Technology in Society最新文献

Can digital literacy shaped by SES-driven social capital predict secondary school graduates' access to higher education?: Exploring the impact of gender 由ses驱动的社会资本塑造的数字素养能否预测中学毕业生接受高等教育的机会？：探讨性别的影响

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-01-23 DOI: 10.1016/j.techsoc.2026.103242

Gazi Mahabubul Alam , Shiwei Wang , Karima Bashir , Miao Lei

In the discussion of social capital and social equality, gender is still one of the most important variables that may navigate once's opportunity to pursue higher education. Despite numerous studies having examined the influence of digital literacy, socioeconomic status (SES), social capital, and their subsequent impact on access to higher education (HE), investigating the inputs and output paths of graduates using gender as a theme is yet to be done. Viewing the input path as secondary education certification and admission into university as the output path, 623 secondary school graduates for Study-1 and 635 secondary school graduates for Study-2 were examined using the quantitative method. Primary data was collected through a questionnaire to assess one independent variable (social capital), while secondary data stored in the institutions serve to measure the independent (SES), mediator, moderator and dependent variables. Multiple regression, interaction terms and KHB (Karlson-Holm-Breen method) analysis were utilized to analyse the data. Results indicated that SES-driven social capital predicts the digital literacy, and digital literacy mediates the relationship between graduates' social capital and access to HE. Furthermore, gender does not moderate the correlations between digital literacy and access to higher education. This paper contributes to the discourse on technology in societies and inequalities in higher education. The study concludes that digital discrimination increases inequality in terms of people's access to higher education. However, gender does not pose any technological discrimination for graduates in China.

在社会资本和社会平等的讨论中，性别仍然是影响一个人是否有机会接受高等教育的最重要变量之一。尽管已有大量研究考察了数字素养、社会经济地位（SES）、社会资本的影响及其对获得高等教育的后续影响，但以性别为主题调查毕业生的投入和产出路径尚待完成。以中等教育认证为输入路径，以大学入学为输出路径，采用定量方法对研究1的623名中学毕业生和研究2的635名中学毕业生进行了调查。主要数据通过问卷收集来评估一个自变量（社会资本），而储存在机构中的次要数据用于测量自变量（SES）、中介变量、调节变量和因变量。采用多元回归、交互项及KHB （Karlson-Holm-Breen method）方法对数据进行分析。结果表明，ses驱动的社会资本预测数字素养，数字素养在毕业生社会资本与高等教育获取之间起中介作用。此外，性别并不能调节数字素养与接受高等教育之间的相关性。本文对社会中的技术和高等教育中的不平等现象的论述作出了贡献。该研究得出结论，数字歧视加剧了人们接受高等教育的不平等。然而，在中国，性别并没有对毕业生构成任何技术歧视。

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引用次数: 0

Have industrial robots reduced carbon emissions? Empirical evidence from China 工业机器人减少了碳排放吗？来自中国的经验证据

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-01-23 DOI: 10.1016/j.techsoc.2026.103244

Mengyu Wang, Bingnan Guo

Intelligent manufacturing is a key focus in the construction of a strong manufacturing nation, and its level of development directly impacts the quality of China's manufacturing industry. This paper analyzes the impact of industrial robots on carbon emissions from both theoretical and empirical perspectives. An empirical study based on panel data from Chinese cities reveals that industrial robots can effectively reduce manufacturing carbon emissions in urban areas and promote a shift towards a low-carbon economy. The conclusion remains valid even after a series of robustness and endogeneity tests. Further examination of the mechanisms indicates that green technology innovation and the degree of human-robot matching are significant factors in industrial robots' ability to mitigate manufacturing carbon emissions. By incorporating robot factors into the log-mean divisia index decomposition mode(LMDI), our findings show that the technological effect of emission reduction from robots surpasses the scale effect of increased emissions. This finding supports the green and intelligent development of the manufacturing sector and helps forge new competitive advantages in achieving carbon peak and carbon neutrality goals.

