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The Zenith of Flow Consciousness in Metaverse: Glancing the Consumer Behavior in the Future 虚拟世界中心流意识的顶峰:展望未来的消费者行为
IF 7.6 2区 管理学 Q1 BUSINESS Pub Date : 2025-09-15 DOI: 10.1111/ijcs.70120
Uzma Noor, Mahnaz Mansoor, Tariq Iqbal Khan, Mohammad Nisar Khattak

This study investigates consumer behavior within the metaverse, focusing on the influence of social presence, flow consciousness, e-trust, and affinity for technology interaction on the propensity to buy online and intentions to prosume. A quantitative research approach was employed, with data collected via an online survey from 502 Zepeto users. Hypothesis testing was done to analyze the relationships among variables. The study found significant positive relationships of social presence and flow consciousness with the propensity to buy online and intentions to prosume within the metaverse. E-trust was identified as a moderator, enhancing the effects of social presence and flow consciousness on consumer behaviors. Additionally, affinity for technology interaction moderates the relationship between flow consciousness and consumer actions in virtual environments. This research makes a novel contribution by integrating Social Presence Theory, Flow Theory, and the Technology Acceptance Model (TAM) within an immersive, avatar-based metaverse context, a combination that has not been previously explored in virtual environment or social commerce literature. By addressing this theoretical gap, the study provides a comprehensive framework to understand how emotional, cognitive, and social factors interact to drive behavior in emerging digital ecosystems. The findings offer actionable insights for businesses aiming to enhance virtual experiences by prioritizing social interaction design, fostering immersive flow states, and embedding trust-building mechanisms to support secure and engaging consumer journeys.

本研究调查了消费者在虚拟世界中的行为,重点研究了社会存在、流量意识、电子信任和技术互动亲和力对在线购买倾向和消费意向的影响。采用定量研究方法,通过对502名Zepeto用户的在线调查收集数据。通过假设检验来分析变量之间的关系。研究发现,社交存在和流意识与在线购物倾向和虚拟世界消费意愿之间存在显著的正相关关系。电子信任在社会在场和流动意识对消费者行为的影响中起调节作用。此外,对技术交互的亲和力调节了虚拟环境中流意识与消费者行为之间的关系。本研究通过将社会存在理论、流动理论和技术接受模型(TAM)整合到一个沉浸式的、基于虚拟形象的元环境中,做出了新颖的贡献,这种组合在虚拟环境或社交商业文献中尚未被探索过。通过解决这一理论差距,该研究提供了一个全面的框架来理解情感、认知和社会因素如何相互作用,以驱动新兴数字生态系统中的行为。研究结果为企业提供了可操作的见解,这些企业旨在通过优先考虑社交互动设计、培养沉浸式心流状态和嵌入信任建立机制来增强虚拟体验,以支持安全和吸引人的消费者旅程。
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引用次数: 0
Assessing Predictor Robustness in Healthcare Consumer Research: A Bayesian Model Averaging Approach 在医疗保健消费者研究评估预测稳健性:贝叶斯模型平均方法
IF 7.6 2区 管理学 Q1 BUSINESS Pub Date : 2025-09-13 DOI: 10.1111/ijcs.70119
Anup Menon Nandialath, Uzay Damali

Healthcare consumers are increasingly acting as active co-producers of their care, especially in the management of chronic diseases, where they assume substantial responsibility throughout the care process. Although research on healthcare consumer behavior is growing, methodological limitations, particularly “researcher degrees of freedom” in variable selection, led to inconsistent conclusions about which service design elements truly influence consumer outcomes. To address this issue, we apply Bayesian Model Averaging (BMA) to evaluate the robustness of key consumer interaction variables across alternative model specifications. Using data from diabetes education programs at six hospitals, we focus on three core service design elements: relational quality (consumer trust in health educators), knowledge types (know-what, know-how, and know-why), and media forms (educational delivery methods such as written material, one-on-one meetings, and group classes). Bayesian model averaging (BMA) reveals that group classes for blood glucose monitoring and practical meal planning know-how emerge as the strongest and most robust predictors across consumer satisfaction, knowledge acquisition, behavior change, and health outcomes. Group-based education formats demonstrated substantially higher robustness compared to individual delivery methods across this intervention hierarchy. Our research highlights the value of BMA in producing more reliable, model-independent insights for consumer research, suggesting that healthcare organizations may achieve greater impact by prioritizing group-based blood glucose monitoring education and practical meal planning knowledge dissemination.

