Journal of Innovation & Knowledge最新文献_第4页

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 : 2026-01-15 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。

{"title":"Consumer intentions to purchase wines with Blockchain and quick-response code tracking: Insights from an extended stimulus–organism–response model","authors":"Ángel Peiró-Signes , Nino Adamashvili , Magdaléna Tupá , Antonino Galati","doi":"10.1016/j.jik.2026.100944","DOIUrl":"10.1016/j.jik.2026.100944","url":null,"abstract":"<div><div>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 (<em>N</em> = 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.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"13 ","pages":"Article 100944"},"PeriodicalIF":15.5,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integrating knowledge and innovation through ambidextrous leadership: dual pathways to business circularity 通过灵巧的领导整合知识和创新：实现商业循环的双重途径

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-01-10 DOI: 10.1016/j.jik.2025.100935

Noor Ul Hadi

This study explores how ambidextrous leadership integrates organizational knowledge and innovation to promote business circularity, focusing on the parallel mediating mechanisms of circular exploitative and circular explorative activities. Specifically, drawing on the resource-based view and the dynamic capabilities framework, it investigates how leadership mobilizes existing knowledge for operational efficiency (exploitation) and generates new knowledge for long-term innovation (exploration) to support circular economy (CE) business model adoption. Data were collected in two waves from 292 owners and managers of marble manufacturing firms. Using SmartPLS v4.1.1.5, the measurement and structural models were estimated utilizing CB-SEM and bootstrapped parallel mediation. Necessary condition analysis (NCA) was further performed to explore the sufficiency and necessity of the parallelism of the two mediating mechanisms. The results indicate that ambidextrous leadership significantly affects business circularity, with circular exploitation and circular exploration fully and significantly mediating this effect. Meanwhile, circular exploration emerges as the stronger pathway. NCA demonstrates that both activities are necessary conditions for achieving higher business circularity. The findings extend circular ambidexterity theory and reinforce the complementary nature of exploitative and explorative practices in sustainability transitions. Practically, the study highlights that leaders in resource-intensive industries need to cultivate both process-driven efficiency and innovation-led transformation to support the transition toward CE business models.

本研究探讨了双灵巧领导如何整合组织知识和创新来促进企业循环，重点研究了循环利用和循环探索活动的平行中介机制。具体而言，利用资源基础观点和动态能力框架，研究领导力如何调动现有知识以提高运营效率（开发），并为长期创新（探索）产生新知识，以支持循环经济（CE）商业模式的采用。数据分两批从292名大理石制造公司的业主和经理中收集。使用SmartPLS v4.1.1.5，利用CB-SEM和bootstrap并行中介对测量模型和结构模型进行估计。必要条件分析（NCA）进一步探讨了两种中介机制并行性的充分性和必要性。结果表明，双灵巧型领导显著影响企业循环度，循环开发和循环探索充分且显著地中介了这种影响。同时，循环探索作为更强的路径出现。NCA表明，这两项活动都是实现更高业务循环的必要条件。研究结果扩展了循环双重性理论，并加强了可持续性转型中剥削和探索实践的互补性。实际上，该研究强调，资源密集型行业的领导者需要培养流程驱动的效率和创新驱动的转型，以支持向CE商业模式的过渡。

{"title":"Integrating knowledge and innovation through ambidextrous leadership: dual pathways to business circularity","authors":"Noor Ul Hadi","doi":"10.1016/j.jik.2025.100935","DOIUrl":"10.1016/j.jik.2025.100935","url":null,"abstract":"<div><div>This study explores how ambidextrous leadership integrates organizational knowledge and innovation to promote business circularity, focusing on the parallel mediating mechanisms of circular exploitative and circular explorative activities. Specifically, drawing on the resource-based view and the dynamic capabilities framework, it investigates how leadership mobilizes existing knowledge for operational efficiency (exploitation) and generates new knowledge for long-term innovation (exploration) to support circular economy (CE) business model adoption. Data were collected in two waves from 292 owners and managers of marble manufacturing firms. Using SmartPLS v4.1.1.5, the measurement and structural models were estimated utilizing CB-SEM and bootstrapped parallel mediation. Necessary condition analysis (NCA) was further performed to explore the sufficiency and necessity of the parallelism of the two mediating mechanisms. The results indicate that ambidextrous leadership significantly affects business circularity, with circular exploitation and circular exploration fully and significantly mediating this effect. Meanwhile, circular exploration emerges as the stronger pathway. NCA demonstrates that both activities are necessary conditions for achieving higher business circularity. The findings extend circular ambidexterity theory and reinforce the complementary nature of exploitative and explorative practices in sustainability transitions. Practically, the study highlights that leaders in resource-intensive industries need to cultivate both process-driven efficiency and innovation-led transformation to support the transition toward CE business models.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"13 ","pages":"Article 100935"},"PeriodicalIF":15.5,"publicationDate":"2026-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145956631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An innovative customer-centric approach to enhancing the competitiveness of tourism destinations 以创新的顾客为中心，提升旅游目的地的竞争力

