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Effective customer journey design (ECJD) is considered a key variable in customer experience management and an essential source of brand meaning and pro-brand behavior. Although previous research has confirmed its importance for driving brand attitudes and loyalty, the role of consumer-brand identification as a social identity-based influence in this relationship has not yet been discussed. Drawing on construal level and social identity theories, this paper aims to investigate whether effective journeys and the resulting overall journey experience are equally powerful in driving brand loyalty among customers with different levels of consumer-brand identification.

The present article develops and tests a research model using data from the European and US service sectors (N = 1,454) to investigate how and when ECJD affects service brand loyalty.

Across two cultural contexts, four service industries and 33 service brands, the results reveal that ECJD is a crucial driver of service brand loyalty for customers with low consumer-brand identification. Moreover, the findings show that different aspects of journey effectiveness positively impact the valence of customers’ experience related to those journeys – a process that is ultimately decisive for their brand loyalty.

This study is unique because it generates theoretical and practical knowledge by combining the literature streams of customer journey design, customer experience and branding. Furthermore, this work demonstrates that consumer-brand identification is a critical boundary condition to be considered in the relationship between ECJD and brand loyalty in services.

With the advancement of digital transformation, it is important for e-retailers to use artificial intelligence (AI) for customer engagement (CE), as CE enables e-retail brands to succeed. Essentially, AI e-marketing (AIeMktg) is the use of AI technological approaches in e-marketing by blending customer data, and Retail 4.0 is the digitisation of the physical shopping experience. Therefore, in the era of Retail 4.0, this study investigates the factors influencing the use of AIeMktg for transforming CE.

The primary data were collected from 305 e-retailer customers, and the analysis was performed using a quantitative methodology.

The results reveal that AIeMktg has tremendous applications in Retail 4.0 for CE. First, it enables marketers to swiftly and responsibly use data to anticipate and predict customer demands and to provide relevant personalised messages and offers with location-based e-marketing. Second, through a continuous feedback loop, AIeMktg improves offerings by analysing and incorporating insights from a 360-degree view of CE.

The main contribution of this study is to provide theoretical underpinnings of CE, AIeMktg, factors influencing the use of AIeMktg, and customer commitment in the era of Retail 4.0. Subsequently, it builds and validates structural relationships among such theoretical underpinning variables in transforming CE with AIeMktg, which is important for customers to expect a different type of shopping experience across digital channels.

With the continued rise of digital marketing, the opportunity for the hospitality industry to re-imagine and re-design processes and systems to create a seamless customer journey has never been bigger.

In this chapter, the authors look at how customer experience drives innovation and how our changing values, precipitated by social, economic and behavioural flux, mean that hospitality and tourism brands are creating new systems and processes.

The COVID-19 pandemic saw an influx of technology solutions that offered the service industry a multitude of platforms to capture the public's attention to drive both profit and guest experience. The authors have found that the pandemic accelerated trends, and customers have now become increasingly accustomed to instantaneous service. This chapter explores how technology has been leveraged to meet this behaviour and the guest expectations associated with it.

The authors have interviewed four hospitality leaders from various sectors of the hospitality industry to help identify and analyse customer and employee trends. These leaders included: Florence Alloing – Group General Manager at Georgian House in London; David Gardner – Managing Partner at 80 Days; Rob Flinter – General Manager of Park Plaza Waterloo in London and Andrea Shaw – Director at FM Recruitment. Each interviewee was presented with a questionnaire to explore their experiences regarding customer experience, guest expectations, technological advancement, recruitment and organisational values. The authors used a thematic method to identify trends and have presented these findings to support the article. All quotes from these interviews will be referenced (Donald & Donald, 2023).

The wine market has witnessed intensified competition across all aspects. However, there is a limited systematic assessment of wine marketing literature. This study employs bibliometric and thematic content evaluation methodologies to present a comprehensive summary and trend of the existing research in wine marketing.

This integrates bibliometric and thematic content analytical techniques to trace the evolutionary arc of wine marketing research, underpinned by a framework-based evaluation - the 4 Ws (what, where, why, and how) to give a thorough overview of wine marketing literature. We draw on the thematic structure of wine marketing research by conducting keyword co-occurrence, thematic, social network, and cluster-based content analyses. A total of 291 publications from peer-reviewed journals, spanning the years 2001–2023, were examined in the present study.

