Telematics and Informatics最新文献

The paradox of smart cities: technological advancements and the disconnection from social participation 智慧城市的悖论：技术进步与社会参与的脱节

IF 8.3 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

Pub Date : 2026-02-01 DOI: 10.1016/j.tele.2026.102376

Beizhen Tang , Daniel P. Aldrich

As smart city initiatives proliferate globally, whether they genuinely foster inclusive and participatory governance remains unclear. This study examines the “smart governance paradox” by integrating macro-level evaluations of urban smartness with micro-level analyses of citizen perceptions across six large Chinese cities. At the macro level, we construct a Smart City Development Index using factor analysis and a neural network optimized by genetic algorithms. Results reveal significant regional disparities: some cities (Beijing and Shanghai) lead in smart economy, infrastructure, and innovation, while others lag in mobility and connectivity, highlighting uneven implementation capacities. At the micro level, we analyze 2021 Chinese Social Survey data using ordered logit models to examine associations between smart city development and public perceptions. Smart city development is positively associated with perceived trust, fairness, and protection, but negatively associated with civic participation—especially among younger demographics. This disconnect suggests that technological development may accompany favorable service-related perceptions while correlating with lower community engagement, potentially reflecting digital substitution and governance centralization. We propose reframing “smartness” as a socio-political construct emphasizing inclusion, responsiveness, and equity, and offer policy recommendations bridging digital efficiency with democratic engagement.

随着智慧城市倡议在全球范围内的扩散，它们是否真正促进了包容性和参与性的治理仍不清楚。本研究通过综合宏观层面的城市智慧评估和微观层面的中国六大城市公民感知分析，考察了“智慧治理悖论”。宏观层面，采用因子分析和遗传算法优化的神经网络构建智慧城市发展指数。结果显示了显著的地区差异：一些城市（北京和上海）在智能经济、基础设施和创新方面处于领先地位，而另一些城市在移动性和连通性方面落后，突出了实施能力的不平衡。在微观层面上，我们使用有序logit模型分析了2021年中国社会调查数据，以检验智慧城市发展与公众认知之间的关系。智慧城市发展与感知信任、公平和保护呈正相关，但与公民参与呈负相关，尤其是在年轻人中。这种脱节表明，技术发展可能伴随着与服务相关的良好观念，同时与较低的社区参与度相关，可能反映出数字替代和治理集中化。我们建议将“智慧”重新定义为强调包容、响应和公平的社会政治结构，并提供政策建议，将数字效率与民主参与联系起来。

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引用次数: 0

A nationwide study on generative AI knowledge, motivation, and emotional responses in predicting students’ perceived need for AI education 一项关于生成式人工智能知识、动机和情绪反应在预测学生对人工智能教育的感知需求方面的全国性研究

IF 8.3 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

Pub Date : 2026-01-17 DOI: 10.1016/j.tele.2026.102372

Seyoung Lee , Chang-ho Lee , Gain Park

The use of generative AI (GenAI) technologies, such as ChatGPT, Midjourney, and Claude, is rapidly expanding across education, research, and various industries, becoming an indispensable tool in everyday life. However, timely and adequate education is necessary for the effective and ethical utilization of such technologies. This study examines users’ psychological mechanisms behind GenAI knowledge and education by incorporating a knowledge-motivation-emotion-education pathway and provides practical implications for educational institutions. To that end, this study analyzed a nationwide sample of 3,959 middle and high school students who participated in a survey. The results revealed that GenAI knowledge significantly increased intrinsic and extrinsic motivation, which in turn increased the degree of emotional response. The results also supported the notion that emotional responses positively predict the perceived need for GenAI education. Moreover, the results revealed a significant indirect relationship between GenAI knowledge and educational needs through intrinsic motivation and emotional responses both individually and serially. The individual mediation of extrinsic motivation between GenAI knowledge and educational needs was not significant; however, serial mediation through extrinsic motivation and emotional responses was significant.

