Telematics and Informatics Reports最新文献_第2页

Understanding Algorithmic Personalization in Instagram Ads: The Role of Perceived Creativity, Authenticity & Need for Cognition in Shaping Generation Z’s Purchase Intentions 理解Instagram广告中的算法个性化：感知创意、真实性和认知需求在塑造Z世代购买意愿中的作用

IF 4.7

Telematics and Informatics Reports

Pub Date : 2025-12-16 DOI: 10.1016/j.teler.2025.100287

Inam Ul Haq , Bilal Mazhar , Fatima Maqsood , Mandeep Pokharel , Hannan Khan Tareen , Muhammad Maaz ul Hassan

Algorithmic personalization has transformed the dynamic of consumer engagement with social media advertising, yet its underlying psychological mechanisms remain underexplored. Drawing upon the Elaboration Likelihood Model (ELM) and the Theory of Planned Behavior (TPB), this study examines how personalized Instagram advertisements shape purchase intention through perceived creativity and authenticity, and how Need for Cognition (NFC) moderates these relationships. Data from 458 Pakistani Generation Z users were analyzed using covariance-based structural equation modeling (CFI = 0.997, RMSEA = 0.016, SRMR = 0.024). The results show that personalization significantly enhances perceived creativity (β = 0.578, p < 0.001) and authenticity (β = 0.664, p < 0.001), both of which positively influence purchase intention trough indirect effects (β = 0.195 and β = 0.258, respectively). NFC further strengthens the personalization-intention link (β = 0.142, p < 0.001). These findings extend ELM by situating algorithmic personalization within central-route processing and complement the TPB by demonstrating how creativity and authenticity function as attitudinal mechanisms shaping purchase intention in algorithmically mediated digital advertising.

算法个性化已经改变了消费者与社交媒体广告互动的动态，但其潜在的心理机制仍未得到充分探索。利用精化似然模型（ELM）和计划行为理论（TPB），本研究探讨了个性化Instagram广告如何通过感知创造力和真实性来塑造购买意愿，以及认知需求（NFC）如何调节这些关系。采用基于协方差的结构方程模型对458名巴基斯坦Z世代用户的数据进行分析（CFI = 0.997, RMSEA = 0.016, SRMR = 0.024）。结果表明，个性化显著提高了感知创造力（β = 0.578, p < 0.001）和真实性（β = 0.664, p < 0.001），两者均通过间接效应正向影响购买意愿（β = 0.195和β = 0.258）。NFC进一步强化了个性化与意向之间的联系（β = 0.142, p < 0.001）。这些发现通过将算法个性化置于中央路径处理中来扩展ELM，并通过展示创造力和真实性如何在算法介导的数字广告中作为塑造购买意愿的态度机制来补充TPB。

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引用次数: 0

Trust at risk: Detecting misinformation in LLM-generated product reviews and its implications for consumer behavior and platform governance 风险中的信任：检测llm生成的产品评论中的错误信息及其对消费者行为和平台治理的影响

