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Innovation failure experience, digital inclusive finance and enterprise innovation resilience: Evidence from China 创新失败经验、数字普惠金融与企业创新弹性:来自中国的证据
IF 3.7 3区 管理学 Q2 BUSINESS Pub Date : 2025-04-01 DOI: 10.1016/j.jengtecman.2025.101879
Yang Zhang , wentao Zhou , Lina Ma
Innovation failure, as an inherent phenomenon in organizational innovation processes, exerts significant influence on enterprise innovation resilience. Current scholarly discourse inadequately addresses the critical dichotomy of whether innovation failure experience manifests as a "curse" or "blessing" for enterprise innovation resilience. This study empirically investigates this phenomenon by examining Chinese listed manufacturing enterprises, while concurrently analyzing the moderating role of digital inclusive finance. Key findings reveal: (1) Innovation failure experience positively correlates with enhanced innovation resilience; (2) This effect proves particularly pronounced in state-owned and large enterprises, while demonstrating no statistically significant impact on non-state-owned and small-to-medium enterprises; (3) Digital inclusive finance exhibits paradoxical moderation, negatively influencing the innovation failure experience and innovation resilience relationship. These insights provide valuable theoretical foundations for organizational failure management and inform policy-making regarding financial platform governance to enhance innovation resilience.
创新失败作为组织创新过程中的一种内在现象,对企业创新弹性有显著影响。目前的学术论述没有充分解决创新失败经验对企业创新弹性是“诅咒”还是“祝福”的关键二分法。本研究以中国制造业上市企业为样本,对这一现象进行实证研究,同时分析数字普惠金融的调节作用。研究发现:(1)创新失败经历与创新弹性增强正相关;(2)这一效应在国有企业和大型企业中尤为明显,而对非国有企业和中小企业的影响没有统计学意义;(3)数字普惠金融呈现悖论调节,负向影响创新失败经验与创新弹性的关系。这些见解为组织失效管理提供了有价值的理论基础,并为金融平台治理的决策提供了信息,以增强创新弹性。
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引用次数: 0
An exploratory study on the acceptance of new sustainable medical devices for biomedical and industrial applications 对生物医学和工业应用的新型可持续医疗设备的接受度的探索性研究
IF 3.7 3区 管理学 Q2 BUSINESS Pub Date : 2025-04-01 DOI: 10.1016/j.jengtecman.2025.101875
Ludovica Evangelista , Daniele Leone , Alessandro Scaletti , Fabian Bernhard
This exploratory study delves into the acceptance and perception of a new sustainable medical device in the clinical-dental field for biomedical and industrial applications. Through a multi-faceted approach encompassing documentary analysis, semi-structured interviews, and a Technology Acceptance Model (TAM) based questionnaire, the study highlights the potential benefits and hesitancies surrounding the adoption of sustainable materials. The results suggest a considerable interest among professionals, particularly in cost-effectiveness and improved clinical practices. However, concerns exist regarding the ease of use and the need for further evidence of clinical effectiveness. The study offers valuable insights into the complexities of implementing sustainable medical devices and highlights the importance of practical considerations and targeted training.
本探索性研究探讨了在临床牙科领域用于生物医学和工业应用的一种新的可持续医疗设备的接受和感知。通过多方面的方法,包括文献分析、半结构化访谈和基于技术接受模型(TAM)的问卷调查,该研究强调了采用可持续材料的潜在好处和犹豫。结果表明,在专业人士中,特别是在成本效益和改进的临床实践中,有相当大的兴趣。然而,存在关于易用性和需要进一步临床有效性证据的担忧。该研究为实施可持续医疗设备的复杂性提供了有价值的见解,并强调了实际考虑和有针对性培训的重要性。
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引用次数: 0
Generative AI on innovation performance of construction enterprises: A knowledge-based dynamic capabilities perspective 生成式人工智能对建筑企业创新绩效的影响:基于知识的动态能力视角
IF 3.7 3区 管理学 Q2 BUSINESS Pub Date : 2025-03-24 DOI: 10.1016/j.jengtecman.2025.101871
Qiao Shi , Liu Zhiwei , Wu Jie , Guo Zeng , Wu Han
The aim of this study was to investigate the associations among generative AI, knowledge-based dynamic capabilities and innovation performance of the construction enterprises. A model reflecting the relationship between these factors was proposed based on structural equation model. The relationships between these factors were revealed via the analysis of survey data from 268 participants in the construction enterprises. The results showed that generative AI positively influenced knowledge-based dynamic capabilities and innovation performance of the construction enterprises; knowledge integration and knowledge absorption had mediating effects on the influence of generative AI and knowledge search on innovation performance of the construction enterprises.
