Journal of Innovation & Knowledge最新文献_第3页

How digital transformation shapes employee creativity: Insights from the ability-motivation-opportunity framework and qualitative comparative analysis 数字化转型如何塑造员工创造力：来自能力-动机-机会框架和定性比较分析的见解

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.2026.100950

Ye Yang , Ling Yuan , Songlin Yang , Ziyi Liu

As digital technology and innovation-driven strategies become central to corporate strategy, fostering employee creativity has emerged as a critical objective of digital transformation. However, extant research predominantly relies on linear methods and net-effect analyses, failing to adopt a configurational perspective that can elucidate the synergistic mechanisms among the factors shaping creativity during digital transformation. Based on the ability-motivation-opportunity (AMO) framework, this study integrates individual and contextual factors and employs fuzzy-set qualitative comparative analysis (fsQCA) to analyze three-wave survey data from 305 employees, thereby identifying the configurational paths that lead to high radical and incremental creativity. This approach addresses a key limitation in current research by capturing the complex, nonlinear causal mechanisms often overlooked by conventional analytical frameworks. The findings reveal that seven factors—digital transformation, digital transformational leadership, harmonious passion, obsessive passion, external search, intuitive cognitive style, and analytical cognitive style—combine to form three distinct configurations for radical creativity and three for incremental creativity. Specifically, harmonious passion is a common core condition for radical creativity, whereas digital transformation and digital transformational leadership act as substitutive antecedents. This study contributes a novel configurational understanding of employee creativity during digital transformation, highlighting the complementary and substitutive roles of AMO elements, and offers practical guidance for firms to stimulate contextually appropriate creativity.

随着数字技术和创新驱动战略成为企业战略的核心，培养员工创造力已成为数字化转型的关键目标。然而，现有的研究主要依赖于线性方法和净效应分析，未能采用配置视角来阐明数字化转型中影响创造力的因素之间的协同机制。本研究基于能力-动机-机会（AMO）框架，整合个体因素和情境因素，运用模糊集定性比较分析（fsQCA）对305名员工的三波调查数据进行分析，从而找出导致高激进式和渐进式创造力的构形路径。这种方法解决了当前研究中的一个关键限制，即捕获了传统分析框架经常忽略的复杂非线性因果机制。研究发现，数字化转型、数字化转型领导、和谐激情、强迫性激情、外部搜索、直觉型认知风格和分析型认知风格这七个因素共同构成了激进型创造力和渐进式创造力的三种不同配置。具体而言，和谐激情是激进创造力的共同核心条件，而数字化转型和数字化转型领导力则是替代的前因。本研究对数字化转型中的员工创造力提供了一种全新的构型理解，强调了AMO要素的互补和替代作用，并为企业激发情境相适应的创造力提供了实践指导。

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引用次数: 0

How circular start-ups are shaping the future of entrepreneurial ecosystems 循环创业公司如何塑造创业生态系统的未来

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.2026.100955

Roberto Cerchione, Renato Passaro, Ivana Quinto, Viviana Sicardi

In a context marked by environmental challenges and the urgency for sustainable innovation, circular start-ups (CSUs) are recognised for their ability to drive organisational, cultural, and systemic change through adaptive and collaborative approaches. This research examines the crucial function of CSUs in promoting sustainable entrepreneurial ecosystems (SEEs) through an exploratory multiple case study analysis of Italian start-ups across several sectors. Empirical evidence was obtained mainly through primary data, while additional secondary sources were included to strengthen the contextual reliability of the study. The findings reveal that CSUs operate as dynamic agents capable of shaping open yet cohesive networks, leveraging digital technologies, and integrating sustainability principles across value chains. By employing self-organising structures, fostering cross-sectoral collaborations, and adhering to circular economy principles, these start-ups facilitate the dissemination of revolutionary business strategies and the evolution of entrepreneurial ecosystems into more resilient, inclusive, and regenerative systems.

