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Insights into how fan experience can be used to cultivate football (soccer) fan loyalty are limited. Based on the stimulus–organism–response (S-O-R) paradigm, this study develops and tests a theoretical model investigating the effects of football-game socialisation, team interest, football interest and transaction satisfaction (stimuli) on fanship and cumulative satisfaction (organism), and subsequently, attitudinal loyalty and behavioural loyalty (response). National culture was a moderator.

A self-administered online survey collected data from a convenience sample of 762 football fans from Brazil, China and Germany.

The PLS-SEM results support the S-O-R based model, indicating that football fan-loyalty behaviours are determined by fanship and cumulative satisfaction with the team. Fan experiences, in turn, are also found to be influenced by fan perceptions relating to socialisation, team interest, football interest and transaction satisfaction—elements over which the football team's management may exert some degree of control. Some national cultural differences were found, with three of the model's 12 structural paths significantly different for Germany vis-à-vis Brazil.

This study advances the authors’ understanding of the significance of socialisation and fan-interest factors for football, providing evidence supporting the role of the fan experience and service-consumption stimuli related to those game experiences as significant drivers (stimuli) of the fan's affective (fanship) and cognitive states (cumulative satisfaction). This study enriches the limited body of evidence on fanship's role as a driver of attitudinal and behavioural loyalty. Finally, the multi-country study partially supports the moderation effect of national culture.

Fashion retailers have increasingly adopted consumer-facing in-store technology (CFIT) to enhance the customer experience/service provision. This paper aims to explore managerial experiences and sociotechnical implications of introducing these technologies into organizational working processes.

This study draws on interpretive analysis of semi-structured interviews with 74 senior fashion retail industry practitioners, technology providers and consultants to understand managerial perspectives on technological innovation issues.

Endogenous and exogenous factors act as drivers or barriers to CFIT adoption and are influenced by strategic and tactical motives. Key issues that retail managers encounter include challenges in aligning technology implementation with retailer brand image to manage risk and reputation, with additional complexity arising from different internal and/or external actors involved, as well as required levels of change in organizational structure.

This study contributes an empirically derived framework identifying reasons for – and the drivers/barriers influencing – fashion retailers' CFIT adoption, classifying three broad approaches to CFIT adoption: embedded, transformative and opportunistic.

Introduction: Artificial intelligence (AI) and digitisation offer substantial human potential and profit margins, making them promising retail solutions. Retail leaders have successfully integrated comprehensive uses into their daily operations, while competitors heavily invest in new projects. The Indian retail sector is undergoing a significant transformation, which can be attributed to factors such as growing income, demographic characteristics, and enhanced consumerism, as well as the rapid development of new technologies such as digitisation and AI, which is changing both consumers’ and retailers’ buying behaviour.

Purpose: This study aims to determine the influence of AI on elements that drive digitisation in the retailing sector, as well as the factors that lead to organised retailers adopting digitisation and its impact on their business.

Methodology: The study employs a standardised questionnaire distributed to organised stores via an online link, and the data are analysed with SmartPLS software 3.0.

Finding: The retail sector is driven by elements that promote digitalisation in food and groceries retailing, such as simplicity of operation, adoption of digital payment, quicker internet connection, retailer consumer interface, and the involvement of AI.

Research implication: AI has significant consequences for retailing, which serves as the interface between marketers and customers.

Theoretical implication: The study’s findings reflect the perspectives of retailers, store managers, and entrepreneurs on how digitalisation and AI are crucial for the creation and growth of long-term competitive advantages in retail.

This study aims to follow a rigorous approach to identify, critically analyze and synthesize 75 papers published from 2000 to 2022.

The study presents a systematic literature review on identity expressiveness (IE), clarifying and expanding what is currently known about the concept.

To synthesize current knowledge on IE, the study uses the overarching framework of antecedents-phenomenon-consequences, using this same framework to identify gaps and future research directions. The findings show individual and brand-related factors such as the need for uniqueness and anthropomorphism as antecedents of IE, and eWOM/WOM, impulse purchases and upgrading to more exclusive lines as consequences of IE.

