Journal of Open Innovation: Technology, Market, and Complexity最新文献_第5页

Integrating technological capability and information exchange through adopting advanced technology in food processing: A model-based study of Bangladesh 通过采用先进的食品加工技术来整合技术能力和信息交流：孟加拉国基于模型的研究

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-10-25 DOI: 10.1016/j.joitmc.2025.100674

Choudhury Abul Anam Rashed, Tushy Tasnim, Md. Mehedi Hasan Shakib, Mst. Nasima Bagum, Md. Ariful Islam

The research aims to ascertain the current status of technology adoption and to develop and validate a new conceptual framework. The developed model links information sharing and technological capabilities with the adoption of advanced know-how, where adoption acts as a mediating variable to link its effect on organization-wide performance and business growth. The research also highlights the major challenges in adopting I4.0 technologies faced by food processing factories. To validate the developed model, questionnaire based multiple case studies were conducted, and structural equation modeling (SEM), using SmartPLS 4.0 was employed, supported by reliability and validity tests. Additionally, SmartISM was used to analyze barriers to adoption. Twenty five factories were approached, and sixteen of them responded. Four hypotheses were generated based on the linkage of the model and tested. Findings reveal that approximately 74 % of the studied factories are still at the startup to intermediate stage. The results of the construct reliability and validity, i.e., rho_c, average variance extracted, and discriminant values for all constructs are within the recommended range. Technological capabilities (as R square is 0.389, p value is 0.049, and path coefficient is 0.372) and information sharing (R² value 0.389, p value is 0.009, and path coefficient is 0.463) positively influence the adoption of 4IR technology, which ultimately impacts organizational performance and business growth. The most significant challenge to adopting advanced know-how is the lack of sufficient capital, as it has maximum driving power and the lowest dependence power. The study provides policymakers with actionable insights to accelerate I4.0 technology adoption and overcome the associated barriers.

该研究旨在确定技术采用的现状，并开发和验证一个新的概念框架。所开发的模型将信息共享和技术能力与先进技术的采用联系起来，其中采用充当中介变量，将其对组织范围绩效和业务增长的影响联系起来。该研究还强调了食品加工厂在采用工业4.0技术方面面临的主要挑战。为了验证所建立的模型，进行了基于问卷调查的多案例研究，并使用SmartPLS 4.0进行结构方程建模（SEM），并进行了信度和效度检验。此外，SmartISM还用于分析采用的障碍。我们联系了25家工厂，其中16家做出了回应。基于模型的联动产生了四个假设并进行了检验。调查结果显示，大约74% %的被研究工厂仍处于启动到中间阶段。构念的信度和效度（即rho_c、提取的平均方差和判别值）均在推荐范围内。技术能力（R平方为0.389，p值为0.049，路径系数为0.372）和信息共享（R2值为0.389，p值为0.009，路径系数为0.463）正向影响4IR技术的采用，最终影响组织绩效和业务增长。引进先进技术的最大挑战是缺乏足够的资金，因为它具有最大的驱动力和最低的依赖性。该研究为政策制定者提供了可操作的见解，以加速工业4.0技术的采用并克服相关障碍。

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引用次数: 0

The effects of green orientation and technological agility on sustainable competitive advantage under environmental uncertainty: Organizational agility as a pathway 环境不确定性下绿色导向和技术敏捷性对可持续竞争优势的影响——以组织敏捷性为途径

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-10-25 DOI: 10.1016/j.joitmc.2025.100675

Sahilali Saiyed , Vimal Kumar , Abdul Waaje , Adi Prasetyo Tedjakusuma

Despite the strengthened efforts on sustainability and technological activities by firms, the existing literature lacks a clear picture regarding how green orientation (GO) and technological agility (TAG) can be transformed into sustainable competitive advantage (SCA) and at what time the conversion process may be most efficient. This paper conceptualizes organizational agility (OGA) based on the resource-based view (RBV) and dynamic capabilities theory (DCT) and hypothesizes that GO and TAG indirectly affect SCA with the mediating impact of environmental uncertainty (ELU). A moderated-mediation model was tested based on a sample of 200 managers (HR, marketing, accounting/finance, quality control, R&D) of auto-parts manufacturers in industrial clusters in Gujarat, India, and measured with PLS-SEM. The findings indicate that GO and TAG have positive effects on OGA and SCA and that OGA plays a significant mediation role in the association of GO and SCA, as well as TAG and SCA. Nevertheless, the conditional indirect hypothesis effects of ELU were not significant and indicated that the routinized agility could shield the firms against the legitimacy turbulence in the process of transforming the sustainability intent and technological responsiveness into competitive results. The research makes a contribution to theory by explaining how the effects of orientations make sense when beneficial and defining a condition of what might be termed a limit in which the capability effects are enhanced. On the managerial front, it emphasizes the aspects of co-investment of GO and TAG along with the institutionalization of agility routines to achieve sustainability-driven competitiveness in dynamic markets.