在环境挑战和可持续创新紧迫性的背景下，循环初创企业（csu）因其通过适应性和协作方法推动组织、文化和系统变革的能力而得到认可。本研究通过对意大利多个行业的初创企业进行探索性多案例研究分析，考察了csu在促进可持续创业生态系统（SEEs）方面的关键功能。经验证据主要通过原始数据获得，而额外的二手来源被纳入以加强研究的上下文可靠性。研究结果表明，csu作为动态代理，能够塑造开放而有凝聚力的网络，利用数字技术，并在价值链中整合可持续性原则。通过采用自组织结构，促进跨部门合作，并坚持循环经济原则，这些初创企业促进了革命性商业战略的传播，并将创业生态系统演变为更具弹性、包容性和可再生的系统。

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引用次数: 0

AI capability, knowledge integration, and cognitive barriers: Innovation pathways for circular economy practices in construction 人工智能能力、知识整合与认知障碍：建筑业循环经济实践的创新路径

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-06-01 Epub Date: 2026-01-23 DOI: 10.1016/j.jik.2026.100948

Mohsin Ali Soomro , Ali Nawaz Khan , Shabir Hussain Khahro , Yasir Javed

The transformative potential of artificial intelligence (AI) is prompting construction organizations to redefine the concept of progress. However, the transition from digital capability to a higher-level sense of innovation is not inevitable. This research delves into the effect of AI capability on innovation-driven circular economy (CE) practices, providing evidence that technological advances alone do not drive change without an enabling cognitive and organizational environment. We adopt the lens of sociotechnical systems (STS) theory to conceptualize knowledge integration as the mechanism by which AI capability leads to CE practice adoption and cognitive rigidity as the inhibitor that reduces the positive effect of knowledge integration. Structural equation modeling and moderated mediation tests are applied to a survey of 414 construction professionals. Results suggest that AI capability promotes new ways of working and CE practices indirectly through its influence on knowledge integration; however, this influence is attenuated when cognitive rigidity hampers knowledge integration. The research extends STS theory into a domain of innovation management by integrating its cognitive, technical, and organizational elements. Our findings offer practical implications for industry practitioners, suggesting that building CE capacity goes beyond adopting digital technology; it also involves fostering cognitive agility and robust knowledge exchange mechanisms to enable those technologies to translate into innovation.

人工智能（AI）的变革潜力正在促使建筑组织重新定义进步的概念。然而，从数字化能力向更高层次的创新意识的转变并非必然。本研究深入探讨了人工智能能力对创新驱动的循环经济（CE）实践的影响，提供了证据表明，如果没有有利的认知和组织环境，仅靠技术进步无法推动变革。我们采用社会技术系统（STS）理论的视角，将知识整合概念化为AI能力导致CE实践采用的机制，并将认知刚性作为降低知识整合积极效应的抑制剂。运用结构方程模型和有调节中介检验对414名建筑专业人员进行了问卷调查。结果表明，人工智能能力通过其对知识整合的影响间接促进了新的工作方式和行政实践；然而，当认知僵化阻碍知识整合时，这种影响减弱。本研究通过整合STS理论的认知、技术和组织要素，将其扩展到创新管理领域。我们的研究结果为行业从业者提供了实际意义，表明构建CE能力不仅仅是采用数字技术；它还包括培养认知敏捷性和健全的知识交流机制，以使这些技术转化为创新。

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引用次数: 0

Disclosing the twin transition: digital and green transformation in Italian universities from an institutional perspective 揭示双重转型：从制度角度看意大利大学的数字化和绿色转型