ChatGPT、Midjourney和Claude等生成式人工智能（GenAI）技术的使用正在教育、研究和各个行业迅速扩展，成为日常生活中不可或缺的工具。然而，及时和充分的教育对于有效和合乎道德地利用这些技术是必要的。本研究通过整合知识-动机-情感-教育的路径，探讨了GenAI知识和教育背后的用户心理机制，并为教育机构提供了实践启示。为此，本研究分析了全国3959名参加调查的中学生和高中生的样本。结果表明，GenAI知识显著增加了内在动机和外在动机，从而增加了情绪反应的程度。研究结果还支持了这样一种观点，即情绪反应积极地预测了对基因教育的感知需求。此外，研究结果还揭示了遗传知识与教育需求之间存在显著的间接关系，包括个体和序列的内在动机和情感反应。外在动机在GenAI知识与教育需求之间的中介作用不显著；然而，外在动机和情绪反应的序列中介作用显著。

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引用次数: 0

The comfort trap: The combined role of rejection sensitivity and maladaptive cognitions on problematic social networking site use 舒适陷阱：拒绝敏感性和不适应认知在有问题的社交网站使用中的综合作用

IF 8.3 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

Pub Date : 2026-01-03 DOI: 10.1016/j.tele.2025.102364

Qianqian Li , Tianlong Chen , Qian Chen , Bi Ying Hu , Chuanhua Gu , Zongkui Zhou

Problematic social networking sites use (PSNSU) is influenced by various distal and proximal factors. As the services and functionalities of social networking sites (SNS) continue to expand and diversify, the factors contributing to PSNSU have become increasingly intricate. While the respective impacts of rejection sensitivity (a distal factor) and maladaptive cognitions (a proximal factor) on PSNSU have been extensively documented, their combined effects remain underexplored. This study employed polynomial regression analysis and response surface analysis to examine the congruence effects of rejection sensitivity and maladaptive cognition (including its subdimensions) on PSNSU based on the Social Compensation Hypothesis. A total of 1002 Chinese college students (71.9 % females, M_age = 19.80 years) participated in this study. The results suggested that combinations of rejection sensitivity and the three subdimensions of maladaptive cognitions exhibit different influence patterns on PSNSU. Specifically, PSNSU increased as both levels of rejection sensitivity and “social comfort” increased. Moreover, as rejection sensitivity and “distraction” levels increase, the rate of increase in PSNSU attenuates. Notably, the congruence (vs. incongruence) of rejection sensitivity and “self-realization” predicted higher PSNSU. These findings extended the Cognitive-Behavioral Model and provided a more detailed understanding of the combined effects of distal and proximal factors on PSNSU. Interventions for PSNSU should consider the combined effects of risk factors.

问题社交网站使用（PSNSU）受到各种远端和近端因素的影响。随着社交网站服务和功能的不断扩展和多样化，导致社交网络用户群的因素也越来越复杂。虽然排斥敏感性（远端因素）和适应不良认知（近端因素）各自对PSNSU的影响已被广泛记录，但它们的综合影响仍未得到充分探讨。本研究基于社会补偿假说，采用多项式回归分析和反应面分析，考察了拒绝敏感性和适应不良认知（包括其子维度）对PSNSU的一致性影响。共有1002名中国大学生参与本研究，其中女性占71.9%，年龄19.80岁。结果表明，排斥敏感性和适应不良认知三个维度的组合对PSNSU表现出不同的影响模式。具体来说，PSNSU随着拒绝敏感性和“社会舒适”水平的增加而增加。此外，随着排斥敏感性和“分心”水平的增加，PSNSU的增加速率减弱。值得注意的是，拒绝敏感性和“自我实现”的一致性（vs.不一致性）预示着更高的PSNSU。这些发现扩展了认知-行为模型，并对远端和近端因素对PSNSU的综合影响提供了更详细的理解。对PSNSU的干预应考虑危险因素的综合影响。

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引用次数: 0

Adolescents’ behavior patterns in virtual spaces and their integration into physical urban environments: An empirical investigation using high-resolution data 青少年在虚拟空间中的行为模式及其与城市物理环境的融合：基于高分辨率数据的实证研究

