Information & Management最新文献

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Sentiment-devoid lexicons: A novel method for domain-specific textual analysis in business and governance documents 无情感词典：商业和管理文件中特定领域文本分析的新方法

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

Information & Management

Pub Date : 2024-11-16 DOI: 10.1016/j.im.2024.104055

Wentao Ma , Shuk Ying Ho

Our study proposes and tests a method for developing domain-specific dictionaries tailored for textual analysis in information systems research. Traditionally, dictionaries have been widely used for content classification according to sentiment; however, we introduce an alternative approach focused on creating dictionaries from sentiment-devoid documents. We demonstrate this method by developing a dictionary specific to Securities and Exchange Commission (SEC) investigations. Analyzing 150,432 publicly available SEC documents, we gained insights into the semantics of communications between the SEC and firms. To evaluate the dictionary, we analyzed SEC comment letters to predict the likelihood of firms reporting information technology control weaknesses (ITCWs), information technology audit fees, and cyber risks. Our dictionary outperformed five benchmarking dictionaries, explaining a higher proportion of variance in ITCW likelihood, information technology audit fees, and cyber risks. This study enhances the effectiveness of dictionaries in analyzing sentiment-devoid business and governance documents and results in a specialized dictionary for SEC communications.

我们的研究提出并测试了一种为信息系统研究中的文本分析开发特定领域词典的方法。传统上，词典被广泛用于根据情感进行内容分类；然而，我们引入了另一种方法，专注于从情感缺失的文档中创建词典。我们通过开发证券交易委员会（SEC）调查专用词典来演示这种方法。通过分析 150,432 份公开的 SEC 文档，我们深入了解了 SEC 与公司之间沟通的语义。为了对词典进行评估，我们分析了 SEC 评论信，以预测公司报告信息技术控制弱点 (ITCW)、信息技术审计费用和网络风险的可能性。我们的词典优于五个基准词典，在解释 ITCW 可能性、信息技术审计费用和网络风险的差异方面占更大比例。这项研究提高了词典在分析情感缺失的业务和治理文件方面的有效性，并为美国证券交易委员会（SEC）的通信提供了专门的词典。

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引用次数: 0

Digital detox: A theoretical framework and future research directions for Information Systems 数字排毒：信息系统的理论框架和未来研究方向

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

Information & Management

Pub Date : 2024-11-16 DOI: 10.1016/j.im.2024.104068

Julian Marx , Milad Mirbabaie , Ofir Turel

Digital detox is gaining increasing attention as a method of self-control to address the adverse effects of prolonged leisure information and communication technology (ICT) use. However, the existing literature on this matter uses inconsistent terminology and reports mixed empirical results due to different understandings of what constitutes a digital detox strategy. Based on a theoretical review of existing literature, this study (1) introduces a consolidated definition of digital detox that integrates elements of synonymous concepts, (2) develops a theoretical framework for digital detox strategies, and (3) proposes a research agenda based on this framework. These contributions allow researchers to derive digital detox interventions systematically, make them comparable across studies, and thereby advance this important line of scholarly inquiry. Practitioners may build on our findings to derive individual and organizational measures such as routines and policies that prevent negative side effects of leisure ICT in both work and private life domains.

数字戒毒作为一种自我控制的方法，越来越受到人们的关注，这种方法可以解决长期闲暇使用信息与传播技术（ICT）所带来的负面影响。然而，由于对 "数字排毒 "策略的理解不同，现有文献在这方面使用的术语不一致，报告的实证结果也参差不齐。基于对现有文献的理论回顾，本研究(1) 引入了数字排毒的综合定义，整合了同义概念的要素；(2) 制定了数字排毒策略的理论框架；(3) 在此框架基础上提出了研究议程。这些贡献使研究人员能够系统地得出数字排毒干预措施，使其在不同研究中具有可比性，从而推动这一重要的学术研究方向。从业人员可以在我们研究成果的基础上，制定个人和组织措施，如常规和政策，以防止休闲信息和通信技术在工作和私人生活领域产生负面影响。

引用次数: 0

Cutting corners as a coping strategy in information technology use: Unraveling the mind's dilemma 偷工减料是信息技术使用中的一种应对策略：破解思维困境

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

Information & Management

Pub Date : 2024-11-14 DOI: 10.1016/j.im.2024.104057

Kimia Ansari , Maryam Ghasemaghaei , Ofir Turel

Modern information technology (IT) features aimed at helping users can also increase the complexity of IT. The impact of this emergent complexity on employee behavior remains unknown. Using the transactional theory of stress, we propose that people cope with IT complexity by cutting corners. An experimental study involving 130 data analysts revealed (1) data analytics tools’ complexity increases distress, (2) distress fully mediates the impact of data analytics tools’ complexity on cognitive dissonance, (3) cutting corners negatively moderates distress–cognitive dissonance relationship, and (4) cognitive dissonance reduces perceived decision quality. These findings illuminate how employees navigate challenges using modern, complex IT.

