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

Is AI-based digital marketing ethical? Assessing a new data privacy paradox 基于人工智能的数字营销是否合乎道德？评估新的数据隐私悖论

IF 15.6 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2024-10-01 DOI: 10.1016/j.jik.2024.100597

Jose Ramon Saura , Vatroslav Škare , Durdana Ozretic Dosen

The rapid development of artificial intelligence (AI) has significantly transformed digital marketing enhancing its effectiveness and raising new ethical and privacy concerns. This study investigates the ethical implications of AI-based digital marketing, particularly focusing on user privacy. In terms of methodology, a systematic literature review (SLR) was conducted to identify relevant variables, followed by Multiple Correspondence Analysis (MCA) using R within the framework of homogeneity analysis of variance using alternating least squares (HOMALS). The MCA analysis identified 3 multivariate groupings, and 21 individual variables extracted from 28 studies. The MCA identified a total of 4 clusters in the eigenvalues/variances analysis, and 5 clusters in the biplot analysis. The findings emphasize the need for a balanced approach that respects user privacy and ethical use of data when developing actions using AI-based digital marketing. However, no significant relationship is evident between the study of variables such as cross-device tracking or data-driven technologies and, the ethics of AI-based digital marketing, despite these being the most profitable actions in this environment. There is no evidence of developing personalized social media content or ads linked to privacy standards. However, a strong connection between behavioral analytics, smart content and metaverse is identified, highlighting the risks of this emerging technology in this research field, as it is not linked to privacy or ethics. Among the results, the strong proximity of real-time tracking, IoT, and surveillance variables underscores the critical need to ethically understand how user behavior in real-time is being monitored, as they do not offer a strong link to privacy or ethics. Additionally, this study provides 21 future research questions that address whether these practices are being ethically implemented, following standards like “privacy-by-default” or “privacy-by-design,” and complying with privacy laws in AI-based digital marketing. To ensure these practices align with ethical standards, it is essential to adopt frameworks prioritizing data dignity, which calls for treating user data as an extension of personal identity, requiring responsible and ethical handling throughout the data collection and processing lifecycle.

人工智能（AI）的迅猛发展极大地改变了数字营销方式，提高了营销效果，同时也引发了新的伦理和隐私问题。本研究探讨了基于人工智能的数字营销的伦理影响，尤其关注用户隐私。在研究方法方面，首先进行了系统的文献综述（SLR）以确定相关变量，然后在使用交替最小二乘法（HOMALS）的同质性方差分析框架内使用 R 进行了多重对应分析（MCA）。多重对应分析确定了 3 个多变量分组，以及从 28 项研究中提取的 21 个单个变量。多变量分析在特征值/方差分析中总共确定了 4 个群组，在双图谱分析中确定了 5 个群组。研究结果强调，在利用人工智能开展数字营销活动时，需要采取一种尊重用户隐私和数据使用道德的平衡方法。然而，跨设备跟踪或数据驱动技术等变量的研究与基于人工智能的数字营销伦理之间没有明显的关系，尽管这些是在这种环境下最有利可图的行为。没有证据表明开发个性化社交媒体内容或广告与隐私标准有关。然而，行为分析、智能内容和元宇宙之间的紧密联系被确定下来，突出了这一新兴技术在这一研究领域的风险，因为它与隐私或道德没有联系。在研究结果中，实时跟踪、物联网和监控变量之间的紧密联系强调了从伦理角度理解用户实时行为如何被监控的迫切需要，因为它们与隐私或伦理没有紧密联系。此外，本研究还提出了 21 个未来研究问题，涉及这些做法是否符合道德规范、是否遵循 "默认隐私 "或 "设计隐私 "等标准，以及在基于人工智能的数字营销中是否遵守隐私法。为确保这些做法符合道德标准，必须采用优先考虑数据尊严的框架，这就要求将用户数据视为个人身份的延伸，要求在整个数据收集和处理生命周期中以负责任和合乎道德的方式处理数据。

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引用次数: 0

Green marketing horizon: Industry sustainability through marketing and innovation 绿色营销视野：通过营销和创新实现行业可持续发展

IF 15.6 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2024-10-01 DOI: 10.1016/j.jik.2024.100606