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.2026.100964

Claudia Spilotro , Michele Posa , Giustina Secundo , Ivano De Turi

The intertwined agendas of digitalisation and sustainability have propelled the ‘twin transition’ to the forefront of scholarship and policy, yet its articulation in higher education remains insufficiently understood. Adopting an institutional theory lens, we examine how Italian universities disclose their twin transition efforts, analysing the most recent strategic documents from 97 institutions using a mixed-methods design. Through an exploratory content analysis, we develop two novel breadth indicators, the Digital Transition Disclosure Breadth Index and the Green Transition Disclosure Breadth Index, which inform a k-means cluster analysis of disclosure profiles. Five archetypes emerge: Laggers, Digital Sprinters, Green Climbers, Twin Shapers, and Twin Masters, revealing pronounced heterogeneity and a prevalence of selective or symbolic reporting. Building on this, we theorise disclosure as a field-level mechanism shaped by coercive, normative, and mimetic pressures, and propose a conceptual framework of five strategic orientations: inertia, competition, compliance, integration, and innovation, which map how universities negotiate competing digital–green logics. The study contributes by offering a systematic mapping of twin disclosure in universities, introducing replicable twin-transition indices, advancing twin-transition research with sector-specific evidence, and extending institutional theory through a framework that connects disclosure orientations with isomorphic dynamics and organisational agency. Implications point to the need for joint twin transition metrics, robust data and knowledge infrastructures, and integrative governance within universities, alongside calibrated policy instruments that encourage balanced, verifiable disclosure and accelerate substantive twin-transition progress.

数字化和可持续性交织在一起的议程将“双重转型”推向了学术和政策的前沿，但其在高等教育中的作用仍未得到充分理解。采用制度理论的视角，我们研究了意大利大学如何披露他们的双重转型努力，使用混合方法设计分析了来自97所大学的最新战略文件。通过探索性的内容分析，我们开发了两个新的广度指标，即数字化转型披露广度指数和绿色转型披露广度指数，它们为披露概况的k均值聚类分析提供了信息。出现了五种原型：Laggers， Digital sprters， Green攀登者，Twin Shapers和Twin Masters，揭示了明显的异质性和选择性或象征性报告的流行。在此基础上，我们将信息披露理论化为一种由强制、规范和模仿压力形成的现场级机制，并提出了五个战略方向的概念框架：惯性、竞争、合规、整合和创新，这描绘了大学如何谈判竞争的数字绿色逻辑。该研究的贡献在于提供了大学双重披露的系统映射，引入了可复制的双重转型指数，用特定部门的证据推进了双重转型研究，并通过将披露取向与同构动力学和组织机构联系起来的框架扩展了制度理论。由此可见，需要建立联合的双转型指标、健全的数据和知识基础设施、大学内部的综合治理，以及鼓励平衡、可核查的信息披露和加速双转型实质性进展的校准政策工具。

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引用次数: 0

Innovation-driven sustainable development: Analysing the impact of digital technology on synergistic governance of pollution and carbon reduction 创新驱动的可持续发展：数字技术对污染与碳减排协同治理的影响分析

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-06-01 Epub Date: 2026-02-13 DOI: 10.1016/j.jik.2026.100978

Yang Shen , Xiuwu Zhang , Xinzi Wang

Air pollution and carbon emissions have a common source. Determining how to achieve coordinated emission reduction between the two is crucial for advancing sustainable development. Although digital technology (DT) is often regarded as an important tool for sustainable development, it remains uncertain whether it can simultaneously achieve dual benefits for the environment and climate. Based on a balanced panel data set of 269 cities in China from 2006 to 2023, this study empirically examined the impact of digital technology on the synergistic governance of pollution and carbon reduction (SGPCR) using dual machine learning. The results show that DT has a significant positive impact on SGPCR. This positive effect is nonlinear, starting slowly and then accelerating. From the perspectives of DT applications, big data analysis, intelligent manufacturing, the Internet of Things, artificial intelligence, and blockchain technology, these technologies contribute to enhancing co-benefits in the economy and society. The results of the mechanism analysis show that the positive impact of digital technology on collaborative emission reduction is achieved through channels such as promoting green technological innovation, enhancing energy efficiency, and driving the agglomeration of digital industries. The results of heterogeneity tests based on different standards show that the positive role of DT is more pronounced in non-resource-based cities, regions with a higher intensity of ecological protection and civilisation construction, and cities with more complete digital infrastructure.

