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Turning buzz into behavior: Shopping companions as buffers against ambivalence in novelty marketing 将话题转化为行为:购物伙伴作为新奇营销中矛盾心理的缓冲
IF 13.1 1区 管理学 Q1 BUSINESS Pub Date : 2026-04-01 Epub Date: 2026-02-12 DOI: 10.1016/j.jretconser.2026.104745
Hanwen Bi , Yi Huang , Xinye Hu , Yu Pan
Promoting consumer adoption of novelty products requires attention to both firms' marketing strategies and the psychological processes underlying consumer decision-making. Although novelty products often spark curiosity due to their uniqueness, they also elicit uncertainty and perceived risk, generating emotional ambivalence that inhibits consumers from acting on their initial interest. This research proposes that leveraging shopping companions can serve as an effective marketing strategy to reduce such ambivalence and, in turn, increase consumers’ acceptance of novelty products. Across seven studies—including laboratory experiments and large language model (LLM)-based text analysis—we demonstrate that shopping companions, particularly close friends, systematically reduce emotional ambivalence and lead to more favorable evaluations of novelty products. This companion effect holds for both low-priced and high-priced products. We also identify key boundary conditions: the effect is stronger for hedonic than utilitarian products, and it is moderated by price impact. When the novelty option carries a price premium over a regular alternative, the companion effect diminishes. Furthermore, the benefit does not extend to consumers high in fear of negative evaluation (FNE), for whom companion presence fails to reduce ambivalence. Together, these findings highlight the strategic value of integrating companion-based marketing with novelty-driven product design and communication, offering firms a powerful pathway to enhance consumer adoption in competitive marketplaces.
促进消费者对新奇产品的采用需要关注公司的营销策略和消费者决策背后的心理过程。虽然新奇的产品往往因其独特性而激发人们的好奇心,但它们也会引发不确定性和感知风险,产生情感上的矛盾心理,阻碍消费者按照最初的兴趣行事。本研究提出,利用购物伙伴可以作为一种有效的营销策略来减少这种矛盾心理,进而增加消费者对新奇产品的接受度。通过包括实验室实验和基于大语言模型(LLM)的文本分析在内的七项研究,我们证明了购物同伴,特别是亲密的朋友,系统地减少了情感矛盾心理,并导致对新奇产品的更有利的评价。这种伴随效应对低价产品和高价产品都适用。我们还确定了关键的边界条件:享乐产品的影响比实用产品更强,并且受价格影响的调节。当新奇的选择比常规的选择有溢价时,伴随效应就会减弱。此外,这种好处并没有延伸到对负面评价的高度恐惧的消费者(FNE),对他们来说,伴侣的存在并不能减少矛盾心理。总之,这些发现强调了将基于伙伴的营销与创新驱动的产品设计和沟通相结合的战略价值,为企业提供了在竞争激烈的市场中提高消费者接受度的有力途径。
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引用次数: 0
Co-created value in live-streaming commerce: Conceptualization, measurement and validation 直播商业中的共同创造价值:概念化、测量和验证
IF 13.1 1区 管理学 Q1 BUSINESS Pub Date : 2026-04-01 Epub Date: 2026-02-10 DOI: 10.1016/j.jretconser.2026.104760
Hamed Azad Moghddam , Gary Mortimer
Live-streaming commerce (LSC) has emerged as a transformative digital channel, enabling real-time interaction, immersion, and value co-creation among streamers, consumers, and online communities. However, research on how co-created value can be conceptualized and measured in this context remains limited. This study develops and validates the Co-Created Value in Livestreaming Commerce (CCV-LSC) scale, grounded in Service-Dominant Logic and the DART framework—Dialogue, Access, Risk Assessment, and Transparency. Using a four-study design, qualitative interviews, expert evaluations, and large-scale surveys are employed to generate, refine, and test the measurement model. Findings show that CCV-LSC is a multidimensional construct that captures both the classic DART dimensions and live-streaming specific features such as consumer-to-consumer interaction and perceptions of fairness. Importantly, CCV-LSC significantly predicts sustainable consumer engagement, underscoring its strategic role in building long-term relationships. The study contributes theoretically by extending co-creation theory into a digital retail context, methodologically by offering a validated scale, and practically by providing actionable insights for platforms and brands seeking to strengthen consumer trust, engagement, and loyalty.
