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Investigating the impacts of fundraisers’ self-donations on donors’ contribution in charitable crowdfunding: A warm glow perspective 慈善众筹中募捐者自我捐赠对捐赠人捐赠的影响研究:暖光视角
IF 8.2 2区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2026-03-01 Epub Date: 2025-12-30 DOI: 10.1016/j.im.2025.104300
Zhao Du , Mengxiang Li , Kanliang Wang , Bin Gu
The challenge of motivating potential donors to contribute is the primary hurdle to the success of online charitable crowdfunding. Anchoring on warm glow theory, we investigate how fundraisers’ self-donations influence donors to contribute to online charitable crowdfunding projects and examine the underlying mechanism through activating potential donors’ warm glow feeling. Using a large-scale dataset from a leading crowdfunding platform in China and a laboratory experiment, we find that fundraisers’ self-donations have a significant positive impact on potential donors’ contributions through developing their warm glow feeling. Our results show that charitable crowdfunding projects with fundraisers’ self-donations perform better in attracting donations from donors. Fundraisers’ self-donations not only improve the probability of success for charitable crowdfunding projects but also facilitates the collection of additional donations. Implications for theory and practice are discussed.
激励潜在捐赠者捐款的挑战是在线慈善众筹成功的主要障碍。本研究以暖光理论为基础,探讨了募捐者的自我捐赠如何影响捐赠者对网络慈善众筹项目的捐赠,并通过激活潜在捐赠者的暖光感来考察其潜在机制。利用国内领先的众筹平台的大规模数据集和实验室实验,我们发现,筹款人的自我捐赠通过培养他们的温暖感对潜在捐赠者的捐赠产生了显著的正影响。我们的研究结果表明,募捐者自我捐赠的慈善众筹项目在吸引捐赠者捐赠方面表现更好。募捐者的自筹不仅提高了慈善众筹项目成功的概率,也有利于募集额外的捐款。讨论了理论和实践意义。
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引用次数: 0
A reliability-enhanced deep ensemble learning framework for recommendation 一种用于推荐的可靠性增强深度集成学习框架
IF 8.2 2区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2026-03-01 Epub Date: 2025-12-22 DOI: 10.1016/j.im.2025.104296
Wenhua Li , Hongtao Li , Junpeng Guo , Weiguo Fan
With the rapid development of Internet technology, information overload has become increasingly severe. Recommendation systems, as effective information filtering tools, can provide users with personalized recommendations to reduce their decision-making costs. Although recommendation algorithms have achieved great progress in prediction accuracy with the advance of deep learning technologies, the reliability of recommendation results has been relatively underexplored. "Reliability" refers to the likelihood of users accepting the final recommended results, and it is one of the important aspects influencing user experience. Many existing recommendation systems primarily optimize predictive accuracy metrics, while relatively fewer works explicitly model the likelihood of user acceptance, leading to potential gaps in user satisfaction. To address this, we propose the deep ensemble reliable recommendation algorithm (DERA). DERA integrates reliability into both the data preprocessing and model training phases of recommendation models. Drawing on the ensemble learning concept, DERA trains multiple weak learners and employs voting to determine the final prediction result. Additionally, a data preprocessing method is designed to alleviate the imbalance of training data. Experiments on four real-world datasets demonstrate that DERA can enhance recommendation performance by considering reliability. In summary, our work presents a novel framework to integrate reliability estimation into the training pipeline without extra side-information.