本研究旨在探讨建筑企业的生成性人工智慧、知识动态能力与创新绩效之间的关系。在结构方程模型的基础上,提出了反映这些因素之间关系的模型。通过对268名建筑企业参与者的调查数据分析,揭示了这些因素之间的关系。结果表明:生成式人工智能正向影响建筑企业的知识动态能力和创新绩效;知识整合和知识吸收在生成式人工智能和知识搜索对建筑企业创新绩效的影响中起中介作用。
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引用次数: 0
China’s new knowledge brokers. A patent citations network analysis of the artificial intelligence open innovation ecosystem 中国的新知识掮客。人工智能开放式创新生态系统的专利引文网络分析
IF 3.7 3区 管理学 Q2 BUSINESS Pub Date : 2025-03-18 DOI: 10.1016/j.jengtecman.2025.101870
Jacopo Cricchio , Saverio Barabuffi , Antonio Crupi , Alberto Di Minin
This study examines the Chinese Artificial Intelligence Open Innovation Platforms (AIOIPs) through a descriptive patent-based network analysis to uncover patterns of open innovation (OI). By analyzing brokerage roles and patent quality measures, we propose a typology of brokers—Forerunners, Explorers, Settlers, and Seekers—each reflecting distinct innovation and knowledge dissemination strategies. Our findings highlight how firms strategically balance collaboration and specialization through brokerage roles, linking these dynamics to patent quality and network positioning. These insights offer actionable guidance for enhancing the adaptability and efficiency of AI innovations within OI ecosystems, with implications for both managers and policymakers.
本研究通过基于专利的描述性网络分析,对中国人工智能开放式创新平台(aioip)进行了研究,以揭示开放式创新(OI)的模式。通过分析代理人的角色和专利质量指标,我们提出了代理人的类型——先行者、探索者、定居者和追求者——每个代理人都反映了不同的创新和知识传播策略。我们的研究结果强调了公司如何通过经纪角色在战略上平衡合作和专业化,并将这些动态与专利质量和网络定位联系起来。这些见解为提高OI生态系统中人工智能创新的适应性和效率提供了可操作的指导,对管理者和政策制定者都有启示。
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引用次数: 0
Multi-network embeddedness and innovation quality: A panel data analysis based on fsQCA 多网络嵌入性与创新质量:基于fsQCA的面板数据分析
IF 3.7 3区 管理学 Q2 BUSINESS Pub Date : 2025-01-01 DOI: 10.1016/j.jengtecman.2025.101860
Taiye Luo , Juanjuan Qu , Shuo Cheng
Organizations’ embeddedness in networks pertaining to collaboration and knowledge exerts a significant impact on their innovation. This study utilizes patent data from the field of 5 G (the fifth generation of cellular network technology) to examine the effects of organizations’ network embeddedness characteristics—specifically, collaboration breadth and depth, knowledge breadth and depth, and combination breadth and depth—on innovation quality. Furthermore, we utilize panel data fsQCA to explore paths (i.e., configurations of the six specified conditions) that can lead to high innovation quality. The analysis yields four sustainable configurations, which can be categorized as either a collaboration-knowledge dual-driven strategy (with collaboration breadth, collaboration depth, and combination depth as core conditions) or a deep knowledge-driven strategy (with knowledge depth and combination depth as core conditions). These findings provide a comprehensive understanding of the mechanisms influencing innovation quality within the framework of multi-network embeddedness.
组织在协作和知识网络中的嵌入性对其创新具有重要影响。本研究利用5 G(第五代蜂窝网络技术)领域的专利数据来检验组织的网络嵌入性特征(具体而言,协作广度和深度、知识广度和深度以及组合广度和深度)对创新质量的影响。此外,我们利用面板数据fsQCA来探索可以导致高创新质量的路径(即六个指定条件的配置)。分析产生了四种可持续的配置,可以将其分类为协作-知识双驱动战略(以协作广度、协作深度和组合深度为核心条件)或深度知识驱动战略(以知识深度和组合深度为核心条件)。这些研究结果对多网络嵌入性框架下影响创新质量的机制提供了全面的理解。
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引用次数: 0
Developing artificial intelligence (AI) capabilities for data-driven business model innovation: Roles of organizational adaptability and leadership 为数据驱动的商业模式创新开发人工智能(AI)能力:组织适应性和领导力的作用
IF 3.7 3区 管理学 Q2 BUSINESS Pub Date : 2025-01-01 DOI: 10.1016/j.jengtecman.2024.101851
Swapan Ghosh
More and more industrial businesses leverage AI to optimize operations and introduce new and innovative business models for competitive advantage. Businesses are collecting huge amounts of data from their business processes and plan to utilize them for better customer experience and insights. However, industrial managers are still determining the AI capabilities they need to analyze the data and develop customer-centric business models. Based on the discussions with twenty-five elite informants from five large industrial businesses, in this study, we propose a set of AI capabilities that can help managers develop data-driven business models. We offer a conceptual framework of AI capabilities and their influence on data-driven business model innovation that can guide managers in their transformation journeys.