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-01-08 DOI: 10.1016/j.jik.2025.100922

Ștefan Cătălin POPA, Ana Alexandra OLARIU, Corina-Elena MIRCIOIU

The tourism sector has grown considerably thanks to digitalization, which facilitates planning and enables businesses and potential customers to connect more efficiently. This study analyzes the need for investment in Romanian tourism infrastructure and evaluates industry performance using data from 466 respondents who completed an online questionnaire about tourism attributes and outcomes based on their recent experiences. Through the triangulation method—including a content analysis, an analysis based on partial least squares structural equation modeling, and a combined importance–performance map analysis and necessary conditions analysis—this research identifies key elements of the tourism framework, the relationships established between them, and the priorities that require increased managerial attention to enhance customer-perceived performance. The study contributes to the scientific field by offering a novel customer-centric perspective on defining tourism infrastructure and provides practical insights for industry stakeholders to identify tourists’ needs and implement targeted strategies.

数字化促进了规划，使企业和潜在客户更有效地联系起来，旅游业因此得到了长足发展。这项研究分析了罗马尼亚旅游基础设施的投资需求，并利用466名受访者的数据评估了行业绩效，这些受访者根据他们最近的经历完成了一份关于旅游属性和结果的在线问卷。通过三角测量方法——包括内容分析、基于偏最小二乘结构方程模型的分析、综合重要性-绩效图分析和必要条件分析——本研究确定了旅游框架的关键要素、它们之间建立的关系，以及需要增加管理关注以提高客户感知绩效的优先事项。该研究为旅游基础设施的定义提供了一个全新的以客户为中心的视角，并为行业利益相关者提供了实际的见解，以确定游客的需求并实施有针对性的战略，从而为科学领域做出了贡献。

{"title":"An innovative customer-centric approach to enhancing the competitiveness of tourism destinations","authors":"Ștefan Cătălin POPA, Ana Alexandra OLARIU, Corina-Elena MIRCIOIU","doi":"10.1016/j.jik.2025.100922","DOIUrl":"10.1016/j.jik.2025.100922","url":null,"abstract":"<div><div>The tourism sector has grown considerably thanks to digitalization, which facilitates planning and enables businesses and potential customers to connect more efficiently. This study analyzes the need for investment in Romanian tourism infrastructure and evaluates industry performance using data from 466 respondents who completed an online questionnaire about tourism attributes and outcomes based on their recent experiences. Through the triangulation method—including a content analysis, an analysis based on partial least squares structural equation modeling, and a combined importance–performance map analysis and necessary conditions analysis—this research identifies key elements of the tourism framework, the relationships established between them, and the priorities that require increased managerial attention to enhance customer-perceived performance. The study contributes to the scientific field by offering a novel customer-centric perspective on defining tourism infrastructure and provides practical insights for industry stakeholders to identify tourists’ needs and implement targeted strategies.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"13 ","pages":"Article 100922"},"PeriodicalIF":15.5,"publicationDate":"2026-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145927182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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 : 2026-01-07 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。

{"title":"Environmental, organizational, and individual determinants of AI adoption: A multilevel knowledge and analysis","authors":"Flávio Tiago , António Almeida","doi":"10.1016/j.jik.2025.100934","DOIUrl":"10.1016/j.jik.2025.100934","url":null,"abstract":"<div><div>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 <strong>C</strong>ountry-<strong>H</strong>uman resources-<strong>A</strong>doption/technological-<strong>IN</strong>dividual <strong>AI</strong> 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.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"13 ","pages":"Article 100934"},"PeriodicalIF":15.5,"publicationDate":"2026-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145927113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Technology or innovation alone is not enough: A SEM-fsQCA based study on intelligent automation driven supply chain resilience 单靠技术或创新是不够的：基于SEM-fsQCA的智能自动化驱动供应链弹性研究