IF 8.3 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

Pub Date : 2026-01-01 DOI: 10.1016/j.tele.2025.102363

Amnon Franco , Jonatan Almagor , Amit Birenboim

This study provides empirical, data-driven insights into adolescents’ evolving virtual space usage patterns, primarily driven by the widespread adoption of ubiquitous digital devices like smartphones. By integrating high-resolution GPS data with mobile phone app usage logs, the study identifies diverse usage types and distinct temporal patterns of virtual space engagement, highlighting their association with characteristics of the physical environment. Contrary to expectations, longer smartphone usage in general and at home does not come at the expense of time spent outdoors. Moreover, outdoor environments were characterized by longer and more frequent virtual space engagement through smartphones, with suburban participants showing more process-oriented (e.g., games, streaming services) usage compared to city center adolescents. Gender differences were observed in some contexts, with girls showing a greater tendency to engage with social virtual activities and boys with process usage. Additionally, specific usage patterns were found to be associated with distinct environmental characteristics, including distance from home, green spaces and built area density. Our findings align with recent geographical research frameworks, such as fused and hybrid spaces, which theorize current virtual space as being intertwined with and inseparable from the physical space. This perspective underscores the need to study these spaces jointly to fully understand urban spaces and human spatial behavior.

这项研究为青少年不断演变的虚拟空间使用模式提供了经验，数据驱动的见解，主要是由智能手机等无处不在的数字设备的广泛采用驱动的。通过将高分辨率GPS数据与手机应用程序使用日志相结合，该研究确定了虚拟空间参与的不同使用类型和不同的时间模式，突出了它们与物理环境特征的关联。与预期相反，智能手机使用时间的延长并不是以户外活动时间的减少为代价的。此外，户外环境的特点是通过智能手机参与虚拟空间的时间更长、频率更高，与城市中心的青少年相比，郊区的参与者表现出更多以过程为导向（例如，游戏、流媒体服务）的使用。在某些情况下，可以观察到性别差异，女孩更倾向于参与社交虚拟活动，而男孩更倾向于使用过程。此外，研究还发现，特定的使用模式与不同的环境特征有关，包括离家的距离、绿色空间和建筑面积密度。我们的发现与最近的地理研究框架一致，例如融合空间和混合空间，这些框架将当前的虚拟空间理论化为与物理空间交织在一起且不可分割。这一视角强调了共同研究这些空间的必要性，以充分理解城市空间和人类空间行为。

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引用次数: 0

The new ethical issue of cultural industries in China: ’Witch-Hunting’ in the age of Generative Artificial Intelligence 中国文化产业的新伦理问题：生成式人工智能时代的“猎巫”

IF 8.3 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

Pub Date : 2025-12-19 DOI: 10.1016/j.tele.2025.102362

Zhixuan Shan , Kun Hou

With the rapid advancement of Generative Artificial Intelligence (GAI), China’s cultural and creative industries face unprecedented ethical dilemmas. The growing difficulty in distinguishing AI-generated works from human-created ones has led to a disturbing phenomenon: human creations are frequently misidentified as AI-generated (especially in painting), imposing substantial hardships on creators. While GAI offers notable benefits, it introduces novel complications, including challenges in substantiating originality and the risk of cyberbullying in the form of ’witch-hunting’. This qualitative study conducted semi-structured interviews with ten Chinese participants who experienced ’witch-hunting’ in painting, uncovering their profound emotional distress, significant economic losses, and severe reputational damage. It also explored their perspectives on GAI works and GAI-driven transformations in the domestic creative environment.

Grounded in an interdisciplinary framework integrating group psychology, digital sociology, platform studies, and creative economy scholarship, this research identifies digital ’witch-hunting’ as a systemic issue in China rooted in technological ambiguity, platform dynamics, and collective bias. It clarifies emerging ethical challenges GAI poses to Chinese creators and provides insights for resolving this predicament through multi-stakeholder collaboration. Findings highlight the urgency of establishing clear identification standards, enhancing platform governance, and formulating supportive policies to safeguard creators’ rights and foster a healthy digital creative ecosystem in China.

随着生成式人工智能（GAI）的快速发展，中国的文化创意产业面临着前所未有的伦理困境。区分人工智能创作的作品和人类创作的作品越来越困难，这导致了一个令人不安的现象：人类创作经常被误认为是人工智能创作的（尤其是在绘画中），给创作者带来了巨大的困难。虽然GAI提供了显著的好处，但它也带来了新的复杂性，包括在证实原创性方面的挑战，以及以“猎巫”形式出现的网络欺凌风险。这项定性研究对10位在绘画领域经历过“猎巫”的中国参与者进行了半结构化访谈，揭示了他们深刻的情感困扰、重大的经济损失和严重的声誉损害。它还探讨了他们对国内创意环境中GAI作品和GAI驱动转型的看法。本研究立足于整合群体心理学、数字社会学、平台研究和创意经济奖学金的跨学科框架，将数字“猎巫”确定为中国的一个系统性问题，其根源在于技术歧义、平台动态和集体偏见。它阐明了GAI给中国创作者带来的新出现的道德挑战，并提供了通过多方利益相关者合作解决这一困境的见解。研究结果强调了建立明确的识别标准、加强平台治理和制定支持性政策的紧迫性，以保障创作者的权利，并在中国建立健康的数字创意生态系统。

