Journal of Innovation & Knowledge最新文献

Key predictors of entrepreneurship and innovation via the 3C framework: A data-driven machine learning analysis 通过3C框架预测创业和创新的关键因素：数据驱动的机器学习分析

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-06-01 Epub Date: 2026-02-09 DOI: 10.1016/j.jik.2026.100963

Yangjie Huang , Yajing Bu , Lina Wei , Xuebo Zhu , Lingling Xu

Entrepreneurship represents a pivotal pathway for transforming knowledge into innovation and economic value; however, the factors underlying this process remain a “black box”. Drawing on the Cognition, Capability, and Commitment (3C) framework, this study employs a data-driven machine learning approach—specifically, a decision tree algorithm—to systematically identify the potential predictors of Total Early-stage Entrepreneurial Activity (TEA). Using primary data from more than 70,000 individuals in the 2020 Global Entrepreneurship Monitor (GEM), supplemented with 2021 data for robustness checks, the results suggest that various forms of entrepreneurial cognition, such as necessity-driven motivations, family tradition, and perceptions of opportunity scarcity, emerge as prominent potential predictors. In contrast, capability-related variables exhibit comparatively lower predictive weights. These findings may advance theoretical understanding of entrepreneurial patterns and offer potential actionable implications for policymakers seeking to foster entrepreneurship. Moreover, they highlight the utility of machine learning in uncovering complex, non-linear interactions between motivational and contextual factors, thereby providing complementary exploratory insights beyond conventional GEM-based analyses.

创业是将知识转化为创新和经济价值的关键途径；然而，这一过程背后的因素仍然是一个“黑箱”。借鉴认知、能力和承诺（3C）框架，本研究采用数据驱动的机器学习方法，特别是决策树算法，系统地识别总早期创业活动（TEA）的潜在预测因素。利用2020年全球创业监测（GEM）中来自7万多人的原始数据，并辅以2021年的数据进行稳健性检查，结果表明，各种形式的创业认知，如必需品驱动的动机、家庭传统和对机会稀缺的看法，成为重要的潜在预测因素。相反，与能力相关的变量表现出相对较低的预测权重。这些发现可能会促进对创业模式的理论理解，并为寻求促进创业的政策制定者提供潜在的可行建议。此外，他们强调了机器学习在揭示动机和环境因素之间复杂的非线性相互作用方面的效用，从而提供了超越传统的基于gem的分析的补充性探索性见解。

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引用次数: 0

The implications of innovation in traditional industries: Revitalizing mature economic sectors 传统产业创新的意义：振兴成熟的经济部门

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-06-01 Epub Date: 2026-01-28 DOI: 10.1016/j.jik.2026.100959

Alexandru-Mihai Bugheanu , Oana Pricopoaia , Camelia Madalina Beldiman , Ion Popa , Nicoleta Cristache , Dorin Iancu , Ioana Lazarescu

This research explores the implications of innovation in traditional industries in response to the need to deploy digital technologies to revitalize mature economic sectors. Despite being essential to regional and national economies, traditional industries face challenges due to globalization and new technologies. Embracing modern technologies can enable such industries to respond to these challenges, thereby revitalizing mature economic sectors and creating opportunities for economic growth. This study emphasizes the value of working with local communities to preserve craft techniques and the role of innovations in vocational training covering business management and digital marketing. The study also emphasizes the importance of partnerships between traditional manufacturers and companies in modern industries and the creation of innovative products that combine advanced technologies with traditional manufacturing methods. Furthermore, it emphasizes the relevance of implementing green innovations and their impact on the sustainability of traditional industries. SmartPLS 4 software was used to perform partial least squares structural equation modeling (PLS-SEM). The analysis provides detailed indications of how technological innovations can transform traditional industries. The results can be applied to support the adoption of innovative strategies to foster the development and modernization of traditional industries. The study has implications on many levels, from developing regional economies and improving the sustainability of traditional industries to creating opportunities for training and cross-sector collaboration.

本研究探讨了传统产业创新的意义，以响应部署数字技术以振兴成熟经济部门的需求。尽管传统产业对地区和国家经济至关重要，但由于全球化和新技术的发展，传统产业面临着挑战。采用现代技术可以使这些工业能够应对这些挑战，从而使成熟的经济部门恢复活力，并为经济增长创造机会。这项研究强调了与当地社区合作以保留工艺技术的价值，以及创新在职业培训中的作用，包括商业管理和数字营销。该研究还强调了传统制造商与现代工业公司之间的伙伴关系以及将先进技术与传统制造方法相结合的创新产品的重要性。此外，它还强调了实施绿色创新的相关性及其对传统工业可持续性的影响。使用SmartPLS 4软件进行偏最小二乘结构方程建模（PLS-SEM）。分析提供了技术创新如何改变传统产业的详细迹象。研究结果可用于支持采用创新战略，促进传统产业的发展和现代化。这项研究对许多层面都有影响，从发展区域经济和改善传统工业的可持续性，到创造培训和跨部门合作的机会。

