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In this paper, the authors explore the consequences of showrooming and price matching strategy to combat showrooming under the consideration that brick-and-mortar (BM) stores and online retailers hold different costs.

The authors use a duopoly model to analyze the impact of showrooming behavior on competition between a BM store and an online retailer with different types of customers and different costs. Then, they consider the price matching strategy that a BM store could employ to combat showrooming and explore the effect of such a strategy.

Showrooming behavior is detrimental to the profit of the BM store, and the online retailer suffers a loss of their profit unless the relative cost of the BM store is high and only part of the customers exhibit showrooming behavior. As the fraction of customers who seek price matching increases, profits of both the BM store and the online retailer initially decrease and then may increase, even if there is no showrooming.

Unlike existing studies that ignore different costs between online and offline retailers, the authors set different costs between the BM store and the online retailer to consider the effects of showrooming and price matching strategy.

The present research aims to identify critical antecedents of willingness to pay (WTP) for traditional bundles (those comprising only goods or services) in an emerging market context. Further, it differentiates the relative importance of the determinants of customers' WTP according to the bundle type.

Data were collected from Indian customers. The paper uses conjoint analysis with an orthogonal design. The experimental conditions were manipulated using vignettes.

The results indicated that purchase autonomy was considered the most important driver for customer's WTP in the case of traditional bundles. Quality variability, overall bundle quality and complementarity followed autonomy in the order of importance. Moreover, the interaction effects of autonomy and complementarity with bundle type significantly influenced the customer's WTP. Customers had a higher WTP for services bundle in high autonomy and goods bundle in high complementarity situations.

Retailers should allow customers to buy either the entire bundle or its components separately, irrespective of the type of traditional bundle. They should try to make bundles whose perceived quality varies significantly in the target customers. Retailers should try to keep complementary components in the goods-only bundle.

The present study extends the relationship of the WTP with its antecedents to traditional bundles. Earlier studies have only studied these relationships for hybrid (combination of goods and services) bundles. With the current study results, retailers can bundle traditional bundles (goods only and services only).

Up until now, some internet shopper profiles based on certain findings have been generally accepted. It is widely believed that internet shoppers tend to be more innovative, less averse to risk, more variety-seeking, more information-seeking, more impulsive and more interested in pursuing convenience. This paper aims to discuss some of these assumed characteristics by contrasting and comparing customers of three different types of pharmacies.

Three exploratory-descriptive design studies are conducted to profile customers from three different types of pharmacies in Mexico. Data from three samples are assessed, including 198 customers of physical drugstores without an e-channel, 150 customers of physical pharmacies with an e-channel and 271 customers of online pharmacies.

Shoppers from physical pharmacies purchase more food and drinks than actual medicine. Shoppers from physical pharmacies with e-channels tend to use the internet to acquire information about pharmaceutical products but do not make purchases online; they prefer to obtain products immediately from a physical drugstore instead of waiting for delivery from an e-channel. Contrasting with the two former customer types, shoppers who use e-pharmacies are specific in the numbers and types of products they purchase, medicines being the main priority.

The three types of customers and their preferred shopping platforms may show important profile differences. Despite the evidence in previous literature, shoppers at physical pharmacies are not necessarily non-convenience oriented (time and effort), noninformation analyzing, non-price conscious or less positive in their attitude about shopping; instead, they may simply be averse to technology.

This study investigates the impacts of return channel type on the relationships between return service quality (RSQ) and customer loyalty (CL) in an omnichannel retailing environment.

Data comes from Chinese customers having a return experience in omnichannel retailing that uses the channel type of both buy-online-return-in-store (BORIS) and buy-in-store-return-to-online warehouses (BSROW). The authors use the structural equation modeling to test the hypotheses and the bootstrapping method to test the mediation and moderation effect.

