Information & Management最新文献_第7页

How to enhance antiphishing training performance? The roles of performance facilitators and message-specific coping responses 如何提升反钓鱼培训成效？性能促进者的角色和特定于消息的应对响应

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

Information & Management

Pub Date : 2025-08-09 DOI: 10.1016/j.im.2025.104234

Jungwon Kuem , Dong-Heon Kwak , Sanjay Goel

Phishing has become one of the most pervasive security threats in today’s world. Despite much research on antiphishing behavior, little attention has been paid to how performance facilitators and individuals’ phishing message-specific coping responses operate jointly to determine antiphishing training performance in the context of this training. Based on goal-setting theory and coping responses, this study was designed to develop and test a model of antiphishing training performance by focusing on performance facilitators (e.g., incentive structures, feedback, time constraints) and their interactions with message-specific coping responses (e.g., task-oriented coping, emotion-oriented coping, avoidance-oriented coping). To empirically test the proposed model, we performed three experiments on 692 subjects in the United States. Our results suggest that performance facilitators and message-specific coping responses are important predictors in understanding antiphishing training performance.

网络钓鱼已经成为当今世界最普遍的安全威胁之一。尽管对反钓鱼行为的研究很多，但很少有人关注绩效促进者和个人的特定于网络钓鱼消息的应对反应如何共同作用，以确定该培训背景下的反钓鱼培训绩效。本研究以目标设定理论和应对反应为基础，从绩效促进因素（如激励结构、反馈、时间约束）及其与特定信息应对反应（如任务导向应对、情绪导向应对、回避导向应对）的相互作用出发，构建并检验了反钓鱼培训绩效模型。为了对提出的模型进行实证检验，我们在美国对692名受试者进行了三个实验。我们的研究结果表明，绩效促进因素和特定于消息的应对反应是理解反钓鱼培训绩效的重要预测因素。

引用次数: 0

Streaming together: Unraveling social experiences in social live streaming services 一起流媒体：社交直播服务中的社交体验

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

Information & Management

Pub Date : 2025-08-05 DOI: 10.1016/j.im.2025.104230

Fangfang Hou , Zhengzhi Guan , Boying Li , Alain Yee Loong Chong

The global rise of social live streaming services (SLSS) highlights the importance of social interactions in digital spaces. This study explores previously underexamined dimensions of social experiences within SLSS, specifically investigating how social presence influences parasocial relationships (viewer–streamer connections) and viewers' sense of belonging within viewer communities. Additionally, the study examines the effects of these social experiences on viewers' behavior, notably virtual gifting and session visit durations. It also investigates the moderating roles of viewer loneliness and streamer physical attractiveness. Data from 434 respondents, analyzed through partial least squares structural equation modeling (PLS-SEM), demonstrate that social presence contributes significantly to the development of parasocial relationships and a sense of belonging. Furthermore, viewer loneliness moderates these relationships, diminishing the effects of social presence. Parasocial relationships and a sense of belonging affect viewers' visit duration positively, while parasocial relationships additionally encourage virtual gifting. Notably, streamer physical attractiveness amplifies the impact of parasocial relationships on viewers' visit duration. A supplementary lab experiment complements these findings by capturing actual viewer behavior. This research enriches social presence theory and the theory of parasocial relationship by highlighting their relevance in SLSS contexts, and highlights the significance of personal predispositions in shaping social interactions online. Practical implications are offered for SLSS practitioners to strategically enhance user engagement and platform success.

社交直播服务（SLSS）的全球兴起凸显了数字空间中社交互动的重要性。本研究探索了SLSS中先前未被充分研究的社会体验维度，特别是研究了社会存在如何影响副社会关系（观众与流媒体的联系）和观众在观众群体中的归属感。此外，该研究还考察了这些社交体验对观看者行为的影响，特别是虚拟礼物和会话访问持续时间。它还调查了观众孤独和主播身体吸引力的调节作用。通过偏最小二乘结构方程模型（PLS-SEM）对434名受访者的数据进行分析，发现社会存在对副社会关系和归属感的发展有显著贡献。此外，观众的孤独调节了这些关系，减少了社会存在的影响。副社会关系和归属感积极影响观众的访问时间，而副社会关系还鼓励虚拟礼物。值得注意的是，主播的外表吸引力放大了副社会关系对观众访问时间的影响。一个补充的实验室实验通过捕捉观众的实际行为来补充这些发现。本研究丰富了社会在场理论和副社会关系理论，强调了它们在SLSS情境中的相关性，并强调了个人倾向在塑造网络社会互动中的重要性。为SLSS从业者提供了从战略上提高用户参与度和平台成功的实际含义。