尽管企业加强了对可持续性和技术活动的努力，但现有文献缺乏关于绿色取向（GO）和技术敏捷性（TAG）如何转化为可持续竞争优势（SCA）以及何时转化过程最有效的清晰图景。本文基于资源基础理论（RBV）和动态能力理论（DCT）对组织敏捷性（OGA）进行了概念化，并假设GO和TAG通过环境不确定性（ELU）的中介作用间接影响SCA。本文以印度古吉拉特邦汽车零部件产业集群的200名管理人员（人力资源、市场营销、会计/财务、质量控制、研发）为样本，对一个有调节的中介模型进行了检验，并用PLS-SEM进行了测量。研究结果表明，氧化石墨烯和TAG对氧化石墨烯和SCA均有正向影响，而OGA在氧化石墨烯和SCA、TAG和SCA的关联中起着显著的中介作用。然而，ELU的条件间接假设效应并不显著，表明常规敏捷性可以保护企业在将可持续性意图和技术响应性转化为竞争结果的过程中免受合法性动荡的影响。该研究对理论做出了贡献，它解释了定向效应在有益的情况下是如何产生意义的，并定义了一种可能被称为能力效应增强的极限条件。在管理方面，它强调GO和TAG的共同投资以及敏捷程序的制度化，以在动态市场中实现可持续驱动的竞争力。

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引用次数: 0

The paradox of responsible Jugaad innovation: Implications for Indian multinational corporations 负责任小聪明创新的悖论：对印度跨国公司的启示

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-10-24 DOI: 10.1016/j.joitmc.2025.100672

Subramaniam Ananthram , Christopher Chan

Jugaad, a form of frugal innovation from India, has both positive and negative attributes and effects, creating a paradox. While studies have mainly focused on the positive attributes of jugaad, including improvement in the lives of bottom of the pyramid (BOP) populations, adopting a more balanced approach to jugaad, given its several negative attributes (e.g., unsafe solutions, corruption, and illegality), is critical. Utilizing paradox theory, we empirically assess qualitative data from eight Indian multinational corporations (MNCs). Our findings highlight the paradox of jugaad, which challenges MNCs to find a balanced approach. This balance can be achieved through factors that promote responsible practices, policies, and strategies, aligned with the principles of responsible innovation, such as anticipation, reflexivity, inclusion, and responsiveness. We propose a theoretical model of responsible jugaad within this framework and our findings extend the academic discourse on paradox theory and responsible jugaad with implications for practitioners.

Jugaad是印度的一种节约型创新，它既有积极的一面，也有消极的一面，形成了一种悖论。虽然研究主要集中在jugaad的积极属性，包括改善金字塔底层人口的生活，但考虑到jugaad的一些消极属性（例如，不安全的解决方案、腐败和非法），采取更平衡的方法至关重要。本文运用悖论理论对8家印度跨国公司的定性数据进行了实证评估。我们的研究结果突出了“兼而有之”的悖论，它要求跨国公司找到一种平衡的方法。这种平衡可以通过促进负责任的实践、政策和战略的因素来实现，这些因素与负责任的创新原则相一致，如预期、反思、包容和响应。我们在这个框架内提出了一个负责任的小把戏的理论模型，我们的研究结果扩展了关于悖论理论和负责任小把戏的学术论述，并对实践者产生了影响。

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引用次数: 0

Post-IPO underpricing prediction: A case study of Thai capital market ipo后股价偏低预测：以泰国资本市场为例

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-10-22 DOI: 10.1016/j.joitmc.2025.100671