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引用次数: 0

Building the efficiency bridge: Artificial intelligence innovation, high-growth firms and industry competition through governance 搭建效率桥梁：人工智能创新、高增长企业和通过治理实现的行业竞争

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-06-01 Epub Date: 2026-01-28 DOI: 10.1016/j.jik.2026.100961

Xikai Yu , Kanghao Chen , Zongqiang Ren

High-growth firms serve as vital drivers of economic vitality; however, sustaining their rapid growth remains a formidable challenge. Although researchers widely regard artificial intelligence (AI) innovation as a key competitive advantage, the specific mechanisms through which it fosters high-growth firms remain underexplored. We analyse 20,178 firm–year observations from China (2007–2022) using technology affordance actualisation theory to investigate this relationship. Results show that AI innovation drives high growth primarily by enhancing firm efficiency. Particularly, we identify a critical contingency: the intensity of industry competition negatively moderates the effect of AI innovation on firm efficiency. A novel finding reveals that board size conditions whether this moderating effect persists. Specifically, industry competition undermines efficiency gains only in firms with small boards, thereby hindering high growth. By contrast, large boards nullify this negative effect, enabling AI innovation to drive firms towards high-growth status even under competitive pressure. Our study theoretically advances the literature by elucidating the contingent role of industry competition and establishing board size as a crucial governance mechanism that determines the success of AI innovation in promoting high growth.

高增长企业是经济活力的重要动力；然而，保持它们的快速增长仍然是一项艰巨的挑战。尽管研究人员普遍认为人工智能（AI）创新是一项关键的竞争优势，但它培育高增长企业的具体机制仍未得到充分探索。我们分析了来自中国（2007-2022）的20,178个公司年度观察结果，使用技术服务实现理论来研究这种关系。结果表明，人工智能创新主要通过提高企业效率来推动高增长。特别是，我们发现了一个关键的偶然性：行业竞争的强度负向调节人工智能创新对企业效率的影响。一项新的发现表明，董事会大小决定了这种调节效应是否持续存在。具体来说，行业竞争只会在董事会规模较小的公司中破坏效率的提高，从而阻碍高增长。相比之下，大型董事会抵消了这种负面影响，使人工智能创新即使在竞争压力下也能推动公司走向高增长。我们的研究从理论上推进了相关文献，阐明了行业竞争的偶然作用，并将董事会规模确立为决定人工智能创新能否成功促进高增长的关键治理机制。

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引用次数: 0

Transition to electric vehicles and the location of key battery-related activities 向电动汽车过渡与电池相关的关键活动地点

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-06-01 Epub Date: 2026-01-20 DOI: 10.1016/j.jik.2026.100951

Jesús F. Lampón, Miguel A. Crespo-Velando, María del Mar Rodríguez-Domínguez, Hugo Pérez-Moure

The transition to electric vehicles brought profound changes to the automotive industry, particularly regarding a key component: the battery. This study analyses the location factors and trends shaping the geography of battery-related activities, ranging from the extraction of essential minerals to battery recycling. Based on expert interviews and an examination of 26 new battery-related locations in Spain during 2022 and 2023, the findings reveal two main dynamics. First, recent locations supported the creation of a Spanish value chain to meet internal demand, with decisions influenced by proximity to market (automobile manufacturers’ production plants) and resource availability. Second, a substantial share of high value-added activities were not located in Spain, indicating a geographical disconnect between the production of certain value-added components and their place of supply, and highlighting the concentration of innovation activities in only a few countries.

向电动汽车的过渡给汽车行业带来了深刻的变化，特别是在关键部件：电池方面。本研究分析了影响电池相关活动的地理因素和趋势，从必需矿物质的提取到电池的回收。根据专家访谈和对西班牙2022年至2023年期间26个新电池相关地点的调查，调查结果揭示了两个主要动态。首先，最近的地点支持创建西班牙价值链，以满足内部需求，决策受到市场邻近程度（汽车制造商的生产工厂）和资源可用性的影响。第二，高增值活动的很大一部分不在西班牙，这表明某些增值部件的生产与其供应地在地理上脱节，并突出了创新活动只集中在少数几个国家。

引用次数: 0

Digital orientation and the hybrid tipping point: Balancing in-person and remote work 数字导向和混合引爆点：平衡面对面和远程工作

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-06-01 Epub Date: 2026-01-21 DOI: 10.1016/j.jik.2026.100949