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引用次数: 0

The impact of physicians’ value co-creation behavior on their online performance in intelligent collaborative healthcare 智能协同医疗中医生价值共同创造行为对其在线绩效的影响

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

Information & Management

Pub Date : 2025-07-30 DOI: 10.1016/j.im.2025.104221

Huiyuan Liu , Yang Huang , Jian-Jun Wang

With the growth of Internet Healthcare, Intelligent Collaborative Healthcare (ICH) services are being increasingly recognized by physicians and patients as an essential channel for value co-creation. However, limited research has examined how value co-creation behaviors between physicians and patients, as well as among physicians, influence their online performance. To address this gap, we used data for 6600 physicians and 870,000 unstructured interaction records from a leading mobile health app in China. Based on trust transfer theory, we empirically examined how different types of physicians’ value co-creation behaviors influence their online performance. We also analyzed the moderating effects of physicians' status capital and disease risk. Before conducting the analysis, we categorized physicians' value co-creation behaviors into instrumental type and emotional type, with instrumental behaviors further divided into cooperative sharing and informational support. Using a combination of coarsened exact matching and staggered difference-in-differences, the results revealed that physicians’ active instrumental and emotional value co-creation behaviors positively influence their online performance. Moreover, the positive effects of cooperative sharing and informational support behaviors on their online performance are further amplified for physicians with higher status capital. When physicians address diseases with higher risk levels, the positive impact of informational support behavior on their online performance is strengthened, whereas the effects of cooperative sharing and emotional behaviors are diminished. These findings offer significant theoretical and practical implications for promoting physicians' sustained participation in ICH services and enhancing value co-creation between physicians and patients, as well as among physicians.

随着互联网医疗的发展，智能协同医疗（ICH）服务越来越被医生和患者认可为共同创造价值的重要渠道。然而，有限的研究已经调查了医生和病人之间以及医生之间的价值共同创造行为如何影响他们的在线表现。为了解决这一差距，我们使用了来自中国领先的移动健康应用程序的6600名医生和87万份非结构化交互记录的数据。基于信任转移理论，我们实证研究了不同类型医生的价值共同创造行为对其网络绩效的影响。我们还分析了医师身份、资本和疾病风险的调节作用。在进行分析之前，我们将医生的价值共同创造行为分为工具型和情感型，工具型行为又分为合作分享型和信息支持型。采用粗糙精确匹配和交错差中差相结合的方法，结果显示医生积极的工具价值和情感价值共同创造行为对其在线表现有积极影响。此外，地位资本越高的医生，合作分享行为和信息支持行为对其在线绩效的积极作用被进一步放大。当医生处理高风险疾病时，信息支持行为对其在线表现的积极影响增强，而合作分享和情感行为的影响减弱。这些研究结果为促进医生持续参与非ICH服务和加强医生与患者之间以及医生之间的价值共同创造提供了重要的理论和实践意义。

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引用次数: 0

When emotions don’t match: Effects of multimodal emotional misalignment in virtual streamers on viewer engagement 当情绪不匹配：虚拟流媒体中多模态情绪失调对观众参与的影响

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

Information & Management

Pub Date : 2025-07-27 DOI: 10.1016/j.im.2025.104222

Menghan Duan , Qi Zhang , Yueyue Zhang , Cheng Zhang

Virtual streamers have been increasingly adopted in entertainment live streaming, yet the effectiveness of their social interactions remains unexplored. Owing to the avatar abstraction of faces and the limited flexibility of facial expression, they rely primarily on vocal tone and textual content to convey emotion. Drawing on the Elaboration Likelihood Model and Cognitive Tuning Theory, this study examines how streamers' cross-modal emotional misalignment between voice and text influences viewer engagement through streamer-viewer emotional synchrony. Using moment-to-moment data and machine learning–based emotion recognition techniques, we find that greater cross-modal emotional misalignment of streamers increases viewer engagement by heightening viewers’ emotional responses to vocal cues. Additionally, the positivity of the streamer’s vocal tone strengthens the effect of cross-modal emotional misalignment on vocal–emotional synchrony. Finally, we reveal the dual effects of cross-modal emotional misalignment on viewer consumption; while it increases short-term spending on paid comments and virtual gifting, it reduces long-term commitment in the form of premium subscriptions. Our study contributes to the research on live streaming and emotional interaction, and provides practical implications for designing emotionally intelligent virtual streamers.

