【刊出新闻】《外国经济与管理》2026年第7期目录
本期共 8 篇文章
人—AI协同
摘要 · ABSTRACT
数字经济背景下，人工智能深度嵌入组织流程，人—AI协同逐渐成为学界和业界共同关注的前沿议题。尽管近年来学术界对人—AI协同的研究兴趣日益浓厚，但现有成果仍较为零散，缺乏系统整合。基于此，本文以220篇人—AI协同的英文文献为研究对象，利用BERTopic主题模型聚合出13个主题，并结合人工编码与层次聚类可视化结果，将研究内容归纳为四个方面，即内涵和构成、前因、结果与边界条件。在此基础上，本文进一步对相关中英文文献进行了系统化梳理，构建了人—AI协同的整合研究框架，并在该框架之上提出了未来研究展望，包括深化人—AI协同的内涵并揭示其构成的动态作用机制、拓展前因并揭示多要素的协同作用、延伸结果维度并跨层次探讨结果的联动机制、推进边界条件研究，以及丰富数据来源、研究方法。本文对人—AI协同研究现有文献进行了系统性归纳与整合，旨在为后续学术探索提供知识基础与研究参考。
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Abstract
In the context of the digital economy, artificial intelligence (AI) is deeply embedded in organizational processes, making human–AI collaboration an emerging issue of growing interest among both scholars and practitioners. However, existing research remains fragmented and lacks systematic integration. To address this gap, this paper analyzes 220 English-language articles on human–AI collaboration. Using the BERTopic topic model, it identifies 13 research topics and, in combination with manual coding and hierarchical clustering visualizations, synthesizes the literature into four major domains: conceptualization and components, antecedents, outcomes, and boundary conditions. Building on this classification, this paper further conducts a systematic review of both English- and Chinese-language studies to develop an integrative research framework for human–AI collaboration. On this basis, it outlines future research directions, including deepening the understanding of human–AI collaboration and elucidating the dynamic mechanisms among its components, extending research on antecedents and revealing the joint effects of multiple elements, broadening outcome dimensions and examining cross-level linkages among outcomes, advancing research on boundary conditions, and enriching data sources and research methods. By systematically organizing and integrating the existing literature, this paper aims to provide a solid knowledge base and useful reference for future research on human–AI collaboration.
人工智能时代的组织领导力机制探索：技术创新与伦理责任悖论视角
摘要 · ABSTRACT
在人工智能技术深度嵌入组织运行与决策过程的背景下，组织领导者正面临数据滥用、算法偏见、责任模糊等新型伦理难题，相关行为规范体系也亟须重构。通过系统梳理并整合相关理论，本文构建了以“主题识别→双重理性→和则-谐则耦合→动态一致性”为核心的领导力机制框架：首先，提出“主题识别”机制，以揭示技术创新与伦理规范冲突中需要优先协调的价值焦点；其次，提出“双重理性”机制，以阐明在人工智能情境下工具理性与价值理性在创新决策中的权衡逻辑及失衡风险；再次，提出“和则-谐则耦合”机制，以揭示围绕上述主题与决策展开的正式制度、技术规则与伦理规范之间的协同与张力结构；最后，构建“动态一致性”循环调节机制，以说明在人工智能技术持续演进中如何通过反馈与调整保持技术创新实践与社会伦理期待之间的持续契合。换言之，本文试图从问题源头上回应人工智能时代技术创新与伦理责任之间的悖论性挑战，进而为中国情境下重构领导行为规范、优化人工智能驱动组织变革路径以及提升组织的适应性、创新性与长期可持续发展提供了新的理论视角与制度安排依据。
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As AI technology becomes deeply embedded in organizational operations and decision-making processes, leaders are increasingly faced with new ethical challenges, such as data misuse, algorithmic bias, and unclear accountability. These challenges highlight the urgent need to restructure the corresponding behavioral norms. By systematically reviewing and integrating relevant theories, this paper constructs a leadership framework based on four core mechanisms: Theme Recognition, Dual Rationality, HeXie Coupling, and Dynamic Consistency. First, the Theme Recognition mechanism identifies the value focus that should take precedence when addressing the conflicts between technological innovation and ethical norms. Second, the Dual Rationality mechanism explains how leaders balance tool rationality and value rationality in innovation decisions within the AI context, and addresses the risks of imbalance. Third, HeXie Coupling reveals the synergy and tension between formal systems, technical rules, and ethical norms surrounding the theme and decisions. Fourth, the Dynamic Consistency mechanism emphasizes how organizations can maintain alignment between technological practices and societal ethical expectations through continuous feedback, learning, and adjustment as AI technology evolves. This paper, in essence, aims to address the paradoxical challenges between technological innovation and ethical responsibility in the AI era, offering new theoretical perspectives and institutional frameworks for reconstructing leadership behavior norms, optimizing AI-driven organizational transformation, and enhancing organizational adaptability, innovation, and long-term sustainability, particularly in the Chinese context.