智能制造是中国制造业强国建设的重点，其发展水平直接影响到中国制造业的质量。本文从理论和实证两方面分析了工业机器人对碳排放的影响。一项基于中国城市面板数据的实证研究表明，工业机器人可以有效减少城市地区制造业的碳排放，促进向低碳经济的转变。即使经过一系列稳健性和内生性检验，结论仍然有效。对机制的进一步研究表明，绿色技术创新和人机匹配程度是工业机器人减少制造业碳排放能力的重要因素。通过将机器人因素纳入对数均值可分指数分解模型（LMDI），我们的研究结果表明，机器人减排的技术效应超过了排放增加的规模效应。这一发现支持制造业的绿色和智能发展，有助于在实现碳峰值和碳中和目标方面形成新的竞争优势。

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引用次数: 0

Navigating frictions and drivers in international research collaboration – the case of BRICS nations 驾驭国际研究合作中的摩擦和驱动因素——以金砖国家为例

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-01-21 DOI: 10.1016/j.techsoc.2026.103241

Angelica Pigola , Bruno Fischer , Gustavo Hermínio Salati Marcondes de Moraes , Dirk Meissner , Zhou Yuan , Zhongzhen Miao

International research collaboration plays an increasingly important role in shaping global scientific agendas. Yet limited empirical attention has been given to how these dynamics unfold in emerging economies. This paper investigates the effects of collaboration frictions, execution challenges, strategic incentives, and trust asymmetries on scientific outcomes in international research collaborations among BRICS academics. Drawing on transaction cost economics, organizational behavior, and process-based trust theory, we develop and test a structural model using survey data from 396 respondents engaged in international collaborative research. Scientific outcomes are defined as tangible and strategic outputs such as technological innovations, R&D infrastructure, and institutional agreements. Contrary to expectations, execution challenges are positively associated with scientific outcomes, suggesting that operational complexity may reflect innovation ambition rather than dysfunction. Strategic incentives emerge as the strongest positive predictor of scientific outcomes. Trust asymmetries, though not directly associated with outcomes, significantly moderate collaboration mechanisms—attenuating the positive influence of strategic incentives and weakening the positive association between execution challenges and scientific outcomes under relational imbalance, while indicating that the relationship between collaboration frictions and scientific outcomes varies across trust conditions. These results challenge conventional assumptions that prioritize friction-free coordination, instead highlighting how relational imbalances can distort collaboration dynamics. The study contributes to a more context-sensitive understanding of research governance in the Global South and offers practical insights into designing resilient, equitable partnerships in complex environments.

国际研究合作在形成全球科学议程方面发挥着越来越重要的作用。然而，对于这些动态如何在新兴经济体中展开，实证关注有限。本文研究了合作摩擦、执行挑战、战略激励和信任不对称对金砖国家学者国际科研合作成果的影响。利用交易成本经济学、组织行为学和基于过程的信任理论，我们利用参与国际合作研究的396名受访者的调查数据，开发并检验了一个结构模型。科学成果被定义为有形的和战略性的产出，如技术创新、研发基础设施和制度协议。与预期相反，执行挑战与科学成果呈正相关，这表明操作复杂性可能反映的是创新雄心，而不是功能障碍。战略激励是科学成果最有力的积极预测因素。信任不对称虽然与成果没有直接关系，但显著调节了合作机制——在关系不平衡的情况下，削弱了战略激励的积极影响，减弱了执行挑战与科学成果之间的正相关，同时表明合作摩擦与科学成果之间的关系在不同的信任条件下有所不同。这些结果挑战了优先考虑无摩擦协调的传统假设，而不是强调关系不平衡如何扭曲协作动态。该研究有助于对全球发展中国家的研究治理有更具体的理解，并为在复杂环境中设计有弹性、公平的伙伴关系提供了实际见解。

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引用次数: 0

Reinforcing financial and accounting resilience in digital circular platforms: The strategic role of digital governance and organizational culture 加强数字循环平台的财务和会计弹性：数字治理和组织文化的战略作用

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-01-14 DOI: 10.1016/j.techsoc.2026.103239

Ming Zhu , Prashant Sharma , Salwa Saleh Almasabi , Varun Chotia , Gian Luca Gregori , Manlio Del Giudice