在娱乐直播中越来越多地采用虚拟流媒体，但其社交互动的有效性仍未得到探索。由于面部形象的抽象性和面部表情的灵活性有限，他们主要依靠语音语调和文字内容来传达情感。利用精化可能性模型和认知调节理论，本研究考察了主播在语音和文本之间的跨模态情感错位如何通过主播-观众情感同步影响观众的参与度。利用实时数据和基于机器学习的情感识别技术，我们发现，主播更大的跨模态情感错位通过增强观众对声音线索的情感反应来增加观众的参与度。此外，主播声调的积极性加强了跨模态情绪失调对声情同步的影响。最后，我们揭示了跨模态情感失调对观众消费的双重影响；虽然它增加了付费评论和虚拟礼物的短期支出，但它减少了付费订阅形式的长期承诺。本研究为直播与情感互动的研究提供了理论依据，并为设计高情商的虚拟主播提供了实践指导。

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引用次数: 0

Impulse buying in live streaming commerce: A literature review and research agenda 流媒体商业中的冲动购买：文献综述和研究议程

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

Information & Management

Pub Date : 2025-07-27 DOI: 10.1016/j.im.2025.104220

Zach W.Y. Lee , White Z.H. Liu , Tommy K.H. Chan , Gwen G.Z. Wei

Impulse buying in live streaming commerce (LSC) is an emerging phenomenon characterized by spontaneous, unplanned purchases driven by real-time social interactions. Despite increasing scholarly attention, the existing literature remains fragmented, lacking consensus on antecedents, theoretical perspectives, and outcomes. This fragmentation hinders theoretical development and accumulation of knowledge of this research stream. To address these issues, this study provides a systematic review of impulse buying in LSC, synthesizing key research trends, theoretical foundations, and methodological approaches. Drawing on the stimulus-organism-response (S-O-R) framework, we propose an integrative framework that consolidates antecedents, psychological mechanisms, and outcomes of impulse buying within LSC. This comprehensive synthesis clarifies existing inconsistencies and offers structured avenues for future research. For practitioners, our framework identifies critical platform features, streamer attributes, and consumer characteristics that influence impulse buying, enabling more effective strategies and responsible practices in LSC.

流媒体商务（LSC）中的冲动购买是一种新兴现象，其特征是由实时社交互动驱动的自发、计划外的购买。尽管越来越多的学术关注，现有的文献仍然支离破碎，缺乏共识的前提，理论观点和结果。这种碎片化阻碍了这一研究流的理论发展和知识积累。为了解决这些问题，本研究对LSC中的冲动购买进行了系统的回顾，综合了主要的研究趋势、理论基础和方法方法。在刺激-机体-反应（S-O-R）框架的基础上，我们提出了一个整合LSC中冲动购买的前因、心理机制和结果的综合框架。这种全面的综合澄清了现有的不一致，并为未来的研究提供了结构化的途径。对于从业者来说，我们的框架确定了影响冲动购买的关键平台特征、streamer属性和消费者特征，从而在LSC中实现更有效的策略和负责任的实践。

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引用次数: 0

Collaborative online shopping with virtual reality: An explorative investigation using fNIRS-based hyperscanning 协同网上购物与虚拟现实：使用基于fnir的超扫描的探索性研究

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

Information & Management

Pub Date : 2025-07-25 DOI: 10.1016/j.im.2025.104218

Tao Liu , Wenhuan Yu , Liqiang Huang , Jun Wu , Matthew Pelowski

This study explores consumers’ shopping satisfaction within an innovative shopping context—collaborative shopping with friends enabled by virtual reality (VR) technology. In the experiments, a series of scenarios was devised, and participants’ brain responses were measured using a relatively novel brain imaging technique, functional near-infrared spectroscopy. The experimental conditions included (1) shopping alone in a VR environment; (2) shopping alone without VR; (3) shopping collaboratively with a friend in a VR environment; and (4) shopping collaboratively with a friend without VR. The results reveal that collaborative shopping in a VR setting reduces selection conflict at the individual level. Participants in condition (3) exhibited significantly lower activation in the left inferior frontal gyrus (IFG) compared to those in the other three conditions, suggesting reduced conflict when making choices among alternatives. Notably, activation in the left IFG was negatively correlated with consumers’ reported shopping satisfaction. At the group level, which examined dynamic information exchange between dyads in the collaborative VR condition, higher satisfaction was associated with stronger inter-brain neural alignment over the frontoparietal junction. Theoretical and practical implications of these findings are discussed.