老年消费者行为：研究述评与展望
摘要 · ABSTRACT
人口老龄化是当代中国转型发展过程中最鲜明的时代特征之一。随着老年人口的迅速增加，其消费行为和决策模式成为学界和业界关注的重要议题。该领域的研究虽然取得了一定的成果，但是既有研究也存在主题分散、重点不突出、领域现状不明等问题，并制约了理论研究的进一步开展。同时，由于我国的人口老龄化具有基数庞大、速度极快、区域发展不平衡的突出特点，既有研究在实践指导方面也力有不逮。鉴于此，本文采用基于领域的框架文献综述方法，对2015—2025年间中国知网和Web of Science核心数据库的相关文献进行知识图谱分析，系统探讨相关领域的研究热点和高频关键词的演变过程，并基于TCM-ADO框架，从“理论（T）-情境（C）-方法（M）”和“前因（A）-决策（D）-结果（O）”维度对老年消费者行为领域的相关研究进行了深入评述与总结。最后，基于中国独特的情境，对该领域未来的研究方向做出展望，以期助力该领域的理论创新和研究拓展，并为构建中国自主知识体系、制定相关政策打下坚实基础。
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Population aging stands as one of the most distinctive features of contemporary China’s transformation and development. With the rapid increase in the elderly population, their consumption behavior and decision-making patterns have become key issues of concern for both academia and industry. Although research in this field has yielded some results, it remains constrained by scattered themes, a lack of focus, and unclear field status, hindering further theoretical development. Additionally, China’s population aging is marked by large size, extremely rapid pace, and uneven regional development, leaving previous research insufficient in practical implications. In view of this, there is an urgent need for a comprehensive and systematic analysis of the field of elderly consumer behavior. This paper adopts a domain-based framework for literature review to conduct a knowledge graph analysis of relevant literature from the CNKI and Web of Science core databases over the period 2015–2025, systematically exploring the evolution of research hotspots and high-frequency keywords in the relevant field. Based on the TCM-ADO framework, it offers an in-depth review and summary of relevant research in the field of elderly consumer behavior from the dimensions of “theory (T) – context (C) – method (M)” and “antecedent (A) – decision (D) – outcome (O)”. Finally, based on the unique context of China, this paper outlines future research directions to advance theoretical innovation and research expansion, and to provide a solid foundation for both the development of China’s independent knowledge system and the formulation of relevant policies.
破茧重生：新质生产力如何重塑困境企业价值创造能力？
摘要 · ABSTRACT
作为现代化经济体系转型升级的关键引擎，新质生产力对于破解企业复苏难题具有重要战略价值。尽管既有研究聚焦企业成长的前置动因，但针对困境企业如何借助新质生产力突破发展桎梏的理论探索仍显不足。本文利用2011—2022年上市公司数据，考察了新质生产力对困境企业价值创造能力的影响。研究发现：新质生产力的培育有助于提升困境企业的价值创造能力，助力困境企业破茧重生；高管研发背景所产生的“能力适配”以及政府补贴所产生的“资源赋能”将强化新质生产力对困境企业价值创造能力的提升效应。进一步研究表明，突破式创新、资源配置效率与扁平化组织变革是新质生产力助力困境企业提升价值创造能力的关键机制。异质性分析显示，新质生产力的价值创造效应在民营企业、高科技行业以及数字化发展水平较高区域的困境企业中更为显著。本文突破传统要素驱动范式，将能力适配与政府激励纳入新质生产力演进分析框架，验证了技术赋能、资源编排与组织变革的核心路径，不仅弥补了企业成长与复苏理论在阐释新质生产力要素作用机制方面的研究不足，也为困境企业在复杂环境下的复苏过程提供新的理论视角。
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As a key engine for the transformation and upgrading of the modern economic system, new quality productive forces (NQPF) hold significant strategic value in addressing the challenges of corporate recovery. Although existing studies have focused on the antecedents of firm growth, theoretical explorations on how distressed firms can break through development constraints by leveraging NQPF remains insufficient. Using data from listed companies from 2011 to 2022, this paper examines the impact of NQPF on the value creation capability of distressed firms. The study finds that the cultivation of NQPF helps enhance the value creation capability of distressed firms and empowers them to realize a transformational rebirth. The “ability match” resulting from executives’ R&D backgrounds and the “resource empowerment” generated by government subsidies enhance the effect of NQPF on the value creation capability of distressed firms. Further research indicates that breakthrough innovation, resource allocation efficiency, and flat organizational transformation are the key mechanisms by which NQPF boosts the value creation capability of distressed firms. Heterogeneity analysis shows that the value creation effect of NQPF is more significant in distressed firms dominated by private capital, operating in high-tech industries, or located in regions with a higher level of digitalization. This paper breaks through the traditional factor-driven paradigm, incorporates ability match and government incentives into the analytical framework for the evolution of NQPF, and verifies the core paths of technology empowerment, resource allocation, and organizational change. It not only addresses the research gap in how firm growth and recovery theories explain the mechanism of NQPF, but also provides a novel theoretical perspective for the recovery process of distressed firms in a complex environment.