The study contributes to theory by synthesizing and mapping current understanding of the state of knowledge on the concept of IE while highlighting gaps in the extant literature and paving future research directions for scholars in the field.

The study offers useful insights for practitioners, broadening marketers’ actionable options in identity-based marketing. Marketers can use insights from this study to inform marketing strategy and communication campaigns for different types of brands.

To the best of the authors’ knowledge, this study is the first of its kind and offers an integrative review of the current literature on IE, thus enhancing understanding of the concept, its antecedents and consequences. The study also contributes to knowledge by highlighting future research priorities for researchers in this field of enquiry.

This study shows the influence of consumers' goal and strategy of maximization on the process behind their behavioral response to price.

Data was collected through a 2×2 experimental design involving 314 respondents and analyzed using PLS-SEM.

The results show that when buyers maximize, their transaction value and acquisition value perceptions predict their behavioral response to deals and discounts. Further, these buyers do not consider sales price information to form their internal reference price. On the other hand, when buyers satisfice, their transaction value perceptions predict the behavioral responses to price deals, and the relationship between transaction value and the behavioral response is not mediated by acquisition value. Further, such buyers consider sales price to form their internal reference price.

The theory of purchase value assumes that consumers seek to maximize their value. Our work relaxes this assumption to show how value maximizers (and satisficers) differ in the process of value formation and their responses to price promotions.

In the era of digital disruption and customer loyalty loss, it has become even more important to shape the experience journey of a firm’s stakeholders. The benefits of experience data (XD) analysis for a competitive advantage and firm performance are well proven in the business-to-customer context. Therefore, this study aims to explore the limited exploitation of XD in the business-to-business (B2B) context.

The data of 338 B2B firms is generated through computer-assisted telephone interviewing using a structured interview guideline. A Mann–Whitney U test and binary linear regression are applied to test hypotheses derived from literature.

The results suggest that XD non-collectors see XD increase efficiency, whereas XD collectors view XD strategically beyond customer data. Additionally, the successful application of XD in firms can be fostered by connecting XD with operational data through digitalised processes, strategic usage and data collection at certain defined points of time.

This study contributes to the understanding of XD perception between collectors and non-collectors and develops determinants for the successful application of XD management. Based on the results, B2B marketing executives from academics and practice can foster the implementation of XD management to improve all firm’s stakeholders’ experiences. In this way, this study contributes to the understanding of managing not only customers’ but other stakeholders’ experiences.

With the growing interconnectedness of global markets brought about by globalization and technological innovation, there is a heightened worldwide risk of money laundering, posing a considerable negative impact on economies and social equality. Therefore, the primary purpose of this research is to examine factors that underpin the pervasiveness of money laundering risk.

By using a cross-section sample of 84 countries, the study uses ordered logit and multinomial logit regression to test and explain the role of main and varied determinants of money laundering risk covering countries’ economic, social, regulatory and corporate environment.

The authors conclude that, overall, the macroeconomic indicators are less relevant in influencing money laundering risk than the other factors adopted from the Basel report. Nonetheless, the volume of exports and the exchange rate were robust in both the ordered and multinomial regression analyses alongside financial secrecy, auditing standards and corporate transparency. While more financial secrecy and a higher volume of exports were found to increase this risk, the other variables showed a negative relationship. The authors further conclude that it is mostly less secrecy, more transparency and better auditing that could gradually transform a high-risk country into medium risk.

This study recommends the implementation of publicly accessible ownership registries to address the issues around secrecy, transparency and auditing misconducts. Additionally, the general strengthening of laws and policies in these three domains is also necessary alongside the application of current technologies, such as machine learning, for the detection of money laundering.

