Technovation最新文献_第3页

BRICS and walls: A grey incidence analysis of scientific collaboration barriers in BRICS countries 金砖国家与墙：金砖国家科学合作障碍的灰色关联分析

IF 10.9 1区管理学 Q1 ENGINEERING, INDUSTRIAL

Technovation

Pub Date : 2025-12-01 DOI: 10.1016/j.technovation.2025.103438

Damaris Chieregato Vicentin , Gustavo Hermínio Salati Marcondes de Moraes , Bruno Brandão Fischer , Dirk Meissner , Zhou Yuan , Zhongzhen Miao

International scientific collaboration among BRICS countries has intensified in recent years, particularly in the field of science, technology, and innovation (STI). Yet, the underlying cultural and institutional dynamics shaping these partnerships remain underexplored, features that are key to understanding collaborative practices among such a heterogeneous group of countries. We address this gap by investigating how organizational cultural traits relate to key barriers to collaboration in cross-national academic environments. We draw our empirical insights from a novel, primary dataset consisting of 403 survey responses from researchers engaged in BRICS-based co-authorships. The questionnaire, structured on a five-point Likert scale, comprised items on organizational cultural elements (e.g., mutual trust, performance measurement schemes, information sharing, and leadership dynamics) and barriers to collaboration (e.g., administrative mismatches, divergent priorities for publication or patenting, funding limitations, cultural and language differences, and partner reliability). Grey Incidence Analysis (GIA) is employed to evaluate the strength of associations between cultural traits and collaboration barriers. Findings highlight those institutional misalignments, particularly those concerning performance measurement systems and divergent publication priorities are more critical in constraining cooperation than interpersonal or intercultural differences. While trust and communication practices matter, structural incompatibilities related to administrative frameworks and governance policies emerged as the most impactful elements shaping collaborative dynamics. By revealing how governance alignment and institutional harmonization can strengthen innovation performance through enhanced efficiency of joint R&D alliances, accelerated co-patenting and technology licensing, and more effective knowledge-transfer processes, these findings provide actionable insights for both researchers and policymakers. In practical terms, they support the development of STI policy actions that promote more inclusive, resilient, and culturally attuned scientific cooperation within and beyond the BRICS bloc.

Article classification

Theoretical-empirical article.

近年来，金砖国家间的国际科学合作不断加强，特别是在科学、技术和创新领域。然而，形成这些伙伴关系的潜在文化和制度动力仍未得到充分探索，而这些特征是理解如此异质国家群体之间合作实践的关键。我们通过调查组织文化特征与跨国学术环境中合作的主要障碍之间的关系来解决这一差距。我们从一个新颖的、主要的数据集中得出了我们的经验见解，该数据集由参与金砖国家合作的研究人员的403份调查回复组成。问卷采用李克特五分制，包括组织文化因素（如相互信任、绩效衡量方案、信息共享和领导动态）和合作障碍（如行政管理不匹配、出版或专利的优先顺序不同、资金限制、文化和语言差异以及合作伙伴可靠性）。采用灰色关联分析（GIA）来评估文化特质与合作障碍之间的关联强度。研究结果突出表明，在限制合作方面，体制失调，特别是有关业绩衡量系统和出版优先次序的失调，比人际或文化差异更为重要。虽然信任和沟通实践很重要，但与管理框架和治理策略相关的结构不兼容性成为形成协作动态的最具影响力的因素。通过揭示治理协调和制度协调如何通过提高联合研发联盟的效率、加速共同专利和技术许可以及更有效的知识转移过程来增强创新绩效，这些发现为研究人员和政策制定者提供了可操作的见解。具体而言，他们支持制定科技创新政策行动，促进金砖国家集团内外更具包容性、韧性和文化适应性的科学合作。文章分类：理论-实证文章。

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引用次数: 0

Starting alike, ending different: How cultural dynamics shape design thinking implementation 开始相似，结束不同：文化动态如何塑造设计思维的实施

