Technovation最新文献_第5页

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

Balancing resilience and circularity in an artificial intelligence-augmented humanitarian aid supply chain: A practice-based view of Yin–Yang dialectical systems 在人工智能增强的人道主义援助供应链中平衡弹性和循环：基于实践的阴阳辩证系统观点

IF 10.9 1区管理学 Q1 ENGINEERING, INDUSTRIAL

Technovation

Pub Date : 2025-11-21 DOI: 10.1016/j.technovation.2025.103427

Tachia Chin , Zhibin Zhang , Asif Nazrul , Shouyang Wang

Escalating climate change and geopolitical conflicts are widening humanitarian crises, creating an urgent need for AI-enabled humanitarian aid supply chains (HASCs) that are both resilient and circular. However, in practice, resilience and circularity often compete for crucial resources. To address this issue, this paper conceptualizes an AI-assisted HASC as a stratified system spanning governments, humanitarian organizations, and affected populations. It adopts a practice-based, dialectical systems view grounded in Yin–Yang philosophy to explore the dynamic balance of resilience and circularity in AI-assisted HASCs in different emergencies. More specifically, we create a Yin–Yang dialectical strategic map that characterises eight resource positions with various contradictions between the resource slack and the constraints in an AI-assisted HASC. Based on this, we propose eight possible strategies to resolve the above-mentioned resource tensions. To achieve a better understanding, we also construct a simulation model to examine the applicability of our novel paradigm. The key contribution lies in using an unconventional, practice-oriented Yin-Yang dialectical systems view to holistically explain how to balance resource slack and constraints while co-building resilience and circularity in AI-assisted HASCs. Practically, it highlights leveraging evolving AI as digital innovation to tackle traditional HASC challenges involving resource availability, environmental pressures, and societal concerns.

不断升级的气候变化和地缘政治冲突正在扩大人道主义危机，迫切需要具有弹性和循环性的人工智能人道主义援助供应链。然而，在实践中，弹性和循环往往会争夺关键资源。为了解决这个问题，本文将人工智能辅助的HASC概念化为跨越政府、人道主义组织和受影响人群的分层系统。本文采用以实践为基础的辩证系统观点，以阴阳哲学为基础，探讨人工智能辅助的HASCs在不同紧急情况下的弹性和循环性的动态平衡。更具体地说，我们创建了一个阴阳辩证的战略地图，该地图表征了人工智能辅助HASC中资源松弛和约束之间存在各种矛盾的八个资源位置。在此基础上，我们提出了解决上述资源紧张的八种可能策略。为了获得更好的理解，我们还构建了一个模拟模型来检验我们的新范式的适用性。关键贡献在于使用非传统的、以实践为导向的阴阳辩证系统观点，全面解释如何平衡资源松弛和约束，同时在人工智能辅助的HASCs中共同建立弹性和循环。实际上，它强调利用不断发展的人工智能作为数字创新来解决涉及资源可用性、环境压力和社会问题的传统HASC挑战。

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引用次数: 0

Exploring how artificial intelligence capabilities impact corporate sustainability performance: Insights from Chinese manufacturing firms 探索人工智能能力如何影响企业可持续发展绩效：来自中国制造企业的见解

IF 10.9 1区管理学 Q1 ENGINEERING, INDUSTRIAL

Technovation

Pub Date : 2025-11-20 DOI: 10.1016/j.technovation.2025.103429

Chen Renfei , Li Zhongwen , Yang Guangfei , Li Wenli , Guo Zitong

In the context of digital transformation, the driving mechanism of Artificial Intelligence capabilities (AIC) on corporate sustainability performance (CSP) and its organizational boundary requirements have emerged as a key topic in advancing digital sustainability, both in theory and practice. This study is based on dynamic capabilities theory (DCT) and sustainable development theory, and reveals the micro-mechanisms and boundary conditions of AIC driving CSP. By extending the traditional application of AI and dynamic capabilities from competitive advantage to sustainability, this study provides a novel theoretical lens for digital sustainability. This study empirically analyzes data from Chinese manufacturing enterprises through the PLS-SEM method. The findings reveal that AIC significantly enhances CSP through a tiered enabling mechanism, but prescriptive capabilities fail to achieve their intended effects. The type of manufacturing firm constitutes a core boundary condition, and there is significant variability in the sustainable performance of AIC exerted under traditional manufacturing and Industry 4.0 manufacturing firms. The impact of AIC on CSP is significantly weaker in traditional manufacturing firms than in Industry 4.0 manufacturing firms. By adopting a dynamic capabilities perspective, this study examines the role of DCT-based AIC in enhancing CSP, expanding the prevailing technical viewpoint on their interrelationship and providing a compelling justification for integrating AI into digital sustainability frameworks. These findings offer manufacturers actionable insights for harnessing AI technologies to achieve sustainable performance during digital transformation.

