Journal of Open Innovation: Technology, Market, and Complexity最新文献_第4页

Towards a sixfold helix model for green smart cities? A conceptual exploration of stakeholder collaboration, interaction mechanisms, and role allocation 走向绿色智慧城市的六重螺旋模式？利益相关者协作、交互机制和角色分配的概念探索

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-11-11 DOI: 10.1016/j.joitmc.2025.100681

Jarosław Brodny, Magdalena Tutak

In an era of increasing urbanization, environmental pressure, and growing demands from residents, modern cities face the challenge of properly managing their development. This article presents a conceptual Sixfold Helix model, which offers a new approach to stakeholder cooperation in the process of building Green Smart Cities. The model is based on the combination of science, industry, public administration, civil society, the natural environment, and the digital technology and infrastructure sector. The addition of the sixth helix results from the dynamic development of digital technologies, particularly artificial intelligence, the Internet of Things, big data, and blockchain, which significantly strengthens the role of the technological component in city management processes. The particularly dynamic development of artificial intelligence has recently become a dominant component of social and economic life. The multidimensional nature of AI tools and their versatility and flexibility in adapting to different areas of life make it justified to consider this dimension as a separate and strategic pillar of Green Smart Cities development. The paper conceptualizes the Sixfold Helix model and identifies the main types of cooperation mechanisms between stakeholders who play a key role in planning, implementing, and evaluating Green Smart Cities solutions. Reference is also made to the functional links between the individual helices, identifying fifteen key interactions that reflect the directions and mechanisms of cooperation in the urban ecosystem. As part of this conceptual framework, a map of interaction mechanisms and a RACI matrix were developed as tools for the practical integration of activities and coordination of stakeholders in the transformation processes towards Green Smart Cities. In addition, a SWOT analysis was carried out to determine the internal potential of the model. On this basis, recommendations were formulated for coordination mechanisms and support instruments that may increase resilience and adaptability in the implementation of the Sixfold Helix model in urban practice. It can therefore be concluded that the proposed conceptual model creates unique opportunities for technological, social, and environmental integration in city management in a dynamically changing environment.

在城市化、环境压力和居民需求不断增长的时代，现代城市面临着合理管理其发展的挑战。本文提出了一个概念性的六重螺旋模型，为绿色智慧城市建设过程中的利益相关者合作提供了一种新的途径。该模型基于科学、工业、公共管理、公民社会、自然环境以及数字技术和基础设施部门的结合。第六螺旋的增加源于数字技术的动态发展，特别是人工智能、物联网、大数据和区块链，这大大加强了技术成分在城市管理过程中的作用。最近，人工智能的动态发展已经成为社会和经济生活的主要组成部分。人工智能工具的多维性及其适应不同生活领域的多功能性和灵活性，使我们有理由将这一维度视为绿色智慧城市发展的一个独立的战略支柱。本文对六重螺旋模型进行了概念化，并确定了在规划、实施和评估绿色智慧城市解决方案中发挥关键作用的利益相关者之间的主要合作机制类型。本文还提到了各个螺旋之间的功能联系，确定了15个关键的相互作用，这些相互作用反映了城市生态系统合作的方向和机制。作为这一概念框架的一部分，开发了互动机制图和RACI矩阵，作为向绿色智慧城市转型过程中实际整合活动和协调利益相关者的工具。此外，还进行了SWOT分析，以确定模型的内部潜力。在此基础上，对协调机制和支持工具提出了建议，以提高六重螺旋模型在城市实践中实施的弹性和适应性。因此，可以得出结论，所提出的概念模型为在动态变化的环境中整合城市管理中的技术、社会和环境创造了独特的机会。

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引用次数: 0

Determinants of effective commercialization of scientific projects: Empirical evidence from Kazakhstan 科学项目有效商业化的决定因素：来自哈萨克斯坦的经验证据

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-11-10 DOI: 10.1016/j.joitmc.2025.100683