直播商务(LSC)已经成为一种变革性的数字渠道,可以在主播、消费者和在线社区之间实现实时互动、沉浸和价值共同创造。然而,在这种背景下如何概念化和衡量共同创造价值的研究仍然有限。本研究以服务主导逻辑和DART框架(对话、访问、风险评估和透明度)为基础,开发并验证了直播商业共同创造价值(CCV-LSC)规模。采用四项研究设计、定性访谈、专家评估和大规模调查来生成、完善和测试测量模型。研究结果表明,CCV-LSC是一个多维结构,既捕获了经典的DART维度,也捕获了实时流媒体的特定特征,如消费者对消费者的互动和对公平的看法。重要的是,CCV-LSC显著地预测了可持续的消费者参与,强调了其在建立长期关系中的战略作用。该研究在理论上的贡献是将共同创造理论扩展到数字零售环境中,在方法上提供了一个经过验证的规模,在实践上为寻求增强消费者信任、参与度和忠诚度的平台和品牌提供了可操作的见解。
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引用次数: 0
Face meets machine: How price promotions shape consumer preference for virtual assistants (VAs) vs. human in luxury retail 人脸与机器的相遇:奢侈品零售中价格促销如何塑造消费者对虚拟助手(VAs)与真人的偏好
IF 13.1 1区 管理学 Q1 BUSINESS Pub Date : 2026-04-01 Epub Date: 2026-02-12 DOI: 10.1016/j.jretconser.2026.104767
Xiaoping Zhang , Linlin Su
Advances in artificial intelligence encourage luxury firms to consider virtual assistants (VAs) as frontline service providers. It is thus important to understand whether consumers are willing to accept VAs as service providers in luxury retail. Drawing on face theory, this study examines consumer preferences for VAs versus human salespeople under price promotion versus full-price conditions. We also test the mediating effect of face consciousness and the moderating role of concern for face. Across three studies and an additional robustness check, we find that consumers prefer VAs under price discount conditions but prefer human salespeople in full-price luxury consumption. This phenomenon is explained by face consciousness. When purchasing full-price luxury products, consumers perceive more face gain if a salesperson provides service. In contrast, when price discounts are offered, consumers perceive less face loss if a VA provides service. Our result also indicates that differences in the stable individual trait of concern for face strengthen these effects, which further supports that face consciousness is an important mechanism in luxury consumption. Our findings offer insights for luxury firms to deploy and design VAs to meet consumers’ needs for signaling social status by purchasing luxury products.
人工智能的进步促使奢侈品公司将虚拟助理(VAs)视为一线服务提供商。因此,了解消费者是否愿意接受VAs作为奢侈品零售的服务提供商是很重要的。利用面部理论,本研究考察了在价格促销和全价条件下,消费者对自动售货机和真人销售人员的偏好。我们还检验了面孔意识的中介作用和面孔关注的调节作用。通过三项研究和额外的稳健性检验,我们发现消费者在价格折扣条件下更喜欢人工智能,但在全价奢侈品消费中更喜欢人工销售人员。这种现象可以用脸意识来解释。当消费者购买全价奢侈品时,如果销售人员提供服务,消费者会觉得更多的面子利益。相比之下,当提供价格折扣时,如果VA提供服务,消费者会觉得面子损失较小。我们的研究结果还表明,稳定的个人特征“关注面孔”的差异强化了这些效应,这进一步支持了面孔意识是奢侈品消费的重要机制。我们的研究结果为奢侈品公司部署和设计VAs提供了见解,以满足消费者通过购买奢侈品来显示社会地位的需求。
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引用次数: 0
Crafting the customer e-journey: The role of digital anticipation nudges in a seamless delivery experience and actual purchasing behavior online 打造客户电子旅程:数字预期在无缝交付体验和实际在线购买行为中发挥着推动作用
IF 13.1 1区 管理学 Q1 BUSINESS Pub Date : 2026-04-01 Epub Date: 2026-02-14 DOI: 10.1016/j.jretconser.2026.104747
Antonin Woimant , Nadia Steils , Isabelle Collin-Lachaud