本研究探讨了消费者在虚拟现实（VR）技术支持下与朋友合作购物的创新购物环境中的购物满意度。在实验中，设计了一系列的场景，并使用一种相对较新的脑成像技术——功能性近红外光谱来测量参与者的大脑反应。实验条件包括：(1)在VR环境中独自购物；(2)不使用VR独自购物；(3)与朋友在VR环境中协同购物；(4)在没有VR的情况下与朋友一起购物。研究结果表明，虚拟现实环境中的协同购物减少了个人层面的选择冲突。与其他三种情况相比，条件(3)的参与者在左侧额下回（IFG）中表现出明显较低的激活，这表明在选择选项时减少了冲突。值得注意的是，左侧IFG的激活与消费者报告的购物满意度呈负相关。在小组层面，研究了协作虚拟现实条件下二人之间的动态信息交换，更高的满意度与更强的额顶叶连接处的脑间神经排列有关。讨论了这些发现的理论和实践意义。

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引用次数: 0

Suicide risk prediction for users with depression in question answering communities: A design based on deep learning 问答社区中抑郁症用户自杀风险预测：基于深度学习的设计

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

Information & Management

Pub Date : 2025-07-23 DOI: 10.1016/j.im.2025.104219

Haoyue Fan , Qiuju Yin , Junwei Kuang , Zhijun Yan

Predicting suicide risk for people with depression is crucial for preventing adverse events. Existing research has mainly focused on users’ current post in online communities, overlooking historical posts that can provide a comprehensive representation of users’ emotional changes. In this study, we propose a deep learning-based method called dynamic historical information-based suicide risk prediction (DHISRP), which integrates current and heterogeneous historical posts to capture the dynamic and complicated features of users’ post sequences for suicide risk prediction. Empirical evaluation shows the superior effectiveness of our method compared to the baseline model and emphasizes the importance of considering both current and historical posts to predict suicide risk.

预测抑郁症患者的自杀风险对于预防不良事件至关重要。现有的研究主要集中在用户在网络社区的当前帖子上，忽略了能够全面反映用户情绪变化的历史帖子。在本研究中，我们提出了一种基于深度学习的基于动态历史信息的自杀风险预测（DHISRP）方法，该方法整合当前和异构的历史帖子，捕捉用户帖子序列的动态和复杂特征，用于自杀风险预测。实证评估表明，与基线模型相比，我们的方法具有优越的有效性，并强调了考虑当前和历史职位预测自杀风险的重要性。

引用次数: 0

An empirical investigation of users’ engagement in online health communities for chronic diseases 慢性病在线健康社区用户参与的实证调查

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

Information & Management

Pub Date : 2025-07-23 DOI: 10.1016/j.im.2025.104213

Yanyan Shang , Xin (Robert) Luo

Online Health Communities (OHCs) have emerged as a pivotal resource for individuals managing chronic diseases, serving as a vital supplement to traditional healthcare delivery systems. This study seeks to investigate the dynamics of OHC engagement among users with chronic diseases at various stages of their membership lifecycle. We hypothesize that the initial objectives users have when joining OHCs significantly shape their continued involvement. By embracing the theories of Uses and Gratifications (U&G) and Social Support (SST), we examine how users' goals for seeking information and emotional support, as well as the support they receive in these areas, influence their progression through different stages of engagement. Our empirical analysis uncovers that the goal of seeking information is most closely associated with the selection stage, while the goals of seeking emotional support and receiving emotional support are more closely linked to the commitment stage. Moreover, the degree of alignment between seeking emotional support and receiving emotional support has a significant impact on users' commitment stage activities, whereas the alignment between seeking information and receiving informational support does not significantly affect users' activities. The pattern of user interaction also plays a role in shaping their commitment stage activities and moderates the relationship between emotional support and commitment stage engagement. Our findings can guide OHC moderators and healthcare providers in more effectively leveraging OHCs for healthcare-related purposes.