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-01-07 DOI: 10.1016/j.jik.2025.100930

Mobashar Mubarik, Saule Maciukaite-Zviniene

In an era marked by increasing disruption and digital transformation, this study explores how Intelligent Automation (IA) contributes to Supply Chain Resilience (SCR), with particular attention to the mediating roles of Integrability and Visibility. Despite growing interest in digital supply chain capabilities, limited empirical evidence exists on how advanced technologies such as artificial intelligence, machine learning, and robotic process automation translate into resilience, especially in the context of emerging economies. Grounded in the Technology-Organization-Environment (TOE) framework, the study employs a mixed-method approach by integrating Partial Least Squares Structural Equation Modeling (PLS-SEM) and fuzzy-set Qualitative Comparative Analysis (fsQCA). Data were collected from 312 manufacturing firms in Lithuania, representing a digitally transforming economy with unique structural and institutional conditions. The PLS-SEM results confirm that IA significantly enhances SCR, primarily through the mediating effect of Integrability. While IA also improves supply chain visibility, the mediating role of Visibility in the IA-SCR relationship is not supported, suggesting that transparency alone is insufficient to enable resilience. Complementing these findings, the fsQCA results reveal that multiple configurations can lead to high resilience. The combination of IA and Integrability consistently emerged as a sufficient pathway, regardless of the presence or absence of Visibility. Moreover, firms without advanced IA capabilities but with strong integration and visibility were also able to achieve resilient outcomes, offering viable alternatives for resource-constrained environments. These insights underscore that resilience is not driven by technology adoption alone, but by the strategic configuration and alignment of digital capabilities. This study contributes to the literature by integrating variance-based and configurational perspectives, offering a more nuanced and context-sensitive understanding of digital transformation outcomes. It challenges the assumption that visibility is inherently sufficient for resilience and highlights the importance of integrability as a foundational enabler. The findings hold theoretical and practical value for building resilient, adaptive supply chains in emerging economy settings.

在一个以不断增加的颠覆性和数字化转型为标志的时代，本研究探讨了智能自动化（IA）如何促进供应链弹性（SCR），特别关注可集成性和可见性的中介作用。尽管人们对数字供应链能力的兴趣日益浓厚，但关于人工智能、机器学习和机器人过程自动化等先进技术如何转化为弹性的实证证据有限，尤其是在新兴经济体的背景下。本研究以技术-组织-环境（TOE）框架为基础，采用偏最小二乘结构方程建模（PLS-SEM）和模糊集定性比较分析（fsQCA）相结合的混合方法。数据来自立陶宛的312家制造企业，代表了具有独特结构和制度条件的数字化转型经济。PLS-SEM结果证实，IA显著提高了SCR，主要是通过可积性的中介作用。虽然IA也提高了供应链可见性，但不支持可见性在IA- scr关系中的中介作用，这表明仅靠透明度不足以实现弹性。与这些发现相辅相成的是，fsQCA的结果表明，多种配置可以导致高弹性。无论是否存在可见性，IA和可积性的结合始终是一个充分的途径。此外，没有先进的内部信息管理能力，但具有强大集成和可见性的公司也能够取得有弹性的结果，为资源受限的环境提供可行的替代方案。这些见解强调了弹性不仅仅是由技术采用驱动的，而是由数字能力的战略配置和对齐驱动的。本研究通过整合基于方差和配置的视角，对数字化转型结果提供了更细致和上下文敏感的理解，从而为文献做出了贡献。它挑战了可见性本身就足以满足弹性的假设，并强调了可集成性作为基础推动者的重要性。这些发现对于在新兴经济体环境中建立有弹性、适应性强的供应链具有理论和实践价值。