The authors believe this study uses advanced econometric techniques rarely used in the literature on money laundering. Separating the impact of economic and social/regulatory is also valuable

The aim of this paper is to assess the use of social media by Gen Z consumers and the ways they impact on and re-shape their fashion consumption journey. This generational approach uses the lens of uses and gratifications theory (UGT) to explore the customer fashion retail journey from the perspective of the Gen Z consumer.

The research uses an exploratory approach in response to the relative lack of research in to GenZ consumers combined with a need to understand shopping journeys. Mixed methods were used with a first phase of interviews followed by a survey of 102 Gen Z students recruited online in the UK during the COVID-19 pandemic.

The study found that GenZ users of social media for shopping sought gratification from experiences derived from social relationships, entertainment and information. The need for immediate gratification was found in new information and meeting new people to maintain social relationships, learn about products and inform the shopping journey. Further, the research supported the importance of visual images in the affective gratification of shopping needs. Resale sites on social media were favoured for their low prices, information about previously owned fashion items and the opportunity to exercise sustainable fashion choices.

The research advances understanding of fashion shopping journeys through social media and online resale sites. It demonstrates that younger consumers, GenZ, shop through the gratification of experiences informed by their social networks and wider contacts. The linear stages of pre to post–purchase shopping are merged and looped as they exchange information about their shopping journey, from information gathering to post–purchase comments. The role of the brand to these knowledgeable consumers conducting their own resale trade is to facilitate access to and information about their products.

“Buy X Get X Free” promotions are popular across retail settings. Retailers promote a variety of products using this promotional frame. However, past research contains mixed findings about the effectiveness of this promotion compared to the straightforward discount on a single unit of a product. The goal of this research is to employ a theoretical lens to examine the effectiveness of “Buy X Get X Free” promotions.

The theoretical framework was tested in two experiments using different products and samples. The data collected from each experiment were analyzed using both descriptive and inferential techniques to assess support for the theoretical arguments.

Findings reveal that at identical levels of per-unit discount, the “Buy X Get X Free” promotion is perceived less favorably by consumers than a straightforward single-unit discount. Consumers perceive lower transaction value and acquisition value and, thereby, a lower purchase intention, from the “Buy X Get X Free” promotion compared to a single-unit discount.

This research was conducted keeping in mind the popularity of the “Buy X Get X Free” promotion in the real world. The findings caution retailers against indiscriminately using this promotional frame.

Using a theoretical lens, this research proposes and validates a framework to systematically examine consumers' perceptions of the two popular discount frames. The proposed theoretical framework provides a richer understanding of the underlying consumer psychology that drives the evaluation of these promotions. Further, primary data from lab experiments validates the framework. The research also helps advance the understanding of consumer evaluation of sales promotions in general.

Concerns on money laundering (ML) and terrorist financing increased, as ML accounted 2%–5% of the global GDP, with Switzerland, the USA, Canada, India and Russia having high laundering rates. Banks were fined over US$320bn in 2008, but money laundering still accounted for 3.6% of global GDP in 2009, thereby indicating the need for effective regimes. Therefore, this study aims to critically analyze the antimoney laundering (AML)/CFT regime of Somalia, identify loopholes in the regime, raise awareness and propose recommendations for regime improvement.

The qualitative research approach is used to compare Somalia’s AML/CFT regime with the corresponding regime of Malaysia through the black letter method combined with document analysis. Malaysia is selected as a benchmark for two reasons: firstly, it is an Islamic country like Somalia, and secondly, Malaysia has complied with integrity-related standards.

This study revealed that an impactful AML/CTF regime is reached by closing loopholes in the law, reevaluating and improving regulatory agencies and measures, facilitating formal financial services and collaborating with regional and international standard setters. According to the results, Somalia AML/CFT regime is counterproductive in criminalizing offenses; regulating digital currencies and mobile money, disclosures and nonfinancial business and provisions; and governing training requirements for regulatory agencies and financial institutions.

To the best of the author’s knowledge, this paper is the first of its kind in the study of Somalia’s regime building. Also, this study incorporates rich scholarly discourse on effective regime building.