IF 10.9 1区管理学 Q1 ENGINEERING, INDUSTRIAL

Technovation

Pub Date : 2025-11-28 DOI: 10.1016/j.technovation.2025.103434

Wenlin Zhang, Jin Ma

Design thinking (DT) is widely recognized as effective in fostering technology-based innovation. However, its implementation in organizations often encounters cultural dissonance, as DT culture fundamentally conflicts with organizations' prevailing cultural norms. This study examines how organizational members navigate this dissonance to implement DT effectively to foster innovation. We conducted a comparative case study of two small and medium-sized enterprises (SMEs) that started DT implementation under similar conditions but achieved contrasting outcomes. Using qualitative analysis of real-time and retrospective data from ethnographic fieldwork, we adopt a cultural toolkit lens to develop a culturally informed model of DT implementation effectiveness. Our findings reveal that DT implementation allows for cultural accumulation within an organization—a common initial condition where tensions between Design Culture and Industrial Culture become intensified, leading to cultural dissonance. Effective DT implementation involves cultural alternation, where the organization flexibly shifts between distinct cultural norms as situations evolve and achieves cultural symbiosis. In contrast, ineffective DT implementation results in cultural fixation, where rigid adherence to distinct cultures further creates cultural antagonism. This study advances innovation management and technological innovation scholarship by revealing day-to-day practices that leverage DT for innovation, offering a culturally informed model for effective DT implementation, and reframing DT's role in organizational change.

设计思维（DT）在促进基于技术的创新方面被广泛认为是有效的。然而，它在组织中的实施往往会遇到文化失调，因为DT文化从根本上与组织的主流文化规范相冲突。本研究探讨组织成员如何驾驭这种不协调，有效地实施DT以促进创新。我们对两家中小型企业（SMEs）进行了比较案例研究，这两家企业在相似的条件下开始实施DT，但取得了截然不同的结果。通过对来自民族志田野调查的实时和回顾性数据进行定性分析，我们采用文化工具包的视角来开发一个文化知情的DT实施有效性模型。我们的研究结果表明，DT的实施允许组织内部的文化积累，这是设计文化和工业文化之间紧张关系加剧的常见初始条件，导致文化失调。有效的DT实施涉及文化转换，即组织随着情况的发展灵活地在不同的文化规范之间转换，实现文化共生。相反，不有效的DT实施会导致文化固定，对不同文化的严格坚持会进一步造成文化对抗。本研究揭示了利用DT促进创新的日常实践，为有效实施DT提供了一个文化信息模型，并重新定义了DT在组织变革中的作用，从而推动了创新管理和技术创新研究。

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引用次数: 0

Employee wellbeing: A computational review on the consequences of workplace automation 员工福利：对工作场所自动化后果的计算回顾

IF 10.9 1区管理学 Q1 ENGINEERING, INDUSTRIAL

Technovation

Pub Date : 2025-11-28 DOI: 10.1016/j.technovation.2025.103424

Alena Valtonen , Jaan-Pauli Kimpimäki , Nina Savela

The integration of automation into workplaces presents complex implications for employee wellbeing. Drawing on the Job Demands–Resources (JD-R) model, this study reviews how automation-enabling technologies generate new job demands and resources across four dimensions of employee wellbeing: performance, physical wellbeing, mental wellbeing, and workplace relationships. Combining a computational literature review with qualitative content analysis, we identify and synthesize a multidisciplinary body of related literature. Our analysis reveals that automation disproportionately introduces new or intensified demands—particularly in performance, mental and relational dimensions—while resources tend to cluster around performance and physical wellbeing. Further, we show how these effects often spill across wellbeing dimensions, with technologies designed to improve efficiency often resulting in unintended cognitive, emotional, or social strain. Our synthesis extends the JD-R framework to better capture the distribution, alignment, and cross-domain effects of automation-induced changes in job characteristics, offering a structured agenda for future research and highlighting practical implications for human-centric technology design, organizational management, and employee support.