{"title":"Technology or innovation alone is not enough: A SEM-fsQCA based study on intelligent automation driven supply chain resilience","authors":"Mobashar Mubarik, Saule Maciukaite-Zviniene","doi":"10.1016/j.jik.2025.100930","DOIUrl":"10.1016/j.jik.2025.100930","url":null,"abstract":"<div><div>In an era marked by increasing disruption and digital transformation, this study explores how Intelligent Automation (IA) contributes to Supply Chain Resilience (SCR), with particular attention to the mediating roles of Integrability and Visibility. Despite growing interest in digital supply chain capabilities, limited empirical evidence exists on how advanced technologies such as artificial intelligence, machine learning, and robotic process automation translate into resilience, especially in the context of emerging economies. Grounded in the Technology-Organization-Environment (TOE) framework, the study employs a mixed-method approach by integrating Partial Least Squares Structural Equation Modeling (PLS-SEM) and fuzzy-set Qualitative Comparative Analysis (fsQCA). Data were collected from 312 manufacturing firms in Lithuania, representing a digitally transforming economy with unique structural and institutional conditions. The PLS-SEM results confirm that IA significantly enhances SCR, primarily through the mediating effect of Integrability. While IA also improves supply chain visibility, the mediating role of Visibility in the IA-SCR relationship is not supported, suggesting that transparency alone is insufficient to enable resilience. Complementing these findings, the fsQCA results reveal that multiple configurations can lead to high resilience. The combination of IA and Integrability consistently emerged as a sufficient pathway, regardless of the presence or absence of Visibility. Moreover, firms without advanced IA capabilities but with strong integration and visibility were also able to achieve resilient outcomes, offering viable alternatives for resource-constrained environments. These insights underscore that resilience is not driven by technology adoption alone, but by the strategic configuration and alignment of digital capabilities. This study contributes to the literature by integrating variance-based and configurational perspectives, offering a more nuanced and context-sensitive understanding of digital transformation outcomes. It challenges the assumption that visibility is inherently sufficient for resilience and highlights the importance of integrability as a foundational enabler. The findings hold theoretical and practical value for building resilient, adaptive supply chains in emerging economy settings.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"13 ","pages":"Article 100930"},"PeriodicalIF":15.5,"publicationDate":"2026-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145927112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Market orientation and green innovation: Empirical evidence from double machine learning 市场导向与绿色创新：来自双机器学习的经验证据

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-01-07 DOI: 10.1016/j.jik.2025.100933

Yanqing Guo , Chang Zhao , Ming Pang , Di He

Amid the growing global emphasis on sustainable development, green innovation has attracted significant scholarly and practical attention in recent years. However, existing studies have largely emphasised external institutional and policy drivers, leaving a limited understanding of how internal strategic orientations endogenously foster green innovation. Grounded in dynamic capabilities theory, this study examines whether market orientation serves as an internal strategic driver of green innovation. Analysing panel data on Chinese A-share listed firms from 2012 to 2024, we apply a double machine learning framework to estimate the effects of the two core components of market orientation (customer orientation and competitor orientation) on green innovation. We find that both components significantly promote green innovation, with these findings remaining robust across several rigorous tests. Furthermore, government green subsidies positively moderate the relationships of market orientation dimensions with green innovation. Additional heterogeneity analysis indicates that these relationships are particularly pronounced in non-state-owned and high-tech firms. Overall, this study extends the green innovation literature by foregrounding internal strategic orientations and advances methodological practice in this field by applying double machine learning. It offers valuable implications for future research on green innovation and for policymakers and managers committed to promoting sustainable development.

近年来，随着全球对可持续发展的日益重视，绿色创新引起了学术界和实践界的广泛关注。然而，现有的研究大多强调外部制度和政策驱动因素，对内部战略导向如何内生地促进绿色创新的理解有限。本研究以动态能力理论为基础，探讨市场导向是否为绿色创新的内在战略驱动力。通过对2012 - 2024年中国a股上市公司面板数据的分析，我们采用双机器学习框架来估计市场导向的两个核心组成部分（客户导向和竞争对手导向）对绿色创新的影响。我们发现，这两个组成部分都显著促进了绿色创新，这些发现在几个严格的测试中仍然是稳健的。政府绿色补贴正向调节市场导向维度与绿色创新的关系。另外的异质性分析表明，这些关系在非国有企业和高科技企业中尤为明显。总体而言，本研究通过突出内部战略导向扩展了绿色创新文献，并通过应用双机器学习推进了该领域的方法论实践。它为未来的绿色创新研究以及致力于促进可持续发展的决策者和管理者提供了宝贵的启示。

