Journal of Open Innovation: Technology, Market, and Complexity最新文献_第10页

Transformational leadership cultivating innovation and transparency in local government organisations, Thailand 变革型领导在泰国地方政府组织中培养创新和透明度

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-09-01 DOI: 10.1016/j.joitmc.2025.100626

Vissanu Zumitzavan , Krisada Prachumrasee , Shubham Pathak

This study investigates the nexus between transformational leadership (TL), organisational innovation (OI), organisational transparency (OT), and their collective impact on organisational success (LOS) within Thailand's Local Administrative Organisations (LAOs). Utilizing a quantitative research methodology, data was gathered through questionnaires from 132 top-level managers, representing a response rate of 59.70 per cent. To ensure reliability and validity, the research instrument was pilot-tested, and the dataset underwent rigorous statistical appraisal, comprising Cronbach’s Alpha for internal consistency and assessments for multicollinearity confirming the data's robustness for analysis. The findings indicate that both OI and OT serve as significant mediators in the relationship between TL and LOS. This research contributes a novel conceptual framework by incorporating these three constructs within the under-examined context of Thai public sector governance. It theorizes that TL, OI, and OT function as an interrelated system wherein TL nurtures a culture of innovation and transparency, which in turn establishes a strengthening cycle enhancing operational efficiency, citizen satisfaction, and institutional legitimacy. The implications of this study are twofold. Academically, it suggests a substantive foundation for theories of public sector leadership in a Southeast Asian context. Practically, it emphasizes the necessity for structured leadership development programmes and the strategic implementation of digital transformation to increase local governance. Finally, avenues for subsequent research are proposed, advocating for more diverse methodologies—such as longitudinal and comparative studies—to further advance theoretical knowledge and inform administrative practice across the region.

本研究探讨了泰国地方行政组织（老挝）的变革型领导（TL）、组织创新（OI）、组织透明度（OT）及其对组织成功（LOS）的集体影响之间的关系。利用定量研究方法，通过对132名高层管理人员的问卷调查收集数据，回复率为59.70%。为确保可靠性和有效性，研究工具进行了初步测试，并对数据集进行了严格的统计评估，包括Cronbach 's Alpha内部一致性和多重共线性评估，以确认数据的稳健性。研究结果表明，在TL和LOS之间的关系中，OI和OT都是重要的中介。本研究通过将这三种结构纳入泰国公共部门治理的研究背景中，提供了一个新的概念框架。该理论认为，TL、OI和OT作为一个相互关联的系统发挥作用，其中TL培育了一种创新和透明的文化，这反过来又建立了一个强化循环，提高了运营效率、公民满意度和制度合法性。这项研究的意义是双重的。在学术上，它为东南亚背景下的公共部门领导理论提供了实质性的基础。实际上，它强调了结构化领导力发展计划和数字化转型战略实施的必要性，以加强地方治理。最后，提出了后续研究的途径，提倡采用更多样化的方法，如纵向研究和比较研究，以进一步推进理论知识并为整个地区的行政实践提供信息。

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引用次数: 0

Capitalising the network externalities of new land supply in the metaverse 利用新土地供应的网络外部性

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-09-01 DOI: 10.1016/j.joitmc.2025.100625

Kanis Saengchote , Voraprapa Nakavachara , Yishuang Xu

We investigate how new land releases affect the pricing of nearby parcels in a standardised virtual real estate market. Using 9920 secondary-market transactions from The Sandbox on the Ethereum blockchain, we implement a difference-in-differences design around expansion announcements. Nearby parcels appreciate post-announcements and the effect decays with distance (approximately 9 % under a discrete near definition; distance halving implies approximately 2.2 % higher prices). Proximity capitalisation weakens as release size increases but strengthens in branded partner/celebrity waves and wanes during a market-wide salience episode (Facebook rebranding to Meta). Results show that in digital economies, spatial value concentrates through attention-driven network externalities rather than physical access.