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引用次数: 0

When AI summary is inconsistent with aggregated rating: The role of trust, valence, and algorithmic explanation in consumer attitudes 当人工智能总结与综合评级不一致时：信任、效价和算法解释在消费者态度中的作用

IF 8.3 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

Pub Date : 2025-12-19 DOI: 10.1016/j.tele.2025.102361

Lijuan Luo , Ling Liu , Yujie Zheng

The rapid integration of AI-generated summary (AIGS) into online review platforms has revolutionized how consumers process online reviews. However, inconsistencies between AIGS and aggregated user-generated rating (AUGR), such as positively framed AI textual summaries paired with neutral or negative aggregated rating, pose significant risks by potentially undermining user attitudes towards both AIGS and the platform. Grounded in trust and cognitive dissonance theory, this study explores how AIGS-AUGR inconsistency impacts user attitudes towards AIGS (e.g., adoption intention, perceived helpfulness) and the platform (e.g., continuous usage intention, recommendation intention). Through three scenario-based experiments, we find that AIGS-AUGR inconsistency directly reduces trust, which fully mediates its negative effects on user attitudes. Additionally, we identify two critical boundary conditions: 1) negative AIGS valence mitigates the negative effects compared to positive valence, and 2) algorithmic explanation moderates the effects of inconsistency on trust by enhancing perceived transparency. These findings offer valuable insights for how platforms present and govern algorithmic content, helping sustain consumer trust and engagement in AI-powered review environments.

人工智能生成摘要（AIGS）与在线评论平台的快速集成彻底改变了消费者处理在线评论的方式。然而，AIGS与综合用户生成评级（AUGR）之间的不一致，例如积极框架的AI文本摘要与中性或负面的综合评级配对，可能会破坏用户对AIGS和平台的态度，从而构成重大风险。本研究以信任和认知失调理论为基础，探讨AIGS- augr不一致性如何影响用户对AIGS的态度（如采用意愿、感知帮助）和平台（如持续使用意愿、推荐意愿）。通过三个基于场景的实验，我们发现AIGS-AUGR不一致直接降低了信任，并充分中介了信任对用户态度的负面影响。此外，我们确定了两个关键的边界条件：1)与正价相比，负的AIGS价减轻了负面影响；2)算法解释通过增强感知透明度来调节不一致对信任的影响。这些发现为平台如何呈现和管理算法内容提供了有价值的见解，有助于在人工智能驱动的评论环境中维持消费者的信任和参与度。

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引用次数: 0

Emerging generative AI divide: Personal, positional, and resource-based factors associated with use and reasons for non-use 新兴的生成人工智能鸿沟：与使用和不使用的原因相关的个人、位置和资源因素

IF 8.3 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

Pub Date : 2025-12-18 DOI: 10.1016/j.tele.2025.102360

Atsushi Nakagomi , Noriyuki Abe , Takahiro Tabuchi

As generative artificial intelligence (AI) tools become increasingly integrated into everyday life, concerns are growing over unequal adoption and the potential emergence of an “AI divide.” Guided by the Resources and Appropriation Theory (RAT), this study investigated the factors associated with generative AI use and reasons for non-use in a population-based sample of 13,367 adults in Japan. In January 2025, approximately 21.3 % of respondents reported using generative AI in the past 12 months. Modified Poisson regression showed that AI use was more prevalent among younger individuals, men, those with certain personality traits (openness and agreeableness) and those experiencing psychological distress (personal factors). In addition, those who were highly educated, married, childless, living in urban and less socioeconomically deprived areas, and employed in certain occupational categories (positional factors) were more likely to use generative AI. Higher-income individuals, those with strong friend-based social networks, frequent digital engagement (smartphone and social media use), and higher digital health literacy scores (resource-based factors) were more likely to adopt AI. Among non-users, the most commonly cited reason was “not necessary” (39.9 %). We observed patterns in the factors associated with specific reasons for non-use, linked to age, gender, personality traits, education, and digital literacy. For example, younger adults were less likely to report barriers related to skills or security concerns, and instead cited a lack of attractive services. These findings highlight that generative AI adoption is shaped by a wide range of personal, positional, and resource-based. Without inclusive strategies, these disparities risk compounding existing inequalities.