IF 4.7

Telematics and Informatics Reports

Pub Date : 2025-12-13 DOI: 10.1016/j.teler.2025.100285

Abhay Narayan, S.D. Madhu Kumar, Anu Mary Chacko

The rapid adoption of large language models (LLMs) has intensified the risk of AI-generated fake reviews that distort consumer perception and erode trust in digital marketplaces. This study addresses this challenge by constructing a multi-domain synthetic dataset of hotel, restaurant, and product reviews. Synthetic reviews were generated through three Controllable Misinformation Generation (CMG) strategies: paraphrasing, rewriting, and open-ended prompting using ChatGPT-3.5 and GPT-4 with human validation for semantic consistency and fluency. Detection performance was evaluated across zero-shot instruction-tuned LLMs (LLaMA2-7B, LLaMA2-13B, ChatGPT-3.5, and Gemini-2.5-Flash) and supervised transformers (RoBERTa-base and DeBERTa-v3-base). Results show that open-ended generations are substantially harder to identify, with accuracy drops exceeding 25% compared to constrained styles. DeBERTa-v3 achieved state-of-the-art performance, reaching 96%–98% accuracy/F1 on paraphrased and rewritten reviews (restaurants/Amazon) and consistently outperforming RoBERTa, while zero-shot detectors achieved success rates below 45%. We further observe that larger model size does not guarantee better zero-shot detection; for instance, LLaMA2-7B occasionally outperforms 13B under comparable prompting, underscoring sensitivity to prompt design and sampling settings. These findings underscore the critical limitations of instruction-tuned LLMs in authenticity detection, emphasizing the urgent need for hybrid, domain-adaptive moderation pipelines that integrate robust supervised detectors with flexible LLM-based modules, a focus that is pivotal for effective platform governance and evolving regulations on fake reviews. Future work should expand this research by developing multilingual, cross-domain datasets, improving adversarial robustness through stress testing, and deploying hybrid detection systems enriched with behavioral and metadata signals.

大型语言模型（llm）的迅速采用加剧了人工智能生成的虚假评论的风险，这些评论扭曲了消费者的认知，侵蚀了对数字市场的信任。本研究通过构建酒店、餐厅和产品评论的多域合成数据集来解决这一挑战。合成评论通过三种可控的错误信息生成（CMG）策略生成：释义、重写和开放式提示，使用ChatGPT-3.5和GPT-4进行语义一致性和流畅性的人工验证。通过零射击指令调谐llm （LLaMA2-7B、LLaMA2-13B、ChatGPT-3.5和Gemini-2.5-Flash）和监督变压器（RoBERTa-base和DeBERTa-v3-base）评估检测性能。结果表明，开放式的世代很难识别，与受约束的风格相比，准确率下降了25%以上。DeBERTa-v3实现了最先进的性能，在释义和重写评论（餐馆/亚马逊）上达到96%-98%的准确率/F1，并且始终优于RoBERTa，而零射击检测器的成功率低于45%。我们进一步观察到，更大的模型尺寸并不能保证更好的零射击检测；例如，LLaMA2-7B在类似的提示下偶尔表现优于13B，强调了对提示设计和采样设置的敏感性。这些发现强调了指令调优法学硕士在真实性检测方面的关键局限性，强调了对混合的、领域自适应的调节管道的迫切需要，该管道将强大的监督检测器与灵活的基于法学硕士的模块集成在一起，这对于有效的平台治理和不断发展的虚假评论法规至关重要。未来的工作应该通过开发多语言、跨领域的数据集、通过压力测试提高对抗鲁棒性以及部署富含行为和元数据信号的混合检测系统来扩展这一研究。

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引用次数: 0

Harnessing the Synergy of Artificial Intelligence and Blockchain Technology in Smart Buildings for Enhanced Efficiency and Security 利用人工智能和区块链技术在智能楼宇的协同作用，提高效率和保安

IF 4.7

Telematics and Informatics Reports

Pub Date : 2025-12-11 DOI: 10.1016/j.teler.2025.100284

Sunawar khan , Tehseen Mazhar , Tariq Shahzad , Muhammad Usman Tariq , Weiwei Jiang , Tariq Ali , Muhammad Ayaz , Habib Hamam

With the development of smart buildings as a significant part of green cities, the introduction of Artificial Intelligence (AI) and Blockchain technologies suggests a potential breakthrough in operational efficiency, energy efficiency, and security. This paper explores the synergistic effect of AI and Blockchain on smart buildings, examining the potential of combining AI and Blockchain to achieve optimized building systems and enhanced data security. The main goals of this study are to discuss the integration of AI and Blockchain technologies in the context of modern building efficiency, security, and sustainability, as well as the challenges encountered by building management systems in the past. The narrative review methodology was employed, and a range of case studies, literature, and practices were examined as part of the analysis. The most outstanding insights include the fact that AI can help optimize existing operational systems positively, HVAC, lighting, and predictive maintenance. In contrast, Blockchain can guarantee safe and transparent management of information, immutability, and decentralization. A combination of these technologies contributes to improved energy efficiency, lower costs, and enhanced security. The paper concludes with a note that the full potential of AI and Blockchain in creating more innovative and more sustainable buildings can be achieved by focusing on scalability, integration complexity, and interoperability.

