Driving to the store, finding parking, defective carts, difficulties in finding items, poor product info, long lines for checkout, unclear receipts, carrying heavy shopping bags home, and forgotten items are some of the most common barriers experienced by grocery shoppers. These are also the most common reasons why shoppers decide to switch to alternative retailers or to online grocery channels. COVID-19 accelerated this trend with online grocery shopping and home delivery services became prevalent and grew significantly during the pandemic (Gupta & Mukhejee, 2022). Today, e-grocery has reached 11% of the total grocery sales and being expected to reach 19% by 2025 in US (source: Statista, 2022). Brick and mortar grocery retailers declare to suffer from low loyalty of their customer and margin pressure. On the other side, the recent investments of online pure players such as Amazon and Alibaba in physical retail, including grocery, show that the physical shopping has still potential to lead retailers’ growth, also within grocery. Grocery retailers should therefore find new ways to attract and retain customers to their stores. Offering a better customer experience (CE) may be a valuable strategy to this end. A great CE has emerged at the base of a sustainable competitive advantage for companies, and it is at the heart of customer loyalty (Grewal et al., 2017) in several sectors but has often been neglected within grocery selling.

In pursuit of competitiveness, brands are critical as they represent valuable intangible assets that contribute to creating and sustaining competitive advantages. The emerging idea of brand competitiveness, defined as a brand’s outperformance of competing brands, represents a promising solution to the problem that existing branding constructs fail to incorporate competition as a relative concept. This article addresses three gaps in the current literature on brand competitiveness. It discusses conceptualizations of the construct, arguing for a customer-based perspective and introducing customer-based brand competitiveness (CBBC). It then explores the construct’s nomological network and suggests CBBC as a mediator of the strategic orientations–performance relationship, thus proposing customer-related and firm-related performance as consequences and several strategic orientations as antecedents. It finally reports on the development of a new measurement scale for brand competitiveness.

In recent years E-commerce platforms recommend some products for consumers based on their shopping history and user persona. However, sometimes, unfamiliar products or styles would be recommended to consumers unintentionally or intentionally. Curiosity drives consumers to try but this idea would be declined with the consideration of product fit uncertainty. Augmented Reality (AR) is the integration of digital information with the user‘s environment in real-time (Hilken et al. 2018), it can deal with issues related to physical apprehension that hinder consumers’ online shopping (i.e, clothes, cosmetics), especially for the unfamiliar style. This study aims to investigate whether AR technology could improve consumers' purchase likelihood. Augmented Reality (AR) can enhance customer experiences in a multichannel environment (Hilken et al. 2017). AR Integrates online experiences into the offline experience (Hilken et al. 2018), such as virtual try-on or magic mirrors. Customers often find it difficult to imagine how firms’ products and services fit them personally or fit with their environment (Hilken et al. 2018). Drawn on AR, consumers can easily evaluate the fitness between themselves and the selected products. Prior studies have explored the different underlying processes of why AR technology could improve consumer purchase intention and customer experience. For instance, according to the situated cognition theory, AR creates a feeling of spatial presence (Hilken et al. 2017). The usage of AR benefits mental imagery, improving decision comfort (Heller et al. 2019). AR can compensate for consumers’ need for touch and offer hedonic and/or utilitarian benefits (Gatter et al. 2022). Based on media richness theory, AR offers more information for customers (Hoffmann et al. 2022), which represents a fitting concept for customers to evaluate the product (Javornik 2016).

Voice assistant devices (VADs), driven and improved by artificial intelligence, have been adapted for consumers (e.g., Hey Google and Alexa) and are widely used for their daily lives (Guha et al., 2022; Rabassa, Sabri, & Spaletta, 2022). Consumers benefit from the use of a VAD as it makes their daily lives more convenient, more comfortable, and simpler (Zierau et al., 2022). At the same time, companies can also benefit from interactions with VADs by collecting consumer-related data and storing it in large databases for marketing purposes (Guha et al., 2022; Rabassa et al., 2022).

While social media marketing opens a variety of new windows for enlightening brand–customer relationships, a gritty puzzle is that brand recognition does not invariably echo with customers’ perceived value. This provokes the need to uncover the missing pieces in bridging the gap between brand recognition and customer perceived value. This research falls within the innovative new work in the marketing literature in positing co-creation as a crucial mediator in facilitating the impact of brand recognition on customers’ perceived value. Based on social identity theory, we also investigated how co-creation is moderated by virtual communication identification in influencing customers’ perceived value towards a brand. We conducted a survey via a sample of 386 current Gogoro customers. Gogoro is the biggest and most well-known Taiwanese producer of electric scooters. Our findings contribute to the extant marketing research by emphasizing that the key stimulus of increased customer perceived value towards a brand is active co-creation initiatives via virtual brand communities, and that the effects of co-creation are further strengthened when customers’ virtual communication identification is high.