随着生成式人工智能（AI）工具越来越多地融入日常生活，人们越来越担心不平等的采用和可能出现的“人工智能鸿沟”。在资源与挪用理论（resource and Appropriation Theory， RAT）的指导下，本研究以日本13367名成年人为样本，调查了与生成人工智能使用相关的因素和不使用人工智能的原因。2025年1月，约21.3%的受访者表示在过去12个月中使用了生成式人工智能。修正泊松回归显示，人工智能的使用在年轻人、男性、具有某些性格特征（开放性和亲和性）的人以及经历心理困扰（个人因素）的人中更为普遍。此外，那些受过高等教育、已婚、无子女、生活在城市和社会经济贫困程度较低的地区，以及从事某些职业类别（位置因素）的人更有可能使用生成式人工智能。收入较高的个人，拥有强大的以朋友为基础的社交网络，频繁的数字参与（智能手机和社交媒体的使用），以及更高的数字健康素养分数（基于资源的因素）的人更有可能采用人工智能。在非用户中，最常见的原因是“没有必要”（39.9%）。我们观察了与不使用的具体原因相关的因素模式，这些因素与年龄、性别、人格特征、教育程度和数字素养有关。例如，年轻人不太可能报告与技能或安全问题相关的障碍，而是认为缺乏有吸引力的服务。这些发现强调，生成式人工智能的采用受到个人、位置和资源基础的广泛影响。如果没有包容性战略，这些差距可能会加剧现有的不平等。

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引用次数: 0

Platform-generated misinformation warning labels during disasters: A U.S.-China comparative study 灾害期间平台产生的错误信息警告标签：中美比较研究

IF 8.3 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

Pub Date : 2025-12-07 DOI: 10.1016/j.tele.2025.102356

Chen Silvia Zhang, Sora Kim

This study introduces a platform social responsibility concept and a platform-public relationship perspective, identifying two crucial warning label features—source agent and communication style—to explore their impact on perceived misinformation credibility, platform credibility, platform social responsibility, and platform support behavior. Using a 2 source agents (AI vs. human) x 2 communication styles (direct vs. indirect) between-subjects online experiment conducted in the U.S. (US) and China, the study finds that warning labels generated by human fact-checkers are more effective than those from AI fact-checkers in reducing misinformation credibility and enhancing platform credibility, social responsibility, and platform support behavior. The study also reveals distinct mechanisms underlying warning label effectiveness in the US and China. In the US, disaster responsibility attribution functions as a boundary condition, influencing how warning labels function as veracity signaling, primarily affecting misinformation credibility. In contrast, in China, AI heuristics serve as a boundary condition, extending the impact of warning labels beyond misinformation credibility to strengthen platform-public relationships through enhancing platform credibility, social responsibility, and platform support behavior. These findings provide new insights into the role of warning labels in combating misinformation, highlighting the importance of cultural differences and the need for tailored platform interventions.

本研究引入平台社会责任概念和平台公共关系视角，识别两个关键警示标签特征——来源代理和传播方式，探讨其对感知错误信息可信度、平台可信度、平台社会责任和平台支持行为的影响。通过在美国和中国进行的2源代理（AI vs.人类）x 2种沟通方式（直接vs.间接）的受试者间在线实验，该研究发现，在减少错误信息可信度、增强平台可信度、社会责任和平台支持行为方面，人类事实核查员生成的警告标签比人工事实核查员生成的警告标签更有效。该研究还揭示了美国和中国警告标签有效性背后的不同机制。在美国，灾难责任归因作为一个边界条件，影响警告标签作为真实性信号的功能，主要影响错误信息的可信度。相比之下，在中国，人工智能启发式作为边界条件，将警告标签的影响扩展到错误信息可信度之外，通过提高平台可信度、社会责任和平台支持行为来加强平台与公众的关系。这些发现为警告标签在打击错误信息中的作用提供了新的见解，强调了文化差异的重要性和量身定制平台干预的必要性。