空气污染和碳排放有一个共同的来源。如何实现两者的协调减排，对推进可持续发展至关重要。虽然数字技术经常被视为可持续发展的重要工具，但它能否同时实现环境和气候的双重效益仍不确定。基于2006 - 2023年中国269个城市的平衡面板数据集，本研究利用双机器学习实证检验了数字技术对污染与碳减排协同治理（SGPCR）的影响。结果表明，DT对SGPCR有显著的正向影响。这种积极的影响是非线性的，开始缓慢，然后加速。从DT应用、大数据分析、智能制造、物联网、人工智能、区块链技术等角度来看，这些技术有助于提高经济和社会的协同效益。机制分析结果表明，数字技术对协同减排的积极影响是通过促进绿色技术创新、提升能效、带动数字产业集聚等渠道实现的。基于不同标准的异质性检验结果表明，在非资源型城市、生态保护和文明建设强度较高的地区以及数字基础设施较完善的城市，数字化创新的积极作用更为明显。

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引用次数: 0

The knowledge of ethical AI decision-making: A behavioral economics perspective 伦理人工智能决策的知识：行为经济学视角

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-06-01 Epub Date: 2026-02-05 DOI: 10.1016/j.jik.2026.100967

Rita Bužinskienė , Astrida Miceikienė , Álvaro Hernández-Tamurejo , José Ramón Saura

Focusing on artificial intelligence (AI) ethics and behavioral economics, this paper demonstrates how integrating behavioral insights can inform ethical guidelines for AI-based systems. Recent developments conceptualize AI as a key to critical sectors such as finance, marketing, and healthcare, thereby prompting a widespread recognition of its potential to reinforce or mitigate societal biases. However, while AI ethics has emphasized technical concerns such as data fairness and algorithmic transparency, insights from behavioral economics remain largely untapped. To bridge this gap in the literature, the present study uses a three-stage methodology. First, a systematic literature review (SLR) is conducted to identify gaps in AI ethics frameworks and to establish how key behavioral economic principles can enhance transparent decision making. Second, in-depth interviews are performed to collect additional insights and to compare how the results compare with those obtained from the SLR. Third, a topic modeling-based model, latent Dirichlet allocation (LDA), supported by the Computer-Assisted Text Analysis (CATA) framework, is applied to the collected interview corpus in order to identify the main topics in the data. The results reveal that ethical AI is increasingly understood by professionals not only as a technical issue but also as a behavioral and organizational one. Specifically, we identify five main topics from the interview content, namely Data & transparency, Behavioral insights & design, Legal/ethical frameworks, Implementation challenges & infrastructure, and Civic/stakeholder engagement. The first three of these topics dominate in the current discourse on AI decision making. The results also reveal that cognitive biases, such as anchoring and confirmation bias, affect the data that feed AI algorithms and user interaction with AI-driven outputs. If these biases remain unaddressed, they can amplify ethical risks. However, awareness of such patterns can inform practical design and governance strategies so as to improve transparency, fairness, and user engagement. Finally, based on the findings, four research proposals are advanced to clarify how behavioral economics can be systematically integrated into ethical AI decision making.

本文以人工智能（AI）伦理和行为经济学为重点，展示了如何整合行为洞察来为基于人工智能的系统提供伦理指导。最近的发展将人工智能概念化为金融、营销和医疗保健等关键部门的关键，从而促使人们广泛认识到人工智能有可能加强或减轻社会偏见。然而，尽管人工智能伦理强调了数据公平性和算法透明度等技术问题，但行为经济学的见解在很大程度上仍未得到开发。为了弥补文献中的这一差距，本研究采用了三阶段方法。首先，进行了系统的文献综述（SLR），以确定人工智能伦理框架中的差距，并确定关键的行为经济原则如何提高决策的透明度。其次，进行深入访谈以收集额外的见解，并将结果与从单反获得的结果进行比较。第三，在计算机辅助文本分析（CATA）框架的支持下，将基于主题建模的潜在狄利克雷分配（LDA）模型应用于收集的访谈语料库，以识别数据中的主要主题。结果表明，专业人士越来越多地将道德人工智能理解为不仅是一个技术问题，而且是一个行为和组织问题。具体来说，我们从访谈内容中确定了五个主要主题，即数据和透明度、行为洞察和设计、法律/道德框架、实施挑战和基础设施，以及公民/利益相关者参与。前三个主题在当前关于人工智能决策的讨论中占主导地位。研究结果还表明，认知偏差，如锚定和确认偏差，会影响为人工智能算法和用户交互提供人工智能驱动输出的数据。如果这些偏见得不到解决，它们可能会放大伦理风险。然而，了解这些模式可以为实际设计和治理策略提供信息，从而提高透明度、公平性和用户参与度。最后，基于这些发现，提出了四项研究建议，以阐明如何将行为经济学系统地整合到伦理人工智能决策中。