医疗保健消费者越来越多地成为其护理的积极共同生产者,特别是在慢性病管理方面,他们在整个护理过程中承担了重大责任。尽管对医疗保健消费者行为的研究正在增长,但方法上的局限性,特别是在变量选择方面的“研究人员自由度”,导致关于哪些服务设计元素真正影响消费者结果的结论不一致。为了解决这个问题,我们应用贝叶斯模型平均(BMA)来评估跨可选模型规范的关键消费者交互变量的鲁棒性。利用六家医院糖尿病教育项目的数据,我们关注三个核心服务设计元素:关系质量(消费者对健康教育者的信任)、知识类型(知道什么、知道诀窍和为什么知道)和媒体形式(书面材料、一对一会议和小组课程等教育传递方法)。贝叶斯模型平均(BMA)显示,血糖监测和实用膳食计划知识的分组分类是消费者满意度、知识获取、行为改变和健康结果的最强和最可靠的预测因素。在整个干预层次中,与个人交付方法相比,以群体为基础的教育形式表现出更高的稳健性。我们的研究强调了BMA在为消费者研究提供更可靠、独立于模型的见解方面的价值,这表明医疗机构可以通过优先考虑基于群体的血糖监测教育和实用的膳食计划知识传播来实现更大的影响。
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引用次数: 0
Stay With Me: Unveiling the Pathways to Consumer Loyalty in Live Streaming Commerce 与我同行:揭示直播商业中消费者忠诚度的途径
IF 7.6 2区 管理学 Q1 BUSINESS Pub Date : 2025-09-06 DOI: 10.1111/ijcs.70118
Xiaohui Bai, Eugene Cheng-Xi Aw, Garry Wei-Han Tan, Keng-Boon Ooi

The compelling appeal of live streaming commerce has grabbed the attention of businesses and individual vendors; thus, the market has seen a surge in competitiveness. A prevailing challenge has emerged in the wake of this trend: maintaining customer loyalty in an environment where consumers can effortlessly switch between different live-stream channels. This study investigates the key factors influencing consumer behavior (i.e., loyalty) in live streaming commerce by employing an explanatory sequential mixed-methods design. In Study 1, survey data were collected from 507 participants, followed by semistructured interviews in Study 2. The PLS-SEM results indicate that processing fluency (both imagery and comprehension fluency) fosters immersion, subsequently satisfying consumers' basic psychological needs. The fulfillment of these basic psychological needs fosters loyalty. Additionally, self-disclosure and transportability play a moderating role. The fsQCA results identified four configurations, each with different combinations of causal conditions that explain the formation of loyalty. The follow-up qualitative study confirms the findings and identifies additional themes that are worth research consideration. Theoretical and practical implications are discussed.

直播商业的巨大吸引力吸引了企业和个人供应商的注意;因此,市场上的竞争力急剧上升。在这种趋势之后,一个普遍的挑战出现了:在消费者可以毫不费力地在不同的直播频道之间切换的环境中保持客户忠诚度。本研究采用解释性序贯混合方法设计,探讨影响直播商业中消费者行为(即忠诚度)的关键因素。在研究1中,收集了507名参与者的调查数据,在研究2中进行了半结构化访谈。PLS-SEM结果表明,加工流畅性(包括图像和理解流畅性)促进沉浸,从而满足消费者的基本心理需求。这些基本心理需求的满足会培养忠诚。此外,自我表露和可转移性起调节作用。fsQCA结果确定了四种配置,每种配置都有不同的因果条件组合,可以解释忠诚度的形成。后续的定性研究证实了这些发现,并确定了值得研究考虑的其他主题。讨论了理论和实践意义。
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引用次数: 0
Personal Financial Planning Services: A Review and Future Research Agenda 个人理财服务:回顾与未来研究议程
IF 7.6 2区 管理学 Q1 BUSINESS Pub Date : 2025-09-04 DOI: 10.1111/ijcs.70116
Justin Paul, Alok Bansal, Nachiket Bhate, Ana Reyes-Menendez, Tatiana Mendez Toro

