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Exploring consumer sentiments and opinions in wine E-commerce: A cross-country comparative study 探索葡萄酒电子商务中的消费者情感和观点:跨国比较研究
IF 11 1区 管理学 Q1 BUSINESS Pub Date : 2024-09-29 DOI: 10.1016/j.jretconser.2024.104097
Wine e-commerce has witnessed a substantial surge in popularity over the past decade, with China, the United Kingdom, and the United States emerging as pivotal players in the global wine market. E-commerce, crucial for the food sector especially post-COVID-19, influences consumer choices through reviews and feedback, significantly affecting consumer engagement, satisfaction, trust, and purchase intentions. Despite extensive research on consumer behavior, there's a gap in understanding post-purchase satisfaction, especially within wine e-commerce. This study aims to address this by examining wine consumer feedback on leading wine e-commerce platforms in three prominent markets: China, the UK, and the US. It aims to help online wine sellers in developing targeted marketing strategies to enhance consumer satisfaction and sales in each unique wine market. Through text mining, the study reveals market-specific differences in consumers' sentiments, preferences, and aversions arising from their online wine shopping experiences, providing a detailed guide for wine producers and e-commerce platforms to optimize their products and online services.
过去十年间,葡萄酒电子商务的普及率大幅上升,中国、英国和美国成为全球葡萄酒市场上举足轻重的角色。电子商务对食品行业至关重要,尤其是在 "COVID-19 "之后,它通过评论和反馈影响消费者的选择,对消费者的参与度、满意度、信任度和购买意向产生重大影响。尽管对消费者行为进行了广泛的研究,但在了解购买后满意度方面仍存在差距,尤其是在葡萄酒电子商务领域。本研究旨在通过研究三个主要市场中领先葡萄酒电子商务平台上的葡萄酒消费者反馈来解决这一问题:中国、英国和美国。其目的是帮助在线葡萄酒销售商制定有针对性的营销策略,以提高消费者满意度和每个独特葡萄酒市场的销售额。通过文本挖掘,该研究揭示了特定市场消费者在网上葡萄酒购物体验中产生的情感、偏好和厌恶方面的差异,为葡萄酒生产商和电子商务平台优化其产品和在线服务提供了详细指导。
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引用次数: 0
AI assistant is my new best friend! Role of emotional disclosure, performance expectations and intention to reuse 人工智能助手是我最好的新朋友情感披露、绩效预期和重用意愿的作用
IF 11 1区 管理学 Q1 BUSINESS Pub Date : 2024-09-27 DOI: 10.1016/j.jretconser.2024.104087
In this modern era, high-tech companies are launching their AI assistants, considering their role in shaping consumer behavior. This research sheds light by building a conceptual framework using dual process theory to determine the impact of AI assistant advantage on user engagement and user emotional disclosure, subsequently influencing the intention to reuse AI with the moderating role of performance expectation. Using a random sampling method, a structured questionnaire was used for data collection from 644 consumers. The findings show that AI assistant advantages positively impact user engagement, and user emotional disclosure increases the intention to reuse AI assistants. This impact of user engagement and user emotional disclosure, along with performance expectations, maximizes the reuse intention of AI. Managers and marketers in the AI environment can insinuate the study methods to increase the intention of reuse and may transform their marketing strategies to promote their businesses using AI more effectively.