Bauyrzhan M. Yedgenov , Gulnaz Zh. Alibekova , Elmira N. Mynbayeva , Assel K. Kozhakhmetova

This paper investigates the determinants of successful commercialization of scientific projects funded by the government in Kazakhstan from 2016 to 2018. Using the data on 140 projects that include metrics such as sales, number of patents, jobs created as outputs, and factors like grant amount, co-financing, and capital expenditure as inputs, the study provides empirical insights into the key drivers of commercialization success. The research applies OLS and DEA econometric approaches to analyze the relationships between these variables, offering valuable implications for policy-makers, research institutions, and industry stakeholders aiming to enhance the commercialization potential of scientific endeavors. The findings underscore the importance of financial inputs, particularly co-financing from the private sector, capital expenditure, institutional support, and market alignment, in translating research into viable market products.

本文研究了2016年至2018年哈萨克斯坦政府资助的科学项目成功商业化的决定因素。该研究利用140个项目的数据，包括销售额、专利数量、创造的就业机会等指标，以及赠款金额、联合融资和资本支出等因素作为投入，为商业化成功的关键驱动因素提供了实证见解。本研究运用OLS和DEA计量经济学方法分析了这些变量之间的关系，为决策者、研究机构和行业利益相关者提供了有价值的建议，旨在提高科学努力的商业化潜力。研究结果强调了财政投入，特别是来自私营部门的联合融资、资本支出、机构支持和市场协调，在将研究转化为可行的市场产品方面的重要性。

引用次数: 0

Assessing human-centric, resilient, sustainable and smart transformation in the EU-27 countries: A new balanced composite index method 评估欧盟27国以人为中心、弹性、可持续和智能转型：一种新的平衡复合指数方法

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-11-08 DOI: 10.1016/j.joitmc.2025.100685

Jarosław Brodny, Magdalena Tutak

Dynamic changes in the global economy are generating a new approach to the development of our civilization, culminating in the concept of Industry 5.0. Its essence lies in the integration of four pillars (dimensions): human-centricity, resilience, environmental sustainability, and the smart use of digital technologies. This new paradigm requires a reassessment of the existing approach to civilizational development and leads to a series of transformations implemented also in the EU-27 countries. The paper presents the Balanced Composite Index Method (BCIM), developed to assess and compare the progress of EU-27 countries in the transformation process within the context of Industry 5.0. The direction of these changes is oriented towards human-centric, resilient, sustainable, and smart development (HRS²-I5). The BCIM introduces a penalty mechanism that adjusts the results of individual countries according to the degree of imbalance among the four identified dimensions of transformation. As a result, strong performance in one area does not fully compensate for weaknesses in others. The dataset used in the study comprises 24 indicators representing social, environmental, digital, and economic dimensions. Through the application of normalization, weighting, and penalty correction procedures, the method provides a more balanced and equitable representation of the developmental profiles of the analyzed countries. The findings reveal significant disparities among EU-27 countries. Nordic and Western European nations dominate the HRS² transformation process, while Central and Eastern European countries lag behind due to uneven progress across dimensions. The developed method and the obtained results offer policymakers a comprehensive diagnostic and analytical tool that enables the identification of structural strengths and weaknesses of individual countries. Moreover, they support the formulation of evidence-based development strategies fostering a sustainable, resilient, and inclusive industrial transformation within the European Union.