Pornpawee Supsermpol , Van Nam Huynh , Thus Karnjanapatchara , Navee Chiadamrong

This study develops a machine learning-based model to predict Initial Public Offerings (IPO) underpricing in the Thai capital market by integrating firm-specific variables, market indicators, macroeconomic factors, and aspect-based sentiment factors derived from IPO filings. Using Light Gradient Boosting Machine (LightGBM) as the primary model, the research leverages both structured quantitative data and unstructured qualitative text to capture a wide array of underpricing determinants. Aspect-based sentiment features are extracted from issuer disclosures using a pre-trained domain-specific Thai-language model, and their validity is further evaluated against GPT-4.1. The results demonstrate that incorporating sentiment-based predictors improves model performance, with LightGBM outperforming benchmark models across all evaluation metrics. The findings reveal that market momentum, firm size, book value, and thematic sentiment—particularly in human capital and product narratives—are significant contributors to underpricing. The presence of certain narrative cues may also signal strategic orientation, including openness to innovation, which could shape investor expectations. These findings offer both methodological and empirical contributions, highlighting the utility of combining machine learning with financial text analysis for improved predictive accuracy and interpretability in emerging markets.

本研究开发了一个基于机器学习的模型，通过整合公司特定变量、市场指标、宏观经济因素和来自IPO文件的基于方面的情绪因素，来预测泰国资本市场的首次公开募股（IPO）定价过低。该研究使用光梯度增强机（LightGBM）作为主要模型，利用结构化定量数据和非结构化定性文本来捕获大量定价不足的决定因素。基于方面的情感特征使用预先训练的特定领域的泰语模型从发行人披露中提取，并根据GPT-4.1进一步评估其有效性。结果表明，结合基于情绪的预测因子可以提高模型的性能，LightGBM在所有评估指标上都优于基准模型。研究结果显示，市场势头、公司规模、账面价值和主题情绪——尤其是人力资本和产品叙述——是造成定价过低的重要因素。某些叙事线索的存在也可能预示着战略方向，包括对创新的开放，这可能会影响投资者的预期。这些发现提供了方法和经验上的贡献，突出了将机器学习与金融文本分析相结合的效用，以提高新兴市场的预测准确性和可解释性。

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引用次数: 0

Determinants of E-commerce adoption and its effect on marketing performance among Vietnamese SMEs: An PLS-SEM approach using the TOE framework 越南中小企业采用电子商务的决定因素及其对营销绩效的影响：使用TOE框架的PLS-SEM方法

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-10-20 DOI: 10.1016/j.joitmc.2025.100670

Nguyen Thi Phuong Giang, Thai Dong Tan, Le Thi Hong Nhung

This study explores the key factors influencing the adoption of e-commerce by businesses. The objective is to gain a comprehensive understanding of how technological, organizational, and environmental factors affect intention to adopt e-commerce decisions and their impact on the digital transformation process. The research is based on the TOE framework, integrated with TAM, TPB, and UTAUT, to address the empirical gap in intention to adopt e-commerce among Vietnamese SMEs. It also incorporates the role of artificial intelligence (AI) integration and the often-overlooked perspective of consumer behavior and online experience. A quantitative survey of 391 SME businesses (following a pilot survey with 30 enterprises) was conducted to obtain a comprehensive perspective on intention to adopt e-commerce. Data were analyzed using SmartPLS 4 software following the Structural Equation Modeling (SEM) approach. The results indicate that perceived relative advantage (β = 0.217, p < 0.001), Perceived Cost Acceptability (β = 0.204), and Perceived Ease of use (β = 0.180) are the strongest predictors of intention to adopt e-commerce among businesses. AI integration (β = 0.051, p < 0.05), Human Resource (β = 0.101), and Perceived Security (β = 0.123) also have significant impacts. Additionally, intention to adopt e-commerce significantly improves the marketing performance (β = 0.383, p < 0.001). The study contributes to both academia and practice by proposing an integrated model that enhances understanding of intention to adopt e-commerce among SMEs. Theoretically, it extends the TOE framework by integrating AI and resource-based views. Practically, the research offers solutions to enhance digital capabilities for SMEs and proposes improvements in policies, infrastructure, and trust-building mechanisms for e-commerce in emerging markets.

