Information & Management最新文献_第6页

Effect of cover image content orientation on crowdfunding performance: The role of narrative emotion and campaign nature 封面图片内容导向对众筹绩效的影响：叙事情感和活动性质的作用

IF 8.2 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information & Management

Pub Date : 2025-09-28 DOI: 10.1016/j.im.2025.104257

Wei Wang , Yuan Qin , Xiaohui Zheng , Jian Mou

This study investigates the impact of the cover image content orientation of crowdfunding campaigns on funding performance. Considering 19,611 projects from Indiegogo as corpus, cover image content orientation was categorized into three cases using the classical grounded theory coding process. A deep learning model was employed to classify the images. Linguistic inquiry and word count and naïve Bayes were used to quantify the emotion of the project narratives and a logit model was adopted to estimate the impact of cover image content orientation on funding performance. Both visual and nonvisual signals were incorporated into a model based on signaling theory. The results suggest that product-oriented images have a more positive effect on funding performance than other images, and narratives’ emotions promote campaign success. Furthermore, cover image content orientations with emotional narratives have a greater impact on funding performance than those with neutral narratives. Additionally, cover image content orientation has a stronger impact on funding performance for technological and innovative campaigns. This study informs the application of signaling theory in the field of crowdfunding from a visual perspective and provides practical implications for entrepreneurs seeking to create effective campaigns.

本研究考察了众筹活动封面图片内容取向对融资绩效的影响。以Indiegogo的19611个项目为语料库，采用经典扎根理论编码方法将封面图像内容定向分为三种情况。采用深度学习模型对图像进行分类。使用语言探究和字数统计以及naïve贝叶斯来量化项目叙事的情感，并采用logit模型来估计封面图像内容取向对资助绩效的影响。在信号理论的基础上，将视觉和非视觉信号整合到一个模型中。结果表明，以产品为导向的形象比其他形象对筹资绩效有更积极的影响，叙述者的情绪促进了活动的成功。此外，具有情感叙事的封面图片内容取向对筹资绩效的影响大于中性叙事的封面图片内容取向。此外，封面图片内容导向对技术和创新活动的融资绩效有更强的影响。本研究从视觉角度介绍了信号理论在众筹领域的应用，并为寻求有效活动的企业家提供了实践启示。

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引用次数: 0

The information processing of fake news: How intervention order influences perception over time 假新闻的信息加工：干预顺序如何随时间影响感知

IF 8.2 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information & Management

Pub Date : 2025-09-25 DOI: 10.1016/j.im.2025.104256

Christian Olenberger , Manfred Schoch , Lena Utz

Our ability to recognize fake news is flawed, with serious negative consequences for individuals, organizations, and society. Researchers and practitioners have developed different interventions against fake news, such as warnings and additional information, with mixed results. Yet social media users remain vulnerable to fake news because they consume information hedonically. To design more effective interventions, we must better understand how social media users process information cognitively. Drawing on dual process theory, we hypothesize that the sequence of exposure to information matters, and that it is beneficial to present interventions with warnings and additional information after exposure to fake news rather than before. We argue that questioning false information typically requires more cognitive resources than users are willing to allocate during casual browsing. In a two-week multiphase experiment, participants were exposed to fake news and interventions in different sequences. We compared the results across groups and multiple time points through statistical testing. The results show that introducing an intervention after a fake news story leads to a lower adoption of fake news into social media users’ mental models and that the fake news’s believability is then lowest. However, the effect fades over time without repeated exposure to interventions. Our findings offer new insights into how timing and cognitive effort influence the effectiveness of fake news interventions. For practitioners, we provide recommendations for designing effective interventions against fake news.

我们识别假新闻的能力是有缺陷的，给个人、组织和社会带来了严重的负面后果。研究人员和从业者已经开发了不同的针对假新闻的干预措施，例如警告和附加信息，结果好坏参半。然而，社交媒体用户仍然容易受到假新闻的影响，因为他们以享乐的方式消费信息。为了设计更有效的干预措施，我们必须更好地了解社交媒体用户如何以认知方式处理信息。根据双过程理论，我们假设接触信息的顺序很重要，并且在接触假新闻之后而不是之前提供警告和额外信息的干预措施是有益的。我们认为，质疑虚假信息通常需要比用户在随意浏览时愿意分配的更多的认知资源。在为期两周的多阶段实验中，参与者以不同的顺序接触假新闻和干预措施。我们通过统计检验比较各组和多个时间点的结果。结果表明，在假新闻报道后引入干预措施，导致社交媒体用户对假新闻的心理模型接受程度较低，假新闻的可信度最低。然而，如果不反复接触干预措施，效果会随着时间的推移而减弱。我们的研究结果为时间和认知努力如何影响假新闻干预的有效性提供了新的见解。对于从业者，我们提供了设计有效干预假新闻的建议。