Personal financial planning is the process of managing money to achieve personal financial stability and long-term goals. Although there is considerable research on the topic, recent economic, technological, and behavioral changes necessitate a more in-depth analysis to ensure that financial strategies, products, and policies are data-driven, effective, and responsive. Therefore, this study aims to develop a research agenda including new perspectives on personal financial planning services. To this end, we conducted a systematic literature review using the Theory-Context-Characteristics-Methodology (TCCM) framework, synthesizing 81 studies. Based on the gaps, a future research agenda is developed. Future research should focus on financial literacy applications, cross-cultural behaviors, emerging technologies, and the human role in financial advising.

个人财务规划是管理金钱以实现个人财务稳定和长期目标的过程。尽管对这一主题有相当多的研究,但最近的经济、技术和行为变化需要更深入的分析,以确保金融战略、产品和政策是数据驱动的、有效的和响应性的。因此,本研究旨在制定一个研究议程,包括个人理财服务的新视角。为此,我们使用理论-情境-特征-方法(TCCM)框架进行了系统的文献综述,综合了81项研究。根据这些差距,制定了未来的研究议程。未来的研究应集中在财务知识应用、跨文化行为、新兴技术和人在财务咨询中的作用。
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引用次数: 0
AI-Mediated Communication in E-Commerce: Implications for Customer Trust 电子商务中人工智能介导的沟通:对客户信任的影响
IF 7.6 2区 管理学 Q1 BUSINESS Pub Date : 2025-08-26 DOI: 10.1111/ijcs.70111
Christine Hennighausen, Vanessa Gabriela Yarza Navarro-Schär, Eric Eller

Generative artificial intelligence (AI) technologies offer new potential for marketing and customer operations, such as automation and personalization of customer service. However, more must be understood about how AI-mediated communication (AI-MC) affects customer trust. We conducted an online experiment to investigate the impact of AI-MC on customer trust in an online retail context. We presented N = 294 participants with two email scenarios describing a product return context, labeled as written by either (a) a service employee, (b) a service employee assisted by AI, or (c) AI on behalf of the service employee. We further varied levels of service criticality to consider customers' perception of vulnerability. Our findings revealed higher customer trust ratings in the online retailer when the email communications were written by the service employee, compared to those written by the service employee assisted by AI. When analyzing the different components of trust, it was found that communications written by the service employee assisted by AI reduced perceptions of both the online retailer's benevolence and integrity, while communications written by AI on behalf of the employee led to lower perceived integrity of the online retailer. Surprisingly, service criticality did not affect trust ratings. We discuss the managerial implications of integrating generative AI into customer service in the context of the EU AI Act, which came into force on 1 August 2024.

生成式人工智能(AI)技术为营销和客户运营提供了新的潜力,例如客户服务的自动化和个性化。然而,关于人工智能介导的沟通(AI-MC)如何影响客户信任,我们必须了解更多。我们进行了一项在线实验,以调查在线零售环境下AI-MC对客户信任的影响。我们向N = 294名参与者提供了两个描述产品退货上下文的电子邮件场景,标记为由(a)服务员工,(b)人工智能辅助的服务员工或(c)人工智能代表服务员工编写。我们进一步改变了服务关键程度,以考虑客户对脆弱性的感知。我们的研究结果显示,与由人工智能辅助的服务员工撰写的电子邮件相比,由服务员工撰写的电子邮件对在线零售商的客户信任度更高。在分析信任的不同组成部分时,发现由人工智能辅助的服务员工撰写的通信降低了对在线零售商的仁慈和诚信的感知,而人工智能代表员工撰写的通信导致在线零售商的诚信感知降低。令人惊讶的是,服务关键性并不影响信任评级。我们讨论了在2024年8月1日生效的欧盟人工智能法案的背景下,将生成式人工智能集成到客户服务中的管理影响。
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引用次数: 0
Impulsivity in Live Shopping: How Envy, Happiness, and Hedonic Consumption Influence Gen Z Purchases 现场购物中的冲动:嫉妒、快乐和享乐消费如何影响Z世代的购买
IF 7.6 2区 管理学 Q1 BUSINESS Pub Date : 2025-08-21 DOI: 10.1111/ijcs.70113
Daniel Costa Pacheco, Ana Isabel de Damião de Serpa Arruda Moniz, Osvaldo da Dias Lopes da Silva, Suzana Nunes Caldeira, Enrique Bigné

