on firm performance of green innovation on firms’ financial performance through media tone and manager tone. The findings of this study extend extant research into green innovation and offer important managerial implications.
尽管企业将绿色创新视为应对监管压力的一种方式,同时也满足了客户的需求,但现有的研究并没有提供一个明确的答案,为什么它也能提高财务绩效。基于印象管理理论,本研究考察了媒体语气和管理者语气对绿色创新与企业财务绩效关系的中介作用,以及国有所有权的调节中介作用。本研究利用中国1460家高科技公司在2000-2019年20年间的10064个观察数据集,揭示了绿色创新有可能通过积极的媒体和管理者的语气来改善公司的财务绩效。此外,国有企业通过媒体语气和管理者语气负向调节绿色创新对企业财务绩效的间接影响。本研究的结果延伸了现有的绿色创新研究,并提供了重要的管理启示。
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引用次数: 0
Digital innovation and transformation process in business growth: A systematic literature review and research agenda 企业成长中的数字化创新与转型过程:系统文献综述与研究议程
IF 10.9 1区 管理学 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2025-10-25 DOI: 10.1016/j.technovation.2025.103396
Yunfei Xing , Justin Zuopeng Zhang , Xiwei Wang
The emergence of digital technologies has profoundly transformed the operations and processes of companies, thereby redefining the fundamental mechanisms of value creation, delivery, and capture within firms. This scenario has garnered significant attention from both academics and practitioners, resulting in a burgeoning body of research on the relationship between digital technology and business development. However, establishing a causal-chain framework linking digital innovation and transformation process (DITP) and business growth remains challenging. This study conducts a systematic literature review to gather and synthesize existing knowledge on this topic. Furthermore, a causal-chain framework is developed based on causal inferences to illustrate the inter-relationships among the adopted research constructs. Finally, a research agenda for future directions within this field is provided to address existing research gaps. This article makes substantial contributions to both theoretical framework construction and managerial strategies aimed at fostering business growth through DITP.
数字技术的出现深刻地改变了公司的运营和流程,从而重新定义了公司内部价值创造、交付和获取的基本机制。这种情况引起了学术界和实践者的极大关注,导致了数字技术与商业发展之间关系的研究蓬勃发展。然而,建立一个将数字创新和转型过程(DITP)与业务增长联系起来的因果链框架仍然具有挑战性。本研究通过系统的文献综述,收集和综合已有的相关知识。此外,本文还基于因果推论建立了因果链框架,以说明所采用的研究构念之间的相互关系。最后,为该领域的未来方向提供了一个研究议程,以解决现有的研究差距。本文在理论框架构建和管理策略构建两方面都做出了重要贡献。
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引用次数: 0
Artificial intelligence in technology networks: A catalyst for achieving the SDGs 技术网络中的人工智能:实现可持续发展目标的催化剂
IF 10.9 1区 管理学 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2025-10-25 DOI: 10.1016/j.technovation.2025.103398
Vincenzo Varriale, Antonello Cammarano, Francesca Michelino, Mauro Caputo
The rapid adoption of artificial intelligence (AI) and other digital technologies is profoundly transforming business processes and activities, enhancing various aspects of sustainability. These technological developments offer new opportunities to address complex sustainability challenges and contribute to the achievement of the United Nations Sustainable Development Goals (SDGs). This study aims to investigate the networked value of AI within an ecosystem of digital technologies for achieving the SDGs. While extensive literature is based on the individual contributions of AI and other digital technologies to enhance sustainable development, there is a gap in understanding the networked value of AI when integrated with other technologies for sustainability. Based on a comprehensive dataset of 2161 sustainable business practices drawn from scientific literature, social network analysis was applied to map the relationships between AI within a technology ecosystem for achieving the SDGs. The results reveal that AI plays a central role, particularly in supporting SDG 7 (Affordable and Clean Energy), SDG 9 (Industry, Innovation and Infrastructure), and SDG 12 (Responsible Consumption and Production). Moreover, AI is closely connected to key digital technologies such as the Internet of Things, computing, and digital applications. These findings reveal the importance of strategically leveraging AI in conjunction with other technologies to enhance sustainability performance. In contrast to much of the existing literature, which is largely concentrated on environmental aspects, this research demonstrates that AI holds untapped potential to address socially oriented SDGs. It also identifies current gaps in the integration of AI with immersive environments and proximity technologies.