Despite the boom in e-commerce, dropout rates between the stages of the e-commerce customer journey are high. Although prior research has assumed that these stages flow seamlessly, it has yet to examine how one can actively shape stage transitions. We address this gap by theorizing and demonstrating how digital anticipation nudges can facilitate the progression between e-journey stages. In particular, the use of digital nudges to provide informational cues about future journey stages could help customers complete their entire e-journey and influence actual purchases. Based on anticipation and digital nudging principles, our research encompasses five studies conducted in collaboration with a major e-retailer: a qualitative study, three large-scale field experiments, and a controlled experiment. Applying this methodology, we explain how digital anticipation nudges can be used as an approach to smoothing e-journey stage transitions, reducing consumer risk perception through anticipation, and thus impacting both intended and actual purchasing behaviors. Our results further show that the extent of moderating effects depends on product type, nudge type, and psychologically close nudge information. Finally, our findings contribute to a nuanced understanding of customer e-journeys that highlights the strategic use of anticipation nudges to facilitate consumers’ journey progression.
尽管电子商务蓬勃发展,但电子商务客户旅程各阶段之间的辍学率很高。尽管之前的研究已经假设这些阶段是无缝衔接的,但还没有研究如何积极地塑造阶段过渡。我们通过理论化和演示数字预期推动如何促进电子旅行阶段之间的进展来解决这一差距。特别是,使用数字推动来提供关于未来旅行阶段的信息线索,可以帮助客户完成整个电子旅行,并影响实际购买。基于预测和数字推动原则,我们的研究包括与一家大型电子零售商合作进行的五项研究:一项定性研究,三项大规模现场实验和一项对照实验。运用这一方法,我们解释了数字预期推动如何被用作平滑电子旅行阶段过渡的方法,通过预期降低消费者的风险感知,从而影响预期和实际的购买行为。我们的研究结果进一步表明,调节效应的程度取决于产品类型,轻推类型和心理上接近的轻推信息。最后,我们的研究结果有助于对客户电子旅程进行细致入微的理解,强调了预期推动的战略性使用,以促进消费者的旅程进展。
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引用次数: 0
When algorithms meet ethics: Mapping consumer moral responses to AI versus human marketing practices 当算法遇到伦理:绘制消费者对人工智能与人类营销实践的道德反应
IF 13.1 1区 管理学 Q1 BUSINESS Pub Date : 2026-04-01 Epub Date: 2026-01-20 DOI: 10.1016/j.jretconser.2026.104729
Tana Gegen , Junwu Chai , Wenlin Chen , Gladys Wauk
In the contemporary digital marketing environment, companies generally conceal a key paradox through grand narratives of consumer empowerment: technological empowerment may lead to a loosening of consumers' ethical frameworks. This contradiction has given rise to an urgent theoretical dilemma: how to understand and reconcile consumer ethical behavior in the context of AI marketing? Drawing on the Hunt-Vitell moral framework, this study provides initial evidence through three experiments: AI customer service is more likely to induce unethical consumer behavior than human customer service, and this result remains robust after controlling for demographic variables. In-depth exploration of the underlying mechanism of this phenomenon, our findings are consistent with a dual-path psychological model: the systematic nature of AI activates consumers' teleological assessment tendencies, making it easier to rationalize unethical behavior through a result-oriented approach, while the emotional interaction of human customer service evokes deontological judgments, guiding consumers to weigh the moral dimensions of their behavior. Notably, the subtle yet critical moderating role played by service recovery strategies in this process is evident: insufficient recovery can exacerbate the adverse effects of teleological evaluation, while effective recovery can effectively inhibit unethical behavior by enhancing deontological judgments. By analyzing typical scenarios, such as self-service bargaining, this study not only provides a cognitive assessment-based perspective on understanding how the algorithmic nature of AI systems can be exploited but also offers novel insights into the governance of marketing ethics in the digital age.