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引用次数: 0

Consumer intentions to purchase wines with Blockchain and quick-response code tracking: Insights from an extended stimulus–organism–response model 消费者购买带有区块链和快速响应代码跟踪的葡萄酒的意图：来自扩展刺激-有机体-反应模型的见解

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-05-01 Epub Date: 2026-01-15 DOI: 10.1016/j.jik.2026.100944

Ángel Peiró-Signes , Nino Adamashvili , Magdaléna Tupá , Antonino Galati

Consumers’ demand for transparency, authenticity and safety in food and beverage products continues to rise. Blockchain technology (BCT) and quick-response (QR) codes have emerged as powerful tools for enhancing product traceability. Understanding the psychological and behavioural mechanisms underlying consumers’ acceptance of such technologies is crucial for producers and policymakers alike. Therefore, this study explores the factors influencing consumers’ intention to purchase wines traceable through BCT and QR codes through an extended stimulus–organism–response model enriched with constructs from the theory of perceived risk. A survey was conducted in February 2025 with a sample representative of the Italian population (N = 1001). The collected data were analysed using a validated partial least squares structural equation modelling approach to examine how external stimuli (transparency and traceability, diagnosticity, subjective norms and facilitating conditions), individual perceptions (perceived value, trust and usefulness), emotional responses (hedonic perception), risk perception, and BCT knowledge shape consumers’ purchase intention. The results show that diagnosticity and transparency significantly enhance perceived value, which in turn strongly influences purchase intention. While knowledge of BCT positively affects hedonic perception, it has a limited effect on perceived usefulness or trust, highlighting that technological familiarity is not a dominant driver of technology adoption. However, hedonic perception emerges as the strongest predictor of purchase intention, highlighting the importance of designing engaging and enjoyable traceability experiences. Social and contextual factors, particularly subjective norms and facilitating conditions, significantly affect perceived usefulness, which in turn contributes to purchase intention. Perceived risk has a significant but relatively small effect on purchase intention. The model explains 68.1% of the variance in purchase intention, offering novel insights for technology developers, marketers and policymakers seeking to foster consumers’ acceptance of digital traceability in the wine sector.

消费者对食品和饮料产品的透明度、真实性和安全性的要求不断提高。区块链技术（BCT）和快速响应（QR）码已成为增强产品可追溯性的有力工具。了解消费者接受此类技术的心理和行为机制对生产者和决策者都至关重要。因此，本研究通过一个扩展的刺激-有机体-反应模型，结合感知风险理论的构式，探讨影响消费者购买可通过BCT和QR码追踪的葡萄酒意愿的因素。2025年2月进行了一项调查，抽样代表了意大利人口（N = 1001）。收集到的数据使用经过验证的偏最小二乘结构方程建模方法进行分析，以研究外部刺激（透明度和可追溯性、诊断性、主观规范和促进条件）、个人感知（感知价值、信任和有用性）、情绪反应（享乐感知）、风险感知和BCT知识如何塑造消费者的购买意愿。结果显示，诊断性和透明度显著提升感知价值，进而强烈影响购买意愿。虽然BCT知识对享乐感知有积极影响，但它对感知有用性或信任的影响有限，这表明技术熟悉度并不是技术采用的主要驱动因素。然而，享乐感知是购买意愿的最强预测因子，这突出了设计引人入胜和愉快的可追溯体验的重要性。社会和环境因素，特别是主观规范和便利条件，显著影响感知有用性，进而影响购买意愿。感知风险对购买意愿的影响显著但相对较小。该模型解释了68.1%的购买意愿差异，为技术开发人员、营销人员和政策制定者提供了新的见解，以促进消费者接受葡萄酒行业的数字可追溯性。