随着互联网技术的飞速发展,信息超载问题日益严重。推荐系统作为有效的信息过滤工具,可以为用户提供个性化的推荐,降低用户的决策成本。虽然随着深度学习技术的进步,推荐算法在预测精度上取得了很大的进步,但对推荐结果的可靠性的探索相对不足。“可靠性”是指用户接受最终推荐结果的可能性,是影响用户体验的重要方面之一。许多现有的推荐系统主要优化预测精度指标,而相对较少的工作明确地模拟用户接受的可能性,导致用户满意度的潜在差距。为了解决这个问题,我们提出了深度集成可靠推荐算法(DERA)。DERA将可靠性集成到推荐模型的数据预处理和模型训练阶段。利用集成学习的概念,DERA训练多个弱学习器,并通过投票来确定最终的预测结果。此外,还设计了一种数据预处理方法,以缓解训练数据的不平衡性。在四个真实数据集上的实验表明,DERA可以通过考虑可靠性来提高推荐性能。总之,我们的工作提出了一个新的框架,将可靠性估计集成到训练管道中,而不需要额外的附加信息。
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引用次数: 0
Relating digital platform synergy and SME agility: The roles of organizational inertia and modularity 数字平台协同与中小企业敏捷性:组织惯性和模块化的作用
IF 8.2 2区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2026-03-01 Epub Date: 2025-11-24 DOI: 10.1016/j.im.2025.104279
Jingkun Bai , Yifan Zha , Haoxiang Zhang , Chengqi Wang , Eva Mavroudi
Organizational agility is vital for the survival of small and medium-sized enterprises (SMEs) in turbulent environments. While several studies have examined the role of digital platforms in shaping organizational agility, the impact of digital platform synergy on organizational agility in the context of SMEs remains underresearched. To address this gap, we examine the impact of SMEs’ digital platform synergy on their organizational agility and identify the mechanisms underlying this relationship. Using a sample of 421 Chinese manufacturing SMEs, the analysis demonstrates that digital platform synergy inhibits organizational agility. Furthermore, organizational inertia mediates this relationship, while organizational modularity negatively moderates the positive effect of digital platform synergy on organizational inertia, thereby reducing the mediating effect of organizational inertia. The study advances the growing literature on the factors influencing the agility of SMEs in digital contexts by illuminating the nuanced roles of digital platform synergy, organizational inertia, and modularity.
组织敏捷性对于中小型企业(SMEs)在动荡环境中的生存至关重要。虽然有几项研究考察了数字平台在塑造组织敏捷性方面的作用,但在中小企业背景下,数字平台协同作用对组织敏捷性的影响仍未得到充分研究。为了解决这一差距,我们研究了中小企业数字平台协同对其组织敏捷性的影响,并确定了这种关系的机制。以421家中国制造业中小企业为样本,分析表明数字平台协同效应抑制了组织敏捷性。组织惯性在这一关系中起中介作用,而组织模块化负向调节数字平台协同对组织惯性的正向作用,从而降低了组织惯性的中介作用。该研究通过阐明数字平台协同、组织惯性和模块化的微妙作用,推进了影响数字化背景下中小企业敏捷性因素的文献研究。
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引用次数: 0
Concertscapes: An investigation of the mediating and moderating mechanism driving attendance intention through the metaverse platform 情境:通过元空间平台驱动出席意愿的中介与调节机制研究
IF 8.2 2区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2026-03-01 Epub Date: 2025-11-24 DOI: 10.1016/j.im.2025.104278
Raras Kirana Wandira , Gwo-Ji Sheen , Aida Loussaief , Julian Ming Sung Cheng , Chris Zeng Wei Luo
The virtual world-based metaverse could revolutionize how individuals experience reality by extending to the physical world and creating a seamless bridge for interaction between digital and tangible realms. Virtualizing live concerts to digital format in a virtual-physical integrated metaverse environment, compared to traditional virtual settings, provides a new paradigm for participating in a more immersive and interactive digital concert. Mainly drawing upon the Cognitive Absorption Theory and complemented by the Process Virtualization Theory, this research proposes a multi-stage framework to investigate the mechanism and underlying processes related to metaverse concert participation under contingent situations. This research applies a multi-survey approach, with two sequential quantitative studies—one distributed in Indonesia using Poplite and a subsequent survey in the United States through MTurk. The consistent findings from the two studies provide robust evidence for the roles of participants’ intrinsic motivations and the characteristics of the virtualization mechanism as vital determinants to influence the virtualizability of the metaverse concert process, leading to higher concert participation intention. Furthermore, concert performance risk is proven to act as a moderator in the relationship between process virtualizability and intention.