{"title":"Market orientation and green innovation: Empirical evidence from double machine learning","authors":"Yanqing Guo , Chang Zhao , Ming Pang , Di He","doi":"10.1016/j.jik.2025.100933","DOIUrl":"10.1016/j.jik.2025.100933","url":null,"abstract":"<div><div>Amid the growing global emphasis on sustainable development, green innovation has attracted significant scholarly and practical attention in recent years. However, existing studies have largely emphasised external institutional and policy drivers, leaving a limited understanding of how internal strategic orientations endogenously foster green innovation. Grounded in dynamic capabilities theory, this study examines whether market orientation serves as an internal strategic driver of green innovation. Analysing panel data on Chinese A-share listed firms from 2012 to 2024, we apply a double machine learning framework to estimate the effects of the two core components of market orientation (customer orientation and competitor orientation) on green innovation. We find that both components significantly promote green innovation, with these findings remaining robust across several rigorous tests. Furthermore, government green subsidies positively moderate the relationships of market orientation dimensions with green innovation. Additional heterogeneity analysis indicates that these relationships are particularly pronounced in non-state-owned and high-tech firms. Overall, this study extends the green innovation literature by foregrounding internal strategic orientations and advances methodological practice in this field by applying double machine learning. It offers valuable implications for future research on green innovation and for policymakers and managers committed to promoting sustainable development.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"13 ","pages":"Article 100933"},"PeriodicalIF":15.5,"publicationDate":"2026-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145927109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An AI-enabled micro-level analysis of organizational and technological paths to green upgrading 基于人工智能的绿色升级组织和技术路径微观分析

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-01-07 DOI: 10.1016/j.jik.2026.100936

Lelai Shi , Hong Lin , Qiuhang Chen

With global warming and escalating environmental pollution, governments worldwide have committed to promoting traditional manufacturing industries’ green transformation and upgrading. What role does artificial intelligence (AI) have in this effort? Herein, we construct a micro-level theoretical model to analyze how AI affects firms’ green transformation, adopting a two-way fixed effects (TWFE) model to examine panel data from Chinese A-share listed traditional manufacturing enterprises from 2011 to 2022 for empirical analyses. The results reveal that AI significantly promotes enterprises’ green transformation efficiency (GTI). Mechanism analyses demonstrate that AI promotes corporate organizational innovation, including adjusting organizational and employee structures and promotes technological innovation by accelerating technical progress and reducing energy intensity. Heterogeneity analysis of enterprises’ internal management and external environment shows that AI can effectively improve firms’ GTI when executives have technological backgrounds, engage in long-term decision-making, and the region has strong intellectual property rights protection, high environmental regulation intensity, and an elevated degree of social trust. Overall, this study elucidates the influence and conditions of AI in the traditional manufacturing industry’s green transformation and upgrading and has significant the implications for relevant policy development.

随着全球气候变暖和环境污染加剧，世界各国政府都致力于推动传统制造业的绿色转型升级。人工智能（AI）在这一努力中扮演什么角色？本文构建了人工智能对企业绿色转型影响的微观理论模型，采用双向固定效应（TWFE）模型对2011 - 2022年中国a股上市传统制造业企业面板数据进行实证分析。结果表明，人工智能显著提升了企业的绿色转型效率（GTI）。机制分析表明，人工智能促进企业组织创新，包括调整组织结构和员工结构，并通过加速技术进步和降低能源强度来促进技术创新。企业内部管理与外部环境的异质性分析表明，当高管具有技术背景、参与长期决策、区域知识产权保护力度强、环境监管强度高、社会信任度高时，人工智能可以有效提高企业GTI。总体而言，本研究阐明了人工智能对传统制造业绿色转型升级的影响和条件，对相关政策制定具有重要意义。