全球经济的动态变化正在为我们的文明发展产生一种新的方式，最终形成了工业5.0的概念。其本质在于四个支柱（维度）的整合：以人为中心、恢复力、环境可持续性和数字技术的智能使用。这一新的范式要求对现有的文明发展方法进行重新评估，并导致在欧盟27国中也实施的一系列变革。本文提出了平衡综合指数法（BCIM），用于评估和比较欧盟27国在工业5.0背景下转型过程中的进展。这些变化的方向是以人为中心的、有弹性的、可持续的和智能的发展（HRS²-I5）。BCIM引入了一种惩罚机制，根据四个已确定的转型维度之间的不平衡程度调整各国的结果。因此，在一个领域的出色表现并不能完全弥补其他领域的弱点。研究中使用的数据集包括代表社会、环境、数字和经济维度的24个指标。通过应用标准化、加权和惩罚纠正程序，该方法对所分析国家的发展概况提供了更平衡和公平的反映。调查结果揭示了欧盟27个国家之间的巨大差异。北欧和西欧国家在HRS²转型过程中占据主导地位，而中欧和东欧国家由于各维度的进展不均衡而落后。所开发的方法和获得的结果为政策制定者提供了一个全面的诊断和分析工具，使其能够确定个别国家的结构优势和弱点。此外，双方支持制定以证据为基础的发展战略，促进欧盟内部实现可持续、有韧性和包容性的产业转型。

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引用次数: 0

Uncovering the impact of supply chain management practices on supply chain performance: A hybrid PLS-SEM and ANN approach 揭示供应链管理实践对供应链绩效的影响：一种混合PLS-SEM和ANN方法

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-11-08 DOI: 10.1016/j.joitmc.2025.100684

Seleem Mohammed Hassan Osman , Teh Sin Yin , Alhamzah Alnoor , Mohammed Salah Alazzawi , Ng Theam Foo

What turns process discipline into real performance in turbulent markets? This study examines how process-oriented supply chain management (SCM) practices relate to performance via digital innovation, and whether market turbulence conditions those relationships. We surveyed 387 managers and department heads in manufacturing firms across Cairo, Alexandria, and Aswan. The model includes five practice families (lean, agile, resilience, green, sustainable), four digital-innovation facets (user experience, value proposition, skills, digital human capital, improvisation), market turbulence, and multi-dimensional supply-chain performance. Using PLS-SEM (SmartPLS 4), the measurement model shows strong reliability and validity. Resilience, agile, and lean display consistent, positive, and significant associations with all digital facets; sustainable practices show more minor positive associations. Green practices are non-significant for skills and improvisation, marginal for value proposition, and null for user experience, indicating a primarily market-facing rather than capability-deepening role in this sample. Mediation through digital innovation is broadly supported; for green practices, only the user-experience and value-proposition channels are supported. Market turbulence shows no direct association with performance and negatively moderates only the improvisation–performance link. We specify a capability stack in which resilience, supported by lean and agile, provides the operational foundation for digital value creation, with value proposition (and user experience) emerging as the most potent levers of environmental, economic, operational, and social performance. A 10-fold cross-validated ANN complements the SEM by capturing nonlinearities and ranking predictors, highlighting value proposition as the strongest driver of supply-chain performance.

在动荡的市场中，是什么将流程纪律转化为真正的业绩？本研究考察了流程导向的供应链管理（SCM）实践如何通过数字创新与绩效相关，以及市场动荡是否会影响这些关系。我们调查了开罗、亚历山大和阿斯旺制造企业的387名经理和部门主管。该模型包括五个实践家族（精益、敏捷、弹性、绿色、可持续）、四个数字创新方面（用户体验、价值主张、技能、数字人力资本、即兴创作）、市场动荡和多维供应链绩效。采用PLS-SEM (SmartPLS 4)，测量模型具有较强的信度和效度。弹性、敏捷和精益与所有数字方面都显示出一致的、积极的和显著的关联；可持续实践显示出更小的积极关联。绿色实践对技能和即兴创作不重要，对价值主张不重要，对用户体验不重要，表明在本样本中主要是面向市场而不是能力深化的角色。通过数字创新进行调解得到广泛支持；对于绿色实践，只支持用户体验和价值主张渠道。市场动荡与业绩没有直接联系，只对即兴与业绩之间的联系起到负向调节作用。我们指定了一个能力堆栈，在这个能力堆栈中，由精益和敏捷支持的弹性为数字价值创造提供了操作基础，价值主张（和用户体验）作为环境、经济、操作和社会绩效的最有效杠杆出现。10倍交叉验证的人工神经网络通过捕获非线性和排序预测因子来补充SEM，强调价值主张是供应链绩效的最强驱动因素。