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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

Information & Management

Pub 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

Diving into recession: the collective knowledge of online users as an early warning system for recessionary expectations 陷入衰退：在线用户的集体知识作为衰退预期的早期预警系统

IF 8.2 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information & Management

Pub Date : 2025-09-08 DOI: 10.1016/j.im.2025.104252

Kadhim Hayawi , Sakib Shahriar , Sujith Samuel Mathew , Efstathios Polyzos , Kaustuv Kanti Ganguli

As concerns about economic downturns manifest in online discussions, we investigate whether sentiment extracted from social media can serve as an early warning signal for recessionary pressures. Using a dataset of Twitter (X) posts related to economic prospects, we apply a range of sentiment analysis techniques, including a lexicon and rule-based method (VADER) and deep learning approaches (GPT and BERT). We assess the relationship between online sentiment and key recession indicators, such as the yield curve and GDPNow forecasts, using a combination of econometric and machine learning methods. In addition, we perform a comparative evaluation of sentiment classification techniques, incorporating both traditional models and deep learning architectures. Our results confirm that Twitter discussions precede changes in recessionary indicators and can thus provide forward-looking insights into economic sentiment. Furthermore, the comparative analysis reveals variations in sentiment detection across different methodologies, emphasizing the importance of selecting appropriate approaches in economic forecasting.

由于对经济衰退的担忧在网上讨论中表现出来，我们调查了从社交媒体中提取的情绪是否可以作为经济衰退压力的早期预警信号。使用与经济前景相关的Twitter (X)帖子数据集，我们应用了一系列情感分析技术，包括基于词典和规则的方法（VADER）和深度学习方法（GPT和BERT）。我们使用计量经济学和机器学习方法的组合来评估在线情绪与关键衰退指标（如收益率曲线和GDPNow预测）之间的关系。此外，我们对情感分类技术进行了比较评估，结合了传统模型和深度学习架构。我们的研究结果证实，推特讨论先于衰退指标的变化，因此可以提供对经济情绪的前瞻性见解。此外，对比分析揭示了不同方法在情绪检测方面的差异，强调了在经济预测中选择合适方法的重要性。

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引用次数: 0

Value co-creation in a digital ecosystem: Exploring autonomous co-creation in a digital influencer ecosystem 数字生态系统中的价值共同创造：探索数字影响者生态系统中的自主共同创造

IF 8.2 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information & Management

Pub Date : 2025-09-08 DOI: 10.1016/j.im.2025.104251

Carmen Leong , Wilson Hua , Xiao Xiao , Jie Yu , Yawen Zhou

Value co-creation underpins the symbiotic relationships of digital ecosystems. Many IS studies have focused on sponsored co-creation facilitated by a focal firm. There is a limited understanding of how co-creation can happen in an ecosystem without a focal firm. Building on an in-depth case study, we elaborate on the theoretical notion of autonomous digital co-creation. We propose two contributions: (1) In comparison to the centralized, collaborative, and facilitated nature of sponsored co-creation, our findings reveal the nature of autonomous digital co-creation characterized as distributed, cooperative, and emergent; (2) through an ecosystem-based analysis, this study extends the predominantly dyadic focus of existing value co-creation literature.