This quantitative study explores the drivers of impulsive buying during live-stream shopping, with a focus on Generation Z. It examines perceived value, scarcity, and sacrifice, alongside the mediating and moderating roles of benign envy, subjective happiness, and hedonic consumption. Grounded in the Stimulus–Organism–Response (S-O-R) model, the research draws on data from 1393 Portuguese consumers with experience in live-stream purchases. Findings indicate that perceived value, scarcity, and sacrifice significantly influence impulsive buying tendencies. Hedonic consumption mediates the effect of perceived value on these tendencies. Subjective happiness is negatively associated with impulsivity, whereas benign envy positively moderates the link between perceived value and impulse buying. The study offers practical guidance for e-commerce managers, highlighting strategies to enhance perceived value, reduce perceived sacrifice, and apply emotional appeals to boost impulsivity without undermining customer loyalty. It also encourages an ethical use of perceived scarcity to avoid overwhelming consumers with purchase pressure. Finally, the paper discusses broader implications for encouraging more mindful consumption habits, contributing to more sustainable digital marketing practices.

这项定量研究探讨了直播购物中冲动购买的驱动因素,重点是z世代。它考察了感知价值、稀缺性和牺牲,以及良性嫉妒、主观幸福感和享乐消费的中介和调节作用。该研究基于刺激-机体-反应(S-O-R)模型,利用了1393名有直播购物经验的葡萄牙消费者的数据。研究发现,感知价值、稀缺性和牺牲显著影响冲动购买倾向。享乐消费介导感知价值对这些倾向的影响。主观幸福感与冲动负相关,而良性嫉妒正调节感知价值与冲动购买之间的联系。该研究为电子商务管理者提供了实践指导,强调了提高感知价值,减少感知牺牲的策略,以及在不损害客户忠诚度的情况下运用情感诉求来提高冲动性的策略。它还鼓励道德地使用感知到的稀缺性,以避免消费者被购买压力压垮。最后,本文讨论了鼓励更有意识的消费习惯的更广泛的影响,有助于更可持续的数字营销实践。
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引用次数: 0
Non-Fungible Tokens and Consumer Behavior: A Systematic Literature Review and Research Agenda 不可替代代币与消费者行为:系统的文献综述和研究议程
IF 7.6 2区 管理学 Q1 BUSINESS Pub Date : 2025-08-21 DOI: 10.1111/ijcs.70114
Paul Griffiths, Nuno Fernades Crespo, Carlos J. Costa

Non-fungible tokens (NFTs) are digital artifacts built on blockchain technology that have achieved notoriety for their rapid consumer adoption, technical sophistication, and dramatic price swings. This paper synthesizes contemporary academic research on NFT consumer behavior to better understand the current state of the field, to explore its focus and quality, and to identify the authors and subjects that are driving the research. Applying the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) protocol and using an ACO-TCM framework systematic review of literature, this study of 53 curated articles organizes the existing body of research on NFT consumer behavior to identify current themes and gaps in the academic literature, finding ample opportunities for further research. Finally, this paper proposes areas for further study based on the emerging opportunities in research streams, both in depth and in breadth, concerning NFT consumer behavior.

不可替代代币(nft)是建立在区块链技术基础上的数字产品,该技术因其快速的消费者采用、技术复杂性和剧烈的价格波动而臭名昭著。本文综合了当代关于NFT消费者行为的学术研究,以更好地了解该领域的现状,探索其重点和质量,并确定推动研究的作者和主题。应用系统文献综述的科学程序和基本原理(SPAR-4-SLR)协议,并使用ACO-TCM框架对文献进行系统综述,本研究收录了53篇关于NFT消费者行为的现有研究,以确定学术文献中的当前主题和差距,为进一步研究找到充足的机会。最后,本文根据研究流中出现的机会,在深度和广度上提出了关于NFT消费者行为的进一步研究领域。
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引用次数: 0
Consumer Investment Behaviour: A Systematic Review Using TCM and ADO Frameworks 消费者投资行为:使用TCM和ADO框架的系统回顾
IF 7.6 2区 管理学 Q1 BUSINESS Pub Date : 2025-08-13 DOI: 10.1111/ijcs.70110
Arun Kumar, K. S. Ranjani