旨在帮助用户的现代信息技术（IT）功能也会增加 IT 的复杂性。这种新出现的复杂性对员工行为的影响仍是未知数。利用压力的交易理论，我们提出人们会通过偷工减料来应对信息技术的复杂性。一项涉及 130 名数据分析师的实验研究显示：（1）数据分析工具的复杂性会增加困扰；（2）困扰会完全调节数据分析工具的复杂性对认知失调的影响；（3）偷工减料会消极调节困扰与认知失调之间的关系；（4）认知失调会降低感知决策质量。这些发现揭示了员工如何利用现代复杂的信息技术应对挑战。

引用次数: 0

Understanding users’ AI manipulation intention: An empirical investigation of the antecedents in the context of AI recommendation algorithms 了解用户的人工智能操作意图：人工智能推荐算法背景下的前因实证调查

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

Information & Management

Pub Date : 2024-11-14 DOI: 10.1016/j.im.2024.104061

Taeyoung Kim, Il Im

This study examines antecedents that drive platform users to manipulate artificial intelligence (AI) recommendation algorithms. Based on the persuasion knowledge model (PKM), survey data collected from YouTube and Instagram users reveal that AI manipulation intentions are positively affected by persuasion knowledge about AI and perceived interactivity. Perceived interactivity is associated with higher perceived benefits and lower perceived costs of AI manipulation, consequently affecting manipulation intentions. A multivariate analysis of variance shows variations in intentions to use different types of AI manipulation behaviors among users with varying levels of persuasion knowledge. The research contributes to the PKM and AI-human interaction literature.

本研究探讨了促使平台用户操纵人工智能（AI）推荐算法的前因。基于说服知识模型（PKM），从YouTube和Instagram用户收集的调查数据显示，人工智能操作意愿受到人工智能说服知识和感知互动性的积极影响。感知互动性与人工智能操作的较高感知收益和较低感知成本相关，从而影响操作意图。多变量方差分析显示，不同说服知识水平的用户使用不同类型人工智能操纵行为的意愿存在差异。这项研究对 PKM 和人工智能与人的互动文献有所贡献。

引用次数: 0

Nipping trouble in the bud: A proactive tourism recommender system 将麻烦消灭在萌芽状态主动式旅游推荐系统

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

Information & Management

Pub Date : 2024-11-14 DOI: 10.1016/j.im.2024.104062

Cheng Li, Weimin Zheng

Recommender systems have been used extensively in tourism activities to aid travel decision making. However, existing systems design routes using mainly deterministic information, ignoring the negative impacts of uncertain events, likely resulting in suboptimal or impractical route designs. This study addresses this issue by integrating forecasting mechanisms into system design, thereby enabling tourists to avoid potential risks and improving travel experience. For example, in crowding avoidance, the system's performance is demonstrated through a field experiment. The results suggest that our system outperforms benchmarks and can help tourists avoid attraction crowding. The system is also applicable for other predictable uncertain events.

推荐系统已被广泛应用于旅游活动中，以辅助旅行决策。然而，现有系统主要利用确定性信息设计路线，忽略了不确定事件的负面影响，很可能导致路线设计不理想或不实用。本研究通过将预测机制融入系统设计来解决这一问题，从而使游客能够规避潜在风险，改善旅行体验。例如，在避免拥挤方面，系统的性能通过实地实验得到了验证。结果表明，我们的系统优于基准系统，可以帮助游客避免景点拥挤。该系统还适用于其他可预测的不确定事件。

引用次数: 0

Cybersecurity end-user compliance: Password management versus update compliance 网络安全最终用户合规性：密码管理与更新合规性

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

Information & Management

Pub Date : 2024-11-14 DOI: 10.1016/j.im.2024.104060

Pratim Milton Datta , Oliver Krancher

In today's world, organizations rely on cybersecurity end-user compliance as an essential practical parameter. Yet cybersecurity compliance remains a challenge, and failures are commonplace. But why? In addressing this question, we argue that ISP compliance is neither too monolithic nor too granular a construct but needs respecification. We empirically investigate cybersecurity antecedents leading to (i) user protection-centric password management and (ii) system protection-centric update compliance dimensions. The results of our survey of 241 users show differentiating behavioral strands intertwined across different types of compliance, highlighting a unique interplay of attitudes, knowledge, and social factors as antecedents to password and update compliance.