The capability for Artificial Intelligence in the beauty industry is enormous, as customers are demanding increasingly customized offers that only these strategies can offer. However, there is still a scarcity of empirical research on customer experiences enabled by AI, which highlights this research's relevance, which we intend to bridge.

The proliferation of service robots has led to a growing concern about the impact of these technological advancements on privacy. Despite the development, quantitative research on the influence mechanism of privacy concerns on service robot adoption intentions is still limited. This research explores the influencing mechanism and boundary conditions of the interaction effect between customer privacy concerns and service type on customers’ service robot adoption intentions.

The use of AI chatbots in frontline customer service is beneficial as it can provide quick service responses, cost-saving on human employees and accelerate customers’ decision-making process. However, implementing chatbots can be a double-edged sword. On the one hand, companies benefit from the use of chatbots. On the other hand, it may hurt customer experience as customers perceive chatbots are less trustworthy and show less social presence. Service failures today have become more unpredictable with the increasing complexity of social environments. Aligning with the trends of online customer service, customers are most likely to encounter a chatbot when seeking online customer service to solve service failures. With most of the previous literature investigating customers’ perceptions of chatbots and chatbot-related service failures, little research has focused on the area where chatbots as service recovery agents and how customers perceive the use of chatbots handling their service requests after service failures.

As the importance of online virtual spaces increases due to COVID-19, interest in online virtual spaces using 4th industrial technology is increasing. Accordingly, the metaverse that combines virtual and real is becoming an issue. In the fashion industry, marketing using online is gradually increasing, and various attempts are being made by converging with the metaverse to provide new and enjoyable experiences to customers. This study looked at the impact of customer experience of a luxury fashion brand pop-up store on customer satisfaction, affective commitment and brand loyalty in a metaverse environment where utilization is increasing due to COVID-19 and technological development. For the analysis data of this study, a survey was conducted on the users who experienced the metaverse platform Zepeto's ' BVLGARI World'. As a result of examining the effect of the customer experience of a luxury fashion brand pop-up store on customer satisfaction, affective commitment, and brand loyalty in a metaverse environment, some of the customer experiences affect customer satisfaction, and the proposed hypothesis was partially accepted. In addition, it was confirmed that customer satisfaction affects affective commitment and brand loyalty, and affective commitment affects brand loyalty. In this study, we examine the impact of the customer experience of a luxury fashion brand pop-up store on customer satisfaction, affective commitment, and brand loyalty in the metaverse environment, and identify what is needed for more active convergence and activation of the metaverse and fashion brands. Also, we provide practical implications to people who involved in the metaverse and the fashion industry.

Customer engagement has been a focus of a significant amount of research. Most of the prior research on customer engagement typically focused on engagement and loyalty in loyalty program context, while the impact of rewarded customer engagement on program members has largely been missed out. Additionally, no prior study yet has focused on the conceptualization of rewarded customer engagement, while exploring and comparing its significance on various digital platforms, such as loyalty programs and Metaverse. Thus, this study aims to conceptualize rewarded customer engagement while investigating its impact on loyalty program members, and whether it induces and/or encourages their engagement in brand’s Metaverse platform(s).

Smart retail enabled through in-store technology (IST) is believed to be the future of retail. However, several IST impacts, especially on individuals' well-being remain undisclosed. This study attempts to discover IST impact, particularly electronic shelf label (ESL) as a prospective technology, on customer well-being and post-transaction behavior (i.e., willingness to pay (WTP) and positive word of mouth (PWOM). Survey were from generations X, Y, and Z generating 305 respondents. A post hoc analysis utilizing PLS MGA is discussed for Gen X & Millennials vs. Gen Z groups. This study provides empirical evidence of smart retail on customer well-being and how it affects customer post-purchase behavior, namely WTP and PWOM. This study also provides evidence of how it differs across generational cohorts.

This study examines the performance of a penalized neural network and the replication of a customer engagement survey scale with text information in the hotel industry. Although the empirical analysis shows highly accurate model performance only in the training sample, the results also clarify the issues of the engagement scale.

This study, based on mixed method research design, explores the mechanism by which online service provider experiences are indirectly influenced by service interactions (service manner and need identification) in a rarely explored context (e-learning service and digital product/online MBA). While the service provided by employees is argued to play an important role in consumers’ evaluations of service performance (Vasconcelos et al., 2015), the impact of service interaction on experience (combining credence service theory and customer experience theory) has to date not been explored.

