Electronic Kiosks in Retail Service Delivery

Abstract

In-store interactive kiosks using Internet technology represent a channel within a channel in many retail and service settings. They offer wide-ranging informational, transactional and promotional benefits, as well as contributing to customer relationship management. Widespread adoption by customers is, however, required to realize their full potential. Drawing upon the diffusion of innovations and technology acceptance models, two empirical studies are reported, one using a kiosk prototype, the other an in-store trial system. In both cases, a model was able to predict around 50% of intention to use. Implications for retail strategy, positioning within stores, facility promotion and system design are discussed.     

Chatbots in retailers’ customer communication: How to measure their acceptance?

Currently, online retailers evaluate whether chatbots—software programs that interact with users using natural languages—could improve their customers' satisfaction. In a retail context, chatbots allow humans to pose shopping-related questions and receive answers in natural language without waiting for a salesperson or using other automated communication forms. However, until now, it has been unclear which customers accept this new communication form and which factors determine their acceptance. In this paper, we contrast the well-known technology acceptance model (TAM) with the lesser known uses and gratifications (U&G) theory, applying both approaches to measure the acceptance of the text-based “Emma” chatbot by its target segment. “Emma” was developed for the prepurchase phase of online fashion retailing and integrated into Facebook Messenger by the major German online retailer Zalando. Data were collected from 205 German Millennial respondents in a usability study. The results show that both utilitarian factors such as “authenticity of conversation” and “perceived usefulness,” as well as hedonic factors such as “perceived enjoyment”, positively influence the acceptance of “Emma”. However, privacy concerns and the immaturity of the technology had a negative effect on usage intention and frequency. The predictive power of both models was similar, showing little deviation, but U&G gives alternative insights into the customers’ motivation to use “Emma” compared to the TAM.     

Revisiting customer analytics capability for data-driven retailing

Customer analytics is one of the most dominant strategic weapons in today's competitive retail environment. In spite of its strategic importance, there is scant attention to investigating customer analytics capabilities in the retail context. Drawing on a systematic literature review and thematic analysis, this study proposes a multidimensional customer analytics capability model by identifying relevant dimensions and sub-dimensions in retail settings. The principal contribution of this study is that the model links a customer analytics perspective to a resource-based view (RBV)-capability of the retailers by proposing six customer analytics capability dimensions and twelve sub-dimensions in the spectrum of market orientation and technology orientation. The customer analytics capability dimensions depict three crucial themes of marketing, such as value creation (offering capability and personalization capability), value delivery (distribution capability and communication capability), and value management (data management capability and data protection capability). By incorporating this capability dimensions, practitioners will likely be able to engage customers and enhance customer equity.     

Consumer e-shopping acceptance: Antecedents in a technology acceptance model

This study integrates e-shopping quality, enjoyment, and trust into a technology acceptance model (TAM) to understand consumer acceptance of e-shopping. Online surveys with college students (n = 298) were conducted. E-shopping quality for apparel products consists of four dimensions: web site design, customer service, privacy/security, and atmospheric/experiential. A structural equation model reveals that e-shopping quality determines perceptions of usefulness, trust, and enjoyment, which in turn influence consumers' attitudes toward e-shopping. Consumer perceptions of usefulness and attitude toward e-shopping influence intention to shop online, while perceived ease of use does not influence attitude toward e-shopping. Shopping enjoyment and trust play significant roles in consumers' adoption of e-shopping. This study provides important implications for e-tailers whose web site developers must keep in mind that customers are not only web users with trust/safety and information needs, but also shoppers with service and experiential needs.     

Bridging the valuescape with digital technology: A mixed methods study on customers’ value creation process in the physical retail space

This mixed methods study investigated how value is created in the physical retail space and how the customer experience is influenced by digital technology. A cross-sectional survey, with both qualitative and quantitative components, was distributed across a heterogeneous sample of 832 customers. The results revealed an overarching model comprised of three interrelated clusters: customer, service provider, and digital technology. We propose that this model can be understood as a valuescape, where customers' specific goals, needs, and desires drive them to interact and co-create value with service providers in the physical retail space, with digital technology either enhancing or disrupting this value co-creation process. The results also show that the importance of aligning digital solutions with customers’ drives increases at the same pace as reliance on technology. The findings offer guidelines on how to utilize digitalization to leverage customer experiences and thus strengthen the attractiveness of physical retail spaces.     