基于虚拟世界的虚拟世界可以通过扩展到物理世界,并为数字和有形领域之间的互动创造一个无缝的桥梁,从而彻底改变个人体验现实的方式。与传统的虚拟环境相比,在虚拟物理集成的虚拟环境中将现场音乐会虚拟化为数字格式,为参与更具沉浸感和互动性的数字音乐会提供了一种新的范例。本研究主要以认知吸收理论为基础,以过程虚拟化理论为补充,提出了一个多阶段的框架来研究偶然情况下元宇宙音乐会参与的机制和潜在过程。本研究采用多重调查方法,包括两项连续的定量研究——一项在印度尼西亚使用Poplite,另一项随后在美国通过MTurk进行调查。两项研究的一致结果为参与者的内在动机和虚拟化机制的特征是影响虚拟音乐会过程的重要决定因素,从而导致更高的音乐会参与意愿提供了有力的证据。此外,音乐会表演风险被证明在过程虚拟化和意图之间的关系中起调节作用。
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引用次数: 0
Can digitalization drive corporate transparency? Exploring the impact of digital transformation on information disclosure quality 数字化能提高公司的透明度吗?探讨数字化转型对信息披露质量的影响
IF 8.2 2区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2026-03-01 Epub Date: 2025-12-23 DOI: 10.1016/j.im.2025.104297
Tao Wang , Chen Chen , Ximeng Jia
With the rapid development of digital technologies, enterprises increasingly regard digital transformation as a key strategic choice, and its impact on the quality of information disclosure has attracted growing attention. This study combines theoretical analysis with empirical testing to examine the effects of digital transformation on corporate information disclosure quality and its underlying mechanisms systematically. The results indicate that digital transformation improves disclosure quality significantly, a conclusion that remains robust across multiple empirical tests. Further analysis reveals that market competition and corporate governance strength enhance this positive effect significantly. Digital transformation improves disclosure quality primarily through three pathways: reducing information asymmetry, mitigating agency problems, and improving resource allocation efficiency. By examining the moderating effects on these theoretical mechanisms, the study finds that the moderating variables mainly amplify the impact of digital transformation by influencing the mechanisms of reducing information asymmetry and enhancing resource allocation efficiency. In addition, different types of digital technologies demonstrate distinct transmission mechanisms, with the cognitive-intelligence and support-system layers primarily enhancing disclosure by alleviating information asymmetry, while the implementation layer plays a more critical role in optimizing resource allocation. This study enriches the theoretical framework linking digital transformation and information disclosure, uncovers the mechanisms and boundary conditions of this relationship, and offers valuable insights for improving corporate transparency and optimizing institutional design in capital markets.