{"title":"An AI-enabled micro-level analysis of organizational and technological paths to green upgrading","authors":"Lelai Shi , Hong Lin , Qiuhang Chen","doi":"10.1016/j.jik.2026.100936","DOIUrl":"10.1016/j.jik.2026.100936","url":null,"abstract":"<div><div>With global warming and escalating environmental pollution, governments worldwide have committed to promoting traditional manufacturing industries’ green transformation and upgrading. What role does artificial intelligence (AI) have in this effort? Herein, we construct a micro-level theoretical model to analyze how AI affects firms’ green transformation, adopting a two-way fixed effects (TWFE) model to examine panel data from Chinese A-share listed traditional manufacturing enterprises from 2011 to 2022 for empirical analyses. The results reveal that AI significantly promotes enterprises’ green transformation efficiency (GTI). Mechanism analyses demonstrate that AI promotes corporate organizational innovation, including adjusting organizational and employee structures and promotes technological innovation by accelerating technical progress and reducing energy intensity. Heterogeneity analysis of enterprises’ internal management and external environment shows that AI can effectively improve firms’ GTI when executives have technological backgrounds, engage in long-term decision-making, and the region has strong intellectual property rights protection, high environmental regulation intensity, and an elevated degree of social trust. Overall, this study elucidates the influence and conditions of AI in the traditional manufacturing industry’s green transformation and upgrading and has significant the implications for relevant policy development.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"13 ","pages":"Article 100936"},"PeriodicalIF":15.5,"publicationDate":"2026-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145927185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Review and comparison of the current and desired status of the organization's infrastructure for implementing knowledge management strategies 审查和比较组织实施知识管理策略的基础设施的当前和期望状态

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-01-03 DOI: 10.1016/j.jik.2025.100923

Reza Rostamzadeh , Taher Najari , Dalia Streimikienė , Hero Isavi

Revised: Given the increasing emphasis on knowledge management (KM) in academic circles and the growing body of research literature in this field, the researcher conducted a meta-analysis using the Scopus database. The review focused on data extracted between 1996 and 2024 and included functional, graphical, and content analyses. An initial search of Scopus retrieved 2495 scientific documents. The researcher then filtered the results using the database tools for publication year, document type, Scopus classification, and language. After preprocessing, 175 scientific documents remained for inclusion in the meta-synthesis. The researcher performed data visualization and analysis in RStudio, VOSviewer, and MAXQDA software. The main contributions of this research are as follows: (1) identifying the most influential authors, countries, journals, universities, and articles within the field; (2) mapping the dimensions of the field and identifying keyword gaps through content analysis; and (3) conducting thematic analysis and pinpointing central components.

鉴于学术界对知识管理（knowledge management， KM）的重视程度越来越高，且该领域的研究文献越来越多，研究者使用Scopus数据库进行meta分析。该综述集中于1996年至2024年间提取的数据，包括功能、图形和内容分析。Scopus的初步检索检索到2495篇科学文献。然后，研究人员使用数据库工具根据出版年份、文档类型、Scopus分类和语言筛选结果。经预处理后，175份科学文献仍可纳入元综合。研究人员在RStudio、VOSviewer和MAXQDA软件中进行数据可视化和分析。本研究的主要贡献如下：(1)确定了该领域内最具影响力的作者、国家、期刊、大学和文章；(2)通过内容分析映射领域维度，识别关键词差距；(3)进行专题分析，找出核心成分。

{"title":"Review and comparison of the current and desired status of the organization's infrastructure for implementing knowledge management strategies","authors":"Reza Rostamzadeh , Taher Najari , Dalia Streimikienė , Hero Isavi","doi":"10.1016/j.jik.2025.100923","DOIUrl":"10.1016/j.jik.2025.100923","url":null,"abstract":"<div><div>Revised: Given the increasing emphasis on knowledge management (KM) in academic circles and the growing body of research literature in this field, the researcher conducted a meta-analysis using the Scopus database. The review focused on data extracted between 1996 and 2024 and included functional, graphical, and content analyses. An initial search of Scopus retrieved 2495 scientific documents. The researcher then filtered the results using the database tools for publication year, document type, Scopus classification, and language. After preprocessing, 175 scientific documents remained for inclusion in the meta-synthesis. The researcher performed data visualization and analysis in RStudio, VOSviewer, and MAXQDA software. The main contributions of this research are as follows: (1) identifying the most influential authors, countries, journals, universities, and articles within the field; (2) mapping the dimensions of the field and identifying keyword gaps through content analysis; and (3) conducting thematic analysis and pinpointing central components.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"13 ","pages":"Article 100923"},"PeriodicalIF":15.5,"publicationDate":"2026-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145893711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