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引用次数: 0

Open innovation in industrial demand response: A computing continuum approach to overcoming technological barriers 工业需求响应中的开放式创新：克服技术壁垒的计算连续体方法

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-11-06 DOI: 10.1016/j.joitmc.2025.100678

Atit Bashyal, Pakin Veerachanchi, Tina Boroukhian, Hendro Wicaksono

The rise of Industrial IoT (IIoT) alongside cloud, edge, and fog computing is transforming industrial operations and enabling new Demand Response (DR) opportunities in the Smart Grid. DR allows end-users to adjust energy consumption in response to external signals. Still, its adoption in industry is limited by challenges such as communication, security, interoperability, and computing constraints, especially in environments requiring real-time decision-making. This paper explores how the Computing Continuum can help overcome these barriers and support scalable, flexible, and responsive Industrial Demand Response (IDR) systems. We propose a reference architecture that integrates key IIoT and energy management trends to support real-time processing and system interoperability. A central focus is the role of aggregators and the importance of open innovation and cloud service providers in enabling adaptive and collaborative IDR solutions. Our findings offer a roadmap for aligning technological advancements with IDR needs, contributing to more effective and sustainable energy management in Industry 4.0 settings.

工业物联网（IIoT）与云计算、边缘计算和雾计算的兴起正在改变工业运营，并在智能电网中实现新的需求响应（DR）机会。容灾允许终端用户根据外部信号调整能耗。然而，它在工业中的采用受到通信、安全、互操作性和计算约束等挑战的限制，特别是在需要实时决策的环境中。本文探讨了计算连续体如何帮助克服这些障碍，并支持可扩展的、灵活的、响应迅速的工业需求响应（IDR）系统。我们提出了一个集成关键工业物联网和能源管理趋势的参考架构，以支持实时处理和系统互操作性。核心焦点是聚合器的作用以及开放创新和云服务提供商在实现自适应和协作IDR解决方案中的重要性。我们的研究结果为将技术进步与IDR需求相结合提供了路线图，有助于在工业4.0环境下实现更有效和可持续的能源管理。

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引用次数: 0

Entrepreneurial technology networks: A systematic patent analysis using multi-method social network framework 创业技术网络：基于多方法社会网络框架的系统专利分析

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-11-05 DOI: 10.1016/j.joitmc.2025.100679

Mehrdad Maghsoudi , Navid Mohammadi , Mahdi Azarnioush

In today's fast-changing business world, knowing how technology drives entrepreneurial innovation is key to staying competitive and ensuring long-term economic growth. Despite extensive research on patents and entrepreneurship separately, there remains a significant gap in comprehensively analyzing how different technologies interconnect and influence entrepreneurial innovation through patent classifications. The combination of Association Rule Mining (ARM), Social Network Analysis (SNA), and Fuzzy Cognitive Maps (FCM) methodologies enables a comprehensive understanding of these interconnections by leveraging ARM for identifying relationships, SNA for visualizing networks, and FCM for modeling dynamic influences, providing insights that single-method approaches often miss. This study aims to map and prioritize technological domains in entrepreneurship by analyzing patent classifications using an innovative multi-method approach involving data analysis and social network analysis. The research methodology integrates these three methods to analyze 14,358 business model patents, culminating in a TOPSIS-based prioritization framework. The findings reveal a significant surge in entrepreneurial patent activities from 2020 onwards, peaking in 2021 with 1618 patents. The analysis identifies key technological clusters, with digital commerce, administration systems and sector-specific solutions emerging as central drivers of innovation. The ARM analysis uncovers 54 significant technological relationships, while FCM analysis reveals the dynamic influence patterns among different patent classifications.