In this paper, we propose a new neural network architecture for item recommendation with structural information. Our model, structural neural recommender (SNR) is based on neural networks and operates on a hierarchy paradigm, aiming to explore the effectiveness of incorporating different structural information for recommendation. Many recent state-of-the-art neural network based recommendation models exploit the nonlinear transformations for modeling the complex user-item interaction patterns and user historical behaviors, ignoring the item-item structural relationship. This structural information, however, is uncomplicated to derive and useful for inferring item characteristics. To utilize this information, SNR simultaneously learns representation from user-item interactions and item-item relationships. Empirical studies on eight real-world datasets demonstrate the effectiveness of incorporating such structural information, by outperforming classic and recent baselines. We also conduct detail ablation studies and hyper-parameter analysis to provide further understanding towards the behaviors of our model. Following the model development, we conduct a field experiment to demonstrate that the effectiveness of algorithmic recommender systems can further increase by using different types of message framing when communicating recommendations to consumers. Our results suggest that recommendations framed with a relevance appeal (e.g. “Top 5 brands for you”) are more effective in general, yet recommendations that are framed with a popularity appeal (“Top 5 most popular brands”) are more effective for customers who were acquired via social media (versus non-social media) advertising or for those who have stronger (versus weaker) social orientation.

With the rise of social media platforms, influencer marketing has become an essential tool for marketers to promote their products and services. Value co-creation behavior of influencers involves collaborating with their followers and brands to create content that provides value to their audience. This approach can help to build stronger relationships with followers and drive engagement and sales for the brands they work with.

Over the last few years, customer engagement is being reimagined from the lens of relationship marketing in light of interactive brand experiences in order to eternalize long term customer engagement value. However, instilling engagement through dedication and involvement is becoming arduous for brands due to radically escalating digital technologies rendering the inefficacy in practitioner’s attempts. Simultaneously, the employment of hedonic technologies like gamification is catapulting for utilitarian aspirations including customer engagement. Gamification is an emerging field of study which is being intrinsically tied to customer engagement with the later not being the sole purpose of gamified platforms but a medium for subsequent brand related outcomes. Crafting digital interfaces that are straightforward to use and more interactive has become a successful approach for practitioners to engage customers and make tedious and repetitive tasks more pleasurable through gamification. Global organizations such as Walmart, Starbucks and Amazon employ game mechanics evidencing that gamification can reinforce engagement with customers.

Despite the importance of technology-based innovation and customer participation for both practitioners and academics, the impact of different customer participation types in new product innovation has rarely been addressed. Since consumers' positive assessment of new technologies leads to positive outcomes in the market, consumer evaluation of new technologies is important. Thus, examining the consumer perception of technology-based innovation including the different levels of customer participation is meaningful to new theoretical and practical insights.

This study supplements the literature by determining how restaurant innovativeness is linked to customer advocacy as well as considering self-image congruity as mediator of this relationship. A questionnaire survey of 385 restaurant customers was conducted in Taiwan. The results indicated that restaurant innovativeness is positively related to customers’ self-image congruity and customer advocacy. Customers’ self-image congruity is positively associated with customer advocacy. In addition, self-image congruity mediates the relationship between restaurant innovativeness and customer advocacy. The research contributes to literature by extend the relationships between restaurant innovativeness, self-image congruity, and customer advocacy. Restaurant managers should adopt approaches (e.g. innovativeness-related activities) for enhancing self-image congruity in customers.

Engagement is a central aspect of discussions surrounding online brand communities. The current paper advances the existing thinking associated with conceptualisation of engagement in the context of online brand communities. By understanding how brands engage in an online community we can provide better community management and benefit a brand.

The rapid spread of Artificial Intelligence through various connected intelligent objects (wearables, robots) profoundly changes how service is delivered and experienced by the customers (Bolton et al., 2018; Larivière et al., 2017). Robotics, in combination with rapidly improving technologies, has brought prospects for a wide array of innovations that have the potential to transform service industries radically. Service robots provide businesses with new opportunities to reorganize their frontline and serve their customers in new and innovative ways. Advanced technological innovations that become better, smaller, and smarter are virtually renovating the servicescape (Wirtz & Zeithaml, 2018). Transformation in the Healthcare industry is happening the world over. The International Federation of Robots predicts an ever-increasing demand for healthcare robots, estimated at 9.1 billion USD market in coming year. RoboDocs (Robots helping Doctors) can help standardize the common surgical procedures and catalyze a paradigm shift in the healthcare sector. RoboDocs are the linchpin to greater efficiency, more value, and reducing surgical variability (Muaddi et al., 2021, Huang & Rust, 2018).