Digital circular platforms are a new form of socio-technical ecosystems integrating digital technologies, financial innovation and organizational sustainability practices designed to build resilience and regenerative value. This research studied the effect of digital platform functionality, digital governance maturity and platform-based financial mechanism on financial and accounting resilience through the mediating impact of organisational culture for sustainability and circular business model innovation. Using dynamic capabilities view and socio-technical systems theory as a theoretical foundation, the current research develops and tests a serial mediation model using data from 297 professionals. Digital governance maturity and platform-based financial mechanism improve financial and accounting resilience significantly to a considerable degree. Organisational culture for sustainability and circular business model innovation exhibit serial mediating effects. Thus, it confirms that a mechanism exists between digital and financial enablers leading to resilience outcomes. The considerable variance in financial and accounting resilience can be explained by the model. Therefore, it can be inferred that adaptive governance and innovation-driven culture are critical to sustaining circular digital ecosystems. This study enhances the understanding of how digital governance and circular innovation are linked through organizational culture-based mediating pathways. Practically, it provides actionable guidance for platform managers and policymakers to facilitate their establishment of integrative digital financial and accounting systems that generate resilience, adaptability, and long-term sustainability for circular business systems.

数字循环平台是一种新型的社会技术生态系统，整合了数字技术、金融创新和组织可持续性实践，旨在建立弹性和再生价值。本研究通过组织文化对可持续性和循环商业模式创新的中介影响，研究了数字平台功能、数字治理成熟度和平台型财务机制对财务和会计弹性的影响。本研究以动态能力观和社会技术系统理论为理论基础，利用297名专业人员的数据，开发并检验了一个序列中介模型。数字治理成熟度和基于平台的财务机制在相当程度上显著提高了财务和会计弹性。组织文化对可持续发展和循环商业模式创新表现出串行中介效应。因此，它证实了数字和金融推动者之间存在导致弹性结果的机制。财务和会计弹性的巨大差异可以用模型来解释。因此，可以推断，适应性治理和创新驱动文化对于维持循环数字生态系统至关重要。本研究通过基于组织文化的中介途径增强了对数字治理与循环创新之间关系的理解。实际上，它为平台管理者和政策制定者提供了可操作的指导，以促进他们建立综合数字财务和会计系统，为循环业务系统提供弹性、适应性和长期可持续性。

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引用次数: 0

Generative AI and responsible supply chains: When sustainability gains undermine social legitimacy 生成式人工智能和负责任的供应链：当可持续性收益破坏社会合法性时

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-01-14 DOI: 10.1016/j.techsoc.2026.103240

Min Jae Park

Generative artificial intelligence (GenAI) is increasingly adopted in supply chains to advance sustainability goals; however, empirical evidence on its environmental and social consequences remains limited and fragmented. This study examines how GenAI adoption affects responsible supply chain outcomes by integrating Difference-in-Differences (DiD) and fuzzy-set Qualitative Comparative Analysis (fsQCA). Using firm–quarter panel data from 320 South Korean firms covering the period from 2023Q1 to 2025Q2, we estimate the short-run causal effects of GenAI adoption on environmental, operational, and social performance, while also identifying the organizational configurations under which these effects emerge. The DiD results provide causal evidence that GenAI adoption significantly reduces CO₂ intensity and strengthens circular supply chain practices in the short term. Mediation analyses further show that these environmental benefits are realized primarily through enhanced circular practices rather than through direct improvements in operational efficiency. In contrast, the average effects on operational efficiency and social responsibility outcomes are statistically insignificant, indicating substantial heterogeneity across firms. The fsQCA analysis uncovers multiple sufficient pathways to sustainability. GenAI adoption combined with high absorptive capacity consistently produces environmental gains, whereas the combination of GenAI, responsible AI governance, and strong managerial commitment is the only configuration that generates joint environmental and social outcomes. Conversely, GenAI adoption in the absence of governance safeguards leads to environmental improvements while undermining social legitimacy, underscoring the conditional and double-edged nature of GenAI in supply chains. By integrating causal inference with configurational analysis, this study advances understanding of when and how GenAI contributes to responsible supply chains. The findings demonstrate that while GenAI can serve as a powerful enabler of circular and low-carbon supply chains, its broader social legitimacy critically depends on complementary organizational capabilities and governance arrangements.