Consumers' investment decision-making, specifically referring to retail investors, significantly influences market trends; yet a comprehensive review of this field remains limited. This study addresses this gap by systematically analysing retail investors' investment behaviour. Using the TCM (Theory-Context-Method) and ADO (Antecedents-Decisions-Outcomes) frameworks, we reviewed 264 peer-reviewed articles from 2001 to April 2025. Key findings highlight dominant theories (e.g., Prospect Theory), prevalent research contexts (e.g., USA, India) and key antecedents like psychological biases, socioeconomic factors, global disruptions (e.g., COVID-19, financial crises) and technological advancements (e.g., digital platforms, robo-advisors). These factors shape decisions such as portfolio diversification and risk-taking, impacting outcomes like investment performance and financial stability. The study identifies research gaps, including the role of emerging technologies and cultural influences, offering directions for future research. Theoretically, it advances behavioural finance by integrating TCM and ADO frameworks. Practically, it provides insights for policymakers and financial institutions to enhance market efficiency and support informed decision-making, aligning with evolving market trends.

消费者(具体指散户投资者)的投资决策显著影响市场趋势;然而,对这一领域的全面审查仍然有限。本研究通过系统分析散户投资者的投资行为来解决这一差距。使用TCM(理论-情境-方法)和ADO(前因-决策-结果)框架,我们回顾了2001年至2025年4月期间的264篇同行评议文章。主要发现突出了主导理论(如前景理论)、流行研究背景(如美国、印度)和关键前提,如心理偏见、社会经济因素、全球破坏(如COVID-19、金融危机)和技术进步(如数字平台、机器人顾问)。这些因素塑造了投资组合多样化和风险承担等决策,影响了投资业绩和金融稳定等结果。该研究确定了研究差距,包括新兴技术和文化影响的作用,为未来的研究提供了方向。从理论上讲,它通过整合TCM和ADO框架来推进行为金融学。实际上,它为政策制定者和金融机构提供了见解,以提高市场效率,支持明智的决策,与不断变化的市场趋势保持一致。
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引用次数: 0
Compensatory Consumption: A Review and Research Agenda Using the Theory-Context-Characteristics-Methodology Framework 补偿性消费:基于理论-情境-特征-方法论框架的回顾与研究议程
IF 7.6 2区 管理学 Q1 BUSINESS Pub Date : 2025-08-13 DOI: 10.1111/ijcs.70112
Tuan (Todd) Cao, Catherine Prentice, Qingxia (Jenny) Wang, Hoang Sinh Nguyen

Compensatory consumption refers to consumer behaviors driven by psychological motives to address self-discrepancies, emotional distress, or identity threats. Although scholarly interest in this topic has grown, a comprehensive synthesis of its theoretical foundations, research contexts, consumer characteristics, and methodological approaches remains limited. This study presents a systematic literature review of 105 peer-reviewed articles published in Chartered Association of Business Schools (ABS)-ranked journals, following PRISMA 2020 (Preferred Reporting Items for Systematic reviews and Meta-Analyses) guidelines and using the TCCM (Theory, Context, Characteristics, Methodology) framework. Articles were initially retrieved from Scopus, Web of Science, EBSCOhost, and Emerald Insight, but only those published in ABS-ranked journals meeting predefined quality criteria were included. The findings show that compensatory consumption is predominantly explained by self-discrepancy theory, symbolic self-completion theory, and compensatory consumption theory. A model is developed to map the relationships among antecedents, mediators, outcomes, and moderators. The review also identifies a shift from materialistic and status-driven behaviors toward symbolic, ethical, and experiential consumption. It contributes to theory by integrating fragmented perspectives and identifying emerging constructs. This review also provides managerial guidance on ethical positioning, symbolic value creation, and inclusive branding, and outlines future research directions across underexplored contexts, theoretical lenses, and methodological approaches.