越来越多的工业企业利用人工智能优化运营,引入新的创新商业模式,获得竞争优势。企业正在从其业务流程中收集大量数据,并计划利用这些数据来获得更好的客户体验和洞察力。然而,行业管理者仍在确定他们需要的人工智能能力,以分析数据并开发以客户为中心的商业模式。基于与来自五家大型工业企业的25名精英线人的讨论,在本研究中,我们提出了一套人工智能功能,可以帮助管理者开发数据驱动的商业模式。我们提供了一个人工智能能力的概念框架,以及它们对数据驱动的商业模式创新的影响,可以指导管理人员进行转型。
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引用次数: 0
Examining the role of team boundary buffering as a proactive and reactive stress intervention for boundary spanning new product teams 研究团队边界缓冲作为对跨越边界的新产品团队进行主动和被动压力干预的作用
IF 3.7 3区 管理学 Q2 BUSINESS Pub Date : 2025-01-01 DOI: 10.1016/j.jengtecman.2025.101861
Ana I. Rodriguez-Escudero , Pilar Carbonell , Hector Perez-Fernandez , Victor Temprano Garcia
In today’s rapidly evolving business landscape, the capacity of new product development (NPD) teams to innovate hinges significantly on their ability to leverage external networks, known as ‘team boundary spanning’. While this activity is traditionally viewed as beneficial, its potential to exacerbate job stress and consequently diminish team satisfaction and NPD performance demands closer examination. Our research extends this area of inquiry by exploring the impact of team boundary spanning on job stress within NPD teams. Drawing on the conservation of resources theory, we hypothesize that team boundary spanning increases job stress which, in turn, decreases job satisfaction and NPD performance. This study also investigates the role of team boundary buffering as both a proactive and reactive intervention to mitigate the stress experienced by teams. Data were collected from 140 NPD projects in high and medium-high technology firms. Results reveal that team boundary spanning indeed elevates job stress and that high levels of stress correlate with declines in product quality and job satisfaction. Additionally, our results indicate that while team boundary buffering is not an effective proactive stress intervention, it is beneficial as a reactive intervention to the stress precipitated by boundary spanning activities.
在当今快速发展的商业环境中,新产品开发(NPD)团队的创新能力在很大程度上取决于他们利用外部网络的能力,即“团队边界跨越”。虽然传统上认为这种活动是有益的,但它可能会加剧工作压力,从而降低团队满意度和NPD绩效,因此需要进行更仔细的检查。我们的研究通过探索团队边界跨越对NPD团队工作压力的影响来扩展这一领域。根据资源守恒理论,我们假设团队边界跨越增加了工作压力,从而降低了工作满意度和新产品开发绩效。本研究还探讨了团队边界缓冲作为一种主动干预和被动干预来缓解团队所经历的压力的作用。数据收集自高、中高科技企业的140个新产品开发项目。结果表明,团队边界的跨越确实会增加工作压力,而高水平的压力与产品质量和工作满意度的下降有关。此外,我们的研究结果表明,虽然团队边界缓冲不是一种有效的主动压力干预,但它是一种有益的被动干预,可以缓解由边界跨越活动引起的压力。
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引用次数: 0
Swimming against the stream in Argentina: ’Contrarian’ paths to latecomer catch-up under adversity 逆流而上的阿根廷:逆境下的后发追赶之路
IF 3.7 3区 管理学 Q2 BUSINESS Pub Date : 2025-01-01 DOI: 10.1016/j.jengtecman.2024.101859
Javier Papa , Mike Hobday
This article examines two unexpectedly successful latecomer firms which emerged from Argentina, a crisis ridden developing economy where the vast majority of firms have languished behind the technology frontier set by global leaders. By comparing the experience of these two unusual firms with that of general trends among successful, mainly Asian latecomers, we hope to throw light on the opportunities facing other firms struggling under adverse economic and policy conditions. Through appreciative theorising we aim to incorporate some ideas from evolutionary economic theory to hopefully extend ‘normal’ (mainly Asian based) latecomer catch-up conceptualisation. The empirical findings, based on a unique and original dataset, suggest that in order to catch-up with global competitors the two latecomer firms were forced to develop strong entrepreneurial capabilities to follow a ‘contrarian path’ in terms of corporate strategy, organizational structures and technological and management capabilities, when policy incentives and macroeconomic conditions pointed them in the opposite direction. The article introduces a new framework to analyse latecomers within the macroeconomic and policy context and raises questions for future latecomer theory, policy and research on latecomer firms’ strategies under adversity.