在数字化转型背景下，人工智能能力（AIC）对企业可持续发展绩效（CSP）的驱动机制及其组织边界要求已成为推进数字化可持续发展的重要理论和实践课题。本文基于动态能力理论（DCT）和可持续发展理论，揭示了AIC驱动CSP的微观机制和边界条件。通过将人工智能和动态能力的传统应用从竞争优势扩展到可持续性，本研究为数字可持续性提供了一个新的理论视角。本研究通过PLS-SEM方法对中国制造企业的数据进行实证分析。研究结果表明，AIC通过分层使能机制显著增强了CSP，但规定性能力未能达到预期效果。制造业企业类型构成核心边界条件，传统制造业和工业4.0制造业下AIC可持续绩效存在显著差异。传统制造业企业AIC对CSP的影响明显弱于工业4.0制造业企业。通过采用动态能力视角，本研究考察了基于dct的AIC在增强CSP中的作用，扩展了关于它们之间相互关系的主流技术观点，并为将人工智能纳入数字可持续发展框架提供了令人信服的理由。这些发现为制造商在数字化转型过程中利用人工智能技术实现可持续绩效提供了可行的见解。

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引用次数: 0

Trust in Moral Machines: How automation, morality, and media framing drive cross-cultural adoption of autonomous vehicles 对道德机器的信任：自动化、道德和媒体框架如何推动自动驾驶汽车的跨文化采用

IF 10.9 1区管理学 Q1 ENGINEERING, INDUSTRIAL

Technovation

Pub Date : 2025-11-19 DOI: 10.1016/j.technovation.2025.103428

Thomas Teychenié , Julien Cloarec , Lars Meyer-Waarden

We conducted a large-scale, tri-national experiment drawing on the Moral Machine clusters—Western individualist (U.S.), Latin-American transitional (Mexico), and East Asian collectivist (China)—to examine how autonomy level (SAE Level 2 vs. Level 5), moral programming (self-protective vs. utilitarian), and accident-severity framing (low vs. high) jointly shape performance trust in autonomous vehicles. In balanced samples of 300 respondents per country, participants were randomly assigned to one of eight conditions and then reported on performance trust, performance risk, hedonic well-being, and behavioral intentions. A robust three-way interaction predicted performance trust in all three contexts, but with opposite patterns: utilitarian framing enhanced the trust advantage of full autonomy under high-severity scenarios in the U.S. and Mexico, whereas in China it did so only when accidents were mild and undermined trust when accidents were severe. These results demonstrate that cultural worldviews condition how ethical programming and risk context interact to shape trust, offering actionable guidance for culturally sensitive AV design and policy.

我们利用道德机器集群——西方个人主义者（美国）、拉丁美洲过渡主义者（墨西哥）和东亚集体主义者（中国）——进行了一项大规模的三国实验，研究自主水平（SAE 2级vs 5级）、道德规划（自我保护vs功利主义）和事故严重程度框架（低vs高）如何共同塑造对自动驾驶汽车的性能信任。在每个国家300名受访者的平衡样本中，参与者被随机分配到八种情况中的一种，然后报告绩效信任、绩效风险、享乐幸福感和行为意图。一个强大的三方互动预测了所有三种情境下的绩效信任，但具有相反的模式：在美国和墨西哥，功利主义框架在高严重情景下增强了完全自主的信任优势，而在中国，它只在事故轻微时起作用，在事故严重时破坏信任。这些结果表明，文化世界观决定了道德规划和风险环境如何相互作用以形成信任，为具有文化敏感性的自动驾驶汽车设计和政策提供了可行的指导。

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引用次数: 0