The bibliometric analysis is used to determine the most notable journals, authors, nations, articles, and themes, thereby offering a comprehensive understanding of the publication trends within the sphere of wine marketing. Based on the findings, this study advocates a research agenda to extend further contributions to the field of wine marketing.

The study performs a comprehensive analysis of the publication patterns, influential authors, and emerging trends within the wine marketing research field. It provides a unique insight into the evolution and development of wine marketing as a scholarly discipline, facilitating future research directions and knowledge advancement.

Although the needs and desires of customers are different, obtaining positive and negative experiences is an inevitable consequence of consuming products and services purchased by the consumer. The nature of these experiences is very important for the retail industry and in particular sports stores, as the intangible experience includes the main essence of the products and services provided by businesses; in other words, sports products are mostly experience-oriented and can be classified as an overall experience. Despite the importance of the consumer experience as a dominant and effective paradigm in consumer behaviour, the design of sports customer experience has received less attention from researchers. Therefore, the present study seeks to answer the question of what aspects of creating and developing the customer experience in sports and recreational complexes are. To answer this question, this chapter attempts to identify the areas of creating customer experiences in sports and recreational environments by examining the case of the Enghelab sports and recreational club (in Tehran, Iran) using qualitative research methods and interviewing experts in this field and using the content analysis technique. The findings indicate that cognitive, functional, comprehensive, human, physical, functional, aesthetic, sensory, social, emotional and communal components are the most important components of creating and enhancing customer experience in sports and entertainment complexes.

Therefore, the owners, managers and marketing unit of these collections should invest in the creation and development of these components in the design of their strategic marketing plans in order to provide a memorable experience for the customer during their journey and finally be able to benefit from the subsequent positive consequences such as customer satisfaction, word-of-mouth advertising, loyalty and return intention.

This paper aims at understanding how automotive firms integrate customer relationship management (CRM) tools and big data analytics (BDA) into their marketing strategies to enhance total quality management (TQM) after the coronavirus disease (COVID-19).

A qualitative methodology based on a multiple-case study was adopted, involving the collection of 18 interviews with eight leading automotive firms and other companies responsible for their marketing and CRM activities.

Results highlight that, through the adoption of CRM technology, automotive firms have developed best practices that positively impact business performance and TQM, thereby strengthening their digital culture. The challenges in the implementation of CRM and BDA are also discussed.

The study suffers from limitations related to the findings' generalizability due to the restricted number of firms operating in a single industry involved in the sample.

Findings suggest new relational approaches and opportunities for automotive companies deriving from the use of CRM and BDA under an overall customer-oriented approach.

This research analyzes how CRM and BDA improve the marketing and TQM processes in the automotive industry, which is undergoing deep transformation in the current context of digital transformation.

Small retail stores in the luxury market face significant challenges due to fluctuations in market demand. This task turns challenging as it requires effectively coordinating and translating customer needs into specific requirements that align with retail goals and available resources. However, limited empirical research exists investigating how managers can address service value and quality attributes in small retail stores. This article aims to bridge this gap by investigating the role of quality function deployment (QFD) in improving market and quality requirements management in small retail stores.

Based on the case study, a customer survey was initially conducted to gather information on critical characteristics valued in the luxury retail segment. QFD was used to assist the company in identifying and prioritizing key quality attributes to meet customer requirements effectively.

The findings demonstrate that implementing QFD in small luxury retail stores empowers managers to identify previously neglected product and service quality aspects. The article shows that QFD informs organizational adaptations that align with the demands of the retail market, leading to an improved ability to meet customer expectations and enhance customer value through the development of enhanced products and services. The study showcases the efficacy of the tested methodology in effectively capturing and prioritizing both tangible and intangible customer needs in retail.

Findings offer valuable insights to retail managers of small luxury stores, providing actionable market-oriented strategies. By implementing the recommended practices, managers can improve the store’s competitiveness and better cater to the customer base.

This study contributes to bridging persistent knowledge gaps by addressing the unique context of small luxury retail stores and introducing the application of QFD in this setting. The insights gained from this research are relevant to both retailing and quality management literature. Considering the growing prevalence of transformations in the retail industry, the study provides practical implications for retail managers in effectively navigating these changes.