Gonghang Chen , Aemon Sabir , Muhammad Faisal Rasheed , Lucian Belascu , Chi-Wei Su

The UN Sustainable Development Goals (SDGs) emphasize moving the manufacturing sector towards adopting environmentally friendly practices. Manufacturing industries play a critical role in the economic growth of a country; however, they are also associated with directly affecting the environment. Due to limited resources, shifting towards sustainable practices is difficult. The current study examines the effects of green marketing (GM) practices through eco-innovation (EI) to improve the sustainable performance of Pakistan's manufacturing industries. Furthermore, this study also intends to test the moderating effect of circular economy practices on the direct relationship between green market practices and eco-innovation. Responses from 201 professionals working in manufacturing industries were gathered and subjected to structural equation modeling (SEM) analysis to investigate the direct and indirect relationships between the variables in the conceptual model. The results indicate that the green market and eco-innovation have a noteworthy direct impact on SP. Nevertheless, green marketing practices favorably affect sustainable performance by mediating eco-innovation and the positive moderating role of circular economy practices. The current study is relevant for advising managers and policymakers about the potential advantages of supporting sustainable solutions.

联合国可持续发展目标（SDGs）强调推动制造业采用环保做法。制造业在国家经济增长中发挥着至关重要的作用，但同时也直接影响着环境。由于资源有限，转向可持续发展的做法十分困难。本研究探讨了通过生态创新（EI）实施绿色营销（GM）的效果，以提高巴基斯坦制造业的可持续绩效。此外，本研究还打算检验循环经济实践对绿色市场实践与生态创新之间直接关系的调节作用。本研究收集了 201 名制造业专业人士的答复，并对其进行了结构方程建模（SEM）分析，以研究概念模型中各变量之间的直接和间接关系。结果表明，绿色市场和生态创新对 SP 有显著的直接影响。然而，绿色市场营销实践通过调解生态创新和循环经济实践的积极调节作用，对可持续绩效产生有利影响。当前的研究有助于向管理者和政策制定者提供有关支持可持续解决方案潜在优势的建议。

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引用次数: 0

Metaverse applications and supply chain innovation: insights from text mining 元应用与供应链创新：文本挖掘的启示

IF 15.6 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2024-10-01 DOI: 10.1016/j.jik.2024.100591

Maryam Mahdikhani, Purushottam Meena

This study explored the growing adoption of the Metaverse in the supply chain field, primarily focusing on topics discussed in news media and identifying the benefits of effective implementations. It further investigated whether disparities in these topics exist across various industries. Over 2,000 news articles, published in reputable global newspapers were collected using the LexisNexis online database to examine the applications of the Metaverse in supply chains. The study employed Latent Dirichlet Allocation (LDA) and BERTopic topic-modeling methodologies to identify prevalent topics within these articles. The results show that the BERTopic approach yields more coherent topics than the LDA approach. The most prominent topic identified was "global supply chain growth amplified by digital technologies", highlighting the potential of the Metaverse to enhance financial growth across supply chains. The analysis also revealed that the Metaverse is being utilized across diverse sectors, including manufacturing, warehousing, logistics, retail, media, and mining. This study provided multi-faceted implications, extending beyond academic insights to offer tangible guidance for policymakers and industry leaders on the advantages and challenges of Metaverse implementation. This research contributed a fresh perspective to the existing literature by identifying key topics and successful implementations.

本研究探讨了供应链领域中越来越多地采用 Metaverse 的情况，主要关注新闻媒体讨论的话题，并确定有效实施的好处。研究还进一步探讨了不同行业在这些话题上是否存在差异。使用 LexisNexis 在线数据库收集了 2,000 多篇发表在全球知名报纸上的新闻文章，以研究供应链中的 Metaverse 应用。研究采用了 Latent Dirichlet Allocation (LDA) 和 BERTopic 主题建模方法来识别这些文章中的流行主题。结果表明，与 LDA 方法相比，BERTopic 方法产生的主题更加一致。其中最突出的主题是 "数字技术促进全球供应链增长"，凸显了 Metaverse 在促进供应链金融增长方面的潜力。分析还显示，Metaverse 正在制造业、仓储业、物流业、零售业、媒体和采矿业等多个领域得到应用。这项研究提供了多方面的影响，超越了学术见解，为政策制定者和行业领导者在实施 Metaverse 的优势和挑战方面提供了切实的指导。本研究通过确定关键主题和成功实施，为现有文献提供了全新视角。

