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The study aims to examine fast fashion consumers' negative in-store experiences focusing on the effect of the two store environment factors, product overload and store ambiance, on their confusion and consequent shopping avoidance behavior.

A research model of fast fashion consumers' confusion and store avoidance behavior is proposed using the Stimulus–Organism–Response framework. A pretest and the main online survey with 281 samples are analyzed, and the structural equation modeling (SEM) is conducted to test the proposed model.

The SEM results support the proposed paths statistically. Consumers' confusion, measured with the two dimensions, inefficiency and helplessness, is significantly influenced by their perceived product overload and negative perception of store ambiance in the fast fashion shopping environment. Subsequently, fast fashion consumers' confusion results in less time spent in the store.

The study sheds light on utilitarian shopping value in the fast fashion shopping environment by focusing on the fast fashion consumers' confusion in association with overloaded information caused by too many products and store ambiance.

The study implies that improving fast fashion stores' inherent issues with too many products and store ambiance might help consumers mitigate their confusion and prevent customer attrition. However, the study includes only two factors. Future studies may include other various fast fashion store factors. Additionally, one of the dimensions of confusion, irritation, did not emerge in this study. More work is needed to investigate fast fashion consumers' confusion, such as using a multigroup analysis by age.

In the growing information systems (IS) literature on metaverse, augmented reality (AR) technology is regarded as a cornerstone of the metaverse which enables interaction services. Interaction has been identified as a core technology characteristic of metaverse shopping environments. Based on previous human–technology interaction research, the authors further explicate interaction to be multimodal sensory. The purpose of this study is thus to better understand the unique nature of interaction in AR technology and highlight the technology's benefits for shopping in metaverse spaces.

An experiment has been conducted to empirically examine the authors' research model. The authors use the structural equation modeling (SEM) approach to analyze the collected data.

This study conceptualizes image, motion and touchscreen interactions as the three dimensions of multimodal sensory interaction, which can reflect visual-, kinesthetic- and haptic-based sensation stimulation. The authors' findings show that multimodal sensory interaction of AR activates consumers' intention to purchase via a psychological process. To delineate this psychological process, the authors use feelings-as-information theory to posit that experiential factors can influence cognitive factors. More specifically, multimodal sensory interaction is shown to increase multisensory experience and spatial presence, which can effectively reduce product uncertainty and information overload. The two outcomes have been considered to be key issues in online shopping environments.

This study is one of the first ones that shed light on the multimodal sensory peculiarity of AR interactions in the extant IS literature. The authors further highlight the benefits of AR in addressing major online shopping concerns about product uncertainty and information overload, which are largely overlooked by prior research. This study uses feelings-as-information theory to explain the impacts of AR interactions, which reveal the essential role of the experiential process in sensory-enabling technologies. This study enriches the existing theoretical frameworks that mostly focus on the cognitive process. The authors' findings about AR interactions provide noteworthy guidelines for the design of metaverse environments and extend the authors' understanding of how the metaverse may bring benefits beyond traditional online shopping settings.

Drawing on conservation of resources theory, this study aims to examine how employees’ experiences of excessive workloads may direct them away from efforts to share knowledge with other organizational members, as well as the circumstances in which this process is more or less likely. To untangle the process, the authors predict a mediating role of job dissatisfaction and moderating roles of two complementary resources that help employees cope with failure: resilience as a personal resource and organizational forgiveness as an organizational resource.

Survey data were gathered from employees of an organization that operates in the construction retail sector. The Process macro provides an empirical test of the moderated mediation dynamic that underpins the proposed conceptual framework.

The statistical findings affirm that an important channel through which employees’ perceptions that their work demands are unreasonable escalate into a diminished propensity to share knowledge is their lack of enthusiasm about their jobs. Their ability to recover from challenging work situations and their beliefs that the organization does not hold grudges against people who commit mistakes both mitigate this harmful effect.

For organizational practitioners, this research shows that when employees feel frustrated about extreme work pressures, the resource-draining situation may escalate into diminished knowledge sharing, which might inadvertently undermine their ability to receive valuable feedback for dealing with the challenges. From a positive perspective, individual resilience and organizational forgiveness represent resources that can protect employees against this negative spiral.

This study explicates an unexplored harmful effect of strenuous workloads on knowledge sharing, which is explained by employees’ beliefs that their organization fails to provide satisfactory job experiences. This effect also is mitigated to the extent that employees can draw from valuable personal and organizational resources.