我们研究了在标准化虚拟房地产市场中，新土地释放如何影响附近地块的定价。使用以太坊区块链上沙盒的9920个二级市场交易，我们围绕扩展公告实现了差异中的差异设计。附近的包裹在公告后会升值，并且影响随着距离的远近而衰减（在离散近定义下约为9 %；距离减半意味着价格约为2.2 %）。邻近资本随着发行规模的增加而减弱，但在品牌合作伙伴/名人浪潮中增强，并在市场范围内的突出事件中减弱（Facebook更名为Meta）。结果表明，在数字经济中，空间价值通过注意力驱动的网络外部性而不是物理访问来集中。

引用次数: 0

Assessing transformative procurement maturity: A general framework using a fuzzy model 评估变革性采购成熟度：使用模糊模型的一般框架

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-09-01 DOI: 10.1016/j.joitmc.2025.100622

Areej Althabatah , Regina Padmanabhan , Mohammed Yaqot , Majed Hadid , Laoucine Kerbache

Digital transformation (DT) is imperative to improve co-ordination, collaboration, efficiency, and visibility of organizations in today’s complex global supply chains. Such transformations should be driven by the internal requirements of the organization and the expectations of external stakeholders. DT attempts may fail if not aligned with people, information, processes, and existing capabilities within the organization. Even though organizations intend to start their digitalization journey by transforming the procurement process, as it directly connects to cost, productivity, quality, and compliance goals of organizations, procurement digitalization readiness is an underexplored area compared to holistic supply chain maturity, indicating a gap in both research and practice. The main objective of this research is to spotlight the complexities related to procurement digitalization and develop a novel maturity model that combines the strengths of fuzzy logic with a comprehensive and generic maturity framework tailored for the systematic assessment of procurement function. A six-phase structured approach encompassing literature review, criteria validation, Analytical Hierarchy Process (AHP) integration, survey execution, fuzzy model application and validation is used to develop a generic mathematical algorithm to assess DT readiness. Case studies across various sectors such as energy, banking, defense, manufacturing, healthcare, education, and construction demonstrate effectiveness of the proposed model in addressing vagueness in maturity investigations. Manufacturing industry demonstrates the highest readiness, in terms of adopting strategic approaches towards digitization and market innovation. Most sectors require significant improvement in supplier relationships, especially to utilize vast available information and manage risks proactively with advanced digital tools.

在当今复杂的全球供应链中，数字化转型（DT）对于提高组织的协调、协作、效率和可见性至关重要。这样的转换应该由组织的内部需求和外部涉众的期望驱动。如果不与组织内的人员、信息、流程和现有功能保持一致，DT尝试可能会失败。尽管组织打算通过改变采购流程来开始他们的数字化之旅，因为它直接关系到组织的成本、生产力、质量和合规目标，但与整体供应链成熟度相比，采购数字化准备是一个未被充分探索的领域，这表明研究和实践都存在差距。本研究的主要目的是揭示采购数字化相关的复杂性，并开发一种新的成熟度模型，该模型将模糊逻辑的优势与为采购功能系统评估量身定制的全面通用成熟度框架相结合。采用六阶段结构化方法，包括文献综述、标准验证、层次分析法（AHP）集成、调查执行、模糊模型应用和验证，以开发一种通用的数学算法来评估DT准备情况。跨能源、银行、国防、制造业、医疗保健、教育和建筑等各个部门的案例研究证明了所提出的模型在解决成熟度调查中的模糊性方面的有效性。制造业在采用数字化和市场创新的战略方法方面表现出最高的准备程度。大多数行业都需要显著改善供应商关系，特别是利用大量可用信息，并通过先进的数字工具主动管理风险。

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引用次数: 0

Scaling Wheel Framework: A holistic approach to startup scalability, governance models, and AI-driven innovation ecosystem competitiveness 伸缩轮框架：一个全面的方法来启动可扩展性，治理模型和人工智能驱动的创新生态系统竞争力

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-09-01 DOI: 10.1016/j.joitmc.2025.100619

Francesc Font-Cot, Pablo Lara-Navarra, Claudia Sánchez Arnau, Enric Serradell-Lopez

Purpose

Existing frameworks for startup development often focus on isolated factors—business models, innovation, or operations—without providing a holistic approach to scalability. This study introduces the Scaling Wheel Framework, designed to fill this gap by evaluating startups across five interconnected modules: Entrepreneurial Team, Competitive Environment, Product and Service, Capital and Resources, and Strategy, Timing, and Sustainable Competitive Advantage.

Design/methodology/approach

We employed a mixed-methods design, combining 30 interviews with founders, investors, and experts, a structured quantitative survey, and case studies. The framework’s predictive capability was validated using mathematical modeling and similarity-based machine learning techniques to ensure analytical rigor and reproducibility.