共同创造价值是数字生态系统共生关系的基础。许多信息系统研究都集中在由焦点公司推动的赞助共同创造上。对于在没有焦点公司的生态系统中如何实现共同创造，人们的理解有限。在深入案例研究的基础上，我们详细阐述了自主数字共同创造的理论概念。我们提出了两个贡献：(1)与赞助式共同创造的中心化、合作化和便利性相比，我们的研究结果揭示了自主式数字共同创造的分布式、合作化和涌现性特征；(2)通过基于生态系统的分析，本研究扩展了现有价值共同创造文献中以二元为主的关注。

引用次数: 0

Topic diversity and review usefulness: A text-based analysis 主题多样性与评论有用性：基于文本的分析

IF 8.2 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information & Management

Pub Date : 2025-09-01 DOI: 10.1016/j.im.2025.104243

Xixi Li , Wenqi Zhou , Wenjing Duan , Huayi Li

While scholars and managers have long queried how a review message can be useful, the e-word-of-mouth (eWOM) literature yields inconclusive findings. Our study approaches this classic research question from the novel angle of diversity and investigate how topic diversity of online reviews affect review usefulness. Specifically, topic diversity manifests in both topic variety, the extent to which different topics are discussed in a review message, and content distribution across topics, the extent to which content is distributed across different topics. We leverage the aspect-based topic modeling technique to uncover the extent of different topics discussed in individual review messages as the nested subunits and operationalize topic variety and content distribution as two main unit-level predictors of review usefulness. This text-based approach helps analyze about 200k restaurant reviews from Yelp.com and generates six different topics relating to restaurant reviews. Results reveal that (1) on average, topic variety positively affected review usefulness, while content distribution across topics did not; (2) however, when topic variety is high (low), the impact of content distribution on review usefulness is significant and positive (significant and negative). Our study contributes to the e-WOM literature by offering new knowledge regarding topic diversity and review usefulness.

虽然学者和管理人员长期以来一直质疑评论信息如何有用，但电子口碑（eWOM）文献给出了不确定的结果。本研究从多样性的新角度切入这一经典研究问题，探讨网络评论的主题多样性对评论有用性的影响。具体来说，主题多样性体现在主题多样性和内容跨主题分布两方面，前者是指审阅消息中讨论不同主题的程度，后者是指内容跨主题分布的程度。我们利用基于方面的主题建模技术来揭示作为嵌套子单元的各个审查消息中讨论的不同主题的范围，并将主题多样性和内容分布作为审查有用性的两个主要单元级预测因子进行操作。这种基于文本的方法有助于分析来自Yelp.com的大约20万条餐馆评论，并生成与餐馆评论相关的六个不同主题。结果表明：(1)平均而言，话题多样性对评论有用性有正向影响，而内容分布对评论有用性无正向影响；(2)然而，当话题多样性高（低）时，内容分布对评论有用性的影响显著且正（显著和负）。我们的研究通过提供关于主题多样性和评论有用性的新知识，为电子口碑文献做出了贡献。

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引用次数: 0

Token fraud identification and implications for post-crowdfunding performance 代币欺诈识别及其对后众筹绩效的影响

IF 8.2 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information & Management

Pub Date : 2025-09-01 DOI: 10.1016/j.im.2025.104242

Ziyi Xiong , Rong Liu , Hemang Subramanian

Tokens issued by emerging Web3 applications serve multiple roles, including crowdfunding, payment, and governance, during the development of these applications. However, Web3 token fraud damages the trust of stakeholders, potentially contributing to the failure of these applications. We present an end-to-end mechanism for identifying wallet accounts suspected of Web3 token fraud and analyze the impact of such fraud on the performance of Web3 applications post-crowdfunding. First, we develop novel graph neural network models to identify fraudulent wallet accounts within evolving on-chain transaction networks using a crowd-reported fraud dataset. Next, we construct a dynamic ex ante fraud risk profile for each Web3 application by aggregating account-level fraud predictions. Finally, we evaluate the impact of risk profiles on Web3 application performance. Our results indicate a nuanced effect of Web3 token fraud. Web3 token fraud influences both application usage and user base expansion negatively. A prior surge in application usage may intensify the risk of token fraud, while earlier user base expansion can potentially alleviate this risk.

