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The purpose of this study is to explore the role played by digital channel integration in the town-centre shopping experience. It also explores how customers perceive the role of digital in the town-centres shopping journeys, improves shopping experiences and encourages positive future patronage behaviour. Ultimately, the aim is to identify the likely implications of a connected shopping experience on patronage intentions.

A qualitative research design using focus groups to explore customers' perceptions of connected town-centre shopping experiences was deployed. Then, data were analysed using thematic analysis to identify overarching themes.

Digital integration has the potential to serve discreetly different functions in the town-centre context: create interconnected information channels, facilitate improved connected shopping experiences, generate positive perceptions of a town, which subsequently shape future patronage intentions. The study also revealed expectations of digital integration are yet to be fully realised in the town-centre context and there are tensions between physical and digital domains to be overcome if digital integration is to positively influence patronage intentions.

The nature of exploratory research tends to pose questions and open out a problem rather than provide definitive answers. This study has sought to highlight key issues and also provide points of departure for future studies. The significance and generalisability of the results are limited by the size and nature of the sample.

This study provides theoretical contribution to the town-centre literature by expanding the understanding of consumers' perceptions of the role of digital integration in shopping journey experiences and unlocks insights into its potential impact on future patronage intentions. Practical considerations for integrating digital in the town centre to create more connected shopping experiences.

The shopper journey can cross a number of channels leading up to the point of a possible purchase, which may be unseen by the retailer or brand for the targeted purchase. The purpose of this paper is to gain a greater understanding of the decision making and purchase intention activity for online Millennial shoppers in deciding what fashion garments to buy in the digital retail environment. The paper also investigates the use of technology and social media involvement in the shopper journey leading up to the point of purchase.

In line with other studies that investigated online shopper behaviour (Balabanis and Reynolds, 2001; Pavlou et al., 2007), the authors have undertaken an exploratory investigation using an online survey conducted with respondents sourced through using Survey Monkey Audience. The survey was conducted with over 580 respondents (49.7 per cent female and 50.3 per cent male) between 16 and 34 years old living in England.

The findings highlight a picture of shoppers going on very different shopper journeys with different lengths, influenced by different touch points and using different media and devices. Each customer has their own individual experience and expectation. They can move through extremely diverse, long and complicated journeys in the buying process before they purchase a product. Most striking is their willingness to reach out and be influenced by other people beyond the control of any retailer – using platforms that are not necessarily specifically related with any retailer. Shoppers can undertake numerous activities before they make their final purchase decision, seeking content from different retailers, asking for social validation of their decision from their social networks both online and offline which is often out of sight of the retailer or brand.

The findings show how retailers and brands can understand the shopper decision journey and their behaviours across all the devices and channels that are used. Moreover, for some or part of the digital journey the shopper can often be unseen by the retailer or brand.

Consumers actively seek out novelty, knowledge and inspiration but shoppers employ a variety of interactions over a much greater period of time to arrive at the moment of purchase. This research provides an insight into the range of complex views and positions held by each individual to get a much more complete picture of where shoppers are looking to buy and what are their interests.

The purpose of this paper is to uncover the motivational tensions underlying mobile shopping (m-shopping) behaviours. The authors focus on consumer motivations and the pursuit of life end goals with respect to m-shopping.

Based on the means-end chain theory, hard-laddering approach was used to elicit associations between attributes, consequences and values from 251 online participants. Content analysis was used to develop a hierarchical value map “mapping” these associations to uncover underlying values for m-shopping.

Mobile shoppers are motivated by their self-actualisation needs (self-focused) and/or social needs (other-focused). Participants’ response contradictions reflected internal complexities and ambivalences during their purchasing decisions. Decisions are based on their concerns around security, time, technological or financial.

This study provides managerial insights into retail marketing and strategies. Marketers should consider creating user-friendly applications by researching the customer journey experience, heightening security measures and ensuring that added-value offers are clearly communicated to meet consumers’ personal values and motivations.

The paper presents an original conceptual contribution of personal values related to m-shopping as desires for self-empowerment, altruism and relationships with others, self-fulfilment and hedonism and possible consumer internal conflicts.

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.

Retail customers are now omnichannel both for attitude and behavior. Since individuals interact with multiple touchpoints throughout their shopping journey, retailers must consider all channels holistically as consumers do, in order to provide them with a unified shopping experience. Thus, recently retailers are showing an increasing interest in the deployment of advanced in-store systems aimed at enhancing the shopping experience by providing customers with innovative tools able to engage them for obtaining deeper insights, saving time and feeling more independent while shopping. Such technologies can help retailers to better react to those emerging settings by: acquiring a positive image and reputation, being perceived as innovator; reducing management costs; maintaining and acquiring loyal consumers; making imitation strategies as difficult as possible for competitors; and reaching a unique and differentiated positioning. The purpose of this paper is to explore whether and how store technology positively affects the customer experience in an omnichannel retail environment and if the early adoption of in-store technology by retailers produces a sustainable competitive advantage.