本研究探讨了影响企业采用电子商务的关键因素。目标是全面了解技术、组织和环境因素如何影响采用电子商务决策的意图及其对数字化转型过程的影响。该研究基于TOE框架，结合TAM、TPB和UTAUT，以解决越南中小企业采用电子商务意愿的经验差距。它还结合了人工智能（AI）集成的作用，以及经常被忽视的消费者行为和在线体验的观点。我们对391间中小企进行了定量调查（之前曾对30间企业进行试点调查），以全面了解采用电子贸易的意向。根据结构方程建模（SEM）方法，使用SmartPLS 4软件对数据进行分析。结果表明，感知相对优势（β = 0.217, p <； 0.001）、感知成本可接受性（β = 0.204）和感知易用性（β = 0.180）是企业采用电子商务意愿的最强预测因子。人工智能整合（β = 0.051, p <； 0.05）、人力资源（β = 0.101）和感知安全（β = 0.123）也有显著影响。此外，采用电子商务的意愿显著提高了营销绩效（β = 0.383, p <； 0.001）。该研究提出了一个综合模型，提高了对中小企业采用电子商务意愿的理解，对学术界和实践都有贡献。理论上，它通过集成AI和基于资源的视图来扩展TOE框架。实际上，该研究提供了提高中小企业数字化能力的解决方案，并提出了改善新兴市场电子商务政策、基础设施和信任建立机制的建议。

{"title":"Determinants of E-commerce adoption and its effect on marketing performance among Vietnamese SMEs: An PLS-SEM approach using the TOE framework","authors":"Nguyen Thi Phuong Giang, Thai Dong Tan, Le Thi Hong Nhung","doi":"10.1016/j.joitmc.2025.100670","DOIUrl":"10.1016/j.joitmc.2025.100670","url":null,"abstract":"<div><div>This study explores the key factors influencing the adoption of e-commerce by businesses. The objective is to gain a comprehensive understanding of how technological, organizational, and environmental factors affect intention to adopt e-commerce decisions and their impact on the digital transformation process. The research is based on the TOE framework, integrated with TAM, TPB, and UTAUT, to address the empirical gap in intention to adopt e-commerce among Vietnamese SMEs. It also incorporates the role of artificial intelligence (AI) integration and the often-overlooked perspective of consumer behavior and online experience. A quantitative survey of 391 SME businesses (following a pilot survey with 30 enterprises) was conducted to obtain a comprehensive perspective on intention to adopt e-commerce. Data were analyzed using SmartPLS 4 software following the Structural Equation Modeling (SEM) approach. The results indicate that perceived relative advantage (β = 0.217, p < 0.001), Perceived Cost Acceptability (β = 0.204), and Perceived Ease of use (β = 0.180) are the strongest predictors of intention to adopt e-commerce among businesses. AI integration (β = 0.051, p < 0.05), Human Resource (β = 0.101), and Perceived Security (β = 0.123) also have significant impacts. Additionally, intention to adopt e-commerce significantly improves the marketing performance (β = 0.383, p < 0.001). The study contributes to both academia and practice by proposing an integrated model that enhances understanding of intention to adopt e-commerce among SMEs. Theoretically, it extends the TOE framework by integrating AI and resource-based views. Practically, the research offers solutions to enhance digital capabilities for SMEs and proposes improvements in policies, infrastructure, and trust-building mechanisms for e-commerce in emerging markets.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 4","pages":"Article 100670"},"PeriodicalIF":0.0,"publicationDate":"2025-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145363427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The nexus between socioemotional wealth, entrepreneurial bricolage, and family-owned SME’s international performance, firm type as moderator, analysis through multi-group 社会情感财富、创业拼凑与家族中小企业国际绩效的关系，企业类型作为调节因子，多群体分析

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-10-20 DOI: 10.1016/j.joitmc.2025.100668