Do Mystery Shoppers Really Predict Customer Satisfaction and Sales Performance?

Mystery shopping (MS) is a widely used tool to monitor the quality of service and personal selling. In consultative retail settings, assessments of mystery shoppers are supposed to capture the most relevant aspects of salespeople’s service and sales behavior. Given the important conclusions drawn by managers from MS results, the standard assumption seems to be that assessments of mystery shoppers are strongly related to customer satisfaction and sales performance. However, surprisingly scant empirical evidence supports this assumption. We test the relationship between MS assessments and customer evaluations and sales performance with large-scale data from three service retail chains. Surprisingly, we do not find a substantial correlation. The results show that mystery shoppers are not good proxies for real customers. While MS assessments are not related to sales, our findings confirm the established correlation between customer satisfaction measurements and sales results.     

A glimpse of the future retail customer experience – Guidelines for research and practice

Retailing has undergone significant changes over the years, tremendously impacting how the retail customer experience is managed. We use this opportunity to present the key findings of the contributors to our Special Issue, along with our observations, to introduce new approaches to retail customer experience management. Buoyed by the research presented in this Special Issue, we highlight the key trends and shifts in retail customer experience management in terms of consumer behavior and what drives the decision-making process of retail customers today and in the future.     

A comprehensive examination of internet banking user behaviour: evidence from customers yet to adopt,currently using and stopped using

Abstract

Despite the surge in interest in research on customers’ adoption of internet banking (IB), how discontinued users can be brought back to IB has not received much attention. To respond to this question and to provide a comprehensive understanding of IB customer behaviour, we develop a conceptual model grounded on the extended technology acceptance model, and empirically validate it using a sample of 614 IB customers (including those yet to adopt, current users and discontinued users) from China. Perceived value is the most important driver for explaining all categories of customers’ IB-related behaviours. Banks that implement measures that aim to increase the perceived usefulness of IB and enhance the value of IB are likely to be rewarded with increasing IB adoption amongst its customer base.     

Integrating technology readiness into technology acceptance: The TRAM model

Based on previous theoretical streams, the present study integrates technology readiness (TR) into the technology acceptance model (TAM) in the context of consumer adoption of e‐service systems, and theorizes that the impact of TR on use intention is completely mediated by both perceptions of usefulness and ease of use. TAM was originally developed to predict people's technology‐adopting behavior at work environments, but this research stemmed from a questioning of its applicability in marketing (i.e., non‐work) settings. The differences between the two settings are exhibited by consumers' self‐determining selection behavior and their high involvement in the e‐service creation and delivery process. This paper first reviews the TAM and the construct of technology readiness, and then proposes and empirically tests an integrated Technology Readiness and Acceptance Model (TRAM) to augment TAM by taking technology readiness construct into the realm of consumers' adoption of innovations. The results indicate that TRAM substantially broadens the applicability and the explanatory power of either of the prior models and may be a better way to gauge technology adoption in situations where adoption is not mandated by organizational objectives. Further, theoretical and practical implications and future research directions are discussed. © 2007 Wiley Periodicals, Inc.     

The role of the brand in driving online loyalty for multichannel retailers

Multichannel retailers offer shoppers the possibility to cross channels to complete their shopping process. Multichannel retailers, unlike pure online sellers, offer shoppers multiple contact points to experience the brand. Also, multichannel retailers can leverage the trust and attachment to their brands that has been built with their offline presence to drive customers to buy online. Our paper explores the role of the customer relationship with the brand, with variables such as brand trust, brand attachment and length of brand relationship, as drivers of loyal behaviours towards the online channel. We compare the impact of these variables with those of the technology acceptance model. Multiple linear regression analysis is applied to data collected through a survey answered by 1533 multichannel retail shoppers in two product categories (apparel and consumer electronics) in two countries (UK and Spain). Our findings show that both brand trust and brand attachment have a positive impact on loyal behaviours towards the online channel, and that different loyalty behaviours, i.e. purchase intentions, word of mouth and electronic word of mouth are explained by different variables.     