本文考察了阿根廷出现的两家意外成功的后发公司,阿根廷是一个危机重重的发展中经济体,其中绝大多数公司都落后于全球领导者设定的技术前沿。通过将这两家不同寻常的公司的经验与成功公司(主要是亚洲后发公司)的一般趋势进行比较,我们希望能够揭示在不利的经济和政策条件下挣扎的其他公司所面临的机遇。通过鉴赏性的理论化,我们的目标是将进化经济学理论中的一些想法纳入其中,希望能够扩展“正常”(主要是亚洲的)后发追赶概念。基于独特和原始数据集的实证研究结果表明,当政策激励和宏观经济条件指向相反的方向时,为了追赶全球竞争对手,这两家后发公司被迫发展强大的创业能力,在公司战略、组织结构、技术和管理能力方面遵循“逆向路径”。本文引入了宏观经济和政策背景下分析后发企业的新框架,并对后发企业逆境下的后发理论、政策和研究提出了问题。
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引用次数: 0
Business model innovation in the banking sector: How digital technologies transform innovation drivers in value mechanisms innovations 银行业商业模式创新:数字技术如何转变价值机制创新的创新驱动力
IF 3.7 3区 管理学 Q2 BUSINESS Pub Date : 2025-01-01 DOI: 10.1016/j.jengtecman.2024.101858
Ilaria Mancuso , Antonio Messeni Petruzzelli , Umberto Panniello , Giovanni Vaia
Business model innovation (BMI) involves innovating firms’ value creation, delivery, and capture. This paper categorizes the key drivers of BMI, i.e., crucial factors that trigger BMI and sustain the innovation of firms’ value mechanisms, emphasizing how to transform innovation drivers into value mechanisms’ innovations thanks to digital technologies. Through the longitudinal study of four banks’ BMI, we identified three innovation drivers (i.e., globalization, crisis, and customer expectations), triggering three distinct BMI phases (i.e., “stretching”, “streamlining”, and “synergizing”). Findings reveal that the transformation of innovation drivers into value mechanisms innovations requires a growing application of digital technologies across the three phases.
商业模式创新(BMI)涉及创新企业的价值创造、交付和获取。本文对企业质量指数的关键驱动因素进行了分类,即触发企业质量指数并维持企业价值机制创新的关键因素,强调如何借助数字技术将创新驱动因素转化为价值机制创新。通过对四家银行的BMI进行纵向研究,我们确定了三个创新驱动因素(即全球化、危机和客户期望),从而触发了三个不同的BMI阶段(即“延伸”、“精简”和“协同”)。研究结果表明,从创新驱动向价值机制创新的转变需要在三个阶段中越来越多地应用数字技术。
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引用次数: 0
Patent pool and dominant design: An empirical study of patent pool from MPEG-LA 专利池与主导设计:来自 MPEG-LA 的专利池实证研究
IF 3.7 3区 管理学 Q2 BUSINESS Pub Date : 2024-10-01 DOI: 10.1016/j.jengtecman.2024.101847
Yunsheng Zhang , Chen Peng , Oluwolenurudeen Omonijo
A patent pool is a marketing alliance that licenses technology to manufacturers. We build on previous research on patent pools that have mainly focused on transaction cost theory to explore the impact of patent pools on innovation. Our results show that the pool's influence on the dominant design depends on the technical characteristics of both the patent pool and the licensor. We found an inverted U-shaped relationship between the age of the patent pool and the dominant design. The difficulty of technology development and the number of licensors in the pool actively moderate the relationship between the age of the patent pool and the dominant design. Our research also found that when licensors are vertically integrated, the dominant patent pool design increases as the pool grows.
专利池是一种向制造商提供技术许可的营销联盟。以往关于专利池的研究主要集中于交易成本理论,我们在此基础上探讨了专利池对创新的影响。我们的研究结果表明,专利池对主导设计的影响取决于专利池和许可人的技术特征。我们发现,专利池的年龄与主导设计之间存在倒 U 型关系。技术开发的难度和专利池中许可人的数量对专利池年龄与主导设计之间的关系有积极的调节作用。我们的研究还发现,当许可人进行垂直整合时,专利池的主导设计会随着专利池的扩大而增加。
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引用次数: 0
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Journal of Engineering and Technology Management
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