随着智能建筑的发展成为绿色城市的重要组成部分，人工智能（AI）和区块链技术的引入意味着在运营效率、能源效率和安全方面的潜在突破。本文探讨了AI和区块链对智能建筑的协同效应，研究了AI和区块链结合在优化建筑系统和增强数据安全方面的潜力。本研究的主要目标是讨论人工智能和区块链技术在现代建筑效率、安全性和可持续性背景下的集成，以及过去建筑管理系统遇到的挑战。本文采用了叙事回顾的方法，并对一系列的案例研究、文献和实践进行了分析。最突出的见解包括人工智能可以帮助优化现有的运营系统、暖通空调、照明和预测性维护。相比之下，区块链可以保证安全透明的信息管理、不变性和去中心化。这些技术的结合有助于提高能源效率、降低成本并增强安全性。论文最后指出，通过关注可扩展性、集成复杂性和互操作性，可以实现人工智能和区块链在创造更具创新性和更可持续建筑方面的全部潜力。

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引用次数: 0

A PySpark-based KNN classification framework for detecting fake product reviews in e-commerce 一个基于pyspark的KNN分类框架，用于检测电子商务中的虚假产品评论

IF 4.7

Telematics and Informatics Reports

Pub Date : 2025-12-06 DOI: 10.1016/j.teler.2025.100275

Suadad Muammar , Khaled Shaalan

In e-commerce, online reviews significantly influence consumer purchasing behavior, with authenticity directly impacting business revenues and consumer trust. This study addresses the critical issue of fake product reviews (FPRs) by analyzing their effects on consumer choice and the overall reliability of online marketplaces. To improve FPR detection, we employed PySpark and advanced data science techniques to analyze a labeled dataset of user reviews, uncovering patterns and anomalies indicative of review manipulation. By integrating classification methods such as K-Nearest Neighbors (KNN), the study demonstrates how machine learning can effectively identify and mitigate the impact of FPRs, thereby enhancing the credibility of online reviews. The results contribute to ensuring fair competition, consumer protection, and the long-term integrity of digital commerce. Future research may expand this framework by incorporating additional datasets, alternative classification algorithms, and deeper linguistic or sentiment-based analyses.

在电子商务中，在线评论显著影响消费者的购买行为，真实性直接影响企业收入和消费者信任。本研究通过分析虚假产品评论对消费者选择和在线市场整体可靠性的影响，解决了虚假产品评论（fpr）的关键问题。为了提高FPR检测，我们使用PySpark和先进的数据科学技术来分析用户评论的标记数据集，发现评论操纵的模式和异常。通过整合k近邻（KNN）等分类方法，该研究展示了机器学习如何有效识别和减轻fpr的影响，从而提高在线评论的可信度。其结果有助于确保公平竞争、消费者保护和数字商务的长期完整性。未来的研究可能会通过纳入其他数据集、替代分类算法和更深入的语言或基于情感的分析来扩展这一框架。

引用次数: 0

Decision-Making in virtual reality: An experimental study on virtual reality's effect on presence, task-load and decision-making performance within operational command 虚拟现实中的决策：虚拟现实对作战指挥中存在感、任务负荷和决策绩效影响的实验研究