Francesca Sanguineti, Costanza Baldrighi, Stefano Denicolai, Pietro Previtali

At what point does adding more office time start eroding, rather than enhancing, organizational performance? Although remote, hybrid, and on-site work have each been studied in isolation, managers still lack evidence-based guidance on the proper mix of these arrangements for organizational results. Existing research rarely connects work-configuration choices to firm-level performance, nor does it consider how digital capabilities might affect the balance. Guided by socio-technical systems (STS) theory, we analyze 27,451 small and medium-sized enterprises (SMEs) across 30 countries to explore whether different intensities of in-person work and their interplay with digital orientation translate into meaningful shifts in revenue growth. By focusing on organizational outcomes rather than individual productivity, our study seeks to uncover strategic inflection points that can inform organizational leaders seeking to navigate the complexities of the post-pandemic business landscape.

在什么情况下，增加更多的办公时间会开始侵蚀而不是提高组织绩效？尽管已经分别对远程、混合和现场工作进行了研究，但管理人员仍然缺乏关于如何适当混合这些安排以获得组织成果的循证指导。现有的研究很少将工作配置选择与公司层面的绩效联系起来，也没有考虑数字能力如何影响平衡。在社会技术系统（STS）理论的指导下，我们分析了30个国家的27,451家中小企业（sme），以探索不同的面对面工作强度及其与数字导向的相互作用是否转化为收入增长的有意义的变化。通过关注组织成果而非个人生产力，我们的研究旨在揭示战略拐点，为寻求应对疫情后商业环境复杂性的组织领导者提供信息。

引用次数: 0

Digital leadership, digital platform capability and digital business model innovation of start-ups 初创企业的数字化领导力、数字化平台能力和数字化商业模式创新

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-06-01 Epub Date: 2026-02-04 DOI: 10.1016/j.jik.2026.100970

Xiaozhou Ding

In the digital economy era, digital business model innovation is an important way for start-ups to participate in market competition and improve organizational performance. However, as the core driving force for promoting disruptive innovation in organizations, the mechanisms by which digital leadership can stimulate digital business model innovation remain limited. To address this gap, based on the upper echelons theory, dynamic capability theory, and business model innovation theory, a theoretical model is proposed to examine the impact of digital leadership on digital business model innovation. The study focuses on the mediating role of digital platform capability and the moderating roles of digital self-efficacy. Hierarchical regression analysis is applied to data from 376 Chinese start-ups. The results show that digital positively influences digital business model innovation. The relationship is fully mediated by digital platform capability. Digital self-efficacy moderates the relationship between digital leadership and digital platform capability and between digital leadership and digital business model innovation. This study contributes to the literature on digital leadership and business model innovation. It also provides practical insights for start-ups to achieve digital business model innovation and sustainability development in the digital context.

在数字经济时代，数字化商业模式创新是初创企业参与市场竞争、提高组织绩效的重要途径。然而，作为推动组织颠覆性创新的核心驱动力，数字领导激发数字商业模式创新的机制仍然有限。为了解决这一差距，本文基于上层梯队理论、动态能力理论和商业模式创新理论，提出了一个理论模型来考察数字领导对数字商业模式创新的影响。本研究主要探讨数字平台能力的中介作用和数字自我效能感的调节作用。对376家中国初创企业的数据进行了层次回归分析。结果表明，数字化正向影响数字化商业模式创新。这种关系完全由数字平台能力中介。数字自我效能感调节了数字领导与数字平台能力、数字领导与数字商业模式创新之间的关系。本研究对数字领导与商业模式创新的相关文献有所贡献。为初创企业在数字化背景下实现数字化商业模式创新和可持续发展提供了实践见解。

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引用次数: 0

When does artificial intelligence innovation pay in servitization? A combined organizational learning and socio-technical systems perspective 人工智能创新什么时候会带来服务化？结合组织学习和社会技术系统的观点

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-06-01 Epub Date: 2026-01-30 DOI: 10.1016/j.jik.2026.100960

Kaining Yan , Xue Pang , Qingxue Li , Ge Tian , Xinyu Dong

Artificial intelligence (AI) innovation is often celebrated as a powerful catalyst for servitization, yet its revenue implications remain paradoxical and underexplored. Building on organizational learning theory and socio-technical systems theory, this study theorizes and tests the nonlinear influence of AI innovation on firms’ service revenue, using panel data from 796 Chinese manufacturing firms between 2015 and 2022. It reveals an inverted U-shaped relationship, suggesting that while AI innovation initially enhances revenue through exploratory learning and customer value creation, excessive reliance may induce organizational rigidity and misaligned priorities that erode service outcomes. Moreover, coordination capability stabilizes AI innovation by moderating both its benefits and risks, while human capital amplifies these dual effects. These findings transcend the prevailing view of AI as a uniformly positive enabler, offering a more nuanced understanding of how organizational and technical subsystems interact to shape the trajectory of service-led growth.