自动化与工作场所的融合对员工的幸福感产生了复杂的影响。利用工作需求-资源（JD-R）模型，本研究回顾了自动化技术如何在员工福利的四个维度上产生新的工作需求和资源：绩效、身体健康、心理健康和工作场所关系。结合计算文献回顾与定性内容分析，我们确定并综合相关文献的多学科体。我们的分析表明，自动化不成比例地引入了新的或强化的需求——特别是在绩效、心理和关系维度上——而资源往往集中在绩效和身体健康上。此外，我们还展示了这些影响是如何渗透到健康维度的，旨在提高效率的技术往往会导致意想不到的认知、情感或社会压力。我们的综合扩展了JD-R框架，以更好地捕捉自动化引起的工作特征变化的分布、对齐和跨领域影响，为未来的研究提供了一个结构化的议程，并强调了以人为中心的技术设计、组织管理和员工支持的实际含义。

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引用次数: 0

The impact of artificial intelligence on urban energy consumption 人工智能对城市能源消耗的影响

IF 10.9 1区管理学 Q1 ENGINEERING, INDUSTRIAL

Technovation

Pub Date : 2025-11-26 DOI: 10.1016/j.technovation.2025.103433

Zhiyuan Zhang , Jialin Zhao , Jean-Michel Sahut , Yang Song , Khaled Guesmi

Managing urban energy use is a critical challenge for cities striving to achieve green and sustainable development, and also a vital focal point for propelling the synergistic growth between urban economic and environmental systems. Leveraging panel data from 281 prefecture-level cities in China spanning 2008 to 2021, this study adopts a two-way fixed effects (TWFE) model to assess the influence of artificial intelligence (AI) on urban energy consumption (UEC) optimisation. The results reveal that AI exerts a significant influence on the optimisation of UEC, and this impact stays robust following a series of robustness tests. Heterogeneity analysis, which accounts for geographical location and specific urban attributes, reveals substantial differences in the potential and actual effects of AI in optimising energy consumption across different cities. For cities in China's northeast and central regions, non-resource-based cities and low-carbon pilot cities, AI implementation has produced impressive results in the optimisation of energy consumption. However, for cities in eastern and western China, as well as resource-based cities and non-low-carbon pilot cities, AI's role in energy consumption optimisation has not been fully validated. The mediating effect test confirms that AI optimises UEC by enhancing green total factor energy efficiency. The findings have policy implications for the rational application and widespread deployment of AI in cities. The results serve as a basis for evidence-backed choices when developing precise energy policies, supporting the ongoing refinement of UEC and advancing the objective of sustainable urban development.

管理城市能源使用是城市努力实现绿色和可持续发展的关键挑战，也是推动城市经济和环境系统协同增长的重要焦点。利用2008年至2021年中国281个地级市的面板数据，本研究采用双向固定效应（TWFE）模型来评估人工智能（AI）对城市能源消耗（UEC）优化的影响。结果表明，人工智能对UEC的优化具有显著影响，并且在一系列稳健性测试后，这种影响保持稳健性。考虑到地理位置和特定城市属性的异质性分析显示，人工智能在优化不同城市能源消耗方面的潜在和实际效果存在巨大差异。在东北和中部地区城市、非资源型城市和低碳试点城市，人工智能在优化能源消耗方面取得了显著成效。然而，对于中国东部和西部城市，以及资源型城市和非低碳试点城市，人工智能在能源消耗优化中的作用尚未得到充分验证。中介效应检验证实，人工智能通过提高绿色全要素能效来优化UEC。研究结果对人工智能在城市中的合理应用和广泛部署具有政策意义。研究结果为制定精确的能源政策、支持持续完善UEC和推进可持续城市发展目标提供了有证据支持的选择基础。

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引用次数: 0

Corporate accelerators as an arena for legitimacy-seeking: How do startups validate corporate legitimacy? 企业加速器作为寻求合法性的舞台：初创公司如何验证企业合法性？