To achieve the research aim and deeply explore the phenomenon of interest, a multiple-case study involving 15 retailers, operating in different industries of the Italian market, was carried through 80 semi-structured in-depth interviews with store managers and employees.

Results of the content analysis show that customers are increasingly willing to use the in-store innovations in order to obtain richer shopping experiences while retailers achieve a stronger brand loyalty as well as a better and updated brand image.

This paper contributes to the relevant literature by proposing two conceptual frameworks. It provides a deeper understanding of possible advantages and threats resulting from early technology adoption by retailers, which is becoming essential for improving the omnichannel customer management and increasing business performance.

Service research offering a view of both the dark and bright sides of smart technology remains scarce. This paper embraces a critical perspective and examines the conflicting outcomes of smart services on the customer experience (CX), with a specific focus on chatbots.

This study uses empirical research methods to examine a single case study where an online retail service provider implemented a chatbot for customer service. Using discourse analysis, we analysed 7,167 conversations between customers and the chatbot over a two-year period.

The analysis identifies seven general themes related to the effects of the chatbot on CX: interaction quality, information gathering, procedure literacy, task achievement, digital trust, shopping stress and shopping journey. We illuminate both positive (i.e. having a pleasant interaction, providing information, knowing procedures, improving tasks, increasing trust, reducing stress and completing the journey) and negative outcomes (i.e. having an unpleasant interaction, increasing confusion, ignoring procedures, worsening tasks, reducing trust, increasing stress and abandoning the journey).

The paper develops a comprehensive framework to offer a clearer view of chatbots as smart services in customer care. It delves into the conflicting effects of chatbots on CX by examining them through relational, cognitive, affective and behavioural dimensions.

This research aims to conceptualize and validate the mall service design as a multidimensional construct and then test a conceptual framework by investigating the impact of mall service design on customer mall experience and its subsequent outcomes, that is, intention to revisit and desire to stay in mega shopping malls.

The survey data of 455 shopping visitors in Pakistan were collected using a mall intercept technique and tested through structural equation modeling in AMOS.

The study reveals that service design significantly impacts customer experience and subsequent outcomes. Customer mall experience mediates the relationships between mall service design and the intention to revisit and desire to stay at malls.

Data from a collectivist culture country (Pakistan) were collected. To explore the impact of service design on customer mall experience, researchers should conduct similar studies in individualistic societies like Europe and North America. Additionally, the authors recommend assessing the effect of each dimension of service design on customer experience separately.

The research provides policy guidelines for the owners and operators of mega shopping malls in developing experience-oriented retailing strategies based on service design.

The research conceptualizes and validates the mall service design as a multidimensional construct using the service theater model and empirically tests its relationship with the customer mall experience.

This paper aims to understand Chinese tourists’ changing shopping experience in Macao. In scrutinizing reviews posted in the pre-COVID and during COVID eras, the study has identified changing patterns in Chinese tourists’ shopping experiences, including increased leisure components while shopping, decreased luxury pursuits and an improved overall leisure and shopping experience because of decreased prices in accommodation and a less crowded retail and leisure environment. An emergent opportunity to provide “retail-tainment” experience is discussed.

Discount food stores opened within days of each other in Welshpool and Porthcawl earlier this year. How have established retailers been affected in these two very difficult towns with their traditions of small independents (Welshpool) and larger supermarkets (Portcawl)? What has been the impact on shoppers from the surrounding countryside? Are the new stores nine‐day‐wonders or have they already attracted loyal customers? These are some of the questions investigated by the authors who are currently continuing their study of the effects of the discount stores on existing retail outlets in Welshpool and Porthcawl.

This study aims to analyze the impact of newly created brand awareness on customer’s buying behavior in online environment.

The authors analyzed more than 280,000 online customer journeys from four e-commerce stores based in Slovakia. Within the results of the interaction analysis of individual customer journeys, the authors determined three criteria based on the level of theoretical brand awareness. The purpose was to determine their occurrence in real-world data.

It was found that each of the specified criteria accounts for the significant share of the company’s revenues. Based on these criteria and the level of their occurrence, the authors introduced the term direct traffic effect.

Because of the available Web analytics tools, the data might be imprecise because of data collection issues. There is also ambiguity in the interpretation of the customer journey.

The company can build awareness among prospective customers by offering them a positive customer experience during the first interactions online. Data proved that customer will not only repeatedly visit the website from the direct traffic source but also his customer journey will end with the purchase of the company’s products.

This paper fulfills the need for further research on the impact of multi-channel marketing on brand awareness and consumer behavior, respectively.