This study aims to investigate the integration of blockchain technology into the food supply chain within the restaurant industry. It focuses on how blockchain can be applied to enhance transparency and trust in tracking food sources, ultimately impacting customer satisfaction.

A service design workshop (Study 1) and three between-subjects experiments (Studies 2–4) were conducted.

Results indicate that blockchain adoption significantly improves traceability and trust in the food supply chain. This improvement in turn enhances customer satisfaction through perceived improvements in food safety, quality and naturalness. This study also notes that the effects of blockchain technology vary depending on the type of restaurant (casual or fine dining) and its location (tourist destinations or residential areas).

The findings offer practical insights for restaurant owners, technology developers and policymakers. Emphasizing the benefits of blockchain adoption, this study guides decision-making regarding technology investments for enhancing customer service and satisfaction in the hospitality sector.

This research contributes novel insights to the field of technology innovation in the hospitality industry. It extends the understanding of signaling theory by exploring how blockchain technology can serve as a tool for signal transmission in restaurant food supply chains.

This study employs a multi-method approach to investigate how perceived relationship marketing investment affects perceived relationship value and consumer gratitude, influencing consumer involvement, word-of-mouth intentions, and long-term relationships across three retail consumer types.

The study analyses a model involving 542 consumers, employing structural equation modeling and fuzzy-set qualitative comparative analysis to identify distinctive factor configurations across public, semi-public, and private retail organizations.

A retailer’s investment in relationship marketing significantly enhances relationship value and consumer gratitude, leading to increased engagement and word-of-mouth intentions. Perceived benevolence moderates the effect of relationship marketing on gratitude. However, gratitude alone does not ensure long-term relationships. Using fsQCA, we identify four distinct consumer configurations, providing nuanced insights.

Retail organizations broaden relationship marketing strategies to boost perceived value and elicit consumer gratitude, influencing consumer performance outcomes.

Retail organizations should broaden relationship marketing strategies to boost perceived value and elicit consumer gratitude, influencing consumer performance outcomes.

Managers should develop strategies that lead to consumer gratitude toward the firm, such as journey mapping can help visualize retail delivery. Grateful consumers may contribute to firms’ profitability by influencing current and potential consumers in their social networks and communicating their expertise through review/feedback for improvement. Therefore, various strategies are needed to stimulate positive comments from grateful consumers about the firm’s excellent performance.

This study builds on Lawler’s affect theory, highlighting how relationship value and consumer gratitude profoundly influence exchange process outcomes. It introduces new psychological mechanisms to explain the impact of perceived relationship marketing investment on performance outcomes. Integrating these elements provides a comprehensive understanding of retailer–consumer dynamics, revealing how emotional and psychological factors shape marketing strategies and business performance. This contribution enriches theoretical frameworks and offers practical insights for enhancing relationship marketing practices.

This study proposes a framework that demonstrates how the perceived value of augmented reality (AR) shopping influences the formation of psychological ownership of product and technology. The mediating role of flow experience and the moderating role of perceived control are identified.

An online survey study recruiting 480 participants who experienced AR shopping was conducted to test the hypotheses.

Functional value is negatively related to psychological ownership of product and technology whereas emotional value shows opposite effects. Flow experience mediates the relationships between functional/emotional value and psychological ownership of product and technology. Perceived control moderates the relationship between emotional value and flow experience, as well as the relationship between functional/emotional value and psychological ownership of product and technology.

The findings suggest the importance of AR’s functional and emotional values in developing psychological ownership of product and technology. To mitigate the negative effect of functional value, AR designers should focus on creating emotionally engaging apps that induce a flow experience, thereby enhancing psychological ownership. Furthermore, AR apps should be designed to empower users with a sense of control in the AR experience.

This research contributes to the AR and psychological ownership literature. It introduces a model that can explain both the formation of psychological ownership of product and psychological ownership of technology, thereby expanding the current understanding. By adding perceived values as antecedents of psychological ownership, it enriches the psychological ownership literature. Moreover, it enhances the flow experience literature by demonstrating the role of flow experience in the formation of psychological ownership of product and technology.