当今世界，企业将网络安全最终用户合规性作为一项重要的实用参数。然而，网络安全合规仍是一项挑战，失败也是司空见惯。原因何在？针对这一问题，我们认为互联网服务提供商合规既不是一个过于单一也不是一个过于细化的概念，而是需要重新定义。我们对网络安全的前因后果进行了实证调查，从而得出：(i) 以用户保护为中心的密码管理；(ii) 以系统保护为中心的更新合规性。我们对 241 名用户进行的调查结果显示，不同类型的合规性之间存在着相互交织的行为差异，这凸显了作为密码和更新合规性前因的态度、知识和社会因素之间独特的相互作用。

引用次数: 0

Innovation recipes for high use on four Fintech types: A configurational perspective 四种金融科技类型的高使用率创新配方：配置视角

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

Information & Management

Pub Date : 2024-11-14 DOI: 10.1016/j.im.2024.104058

Hyun-Sun Ryu , Jinyoung Min

Fintech has attracted attention based on its fusion of technology and finance; however, how its elements should be combined and configured has yet to be explored. To fill this research gap, this study investigates specific and multiple configurations of Fintech attributes that lead to high use by adopting a fuzzy-set qualitative comparative analysis. Based on the diffusion-of-innovation theory and the information systems success model, we develop a theoretical framework using three dimensions of Fintech: innovation, financial services, and information technology (IT). This study then explicates the complex nNar relationships among these three dimensions in the form of the conjunction, equifinality, and asymmetry of Fintech attributes to develop a better understanding of its use. This study provides specific configurations of these interactions among seven Fintech attributes based on four Fintech types (mobile payments, mobile remittance, peer-to-peer (P2P) lending, and crowdfunding). The findings indicate that IT plays multifaceted roles, varying from enabling to counterproductive, for all Fintech types. Our results offer guidance on effectively coordinating Fintech development and launching strategies to enhance its use in managerial practice.

金融科技因其技术与金融的融合而备受关注，然而，其要素应如何组合和配置却有待探索。为填补这一研究空白，本研究采用模糊集定性比较分析法，研究了金融科技属性的具体和多重配置，从而得出高使用率的结论。在创新扩散理论和信息系统成功模型的基础上，我们利用金融科技的三个维度：创新、金融服务和信息技术（IT），建立了一个理论框架。然后，本研究以金融科技属性的联合性、等价性和不对称性的形式，阐释了这三个维度之间复杂的 nNar 关系，从而更好地理解了金融科技的使用。本研究基于四种金融科技类型（移动支付、移动汇款、点对点（P2P）借贷和众筹），提供了七种金融科技属性之间相互作用的具体配置。研究结果表明，信息技术在所有类型的金融科技中发挥着多方面的作用，从有利到不利不等。我们的研究结果为有效协调金融科技发展和启动战略以加强其在管理实践中的应用提供了指导。

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引用次数: 0

Dynamic effects of emotions in microblogs on sharing during EID outbreaks: The contingent role of user personality traits EID爆发期间微博中的情绪对分享的动态影响：用户个性特征的偶然作用

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

Information & Management

Pub Date : 2024-11-14 DOI: 10.1016/j.im.2024.104063

Liwei Xu , Mingxing Han , Jingguo Wang , Yu Chen , Jiangnan Qiu

Our study empirically examines whether users’ personality traits accentuate or attenuate the influence of emotions in microblogs on users’ sharing behavior over time on a social media platform (Weibo in particular) during emerging infectious disease (EID) outbreaks. We develop a theoretical framework to analyze the dynamic relationship between emotions in microblogs related to EID on users’ sharing with personality traits as moderators. We collected 92,621 microblogs on COVID-19 from Sina Weibo with 501,930 sharing users for hypothesis testing. We leveraged a machine learning method in combination with the vector autoregression model to test our research model. Our results indicate that users with high levels of neuroticism, openness, and agreeableness are more likely to share immediately upon seeing microblogs with negative emotions, while those high in conscientiousness usually share after some time. This study highlights the contingent role of personality traits in the relationship between emotions expressed in microblogs and users’ act of sharing. The dynamic effects (both short-term and long-term) on sharing of emotions in microblogs are contingent upon personality traits. The results help us to understand who shares microblogs, how and why they behave when facing emotional content during EID outbreaks. Our findings enhance the understanding of user behavior on social media platforms and provide actionable insights for potential interventions in response to EID outbreaks.