技术要素市场化与企业全要素生产率——基于国家技术转移中心设立的视角
摘要 · ABSTRACT
技术要素市场化既是完善市场经济体制的重要内容，也是实现高水平科技自立自强、加快构建新发展格局的重要手段。本文以国家技术转移中心设立作为技术要素市场化的冲击场景，考察技术要素市场化对企业全要素生产率的影响。研究发现，技术要素市场化能够显著提升企业全要素生产率。机制检验发现，上述效应主要通过推动技术溢出、激励企业创新、深化专业化分工得以实现。异质性分析发现，对于获得政府补助较多、隶属高科技行业、所在行业竞争程度较高以及所在地区产品市场发育程度较高的企业，技术要素市场化对企业全要素生产率的促进作用更加明显。本文的研究结论具有重要的理论和实践意义，不仅为技术要素市场化的微观经济效应提供新的见解，也为政府部门推动企业生产效率提升提供经验证据。
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Technological factor marketization is a cornerstone of refining the market economy and a key instrument for achieving high-level tech self-reliance and fostering a new development paradigm. Taking the establishment of National Technology Transfer Centers as a quasi-natural experiment, this paper examines the impact of technological factor marketization on corporate total factor productivity (TFP). The results show that technological factor marketization significantly boosts TFP. Mechanism testing indicates that this effect is mainly achieved through enhanced technology spillovers, increased corporate innovation, and a deeper division of labor. Heterogeneity analysis reveals that the promotion effect is more pronounced for firms with higher government innovation subsidies, those in high-tech and highly competitive industries, and those located in regions with a more mature market for technological outcomes. The findings of this paper not only offer novel insights into the microeconomic consequences of technological factor marketization, but also provide robust empirical evidence to guide policy-making aimed at fostering firm growth.
智能制造对企业绿色双元创新的差异化影响
摘要 · ABSTRACT
基于资源基础观，以2012—2023年中国沪深A股上市公司数据为样本，实证检验智能制造对企业绿色双元创新的差异化影响，并探究绿色投资者和环境规制对该影响的调节作用。研究发现：（1）智能制造能够推动企业绿色双元创新的提升，且相比绿色探索式创新，智能制造对绿色利用式创新的促进作用更为突出。在稳健性检验和内生性检验后，该结论依然成立。（2）绿色投资者对智能制造与绿色双元创新之间的关系起到强化作用，并且更明显地增强了智能制造对绿色利用式创新的影响。相比之下，环境规制则在一定程度上削弱了智能制造对绿色双元创新的促进作用，尽管这种削弱作用在不同维度的创新之间并无明显差异。（3）异质性分析显示，在非高科技行业、大规模企业以及实施智能制造专项试点政策的情境下，智能制造更有助于促进企业的绿色双元创新。本文的研究发现不仅拓展了智能制造与绿色创新关系的研究文献，还为企业管理者通过采用智能制造来促进绿色双元创新提供了重要的管理启示。
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Based on the resource-based view, this paper uses data from China’s A-share listed companies on the Shanghai and Shenzhen stock exchanges from 2012 to 2023 to empirically examine the differential impact of intelligent manufacturing on corporate green ambidextrous innovation, and explores the moderating effects of green investors and environmental regulations on this impact. The results show that: (1) Intelligent manufacturing can significantly enhance corporate green ambidextrous innovation. Compared with its impact on green exploratory innovation, intelligent manufacturing has a greater impact on green exploitative innovation. (2) Green investors positively moderate the relationship between intelligent manufacturing and green ambidextrous innovation, and the moderating effect on the relationship between intelligent manufacturing and green exploitative innovation is stronger. Environmental regulations negatively moderate the relationship between intelligent manufacturing and green ambidextrous innovation, but the difference in the moderating effect is not significant. (3) Heterogeneity analysis reveals that under the conditions of non-high-tech industries, large-scale enterprises, and the implementation of special pilot policies for intelligent manufacturing, the promoting effect of intelligent manufacturing is more significant. The findings not only expand the research on the relationship between intelligent manufacturing and green innovation, but also provide important management implications for enterprise managers to promote green ambidextrous innovation through the adoption of intelligent manufacturing.
