Exploring customer experience during channel switching in omnichannel retailing context: A qualitative assessment

Customer channel switching behaviour in the digital revolution is becoming more complicated and difficult to comprehend. This study follows the interpretative approach to examine customer intention behind channel switching behaviour and the customer experience during the channel switching journey in the omnichannel context. To explore the phenomenon, we conducted twenty-three in-depth interviews and four focus group discussions with millennial customers of electronic goods omnichannel retailers. We found two new reasons for channel switching—the influence of social groups and perceived self-efficacy of the switching behaviour. Key factors affecting channel choices during switching are product attributes, trust/perceived uncertainty, social influence, customer characteristics, review culture, and time constraints. Customers expressed mixed emotions during the journey, which affected their choices during channel switching. We further proposed a framework to explain channel switching behaviour under the social cognitive theory. The study furthered the reasons for channel switching and the customer experience during switching. To the best of our knowledge, this study is pioneering, in examining the phenomenon in the omnichannel retailing context. Based on the findings, the study provides suggestions to enhance customer experience optimisation and retention strategies for omnichannel retailers.     

Challenging the integration imperative: A customer perspective on omnichannel journeys

Omnichannel literature largely assumes that retailers should integrate touchpoints across channels to promote seamless experiences. This paper challenges this assumption by exploring how perceived journey integration affects customer experience in omnichannel retailing. A qualitative study reveals that two dimensions of journey integration—consistency and connectivity—interact to form four patterns of omnichannel journeys, each prompting distinct experiences. When looking at this phenomenon through the customer’s perspective, we find that there are cases in which low consistency or connectivity can trigger positive experiences, contradicting extant literature. We then formulate research propositions that challenge the “integration imperative” in the omnichannel literature and provide managerial implications for retail firms that want to improve their customers’ experiences.     

Quality of channel integration and customer loyalty in omnichannel retailing: The mediating role of customer engagement and relationship program receptiveness

The aim of this study was to understand how omnichannel integration quality affects customer loyalty through customer engagement and relationship program receptiveness and to verify the relationship between customer engagement and relationship program receptiveness in omnichannel retailing. Data was collected through a questionnaire with 378 available respondents. PLS-SEM was exerted to examine the model. The results disclosed the positive influence of omnichannel integration quality on customer engagement and relationship program receptiveness, which consequently impacted customer loyalty. Also, the positive influence of customer engagement on relationship program receptiveness was proved. Further, the role as mediators of customer engagement and relationship program receptiveness was explored. This study contributed to the omnichannel literature by confirming that psychological and behavioral customer engagement plays a vital role in omnichannel retailing. This study also helped omnichannel retailers understand that providing a seamless, consistent and reassuring environment can facilitate customer engagement and thereby gain customer loyalty.     

Service integration in omnichannel retailing and its impact on customer experience

Although omnichannel retailing has received considerable attention from scholars and practitioners in recent years, its impacts on customer experience and relationship outcomes remain unclear. Therefore, this study aims to examine the effects of two components of service integration in omnichannel retailing, namely service consistency and service transparency, on customer experience (i.e. flow and perceived privacy risk), and customer loyalty. Flow theory and hyperbolic discounting theory are employed to underpin these relationships. The data was collected using an online survey with 786 useable responses. Our findings indicate that service consistency has a direct and significant impact on flow and perceived risk while only the effect of service transparency on flow is significant. Moreover, both flow and perceived risk are related to customer loyalty to a retailer. Furthermore, it is found that showrooming behaviour and location-based service usage moderate the relationship between service consistency and privacy risk. The findings of the research provide important implications for a retailer regarding the development, implementation and management of omnichannel strategy.     

Personalization and hedonic motivation in creating customer experiences and loyalty in omnichannel retail

This study examines the effects of personalization and hedonic motivation on customer experience and its loyalty outcomes in omnichannel retail context. The study develops eight hypotheses which are tested using two survey samples (Finland (n = 2084) and Sweden (n = 2334). In addition, empirical analysis includes 20 semi-structured interviews. The findings support all the hypotheses confirming the positive relationships personalization and hedonic motivation have on cognitive and emotional customer experience components. Further, the positive effects of customer experience on loyalty are confirmed. The results provide both theoretical and managerial insights for improved CX and customer loyalty.     