Findings

Results show that the Scaling Wheel Framework identifies critical strengths and weaknesses overlooked by traditional models. It provides actionable insights for improving scalability readiness and long-term competitiveness. Empirical findings confirm its practical utility for startups, investors, and policymakers, while theoretical contributions integrate governance mechanisms and AI-driven analytics within digital and green innovation ecosystems.

Originality/value

This research introduces and empirically validates a holistic, multidimensional model for startup scalability. By bridging gaps in prior studies and offering practical guidance, it advances both theory and practice in managing sustainable growth within complex, technology-driven ecosystems.

现有的创业开发框架通常关注于孤立的因素——商业模式、创新或运营——而没有提供可扩展性的整体方法。本研究引入了规模轮框架，旨在通过评估创业公司的五个相互关联的模块来填补这一空白：创业团队、竞争环境、产品和服务、资本和资源、战略、时机和可持续竞争优势。设计/方法/方法我们采用了混合方法设计，结合了对创始人、投资者和专家的30次访谈、结构化的定量调查和案例研究。使用数学建模和基于相似性的机器学习技术验证了该框架的预测能力，以确保分析的严谨性和可重复性。结果表明，尺度轮框架识别了传统模型所忽略的关键优势和弱点。它为改进可伸缩性准备和长期竞争力提供了可操作的见解。实证研究结果证实了它对初创企业、投资者和政策制定者的实际效用，而理论贡献则将治理机制和人工智能驱动的分析整合到数字和绿色创新生态系统中。原创性/价值本研究引入并实证验证了一个整体的、多维的创业可扩展性模型。通过弥合先前研究的差距并提供实践指导，它推动了在复杂的技术驱动生态系统中管理可持续增长的理论和实践。

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引用次数: 0

The role of organizational and stakeholder factors in strengthening digital literacy and communication for edu-tourism 组织和利益相关者因素在加强教育旅游的数字素养和交流中的作用

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-08-20 DOI: 10.1016/j.joitmc.2025.100618

Augustina Asih Rumanti , Yosef Daryanto , Mia Amelia , Artamevia Salsabila Rizaldi , Ibnu Zulkarnain , Luciana Andrawina

This study addresses the pressing challenge faced by edu-tourism in Indonesia, namely, how to improve Digital Literacy and Communication (DLC) among local stakeholders to enhance tourism management and destination competitiveness. Previous studies have not sufficiently examined the combined influence of organizational performance and stakeholder engagement on strengthening digital capabilities, leaving a research gap that this study aims to fill. Using data collected from 216 respondents representing key tourism stakeholders, this study applies Partial Least Squares Structural Equation Modeling (PLS-SEM) to evaluate the relationships among organizational performance, stakeholder engagement, and digital literacy and communication. The results show that organizational performance significantly influences DLC (path coefficient 0.823; T-statistic 27.444; P-value 0.002), as does stakeholder engagement (path coefficient 0.841; T-statistic 29.821; P-value 0.000). The digital literacy variable has an R² value of 0.852, indicating its strong explanatory power in digital communication development. Based on these findings, recommended strategies include the development of targeted training modules on destination management, local culture, and digital marketing, alongside the implementation of a collaborative digital platform designed to enhance stakeholder skills. This strategy is expected to strengthen organizational contributions and stakeholder collaboration, support sustainable tourism development, and increase the global competitiveness of Indonesia’s edu-tourism destinations, such as Banyu Aji Tourism Village and Mangunan Village in Yogyakarta.

本研究旨在解决印尼教育旅游面临的紧迫挑战，即如何改善当地利益相关者之间的数字素养和沟通（DLC），以提高旅游管理和目的地竞争力。以往的研究没有充分考察组织绩效和利益相关者参与对加强数字化能力的综合影响，留下了本研究旨在填补的研究空白。本研究利用来自216名主要旅游利益相关者的受访者的数据，应用偏最小二乘结构方程模型（PLS-SEM）来评估组织绩效、利益相关者参与、数字素养和沟通之间的关系。结果表明，组织绩效显著影响DLC（路径系数0.823，t统计量27.444，p值0.002），利益相关者敬业度显著影响DLC（路径系数0.841，t统计量29.821，p值0.000）。数字素养变量的R²值为0.852，表明其对数字传播发展的解释力很强。基于这些发现，建议的策略包括开发目的地管理、当地文化和数字营销方面的有针对性的培训模块，同时实施旨在提高利益相关者技能的协作数字平台。预计这一战略将加强组织贡献和利益攸关方合作，支持可持续旅游发展，并提高印尼教育旅游目的地的全球竞争力，如日惹的Banyu Aji旅游村和Mangunan村。