IF 4.7

Telematics and Informatics Reports

Pub Date : 2025-12-06 DOI: 10.1016/j.teler.2025.100282

Fabio Ibrahim , Jonas Schumacher , Peter Hofer , Monika Daseking

Virtual reality (VR) is an emerging technology primarily used in training, with potential applications as a digital interface for crisis management and operational command. This article investigates two aspects: the influence of the personality trait "openness" on the technology acceptance model and the impact of VR on presence, task load, and decision-making performance in ten military operational scenarios. The study involved 140 soldiers (93% male; M = 33.5, SD = 13.6) randomly assigned to the desktop or VR condition. Psychometric results indicate that openness affects perceived usefulness and perceived ease of use. Perceived usefulness and perceived enjoyment predict users' attitudes toward VR technology, which, in turn, influences their behavioral intentions. Experimental findings reveal a strong correlation between the VR condition and spatial presence (r = -0.739) and temporal demand (r = -0.256). Notably, the VR group demonstrates significantly improved decision-making performance (d = -1.537). However, it is essential to note that the impact of the VR condition is not mediated by presence and task load. The article also discusses the implications of these results and potential explanatory approaches.

虚拟现实（VR）是一种主要用于培训的新兴技术，具有潜在的应用前景，可作为危机管理和作战指挥的数字接口。本文研究了人格特质“开放性”对技术接受模型的影响，以及虚拟现实对十种军事作战场景中存在感、任务负荷和决策绩效的影响。该研究涉及140名士兵（93%为男性；M = 33.5, SD = 13.6），随机分配到桌面或虚拟现实环境。心理测量结果表明，开放性影响感知有用性和感知易用性。感知有用性和感知享受可以预测用户对VR技术的态度，进而影响用户的行为意图。实验结果表明，虚拟现实条件与空间存在（r = -0.739）和时间需求（r = -0.256）之间存在很强的相关性。值得注意的是，VR组的决策绩效显著提高（d = -1.537）。然而，必须注意的是，虚拟现实条件的影响不是由在场和任务负荷介导的。文章还讨论了这些结果的含义和潜在的解释方法。

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引用次数: 0

Silenced by non-consensual deepfakes? Perceived threat and online self-censorship among female users: Mediating roles of perceived control, belief in a just world, and passive SNS use 被非自愿的深度造假压制？女性用户的感知威胁和网络自我审查：感知控制、公正世界信念和被动SNS使用的中介作用

IF 4.7

Telematics and Informatics Reports

Pub Date : 2025-12-05 DOI: 10.1016/j.teler.2025.100279

Ji-yeon Lee

Objective

This study examines whether perceived threat of “deepfakes” predicts online self-censorship among female users, testing perceived control, belief in a just world (BJW), and passive SNS use as mediators.

Method

An online survey of 423 young female users in South Korea assessed perceived deepfake threat, BJW, perceived locus of control, SNS engagement, and self-censorship behavior. Structural equation modeling was used to evaluate direct and indirect effects.

Results

Perceived deepfake threat was positively associated with self-censorship, fully mediated by perceived control and passive SNS usage. Higher threat perception predicted lower perceived control, which in turn increased self-censorship. Similarly, those fearing deepfakes reported increased passive SNS use, which was linked to greater self-censorship. While BJW was significantly associated with perceived control in the structural model, its indirect effect did not reach significance in bootstrapping.

Conclusion

Female users who perceive a high deepfake threat do not self-censor automatically; rather, psychological mechanisms shape their responses. Threat perception might undermine an internal locus of control and discourages active online participation, ultimately leading to self-censorship.

Implications

Findings highlight the chilling effects of AI-enabled image-based abuse. Interventions that enhance digital agency—such as privacy-enhancing tools, platform accountability, and belief in online justice—may mitigate defensive online behaviors.

目的本研究考察了女性用户对“深度伪造”的感知威胁是否预示着在线自我审查，测试了感知控制、对公正世界的信念（BJW）和被动使用社交媒体作为中介。一项针对韩国423名年轻女性用户的在线调查评估了感知深度虚假威胁、BJW、感知控制点、社交网络参与度和自我审查行为。采用结构方程模型对直接效应和间接效应进行评价。结果感知深度虚假威胁与自我审查呈正相关，完全由感知控制和被动SNS使用介导。更高的威胁感知预示着更低的控制感知，这反过来又增加了自我审查。同样，那些担心深度造假的人报告说，被动使用社交网络的人数增加了，这与更严格的自我审查有关。在结构模型中，BJW与感知控制显著相关，而在自举模型中，其间接效应不显著。结论女性用户感知深度较高的虚假威胁时不会自动进行自我审查；相反，心理机制塑造了他们的反应。威胁感知可能会破坏内部控制点，阻碍积极的在线参与，最终导致自我审查。研究结果强调了人工智能图像滥用的寒蝉效应。增强数字代理的干预措施——如增强隐私的工具、平台问责制和对网络正义的信念——可能会减轻防御性网络行为。