How to retain customers in omnichannel retailing: Considering the roles of brand experience and purchase behavior

The opportunities and challenges of omnichannel in retail industry have been widely discussed, yet despite these benefits, the key elements that constitute an effective omnichannel and how customers respond to omnichannel retailing strategies remain unclear. This research conducted online surveys to test the effects of omnichannel elements on various brand experiences and customer retention, considering the moderating role of purchase behavior. The results indicate that omnichannel elements (integration, individualization, and interaction) are generally helpful in retaining customers, through omnichannel elements influence brand experiences differently. In addition, these omnichannel elements have different influences on customer retention due to different purchase behaviors. The findings suggest that retailers can use different omnichannel strategies to attract customers’ purchases and provide insights for practitioners who want to use omnichannel strategies to deliver superior experiences for customers.     

Change in technology-enabled omnichannel customer experiences in-store

This paper explores changes in technology-enabled omnichannel customer experiences in stores over a five-year period (2014–2019). It contributes to the omnichannel-experience-management literature through customer technology-enabled touchpoints within fashion retail. Adopting an exploratory qualitative approach, primary data were obtained using semi-structured interviews with millennial consumers. The findings demonstrate the growing importance of implementing and integrating in-store technologies to improve customer experience. From these, two models are developed: “technology-induced customer experience in-store”; and “technology-enabled customer shopping journey in-store”.     

Exploring phygital omnichannel luxury retailing for immersive customer experience: The role of rapport and social engagement

Omnichannel retailing has revolutionized the way retailers create strategies for engaging customers in making purchase decisions. Phygital is a new-age transformative form of omnichannel retailing that emphasizes combining the physical and digital elements, with a particular focus on the human touch to satisfy social and symbolic consumer needs. Extant research has not fully addressed the role of phygital in luxury fashion retail. We explore the research question regarding how human interactions with experienced salespeople add value to the phygital experience. In doing so, we contribute to the luxury marketing literature by addressing the research gap by elucidating the role of phygital functionality in enhancing rapport building, social engagement, and developing trust and commitment, which results in a seamless customer experience, along with enhanced loyalty and patronage. Through 18 in-depth qualitative research interviews conducted with luxury retail managers and senior retail leaders, we provide guidelines to managers and practitioners at retail firms, to create actionable growth-oriented strategies focused on leveraging phygital capabilities.     

How do firms handle variability in customer experience? A dynamic approach to better understanding customer retention

Firms invest in customer experience in the expectation that these investments will ultimately provide positive financial returns. In practice, however, customers are continuously exposed by the changes occurring in their personal perceptions of customer experience and market surrounding. Using a unique and comprehensive dataset containing customer-level and market-level information for a sample of 13,761 customers in the telecom market, we empirically test the proposed framework by applying multilevel modeling techniques. The results offer novel insights into the effects of customer experience, its variability (customer level), and market turbulence (market level) on customer retention, including the moderating effect of relationship age.     

An omnichannel approach to retailing: demystifying and identifying the factors influencing an omnichannel experience

ABSTRACT

The purpose of this research is to identify the factors that influence an omnichannel experience. Omnichannel is an emerging approach to retailing that responds to the changing nature of how customers shop in alternation between online and offline shops, and the increasing use of digital devices (e.g. smartphones and tablets), as a consequence retailers are focusing and establishing a seamless integrated approach to their services. Omnichannel is now a hot topic in retailing but there is a lack of empirical studies into the factors that influence an omnichannel experience. Using a mixed methods approach, we propose and empirically test a conceptual model that identifies four factors influencing an omnichannel experience: brand familiarity; customisation; perceived value, and technology readiness. We conceptualise omnichannel to include three key channels; in-store, online and mobile. Two hundred and forty-six questionnaires were collected and analysed using PLS-SEM and 11 interviews were carried out with marketing/ omnichannel professionals. Our results indicate that brand familiarity has a strong influence on omnichannel (in-store, online and mobile) while perceived value has a negative impact on the mobile experience. Our results show that retailers need to consider multiple factors, such as brand familiarity, customisation, perceived value and technology readiness as influencing factors of an omnichannel experience, and plan the use of multiple touchpoints simultaneously to enhance their overall customer’s experience. Although this study demonstrates the significant factors influencing an omnichannel experience, questions remain regarding the exact use of each touchpoint by customers and the extent of overlap between the touchpoints. which .     