生成式人工智能（GenAI）越来越多地应用于供应链，以推进可持续发展目标；然而，关于其环境和社会后果的经验证据仍然有限和分散。本研究通过整合差中差（DiD）和模糊集定性比较分析（fsQCA）来研究GenAI的采用如何影响负责任的供应链结果。利用覆盖2023年第一季度至2025年第二季度的320家韩国企业季度面板数据，我们估计了采用GenAI对环境、运营和社会绩效的短期因果影响，同时也确定了产生这些影响的组织结构。DiD的结果提供了因果证据，表明GenAI的采用在短期内显著降低了二氧化碳强度并加强了循环供应链实践。中介分析进一步表明，这些环境效益主要是通过加强循环实践实现的，而不是通过直接提高运营效率实现的。相比之下，对运营效率和社会责任结果的平均影响在统计上不显著，表明企业之间存在很大的异质性。fsQCA分析揭示了实现可持续性的多种充分途径。基因人工智能的采用与高吸收能力相结合，始终能产生环境效益，而基因人工智能、负责任的人工智能治理和强有力的管理承诺相结合，是产生环境和社会共同成果的唯一配置。相反，在缺乏治理保障的情况下采用基因人工智能会导致环境改善，同时破坏社会合法性，强调了基因人工智能在供应链中的条件和双刃剑性质。通过将因果推理与配置分析相结合，本研究促进了对GenAI何时以及如何为负责任的供应链做出贡献的理解。研究结果表明，虽然GenAI可以作为循环和低碳供应链的有力推动者，但其更广泛的社会合法性严重依赖于互补的组织能力和治理安排。

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引用次数: 0

Development and validation of a scale to assess algorithmic literacy in the context of recommender systems (ALRS) 在推荐系统（ALRS）背景下评估算法读写能力的量表的开发和验证

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-01-13 DOI: 10.1016/j.techsoc.2026.103237

José Manuel Sotero, Paulo Nuno Vicente, António Granado

Algorithmic systems, particularly recommender systems, are central to online platforms yet remain largely opaque to users. Algorithmic literacy has therefore emerged as a critical competence to foster informed and autonomous engagement, especially among younger audiences. This study developed and validated a multidimensional scale—Algorithmic Literacy in the Context of Recommender Systems (ALRS)— focused on online audiovisual entertainment platforms. An initial pool of 51 items, derived from the literature, was refined through expert content validation, cognitive interviews, and lexical review, resulting in 38 items. The instrument was tested with 1564 Portuguese students aged 15–25. Reliability analyses showed strong internal consistency (α = 0.955; ω = 0.955; Spearman-Brown = 0.881). Exploratory factor analysis identified five dimensions, and confirmatory factor analysis on an independent sample supported a second-order structure with excellent fit indices (χ²/df = 1.55; CFI = 0.991; RMSEA = 0.040). Composite reliability and average variance extracted were also satisfactory. The final 29-item ALRS scale demonstrates robust psychometric properties across five dimensions—awareness, knowledge, assessment, reflection, and practical use—offering a valid and reliable instrument to assess algorithmic literacy in the context of recommender systems, with applications in education, research, and policy.

算法系统，尤其是推荐系统，是在线平台的核心，但对用户来说，基本上仍然是不透明的。因此，算法素养已成为促进知情和自主参与的关键能力，尤其是在年轻受众中。本研究开发并验证了一个多维尺度——推荐系统背景下的算法读写能力（ALRS）——专注于在线视听娱乐平台。最初的51个条目来源于文献，经过专家内容验证、认知访谈和词汇审查，最终得到38个条目。1564名15-25岁的葡萄牙学生对该乐器进行了测试。信度分析显示内部一致性较强（α = 0.955; ω = 0.955; Spearman-Brown = 0.881）。探索性因子分析确定了五个维度，独立样本的验证性因子分析支持二阶结构，拟合指数良好（χ2/df = 1.55; CFI = 0.991; RMSEA = 0.040）。提取的综合信度和平均方差也令人满意。最终的29项ALRS量表在五个维度（意识、知识、评估、反思和实际使用）上展示了强大的心理测量特性，为评估推荐系统背景下的算法素养提供了有效可靠的工具，并在教育、研究和政策方面得到了应用。

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引用次数: 0

Beyond the buffer effect: The paradox of institutional facilitation in sUAS adoption within aircraft maintenance 超越缓冲效应：飞机维修中采用sUAS的制度便利悖论

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-01-12 DOI: 10.1016/j.techsoc.2026.103221