新兴Web3应用程序发行的令牌在这些应用程序的开发过程中扮演多种角色，包括众筹、支付和治理。然而，Web3令牌欺诈损害了利益相关者的信任，可能导致这些应用程序的失败。我们提出了一种端到端机制来识别涉嫌Web3代币欺诈的钱包账户，并分析了这种欺诈对Web3应用程序众筹后性能的影响。首先，我们开发了新的图神经网络模型，使用人群报告的欺诈数据集来识别不断发展的链上交易网络中的欺诈钱包账户。接下来，我们通过汇总帐户级欺诈预测，为每个Web3应用程序构建动态事前欺诈风险配置文件。最后，我们评估了风险概况对Web3应用程序性能的影响。我们的结果表明Web3令牌欺诈的微妙影响。Web3令牌欺诈对应用程序使用和用户基础扩展都有负面影响。应用程序使用的先前激增可能会加剧令牌欺诈的风险，而早期的用户群扩展可能会减轻这种风险。

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引用次数: 0

How does buffering-bridging alignment influence supply chain resilience? A polynomial regression analysis 缓冲-桥接对齐如何影响供应链弹性？多项式回归分析

IF 8.2 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information & Management

Pub Date : 2025-08-28 DOI: 10.1016/j.im.2025.104241

Shaobo Wei , Yuqing Wu , Xiayu Chen , Ruolin Ding , Hua Liu

Although supply chain resilience has been suggested as a critical factor in coping with supply chain disruptions, our understanding of what factors influence supply chain resilience remains limited. Drawing upon resource orchestration theory, this study examines how a firm’s buffering-bridging alignment influences supply chain resilience and how this relationship is further moderated by the firm’s balanced and combined information technology (IT) capability. Using match-paired data from 531 Chinese firms, we employ polynomial regression analysis and response surface methodology to test our model. The findings reveal a positive relationship between buffering-bridging alignment and supply chain resilience, while a negative relationship between buffering-bridging misalignment and supply chain resilience. Furthermore, we find that balanced IT capability strengthens the positive relationship between buffering-bridging alignment and resilience yet exacerbates the negative relationship between buffering-bridging misalignment and resilience. However, we do not find a significant moderating role of combined IT capability on the relationship between buffering-bridging alignment or misalignment and supply chain resilience. This study represents one of the initial explorations into the impact of buffering-bridging alignment and structural IT capability on supply chain resilience, offering both theoretical insights and practical implications for the information systems and supply chain literature.

虽然供应链弹性已被认为是应对供应链中断的关键因素，但我们对影响供应链弹性的因素的理解仍然有限。利用资源编排理论，本研究考察了企业的缓冲-桥接对齐如何影响供应链弹性，以及这种关系如何被企业的平衡和组合信息技术（IT）能力进一步调节。利用531家中国企业的配对数据，我们采用多项式回归分析和响应面方法来检验我们的模型。研究发现，缓冲桥接与供应链弹性之间存在正相关关系，而缓冲桥接偏差与供应链弹性之间存在负相关关系。此外，我们发现平衡的IT能力增强了缓冲桥接一致性与弹性之间的正相关关系，但加剧了缓冲桥接偏差与弹性之间的负相关关系。然而，我们没有发现组合IT能力对缓冲-桥接对齐或错位与供应链弹性之间的关系有显著的调节作用。本研究代表了缓冲-桥接对齐和结构IT能力对供应链弹性影响的初步探索之一，为信息系统和供应链文献提供了理论见解和实践意义。

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引用次数: 0

“Fight for me and I will be with you”: How product deciphering app digital activism influences user loyalty “为我而战，我将与你同在”：产品解读应用数字激进主义如何影响用户忠诚度

IF 8.2 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information & Management

Pub Date : 2025-08-28 DOI: 10.1016/j.im.2025.104240

Richard Huaman-Ramirez , Aranzazu Gaztelumendi , Zeeshan A. Bhatti , Francisco Guzman , Jean Pfiffelmann

Although the use of product deciphering applications (PDAs)—such as Yuka and Fooducate—is becoming increasingly common, there remains a lack of research on how users perceive these apps, and specifically how PDAs’ perceived digital activism influences user loyalty. PDAs are mobile applications that allow users to scan the composition or contents of products, providing precise information about how these products may affect their health. However, users also perceive these PDAs as engaging in digital activism: advocating for users by actively promoting significant change regarding (potentially) unethical practices by certain product manufacturers. This paper investigates the mechanisms (i.e., perceived app authenticity and self-app connection) and conditions (i.e., political ideology and health consciousness) through which perceived digital activism in PDAs affects user loyalty. Four quantitative studies were conducted in France, involving a total of 832 individuals (exploratory pre-study: N₁ = 61; confirmatory pre-study: N₂ = 122; cross-sectional study: N₃ = 403; experimental study: N₄ = 246). Data were analysed using Partial Least Squares Structural Equation Modelling, OLS regression, and ANOVA. Results show that perceived app authenticity and self-app connection both mediate the relationship between perceived digital activism and user loyalty. These mediators are further moderated by political ideology and health consciousness—i.e., the effects of perceived digital activism on user loyalty via perceived app authenticity or self-app connection are stronger for liberal than for conservative users, and stronger for high health-conscious than for low health-conscious users.