在当今时代,高科技公司纷纷推出自己的人工智能助手,考虑其在塑造消费者行为方面的作用。本研究利用双重过程理论构建了一个概念框架,以确定人工智能助手的优势对用户参与和用户情感披露的影响,进而在性能预期的调节作用下影响用户重用人工智能的意愿。研究采用随机抽样方法,对 644 名消费者进行了结构化问卷调查。研究结果表明,人工智能助手的优势会对用户参与度产生积极影响,而用户情感披露会提高人工智能助手的重用意愿。这种用户参与和用户情感披露的影响,再加上性能预期,最大限度地提高了人工智能的重用意向。人工智能环境中的管理者和营销人员可以借鉴研究方法来提高重用意向,并可以转变营销策略,更有效地利用人工智能促进业务发展。
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引用次数: 0
Metaverse consumer behavior: Investigating factors driving consumer participation in the transitory metaverse, avatar personalization, and digital fashion adoption 元宇宙消费者行为:调查推动消费者参与过渡性元宇宙、虚拟化身个性化和采用数字时尚的因素
IF 11 1区 管理学 Q1 BUSINESS Pub Date : 2024-09-26 DOI: 10.1016/j.jretconser.2024.104094
The transitory metaverse shows promise for retail and marketing, but further academic research is needed to fully understand its dynamics. Despite previous exploration, empirical insights from consumer perspectives on the three core elements of the transitory metaverse (online shared 3D space, digital avatar, and digital object) and their influence on its adoption are lacking, with much of the previous work remaining conceptual. This gap limits our understanding of the nuanced factors driving consumers’ participation in the transitory metaverse, their avatar personalization, and the adoption of branded digital fashion within the platform. To address this, our study employed a qualitative research approach, gathering textual narrative responses from 81 U.S. consumers through an online survey that included open-ended questions. We focused on their perceptions and experiences of transitory metaverse engagement, avatar personalization, and branded digital fashion within a representative transitory metaverse platform, Animal Crossing. Through inductive analysis of the qualitative data, we identified three main themes for consumer motivations in the transitory metaverse: serene escape, virtual ownership and empowerment, and liminal interaction. Similarly, three key themes emerged for avatar customization: mood-driven self-expression, liberation from societal norms, and social recognition. Users perceived their avatars as virtual doppelgängers, idealized selves, or virtual dolls. Regarding branded digital fashion adoption, four themes emerged: aesthetic appeal, affordability, connection to the real world, and support for favorite real-life brands. Based on these findings, we propose a conceptual framework and discuss their implications for both theory and practice.
过渡元宇宙为零售和市场营销带来了希望,但要充分了解其动态还需要进一步的学术研究。尽管以前进行过探索,但仍缺乏从消费者角度对过渡元宇宙三个核心要素(在线共享三维空间、数字化身和数字对象)及其对采用的影响的实证见解,以前的大部分工作仍停留在概念上。这一空白限制了我们对消费者参与过渡元宇宙、其化身个性化以及在该平台上采用品牌数字时尚的细微因素的理解。为了解决这个问题,我们的研究采用了定性研究方法,通过包含开放式问题的在线调查收集了 81 位美国消费者的文字叙述回答。我们重点研究了他们对过渡元宇宙参与、化身个性化和《动物之森》这一代表性过渡元宇宙平台中的品牌数字时尚的看法和体验。通过对定性数据的归纳分析,我们确定了消费者在过渡元宇宙中的三个主要动机主题:宁静的逃避、虚拟所有权和赋权以及边缘互动。同样,化身定制也出现了三个关键主题:情绪驱动的自我表达、从社会规范中解放出来以及社会认可。用户认为他们的化身是虚拟的二重身、理想化的自我或虚拟玩偶。关于品牌数字时尚的采用,出现了四个主题:审美吸引力、可负担性、与现实世界的联系以及对最喜爱的现实生活品牌的支持。基于这些发现,我们提出了一个概念框架,并讨论了其对理论和实践的影响。
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引用次数: 0
Using necessary condition analysis to complement multigroup analysis in partial least squares structural equation modeling 在偏最小二乘结构方程建模中使用必要条件分析法补充多组分析法
IF 11 1区 管理学 Q1 BUSINESS Pub Date : 2024-09-23 DOI: 10.1016/j.jretconser.2024.104018