This study aims to progress scholarly understanding of the staycation phenomenon by examining customer segments and documenting local customers’ attribute preferences.

A stated choice experiment is used to examine customer preferences for staycation package attributes. Latent class discrete choice modeling is deployed to classify customers into market segments based on their preferences. The profile of each segment is enhanced by documenting customer characteristics and consumption styles.

Six prominent market segments are identified using a combination of sociodemographics, consumption styles and staycation attribute preferences. The findings draw on consumer experiences during the COVID-19 pandemic to generate theoretical insights into preferred staycation packages. Empirically, the estimation results from the research framework and choice experimental method demonstrate that staycation market segments exhibit distinct preference structures.

Practitioners and policymakers can incorporate the findings of this study in designing and/or assessing staycation packages. This can ensure differentiated products for defined segments that resonate within local communities through positive word of mouth, thus offering prospective spillovers to visiting friends and relatives.

This is a pioneering study on preference heterogeneity from the customer perspective, with a focus on staycation markets. The findings can encourage and assist hotel sector leaders to capitalize on local market developments to achieve a more resilient hospitality business model.

Contextual cues have become a hot research topic in the field of mobile consumer behavior, owing to the continuous rise of digital marketing. However, the complex online shopping scene makes it challenging to directly identify the association between the characteristics of contextual cues and consumer behavior. Presently, few studies have only systematically extracted and refined the types and characteristics of contextual cues. The purpose of this study is to explore the types and mechanisms of contextual cues in online shopping scenarios.

This study uses the word2vec algorithm, grounded theory and co-occurrence cluster method, along with online shopping word-of-mouth (WOM) text and consumer behavior theory, in order to explore different types of contextual cues and its efficiency from 5,619 comment corpus.

This study puts forward the following conclusions. (1) From the perspective of online shopping, contextual cues comprise aesthetic perception cues, value perception cues, trust-dependent cues, time perception cues, memory attention cues, spatial perception cues, attribute cues and relationship cues. (2) Based on the online shopping scenarios, contextual cues and their interaction effects exert an effect on consumer satisfaction, recommendation, purchase and return behavior.

The study conclusions are helpful to further reveal the deep association between contextual cues and consumer behavior in the process of online shopping, thus providing practical and theoretical enlightenment for enterprises to not only effectively reshape the scene but also promote the consumers' active purchase behavior.

This study aims to investigate the influence of different virtual fashion styles on attitude and satisfaction within virtual reality (VR) tourism experiences. The investigation considers the mediating effect of perceived attractiveness, popularity, novelty and weirdness, as well as the moderating role of self-congruence with avatar clothing and the desire for unique products.

This research uses a quantitative experimental approach. Initially, a three-step pilot study (N = 201) was conducted to select avatar fashion styles for the main investigation. In the primary study, participants (N = 326) engaged with one out of four fashion style conditions to select attire for their avatars and then completed a self-administered survey. Data analysis involved paired-sample t-tests, multivariate analysis of variance and Hayes’ PROCESS Models.

The results show that presenting fantasy avatar fashion styles leads to a decrease in perceived attractiveness and popularity, while concurrently increasing perceptions of novelty and weirdness which in turn exert a negative influence on attitude and satisfaction with the virtual fitting room (VFR). However, these relationships change when considering the moderating role of self-congruence with avatar clothing and the desire for unique products.

VR tourism experience providers and designers can use research findings to bolster positive attitude and enhance satisfaction with VFR; an important first step that strongly affects the rest of the VR tourist journey.

This study contributes to tourism research by exploring the intersection of immersive technologies and virtual fashion. It emphasizes the enhancement of critical touchpoints like the VFR, moving beyond a sole focus on VR adoption, to improve the overall virtual tourist experience.

This study aims to examine the negative effects of excessive product packaging (EPP), greenwashing and green confusion on green brand equity (GBE). Furthermore, the moderating role of brand credibility in mitigating the negative effects of green marketing was investigated.

A within-subject experiment was conducted to evaluate excessive versus minimal product packaging to test the proposed hypotheses. Data analysis was performed with SmartPLS 3.3.3, which analyzed data from 206 consumers.