在线卫生社区（OHCs）已成为个人管理慢性病的关键资源，是传统卫生保健提供系统的重要补充。本研究旨在调查慢性疾病用户在其会员生命周期不同阶段的OHC参与动态。我们假设用户加入ohc时的初始目标在很大程度上决定了他们的持续参与。通过使用和满足（U&；G）和社会支持（SST）理论，我们研究了用户寻求信息和情感支持的目标，以及他们在这些领域获得的支持，如何影响他们在不同参与阶段的进展。我们的实证分析发现，寻求信息的目标与选择阶段关系最为密切，而寻求情感支持和接受情感支持的目标与承诺阶段关系更为密切。此外，寻求情感支持与接受情感支持的契合度对用户的承诺阶段活动有显著影响，而寻求信息与接受信息支持的契合度对用户的承诺阶段活动没有显著影响。用户交互模式对用户承诺阶段活动的形成也有影响，并对情感支持与承诺阶段参与之间的关系起调节作用。我们的研究结果可以指导OHC调节者和医疗保健提供者更有效地利用OHC用于医疗保健相关目的。

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引用次数: 0

When will online free product trials contribute to product sales? The impacts of trial periods 什么时候在线免费试用能促进产品销售？试用期的影响

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

Information & Management

Pub Date : 2025-07-21 DOI: 10.1016/j.im.2025.104214

Xue Yang , Yuting Xu , Lele Kang , Xueyan Yin

To enhance market penetration and expand their consumer base, many e-commerce retailers implement trial marketing strategies. Extant research has investigated the impact of product trials. However, one unique feature that has garnered little attention is that online free product trials are a process consisting of successive yet distinct trial periods. The effectiveness of trial marketing throughout this process remains an open question. Drawing on the hierarchy-of-effects theory, this study posits that consumers are sequentially exposed to the advertising effect and the word-of-mouth effect in the context of online free product trials, with the intensity of these effects varying as the trial progresses. Utilizing data from the free trial center of a leading e-commerce platform, this study demonstrates that the advertising effect of trial-product-related information on consumers decreases over different trial periods. In contrast, the word-of-mouth effect of trial-outcome-related information remains consistent across all trial periods. Additionally, heterogeneity has been found among different product types (e.g., search and experience products) and across different retailer groups (e.g., junior and senior retailers). This study modestly extends the literature on product sampling and marketing strategies and seeks to offer guidance on enhancing marketing efforts and improving resource allocation.

为了提高市场渗透率和扩大消费者群体，许多电子商务零售商实施了试点营销策略。现存的研究调查了产品试验的影响。然而，一个很少引起注意的独特特点是，在线免费产品试用是一个由连续但不同的试用期组成的过程。在整个过程中，试验营销的有效性仍然是一个悬而未决的问题。利用效应层次理论，本研究假设消费者在在线免费产品试用的背景下依次受到广告效应和口碑效应的影响，这些影响的强度随着试用的进行而变化。本研究利用某领先电子商务平台免费试用中心的数据，证明了试用产品相关信息对消费者的广告效果在不同的试用期内呈下降趋势。相反，与试验结果相关的信息的口碑效应在所有试验期间保持一致。此外，在不同的产品类型（例如，搜索和体验产品）和不同的零售商群体（例如，初级和高级零售商）之间发现了异质性。本研究适度扩展了有关产品抽样和营销策略的文献，并试图为加强营销努力和改善资源配置提供指导。

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引用次数: 0

Modeling cryptocurrency failure using deep learning approaches and a post-hoc interpretability algorithm 使用深度学习方法和事后可解释性算法建模加密货币故障

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

Information & Management

Pub Date : 2025-07-21 DOI: 10.1016/j.im.2025.104215

Peng Xie , Nan Li , Hongwei Du

The lack of enforced trading termination in the cryptocurrency market allows for an exploration of the “natural death” of tradable assets. We propose two deep learning survival models to study this phenomenon and a post-hoc interpretability algorithm to interpret the results and test the hypothesis. The proposed deep learning survival models outperform the time-dependent Cox regression in both prediction performance and interpretation flexibility. Our results indicate that lower trading volume, market capitalization, social media attention, and higher price volatility predict increased cryptocurrency “death” hazards.

加密货币市场缺乏强制交易终止，这使得人们可以探索可交易资产的“自然死亡”。我们提出了两个深度学习生存模型来研究这一现象，并提出了一个事后可解释性算法来解释结果并检验假设。所提出的深度学习生存模型在预测性能和解释灵活性方面都优于时间相关的Cox回归。我们的研究结果表明，较低的交易量、市值、社交媒体关注度和较高的价格波动性预示着加密货币“死亡”风险的增加。

引用次数: 0