在当代数字营销环境中,企业通常通过消费者赋权的宏大叙事来掩盖一个关键的悖论:技术赋权可能导致消费者道德框架的松动。这种矛盾引发了一个迫切的理论困境:如何理解和调和人工智能营销背景下的消费者道德行为?利用Hunt-Vitell道德框架,本研究通过三个实验提供了初步证据:人工智能客户服务比人类客户服务更有可能诱发不道德的消费者行为,并且在控制人口变量后,这一结果仍然是稳健的。深入探索这一现象的潜在机制,我们的发现与双路径心理学模型一致:人工智能的系统性激活了消费者的目的论评估倾向,使其更容易通过结果导向的方法合理化不道德的行为,而人类客户服务的情感互动唤起了道义判断,引导消费者权衡其行为的道德维度。值得注意的是,服务恢复策略在这一过程中发挥的微妙而关键的调节作用是显而易见的:不充分的恢复会加剧目的论评价的不利影响,而有效的恢复可以通过增强道义判断而有效地抑制不道德行为。通过分析自助议价等典型场景,本研究不仅为理解如何利用人工智能系统的算法本质提供了基于认知评估的视角,而且还为数字时代的营销伦理治理提供了新颖的见解。
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引用次数: 0
Indulgent or self-controlled? How streamer characteristics and health-threat message framing drive purchase intentions 放纵还是自我控制?流光特征和健康威胁信息框架如何驱动购买意向
IF 13.1 1区 管理学 Q1 BUSINESS Pub Date : 2026-04-01 Epub Date: 2026-01-22 DOI: 10.1016/j.jretconser.2026.104722
Yanzhe Yuan, Jiraporn Surachartkumtonkun, Wei Shao, Haroon Iqbal Maseeh, Yaning Zhang
Health-related live-streaming commerce increasingly relies on streamers to shape consumers' understanding of product claims, yet little is known about how lifestyle-oriented streamer characteristics interact with message framing to influence persuasion. This research aims to examine when and why streamer characteristics enhance or undermine the effectiveness of health-threat communication in live-streaming contexts. Drawing on Schema Congruity Theory and Regulatory Focus Theory, we conduct five pretests and four scenario-based experiments involving 3676 participants across multiple health-related product categories. The studies manipulate streamer characteristics (indulgent vs. self-controlled), health-threat message framing (high vs. low), and consumers' regulatory focus. The results reveal a robust matching effect: self-controlled streamers are more persuasive when delivering high-threat messages, whereas indulgent streamers are more effective when presenting low health-threat information. This congruence increases purchase intentions by enhancing perceived diagnosticity and reducing psychological reactance. Moreover, these effects are contingent on consumers’ motivational orientation—promotion-focused consumers respond more favourably to indulgent streamers paired with low health-threat messages, while prevention-focused consumers show the strongest responses to self-controlled streamers delivering high-threat information. The findings advance research on interactive commerce and health communication by identifying lifestyle-based streamer cues as a key driver of persuasion and by clarifying the psychological mechanisms and boundary conditions underlying these effects. From a managerial perspective, the results highlight the importance of aligning streamer characteristics, message framing, and audience segmentation in health-related live-streaming campaigns.