Jordan Baus, Kiljae Lee, Tamilla Curtis

This study recontextualizes technology adoption theory within the high-stakes, rules-based domain of aircraft maintenance. Using survey data from 527 aviation maintenance professionals analyzed through a two-stage PLS-SEM approach, we reveal that institutional norms and facilitation operate with a dual function, challenging their well-documented role as a unidirectional enabler. Contrary to conventional stress-buffering assumptions, facilitation does not reduce anxiety. Instead, it functions as an exposure mechanism, amplifying anxiety by heightening awareness of regulatory and procedural complexities. This anxiety, in turn, functions as a significant deterrent to adoption. However, facilitation also exerts a dominant, direct positive influence (

β = 0.716

) that overshadows this psychological resistance. These results reveal a paradox of institutional facilitation: an anxiety amplifier that is overridden by institutional imperatives. We demonstrate that in this high-stakes context, adoption is less an act of individual volition and more an organizational mandate. Established adoption models must therefore be adapted for regulated environments, underscoring the need for strategies that empower, not merely expose, professionals to technological change.

本研究将技术采用理论重新置于高风险、基于规则的飞机维修领域。通过两阶段PLS-SEM方法分析527名航空维修专业人员的调查数据，我们发现制度规范和便利具有双重功能，挑战了它们作为单向推动者的良好记录。与传统的压力缓冲假设相反，促进并不能减少焦虑。相反，它是一种暴露机制，通过提高对监管和程序复杂性的认识，放大焦虑。这种焦虑反过来又对收养起到了重要的阻碍作用。然而，促进也发挥了主导的、直接的积极影响（β=0.716），掩盖了这种心理阻力。这些结果揭示了制度便利的一个悖论：一个被制度要求压倒的焦虑放大器。我们证明，在这种高风险的背景下，采用不是个人意志的行为，而是组织的命令。因此，必须对已建立的采用模式进行调整，以适应受管制的环境，强调需要制定战略，赋予专业人员权力，而不仅仅是使他们接触到技术变革。

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引用次数: 0

Harnessing AI-metaverse synergies for smart sustainability: A knowledge management perspective on immersion, ethics, and decentralization 利用ai -meta协同效应实现智能可持续性：沉浸式、伦理和去中心化的知识管理视角

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-01-10 DOI: 10.1016/j.techsoc.2026.103234

Ebtesam Abdullah Alzeiby , Vinay Khandelwal , Jiyang Cheng , Snigdha Dash , Valerio Temperini , Rosa Palladino

Businesses are increasingly using technology to assist in running their organizations. AI and the metaverse together have the potential to reform knowledge management with sustainable opportunities. This study discusses the impact of immersive digital environments and decentralized AI-based architecture on smart knowledge systems and cognitive transformation. This study further examines how these mechanisms foster sustainability-driven business models and resilient knowledge ecosystems. A structural model was tested with data of 290 professionals. The findings reveal that immersive and decentralized technologies advance organizational knowledge systems and induce cognitive transformation in employees, resulting in sustainable business models and resilient ecosystems. Mediation analysis reveals that immersive and decentralized technologies translate into strategic outcomes through knowledge systems and cognitive transformation. However, cognitive transformation fails to mediate the decentralization and resilience nexus. This implies the need for knowledge systems to support transformation, but systematically. Building on the socio-technical systems theory, the study concludes that for digital transformation to occur, the system-level processes and the forces driving cognitive change must also coincide to drive sustainability. The findings present ethical dimensions underlying AI-driven knowledge systems related to transparency, trust, and inclusion.

企业越来越多地使用技术来帮助他们的组织运行。人工智能和元宇宙一起有可能以可持续的机会改革知识管理。本研究探讨了沉浸式数字环境和分散式ai架构对智能知识系统和认知转换的影响。本研究进一步探讨了这些机制如何促进可持续性驱动的商业模式和弹性知识生态系统。用290名专业人员的数据对结构模型进行检验。研究结果表明，沉浸式和分散式技术促进了组织知识系统的发展，并引发了员工的认知转变，从而形成了可持续的商业模式和弹性生态系统。中介分析表明，沉浸式和分散式技术通过知识系统和认知转化转化为战略成果。然而，认知转换并不能调解去中心化和弹性之间的关系。这意味着需要知识系统来系统地支持转换。基于社会技术系统理论，该研究得出结论，要实现数字化转型，系统级过程和推动认知变化的力量也必须同时推动可持续性。研究结果揭示了与透明度、信任和包容性相关的人工智能驱动的知识系统的伦理维度。