IF 10.9 1区管理学 Q1 ENGINEERING, INDUSTRIAL

Technovation

Pub Date : 2025-11-25 DOI: 10.1016/j.technovation.2025.103432

Ronit Yitshaki

Corporate accelerators (CAs) can be conceptualized as arenas that enable both corporations and startups to gain legitimacy, albeit for different purposes. While the current literature has primarily emphasized the benefits that startups derive from participation in CAs, it has largely overlooked the legitimacy-related advantages afforded to corporations. The findings of this study demonstrate that the corporation's legitimacy-seeking was enhanced by generating moral legitimacy through the explicit rationale for establishing a non-profit accelerator and the adoption of a voluntary matchmaking strategy. This moral legitimacy-seeking orientation was further reinforced by pragmatic legitimacy, rooted in implicit reciprocal ‘give-and-take’ dynamics with startups and in learning about emerging market trends and technologies. The startups contributed to the corporation's market legitimacy at the product level, cognitive legitimacy at the firm level, and sociopolitical legitimacy within the broader entrepreneurial ecosystem. These forms of legitimacy were associated with reputational capital, as evidenced in media portrayals and the perceived value generated for the startups involved. Collectively, these insights contribute to and extend the literature on organizational legitimacy, corporate accelerators, and strategic renewal.

企业加速器（ca）可以被概念化为使企业和初创企业都能获得合法性的场所，尽管目的不同。虽然目前的文献主要强调创业公司从参与ca中获得的好处，但它在很大程度上忽视了企业获得的与合法性相关的优势。研究结果表明，通过建立非营利性加速器和采用自愿配对策略的明确理由，企业产生道德合法性，从而增强了企业的合法性寻求。这种寻求道德合法性的取向被务实的合法性进一步强化，这种合法性根植于与初创企业之间隐性的互惠“互让”动态，以及对新兴市场趋势和技术的了解。创业公司在产品层面为公司的市场合法性做出了贡献，在公司层面为公司的认知合法性做出了贡献，在更广泛的创业生态系统中为社会政治合法性做出了贡献。这些形式的合法性与声誉资本有关，这在媒体描述和相关初创公司产生的感知价值中得到了证明。总的来说，这些见解有助于并扩展了关于组织合法性、企业加速器和战略更新的文献。

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引用次数: 0

Stewardship as a driver of digital business alignment in family firms: Are there performance consequences? 管理作为家族企业数字化业务整合的驱动因素：对绩效有影响吗？

IF 10.9 1区管理学 Q1 ENGINEERING, INDUSTRIAL

Technovation

Pub Date : 2025-11-24 DOI: 10.1016/j.technovation.2025.103435

Carl Åberg , Giovanna Campopiano

Stewardship can be a competitive resource that enhances collectivistic orientations and alignment within family firms. However, it is important to understand whether stewardship is beneficial in creating a shared vision between digital technology and business strategies. Although the existing literature offers limited insights into these relationships, advancing such knowledge is essential, as family firms encounter considerable challenges in implementing digital transformation, which in turn significantly affects their performance. Therefore, this study sheds light on how stewardship can work as a driver of digital business alignment, an information processing capacity aimed at the alignment of digital technology and business strategy, to enhance family firm performance, while also exploring the contingency role of family ownership. Theoretical hypotheses are tested using global survey data encompassing a sample of 2266 family firms from 70 countries. The main findings suggest a positive partial mediation, implying that stewardship family-oriented goals positively impact digital business alignment, leading to positive performance outcomes. Furthermore, family ownership weakens the positive relationship between stewardship family-oriented goals and digital business alignment. These findings have important implications for stewardship, information processing, and family firm research, providing valuable insights into the role of aligning digital and strategic interests, and managing family ownership in environments increasingly impacted by digital technologies.