随着数字技术的快速发展,企业越来越将数字化转型作为关键的战略选择,其对信息披露质量的影响越来越受到关注。本研究采用理论分析与实证检验相结合的方法,系统地考察了数字化转型对企业信息披露质量的影响及其潜在机制。结果表明,数字化转型显著提高了信息披露质量,这一结论在多次实证检验中仍然是稳健的。进一步分析发现,市场竞争和公司治理强度显著增强了这一正向效应。数字化转型主要通过减少信息不对称、缓解代理问题和提高资源配置效率三个途径提高信息披露质量。通过考察对这些理论机制的调节作用,研究发现,调节变量主要通过影响减少信息不对称和提高资源配置效率的机制来放大数字化转型的影响。此外,不同类型的数字技术表现出不同的传播机制,认知智能层和支持系统层主要通过缓解信息不对称来增强信息披露,而实施层在优化资源配置方面起着更为关键的作用。本研究丰富了数字化转型与信息披露联系的理论框架,揭示了二者关系的机制和边界条件,为资本市场提高公司透明度和优化制度设计提供了有价值的见解。
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引用次数: 0
The marketing effects of live streaming in online marketplaces 在线市场中直播的营销效果
IF 8.2 2区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2026-03-01 Epub Date: 2025-12-03 DOI: 10.1016/j.im.2025.104288
Jianping Zheng , Youwei Wang , Yifan Dou , Hong Ling
With the development of live-streaming e-commerce, brands are experimenting with live streaming as a new sales channel. However, the real-time nature of live streaming, coupled with promotional content and a large volume of products, may overwhelm viewers and diminish the brand’s benefits. From the dual perspectives of information overload theory and trust theory, this paper utilizes the sales data of beauty and skincare products during the “Double 11″ shopping festival of Taobao in the year 2020 and examines the effects of the duration of product introduction and the number of listed products on sales performance for different live-streaming modes. The empirical results reveal that the duration of product introduction affects brand online stores’ sales performance positively, while the number of listed products affects sales performance negatively. In addition, compared with Internet celebrity live streaming, the positive effect of the duration of product introduction on sales performance is stronger in the brand shop live-streaming mode. Compared with brand shop live streaming, the negative effect of the number of listed products on sales performance is stronger in the Internet celebrity live-streaming mode.
随着直播电商的发展,各大品牌纷纷尝试将直播作为新的销售渠道。然而,直播的实时性,再加上促销内容和大量的产品,可能会让观众不知所措,削弱品牌的利益。本文从信息过载理论和信任理论的双重视角,利用2020年淘宝“双11″”购物节期间的美容护肤品销售数据,考察了不同直播模式下产品推出时长和上架数量对销售业绩的影响。实证结果显示,产品推出时长对品牌网店的销售业绩有正向影响,产品上市数量对品牌网店的销售业绩有负向影响。此外,与网红直播相比,品牌店直播模式下产品介绍时长对销售业绩的正向影响更强。与品牌店直播相比,网红直播模式下上市产品数量对销售业绩的负面影响更大。
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引用次数: 0
Next output is better? Overgeneration effect in generative artificial intelligence interaction 下一个输出会更好吗?生成式人工智能交互中的过代效应
IF 8.2 2区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2026-03-01 Epub Date: 2025-12-17 DOI: 10.1016/j.im.2025.104294
Hui Yang , Haoyuan Zheng , Lingfei Lu , Peng Hu
People increasingly rely on generative AI systems for content creation. However, the uncertainty of AI-generated responses poses new challenges for effective usage. A common strategy is clicking “regenerate” in search of better outputs. Based on uncertainty reduction theory, this study develops a model to understand this phenomenon, tested using data from a large-scale survey (n = 2,582). The findings reveal an overgeneration effect, which refers to the counterproductive pattern of excessive regeneration. Response uncertainty in these systems can amplify users’ tendency to regenerate content. This effect is weaker among users with higher AI literacy. Importantly, frequent regeneration is not costless exploration, as we find that it can induce cognitive fatigue and reduce task efficiency. This study redirects attention from process-level to output-level uncertainty and introduces regeneration as a distinct behavioral mechanism with unintended consequences. Practically, the findings call for interface designs that limit excessive regeneration and guide users toward evaluating and refining existing outputs before regenerating.