AI capacity in the public sector: Pathways from the environmental context to an organizational impact 公共部门的人工智能能力：从环境背景到组织影响的途径

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-01-03 DOI: 10.1016/j.jik.2025.100931

Truc Thanh Phan , Phuong Van Nguyen , Vincenzo Corvello , Thao Thi Phuong Pham

Artificial intelligence (AI) is reshaping the operation of public organizations, yet many still struggle to harness its full potential amid institutional complexity and digital transitioning. Characteristically different from the private sector, the public sector requires the development and testing of specific models. However, most studies on the impact of AI have focused primarily on the private sector, leaving public organizations largely underinvestigated. This study examines how public sector agencies develop AI capacity and how this contributes to performance through key internal mechanisms, including organizational creativity and AI management. Using the resource-based view as a guiding framework, a structural model was developed to capture the effects of government mandates, citizen expectations, regulatory clarity, and public incentives on AI capacity and its organizational outcomes. Survey data from 225 senior managers employed in Vietnamese public organizations were analyzed using partial least squares–structural equation modeling. The findings illustrate that environmental context plays a crucial role in enhancing AI capacity, which, in turn, impacts both creativity and performance. However, AI management is not yet consistently translated into AI-driven decision-making, suggesting that public organizations are still in the early stages of embedding AI into their strategic processes. The study demonstrates that the performance benefits of AI are contingent on a comprehensive approach. Further, these gains are a function of not only technology but also key complementary factors, such as cultural readiness, managerial alignment, and institutional support. The study provides practical recommendations for leaders in emerging economies, outlining ways to strengthen governance and address complex challenges via more effective integration of AI into organizational operations.

人工智能（AI）正在重塑公共组织的运作，但在制度复杂性和数字化转型的背景下，许多公共组织仍难以充分发挥其潜力。公共部门与私营部门的特点不同，它需要开发和试验具体的模式。然而，大多数关于人工智能影响的研究主要集中在私营部门，而对公共组织的调查基本上不足。本研究考察了公共部门机构如何发展人工智能能力，以及这如何通过关键的内部机制（包括组织创造力和人工智能管理）促进绩效。以资源基础观点为指导框架，开发了一个结构模型，以捕捉政府授权、公民期望、监管清晰度和公共激励对人工智能能力及其组织结果的影响。采用偏最小二乘结构方程模型对225名越南公共组织高级管理人员的调查数据进行了分析。研究结果表明，环境背景在提高人工智能能力方面起着至关重要的作用，而人工智能能力反过来又会影响创造力和表现。然而，人工智能管理尚未始终转化为人工智能驱动的决策，这表明公共组织仍处于将人工智能嵌入其战略流程的早期阶段。研究表明，人工智能的性能优势取决于一种全面的方法。此外，这些收益不仅是技术的功能，而且是关键互补因素的功能，例如文化准备、管理一致性和机构支持。该研究为新兴经济体的领导人提供了实用建议，概述了通过更有效地将人工智能整合到组织运营中来加强治理和应对复杂挑战的方法。

{"title":"AI capacity in the public sector: Pathways from the environmental context to an organizational impact","authors":"Truc Thanh Phan , Phuong Van Nguyen , Vincenzo Corvello , Thao Thi Phuong Pham","doi":"10.1016/j.jik.2025.100931","DOIUrl":"10.1016/j.jik.2025.100931","url":null,"abstract":"<div><div>Artificial intelligence (AI) is reshaping the operation of public organizations, yet many still struggle to harness its full potential amid institutional complexity and digital transitioning. Characteristically different from the private sector, the public sector requires the development and testing of specific models. However, most studies on the impact of AI have focused primarily on the private sector, leaving public organizations largely underinvestigated. This study examines how public sector agencies develop AI capacity and how this contributes to performance through key internal mechanisms, including organizational creativity and AI management. Using the resource-based view as a guiding framework, a structural model was developed to capture the effects of government mandates, citizen expectations, regulatory clarity, and public incentives on AI capacity and its organizational outcomes. Survey data from 225 senior managers employed in Vietnamese public organizations were analyzed using partial least squares–structural equation modeling. The findings illustrate that environmental context plays a crucial role in enhancing AI capacity, which, in turn, impacts both creativity and performance. However, AI management is not yet consistently translated into AI-driven decision-making, suggesting that public organizations are still in the early stages of embedding AI into their strategic processes. The study demonstrates that the performance benefits of AI are contingent on a comprehensive approach. Further, these gains are a function of not only technology but also key complementary factors, such as cultural readiness, managerial alignment, and institutional support. The study provides practical recommendations for leaders in emerging economies, outlining ways to strengthen governance and address complex challenges via more effective integration of AI into organizational operations.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"13 ","pages":"Article 100931"},"PeriodicalIF":15.5,"publicationDate":"2026-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-01-03 DOI: 10.1016/j.jik.2025.100921