管理可以是一种竞争资源，可以增强家族企业内部的集体主义取向和一致性。然而，重要的是要了解管理是否有利于在数字技术和业务战略之间创建共享愿景。尽管现有文献对这些关系的见解有限，但推进这些知识是必不可少的，因为家族企业在实施数字化转型时遇到了相当大的挑战，这反过来又显著影响了他们的绩效。因此，本研究揭示了管理如何作为数字企业一致性的驱动因素，一种旨在使数字技术和企业战略一致性的信息处理能力，以提高家族企业绩效，同时也探讨了家族所有权的偶然性作用。理论假设使用全球调查数据，包括来自70个国家的2266个家族企业的样本进行检验。主要研究结果表明存在积极的部分中介作用，这意味着以家庭为导向的管理目标对数字业务一致性产生积极影响，从而导致积极的绩效结果。此外，家族所有权削弱了管理家族导向目标与数字业务一致性之间的正相关关系。这些发现对管理、信息处理和家族企业研究具有重要意义，为在日益受数字技术影响的环境中协调数字和战略利益以及管理家族所有权的作用提供了有价值的见解。

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引用次数: 0

Industrial classification policy and its orientation on digital innovation: Evidence from a quasi-natural experiment and attention mechanisms 产业分类政策及其对数字创新的导向：来自准自然实验的证据与注意机制

IF 10.9 1区管理学 Q1 ENGINEERING, INDUSTRIAL

Technovation

Pub Date : 2025-11-22 DOI: 10.1016/j.technovation.2025.103422

Shaobo Hou , Wenzheng Niu , Baihe Chen , Ke Rong

In an era where digital technology serves as a strategic emerging direction, this study aims to explore how industrial classification policy facilitates corporate digital innovation. Regarding China's Strategic Emerging Industries Classification (CSEIC) policy as a quasi-natural experiment, we use the difference-in-difference (DID) method and find that CSEIC has a significant and positive effect on digital innovation. We further find that CSEIC promotes exploratory digital innovation in state-owned enterprises (SOEs) and exploitative digital innovation in private-owned enterprises (POEs). The mechanism analysis suggests that in SOEs, the political arrangement and executives' political priority strengthen the positive relationship between CSEIC and exploratory digital innovation, while in POEs, the digital arrangement and executive priority can trigger the positive relationship between CSEIC and exploratory digital innovation. Based on the attention-based view (ABV), this paper provides a comprehensive understanding of how structural arrangement and selective focus match to leverage the influence of policy to innovation breakthrough in a specific attention situation.

在数字技术作为战略新兴方向的时代，本研究旨在探讨产业分类政策如何促进企业的数字创新。将中国战略性新兴产业分类（CSEIC）政策作为准自然实验，运用差分法（DID）发现，CSEIC对数字创新具有显著的正向影响。我们进一步发现，CSEIC促进了国有企业的探索性数字创新和民营企业的开发性数字创新。机制分析表明，在国有企业中，政治安排和高管优先级强化了企业内资投资与探索性数字创新的正向关系，而在民营企业中，数字安排和高管优先级可以触发企业内资投资与探索性数字创新的正向关系。本文基于注意基础观点（ABV），全面理解了在特定的关注情境下，结构安排与选择性焦点如何匹配，从而发挥政策对创新突破的影响。

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引用次数: 0

Crowdfunding and the sustainability dilemma: Do sustainable-oriented campaigns perform better? A machine learning approach 众筹与可持续性困境：以可持续为导向的活动表现更好吗？机器学习方法