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引用次数: 0

How consumers’ risk-related perceptions and attitudes evolved as a high-risk/reward technology market emerged–the Internet of Things 随着高风险/回报技术市场——物联网的出现，消费者对风险的认知和态度是如何演变的

IF 4.7

Telematics and Informatics Reports

Pub Date : 2025-12-04 DOI: 10.1016/j.teler.2025.100281

Simon A. Rodan , Nitin Aggarwal , Timothy R. Hill , Leslie J. Albert

We examine the evolution of risk-related purchase intention dynamics over a high-growth period of consumer market emergence for IoT devices (2019–2023) with implications for other high-risk/reward emerging technology consumer markets. Through longitudinal analysis we find the counteracting effects of device riskiness and coolness continue to offset each other as expected but the net effect is that purchase intention has increased during the period studied, even as coolness perceptions of the same devices plateaued. Consumers now better recognize the usefulness of IoT capabilities and that those capabilities matter (though their “IoT-ness” appears less salient now as the capabilities themselves appear the greater focus). But more interestingly, consumers now perceive more self-knowledge of IoT risk generally and yet, that factor’s former negative influence on purchase intention has dissipated. And this is so even while device-specific riskiness has become even more negatively salient, and now, also for those with lower security concern. The interplay of these risk-related factors has evolved with consumers now believing themselves better able to assess risk and thus more confident and comfortable navigating specific devices’ risk/reward trade-offs. Given the overall increase in actual IoT risk reported over the same period, however, it appears more likely that consumer beliefs have changed in response to the inherent extreme cognitive dissonance involved.

我们研究了在物联网设备消费市场出现的高增长时期（2019-2023年），与风险相关的购买意愿动态的演变，以及对其他高风险/回报新兴技术消费市场的影响。通过纵向分析，我们发现设备风险和凉爽的抵消效应如预期的那样继续相互抵消，但净效应是，在研究期间，购买意愿有所增加，即使对同一设备的凉爽感知趋于平稳。消费者现在更好地认识到物联网功能的有用性，以及这些功能的重要性（尽管他们的“物联网”现在似乎不那么突出，因为功能本身似乎更受关注）。但更有趣的是，消费者现在普遍对物联网风险有了更多的自我认识，然而，这一因素对购买意愿的负面影响已经消散。即使是在特定设备的风险变得更加负面突出的时候，现在，对于那些安全性较低的人来说也是如此。这些风险相关因素的相互作用已经演变，消费者现在相信自己能够更好地评估风险，因此更有信心和舒适地驾驭特定设备的风险/回报权衡。然而，考虑到同期报告的实际物联网风险总体增加，消费者的信念似乎更有可能因固有的极端认知失调而发生变化。

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引用次数: 0

Fear of missing out on AI: A psychological cost of technological revolution 害怕错过人工智能：技术革命的心理成本