与健康相关的直播商业越来越依赖于流媒体来塑造消费者对产品声明的理解,但人们对以生活方式为导向的流媒体特征如何与信息框架相互作用以影响说服力知之甚少。本研究旨在研究流媒体特征何时以及为何会增强或破坏直播环境中健康威胁传播的有效性。利用图式一致性理论和调节焦点理论,我们进行了5个预测试和4个基于场景的实验,涉及3676名参与者,涉及多个健康相关产品类别。这些研究操纵了流媒体特征(放纵与自我控制)、健康威胁信息框架(高与低)和消费者的监管焦点。结果显示了一个强大的匹配效应:自我控制的流媒体在传递高威胁信息时更有说服力,而放纵的流媒体在传递低健康威胁信息时更有效。这种一致性通过增强感知诊断性和减少心理抗拒来增加购买意图。此外,这些影响取决于消费者的动机取向——以促销为重点的消费者对播放低健康威胁信息的放纵主播反应更积极,而以预防为重点的消费者对播放高威胁信息的自我控制主播反应最强烈。这些发现通过确定基于生活方式的流线线索是说服的关键驱动因素,并通过阐明这些影响背后的心理机制和边界条件,推进了互动商业和健康传播的研究。从管理的角度来看,研究结果强调了在与健康相关的直播活动中调整流媒体特征、信息框架和受众细分的重要性。
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引用次数: 0
Engaging with intelligence: AIMA scale for artificial intelligence marketing activities in E-commerce 参与智能:面向电子商务领域人工智能营销活动的AIMA量表
IF 13.1 1区 管理学 Q1 BUSINESS Pub Date : 2026-04-01 Epub Date: 2026-01-20 DOI: 10.1016/j.jretconser.2026.104725
Rajat Kukreti, Mayank Yadav
The aim of this research is to conceptualize and develop a multidimensional construct of Artificial Intelligence Marketing Activity (AIMA) to measure consumers' attitudes toward AI-infused marketing in electronic commerce. The study fills a literature gap by using a rigorous, multiple-step scale development methodology, consisting of literature searches, qualitative focus groups, open-ended questioning, expert assessments, and quantitative validation tests. Results of exploratory factor analysis, confirmatory factor analysis, AIMA construct structure definition, reliability, convergent and discriminant validity, test-retest reliability, and nomological validity are assessed using structural equation models. Findings indicate AIMA is a six-dimensional construct (affinity, customization, information, interaction, problem-solving, and responsiveness), using an 18-item scale, representing a robust instrument with sound psychometric criteria, in addition to test-retest reliability. The AIMA instrument validates an effective way to measure consumers' attitudes toward AI-infused marketing in the context of electronic commerce. The AIMA scale is a diagnostic instrument in its strategic usage, though not prescriptive; it is predictive in nature but is used in attributing importance to AIM practices in evidence-based customer engagement strategic decision-making in an AI-driven context that might require cross-validation testing in diverse settings to avoid generalization shortcomings.
本研究的目的是概念化和开发人工智能营销活动(AIMA)的多维结构,以衡量消费者对电子商务中人工智能营销的态度。该研究通过使用严格的多步骤量表开发方法填补了文献空白,该方法包括文献检索、定性焦点小组、开放式问题、专家评估和定量验证测试。采用结构方程模型对探索性因子分析、验证性因子分析、AIMA结构定义、信度、收敛效度和判别效度、重测信度和法效度进行评价。研究结果表明,AIMA是一个六维结构(亲和、定制、信息、互动、解决问题和响应性),使用18项量表,代表了一个强大的工具,具有健全的心理测量标准,以及测试-重测信度。AIMA工具验证了一种有效的方法来衡量消费者对电子商务背景下人工智能营销的态度。AIMA量表在战略使用上是一种诊断工具,尽管不是规定性的;它本质上是预测性的,但在人工智能驱动的环境中,在基于证据的客户参与战略决策中,它被用于赋予AIM实践的重要性,这可能需要在不同的环境中进行交叉验证测试,以避免泛化的缺点。
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引用次数: 0
From consolidation to fragmentation: How removing shipping thresholds reshapes purchase behaviour 从整合到分裂:移除运输门槛如何重塑购买行为
IF 13.1 1区 管理学 Q1 BUSINESS Pub Date : 2026-04-01 Epub Date: 2026-01-27 DOI: 10.1016/j.jretconser.2026.104742
Weilu Sun , Yimeng Zhang , Yongyue Bie , Qiang Guo
Premium membership programmes such as Amazon Prime and JD Plus aim to deepen customer loyalty by removing shipping frictions. While prior research has documented their positive effects on long-term retention and net revenue, much less is known about how they reshape the micro-level structure of transactions and the associated cost-to-serve. We examine a “purchase fragmentation dilemma,” in which eliminating a free-shipping threshold increases purchase frequency but reduces average order value (AOV), thereby undermining transactional efficiency. Using large-scale transaction data from a leading e-commerce platform, we employ propensity score matching with regression adjustment and a quasi-experimental comparison based on institutional variation as supportive triangulation. Our estimates indicate that membership is associated with higher engagement but a statistically significant 2.5 % reduction in AOV, driven primarily by a downward shift in price mix rather than item count. Model-free evidence from bunching around the shipping cut-off shows that non-members strategically consolidate orders to clear the threshold, whereas members purchase on demand. These results reveal a fundamental trade-off in membership programme design: smaller, more frequent orders can erode efficiency gains from higher engagement, complementing prior revenue-focused findings with a micro-mechanism and operational perspective. We formalize this trade-off with a Membership True Net Value (MTNV) framework and discuss implications for platform strategy, including tiered memberships and consolidation incentives.