补偿性消费是指由心理动机驱动的消费者行为,以解决自我差异、情绪困扰或身份威胁。尽管对这一主题的学术兴趣有所增长,但对其理论基础、研究背景、消费者特征和方法方法的全面综合仍然有限。本研究对发表在特许商学院协会(ABS)排名期刊上的105篇同行评议文章进行了系统的文献综述,遵循PRISMA 2020(系统评价和荟萃分析的首选报告项目)指南,并使用TCCM(理论、背景、特征、方法)框架。文章最初从Scopus, Web of Science, EBSCOhost和Emerald Insight中检索,但只包括那些发表在abs排名期刊上的文章,符合预定义的质量标准。研究结果表明,补偿消费主要由自我差异理论、符号自我完成理论和补偿消费理论解释。开发了一个模型来映射前件、中介、结果和中介之间的关系。该报告还指出,从物质主义和地位驱动的行为向象征性、伦理性和体验性消费的转变。它通过整合支离破碎的观点和识别新兴的结构来促进理论。这篇综述还为伦理定位、符号价值创造和包容性品牌提供了管理指导,并概述了未来在未被探索的背景、理论视角和方法方法方面的研究方向。
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引用次数: 0
Consumer Response to Anthropomorphism of Text-Based AI Chatbots: A Systematic Literature Review and Future Research Directions 消费者对基于文本的人工智能聊天机器人拟人化的反应:系统文献综述及未来研究方向
IF 7.6 2区 管理学 Q1 BUSINESS Pub Date : 2025-08-12 DOI: 10.1111/ijcs.70108
Angela Greilich, Kerstin Bremser, Kirsten Wüst

The rapid advancement of artificial intelligence (AI) has not only integrated chatbots like ChatGPT into everyday life but also transformed customer relations in various industries. Despite their growing adoption, research on consumer responses and preferences toward AI chatbots remains limited. Anthropomorphism, the attribution of human characteristics to nonhuman entities, plays a crucial role in shaping these interactions. This systematic literature review (SLR) analyzes 84 research articles within the theories-context-characteristics-methods (TCCM) framework to provide a comprehensive overview of consumer responses to chatbot anthropomorphism. The findings reveal predominantly positive effects, with humanlike communication styles and emotional characteristics eliciting trust, empathy, and a sense of social presence. However, negative outcomes in the form of privacy concerns and AI anxiety from overly humanlike chatbots highlight the complex nature of humanized chatbots. New generative AI models amplify these risks, widening gaps in current research. Future research should address these gaps by exploring the opportunities and challenges of generative AI, emotional adaptability, personalized communication strategies, and the role of consumer technology affinity. By focusing exclusively on text-based chatbots, this review offers a unique perspective that augments existing literature on consumer responses to AI chatbots, contributing to a better overall understanding of the underlying effects of anthropomorphism within the context of human–computer interactions.

人工智能(AI)的快速发展不仅使ChatGPT等聊天机器人融入日常生活,而且改变了各个行业的客户关系。尽管越来越多的人采用人工智能聊天机器人,但关于消费者对人工智能聊天机器人的反应和偏好的研究仍然有限。拟人论,即将人类特征归因给非人类实体,在形成这些互动中起着至关重要的作用。本文从理论-情境-特征-方法(TCCM)的角度分析了84篇研究论文,对消费者对聊天机器人拟人化的反应进行了全面的综述。研究结果主要显示了积极的影响,与人类相似的沟通方式和情感特征引发了信任、同理心和社会存在感。然而,过于人性化的聊天机器人带来的隐私担忧和人工智能焦虑等负面后果凸显了人性化聊天机器人的复杂性。新的生成式人工智能模型放大了这些风险,扩大了当前研究中的差距。未来的研究应该通过探索生成式人工智能、情感适应性、个性化沟通策略以及消费者技术亲和力的作用来解决这些差距。通过专注于基于文本的聊天机器人,本综述提供了一个独特的视角,增加了关于消费者对人工智能聊天机器人反应的现有文献,有助于更好地全面理解人机交互背景下拟人化的潜在影响。
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引用次数: 0
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