For BORIS channel, satisfaction of customer returns (CRS) partially mediates the relationship between convenience and CL, and fully mediates that between CL and responsiveness, transparency and competence, respectively. For BSROW channel, CRS partially mediates the relationship between responsiveness and CL, and fully mediates that between CL and convenience, transparency and competence, respectively. The mediation effects indicate that omnichannel customers may feel more satisfied due to higher omnichannel fulfillment (responsiveness and convenience) and omnichannel trust (transparency and competence) provided by retailers. Return channel type moderates the relationship between RSQ-convenience and CL. The results show the different expectations between BORIS and BSROW customers in the return process.

This paper serves as a pioneering study to apply cognition-affect-behavior paradigm into the field of return management in omnichannel retailing.

The findings suggest retailers develop their strategies on customer returns and post-sales service quality improvement in the omnichannel. Also, retailers should develop an integrated return system across channels to provide convenient service to BORIS customers and quick response to BSROW customers.

Studying return service management in the omnichannel from customer's cognition appraisal, this study contributes to the literature of the reverse service management by bringing in the effect of omnichannel type to explore the relationship between RSQ and CL.

The tendency shows that more customers will bring and use their mobile devices in-store. This study proposes a further analysis of the complementary role of the mobile device in an in-store purchase providing a characterisation of those customers and analyses their usage preferences and behaviour intentions, presenting new insights concerning gender and generation preferences.

Quantitative research with customers of electronic stores was conducted based on a questionnaire applied at the store’s exit. To assess the differences between genders and among generations were used the parametric T-Test and one-way ANOVA.

The results demonstrate divergencies between generations when using mobile devices. In addition, they indicate that males have more intention to manage shopping tasks efficiently and consequently are less affected by in-store marketing stimuli and less predisposed to impulse purchases.

Although real customers participated, a convenience sample was used. The results should be compared with research on other retailer types. The customer shopping motivations and the types of mobile device usage should be further investigated since they can change the experience and the retailer’s outcomes.

Contributing to related specific research areas such as shopping behaviour and technology in retail settings by showing the usage preferences, the study also provides information for retailers, especially those needing to approach the Gen Z customers, improving the development of strategies.

This research explores further the complementary role of the mobile device in an in-store purchase. By conducting the study in a new setting, it brings new insight into a less explored, yet important sector.

Customer service conversations are becoming increasingly digital and automated, leaving service encounters impersonal. The purpose of this paper is to identify how customer service agents and conversational artificial intelligence (AI) applications can provide a personal touch and improve the customer experience in customer service. The authors offer a conceptual framework delineating how text-based customer service communication should be designed to increase relational personalization.

This paper presents a systematic literature review on conversation styles of conversational AI and integrates the extant research to inform the development of the proposed conceptual framework. Using social information processing theory as a theoretical lens, the authors extend the concept of relational personalization for text-based customer service communication.

The conceptual framework identifies conversation styles, whose degree of expression needs to be personalized to provide a personal touch and improve the customer experience in service. The personalization of these conversation styles depends on available psychological and individual customer knowledge, contextual factors such as the interaction and service type, as well as the freedom of communication the conversational AI or customer service agent has.

The article is the first to conduct a systematic literature review on conversation styles of conversational AI in customer service and to conceptualize critical elements of text-based customer service communication required to provide a personal touch with conversational AI. Furthermore, the authors provide managerial implications to advance customer service conversations with three types of conversational AI applications used in collaboration with customer service agents, namely conversational analytics, conversational coaching and chatbots.

As e-commerce has expanded rapidly, online shopping platforms have become widespread in India and throughout the world. Product return, which has a negative effect on the E-Commerce Industry's economic and ecological sustainability, is one of the E-Commerce Industry's greatest challenges in light of the substantial increase in online transactions. The authors have analyzed the purchasing patterns of the customers to better comprehend their product purchase and return patterns.

The authors utilized digital transformation techniques-based recency, frequency and monetary models to better understand and segment potential customers in order to address personalized strategies to increase sales, and the authors performed seller clustering using k-means and hierarchical clustering to determine why some sellers have the most sales and what products they offer that entice customers to purchase.