亚马逊Prime和京东Plus等高级会员计划旨在通过消除运输摩擦来加深客户忠诚度。虽然之前的研究已经证明了它们对长期留存率和净收入的积极影响,但对于它们如何重塑微观层面的交易结构和相关的服务成本,我们所知甚少。我们研究了“购买碎片困境”,其中取消免运费门槛增加了购买频率,但降低了平均订单价值(AOV),从而破坏了交易效率。利用某领先电子商务平台的大规模交易数据,我们采用倾向得分匹配与回归调整和基于制度差异的准实验比较作为支持三角测量。我们的估计表明,会员资格与更高的粘性有关,但统计上显着减少了2.5%的AOV,主要是由于价格组合的下降而不是商品数量。没有模型的证据表明,在发货截止日期附近聚集的非会员战略性地整合订单以清除阈值,而会员则按需购买。这些结果揭示了会员计划设计中的一个基本权衡:更小、更频繁的订单可能会削弱高参与度带来的效率收益,从而用微观机制和运营角度补充了之前以收入为重点的研究结果。我们将这种权衡与会员真实净值(MTNV)框架形式化,并讨论了平台战略的影响,包括分层会员和整合激励。
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引用次数: 0
RFID in smart retailing: The roles of shopping experience, technostress, and disconfirmation sensitivity in driving repurchase intention 智能零售中的RFID:购物体验、技术压力和不确认敏感度在驱动再购买意愿中的作用
IF 13.1 1区 管理学 Q1 BUSINESS Pub Date : 2026-04-01 Epub Date: 2026-01-16 DOI: 10.1016/j.jretconser.2026.104728
Phuong Viet Le-Hoang, Nguyen Tan Loi
As digital technologies advance rapidly, consumer experiences worldwide are being redefined, with radio frequency identification (RFID) emerging as a key enabler of smart retail. This study investigates how RFID-enabled retail capabilities influence repurchase intention, emphasizing the mediator of shopping experience and the moderators of technostress and disconfirmation sensitivity. Data were collected from 410 consumers in Ho Chi Minh City using stratified sampling across four retail strata (hypermarkets, supermarkets, shopping mall stores, and specialty stores), yielding 359 valid responses analyzed via Structural Equation Model on SmartPLS 4.0. The results show that RFID-enabled service attributes and RFID-enabled inventory visibility management enhance shopping experience, which in turn fosters repurchase intention. Technostress negatively moderates this process, diminishing consumer experience, whereas disconfirmation sensitivity strengthens the link between shopping experience and rebuying intention by amplifying the impact of expectation fulfillment. These results highlight both the benefits and challenges of technology adoption in retail: while operational technologies improve efficiency and customer value, psychological responses can either weaken or reinforce outcomes. From a managerial perspective, retailers should leverage RFID and inventory systems to enhance experience, mitigate technology stress, and manage customer expectations. Theoretically, this study deepens insights into technology-driven consumer behavior through the integration of operational, psychological, and experiential perspectives.