With the growing importance of partial least squares structural equation modeling (PLS-SEM) in marketing and consumer research, the use of Multigroup Analysis (MGA) for discovering observed heterogeneity (i.e., differences in relationships between variables for subgroups of the population under investigation) and deriving relevant operational results has become of great interest. However, these analyses are based exclusively on an additive sufficiency logic and do not permit researchers to test and validate hypotheses drawing on a necessity logic, the latter having been the focus of recent significant developments. Addressing this concern, the present paper offers guidelines for combining the use of Necessary Condition Analysis (NCA) and MGA performed with PLS-SEM. Taken together, these analyses can explore and improve knowledge about predefined subgroups of interest, enhance the understanding of relationships, refine the role of specific key antecedents by discovering meaningful necessary conditions, and therewith, contribute to theorizing. An empirical illustration drawing on the relationship between corporate social responsibility and customer loyalty is developed in a step-by-step fashion to provide marketing researchers with the guidelines to conduct the MGA and NCA, and finally report and interpret the results in accordance with both the sufficiency and the necessity logics. This integrative procedure contributes to the advancement of PLS-SEM applications. By delivering a better understanding of the group-specific results of a PLS-SEM–based MGA in a necessity logic, it promotes the complementary usage of sufficiency and necessity logics and therefore helps researchers to uncover novel theoretical and practical results when evaluating the data.
随着偏最小二乘结构方程建模(PLS-SEM)在市场营销和消费者研究中的重要性与日俱增,使用多组分析法(MGA)来发现观察到的异质性(即被调查人群的子群体中变量之间关系的差异)并得出相关的操作结果已引起了极大的兴趣。然而,这些分析完全基于加法充分性逻辑,不允许研究人员测试和验证基于必要性逻辑的假设,而后者是近期重大发展的重点。针对这一问题,本文提供了结合使用必要条件分析法(NCA)和多因素分析法(MGA)以及 PLS-SEM 的指导原则。这些分析结合在一起,可以探索和改进有关预定义兴趣子群的知识,加强对各种关系的理解,通过发现有意义的必要条件来完善特定关键前因的作用,从而为理论化做出贡献。本文以企业社会责任与客户忠诚度之间的关系为实证例证,循序渐进地为营销研究人员提供了进行 MGA 和 NCA 的指南,并最终按照充分性逻辑和必要性逻辑对结果进行报告和解释。这一综合程序有助于提高 PLS-SEM 的应用水平。通过在必然性逻辑中更好地理解基于 PLS-SEM 的 MGA 的特定组结果,它促进了充分性逻辑和必然性逻辑的互补使用,从而帮助研究人员在评估数据时发现新的理论和实践结果。
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引用次数: 0
Linking short- and long-term impacts of the government, consumers, and manufacturers on NEV sales and market share in China 将政府、消费者和制造商对中国新能源汽车销量和市场份额的短期和长期影响联系起来
IF 11 1区 管理学 Q1 BUSINESS Pub Date : 2024-09-23 DOI: 10.1016/j.jretconser.2024.104090
The accelerated expansion of the market for new energy vehicles (NEVs) is encountering obstacles. We aim to provide empirical evidence for optimizing policies and promoting the sustainable development of NEVs. Using monthly sales and market share data of NEVs in China from 2015 to 2023, this study employs vector autoregression and vector error correction models to assess the long-term and short-term effects of factors associated with government, consumers, and manufacturers on NEV adoption. The results indicate that governments and manufacturers play a key role in NEV promotion compared with consumers While manufacturer advertising temporarily boosts NEV presence, long-term market share gains hinge on their R&D. Delayed effects from consumer satisfaction highlight the need for manufacturer responsiveness. Post-subsidy, the government focus should pivot from consumer to manufacturer support. These findings have the potential to enhance our understanding of NEV development from the perspective of stakeholders and to offer valuable insights for the future development of NEVs.