The authors discovered, through the application of digital transformation models to customer segmentation, that over 61.15% of consumers are likely to purchase, loyal customers and utilize firm service, whereas approximately 35% of customers have either stopped purchasing or have relatively low spending. To retain these consumer segments, special consideration and an enticing offer are required. As the authors dug deeper into the seller clustering, we discovered that the maximum number of clusters is six, while certain clusters indicate that prompt delivery of the goods plays a crucial role in customer feedback and high sales volume.

This is one of the rare study that develops a seller segmentation strategy by utilizing digital transformation-based methods in order to achieve seller group division.

This study aims to examine how three types of information technology (IT) capability (supplier technological capability, customer technology-sensing capability and relatedness of IT infrastructure) facilitate knowledge acquisition by the customer when the supplier is dominant in the supplier-customer relationship.

The unit of analysis was project. The authors designed two different questionnaires that were responded by the project manager of an enterprise resource planning (ERP) software supplier and the contact person of the customer organization in the same project, respectively. The two questionnaires were matched by means of project name. The final sample included a total of 136 projects. The authors used ordinary least squares to test the research hypotheses.

The authors found that supplier power advantage negatively influenced knowledge acquisition by the customer. The three types of IT capability did not have direct impacts on knowledge acquisition. The moderating effect of customer technology-sensing capability was not significant either. However, supplier technological capability and relatedness of IT infrastructure attenuated the negative effect of supplier power advantage on knowledge acquisition, indicating that both factors promoted knowledge acquisition.

Knowledge acquisition is important for the success of software implementation in the supplier-customer relationship. There is limited evidence in the literature on how to apply externally oriented IT capability to enhance knowledge management, improve knowledge acquisition and manage the business relationship that is typically dominated by the software supplier. The authors provide evidence to examine related issues.

This research investigates the impact of customer rule violation issues on frontline employees' (FLEs’) burnout due-to-customers. A model and hypotheses are developed using COR theory and past literature on misbehaving customers and their effects on customer-facing employees.

The proposed model was assessed using a survey of 840 frontline retail, restaurant, service and caregiving employees and their reactions to the issue of misbehaving customers (i.e. rule breaking and/or rude customers).

FLEs' perceived frequency of customer rule violations, FLEs' concerns with misbehaving customers and FLEs' concerns with enforcing rules with these customers increased FLEs' burnout due-to-customers, while FLEs' customer orientation decreased it. Interactions among several antecedents were found relative to their effects on burnout. Burnout due-to-customers decreased FLEs' organizational commitment and increased quitting intentions. Additionally, this burnout mediated the relationships between our studied antecedents and job outcome variables (either partially or fully), with organizational commitment also mediating the relationship between burnout and quitting intentions.

The impact of FLEs' concerns relative to customers' rule breaking, which has not been previously addressed, is shown to increase FLEs' burnout due-to-customers, while FLEs' customer orientation buffered and reduced burnout, with frequency of violations interacting with several antecedents, and ultimately affecting burnout and several dependent variables—organizational commitment and quitting intentions. These FLE rule violation and enforcement concerns, captured at the height of the pandemic, are new variables to the literature. These issues have important implications for managers as to their treatment and training of FLEs in the future.

This paper aims to provide a critical reflection on the management of experiences in hospitality and tourism (H&T). The paper investigates the evolution of experience research, while discussing the emerging challenges and opportunities for management.

The study adopts a critical and reflective approach for providing future directions of experience research. Three major fields are identified to discuss advances, challenges and opportunities in experience research: conceptualization and dimensions of experiences; relational network for experience management; and theoretical and methodological approaches.

The paper proposes a mindset shift to guide experience research, but also to redirect and research thinking and managerial practices about the role of experiences in the economy and society. This proposed humanized perspective to experience research and management is deemed important given the contemporary socio-economic, environmental and technological challenges of the environment.

This paper identifies a set of theoretical and managerial implications to help scholars and professionals alike to implement the humanized perspective to experience research. Implications relate to conceptualization, relational network and theoretical and methodological approaches in experience research.

This study critically assesses research challenges and opportunities around customer experience management (CEM) in H&T contexts. This reflective and critical look at customer experiences not only informs future research for advancing knowledge and practice but also proposes a mindset shift about the role and nature of CEM in the society and economy.