人工智能(AI)和其他数字技术的迅速采用正在深刻地改变业务流程和活动,增强可持续性的各个方面。这些技术发展为解决复杂的可持续性挑战提供了新的机遇,并有助于实现联合国可持续发展目标(sdg)。本研究旨在调查人工智能在数字技术生态系统中实现可持续发展目标的网络价值。虽然广泛的文献是基于人工智能和其他数字技术对促进可持续发展的个人贡献,但在理解人工智能与其他可持续性技术相结合时的网络价值方面存在差距。基于从科学文献中提取的2161个可持续商业实践的综合数据集,应用社会网络分析来绘制实现可持续发展目标的技术生态系统中人工智能之间的关系。结果显示,人工智能发挥着核心作用,特别是在支持可持续发展目标7(可负担和清洁能源)、可持续发展目标9(工业、创新和基础设施)和可持续发展目标12(负责任的消费和生产)方面。此外,人工智能与物联网、计算和数字应用等关键数字技术密切相关。这些发现揭示了战略性地利用人工智能与其他技术相结合以提高可持续性绩效的重要性。现有的许多文献主要集中在环境方面,与之相反,这项研究表明,人工智能在解决面向社会的可持续发展目标方面具有未开发的潜力。它还指出了目前人工智能与沉浸式环境和接近技术集成方面的差距。
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引用次数: 0
Gender-related aspects of invention networks: A firm-level analysis 发明网络的性别相关方面:一个公司层面的分析
IF 10.9 1区 管理学 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2025-10-25 DOI: 10.1016/j.technovation.2025.103389
Leila Tahmooresnejad , Ekaterina Turkina
This paper integrates insights from the literature on invention networks, gender, and the sociological literature to analyze differences in how firms participate in man-led and woman-led invention networks. We contribute to the current debate on whether clustering or boundary-spanning network properties are more important for invention by introducing gender as an important factor. We empirically test our hypotheses on a sample of more than 30,000 firms from around the world over time using OECD REGPAT global patent data. Our findings indicate that different network properties are important for firm invention in woman-led and man-led innovation networks. In man-led invention networks, firms strongly benefit from being in a boundary-spanning position and are negatively affected by clustering, whereas in woman-led invention networks, boundary spanning has a less pronounced positive effect, and clustering has a positive rather than negative effect. Our findings have substantial implications for firms and policymakers interested in invention and contribute to the studies of gender and invention networks.
本文综合了有关发明网络、性别和社会学文献的见解,分析了企业参与男性领导和女性领导的发明网络的差异。我们通过引入性别作为一个重要因素,为当前关于集群或跨边界网络属性对发明是否更重要的争论做出了贡献。我们使用OECD REGPAT全球专利数据对来自世界各地的30,000多家公司的样本进行了实证检验。研究结果表明,在女性领导和男性领导的创新网络中,不同的网络属性对企业发明具有重要影响。在男性主导的发明网络中,企业从跨越边界的地位中获得了强烈的利益,并受到集群的负面影响;而在女性主导的发明网络中,跨越边界的积极影响不太明显,集群的积极影响大于消极影响。我们的研究结果对对发明感兴趣的公司和政策制定者具有重大意义,并有助于性别和发明网络的研究。
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引用次数: 0
Creating and sustaining space for play as leeway for innovation 创造和维持游戏空间,作为创新的回旋余地
IF 10.9 1区 管理学 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2025-10-24 DOI: 10.1016/j.technovation.2025.103385
Lisa Whitelaw, Lucia Garcia-Lorenzo
Large established organizations face the 'paradox of institutionalizing spontaneity'. While they recognize the need for innovation and create enabling structures to support it, these very structures can inadvertently constrain the spontaneous qualities essential for breakthrough innovation. This longitudinal ethnographic study explores how organizational members navigate this paradox by following six innovation projects over three years at a multinational technology company. Our processual analysis that combined participant observation, interviews, diaries, and project-related documents reveals that innovation projects progress through tactically re-created 'spaces for play'—temporary leeway that innovators create for themselves within existing organizational structures. We show how these spaces develop through recurring patterns of opening, maintaining, and reconstituting and how project teams employ situated tactics to creatively leverage specific organizational structures to open and sustain them. Projects advance by realigning with company strategy to re-open space for play, while those failing to connect either stop or pivot. Our findings suggest that innovation-enabling structures alone are insufficient. Innovators must continuously use tactical combinations to create and sustain temporary space for play as leeway for innovation, generating emerging impacts that influence organizational contexts and shape subsequent project developments. We also contribute both conceptual refinements and empirical grounding to the mainly theoretical body of knowledge on organizational entrepreneurship and space for play.