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引用次数: 0

What shapes innovative firms’ performance? A multi-level analysis 是什么影响了创新型企业的绩效？多层次分析

IF 15.6 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2024-10-01 DOI: 10.1016/j.jik.2024.100599

Yun-Zhong Wang , Fang-Yi Lo , Kun-Huang Huarng

The industry organization theory in the early stage emphasizes the structure-conduct-performance (SCP) paradigm, indicating that industry characteristics and structure factors influence firm performance. Accompanied by technology development and the enhancement of innovation capabilities, the resource-based theory (RBT) has gradually attracted greater attention. Industry structure and competitive forces emphasize the role of external industrial environment factors in influencing a firm's strategic decision-making. Firms employ resources as their competitive advantage to adapt to the industrial environments and to shape the own performance.

This study uses hierarchical linear modeling (HLM) to integrate SCP and RBT and to analyze the different levels of effects on firm performance. The integrated theoretical framework suggests multi-level relationships between industry and firm dynamics. Specifically, industry-level factors include industry potential, scale, and dynamics that positively moderate firm-level competitive advantages (innovation resources, organizational resources, and slack resources) and firm performance. The research findings also reveal that industry competitiveness negatively moderates impacts on the relationship between firm competitive advantages and performance. The integration of both industry and firm competitive advantages shapes firm performance.

早期的产业组织理论强调结构-行为-绩效（SCP）范式，指出产业特征和结构因素影响企业绩效。伴随着技术的发展和创新能力的提升，基于资源的理论（RBT）逐渐受到更多关注。产业结构和竞争力量强调外部产业环境因素对企业战略决策的影响作用。本研究采用层次线性建模（HLM）的方法，将 SCP 和 RBT 整合在一起，分析不同层次对企业绩效的影响。综合理论框架提出了行业与企业动态之间的多层次关系。具体而言，行业层面的因素包括行业潜力、规模和动态，这些因素对企业层面的竞争优势（创新资源、组织资源和松弛资源）和企业绩效具有正向调节作用。研究结果还显示，行业竞争力对企业竞争优势与绩效之间的关系具有负向调节作用。行业竞争优势和企业竞争优势的整合塑造了企业绩效。

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引用次数: 0

Does metaverse improve recommendations quality and customer trust? A user-centric evaluation framework based on the cognitive-affective-behavioural theory 元网络能否提高推荐质量和客户信任度？基于认知-情感-行为理论的以用户为中心的评估框架

IF 15.6 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2024-10-01 DOI: 10.1016/j.jik.2024.100569

Rabab Ali Abumalloh , Mehrbakhsh Nilashi , Osama Halabi , Raian Ali

Recommendation agents (RAs) have proven to be effective decision-making tools for customers, as they can boost trust and loyalty when customers shop online. They can analyse large amounts of data using machine learning algorithms and predictive analytics capabilities to provide highly relevant recommendations to users. In previous studies, several approaches have been implemented to refine and assess the effectiveness of these agents. As a new form of virtual reality universe, metaverses can be seen as a new venue for improvements in the performance of online RAs. By exploiting the capabilities of the metaverse and incorporating data about the user's behaviour and preferences, the performance of these systems can be enhanced in terms of the accuracy, diversity, and novelty of the generated recommendations. The metaverse can provide visually appealing and interactive recommendations, and there are several potential factors that can affect the customer's experience. The cognitive-affective-behavioural theory is used to develop the proposed research model. This study investigates the impact of the capabilities of the metaverse on three quality factors of RAs: diversity, accuracy, and novelty. The influence of the quality of the recommendations on affective trust and the influence of affective trust on customer loyalty are also examined. In addition, as this is an emerging technology, perceived privacy plays a crucial role in maintaining users' trust and confidence. Hence, the moderating influence of perceived privacy on the relationship between the quality and affective trust of RAs is examined. The moderating impact of product knowledge on the relationship between the individual perception of trust and loyalty is investigated. Data were acquired from 288 Malaysian respondents and analysed using the PLS-SEM method. The findings of this study show that the capabilities of the metaverse have favorable impacts on several quality factors of the recommender system, including accuracy, diversity, and novelty. Furthermore, these quality factors impact the perceived quality of RAs, which in turn impacts customer trust and loyalty. Perceived privacy acts as a moderator on the relationship between the quality of recommendations and the individual's perception of trust.