人工智能（AI）创新通常被誉为服务化的强大催化剂，但其对收入的影响仍然是矛盾的，而且尚未得到充分探索。基于组织学习理论和社会技术系统理论，本研究利用2015年至2022年796家中国制造业企业的面板数据，对人工智能创新对企业服务收入的非线性影响进行了理论化和检验。它揭示了一种倒u型关系，表明虽然人工智能创新最初通过探索性学习和客户价值创造来提高收入，但过度依赖可能会导致组织僵化和优先事项不一致，从而侵蚀服务成果。此外，协调能力通过调节其收益和风险来稳定人工智能创新，而人力资本则放大了这双重效应。这些发现超越了人工智能作为统一积极推动者的普遍观点，提供了对组织和技术子系统如何相互作用以塑造服务主导增长轨迹的更细致的理解。

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引用次数: 0

Exploring the configurations and evolutionary dynamics of industrial symbiosis networks: A complex adaptive systems-based perspective 探索工业共生网络的结构和进化动力学：基于复杂适应系统的视角

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-06-01 Epub Date: 2026-02-13 DOI: 10.1016/j.jik.2026.100974

Stefano Abbate , Piera Centobelli , Maria Di Gregorio , Giuditta Pagnotto Mogrovejo

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.

工业共生（IS）是一种协作战略，创新生态系统通过实现企业之间的资源、能源和副产品交换，促进向循环和可持续模式的转变。现有文献对这些生态系统可以采用的不同网络配置及其对长期恢复力和可持续性的影响的分析有限。在复杂自适应系统（CAS）理论的基础上，本文提出了一种分类法来支持IS网络的发展，旨在识别和描述几种潜在的日益复杂的网络结构，从内部重用和双边交换到分布式和混合配置。本研究考察了网络配置如何影响系统应对外部冲击、进化和产生集体利益的能力。最后，本文为理解信息系统中的自组织机制提供了一个有价值的理论框架，并为设计更稳健和适应性更强的网络和循环经济政策提供了有价值的见解。

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引用次数: 0

Mismatch in perceptions and knowledge? Prominent entrepreneurial resources through collaborative workspaces for social entrepreneurs 认知和知识不匹配？通过协作工作空间为社会企业家提供卓越的创业资源

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-06-01 Epub Date: 2026-01-27 DOI: 10.1016/j.jik.2026.100956

Chen Gao

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.

社会企业越来越多地利用农村地区的当地协作工作空间（cws）来获取创业资源。CWSs是社会企业蓬勃发展和扩大其对农村发展影响的重要支持者。然而，尽管CWS在社会企业的创业生态系统中发挥着关键作用，但在CWS运营商和社会企业家对基本资源的认知上存在显著差异。这些差异可能导致cws旨在促进社会企业家精神的项目和活动效率低下，因为企业家可能有不同的需求。因此，需要在cws和更广泛的生态系统中发现并战略性地解决这种分歧。本实证研究对德国和奥地利的4名CWS管理者和9名社会企业家进行了深度访谈，运用社会技术配置分析方法总结了感知到的关键资源，并解释了不同创业阶段的错配。该分析揭示了社会企业家的需求以及cws在各个发展阶段应该改进的地方。研究结果证明，有必要制定针对性的战略，以提高cws的有效性，并加强与相关行为体的合作。这种以行动者为中心的方法，结合生态系统和网络思维，也阐明了农村社会创业生态系统的必要和偶然创业资源以及独特性。关于社会企业家精神的创业生态系统的知识将为cws实现社会创新的推广策略提供信息。

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引用次数: 0

Lost in transmission: Knowledge, academia and the origins of design thinking 迷失在传播中：知识、学术和设计思维的起源

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-06-01 Epub Date: 2026-02-12 DOI: 10.1016/j.jik.2026.100969

Mark Parry , Griffin W. Cottle

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.

对学术研究相关性下降的担忧忽视了学者在发展过程和关键概念方面所发挥的重要作用，而设计思维是当今最著名的创业和创新教学方法之一。本研究追溯了导致以实践者为导向的设计思维讨论中关键概念产生的基础学术文献，并考察了阻碍这些概念在学术学科和实践者环境中传播的障碍。为此，我们将重点放在三种不同类型的概念上：心态概念（即跨越多个阶段的概念，如假设浮现、协作、移情和可视化）、构思概念（如想法量、延迟判断和发散思维）和创造过程。我们探讨了设计思维的历史演变的含义，以确保学术对实践的贡献不会在学术界被忽视或不被认可，并通过提供一系列关于如何改变激励机制以为科学与实践之间的更紧密合作腾出空间的建议来结束。

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引用次数: 0