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引用次数: 0

AI-driven financial operational Efficiency: A dynamic capabilities perspective on knowledge-oriented leadership and financial flexibility 人工智能驱动的财务运营效率：基于知识导向领导和财务灵活性的动态能力视角

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-01-10 DOI: 10.1016/j.techsoc.2026.103235

Zitao Yang , Zixiao Zhang , Huaxia Hu

While artificial intelligence (AI) offers transformative potential for corporate finance, the specific combination of organizational capabilities needed to achieve high operational efficiency remains ambiguous, particularly in knowledge-intensive firms. This study addresses this gap by moving beyond linear-causal models to uncover the synergistic pathways to success. Using a hybrid partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) methodology on survey data from the survey and design industry, we analyze how knowledge-oriented leadership, financial flexibility, trust in AI, and AI utilization combine to drive efficiency. Our findings reveal that no single capability is sufficient. Instead, high financial efficiency is achieved through multiple configurational pathways, all of which require a core foundation of knowledge-oriented leadership and financial flexibility. Critically, we find that trust in AI and the utilization of AI can function as substitutes for one another, demonstrating strategic equifinality. This study's primary contribution is to the Dynamic Capabilities Theory, revealing the complex, configurational, and substitutive nature of the capabilities required for AI-driven transformation and offering a nuanced strategic roadmap for managers.

虽然人工智能（AI）为企业融资提供了变革潜力，但实现高运营效率所需的组织能力的具体组合仍然不明确，特别是在知识密集型企业中。本研究通过超越线性因果模型来揭示通往成功的协同途径，从而解决了这一差距。利用混合偏最小二乘结构方程模型（PLS-SEM）和模糊集定性比较分析（fsQCA）方法对调查和设计行业的调查数据进行分析，我们分析了以知识为导向的领导力、财务灵活性、对人工智能的信任和人工智能的利用如何结合起来提高效率。我们的研究结果表明，单一的能力是不够的。相反，高财务效率是通过多种配置途径实现的，所有这些都需要以知识导向的领导和财务灵活性为核心基础。至关重要的是，我们发现对人工智能的信任和对人工智能的利用可以相互替代，表现出战略上的平等。这项研究的主要贡献是动态能力理论，揭示了人工智能驱动转型所需能力的复杂性、可配置性和可替代性，并为管理者提供了细致的战略路线图。

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引用次数: 0

Cognition to behavior? The impact of employee cognitive crafting with AI on proactive behavior 认知到行为？人工智能对员工主动行为的影响

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-01-10 DOI: 10.1016/j.techsoc.2026.103236

Yuanyuan Lan , Zhihui Wang , Yuhuan Xia , Shasha Liu , Yi Liu

Although employees within organizations are increasingly interacting with artificial intelligence (AI), research on how employees' cognitive crafting with AI in the new environment is limited. Grounded in sensemaking theory, the purpose of our study is to investigate how and when employees' cognitive crafting with AI impacts their proactive behavior. We conducted a multi-wave survey with 315 employees from an information technology services company in Northern China to examine our theoretical model. The findings indicate that employees’ cognitive crafting with AI is positively associated with job meaningfulness, which in turn is positively related to their proactive behavior. Moreover, organizational care moderates the positive relationship between cognitive crafting with AI and job meaningfulness, as well as the indirect relationship between cognitive crafting with AI and proactive behavior via job meaningfulness. Our study makes both theoretical and practical contributions.

尽管组织内的员工越来越多地与人工智能（AI）互动，但关于员工在新环境中如何与人工智能进行认知塑造的研究却很有限。基于语义制造理论，我们的研究目的是调查员工与人工智能的认知锻造如何以及何时影响他们的主动行为。我们对中国北方一家信息技术服务公司的315名员工进行了多波调查，以检验我们的理论模型。研究结果表明，员工对人工智能的认知塑造与工作意义正相关，而工作意义又与他们的主动行为正相关。此外，组织关怀调节了人工智能认知制作与工作意义之间的正相关关系，以及人工智能认知制作通过工作意义与主动行为之间的间接关系。本文的研究具有理论和实践意义。

引用次数: 0