人们越来越依赖生成式人工智能系统进行内容创作。然而,人工智能生成的响应的不确定性为有效使用带来了新的挑战。一个常见的策略是点击“再生”来寻找更好的产出。基于不确定性减少理论,本研究开发了一个模型来理解这一现象,并使用大规模调查(n = 2582)的数据进行了测试。研究结果揭示了过度再生效应,这是指过度再生的反生产模式。这些系统中的响应不确定性会放大用户更新内容的倾向。这种影响在人工智能水平较高的用户中较弱。重要的是,频繁的再生并不是没有代价的探索,因为我们发现它会引起认知疲劳,降低任务效率。本研究将注意力从过程层面转向产出层面的不确定性,并将再生作为一种具有意外后果的独特行为机制引入研究。实际上,研究结果要求界面设计限制过度再生,并引导用户在再生之前评估和改进现有的输出。
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引用次数: 0
Towards developing fake and satire news detection policies using component-based SEM and interpersonal detection theory 利用基于组件的扫描电镜和人际关系检测理论开发假讽刺新闻检测策略
IF 8.2 2区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2026-03-01 Epub Date: 2025-12-16 DOI: 10.1016/j.im.2025.104293
Alireza Farnoush , Ashish Gupta , Han Li , Jose Benitez , Wenting (Kayla) Jiang
The permeation of misinformation, recently fueled by the dark power of artificial intelligence (AI) and analytics, is raising serious concerns among the public. Current studies on misinformation detection in the domain of digital news media focus primarily on accurately predicting fake news using various machine learning techniques. Satire, as another potential source for misinformation has received relatively less research attention. There is a need for more theory-based IS research to decipher the writing strategies accounting for fake news and satire. In this study, we extend interpersonal deception theory (IDT) to examine how fake and satirical news can be distinguished from true news using linguistics-based writing strategies. The research hypotheses were tested using text analytics, machine learning, and component-based SEM analysis. Our findings suggest that diversity in word usage is the dominant strategy used by fake and satirical news writers. They also tend to rely on affect cues and immediacy to attract and engage their online audience. These findings align with IDT, which suggests that deceivers modify their strategies to avoid detection. Our study also has important implications for developing theory and detection policies for recognizing fake and satirical news.
最近,人工智能(AI)和分析的黑暗力量加剧了错误信息的渗透,这引起了公众的严重担忧。目前在数字新闻媒体领域对错误信息检测的研究主要集中在使用各种机器学习技术准确预测假新闻。讽刺,作为另一个潜在的错误信息来源,得到的研究关注相对较少。需要更多基于理论的信息系统研究来解读假新闻和讽刺的写作策略。在本研究中,我们扩展了人际欺骗理论(IDT)来研究如何使用基于语言学的写作策略来区分假新闻和讽刺新闻。使用文本分析、机器学习和基于组件的SEM分析对研究假设进行了测试。我们的研究结果表明,词汇使用的多样性是假新闻和讽刺新闻作者使用的主要策略。他们还倾向于依靠情感线索和即时性来吸引和吸引他们的在线观众。这些发现与IDT一致,这表明骗子会改变他们的策略以避免被发现。我们的研究也对发展识别假新闻和讽刺新闻的理论和检测政策具有重要意义。
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引用次数: 0
On the impact of expertise-task distance in an online innovation community 在线创新社区专业-任务距离的影响研究
IF 8.2 2区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2026-01-01 Epub Date: 2025-10-30 DOI: 10.1016/j.im.2025.104270
Yuling Xie , Quanwu Zhao , Heshan Sun
Knowledge co-production plays a pivotal role in online innovation communities by enabling collaborative knowledge generation. It often starts with an initial responder answering a question, and the answer is then refined by other modifiers. Operating under cognitive constraints, users cannot feasibly engage with every collaborative opportunity that arises. Yet, how they prioritize certain tasks over others—and what drives such task evaluation—remains theoretically underexplored. In this study, we introduce a novel construct, namely Expertise-Task Distance (ETD), to capture the discrepancy between a user’s professional expertise and the knowledge embedded in a task. Distinguishing between the Initial Responder’s ETD (IR_ETD) and Modifier’s ETD (M_ETD), we build a theoretical model grounded in expectancy-valence theory to explore how ETDs shape modifiers’ motivation to engage in knowledge co-production, particularly through two mechanisms: the opportunity to contribute (expectancy) and the benefits from contribution (valence). We empirically validate the research model with a dataset of 89,714 answer posts from Stack Overflow. The results reveal a quadratic (inverted U-shaped) relationship between IR_ETD and modifiers’ engagement in knowledge co-production, with maximum collaboration occurring at moderate IR_ETD levels. Furthermore, M_ETD has a direct negative effect on such engagement and negatively moderates the quadratic relationship between IR_ETD and knowledge co-production. Last, our findings demonstrate that knowledge co-production significantly enhances knowledge quality, underscoring the value of collaboration. These insights provide valuable implications for IS research and practice.