IF 10.9 1区管理学 Q1 ENGINEERING, INDUSTRIAL

Technovation

Pub Date : 2025-11-22 DOI: 10.1016/j.technovation.2025.103420

Simona Barone , Noemi Oggero , Marina Damilano , Enrico Battisti

Sustainability has emerged as an important attribute in crowdfunding campaigns, yet the channels through which sustainability signals affect fundraising outcomes differ across crowdfunding models. Drawing on signaling theory, we argue that in reward-based crowdfunding (RBC), where backers are motivated by ethical values and prosocial preferences, sustainability disclosures act as an inherently credible signal that directly increases participation and funding. In equity crowdfunding (EC), where investors apply a more instrumental, risk–return logic, the same signal is effective only when communicated concisely, because excessively long messages impose cognitive costs and reduce perceived reliability. To test these mechanisms, we analyze 592 Italian campaigns (337 RBC from Kickstarter and 255 EC from CrowdFundMe, spanning 2015–2024) and we employ a machine learning-based text classification approach to objectively identify sustainability disclosures, overcoming the biases of traditional keyword methods. Our results confirm the proposed channels: in RBC, sustainability has a direct positive effect on the likelihood of success, the amount of capital raised and the number of backers; in EC, the positive effect emerges only when descriptions are concise, highlighting the moderating role of message length. This study contributes to the crowdfunding literature by combining a novel machine-learning text-analysis approach with an explicit test of the moderating effect of message length, explaining potential mechanisms underlying sustainability signals. Furthermore, we offer actionable guidance for entrepreneurs, platforms and policy makers on how to structure sustainability communication to maximize impact across different crowdfunding models.

可持续性已经成为众筹活动的一个重要属性，然而可持续性信号影响筹款结果的渠道因众筹模式而异。根据信号理论，我们认为在基于奖励的众筹（RBC）中，支持者受到道德价值观和亲社会偏好的激励，可持续性披露作为一个内在可信的信号，直接增加了参与和融资。在股权众筹（EC）中，投资者采用更实用的风险回报逻辑，同样的信号只有在简洁的沟通中才有效，因为过于冗长的信息会增加认知成本，降低感知可靠性。为了测试这些机制，我们分析了592个意大利活动（337个来自Kickstarter的RBC和255个来自CrowdFundMe的EC，跨越2015-2024年），我们采用基于机器学习的文本分类方法客观地识别可持续性披露，克服了传统关键字方法的偏见。我们的研究结果证实了建议的渠道：在RBC，可持续性对成功的可能性、筹集的资金量和支持者的数量有直接的积极影响；在电子商务中，只有在描述简洁的情况下才会出现正效应，这突出了信息长度的调节作用。本研究通过将一种新颖的机器学习文本分析方法与信息长度调节效应的明确测试相结合，为众筹文献做出了贡献，解释了可持续性信号的潜在机制。此外，我们还为企业家、平台和政策制定者提供可操作的指导，指导他们如何构建可持续性沟通，以最大限度地发挥不同众筹模式的影响。

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引用次数: 0

The double-sided influence of IP litigation reputation on R&D collaboration 知识产权诉讼声誉对研发合作的双重影响

IF 10.9 1区管理学 Q1 ENGINEERING, INDUSTRIAL

Technovation

Pub Date : 2025-11-22 DOI: 10.1016/j.technovation.2025.103421

Sarah Edris , Victor Gilsing , René Belderbos

We draw on signaling theory to argue that a tough reputation based on IP litigation can be either detrimental or instrumental to the formation of new collaborative ties. Under conditions of information asymmetry, potential partner firms rely on observable signals to assess partner firms' attractiveness. While IP litigation reputation signals aggressiveness and may deter new partners from collaboration, it also signals the presence of a focal firm's high-quality resources that it seeks to protect. In the absence of information on a focal firm's prior R&D collaboration, the latter dominates. The substitutive relationship between IP litigation and prior R&D collaboration in their influence on the formation of new collaborative ties depends on the nature of information asymmetry. It is stronger if new collaborations are with rival firms competing in the same market than if they are with non-rival partners. We find support for these hypotheses using a fixed-effects multi-equation model of new partner collaborations with rivals and non-rivals in the pharmaceutical industry, 1995–2015.