IF 4.7

Telematics and Informatics Reports

Pub Date : 2025-12-01 DOI: 10.1016/j.teler.2025.100277

Chi-Lin Yu

Artificial intelligence (AI) is transforming education, healthcare, governance, and work at unprecedented speed, but such rapid development also raises new psychological and societal challenges. One emerging concern is fear of missing out on AI (FOMO-AI) – the worry that one’s AI skills or access lag behind others. This study validates an English FOMO-AI scale in a U.S. adult sample (N = 557) and applies it to address three questions: (1) What is the prevalence and demographic distribution of FOMO-AI? (2) How do AI literacy and attitudes shape FOMO-AI? (3) Does FOMO-AI predict mental-health and well-being outcomes? Findings showed that although most people fortunately reported low FOMO-AI, a meaningful minority (more than one in nine) endorsed elevated levels, with younger adults and women being more vulnerable. Furthermore, AI literacy, but not general attitudes toward AI, emerged as the central mechanism shaping FOMO-AI, with higher literacy buffering against it and lower literacy exacerbating it. Importantly, FOMO-AI predicted greater anxiety and depressive symptoms, which, in turn, reduced well-being. Together, these results highlight FOMO-AI as a new, measurable psychological cost of technological revolution and underscore that the future of AI is not only a technological challenge but also a human one.

人工智能（AI）正在以前所未有的速度改变教育、医疗、治理和工作，但这种快速发展也带来了新的心理和社会挑战。一个新出现的担忧是害怕错过人工智能（FOMO-AI）——担心自己的人工智能技能或访问能力落后于他人。本研究在美国成人样本（N = 557）中验证了英语FOMO-AI量表，并将其应用于解决三个问题：(1)FOMO-AI的患病率和人口分布是什么？(2)人工智能素养和态度如何塑造FOMO-AI？(3) FOMO-AI能否预测心理健康和幸福结果？调查结果显示，尽管大多数人报告的FOMO-AI水平较低，但有意义的少数人（超过九分之一）的FOMO-AI水平较高，其中年轻人和女性更容易受到影响。此外，人工智能的读写能力，而不是对人工智能的普遍态度，成为塑造FOMO-AI的核心机制，读写能力高的人可以缓冲它，读写能力低的人则会加剧它。重要的是，FOMO-AI预测了更大的焦虑和抑郁症状，这反过来又降低了幸福感。总之，这些结果突出了FOMO-AI是技术革命的一种新的、可衡量的心理成本，并强调了人工智能的未来不仅是一项技术挑战，也是一项人类挑战。

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引用次数: 0

Unpacking the adoption behavior of restaurant management systems: A unified model 饭店管理系统的采用行为解析：一个统一的模型

IF 4.7

Telematics and Informatics Reports

Pub Date : 2025-12-01 DOI: 10.1016/j.teler.2025.100278

Pham Quang Tin, Ta Nguyet Minh, Nguyen Ho Thanh Dat, Van Hai Hoang

Amidst the 4.0 Revolution, the integration of innovative information technology solutions has become indispensable for firms seeking to enhance operational performance and gain competitive advantages. The restaurant industry is no exception, as Restaurant Management Systems (RMS) have increasingly attracted interest from both service providers and users. However, the underlying mechanisms driving the RMS adoption behavior (BH) of restaurant frontline personnel remain theoretically underexplored. This study addresses the identified gap by employing a unified theoretical framework that integrates the Theory of Planned Behavior (TPB), the Technology Acceptance Model (TAM), and the Innovation Diffusion Theory (IDT) to examine the influence of individual psychological and perceptual factors, along with innovation-specific characteristics, on the BH of RMS, with a particular focus on the restaurant industry in Vietnam. Using partial least squares structural equation modeling on a sample of 316 respondents, this study found the direct impact of Perceived Usefulness, along with perceptions of Compatibility, Observability, Risk on potential users Attitude (ATT) toward RMS, while Perceived ease of use and Trialability exerted no significant influence. The findings revealed that ATT, Subjective Norms, and Perceived Behavioral Control play crucial roles in shaping future adopters BI, which, in turn, could directly impact their BH. It was also confirmed that the relationship between BI and BH can be moderated significantly by gender and job position in the context of restaurants. These insights offer valuable implications for RMS providers to refine their promotion solutions, and for policymakers to design supportive measures that foster RMS adoption within the restaurant industry.