Rizwan Ullah Khan , Uzma Javed , Munir A. Abbasi

Family-owned SMEs play a vital role in emerging economies but often struggle to internationalize due to limited resources, emotional attachment to legacy, and governance constraints. While socioemotional wealth (SEW) significantly influences strategic decision-making, its role in shaping international performance (IP) remains underexplored. This study examines how SEW impacts IP through entrepreneurial bricolage (EB), with generational stage serving as a moderating factor, in the context of Pakistani family-owned Small and Medium Enterprises (SMEs). This focus is important because EB provides a mechanism for transforming family-centred emotional priorities into international competitiveness, addressing the strategic tensions family SMEs face in global growth. Drawing on the SEW theory, this research proposes and tests a conceptual model that examines the partially mediating role of EB and the moderating influence of generational stage (founder, second, and third generations). Using data collected from 312 manufacturing family firms registered with the Pakistan Manufacturing & Export Association (PMEA), analysed through Smart PLS and multi-group analysis (MGA), the findings reveal that earlier-generation founders tend to prioritise ownership and identity over profitability, while later generations leverage established social and business capital to enhance IP. The results offer valuable insights not only in strengthening governance structures in family firms, but also in seeking to enhance them. By highlighting generational differences in entrepreneurial behavior and performance orientation, this study contributes to the broader discourse on innovation and sustainability in family business ecosystems worldwide.

家族中小企业在新兴经济体中发挥着至关重要的作用，但由于资源有限、对传统的情感依恋以及治理约束，它们往往难以实现国际化。虽然社会情感财富（SEW）显著影响战略决策，但其在塑造国际绩效（IP）方面的作用仍未得到充分探讨。本研究考察了在巴基斯坦家族中小企业（SMEs）背景下，SEW如何通过创业拼凑（EB）影响知识产权，代际阶段是一个调节因素。这种关注很重要，因为EB提供了一种机制，将以家庭为中心的情感优先事项转化为国际竞争力，解决家庭中小企业在全球增长中面临的战略紧张局势。根据SEW理论，本研究提出并检验了一个概念模型，该模型检验了EB的部分中介作用和代际阶段（创始人，第二代和第三代）的调节作用。通过Smart PLS和多集团分析（MGA）对在巴基斯坦制造业出口协会（PMEA）注册的312家制造业家族企业收集的数据进行分析，结果显示，较早一代的创始人倾向于优先考虑所有权和身份，而不是盈利能力，而后代人则利用已建立的社会和商业资本来增强知识产权。研究结果不仅为加强家族企业的治理结构提供了宝贵的见解，也为寻求加强家族企业的治理结构提供了宝贵的见解。通过强调创业行为和绩效取向的代际差异，本研究有助于在全球范围内对家族企业生态系统的创新和可持续性进行更广泛的讨论。

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引用次数: 0

Method for assessing organizational readiness to innovate in clothing and textile industry: Insights towards circular economy 评估服装和纺织行业组织创新准备的方法：对循环经济的见解

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-10-15 DOI: 10.1016/j.joitmc.2025.100665

Mikus Dubickis , Romans Putans , Zane Hovlanne

Within the all-encompassing approach towards the circular economy, the clothing and textile industry is also undergoing a significant transformation towards sustainability. Central to this transformation is the adoption of innovative practices. A thorough understanding of the key factors driving innovation adoption is needed. This research aims to identify and analyse the critical factors influencing innovation within the clothing and textile industry, focusing on integrating circular economy principles. The authors aim to design a method for assessing organizational readiness to innovate. The research question is: What are the critical factors driving innovation within the clothing and textile industry, specifically within the circular economy? The research methods include a systematic literature review, an online survey, correlation analysis, an analytic hierarchy process survey, and factor grouping. The findings reveal 21 crucial factors in 7 functional groups influencing various types of innovation: research and development, both in-house research and external research services, as the most important group of factors; knowledge acquisition from external sources such as investors, other companies and industries; conferences/exhibitions; higher education and research institutions; managerial intentions and communication; strategy and innovation culture; employee education, training and attitudes; and company parameters such as location and workers’ salaries. Each factor has a particular calculated importance level of weight; therefore, business managers can focus on solving the most relevant factors in conditions of limited resources. The research's originality and valuable practical implications are the designed organization’s readiness assessment method, which has real-world application as a complementary, practical management tool in the circular economy context.