在当今瞬息万变的商业世界中，了解技术如何推动企业创新是保持竞争力和确保长期经济增长的关键。尽管对专利和企业家精神进行了广泛的研究，但在通过专利分类综合分析不同技术如何相互联系并影响企业家创新方面仍存在很大的差距。关联规则挖掘（ARM）、社会网络分析（SNA）和模糊认知地图（FCM）方法的结合，通过利用ARM识别关系、SNA可视化网络和FCM建模动态影响，可以全面了解这些相互联系。本研究旨在利用一种创新的多方法方法，包括数据分析和社会网络分析，通过分析专利分类，来绘制创业中的技术领域并对其进行优先排序。该研究方法整合了这三种方法，分析了14358项商业模式专利，最终得出了一个基于topsis的优先级框架。研究结果显示，从2020年起，创业专利活动大幅增加，在2021年达到峰值，拥有1618项专利。该分析确定了关键的技术集群，其中数字商务、管理系统和特定行业的解决方案正在成为创新的核心驱动力。ARM分析揭示了54种重要的技术关系，而FCM分析揭示了不同专利分类之间的动态影响模式。

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引用次数: 0

Multiple pathways to green entrepreneurial behaviour: A configurational study in Vietnam 绿色创业行为的多种途径：越南的配置研究

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-10-31 DOI: 10.1016/j.joitmc.2025.100677

Thi Le Duyen Chau , Van Dan Phan , Tuyet Anh Nguyen Pham

This study advances sustainable entrepreneurship research by examining how cognitive, motivational, and disciplinary factors jointly shape green entrepreneurial behaviour (GEB) among university students in Vietnam. Extending the Theory of Planned Behaviour (TPB), the model incorporates innovation orientation and self-expectations to better capture the intention–action linkage. A mixed-methods design combining Partial Least Squares Structural Equation Modelling (PLS-SEM) and fuzzy-set Qualitative Comparative Analysis (fsQCA) was applied across four academic disciplines. Results show that attitude, self-efficacy, subjective norms, innovation orientation, and self-expectations significantly influence green entrepreneurial intention (EI), which is the primary predictor of GEB. Knowledge and financial capital were non-significant. fsQCA reveals three equifinal configurations, highlighting causal asymmetry and the disciplinary nature of entrepreneurial logic. Notably, non-linear and synergistic effects between attitude and self-expectations were identified, and the intention–behaviour link was stronger for male and STEM students. These findings offer theoretical integration of TPB, effectuation, and disciplinary logic, while providing actionable insights for designing targeted, context-sensitive green entrepreneurship education in emerging economies.

本研究通过考察认知、动机和学科因素如何共同塑造越南大学生的绿色创业行为（GEB），推进了可持续创业研究。该模型扩展了计划行为理论（TPB），结合了创新导向和自我期望，以更好地捕捉意图-行动的联系。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）相结合的混合方法设计了四个学科。结果表明，态度、自我效能感、主观规范、创新取向和自我期望显著影响绿色创业意向（EI）， EI是绿色创业意向的主要预测因子。知识和金融资本不显著。fsQCA揭示了三种等效配置，突出了因果不对称和创业逻辑的学科性质。值得注意的是，态度和自我期望之间存在非线性和协同效应，并且在男性和STEM学生中，意向-行为的联系更强。这些发现提供了TPB、有效性和学科逻辑的理论整合，同时为在新兴经济体中设计有针对性的、环境敏感的绿色创业教育提供了可操作的见解。

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引用次数: 0

The role of the Galeri Nasional Indonesia in fostering cultural resilience through preservation, community empowerment, and technological innovation 印尼国家美术馆在通过保护、社区赋权和技术创新促进文化复原力方面的作用

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-10-30 DOI: 10.1016/j.joitmc.2025.100676