Astrid Jaime , Mariutsi Alexandra Osorio-Sanabria , Deysi Yohana Bernal Torres

Industry 4.0 (I4.0) and Industry 5.0 (I5.0) represent milestones in global industrial development, signaling changes in the design, management, and optimization of production processes. These two industrial paradigms have also reshaped the labor market, productivity, and competitiveness. Despite their revolutionary potential, they have caused confusion among scholars, professionals, and members of society. This study seeks to reduce this confusion. Based on a systematic literature review, the study examines the similarities and differences between I4.0 and I5.0. Bibliometric data were gathered from the Scopus database for the period 2019 to 2023. The review reveals similarities and differences between I4.0 and I5.0 in terms of their technological, human, productive, and environmental dimensions. These dimensions are the bases for proposing a model for transitioning from I4.0 to I5.0, which, in addition to the dimensions identified, includes the challenges, enablers, and critical success factors. The model could serve for establishing the bases for a holistic strategy for those interested in this transition. The findings offer a structured introduction to the topic and provide value for research and practice in academia and business contexts.

工业4.0 （I4.0）和工业5.0 （I5.0）代表了全球工业发展的里程碑，标志着生产过程设计、管理和优化方面的变化。这两种产业模式也重塑了劳动力市场、生产力和竞争力。尽管它们具有革命性的潜力，但它们在学者、专业人士和社会成员中引起了混乱。这项研究试图减少这种困惑。在系统文献综述的基础上，本研究考察了I4.0和I5.0之间的异同。文献计量数据从Scopus数据库中收集，时间为2019年至2023年。这篇综述揭示了工业4.0和工业5.0在技术、人力、生产和环境方面的异同。这些维度是提出从I4.0过渡到I5.0的模型的基础，除了确定的维度之外，还包括挑战、推动因素和关键的成功因素。这一模式可以为那些对这一过渡感兴趣的人建立一个全面战略的基础。研究结果为该主题提供了一个结构化的介绍，并为学术界和商业环境中的研究和实践提供了价值。

{"title":"Similarities and differences between Industry 4.0 and Industry 5.0: Towards a transitioning model","authors":"Astrid Jaime , Mariutsi Alexandra Osorio-Sanabria , Deysi Yohana Bernal Torres","doi":"10.1016/j.jik.2025.100921","DOIUrl":"10.1016/j.jik.2025.100921","url":null,"abstract":"<div><div>Industry 4.0 (I4.0) and Industry 5.0 (I5.0) represent milestones in global industrial development, signaling changes in the design, management, and optimization of production processes. These two industrial paradigms have also reshaped the labor market, productivity, and competitiveness. Despite their revolutionary potential, they have caused confusion among scholars, professionals, and members of society. This study seeks to reduce this confusion. Based on a systematic literature review, the study examines the similarities and differences between I4.0 and I5.0. Bibliometric data were gathered from the Scopus database for the period 2019 to 2023. The review reveals similarities and differences between I4.0 and I5.0 in terms of their technological, human, productive, and environmental dimensions. These dimensions are the bases for proposing a model for transitioning from I4.0 to I5.0, which, in addition to the dimensions identified, includes the challenges, enablers, and critical success factors. The model could serve for establishing the bases for a holistic strategy for those interested in this transition. The findings offer a structured introduction to the topic and provide value for research and practice in academia and business contexts.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"13 ","pages":"Article 100921"},"PeriodicalIF":15.5,"publicationDate":"2026-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0