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引用次数: 0

Frugal innovation framework for micro-entrepreneurs’ sustainable performance: From design thinking approach 微型企业家可持续绩效的节俭创新框架：基于设计思维方法

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-08-15 DOI: 10.1016/j.joitmc.2025.100616

Prita Ayu Kusumawardhany , Imam Baihaqi , Putu Dana Karningsih

Frugal Innovation (FI) offers cost-effective, value-creating solutions that are especially relevant for Micro, Small, and Medium Enterprises (MSMEs) operating under significant resource constraints. Despite the growing interest in FI, micro-entrepreneurs (micropreneurs) often lack a clear, actionable framework to guide their implementation. While prior studies have explored various enablers of FI, there is limited focus on how MSMEs can practically navigate the innovation process under financial, managerial, and operational limitations. This study addresses this gap by designing a FI framework tailored for micropreneurs. Utilizing an Action Design Research (ADR) methodology integrated with the Design Thinking (DT) approach, this research has five stages: empathy, define, ideation, prototype, and test. The first two stages involve semi-structured interviews with 12 Indonesian fashion micropreneurs, analyzed using NVivo 14 to construct user personas and identify core problems. The final stage is conducted through a collaborative DT workshop with 30 fashion micropreneurs. The findings reveal that micropreneurs can co-create a practical FI guideline aligned with contextual realities. This research contributes to the field of open innovation by offering a participatory, user-centered framework that supports sustainable and competitive innovation in a resource-limited environment. This study also provides insights for policymakers and practitioners seeking to strengthen innovation ecosystems for MSMEs in emerging economies.

节约型创新（FI）提供具有成本效益、创造价值的解决方案，特别适用于在严重资源限制下运营的微型、小型和中型企业（MSMEs）。尽管人们对金融融通越来越感兴趣，但微型企业家往往缺乏一个明确的、可操作的框架来指导其实施。虽然先前的研究已经探索了金融创新的各种促成因素，但对中小微企业如何在财务、管理和运营限制下实际驾驭创新过程的关注有限。本研究通过设计为微型企业家量身定制的FI框架来解决这一差距。本研究采用行动设计研究（ADR）和设计思维（DT）相结合的方法，分为五个阶段：移情、定义、构思、原型和测试。前两个阶段包括对12位印尼时尚微企业家的半结构化访谈，使用NVivo 14进行分析，以构建用户角色并确定核心问题。最后阶段是通过与30位时尚微企业家合作的DT工作坊进行。研究结果表明，微型企业家可以共同创建一个符合背景现实的实用FI指南。本研究通过提供一个参与性的、以用户为中心的框架，在资源有限的环境中支持可持续的、有竞争力的创新，为开放式创新领域做出了贡献。本研究还为寻求加强新兴经济体中小微企业创新生态系统的政策制定者和实践者提供了见解。

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引用次数: 0

Modeling governance innovation under esg pressure: A DEMATEL–ANP approach to institutional complexity esg压力下的治理创新建模：制度复杂性的DEMATEL-ANP方法

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-08-13 DOI: 10.1016/j.joitmc.2025.100617

Konstantina Ragazou , George Sklavos , Georgia Zournatzidou , Nikolaos Sariannidis

This study introduces a novel, systems-based framework for assessing ESG governance innovation within controversial financial institutions. The research utilizes the Decision-Making Trial and Evaluation Laboratory (DEMATEL) to identify causal relationships and the Analytic Network Process (ANP) to deduce system-aware priority weights to model the interdependencies among governance elements. The Innovation Readiness Index (IRI) is a composite metric that evaluates an institution's ability to undergo ESG-oriented transformation by integrating these methods. According to the model, Executive Compensation Transparency, Audit Committee Independence, and Board Independence are the primary structural drivers of governance innovation, as evidenced by data from 385 European financial institutions with governance controversies. Conversely, indicators such as Women in Management and ESG Controversy Score function as outcome variables. The study redefines ESG governance as a dynamic and adaptive system and offers a replicable method for assessing innovation readiness in high-risk financial environments.