Yulis Susilawaty , Armaidy Armawi , Paramitha Dyah Fitriasari , Kaelan

This research addresses the gap in understanding the role of cultural institutions, specifically the Galeri Nasional Indonesia (GNI), in fostering resilience through three key dimensions: preservation, empowerment, and innovation. Despite existing literature on galleries and heritage preservation, few studies examine how a national cultural institution integrates these dimensions to build resilience at a systemic scale. This research employs a qualitative case study approach with data collection methods including in-depth interviews, participatory observation, Focus Group Discussions (FGD), and documentary analysis. A total of 15 informants were purposively selected, comprising gallery staff, curators, artists, and visitors, to provide a comprehensive view of GNI’s impact. The findings indicate that GNI has implemented several strategic initiatives, including thematic nationalist exhibitions, traditional art training, and digital archiving, which contribute to cultural preservation. It also advances community empowerment through collaborative projects, cultural dialog forums, and public education programs. The use of digital technologies, such as virtual exhibitions and social media, has further expanded access to cultural content, particularly for underrepresented regions. Overall, the study highlights how GNI reinforces national identity and adaptive cultural resilience through inclusive and innovative strategies. This contribution extends beyond descriptive accounts by offering a model for policy design and institutional practice in the era of digital transformation and regional inclusivity.

本研究解决了人们对文化机构，特别是印度尼西亚国家美术馆（GNI）在通过保护、赋权和创新三个关键维度培养复原力方面的作用的理解差距。尽管已有关于画廊和遗产保护的文献，但很少有研究考察国家文化机构如何整合这些维度以在系统规模上建立复原力。本研究采用定性案例研究方法，数据收集方法包括深度访谈、参与式观察、焦点小组讨论（FGD）和文献分析。我们有意挑选了15位受访者，包括画廊工作人员、策展人、艺术家和参观者，以全面了解GNI的影响。研究结果表明，GNI已经实施了几项战略举措，包括主题民族主义展览、传统艺术培训和数字存档，这些都有助于文化保护。它还通过合作项目、文化对话论坛和公共教育项目推进社区赋权。虚拟展览和社交媒体等数字技术的使用进一步扩大了获取文化内容的渠道，特别是在代表性不足的地区。总体而言，该研究强调了GNI如何通过包容性和创新战略加强国家认同和适应性文化复原力。这一贡献超越了描述性描述，为数字化转型和区域包容性时代的政策设计和制度实践提供了一个模型。

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引用次数: 0

Building regional entrepreneurial ecosystems: Lessons from Germany’s Havel Valley community-driven initiatives 构建区域创业生态系统：来自德国哈维尔谷社区驱动计划的经验教训

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-10-26 DOI: 10.1016/j.joitmc.2025.100669

Varun Gupta

This paper examines the role of Havel Valley, a volunteer-led, community-driven entrepreneurial initiative in Brandenburg, Germany, to explore how entrepreneur networks shape regional ecosystems through co-creation. Using a qualitative exploratory case study approach that combines participation in activities, interviews with members, and secondary data, the study investigates how Havel Valley offers business support services through co-creation among community entrepreneurs. Thematic analysis identifies three core activities, Independent Meet-Ups, Level Up workshops, and Popcorn Pitch—that foster peer-to-peer networking, knowledge exchange, and collaborative problem-solving, creating an inclusive culture of co-creation. The analysis further highlights four mechanisms, collective problem-solving, peer-to-peer knowledge exchange, collaborative design and entrepreneurial experimentation, and co-creation of culture and identity, that demonstrate how community entrepreneurs act simultaneously as providers and users of support. In addition, the paper proposes a practical monitoring and evaluation (M&E) framework with a theory of change and outcome indicators, enabling grassroots initiatives to assess effectiveness and advocate for resources. By documenting Havel Valley’s experience, the study shows how community entrepreneurship initiatives can complement or substitute formal institutions, strengthen regional ecosystems, and provide transferable lessons for other contexts.