知识联合生产通过实现协作知识生成,在在线创新社区中发挥着关键作用。它通常以最初的应答者回答问题开始,然后由其他修饰语改进答案。在认知约束下操作,用户不可能参与到出现的每一个协作机会中。然而,他们如何将某些任务优先于其他任务,以及是什么推动了这种任务评估,在理论上仍未得到充分探讨。在这项研究中,我们引入了一个新的结构,即专家-任务距离(ETD),以捕捉用户的专业知识与任务中嵌入的知识之间的差异。区分初始反应者的ETD (IR_ETD)和修饰者的ETD (M_ETD),我们建立了一个基于期望价理论的理论模型,探讨ETD如何影响修饰者参与知识合作生产的动机,特别是通过两种机制:贡献机会(期望)和贡献收益(价)。我们用来自Stack Overflow的89,714个回复帖子的数据集对研究模型进行了实证验证。结果表明,IR_ETD与修饰者参与知识协同生产之间呈二次型(倒u型)关系,在适度的IR_ETD水平下出现最大的合作。此外,M_ETD对知识协同生产有直接的负向影响,并负向调节IR_ETD与知识协同生产的二次关系。最后,我们的研究结果表明,知识合作生产显著提高了知识质量,凸显了合作的价值。这些见解为IS的研究和实践提供了有价值的启示。
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引用次数: 0
Increasing immersive virtual reality platform loyalty: The role of embodiment 提高沉浸式虚拟现实平台忠诚度:体现的作用
IF 8.2 2区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2026-01-01 Epub Date: 2025-09-23 DOI: 10.1016/j.im.2025.104255
Yongqian Lin , Ayoung Suh , Christian Wagner
This research introduces embodiment as a novel driver of immersive virtual reality (VR) platform loyalty. Embodiment refers to users’ experience of inhabiting and controlling avatars’ bodies, facilitated by the real-time mapping of their physical movements onto avatars. Existing literature predominantly conceptualizes embodiment from a cognitive perspective, focusing on how users interpret their relationship with avatars mentally. However, it has largely overlooked the corporeal perspective—the role of users’ bodily practices in avatar control and virtual activity participation. To address this gap, we reconceptualize embodiment and propose its two categories, corporeal embodiment and cognitive embodiment. Building on this reconceptualization, we develop a theoretical model grounded in the embodied cognition theory and the interactionist theory of place attachment to examine the impact of embodiment on platform loyalty. Empirical results from a two-wave survey demonstrate that embodiment enhances platform loyalty through increased virtual world awareness, cognitive absorption, and virtual world attachment. This study advances the theoretical understanding of embodiment and provides practical insights for VR platform developers seeking to enhance user engagement and retention.
本研究将实身作为沉浸式虚拟实境(VR)平台忠诚度的新驱动因素。“化身”指的是用户通过将自己的身体运动实时映射到虚拟化身上,从而体验到居住和控制虚拟化身身体的体验。现有文献主要从认知角度对化身进行概念化,关注用户如何在心理上解释他们与化身的关系。然而,它在很大程度上忽视了身体的视角——用户的身体实践在虚拟角色控制和虚拟活动参与中的作用。为了解决这一差距,我们重新定义了身体体现,并提出了身体体现和认知体现两个类别。在此基础上,我们建立了一个基于具身认知理论和地方依恋互动理论的理论模型,以检验具身化对平台忠诚度的影响。两波调查的实证结果表明,具体化通过增加虚拟世界意识、认知吸收和虚拟世界依恋来增强平台忠诚度。本研究促进了对化身的理论理解,并为寻求提高用户参与度和留存率的VR平台开发者提供了实践见解。
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引用次数: 0
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