本研究引入了一个新颖的、基于系统的框架，用于评估有争议的金融机构中的ESG治理创新。本研究利用决策试验与评估实验室（DEMATEL）识别因果关系，并利用分析网络过程（ANP）推导系统感知的优先级权重，以模拟治理要素之间的相互依赖关系。创新准备指数（IRI）是一个综合指标，用于评估机构通过整合这些方法进行esg导向转型的能力。根据该模型，高管薪酬透明度、审计委员会独立性和董事会独立性是治理创新的主要结构性驱动因素，来自385家存在治理争议的欧洲金融机构的数据证明了这一点。相反，管理女性和ESG争议评分等指标作为结果变量。该研究将ESG治理重新定义为一个动态的适应性系统，并提供了一种可复制的方法来评估高风险金融环境中的创新准备情况。

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引用次数: 0

Organizing digital innovations 组织数字创新

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-08-12 DOI: 10.1016/j.joitmc.2025.100615

Peter Schrader , Joachim Heidelbach , Roman Ungern-Sternberg , Erwin Gross , Thomas Bauernhansl

Digital innovations reshape the competitive landscape for machinery and plant engineering companies, challenging established organizational structures to integrate digital and physical products, and increasingly calling for open-innovation collaborations that leverage external knowledge and ecosystems. This study examines the new requirements of digital innovations. Based on a qualitative coding approach analyzing 19 expert interviews, the research reveals a progression in organizational adaptation and provides criteria to help companies select the appropriate approach. Companies typically begin with reactive, short-term, ad hoc solutions before evolving toward integrated, proactive models. The optimal approach is dictated by influencing factors related to the company and the innovation idea, such as corporate strategy, risk tolerance, degree of digitization, resource availability, and alignment of innovation with core operations. The study contributes a systematic framework for selecting digital innovation strategies, providing practical guidance for aligning organizational structures with digital imperatives, and suggesting future longitudinal and cross-industry research directions.

数字创新重塑了机械和设备工程公司的竞争格局，挑战了现有的组织结构，以整合数字和物理产品，并越来越多地要求利用外部知识和生态系统的开放式创新合作。本研究探讨数位创新的新要求。通过对19个专家访谈的定性编码方法分析，本研究揭示了组织适应的进展，并提供了帮助企业选择合适方法的标准。公司通常从反应性的、短期的、特别的解决方案开始，然后发展到集成的、主动的模型。最优方法取决于与公司和创新理念相关的影响因素，如公司战略、风险承受能力、数字化程度、资源可用性以及创新与核心业务的一致性。该研究为数字创新战略的选择提供了系统框架，为组织结构与数字需求的协调提供了实践指导，并为未来的纵向和跨行业研究方向提出了建议。

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引用次数: 0

Uncovering motivations for innovation in urban commuting: A segmentation of Jakarta’s motorcyclists 揭示城市通勤创新的动机：雅加达摩托车手的细分

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-08-12 DOI: 10.1016/j.joitmc.2025.100614

Dedy Firmansyah , Muhammad Zudhy Irawan , Mukhammad Rizka Fahmi Amrozi , Imam Muthohar

Urban commuting in Jakarta, Indonesia, remains heavily reliant on motorcycles, yet riders exhibit diverse travel behaviors and underlying motivations. Drawing on survey data from 1143 commuters from Bogor, Depok, Tangerang, and Bekasi to Jakarta, this study first applies latent class cluster analysis to identify four distinct user segments: solo, regular medium-distance academic commuters; solo, regular medium-distance work commuters; solo, regular long-distance work commuters; and accompanied, occasional long-distance social/recreational commuters. This study then employs the Rasch model to quantify each group’s latent motivational drivers across twelve functional and psychosocial factors. Results indicate that support for unplanned trips is the strongest motivator for academic and long-distance work riders; ease of navigation underpins choices by academic, medium-distance work, and recreational commuters; traffic-congestion avoidance drives academic and recreational users; departure-time flexibility is paramount for medium-distance workers; and personal independence ranks highest for long-distance workers. By contrast, predictable travel time, perceived safety, and limited public-transport coverage consistently rank as weak motivators across all segments. Based on these insights, this study recommends tailored and innovative interventions, such as app-based microtransit for on-demand flexibility, park-and-ride facilities for long-distance commuters, last-mile e-micromobility services for medium-distance users, and integrated campus-shuttle systems for students, complemented by enhanced real-time information and targeted safety measures. Collectively, these strategies aim to match motorcycles’ core advantages while guiding riders toward more sustainable, multimodal options.