事实证明，推荐代理（RA）是客户有效的决策工具，因为它们可以提高客户在线购物时的信任度和忠诚度。它们可以利用机器学习算法和预测分析功能分析大量数据，为用户提供高度相关的推荐。在以往的研究中，已经采用了多种方法来完善和评估这些代理的有效性。作为虚拟现实世界的一种新形式，元verses 可被视为提高在线注册代理性能的新途径。通过利用元宇宙的功能并结合用户的行为和偏好数据，这些系统可以在生成推荐的准确性、多样性和新颖性方面提高性能。元宇宙可以提供具有视觉吸引力和互动性的推荐，有几个潜在因素会影响客户的体验。认知-情感-行为理论被用来建立拟议的研究模型。本研究探讨了元宇宙的功能对推荐信息的三个质量因素（多样性、准确性和新颖性）的影响。本研究还探讨了推荐质量对情感信任的影响以及情感信任对客户忠诚度的影响。此外，由于这是一项新兴技术，感知隐私在维护用户的信任和信心方面起着至关重要的作用。因此，研究了感知隐私对注册中心质量和情感信任之间关系的调节作用。研究还探讨了产品知识对个人信任感和忠诚度之间关系的调节作用。数据来自 288 名马来西亚受访者，并使用 PLS-SEM 方法进行了分析。研究结果表明，元宇宙的能力对推荐系统的几个质量因素（包括准确性、多样性和新颖性）具有有利影响。此外，这些质量因素还影响着用户对推荐系统的感知质量，进而影响客户的信任度和忠诚度。感知隐私是推荐质量与个人信任感之间关系的调节因素。

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引用次数: 0

Determinants of pro-environmental innovative behaviour: A comparison of three generations 环保创新行为的决定因素：三代人的比较

IF 15.6 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2024-10-01 DOI: 10.1016/j.jik.2024.100613

Małgorzata Baran , Barbara Sypniewska

The undeniable mutual relationship between the environment and the individual begins with the onset of human life. This human–environment relationship imposes, on every generation, the task of leaving behind a clean and sustainable environment. This study aims to investigate the determinants of pro-environmental innovative behaviours in a generational context. The study's findings provide valuable insights into the complex interplay of environmental awareness, creativity, risk-taking propensity, proactive coping and pro-environmental innovative behaviours of three generations (X, Y, Z). The results reveal substantial generational differences in the correlations between determinants such as environmental awareness, risk-taking, creativity and proactive coping. This implies that a tailored approach to encouraging innovative behaviours and environmental awareness may be required for each generation.

环境与个人之间不可否认的相互关系始于人类生命的开始。这种人类与环境的关系使每一代人都肩负着留下一个清洁和可持续环境的任务。本研究旨在调查代际背景下环保创新行为的决定因素。研究结果对三代人（X、Y、Z）的环境意识、创造力、冒险倾向、积极应对和亲环境创新行为之间复杂的相互作用提供了有价值的见解。研究结果表明，环境意识、冒险倾向、创造力和积极应对等决定因素之间的相关性存在巨大的代际差异。这意味着，可能需要为每一代人量身定制鼓励创新行为和环境意识的方法。

引用次数: 0

Moderating role of national culture on the association between organizational culture and organizational commitment among SME's personnel 民族文化对中小企业员工组织文化与组织承诺之间关系的调节作用

IF 15.6 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2024-10-01 DOI: 10.1016/j.jik.2024.100623

Syed Asad Abbas Bokhari , Murad Ali , Muhammad Zafar Yaqub , Mohammad Asif Salam , Sang Young Park

This study investigated the moderating effect of collectivism as a national culture on the interaction between organizational culture (measured in terms of clan, adhocracy, market, and hierarchy cultures) and commitment in the context of SMEs. A total of 1200 questionnaire surveys were delivered to 155 SMEs, of which 356 were deemed valid. The hypotheses were tested using a hierarchical multiple regression analysis. According to the findings of the study, a significantly positive relationship between organizational culture and commitment was discovered, and collectivism, as a national culture, moderates this relationship significantly. This study offers several recommendations for future research in this field. SMEs should prioritize the development of a better culture to generate a higher level of organizational commitment. Future scholars could use additional organizational contextual components as mediating or moderating variables to explore the association between organizational culture and commitment.