在全面推进循环经济的同时，服装和纺织行业也在经历着向可持续发展的重大转变。这种转变的核心是采用创新实践。我们需要彻底了解推动创新采用的关键因素。本研究旨在识别和分析影响服装和纺织行业创新的关键因素，重点是整合循环经济原则。作者旨在设计一种评估组织创新准备程度的方法。研究的问题是：推动服装和纺织行业创新的关键因素是什么，特别是在循环经济中？研究方法包括系统文献法、在线调查法、相关分析法、层次分析法、因子分组法等。研究结果揭示了7个功能组中21个影响各类创新的关键因素：研发（包括内部研究和外部研究服务）是最重要的因素组；从投资者、其他公司和行业等外部来源获取知识；会议/展览;高等教育和研究机构；管理意图与沟通；战略与创新文化；员工的教育、培训和态度；以及公司参数，如地点和工人工资。每个因素都有一个特定的计算出的重要性水平；因此，在资源有限的情况下，企业管理者可以集中精力解决最相关的因素。该研究的独创性和有价值的现实意义在于，设计的组织准备程度评估方法作为一种补充的、实用的管理工具在循环经济背景下具有现实应用价值。

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引用次数: 0

Prompts for planning-AI integration: LLM prompt design for supporting sustainable urban development 规划-人工智能融合提示：支持城市可持续发展的LLM提示设计

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-10-14 DOI: 10.1016/j.joitmc.2025.100666

Ke Liu , Tan Yigitcanlar , Will Browne , Yanjie Fu

Large Language Models (LLMs), such as ChatGPT, are increasingly integrated into urban planning workflows to support tasks ranging from policy drafting to participatory engagement. Prompt engineering—the systematic design of instructions that guide LLM behaviour—has emerged as a critical factor determining the quality, relevance, and reliability of AI-generated outputs in planning applications. However, limited understanding of how prompts are constructed and adapted for planning contexts constrains the effectiveness, transparency, and reproducibility of these applications. This systematic review examines peer-reviewed studies to investigate prompt engineering applications in urban planning and adjacent domains. The study identifies seven standardised component categories and eight key prompting techniques, revealing distinctive typological patterns in prompt template structures. Based on these insights, the paper proposes a novel three-layer framework—task adaptation, component configuration, and enhancement—that supports the development of task-specific, modular prompts with high adaptability across diverse planning scenarios. This framework addresses current limitations static design and underdeveloped interaction mechanisms, enabling more context-aware and accountable LLM applications. In doing so, it supports the integration of AI into sustainable urban development by enabling more context-aware, accountable, and strategy-aligned applications of LLMs in planning workflows. By transforming ad-hoc prompting into structured methodology, this study provides foundations for reliable, transparent AI deployment in urban planning and establishes systematic design principles supporting sustainable urban development through effective human-AI collaboration.

大型语言模型（llm），如ChatGPT，越来越多地集成到城市规划工作流程中，以支持从政策起草到参与性参与等任务。提示工程——指导法学硕士行为的指令的系统设计——已经成为决定人工智能生成的规划应用输出的质量、相关性和可靠性的关键因素。然而，对如何构造提示并根据规划上下文调整提示的理解有限，限制了这些应用程序的有效性、透明度和可再现性。本系统综述考察了同行评议的研究，以调查在城市规划和邻近领域的快速工程应用。该研究确定了7种标准化的成分类别和8种关键提示技术，揭示了提示模板结构的独特类型模式。基于这些见解，本文提出了一个新的三层框架——任务适应、组件配置和增强——它支持开发特定于任务的模块化提示，并具有跨不同规划场景的高适应性。该框架解决了当前静态设计的限制和不发达的交互机制，使更多的上下文感知和负责任的LLM应用程序成为可能。通过这样做，它支持将人工智能融入可持续城市发展，使法学硕士在规划工作流程中的应用更具情境意识、更负责任、更符合战略。通过将临时提示转化为结构化方法，本研究为在城市规划中可靠、透明的人工智能部署提供了基础，并建立了通过有效的人与人工智能协作支持可持续城市发展的系统设计原则。

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引用次数: 0

Impact of circular design and joint-ventures strategies on breaking green patent barriers in the electronic industry 循环设计与合资战略对电子产业绿色专利壁垒的影响

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-10-14 DOI: 10.1016/j.joitmc.2025.100667