新能源汽车(NEVs)市场的加速扩张正遭遇障碍。我们旨在为优化政策、促进新能源汽车的可持续发展提供实证依据。本研究利用 2015 年至 2023 年中国 NEV 的月度销量和市场份额数据,采用向量自回归和向量误差修正模型,评估了政府、消费者和制造商相关因素对 NEV 采用的长期和短期影响。研究结果表明,与消费者相比,政府和制造商在新能源汽车推广中发挥着关键作用。虽然制造商的广告宣传能暂时提升新能源汽车的市场占有率,但长期的市场占有率提升取决于其研发能力。消费者满意度的延迟效应凸显了制造商响应的必要性。补贴后,政府的重点应从消费者转向制造商支持。这些发现有可能从利益相关者的角度加深我们对新能源汽车发展的理解,并为新能源汽车的未来发展提供有价值的见解。
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引用次数: 0
Research on the driving factors and impact mechanisms of green new quality productive forces in high-tech retail enterprises under China's Dual Carbon Goals 中国双碳目标下高科技零售企业绿色新品质生产力的驱动因素及影响机制研究
IF 11 1区 管理学 Q1 BUSINESS Pub Date : 2024-09-22 DOI: 10.1016/j.jretconser.2024.104092
In recent years, the issue of global climate change has become increasingly severe, prompting countries worldwide to intensify their control over carbon emissions to achieve sustainable development goals. As a crucial component of the modern economy, high-tech retail enterprises significantly influence the entire industry's sustainable development through technological innovations and business models. This study focuses on Chinese high-tech retail enterprises, employing a theoretical framework grounded in Resource Dependency Theory and the dialectics of productive forces and relations from a Marxist political economy perspective, supported by Structural Equation Modeling (PLS-SEM). The study identifies the degree of green technology application, corporate environmental policy response strategies, and consumer environmental awareness and demand as mediating variables. The aim is to deeply explore the impact mechanisms driving green and new-quality productivity in Chinese high-tech retail enterprises and to provide an in-depth understanding of the sustainable development of their green and new-quality productivity. The findings indicate that external resources such as policy support, technological innovation, and market demand significantly impact the green productivity of high-tech retail enterprises. Government environmental policies and subsidy measures provide institutional safeguards and resource support for enterprises; technological innovation drives the application and efficiency improvement of green technologies; and market demand for environmentally friendly products promotes the green transformation of enterprises. The study explores how enterprises can integrate different external resources to maximize the benefits of green productivity, including formulating policy response strategies, strengthening technological innovation and R&D investment, seizing market opportunities, and establishing cooperative relationships. These findings offer necessary theoretical support and practical insights into the resource dependency strategies and the mechanisms impacting the development of green productivity in high-tech retail enterprises. This study provides valuable theoretical and practical references for high-tech retail enterprises in promoting the development of green and new-quality productivity. It offers valuable suggestions and guidance for enterprise decision-making and policy formulation. By revealing the dialectical interaction between external resources and internal production relations, this study provides a systematic path analysis and strategic recommendations for achieving the Dual Carbon goals.