场景驱动视角下工业互联网平台如何实现数实融合？——基于浪潮云洲的案例研究
摘要 · ABSTRACT
数字经济与实体经济深度融合（数实融合）成为实现中国经济高质量发展的必经之路。工业互联网平台作为推动数实融合的关键力量，吸引了学界的广泛关注。然而，现有研究尚未对工业互联网平台如何实现数实融合进行深入探讨。本研究基于对浪潮云洲工业互联网平台的单案例研究，从场景驱动视角出发探讨了工业互联网平台实现数实融合的路径。研究发现，工业互联网平台在数实融合过程中面临三类典型场景：数字赋能场景、数字重构场景和数字包容场景。针对不同场景，平台采取不同的网络编排策略实现数实融合：在数字赋能场景中，通过松散式编排实现单映射式融合；在数字重构场景中，依托紧凑式编排实现多映射式融合；在数字包容场景中，通过集成式编排实现全映射式融合。研究通过构建“数实融合场景驱动—网络编排—数实融合成效”的路径模型，揭示了工业互联网平台实现数实融合的机制，为工业互联网平台赋能实体经济高质量发展提供了理论支撑与实践借鉴。
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The deep integration of the digital economy and the real economy (digital-real integration) has become an inevitable path for achieving high-quality economic development in China. Industrial Internet platforms, as an important force driving this integration, have attracted the attention of many scholars. However, existing research has not yet conducted in-depth discussions on how industrial Internet platforms achieve digital-real integration. This paper, based on a single-case study of the Inspur Yunzhou Industrial Internet Platform, explores the paths through which industrial Internet platforms achieve digital-real integration from a scenario-driven perspective. The study finds that industrial Internet platforms face three typical scenarios in the process of digital-real integration: digital empowerment scenario, digital reconstruction scenario, and digital inclusiveness scenario. For different scenarios, platforms adopt different network arrangement strategies to achieve digital-real integration: In the digital empowerment scenario, a loose arrangement is used to achieve single-mapping integration; in the digital reconstruction scenario, a compact arrangement is relied on to achieve multi-mapping integration; in the digital inclusiveness scenario, an integrated arrangement is used to achieve full-mapping integration. This paper constructs a path model of “scenario-driven digital-real integration–network arrangement–effectiveness of digital-real integration”, and reveals the mechanism of industrial Internet platforms achieving digital-real integration, providing theoretical support and practical references for industrial Internet platforms to empower the high-quality development of the real economy.
独角兽企业成长理论：研究述评与展望
摘要 · ABSTRACT
独角兽企业是科技创新企业的重要代表，也是推动高质量发展、开辟新领域新赛道并塑造新动能新优势的新兴引擎。基于国内外文献梳理，独角兽企业成长研究可归纳为五类关键要素与成长阶段框架：五类关键要素包括创业者与团队、技术与商业模式创新、战略与组织协同、资本赋能与金融支持、制度环境与城市创新生态；成长阶段框架用于刻画不同阶段的关键任务、驱动因素侧重与运行特征。结合当前独角兽企业成长理论研究中存在的空白，未来研究可围绕理论体系系统化与本土化构建、企业与城市案例研究、创新生态与国际化战略、创新政策评估、上市独角兽行为演化与治理问题、资本供给与退出机制等方向推进，为中国独角兽企业梯度培育与新质生产力形成提供参考。
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Unicorns are vital representatives of technological innovation enterprises and emerging engines for promoting high-quality development, opening new fields and tracks, and shaping new growth drivers and advantages. Based on a review of domestic and international literature, research on the growth of unicorns can be summarized into five key elements and a growth stage framework. The five key elements include entrepreneurs and teams, technological and business model innovation, strategic and organizational synergy, capital empowerment and financial support, and institutional environments and urban innovation ecosystems. The growth stage framework is utilized to delineate key tasks, shifting focus of driving factors, and operational characteristics across different stages. Addressing the existing gaps in theoretical research on the growth of unicorns, future research can advance in directions encompassing the systematization and localization of theoretical frameworks, the case studies of enterprises and cities, innovation ecosystems and internationalization strategies, the evaluation of innovation policies, the behavioral evolution and governance issues of listed unicorns, as well as capital supply and exit mechanisms. These future directions offer a reference for the gradient cultivation of Chinese unicorns and the formation of new quality productive forces.