尽管产品解密应用程序（pda）的使用——如Yuka和fooduca——正变得越来越普遍，但关于用户如何看待这些应用程序，特别是pda感知的数字激进主义如何影响用户忠诚度的研究仍然缺乏。pda是一种移动应用程序，允许用户扫描产品的成分或内容，提供有关这些产品如何影响其健康的精确信息。然而，用户也认为这些pda参与了数字行动主义：通过积极推动某些产品制造商（潜在的）不道德行为的重大改变来倡导用户。本文研究了pda中感知到的数字行动主义影响用户忠诚度的机制（即感知到的应用真实性和自我应用连接）和条件（即政治意识形态和健康意识）。在法国进行了四项定量研究，共涉及832人（探索性预研究：N₁= 61；验证性预研究：N₂= 122；横断面研究：N₃= 403；实验性研究：N₄= 246）。数据分析采用偏最小二乘结构方程模型、OLS回归和方差分析。研究结果表明，应用真实性感知和应用自我连接在数字行动主义感知和用户忠诚度之间起中介作用。这些中介进一步受到政治意识形态和健康意识的制约。通过感知应用真实性或自我应用连接，感知数字激进主义对用户忠诚度的影响在自由派用户中强于保守派用户，在高健康意识用户中强于低健康意识用户。

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引用次数: 0

Unpacking the vendor–task fit in crowdsourcing contests: Antecedents of vendors’ bidding behavior and outcomes 解开众包竞赛中供应商与任务的契合：供应商竞标行为和结果的前提

IF 8.2 2区管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information & Management

Pub Date : 2025-08-27 DOI: 10.1016/j.im.2025.104239

Xiaolun Wang , Tianrun Zhao , Yuxiang (Chris) Zhao , Jie Gu

On online crowdsourcing platforms, to help employers identify the right vendor for the appropriate task from a variety of choices, it is important to evaluate the vendor–task fit (VTF), the degree to which a vendor’s competence fits a particular task. To address gaps in fit theories, we conceptualize VTF as consisting of two core dimensions – experience similarity and skill matching – based on a vendor’s experience and skills. From the perspective of a vendor’s cost–benefit analysis in crowdsourcing contests, we propose an intricate relationship between VTF, vendors’ bidding behavior (bidding prices), and bidding outcomes (winning probabilities). Using a sample of 5,141 bidding tasks collected from epwk.com from 2010 to 2023, we trained the Doc2Vec deep-learning algorithm to compute VTF. Our findings indicate that experience similarity lowers vendors’ bidding prices and improves bidding outcomes, while skill matching increases vendors’ bidding prices without affecting bidding outcomes. In addition, task complexity and capability level positively moderate the effect of experience similarity on bidding prices, whereas competition intensity has no significant effect. This study enriches theories of fit between tasks and vendors’ competencies in crowdsourcing contests, and offers practical insights for vendors, employers, and crowdsourcing platforms.

在在线众包平台上，为了帮助雇主从众多选择中找到合适的供应商来完成合适的任务，评估供应商-任务契合度（VTF）是很重要的，即供应商的能力与特定任务的契合程度。为了解决契合理论中的差距，我们将VTF概念化为基于供应商经验和技能的两个核心维度——经验相似性和技能匹配。从众包竞争中供应商成本效益分析的角度出发，提出了VTF、供应商投标行为（投标价格）和投标结果（中标概率）之间的复杂关系。使用epwk.com从2010年到2023年收集的5141个投标任务样本，我们训练Doc2Vec深度学习算法来计算VTF。研究结果表明，经验相似性降低了供应商的投标价格，提高了投标结果，而技能匹配提高了供应商的投标价格，但不影响投标结果。任务复杂性和能力水平正向调节经验相似性对投标价格的影响，而竞争强度对投标价格的影响不显著。本研究丰富了众包竞赛中任务与供应商能力匹配的理论，并为供应商、雇主和众包平台提供了实践见解。

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引用次数: 0