The results showed that EPP positively predicts greenwashing and green confusion. However, greenwashing has a negative impact on GBE. Brand credibility was also discovered to moderate the negative relationship between greenwashing and GBE, thereby reducing the negative effect of greenwashing.

The findings imply that marketing managers should understand the consumers’ concerns for the environment, making product and brand strategies that promote environmental protection and sustainability.

This study contributes to the green marketing literature by empirically validating the positive impacts of EPP on greenwashing and green confusion, as well as the negative influence of greenwashing on GBE. Furthermore, it reveals how brand credibility can reduce the harmful effects of greenwashing on GBE.

Examinamos los efectos negativos del embalaje excesivo de los productos, el “greenwashing” y la confusión verde sobre el valor de la marca verde. Además, se investigó el papel moderador de la credibilidad de la marca para mitigar los efectos negativos del marketing ecológico.

Se llevó a cabo un experimento intra-sujeto para evaluar el embalaje excesivo de los productos frente al mínimo envase posible, con el fin de comprobar las hipótesis propuestas. El análisis de los datos se realizó con SmartPLS 3.3.3, con una muestra de 206 consumidores.

Los resultados mostraron que el embalaje excesivo de los productos predice positivamente el greenwashing y la confusión ecológica. Sin embargo, el greenwashing tiene un impacto negativo en el valor de la marca verde. También se descubrió que la credibilidad de la marca modera la relación negativa entre el greenwashing y el valor de la marca verde, reduciendo así el efecto negativo del greenwashing.

Las conclusiones implican que los directores de marketing deben comprender las preocupaciones de los consumidores por el medio ambiente, elaborando estrategias de producto y de marca que promuevan la protección del medio ambiente y la sostenibilidad.

Este estudio contribuye a la bibliografía sobre el marketing ecológico al validar empíricamente los efectos positivos del embalaje excesivo de los productos sobre el greenwashing y la confusión ecológica, así como la influencia negativa del greenwashing sobre el valor de la marca ecológica. Además, revela cómo la credibilidad de la marca puede reducir los efectos perjudiciales del greenwashing sobre el valor de la marca verde.

我们研究了产品过度包装、洗绿和绿色混淆对绿色品牌资产的负面影响。此外, 我们还研究了品牌信誉在减轻绿色营销负面影响中的调节作用。

我们进行了一项受试者内实验, 以评估产品过度包装和最小包装, 从而检验所提出的假设。用SmartPLS 3.3.3进行数据分析, 该软件分析了206来自名消费者的数据。

结果显示, 过度的产品包装正向预测了洗绿和绿色混淆。然而, 洗绿对绿色品牌资产有负面的影响。品牌信誉也被发现可以调节洗绿和绿色品牌资产之间的负面关系, 从而减少洗绿的负面影响。

研究结果表明, 营销经理应该了解消费者对环境的关注, 制定促进环境保护和可持续发展的的产品和品牌战略。

本研究通过实证验证产品过度包装对洗绿和绿色混淆的积极影响, 以及洗绿对绿色品牌资产的负面影响, 为绿色营销文献做出了贡献。此外, 它还揭示了品牌信誉如何减少洗绿对绿色品牌资产的有害影响。

绿色营销, 洗绿, 绿色混淆, 品牌资产, 品牌信誉, 以及产品过度包装

文章类型： 研究型论文

Digitalization is revolutionizing the retail sector as today's consumers prefer a seamlessly integrated, fluid and irritation-free shopping experience enhanced with artificial intelligence (AI)-powered technologies. Literature highlights gaps in the understanding of the shopping experience in an omnichannel context, involving aesthetic, cognitive and affective experience dimensions. This research highlights the direct effects and the mechanism triggered in the presence of such device.

A sample of 259 consumers was interviewed at the point of sale. Data have been collected after a shopping experience in two concept stores belonging to the same fashion brand: (1) not equipped with AI-powered technology and (2) equipped with these tools. The measurement scales were validated through ANCOVA analysis and causal relationship analysis with structural equation modeling.

The results show that the presence of an in-store AI-powered technologies in a connected store generates a higher aesthetic reaction when visiting the store, a higher absorption when shopping through the flow and a higher intent to purchase. The authors further investigate the underlying mechanism triggered by the presence of this technology, which enables the authors to outline their consequences regarding purchase intention.

The study, conducted within an actual connected store in France, explores the impact of AI technology in connected retail environments on consumer responses. It is an early research in this field, shedding light on a rarely explored area. The authors’ research addresses a significant gap, providing insights into AI-driven retail experiences.