印度尼西亚雅加达的城市通勤仍然严重依赖摩托车，但骑手表现出不同的出行行为和潜在动机。根据从茂物、德波、丹格朗和别加西到雅加达的1143名通勤者的调查数据，本研究首先应用潜在类聚类分析确定了四种不同的用户群体：单身、定期中距离学术通勤者；独自一人，定期中距离通勤者；独自一人，定期长途通勤者；偶尔有长途社交/娱乐通勤者陪伴。然后，本研究采用Rasch模型来量化每个群体在12个功能和社会心理因素中的潜在动机驱动因素。结果表明，支持计划外旅行是学术和长途工作骑手的最大激励因素；方便的导航支持了学术、中距离工作和休闲通勤者的选择；为避免交通挤塞，驱使学术和娱乐使用者；离港时间的灵活性对中等距离的员工来说至关重要；远程工作者的个人独立性排名最高。相比之下，可预测的旅行时间、可感知的安全性和有限的公共交通覆盖范围在所有细分市场中一直被列为弱激励因素。基于这些见解，本研究推荐了量身定制的创新干预措施，例如基于应用程序的按需灵活性微交通，为长途通勤者提供停车换乘设施，为中距离用户提供最后一英里电子微交通服务，为学生提供综合校园班车系统，并辅以增强的实时信息和有针对性的安全措施。总的来说，这些策略旨在匹配摩托车的核心优势，同时引导骑手走向更可持续的多模式选择。

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引用次数: 0

A hybrid approach to financial big data analysis using extended ensemble learning and optimized spark streaming 使用扩展集成学习和优化火花流的金融大数据分析混合方法

Q1 Economics, Econometrics and Finance

Journal of Open Innovation: Technology, Market, and Complexity

Pub Date : 2025-08-08 DOI: 10.1016/j.joitmc.2025.100602

Muhammad Babar

The financial sector faces mounting challenges in processing vast volumes of high-velocity data to support intelligent, real-time decision-making. Traditional machine learning models often fall short in accuracy, scalability, and responsiveness when dealing with large, dynamic financial datasets. This study presents a hybrid architecture that integrates extended ensemble learning with an optimized big data processing pipeline based on Apache Spark Streaming to address these limitations. The core ensemble combines K-Nearest Neighbor (KNN), Support Vector Machine (SVM), and K-Neighbors Classifier (KNC) to improve classification robustness and generalization. The system is designed for distributed and parallel execution, leveraging Spark’s map-reduce capabilities for high-throughput, low-latency data handling. Empirical evaluations using the Portuguese Bank Marketing dataset demonstrate that the proposed architecture achieves a high prediction accuracy of 90.9%, outperforming individual models such as Logistic Regression, SVM, and Random Forest. The ensemble model also reports a mean absolute error (MAE) of 0.023 and a mean squared error (MSE) of 0.0018. Regarding system performance, it processes 10,000 records per second with an average latency of 150 ms and maintains memory usage around 4GB, making it suitable for real-time financial analytics. The proposed architecture significantly enhances precision in predicting client behaviors, such as loan subscription decisions, and supports robust, scalable financial decision-making. This research offers valuable insights for integrating ensemble learning with big data technologies in FinTech, enabling more accurate, transparent, and efficient financial systems.

金融部门在处理大量高速数据以支持智能、实时决策方面面临着越来越大的挑战。在处理大型动态金融数据集时，传统的机器学习模型往往在准确性、可扩展性和响应性方面存在不足。本研究提出了一种混合架构，将扩展的集成学习与基于Apache Spark Streaming的优化大数据处理管道集成在一起，以解决这些限制。该核心集成将k近邻（KNN）、支持向量机（SVM）和k近邻分类器（KNC）相结合，提高了分类的鲁棒性和泛化性。该系统是为分布式和并行执行而设计的，利用Spark的map-reduce功能来实现高吞吐量、低延迟的数据处理。使用葡萄牙银行营销数据集的经验评估表明，所提出的架构实现了90.9%的高预测精度，优于逻辑回归，支持向量机和随机森林等单个模型。该集成模型还报告了平均绝对误差（MAE）为0.023，均方误差（MSE）为0.0018。在系统性能方面，它每秒处理10,000条记录，平均延迟为150毫秒，内存使用保持在4GB左右，适合实时财务分析。所提出的体系结构显著提高了预测客户行为（如贷款订阅决策）的精度，并支持健壮的、可伸缩的财务决策。这项研究为将集成学习与金融科技中的大数据技术相结合，实现更准确、透明和高效的金融系统提供了宝贵的见解。

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引用次数: 0