本研究以中小企业为背景，探讨了作为民族文化的集体主义对组织文化（以宗族文化、专制文化、市场文化和等级文化为衡量标准）与承诺之间相互作用的调节作用。共向 155 家中小企业发放了 1200 份问卷调查，其中 356 份被认为有效。使用分层多元回归分析法对假设进行了检验。研究结果表明，组织文化与承诺之间存在显著的正相关关系，而集体主义作为一种民族文化，在很大程度上调节了这种关系。本研究为这一领域的未来研究提出了若干建议。中小企业应优先发展更好的文化，以产生更高水平的组织承诺。未来的学者可以使用更多的组织环境因素作为中介变量或调节变量来探讨组织文化与承诺之间的关系。

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引用次数: 0

How artificial intelligence-induced job insecurity shapes knowledge dynamics: the mitigating role of artificial intelligence self-efficacy 人工智能引发的工作不安全感如何影响知识动力：人工智能自我效能的缓解作用

IF 15.6 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2024-10-01 DOI: 10.1016/j.jik.2024.100590

Byung-Jik Kim , Min-Jik Kim

This research examines the intricate relationships between artificial intelligence (AI)-induced job insecurity, psychological safety, knowledge-hiding behavior, and self-efficacy in AI learning within organizational contexts. As AI technologies increasingly permeate the workplace, comprehending their impact on employee behavior and organizational dynamics becomes crucial. Based on several theories, we use a time-lagged research design to propose and test a moderated mediation model. We collected data from 402 employees across various industries in South Korea at three different time points. Our findings reveal that AI-induced job insecurity positively relates to knowledge-hiding behavior, directly and indirectly, via reduced psychological safety. Moreover, we discover that self-efficacy in AI learning moderates the relationship between AI-induced job insecurity and psychological safety, such that high self-efficacy buffers the harmful influence of job insecurity on psychological safety. These results enhance the existing literature on organizational technological change by clarifying the psychological processes through which AI implementation influences employee behavior. Our study highlights the critical role of psychological safety as a mediator and self-efficacy as a moderator in this process. These insights present significant implications for managers and organizations navigating the challenges of AI integration. They emphasize the need for strategies that foster psychological safety and enhance members’ confidence in their ability to adapt to AI technologies. Our research underscores the significance of considering both the technical and human aspects of AI implementation within organizational contexts.

本研究探讨了人工智能（AI）引发的工作不安全感、心理安全感、知识隐藏行为和组织环境中人工智能学习的自我效能感之间错综复杂的关系。随着人工智能技术日益渗透到工作场所，理解其对员工行为和组织动态的影响变得至关重要。基于多个理论，我们采用时滞研究设计，提出并测试了一个调节中介模型。我们收集了韩国不同行业 402 名员工在三个不同时间点的数据。我们的研究结果表明，人工智能引发的工作不安全感通过降低心理安全感直接或间接地与知识隐藏行为正相关。此外，我们还发现，人工智能学习中的自我效能会调节人工智能引发的工作不安全感与心理安全之间的关系，例如，高自我效能会缓冲工作不安全感对心理安全的有害影响。这些结果澄清了人工智能实施对员工行为产生影响的心理过程，从而加强了现有关于组织技术变革的文献。我们的研究强调了心理安全感在这一过程中作为中介和自我效能感作为调节的关键作用。这些见解对管理者和组织应对人工智能整合的挑战具有重要意义。它们强调，需要制定战略来促进心理安全，并增强成员对自身适应人工智能技术能力的信心。我们的研究强调了在组织环境中同时考虑人工智能实施的技术和人文方面的重要性。