我们利用信号理论来论证，基于知识产权诉讼的强硬声誉可能不利于或有助于形成新的合作关系。在信息不对称条件下，潜在合作企业依赖可观察到的信号来评估合作企业的吸引力。虽然知识产权诉讼的声誉标志着咄咄逼人，可能会阻止新合作伙伴的合作，但它也标志着焦点公司寻求保护的高质量资源的存在。在缺乏焦点公司先前的研发合作信息的情况下，后者占主导地位。知识产权诉讼与先前研发合作对新合作关系形成的影响的替代关系取决于信息不对称的性质。如果新的合作是与在同一市场竞争的竞争对手公司进行的，那么这种合作比与非竞争伙伴进行的合作更强大。我们利用1995-2015年医药行业新合作伙伴与竞争对手和非竞争对手合作的固定效应多方程模型来支持这些假设。

引用次数: 0

Proactive resilience in the face of black swan events: The power of organisational learning and digital orientation in digital entrepreneurship 面对黑天鹅事件的主动恢复力：数字创业中的组织学习和数字导向的力量

IF 10.9 1区管理学 Q1 ENGINEERING, INDUSTRIAL

Technovation

Pub Date : 2025-11-21 DOI: 10.1016/j.technovation.2025.103431

Salvatore Ammirato , Alberto Michele Felicetti , Barbara Bigliardi , Sascha Kraus

In an era of turbulence, digital entrepreneurship (DE) has emerged as a key driver of economic growth and proactive resilience (PR) - the capability to anticipate, prepare for, and capitalise on disruption. However, digital enterprises, deeply embedded in digital ecosystems, face heightened risks due to the global interconnectedness of economies, which demands continuous adaptation and innovation. Traditional resilience models that emphasise stability fall short of addressing the dynamic capabilities needed to navigate today's volatile environment. This study investigates how learning culture (LC), entrepreneurial orientation (EO), and digital orientation (DO) interact to foster decentralised decision-making (DDM)—a dynamic capability that enables agility and, in turn, strengthens proactive resilience. Based on a survey of 129 digital entrepreneurs, we examine if and how LC, EO, and DO influence DDM, while also analysing the potential influence of DDM on PR. We find direct positive effects of LC and DO on DDM, whereas EO shows no direct effect. Furthermore, DDM has a positive impact on proactive resilience, mediating the effects of LC and DO. These results suggest that digital enterprises build proactive resilience not merely by reacting to shocks, but by embedding learning and digital capabilities into decentralised structures that empower fast, informed, and context-specific decisions. The study advances dynamic capabilities theory by clarifying how digital entrepreneurship leverages learning and digital orientation to transform uncertainty into opportunity, providing both theoretical and practical insights into how organisations can thrive—not just survive—amid disruption.

在动荡的时代，数字创业（DE）已成为经济增长和积极应变（PR）的关键驱动力，即预测、准备和利用颠覆的能力。然而，深度嵌入数字生态系统的数字企业，由于经济的全球互联互通，面临着更高的风险，这需要不断适应和创新。强调稳定性的传统弹性模型无法解决驾驭当今动荡环境所需的动态能力。本研究探讨了学习文化（LC）、创业导向（EO）和数字导向（DO）如何相互作用，以促进分散决策（DDM）——一种能够实现敏捷性的动态能力，进而加强主动应变能力。基于对129位数字企业家的调查，我们研究了LC、EO和DO是否以及如何影响DDM，同时也分析了DDM对PR的潜在影响。我们发现LC和DO对DDM有直接的积极影响，而EO没有直接影响。此外，DDM对主动弹性有正向影响，中介了LC和DO的作用。这些结果表明，数字化企业不仅通过应对冲击，而且通过将学习和数字化能力嵌入到分散的结构中，从而实现快速、知情和具体情况的决策，从而建立主动的弹性。该研究通过阐明数字创业如何利用学习和数字导向将不确定性转化为机会，推进了动态能力理论，为组织如何在颠覆中茁壮成长（而不仅仅是生存）提供了理论和实践见解。

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引用次数: 0