电子零售商顾客满意度模型的构建

随着信息技术的发展和顾客消费观念的快速转变,电子零售业得到了高速发展,而顾客满意度测评也成为电子零售业客户价值管理的重要手段。传统购物环境下的顾客满意度模型无法有效应用于电子零售业的管理,必须结合电子零售业的特点,构建出一个包含产品、服务与系统三大要素的新的顾客满意度测评模型和计量方法及指标,从而为电子零售商提供一个客观、科学的客户价值管理参考资料。     

Navigating contradictory logics in the field of luxury retailing

When designing luxury retail experiences, luxury managers are often encouraged to focus on a single logic: the logic of distinction. Evidence suggests, however, that multiple logics influence the field of luxury retailing. In this paper, we explore the implications of such multiplicity, focusing particularly on logics coming into tension with one another. Our research questions are: 1) What are the logics that come into conflict in luxury retail settings and 2) How can luxury retail managers navigate conflicts between logics to facilitate positive customer experiences in luxury retail settings? Based on extensive ethnographic fieldwork in the luxury field, we find conflicts mainly between three logics: distinction, pragmatism, and hedonism. We show that each logic is underpinned by different values, different linguistic practices, and different focal objects. We further find that conflicts between the logics tend to become acute during specific interactions during the customer journey. Our findings also suggest that since luxury boutiques are by and large designed to enforce the distinction logic, luxury retailers at times struggle to accommodate and navigate the conflicts that occur between these logics. We identify three interrelated sets of practices, collectively referred to as experiential hybridization, that effectively allow luxury retailers to address the challenge of logic complexity. Theoretically, our research helps illuminate institutional logics as a factor that informs customers’ experiences in contemporary retail fields such as luxury. Managerially, we suggest ways for luxury retailers to manage logic conflict and deliver superior customer experiences.     

Breathing Down Your Neck!: The Impact of Queues on Customers Using a Retail Service

While a rich body of research has examined the psychological costs and benefits of queuing, this research focuses on the customer currently using a retail service and examines how this customer is affected by lines forming at his or her back. Drawing on Social Impact Theory, we postulate that customers feel pressured by people waiting behind them and that this feeling of social pressure leads to more negative affective experiences, poorer participation in co-creation settings, and lower perceptions of service quality. Five field and controlled experimental studies tested these predictions and also explored how retailers can reduce the adverse impact of queues. Studies 1A and 1B show that the customer’s experience deteriorates as queue length increases and that perceptions of social pressure mediate this effect. Studies 2A and 2B show that this effect is moderated by customers’ own waiting time such that customers are more affected by queues forming at their backs when their own waiting time decreases. Finally, study 3 identifies two strategies to attenuate the negative effects of waiting lines, namely explicitly reassuring the focal customer that she need not feel pressured to be efficient and removing the waiting customers from the line of vision of the focal customer.     

The Language Backfire Effect: How Frontline Employees Decrease Customer Satisfaction through Language Use

Extant marketing research holds that customers prefer frontline personnel to speak the customers’ first language. Furthermore, current managerial practices instruct frontline employees to either use the customers’ first language or, in international settings, to use English. Through five studies in different retail and service contexts, we identify situations where the opposite is true. The results of the first two studies suggest that if customers initiate contact in a second language, the frontline employee’s switch to the customer’s first language constitutes an identity threat leading customers to feel less satisfied; an effect we term the language backfire effect. Our third study extends these results to a domestic context to test for the impact of linguistic acculturation on how immigrant customers perceive frontline employees’ language switch. The fourth study replicates the findings in a real-life retail context. These results present a paradox for marketing research: although frontline employees switch to customers’ first language to accommodate them, these actions might not have the desired consequences. Having identified and described the problem of the language backfire effect, our final study introduces and verifies a managerially actionable solution: combining the language switch with a language proficiency compliment offsets the language backfire effect.     

Proposal for modeling social robot acceptance by retail customers: CAN model + technophobia

Acceptance of social robots (SRs) in retail is a new field of research in marketing arising from the dilemma between the potential benefits of SRs and the possibility that shoppers will reject them. The main aim of this paper is to advance in the modeling of new technology (NT) acceptance by proposing an extension of the integrative Cognitive-Affective-Normative (CAN) model that improves its explanatory and predictive power by including technophobia (TE) with a view to understanding SR acceptance in retail. The CAN + TE model is tested with a sample of 1069 individuals, resulting in an R² of 0.73, surpassing the explanatory power of classical models. Emotions – specifically, pleasure – and TE are found to be the biggest drivers of SR acceptance for retail customers, followed by performance expectancy and social influence. Arousal and effort expectancy have no significant effect. These findings have theoretical implications for NT modeling and practical implications for reviving retail – which has been hit hard by the pandemic – opening research lines in both contexts related to the future of SRs.     