随着数字技术的快速发展,全球消费者体验正在被重新定义,无线射频识别(RFID)成为智能零售的关键推动因素。本研究探讨rfid零售能力如何影响再购买意愿,强调购物体验的中介作用,以及技术压力和不确认敏感性的调节作用。通过对胡志明市四个零售阶层(大卖场、超市、购物中心商店和专卖店)的分层抽样,收集了410名消费者的数据,通过SmartPLS 4.0的结构方程模型分析了359个有效响应。结果表明,启用rfid的服务属性和启用rfid的库存可见性管理增强了购物体验,从而促进了再购买意愿。技术压力负向调节了这一过程,减少了消费者体验,而不确认敏感性通过放大期望实现的影响,加强了购物体验和再购买意愿之间的联系。这些结果强调了在零售业中采用技术的好处和挑战:虽然运营技术提高了效率和客户价值,但心理反应可能会削弱或加强结果。从管理的角度来看,零售商应该利用RFID和库存系统来提高体验,减轻技术压力,并管理客户期望。从理论上讲,本研究通过整合操作、心理和经验的角度,加深了对技术驱动的消费者行为的见解。
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引用次数: 0
The asymmetric impact of air pollution on livestream E-commerce sales 空气污染对电商直播销售的不对称影响
IF 13.1 1区 管理学 Q1 BUSINESS Pub Date : 2026-04-01 Epub Date: 2026-02-13 DOI: 10.1016/j.jretconser.2026.104723
Jin Hu , Kaiya Wu , Minmin Huang , Muhammad Irfan , Mingjun Hu
This study examines the relationship between air pollution and livestream sales in the context of livestream e-commerce, contributing to the literature on environmental economics and adaptive e-commerce strategies. Using fixed effects model and high-frequency transaction data from the TikTok platform, we establish a causal link between air quality, measured by the Air Quality Index (AQI), and livestream e-commerce sales, revealing asymmetric responses. Specifically, a 50-point increase in AQI—equivalent to a shift from “moderate” to “unhealthy” air quality—results in a 4% increase in livestream e-commerce sales. This effect is driven by behavioral and strategic adjustments by streamers. The impact of air pollution on livestream e-commerce sales varies geographically and climatically, with significant temporal asymmetry, peaking five days after the pollution and declining by the sixth day. While the economic impact is notable, the broader societal costs of air pollution remain substantial. These findings provide key insights into how environmental factors, particularly air quality, shape livestream sales in real time, offering practical implications for e-commerce stakeholders seeking to capitalize on content strategy. Additionally, they highlight the pressing need for policy measures aimed at reducing air pollution episodes. Limitations include coarse product classification and lack of individual-level data, suggesting future research explore finer product categories and heterogeneous consumer responses.
本研究考察了在直播电子商务背景下空气污染与直播销售之间的关系,为环境经济学和适应性电子商务战略的文献做出了贡献。利用固定效应模型和TikTok平台的高频交易数据,我们建立了空气质量(由空气质量指数(AQI)衡量)与直播电商销售之间的因果关系,揭示了不对称反应。具体来说,空气质量指数每上升50点,相当于空气质量从“中等”变为“不健康”,直播电商销售额就会增长4%。这种效应是由流媒体的行为和战略调整所驱动的。空气污染对电商直播销售的影响因地域和气候而异,具有明显的时间不对称性,在污染发生后5天达到峰值,在第六天下降。虽然经济影响显著,但空气污染的更广泛社会成本仍然很高。这些发现为了解环境因素(尤其是空气质量)如何实时影响直播销售提供了关键见解,为寻求利用内容战略的电子商务利益相关者提供了实际意义。此外,它们强调迫切需要采取旨在减少空气污染事件的政策措施。局限性包括粗糙的产品分类和缺乏个人层面的数据,建议未来的研究探索更精细的产品类别和异质的消费者反应。
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引用次数: 0
期刊
Journal of Retailing and Consumer Services
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