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引用次数: 0

Corporate alignment to innovation and knowledge: detecting patterns in multidimensional impact across global industries 企业与创新和知识的一致性：在全球行业的多维影响中检测模式

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-05-01 Epub Date: 2025-12-20 DOI: 10.1016/j.jik.2025.100917

Alexandra Horobet , Arindam Banerjee , Ioana-Alexandra Radu , Cosmin-Alin Botoroga

This study examines the impact of a commitment to Sustainable Development Goal 9 (SDG 9) objectives by exploring sectoral and regional disparities in how companies aligned with this goal leverage digital technologies and knowledge, foster innovation ecosystems, and deliver measurable contributions to sustainable infrastructure development. Using the SDG-aligned revenue share as the main metric for SDGs commitment across 5,323 global companies provided by the Upright platform, we employed a machine-learning-based k-means clustering algorithm to detect patterns of net impacts created across the Society, Knowledge, Health, and Environment (SKHE) dimensions. We also uncovered sectoral and geographical patterns of the companies investigated. Our findings show that alignment with SDG 9 (Industry, Knowledge, and Innovation) is associated with corporate commitment to SKHE dimensions, as well as sectoral and, to some extent, geographical scope. The results offer practical implications for investors, policymakers designing regulations and guidelines to improve sustainability disclosure, and company executives who are developing sustainability strategies.

本研究考察了对可持续发展目标9 （SDG 9）目标的承诺所产生的影响，探讨了实现这一目标的企业在利用数字技术和知识、培育创新生态系统以及为可持续基础设施发展做出可衡量贡献方面的行业和地区差异。我们使用与可持续发展目标一致的收入份额作为衡量5323家全球公司可持续发展目标承诺的主要指标，采用基于机器学习的k-means聚类算法来检测社会、知识、健康和环境（SKHE）维度产生的净影响模式。我们还发现了被调查公司的行业和地理模式。我们的研究结果表明，与可持续发展目标9（工业、知识和创新）的一致性与企业对SKHE维度的承诺以及部门和某种程度上的地理范围有关。研究结果对投资者、制定法规和指导方针以改善可持续发展信息披露的政策制定者以及正在制定可持续发展战略的公司高管具有实际意义。

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引用次数: 0

Are net zero emissions a priority for able CEOs? 净零排放是有能力的ceo的优先事项吗？

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-05-01 Epub Date: 2026-01-17 DOI: 10.1016/j.jik.2026.100945

Isabel-María García-Sánchez

It is vital for society to understand the climate ambitions of corporate leaders, as the commitments and actions they promote to address global warming can help create a more sustainable future for all. Furthermore, the endeavour to attain net zero will engender an irrevocable transformation of business as we know it. In this paper, we assess how companies respond to climate change, using a score that measures their strategic and operational efforts to achieve net zero emissions. For a balanced data panel of 5047 international companies in the period 2015–2022, our evidence shows that firms led by able CEOs present an upper level of implementation and progress with their climate action plan, better anticipating global challenges. In the case of less able CEOs, their interest arises as a response to solutions proposed for economic recovery or new needs in terms of energy management, derived from the disruptive events in the period 2020–2022, or appears in a company with stronger governance mechanisms that limit the CEO’s discretion.