Exploring the involvement-patronage link in the phygital retail experiences

Phygital retail experiences connect physical and digital worlds together to create unique experiences among customers. Despite the widespread uses and applications of phygital retailing, the involvement-patronage link remains unexplored. This paper thus aims to make up this gap by examining the effects of customer involvement on their patronage intentions in the phygital retail context. More specifically, building on the social exchange theory, this paper mainly addresses the effects of five dimensions of involvement on customer engagement; and the influence of customer engagement on their patronage intentions in the phygital retailing. The role of customer innovativeness as a boundary condition is also explored. Data were collected from 237 customers who experienced phygital retail stores and analyzed through structural equation modeling. The results show that five facets of involvement (i.e., risk importance, risk probability, sign, interest, and pleasure) affect customer engagement, which eventually affects customers’ patronage intentions of phygital products. This study further identifies that the effects of each dimension of involvement on customer engagement are higher (lower) among the customers with high (low) innovativeness. The findings of the study offer significant theoretical and managerial implications.     

An improved collaborative filtering approach for predicting cross-category purchases based on binary market basket data

Retail managers have been interested in learning about cross-category purchase behavior of their customers for a fairly long time. More recently, the task of inferring cross-category relationship patterns among retail assortments is gaining attraction due to its promotional potential within recommender systems used in online environments. Collaborative filtering algorithms are frequently used in such settings for the prediction of choices, preferences and/or ratings of online users. This paper investigates the suitability of such methods for situations when only binary pick-any customer information (i.e., choice/non-choice of items, such as shopping basket data) is available. We present an extension of collaborative filtering algorithms for such data situations and apply it to a real-world retail transaction dataset. The new method is benchmarked against more conventional algorithms and can be shown to deliver superior results in terms of predictive accuracy.     

Moderating effect of customer's retail format perception on customer satisfaction formation: An empirical study of mini-supermarkets in an urban retail market setting

Customer perceptions of retail formats have become ambiguous with new value-added features of traditional retail formats. Hence, this paper proposes a framework for explaining retail patronage formation under the condition that customers perceive the ambiguity of retail format boundaries. The moderating effect of customers' retail format perceptions on customer satisfaction is examined using data from Japanese mini-supermarket customers. Results indicate that customers' perceptions of retail formats partially influence customer satisfaction. Theoretically, this implies that considering retail format as a concept that customers construct a posteriori may be necessary and practically indicates that retail practitioners should manage customers’ retail format perception.     

An Integrated Model of Quality for Mass Services in the Context of the Ghanaian Retail Banking Sector

This study draws upon the service literature and operationalizes the investment model in the services domain to examine factors that contribute to customers’ desire to maintain service relationships with firms (i.e., retail banks) in an emerging economy in sub‐Saharan Africa: Ghana. We empirically test the explanatory power and robustness of the investment model using 218 customers of various banking institutions in Ghana. Results from partial least squares—structural equation modeling (PLS‐SEM)—reveal that (1) service quality is positively associated with customer satisfaction, investment size, and customer commitment; and (2) while customer satisfaction is positively associated with customer commitment, both investment size and quality of attractive alternatives are not associated with customer commitment. Interestingly, we found investment size to have a positive association with customer commitment only when fully mediated by customer satisfaction. Our model reveals that service quality and customer satisfaction predict 79.3% of the variation in customer commitment toward maintaining a service relationship with their retail banks. Discussion and managerial implications conclude the article. © 2015 Wiley Periodicals, Inc.     

The Effect of Cultural Distance on International Marketing Strategy: A Comparison of Cultural Distance and Managerial Perception Measures

ABSTRACT

The purpose of this article is to examine whether service convenience increases customer satisfaction that fosters customer loyalty in Indian commercial banks. A cross-sectional study of 352 retail banking customers through questionnaires was conducted. The population of the study is retail urban customers of banks in Rajasthan. Responses are analyzed using structural equation modeling. Dimensions of service convenience are decision convenience, access convenience, transaction convenience, benefit convenience, and postbenefit convenience. Decision convenience was found to influence customer satisfaction more than the other dimensions of service convenience. Customer satisfaction furthers customer loyalty. The article emphasizes the significance of SERVCON on customer satisfaction for the Indian banking sector. The direct impact of SERVCON on customer loyalty is also studied.