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引用次数: 0

Enhancing citizen satisfaction with mobile government services in China: The mediating role of trust in service quality and perceived value 提高中国公民对移动政务服务的满意度：服务质量和感知价值信任的中介作用

IF 8.3 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

Pub Date : 2025-12-07 DOI: 10.1016/j.tele.2025.102355

Yihong Long , Kexin Yang , Ran Huang , Guoping Yuan , Yi Xia

This study examines citizen satisfaction with mobile government services in China through the Stimulus–Organism–Response perspective. Survey data from 617 users were analyzed with variance-based structural equation modeling (PLS-SEM). The model links technical service quality to citizens’ cognitive appraisal and trust and evaluates their association with satisfaction. Results indicate that higher service quality is associated with greater perceived value and stronger trust, and these appraisals relate positively to satisfaction. Measurement and structural assessments show acceptable reliability, validity, and explanatory power. The findings clarify psychological mechanisms underlying evaluations of mobile public services and suggest management levers focused on experience optimization, transparency, and trust building to enhance citizen satisfaction.

本研究通过刺激-机体-反应的视角考察了中国公民对移动政府服务的满意度。采用基于方差的结构方程模型（PLS-SEM）对617名用户的调查数据进行分析。该模型将技术服务质量与公民的认知评价和信任联系起来，并评估其与满意度的关联。结果表明，较高的服务质量与较高的感知价值和较强的信任相关，并且这些评价与满意度呈正相关。测量和结构评估显示出可接受的信度、效度和解释力。研究结果阐明了移动公共服务评估的心理机制，并建议通过优化体验、提高透明度和建立信任来提高公民满意度。

引用次数: 0

Deepening digital user understanding through large language model analysis of clickstream-based segments 通过对基于点击流的细分进行大型语言模型分析，加深对数字用户的理解

IF 8.3 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

Pub Date : 2025-12-06 DOI: 10.1016/j.tele.2025.102359

Adam Wasilewski , Yash Chawla , Nikola Kozuljevic

Effective digital platform strategies often depend on a deep understanding of user behavior. Specifically within e-commerce, analyzing clickstream data through machine learning allows users to be categorized into distinct segments based on their online interactions. This research explores the potential of large language models (LLMs) to extract granular insights from these customer segments. Unlike traditional methods, LLMs may possess a greater ability to uncover latent patterns within user preferences, needs, and motivations as reflected in interaction data. This study demonstrates, within an e-commerce context, the effectiveness of integrating clickstream segmentation with LLMs to generate actionable recommendations for personalized marketing campaigns, innovative product development, and improved customer service. The research indicates areas of practical application for this LLM-based approach, and the results show the great potential of such tools in e-commerce analytics, including getting to understand user behaviors and pre-determining personalization directions. By harnessing the power of LLMs, companies can gain a deeper understanding of user behavior within their specific domain, identify untapped opportunities, and tailor their offerings. Ultimately, this research contributes to advancing e-commerce analysis methodologies and offers insights potentially applicable to understanding user interactions on other digital platforms, enabling organizations to optimize operations and foster customer loyalty.

有效的数字平台策略往往依赖于对用户行为的深刻理解。特别是在电子商务领域，通过机器学习分析点击流数据可以根据用户的在线互动将其分类为不同的细分市场。本研究探索了大型语言模型（llm）从这些客户细分中提取细粒度见解的潜力。与传统方法不同，法学硕士可能拥有更大的能力来发现交互数据中反映的用户偏好、需求和动机中的潜在模式。本研究表明，在电子商务背景下，将点击流细分与法学硕士相结合，为个性化营销活动、创新产品开发和改进客户服务提供可操作的建议是有效的。研究指出了这种基于法学硕士的方法的实际应用领域，结果显示了此类工具在电子商务分析中的巨大潜力，包括了解用户行为和预先确定个性化方向。通过利用法学硕士的力量，公司可以更深入地了解特定领域内的用户行为，识别未开发的机会，并定制他们的产品。最终，这项研究有助于推进电子商务分析方法，并提供潜在的见解，适用于理解其他数字平台上的用户交互，使组织能够优化运营并培养客户忠诚度。

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引用次数: 0