近年来,全球气候变化问题日益严峻,促使世界各国加强对碳排放的控制,以实现可持续发展目标。作为现代经济的重要组成部分,高科技零售企业通过技术创新和商业模式对整个行业的可持续发展产生了重要影响。本研究以中国高科技零售企业为研究对象,采用马克思主义政治经济学视角下的资源依赖理论和生产力与关系辩证法为基础的理论框架,并辅以结构方程模型(PLS-SEM)。研究将绿色技术应用程度、企业环境政策应对策略、消费者环境意识和需求作为中介变量。目的是深入探讨驱动中国高科技零售企业绿色和新质量生产力的影响机制,深入理解其绿色和新质量生产力的可持续发展。研究结果表明,政策支持、技术创新和市场需求等外部资源对高科技零售企业的绿色生产率产生了重要影响。政府的环保政策和补贴措施为企业提供了制度保障和资源支持;技术创新推动了绿色技术的应用和效率提升;市场对环保产品的需求促进了企业的绿色转型。研究探讨了企业如何整合各种外部资源,实现绿色生产力效益最大化,包括制定政策应对策略、加强技术创新和研发投入、把握市场机遇、建立合作关系等。这些研究结果为高科技零售企业的资源依赖战略和绿色生产力发展的影响机制提供了必要的理论支持和实践启示。本研究为高科技零售企业促进绿色和新型生产力的发展提供了有价值的理论和实践参考。为企业决策和政策制定提供了有价值的建议和指导。本研究通过揭示外部资源与内部生产关系的辩证互动关系,为实现双碳目标提供了系统的路径分析和战略建议。
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引用次数: 0
Redefining retail catchment with mobile geolocation data: Insights from New Zealand 利用移动地理定位数据重新定义零售业覆盖范围:新西兰的启示
IF 11 1区 管理学 Q1 BUSINESS Pub Date : 2024-09-21 DOI: 10.1016/j.jretconser.2024.104089

This study pioneers a transformative approach to defining and measuring retail catchment areas, moving from traditional isochrone-based models to a behavioural, evidence-based framework that capitalises on mobile location data. Departing from conventional methods that rely on static geographic boundaries or potential travel times, we employ geofencing and geohash techniques to map the actual movements and behaviours of shoppers. This research offers an understanding of retail catchment areas by analysing an extensive dataset with over 117 million data points from approximately 1.6 million users in Auckland. Utilising the DBSCAN clustering algorithm and the concave hull method, we analyse and visualise the geographic extent of catchment areas based on the home-like locations of mall visitors. This refined approach enables us to deepen our comprehension of consumer travel patterns and shopping motivations, empowering retail managers to craft more targeted marketing and operational strategies. Our findings reveal marked deviations from traditionally assumed catchment boundaries, providing fresh insights into consumer behaviour and market dynamics. By redefining catchment areas to reflect actual consumer behaviour and spatial interactions, this research underscores the critical need for more data-driven approaches in the retail sector to adapt to evolving consumer preferences and behaviours.

这项研究开创了一种定义和测量零售业集聚区的变革性方法,从传统的基于等时线的模型转变为基于行为和证据的框架,并充分利用了移动定位数据。与依赖静态地理边界或潜在旅行时间的传统方法不同,我们采用了地理围栏和geohash技术来绘制购物者的实际移动和行为图。这项研究通过分析来自奥克兰约 160 万用户的超过 1.17 亿个数据点的广泛数据集,提供了对零售业集聚区的理解。我们利用 DBSCAN 聚类算法和凹面船体法,根据商场游客的家庭位置,分析并可视化了集聚区的地理范围。这种精炼的方法使我们能够加深对消费者旅行模式和购物动机的理解,使零售经理能够制定更有针对性的营销和运营策略。我们的研究结果表明,传统假设的集聚区边界存在明显偏差,这为我们提供了对消费者行为和市场动态的新见解。通过重新定义覆盖区域以反映实际的消费者行为和空间互动,这项研究强调了零售业对更多数据驱动方法的迫切需要,以适应不断变化的消费者偏好和行为。
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引用次数: 0
Relationships among consumer innovativeness, learning, and global product purchases: Store manager perspectives in retailing 消费者创新能力、学习能力和全球产品购买之间的关系:零售业店长的视角
IF 11 1区 管理学 Q1 BUSINESS Pub Date : 2024-09-20 DOI: 10.1016/j.jretconser.2024.104084

Our study aims to provide a new perspective on the relationship between consumer innovativeness (i.e., social, functional, cognitive, and hedonic) and global purchases by considering consumers’ global product learning and store managers’ interactions with consumers. Using structural equation modeling on data from 500 Japanese consumers, our findings reveal that global product learning fully mediates the impact of diverse aspects of consumer innovativeness (excluding the non-significant functional sub-dimension) on consumers’ global product purchase behavior. Additionally, we highlight the critical role of store managers in influencing consumer behavior toward global products by demonstrating that store managers’ interactions with consumers strengthen the effect of consumers’ global product learning on their purchase behavior. Our results offer significant insights into the dynamics of consumer innovativeness and the impact of store managers on global product purchases, thereby filling a gap in the retailing and marketing literature.