本文考察了德国勃兰登堡由志愿者领导、社区驱动的创业项目哈维尔谷（Havel Valley）的作用，以探索企业家网络如何通过共同创造塑造区域生态系统。本研究采用定性探索性案例研究方法，结合参与活动、对会员的访谈和二手数据，调查了哈维尔谷如何通过社区企业家的共同创造提供商业支持服务。专题分析确定了三个核心活动：独立见面会、提升水平研讨会和爆米花推介——它们促进了点对点网络、知识交流和协作解决问题，创造了一种包容的共同创造文化。分析进一步强调了四种机制，即集体解决问题、点对点知识交流、协作设计和创业实验，以及文化和身份的共同创造，这些机制展示了社区企业家如何同时作为支持的提供者和使用者。此外，本文还提出了一个具有变革理论和结果指标的实用监测和评估框架，使基层倡议能够评估有效性并倡导资源。通过记录哈维尔谷的经验，该研究显示了社区创业倡议如何补充或替代正式机构，加强区域生态系统，并为其他情况提供可转移的经验教训。

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引用次数: 0

Extending UTAUT with perceived intelligence for the adoption of artificial intelligence in MSMEs and startups in Indonesia: A multi-group analysis 印尼中小微企业和初创企业采用人工智能的感知智能扩展UTAUT：多组分析

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-10-25 DOI: 10.1016/j.joitmc.2025.100673

Rambat Lupiyoadi , Muthia Pramesti , Ridho Bramulya Ikhsan , Lokhman Hakim Usman , Donard Games , Kurniawan , Ahmad Fakhrorazi

The adoption of artificial intelligence (AI) is becoming increasingly important for micro-, small, and medium-sized enterprises (MSMEs) and startups in Indonesia as it enhances their competitiveness, efficiency, and innovation. However, factors driving AI adoption may differ between these two business types. This study investigates these differential factors by extending the unified theory of acceptance and use of technology model and adding the perceived intelligence construct. The explanatory quantitative research design employs purposive sampling, collecting data from 322 respondents (247 MSMEs and 75 start-ups). This extended model is analyzed using variance-based structural equation modeling (PLS-SEM) and multi-group analysis (MGA). The PLS-SEM results show that for MSMEs, performance expectancy, facilitating conditions, and perceived intelligence significantly influence behavioral intention, which, along with facilitating conditions, drives actual use. Conversely, for startups, performance expectancy and effort expectancy mainly drive behavioral intention, which in turn leads to actual use. Crucially, the MGA confirms significant differences between the two business types in terms of the effect of effort expectancy, facilitating conditions, and perceived intelligence on behavioral intention, as well as the effect of facilitating conditions on actual use. The study’s results contribute to the literature by validating the need for specific technology adoption models. Moreover, the study offers practical implications by emphasizing the importance of tailoring AI adoption strategies to the unique characteristics and needs of MSMEs and startups.

人工智能（AI）的采用对印度尼西亚的微型、小型和中型企业（MSMEs）和初创企业变得越来越重要，因为它可以提高它们的竞争力、效率和创新能力。然而，推动人工智能采用的因素可能在这两种业务类型之间有所不同。本研究通过扩展技术接受与使用的统一理论模型，并加入感知智能结构来探讨这些差异因素。解释性定量研究设计采用目的性抽样，收集了322名受访者（247家中小微企业和75家初创企业）的数据。采用基于方差的结构方程模型（PLS-SEM）和多组分析（MGA）对该扩展模型进行了分析。PLS-SEM结果表明，对于中小微企业而言，绩效期望、便利条件和感知智力显著影响行为意愿，行为意愿与便利条件一起驱动实际使用。相反，对于创业公司来说，绩效期望和努力期望主要驱动行为意愿，进而导致实际使用。至关重要的是，MGA证实了两种业务类型在努力预期、便利条件和感知智力对行为意图的影响以及便利条件对实际使用的影响方面存在显著差异。该研究的结果通过验证特定技术采用模型的必要性，为文献做出了贡献。此外，该研究还强调了根据中小微企业和初创企业的独特特点和需求定制人工智能采用策略的重要性，从而提供了实际意义。

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引用次数: 0