Bahram Ipaki , Armin Heydarie

Green Patents are crucial for promoting sustainable development in the electronics industry, acting as indicators of eco-innovation. However, their potential is obstructed by several barriers, that this research systematically identified through a mixed-methods approach that combined qualitative expert assessments across 67 patent laws and design acts from six major markets: Australia, Germany, the USA, Japan, the Netherlands, and China. From an initial pool of 197 barriers, 129 were distilled through expert consultations, resulting in eight primary categorizes: sustainability-specific issues, patent process barriers, technical and design challenges, financial and investment barriers, legal and enforcement challenges, international and geopolitical challenges, regulatory and public sector barriers, compulsory licensing issues, and collaboration and ownership issues. To address these barriers, the research identified 32 drivers, with 15 identified as optimal solutions based on open innovation and circular economy, including collaborative strategies (sharing technology, knowledge, innovation, joint patents, and collaborative IPR), Disassembly Standardization Index, advanced repairing, large-scale repairing, open-source design, reusability, repairability, remanufacturability labels, Digital Product Passport, and fully-open outbound IP models. These drivers facilitate resource pooling, risk-sharing, and knowledge co-creation among stakeholders, thereby promoting circular design strategies in electronic industry. The transition from green patents to circular patents represents a critical shift in sustainable electronics, highlighting the importance of collaborative strategies and JVs s in fostering a circular economy. Future research should focus on comprehensive strategies to tackle unresolved barriers, exploring legislative reforms and financial instruments to support long-term investments in open Innovations.

绿色专利作为生态创新的指标，对促进电子产业的可持续发展至关重要。然而，他们的潜力受到一些障碍的阻碍，本研究通过混合方法系统地识别了这些障碍，该方法结合了来自六个主要市场（澳大利亚、德国、美国、日本、荷兰和中国）的67项专利法和外观设计法案的定性专家评估。从最初的197个障碍中，通过专家咨询提炼出129个障碍，形成8个主要类别：具体可持续性问题、专利程序障碍、技术和设计挑战、金融和投资障碍、法律和执法挑战、国际和地缘政治挑战、监管和公共部门障碍、强制许可问题以及合作和所有权问题。为了解决这些障碍，研究确定了32个驱动因素，其中15个是基于开放式创新和循环经济的最优解决方案，包括协同战略（共享技术、知识、创新、联合专利和协同知识产权）、拆卸标准化指数、先进维修、大规模维修、开源设计、可重用性、可修复性、可再制造性标签、数字产品护照和完全开放的出境IP模型。这些驱动因素促进了利益相关者之间的资源汇集、风险分担和知识共同创造，从而促进了电子行业的循环设计战略。从绿色专利到循环专利的转变代表了可持续电子领域的一个关键转变，突出了合作战略和合资企业在促进循环经济中的重要性。未来的研究应侧重于解决尚未解决的障碍的综合战略，探索立法改革和金融工具，以支持开放式创新的长期投资。

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引用次数: 0

Collective action governance of the offshore wind farms: An empirical Dutch perspective on the North Sea 海上风电场的集体行动治理：荷兰在北海的经验视角

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-10-12 DOI: 10.1016/j.joitmc.2025.100664

Emma Baan, Javanshir Fouladvand

The North Sea has a significant potential for offshore wind energy, making it important in the European energy transition. However, it presents challenges, particularly regarding required changes to marine spatial planning (MSP), impacting the ecological and social systems. This study explores the potential of collective action as an alternative governance approach to managing the North Sea and its offshore wind farms as a common-pool resource. Following the institutional analysis and development (IAD) framework, a semi-structured interview was developed and conducted with 14 Dutch experts. The results demonstrated different levels of governance and the settings influencing these levels. The research identified the following conditions that impact the opportunities for collective action on the North Sea energy resources: complex cost-benefit allocation, monitoring of resources, and a positive attitude towards collaboration. The results also indicated that the actors are willing to collaborate, and collective action could be a potential alternative governance approach for such a complex, large (energy) system. Future research avenues and recommendations are also presented.

北海拥有巨大的海上风能潜力，使其在欧洲能源转型中占有重要地位。然而，它也带来了挑战，特别是在海洋空间规划（MSP）的必要变化方面，影响了生态和社会系统。本研究探讨了集体行动作为管理北海及其海上风电场作为公共资源的替代治理方法的潜力。根据体制分析和发展框架，对14名荷兰专家进行了半结构化访谈。结果显示了不同的治理级别以及影响这些级别的设置。该研究确定了影响北海能源资源集体行动机会的以下条件：复杂的成本效益分配、资源监控以及对合作的积极态度。结果还表明，参与者愿意合作，集体行动可能是这样一个复杂、大型（能源）系统的潜在替代治理方法。提出了今后的研究方向和建议。

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