我们的研究旨在通过考虑消费者的全球产品学习以及商店经理与消费者的互动,为消费者创新性(即社会性、功能性、认知性和享乐性)与全球购买之间的关系提供一个新的视角。通过对 500 名日本消费者的数据进行结构方程建模,我们的研究结果表明,全球产品学习完全调节了消费者创新性的不同方面(不包括不显著的功能性子维度)对消费者全球产品购买行为的影响。此外,通过证明商店经理与消费者的互动加强了消费者全球产品学习对其购买行为的影响,我们强调了商店经理在影响消费者全球产品购买行为中的关键作用。我们的研究结果为消费者创新能力的动态变化以及商店经理对全球产品购买的影响提供了重要见解,从而填补了零售业和市场营销文献的空白。
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引用次数: 0
The effects of footstep sounds on impression formation and persuasion 脚步声对印象形成和说服的影响
IF 11 1区 管理学 Q1 BUSINESS Pub Date : 2024-09-18 DOI: 10.1016/j.jretconser.2024.104086

Although walking is ubiquitous and regularly produces footstep sounds, little is known about how such sounds impact (1) observer impressions of walkers, and (2) walker influence over observers. The current research addresses these issues in three retailing scenario-based experiments. The presence of service employees' footstep sounds is found to increase their perceived status in the eyes of the shoppers, which increases the service employees' persuasiveness. Moreover, we rule-out several potential alternative explanations (niceness, attractiveness, and honesty) while identifying a boundary condition of both theoretical and practical significance, shoppers' political ideology: service employees’ footstep sounds affect conservative shoppers far more than liberal shoppers.

虽然行走无处不在,而且经常会发出脚步声,但人们对这些声音如何影响(1)观察者对行走者的印象,以及(2)行走者对观察者的影响知之甚少。目前的研究通过三个基于零售场景的实验来解决这些问题。研究发现,服务人员的脚步声会提高他们在购物者心目中的地位,从而增强服务人员的说服力。此外,我们排除了几种潜在的替代解释(亲切感、吸引力和诚实),同时确定了一个具有理论和实践意义的边界条件,即购物者的政治意识形态:服务人员的脚步声对保守派购物者的影响远远大于对自由派购物者的影响。
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引用次数: 0
Food provenance assurance and willingness to pay for blockchain data security: A case of Australian consumers 食品来源保证和区块链数据安全的支付意愿:澳大利亚消费者案例
IF 11 1区 管理学 Q1 BUSINESS Pub Date : 2024-09-18 DOI: 10.1016/j.jretconser.2024.104080

Blockchain technology has properties that improve supply chain transparency, traceability, and accountability, but how important are these security features to the consumer? This study investigates, consumers' willingness to choose and pay a premium for blockchain-certified food products. The major findings of this study are that consumers show positive receptiveness towards blockchain and disfavour unethical food production methods revealing sustainability consciousness guiding their consumption. We find that females place a greater value on food transparency and product labelling verification and are more willing to pay a premium. In addition, the results have important marketing implications according to our choice modeling findings.

区块链技术具有提高供应链透明度、可追溯性和问责制的特性,但这些安全特性对消费者有多重要?本研究调查了消费者选择区块链认证食品并为其支付溢价的意愿。本研究的主要发现是,消费者对区块链表现出积极的接受态度,不喜欢不道德的食品生产方式,这揭示了指导其消费的可持续发展意识。我们发现,女性更看重食品透明度和产品标签验证,更愿意支付溢价。此外,根据我们的选择建模结果,这些结果具有重要的营销意义。
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引用次数: 0
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Journal of Retailing and Consumer Services
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