大型组织面临着“制度化自发性的悖论”。虽然他们认识到创新的必要性,并创造了支持创新的有利结构,但这些结构可能会无意中限制突破性创新所必需的自发品质。这项纵向民族志研究通过跟踪一家跨国科技公司三年内的六个创新项目,探讨了组织成员如何应对这种悖论。我们结合参与者观察、访谈、日记和项目相关文件的过程分析表明,创新项目的进展是通过策略性地重新创造“游戏空间”——创新者在现有组织结构中为自己创造的临时余地。我们展示了这些空间是如何通过开放、维护和重构的循环模式发展起来的,以及项目团队如何采用适当的策略来创造性地利用特定的组织结构来开放和维持它们。项目通过重新调整公司战略,重新开放游戏空间来推进,而那些未能连接的项目要么停止,要么转向。我们的研究结果表明,仅靠创新支持结构是不够的。创新者必须不断地使用战术组合来创造和维持临时的游戏空间,作为创新的回旋余地,产生影响组织环境和塑造后续项目发展的新影响。我们还为组织企业家精神和游戏空间的主要理论知识体系提供了概念改进和经验基础。
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引用次数: 0
Blockchain technology through a paradox lens: Bridging the gap between promise and reality? 从悖论的角度看区块链技术:弥合承诺与现实之间的差距?
IF 10.9 1区 管理学 Q1 ENGINEERING, INDUSTRIAL Pub Date : 2025-10-23 DOI: 10.1016/j.technovation.2025.103384
René Chester Goduscheit , Stelvia Matos , Kristoffer Holm , Glenn Parry , Yu Xiong
Blockchain technology has been praised as a means to improve collaboration within and beyond the value chain. Key features, such as transparency and the immutability of data in a blockchain, lead to higher quality and enhanced product lifetime, improved circularity, and, ultimately, more reliable supply and cheaper offerings. Nevertheless, the promises of blockchain technology are not mirrored in reality. Based on a multiple-embedded case study from the wind turbine industry, this paper sheds light on how various paradoxes on the individual, intra-, and inter-organizational levels hamper the successful implementation of blockchain technology. Unlike general B2B collaboration challenges, these paradoxes are rooted in blockchain's technological architecture—particularly its decentralization, immutability, and trustless nature—which introduce tensions that are both temporal and contextual. These paradoxes are both identifiable on the contextual level (the setting in which blockchain technology is implemented) and on the temporal level (the impact of both prior experiences and the perception of future commitments and collaboration). Theoretically, the paper provides a more nuanced perspective on the existing literature on blockchain technology, which has traditionally been marked by transaction-cost-based frames of understanding while emphasizing the role of individuals and organizations in blockchain adoption. The presented analysis also has managerial implications in terms of the essential need to understand blockchain as more than a mere (software) implementation exercise.
区块链技术被誉为改善价值链内外协作的一种手段。区块链中数据的透明性和不变性等关键特性可以提高产品质量,延长产品寿命,改善循环,并最终实现更可靠的供应和更便宜的产品。然而,区块链技术的承诺并没有反映在现实中。基于风力涡轮机行业的多个嵌入式案例研究,本文阐明了个人,组织内部和组织间层面的各种悖论如何阻碍区块链技术的成功实施。与一般的B2B协作挑战不同,这些矛盾根植于b区块链的技术架构——尤其是它的去中心化、不变性和不可信的特性——这带来了时间和上下文的紧张关系。这些悖论在上下文层面(区块链技术实施的环境)和时间层面(先前经验和对未来承诺和合作的感知的影响)上都是可识别的。从理论上讲,本文对现有的区块链技术文献提供了一个更细致的视角,传统上,区块链技术的特点是基于交易成本的理解框架,同时强调个人和组织在区块链采用中的作用。所提出的分析还具有管理意义,因为需要将区块链理解为不仅仅是一个(软件)实现练习。
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