The customer retail app experience: Implications for customer loyalty

Retailer mobile applications are one of the principal retail purchase and information search channels. Customer experience is key to retail app success. However, its dimensions and impact on retailer performance have been the subject of only a limited number of studies. This research builds on existing customer retail app experience literature by considering four dimensions as precursors of satisfaction with the retailers’ app and customer loyalty (cognitive, affective, relational and sensorial). Data were collected from a sample of 545 retailer app users and analysed using PLS-SEM. The results demonstrate that the affective dimension has the most influence and they highlight the importance of the sensory experience, which even surpasses the cognitive experience. The effect of the relational dimension on customer satisfaction, meanwhile, could not be positively confirmed. Analysis of the moderating effect of gender, age and device type used identifies effects that have not, until now, been demonstrated in current literature.     

From customer experience to human experience: Uses of systematized and non-systematized knowledge

The conceptual framework proposed herein reveals how firms might establish a human experience focus, using both systematized and non-systematized knowledge to identify points of pain and gain. Such efforts align with the critical need for firms to develop their approaches to the customer experience, by moving beyond addressing how customers respond to their offerings and toward thinking about the human experience of how firms respond to customers’ ambitions, beliefs, values, and feelings to interact in the manner customers prefer. To create a human experience, firms must manage it in relation to touchpoints, personalization, operations, and company culture, using systematized knowledge to monitor the experience, identify problems, and make improvements, together with non-systematized knowledge to innovate in relation to the experience.     

The harmonious role of channel integration and logistics service in Omnichannel retailing: The case of IKEA

Grounded on the stimulus–organism–response framework, this study investigated the mechanism by which channel integration and logistics service influence satisfaction and repurchase intention from customers’ perspectives. An online survey was conducted to collect data and partial least squares structural equation modeling was employed for model assessment. The results disclosed that perceived logistics service quality is an antecedent of perceived channel integration quality and that the two variables harmoniously influence customer satisfaction (transaction-specific and cumulative) which subsequently generates repurchase intention. Particularly, the results demonstrated that the respective contributions of perceived channel integration quality and perceived logistics service quality in enhancing transaction-specific satisfaction differ through the distinct hybrid experiences. This study had theoretical implications for the literature on omnichannel retailing and practical implications for managers of omnichannel retailers.     

Social interaction,convenience and customer satisfaction: The mediating effect of customer experience

The present study is an effort to investigate the impact of both convenience and social interaction on customer satisfaction and the mediating role of customer experience. A structured questionnaire was used to collect data (n=840) using systematic sampling from department store shoppers of age 18 years and above in India. Multivariate data analysis techniques like Exploratory Factor Analysis and Structural Equation Modeling were used to analyze the data. Results revealed that convenience and social interaction affect both customer experience and customer satisfaction. Arguably, this paper is the first to examine the four constructs namely, social interaction, convenience, customer satisfaction and customer experience using them together in the same model. Academic and managerial implications are further discussed.     

An integrated model of customer social exchange relationship: the moderating role of customer experience

This article addresses how the customer social exchange relationship affects customer satisfaction and, in turn, repurchase intention. On the basis of the stimulus–organism–response model, this article argues that perceived organisational support, perceived customer support, and perceived service provider support influence customer satisfaction, which in turn affects repurchase intention. Furthermore, this study argues that perceived organisational support is the most important predictor of customer satisfaction for high-experience customers, whereas perceived customer support is the most important predictor of customer satisfaction for low-experience customers. A survey of 144 users of the foreign language institute on a university reveals that most of these hypotheses are supported.     