对于社会来说，了解企业领导人的气候抱负至关重要，因为他们为应对全球变暖所做出的承诺和采取的行动，有助于为所有人创造一个更可持续的未来。此外，实现净零的努力将导致我们所知的商业不可逆转的转变。在本文中，我们评估了企业如何应对气候变化，使用一个分数来衡量他们在实现净零排放方面的战略和运营努力。对于2015-2022年5047家跨国公司的平衡数据面板，我们的证据表明，由有能力的首席执行官领导的公司在气候行动计划的实施和进展方面表现出更高的水平，能够更好地预测全球挑战。在能力较差的CEO的情况下，他们的兴趣是对经济复苏提出的解决方案或能源管理方面的新需求的回应，源于2020-2022年期间的破坏性事件，或者出现在具有更强大的治理机制的公司，限制了CEO的自由裁量权。

引用次数: 0

Environmental, organizational, and individual determinants of AI adoption: A multilevel knowledge and analysis 人工智能采用的环境、组织和个人决定因素：多层次的知识和分析

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-05-01 Epub Date: 2026-01-07 DOI: 10.1016/j.jik.2025.100934

Flávio Tiago , António Almeida

This study examined the determinants of artificial intelligence (AI) adoption in small- and medium-sized enterprises (SMEs) through a comprehensive dual-methodology approach. Drawing on the Country-Human resources-Adoption/technological-INdividual AI adoption (CHAIN-AI) framework, we integrated different theoretical currents, namely, the Technology-Organization-Environment (TOE) framework, the Technology Acceptance Model (TAM), and Regret Theory (RT), to analyze adoption patterns across multiple levels. Our research methodology encompassed two distinct phases. First, we conducted a macro-level analysis using Eurobarometer (2023) survey data to examine AI adoption trends across European SMEs. Second, we administered an online survey to 186 digital marketing professionals to investigate micro-level adoption behaviors and attitudes. Study 1 revealed significant correlations between AI adoption rates and organizational characteristics, including firm size, sector, and geographic location. Larger and service-oriented firms demonstrated higher adoption propensities. Macroeconomic indicators such as gross domestic product (GDP) and innovation capacity were positively correlated with adoption rates, whereas cultural dimensions, particularly long-term orientation (LTO), exhibited negative correlations. Study 2 illustrated the psychological and organizational mechanisms underlying AI adoption, with perceived usefulness (PU) emerging as the primary predictor of behavioral intention. In contrast, perceived ease of use (PEOU) showed non-significant effects on adoption outcomes. Post-adoption regret (R) negatively influenced both attitudes and behavioral intentions toward AI implementation. This study contributes to the literature on technology adoption by providing an empirically grounded framework for understanding the dynamics of AI adoption in SMEs. This model offers evidence-based recommendations for policy development and organizational implementation strategies.

本研究通过全面的双方法学方法研究了中小型企业采用人工智能（AI）的决定因素。利用国家-人力资源-采用/技术-个人人工智能采用（CHAIN-AI）框架，我们整合了不同的理论潮流，即技术-组织-环境（TOE）框架、技术接受模型（TAM）和后悔理论（RT），以分析多层次的采用模式。我们的研究方法包括两个不同的阶段。首先，我们使用Eurobarometer（2023）调查数据进行了宏观层面的分析，以检查欧洲中小企业采用人工智能的趋势。其次，我们对186名数字营销专业人士进行了一项在线调查，以调查微观层面的采用行为和态度。研究1揭示了人工智能采用率与组织特征之间的显著相关性，包括公司规模、行业和地理位置。大型和服务型公司表现出更高的采用倾向。宏观经济指标如国内生产总值（GDP）和创新能力与采用率正相关，而文化维度，特别是长期导向（LTO）则表现出负相关。研究2说明了人工智能采用背后的心理和组织机制，其中感知有用性（PU）成为行为意向的主要预测因素。相比之下，感知易用性（PEOU）对采用结果的影响不显著。采用后后悔(R)对人工智能实施的态度和行为意图均有负向影响。本研究为理解中小企业采用人工智能的动态提供了一个基于经验的框架，从而对技术采用的文献做出了贡献。该模型为政策制定和组织实施战略提供了基于证据的建议。

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引用次数: 0