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引用次数: 0

Restaurant resilience: A qualitative study of resilience, adaptability, and innovation of the Alabama restaurant industry during the COVID-19 pandemic 餐饮业的复原力：关于 COVID-19 大流行期间阿拉巴马州餐饮业复原力、适应力和创新力的定性研究

IF 15.6 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2024-10-01 DOI: 10.1016/j.jik.2024.100583

Mark Traynor, Emmanuella Owens, Sorcha O'Neill, Imran Rahman

The COVID-19 pandemic had a profound impact on the restaurant industry in Alabama. This qualitative study examines how Alabama restaurants demonstrated resilience and adaptability across three distinct phases of the pandemic, including the period of unrestricted activities, offering a new perspective. The findings highlight significant operational, financial, and labor-related difficulties faced during these phases. Key strategies include operational adjustments, technology integration, and strategic financial management. The study underscores the critical role of technology in maintaining customer connections and adapting service models during disruptions. It introduces a conceptual model that offers valuable contingency plans for operational innovation and resilience, helping restaurants manage crises effectively. Additionally, the research emphasizes the crucial role of government financial support in the survival and recovery of restaurants during the pandemic. The study enriches the existing literature by providing insights into the post-recovery impact of COVID-19 on the restaurant sector.

COVID-19 大流行对阿拉巴马州的餐饮业产生了深远影响。本定性研究探讨了阿拉巴马州的餐饮业如何在大流行病的三个不同阶段（包括活动不受限制的时期）表现出应变能力和适应能力，为我们提供了一个新的视角。研究结果强调了这些阶段所面临的重大运营、财务和劳动力相关困难。关键策略包括业务调整、技术整合和战略性财务管理。研究强调了技术在中断期间保持客户联系和调整服务模式方面的关键作用。研究引入了一个概念模型，为运营创新和恢复能力提供了有价值的应急计划，帮助餐厅有效管理危机。此外，研究还强调了政府财政支持在大流行病期间对餐馆生存和恢复的关键作用。本研究通过深入分析 COVID-19 对餐饮业恢复后的影响，丰富了现有文献。

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引用次数: 0

Green entrepreneurial intention, knowledge management process, and green entrepreneurial behaviour through a lens of transformative innovation 从变革性创新的角度看绿色创业意向、知识管理过程和绿色创业行为

IF 15.6 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2024-10-01 DOI: 10.1016/j.jik.2024.100567

Yanhui Wang , Qin Wang , Xuen Pan , Mário Nuno Mata

Entrepreneurship accelerates a country's economy due to its great contribution to community welfare. In the context of sustainability, green entrepreneurial behaviour is beneficial, since it reduces environmental causalities. Small businesses, however, are seen as culprits, causing damage to the environment. Rapid changes in business dynamics emphasize the need for sustainable entrepreneurship which ensures environmental and social sustainability. This study extends current body of knowledge by introducing transformative innovation as a mediator in light of the normative dimension in which entrepreneurs are actors responsible for bringing change to systems through collective behaviour. In a sample of Chinese manufacturing entrepreneurs, the study reveals that the knowledge management process and green entrepreneurial intention are positively linked to green entrepreneurial behaviour. It also shows that transformative innovation is positively related to green entrepreneurial behaviour. Finally, it confirms that transformative innovation is a significant mediator. The study provides guidance for policymakers establishing policies related to achieving green entrepreneurial behaviour using effective knowledge management processes and transformative innovation.

由于创业对社会福利的巨大贡献，它能加速国家经济的发展。在可持续发展的背景下，绿色创业行为是有益的，因为它减少了对环境的影响。然而，小企业被视为对环境造成破坏的罪魁祸首。商业动态的快速变化强调了可持续创业的必要性，它能确保环境和社会的可持续发展。本研究从规范维度出发，引入变革性创新作为中介，从而扩展了现有的知识体系。本研究以中国制造业企业家为样本，揭示了知识管理过程和绿色创业意向与绿色创业行为之间的正相关关系。研究还表明，变革型创新与绿色创业行为呈正相关。最后，研究证实，变革性创新是一个重要的中介因素。本研究为政策制定者提供了指导，帮助他们制定相关政策，利用有效的知识管理流程和转型创新来实现绿色创业行为。

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引用次数: 0