The influence of customer experience with automated games and social interaction on customer engagement and loyalty in casinos

Drawing on experiential marketing theory, This study examines the relationship between casino customers’ experience with automated games and their engagement and loyalty responses to casinos. Social interaction as a proxy of visiting motivation is modelled as a moderator in the relationship. Customer behaviours include word-of-mouth, visiting frequency, and average spending. The study focuses on Australian land-based casino members with automated game experience. The results show that customer experience with some features of automated games had a positive and significant impact on customer engagement with the casino, which led to positive loyalty. Automated game experience also had an indirect effect on customer loyalty. Social interaction exhibited a significant moderating effect on the relationship between customer engagement and visiting frequency. Discussion and implications of these findings for the literature and practitioners conclude the paper.     

Guiding directions and propositions: Placing dynamics at the heart of customer experience (CX) research

Our study summarizes and synthesizes the content of our Special Issue along with additional information from customer experience (hereafter CX) managers and research to determine the main challenges and opportunities for the most important trend in CX practice and research alike: CX's dynamic nature. While widely acknowledged, CX researchers and managers have been struggling with how to research, address, and successfully manage CX's dynamic nature. Individual contributions build the foundation for our study, establishing a conceptual framework within which to successfully address the four main challenges at hand: time, the role of emotions, personal experience vicinity, and methods. We present guiding research directions and questions emphasizing fruitful avenues of enquiry.     

Recipes for achieving customer loyalty: A qualitative comparative analysis of the dimensions of customer experience

Theoretical literature on customer experience (CX) agrees that the effects of customer experience on customer behavior depend on different combinations of its dimensions. In contrast with unidimensional or integrated approaches to CX, determining customer behavior requires specifying how the dimensions of CX interact. However, empirical research on the interactions between CX dimensions has not, to our minds, progressed sufficiently. Therefore, in this study, we have advanced CX research by empirically demonstrating the ways in which customer loyalty can result from various dimensions; we do this by focusing on synergies between different CX dimensions within a DIY sector. A sample of 603 consumers from France, applied to a fuzzy-set qualitative comparative analysis (fsQCA) model, reveals two configurations that firms can use to achieve superior customer loyalty. The findings also specify that complementarity and substitutability effects result among CX dimensions when they reflect a perfect match, and not simply by adding extra dimensions. Further analysis reveals both distinct features and similarities among generational cohorts, in terms of CX dimensions assessment, and their relevance for customer loyalty. This article thus contributes to existing research by tracing the multiple CX paths that can lead to enhanced performance for firms within the DIY sector.     

The role of channel quality in customer equity management

Maximization of customer equity is a core objective of customer–company relationship management. We present an extended model of customer equity for determining the optimal allocation of marketing resources across acquisition and retention activities. Focusing on the negative relationship between acquisition and retention, we motivate channel quality as a relevant decision variable, explicate its role in the model, and demonstrate the existence of an optimal value. In addition, rather than making concavity assumptions about acquisition and retention rate response curves, we use the flexible ADBUDG model (Little, JDC, Models and Managers: the Concept of a Decision Calculus. Manag Sci 1970; 16(8): 466–484.), which allows for both S-shaped and strictly-concave relationships, and parameterize it using decision calculus. We show how to estimate and apply the model and then provide sensitivity analyses with respect to changes in the true values of model parameters as well as inaccuracy in managerial inputs. We conclude by comparing our model with extant models and discussing the implications of our research.     

There is a secret to success: Linking customer experience management practices to profitability

Customer experience (CX) and customer experience management (CXM) are key tenets of the presently dominant marketing research and management strategy paradigm. Despite CXM's prevalence, very little research explores its practices and links to company performance. This study tackles a rather elusive challenge for practice and research: how to connect customer experience (management practices) to company profitability. Based on a dataset of over 273 companies with dedicated CX strategies, we explore four different clusters of how companies manage their CX programs. Interestingly, each form of practice leads to a different performance outcome. Thus, our work lays the foundation for linking CXM practices to company performance, emphasizing which practices are more rewarding than others. The present study lays the groundwork for research to further elaborate on the cause-effect relationship between CX and performance and what the next and best CXM practices look like.