在4.0革命中，创新信息技术解决方案的集成对于寻求提高运营绩效和获得竞争优势的公司来说是必不可少的。餐饮业也不例外，餐饮管理系统（RMS）越来越吸引了服务提供商和用户的兴趣。然而，推动餐厅一线员工采用RMS行为（BH）的潜在机制在理论上仍未得到充分探讨。本研究将计划行为理论（TPB）、技术接受模型（TAM）和创新扩散理论（IDT）整合在一起，采用统一的理论框架来研究个体心理和感知因素以及创新特征对RMS BH的影响，并特别关注越南的餐饮业，从而解决了已确定的差距。本研究利用偏最小二乘结构方程模型对316名受访者的样本进行分析，发现感知有用性、兼容性、可观察性、风险对潜在用户态度（ATT）有直接影响，而感知易用性和可试性对潜在用户态度（ATT）没有显著影响。研究结果表明，ATT、主观规范和感知行为控制在塑造未来采用者的BI中起着至关重要的作用，而这反过来又会直接影响他们的BH。研究还证实，在餐馆环境中，性别和工作职位可以显著调节BI和BH之间的关系。这些见解为RMS供应商提供了有价值的建议，以完善他们的推广解决方案，并为政策制定者设计支持性措施，促进RMS在餐饮业的采用。

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引用次数: 0

Boardroom communication networks and AI driven HRM in Cyber-FinTech: A theory building framework for employee retention 董事会沟通网络和人工智能驱动的网络金融科技人力资源管理：员工保留的理论构建框架

IF 4.7

Telematics and Informatics Reports

Pub Date : 2025-11-29 DOI: 10.1016/j.teler.2025.100280

Khandakar Kamrul Hasan , Md. Abu Hasnat , Hissan Khandakar

This study develops a theoretical framework that explains how two Drivers, artificial intelligence driven human resource management augmentation and strategic corporate security communication, shape the Outcome of employee retention in Cyber-FinTech organizations. As digital financial ecosystems adopt intelligent human resource systems, secure communication practices, and cloud-based infrastructures, integrated and engagement-centered retention strategies have become critical. Grounded in the Resource-Based View, Strategic Communication Theory, and Socio-Technical Systems Theory, the framework positions employee engagement as the Intermediary Mechanism that links the Drivers to retention. Risk management framework maturity shapes the strength and direction of these linkages. We conduct a theory-building literature synthesis that combines comprehensive, systematic, and integrative reviews, supported by NVivo assisted thematic analysis, cluster mapping, and Python based text mining. The synthesis organizes five constructs: artificial intelligence human resource management augmentation, corporate security communication, employee engagement, risk governance maturity, and Cyber-FinTech employee retention. The propositions state that long-term retention is posited to depend on technical innovation, strategic alignment, communicative credibility, and an engagement supportive culture within risk mature environments. The framework provides guidance for human resource leaders, cybersecurity strategists, and FinTech boards that seek to stabilize digital talent pipelines while navigating regulatory pressure and cyber risk.

本研究开发了一个理论框架，解释了人工智能驱动的人力资源管理增强和战略企业安全沟通这两个驱动因素如何影响网络金融科技公司员工保留的结果。随着数字金融生态系统采用智能人力资源系统、安全通信实践和基于云的基础设施，集成和以参与为中心的保留策略变得至关重要。该框架以资源基础观、战略沟通理论和社会技术系统理论为基础，将员工敬业度定位为将驱动因素与保留联系起来的中介机制。风险管理框架成熟度决定了这些联系的强度和方向。我们在NVivo辅助的专题分析、聚类映射和基于Python的文本挖掘的支持下，进行了综合、系统和综合综述的理论构建文献综合。该综合报告组织了五个构建：人工智能人力资源管理增强、企业安全沟通、员工敬业度、风险治理成熟度和网络金融科技员工保留率。这些命题表明，长期留存取决于风险成熟环境中的技术创新、战略一致性、沟通可信度和敬业支持文化。该框架为人力资源领导者、网络安全战略家和金融科技董事会提供指导，帮助他们在应对监管压力和网络风险的同时稳定数字人才渠道。

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引用次数: 0