With the rapid development of technology, 360° panorama on mobile as a very convenient way to present virtual reality has brought a new shopping experience to consumers. Usually, consumers get product information through virtual annotations in 360° panorama and then make a series of shopping behaviors. The visual design of virtual annotation significantly influences users' online visual search for product information. This study aims to investigate the influence of the visual design of virtual annotation on consumers' shopping experience in the online shopping interface of 360° panorama.

A 2 × 3 between-subject design was planned to help explore whether different display model of annotation (i.e. negative polarity and positive polarity) and different background transparency of annotation (i.e. 0% transparency, 25% transparency and 50% transparency) may affect users' task performance and their subjective evaluations.

(1) Virtual annotations with different background transparency affect user performance, and transparency has better visual search performance. (2) Virtual annotation background display mode may affect the user operation performance; the positive polarity of the virtual annotation is more convenient for the users' visual searching for product information. (3) When the annotation background transparency is opaque or semi-transparent, the negative polarity display is more favorable to the users' visual search. However, this situation is reversed when the annotation background transparency is 25%. (4) Participants preferred the presentation of positive polarity virtual annotations. (5) Regarding the degree of willingness to use and ease of understanding, participants preferred the negative polarity display for 0% background transparency or 50% background transparency. However, the opposite result was obtained for 25% background transparency.

The findings generated from the research can be a good reference for the development of virtual annotation visual design for mobile shopping applications.

1. Virtual annotation background transparency and background display mode are two essential attributes of 360° panoramas.

2. This study examined how virtual annotation background transparency and background display mode influence user performance and experience.

3. It is recommended to use a translucent or opaque annotation background with a negative polarity display.

4. Virtual annotation presentation with 25% background transparency facilitates consumer searching and comparison of product information.

5. Users prefer a positive polarity annotation display.

Virtual annotation background transparency and background display mode are two essential attributes of 360° panoramas.

This study examined how virtual annotation background transparency and background display mode influence user performance and experience.

It is recommended to use a translucent or opaque annotation background with a negative polarity display.

Virtual annotation presentation with 25% background transparency facilitates consumer searching and comparison of product information.

Users prefer a positive polarity annotation display.

Building on stimulus organism response theory, this study aims to examine the influence of Integrated store service quality (ISSQ) on omnichannel shoppers’ attachment to the integrated store with the mediating role of omnichannel customer engagement (CE) dimensions (absorptive attention, enthusiastic participation and social connection). This research demonstrates the effect of customers’ attachment to the integrated store on the willingness to pay more for omnichannel services and products of the retailer, their cross-buying behaviors in future purchases and loyal webrooming intentions. The moderating role of perceived relationship investment and alternative retailer attractiveness (ARA) in a few proposed relationships was also tested.

The research is descriptive, quantitative and cross-sectional investigation. A purposive sampling technique was used for selecting the study respondents. The data was collected from n = 589 Indian omnichannel shoppers who have experience shopping in the brick and mortar store of channel-integrated stores using a validated self-administered questionnaire. The proposed conceptual model was tested using PLS-SEM.

The results indicate that omnichannel CE dimensions (absorptive attention, enthusiastic participation and social connection) positively mediate the relationship between ISSQ and customer attachment to the store. Customer attachment to the store significantly impacts their willingness to pay more, cross-buying behaviors and loyal webrooming intentions. The moderating effect of the customer-perceived relationship investment and ARA revealed that it significantly impacted the relationship between ISSQ and willingness to pay more, cross-buying behaviors and loyal webrooming intentions. This research also demonstrated the direct impact of ISSQ on willingness to pay more, cross-buying behaviors, loyal webrooming intentions and the indirect impact through different CE dimensions and attachment with the store.

The study is conducted in the Indian population, where omnichannel retailing is still nascent.

This study addresses the need to investigate the impact of CE and their attachment to stores driven by the in-store service quality of integrated stores on the various postpurchase consumer behaviors. To the best of the authors’ knowledge, this study is the first to show that ISSQ might affect their willingness to pay more, cross-buying behaviors and loyal webrooming intentions through different CE dimensions and their attachment to the store. The moderating effect of customer-perceived ARA and their perception of retailers’ investment in a relationship on proposed hypotheses was also tested.