我们的研究实证检验了在新发传染病（EID）爆发期间，用户的人格特质是否会随着时间的推移而增强或减弱微博中的情绪对用户在社交媒体平台（尤其是微博）上分享行为的影响。我们建立了一个理论框架，以人格特质为调节因子，分析与 EID 相关的微博中的情绪对用户分享行为的动态关系。我们从新浪微博中收集了 92,621 条关于 COVID-19 的微博，共有 501,930 位分享用户参与假设检验。我们利用机器学习方法结合向量自回归模型来检验我们的研究模型。结果表明，神经质、开放性和宜人性较高的用户在看到带有负面情绪的微博时更倾向于立即分享，而自觉性较高的用户通常会在一段时间后再分享。本研究强调了人格特质在微博所表达的情绪与用户分享行为之间关系中的偶然作用。人格特质对微博情绪分享的动态影响（包括短期和长期影响）取决于人格特质。研究结果有助于我们了解在 EID 爆发期间，谁在分享微博，他们在面对情绪内容时的行为方式和原因。我们的研究结果加深了人们对社交媒体平台上用户行为的理解，并为应对 EID 爆发的潜在干预措施提供了可操作的见解。

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引用次数: 0

Empowering crisis information extraction through actionability event schemata and domain-adaptive pre-training 通过可操作性事件图式和领域自适应预培训增强危机信息提取能力

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

Information & Management

Pub Date : 2024-11-14 DOI: 10.1016/j.im.2024.104065

Yuhao Zhang, Siaw Ling Lo, Phyo Yi Win Myint

One of the persistent challenges in crisis detection is inferring actionable information to support emergency response. Existing methods focus on situational awareness but often lack actionable insights. This study proposes a holistic approach to implementing an actionability extraction system on social media, including requirement gathering, selection of machine learning tasks, data preparation, and integration with existing resources, providing guidance for governments, civil services, emergency workers, and researchers on supplementing existing channels with actionable information from social media. Our solution leverages an actionability schema and domain-adaptive pre-training, improving upon the state-of-the-art model by 5.5 % and 10.1 % in micro and macro F1 scores.

危机检测的一个长期挑战是推断可操作的信息，以支持应急响应。现有方法侧重于态势感知，但往往缺乏可操作的见解。本研究提出了一种在社交媒体上实施可操作性提取系统的整体方法，包括需求收集、机器学习任务选择、数据准备以及与现有资源的整合，为政府、民政部门、应急工作者和研究人员从社交媒体中获取可操作信息以补充现有渠道提供指导。我们的解决方案利用可操作性模式和领域自适应预训练，在微观和宏观 F1 分数上分别比最先进的模型提高了 5.5% 和 10.1%。

引用次数: 0

Towards new frontiers: How attainment discrepancy affects exploratory behavior in crowdfunding 迈向新领域：成就差异如何影响众筹中的探索行为

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

Information & Management

Pub Date : 2024-11-13 DOI: 10.1016/j.im.2024.104053

Noyan Ilk , Guangzhi Shang , Zhijian Cui , Zhihao Terry Zhang

Online crowdfunding has become a popular mechanism for creative projects that are not suitable for traditional financing means. Interestingly, creators on crowdfunding platforms frequently embark on projects beyond their prior expertise. In this study, we investigate how fundraising performance affects a creator's decision to venture into (i.e., explore) new project categories. Leveraging data from Kickstarter, we unveil a “V-shaped” relationship between creators’ funding attainment discrepancy (the gap between realized and target performance) and their tendency to explore novel project categories. Our finding challenges the conventional assumption that exceeding target performance would inhibit exploratory behavior. In addition, we show that when the attainment discrepancy transitions from negative to positive, the probability of exploration exhibits a discontinuous dip.

对于不适合传统融资手段的创意项目而言，网络众筹已成为一种流行的机制。有趣的是，众筹平台上的创作者经常会开展超出其原有专长的项目。在本研究中，我们将探讨筹款绩效如何影响创作者涉足（即探索）新项目类别的决定。利用来自 Kickstarter 的数据，我们揭示了创作者的资金实现差异（实现业绩与目标业绩之间的差距）与他们探索新项目类别的倾向之间的 "V 型 "关系。我们的发现挑战了 "超过目标业绩会抑制探索行为 "这一传统假设。此外，我们还发现，当实现差距由负转正时，探索的概率会出现不连续的下降。

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