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Online shopping cart abandonment presents a major problem for online fashion apparel retailers today. This exploratory research aims to validate scales that measure antecedents of online shopping cart abandonment (OSCA) and examine how these reasons contribute to OSCA behaviour. The findings indicated that the eight different reasons (financial reasons, organisational tool, time pressure, intangibility, privacy issues, aesthetic design, social influences and entertainment factors) that drive OSCA are distinct and account for unique variance in the model, validating the measures. Also, the findings revealed that financial reasons and using the cart as an organisational tool are the top two reasons why consumers abandon their carts. This study provides researchers with a better theoretical understanding of the reasons why consumers abandon their online shopping carts. It validates the various reasons why consumers abandon their shopping carts and provides valuable managerial insights on how online marketers may enhance the translation of online browsing behaviour into actual purchases.

Innovations in technology and evolution of internet elicited the usage of technology and internet during the shopping process of consumers. Changes in consumer shopping processes opened doors for shifts in consumer buying behavior. As a result of the variations in consumer buying behavior, retailers formed new channel structures to fulfill customer requirements. New channel structures created different retailing formats and enhanced the complexity of retailing processes. As the complexity of retailing processes increased, complexity of consumer shopping behavior increased as well. In this sense, multichannel retailing emerged and expanded all around the world and paved the way for omnichannel retailing. Transformation of multichannel retailing to omnichannel retailing created two different shopping forms as: Showrooming and Webrooming. In this chapter, showrooming and webrooming concepts will be studied and the complementarity dimensions of these concepts will be explained in detail.

In confining the COVID-19 pandemic, social distancing was key, with traditional, bricks-and-mortar retailing being shut-down for weeks, and have nearly universally moved into online channels. At the same time, online players have started to operate physical stores. This chapter provides an analysis of how COVID-19 has accelerated the digitalization of retailing, focusing on the shift towards the online and mobile shopping channel. On the basis of success stories and failures in retail business practice, lessons are distilled for developing effective future phygital scenarios.

Marketplaces are changing, and customers are demanding improved experiences where they want, how they want, and when they want. The omnichannel concept is perceived as an evolution of multichannel retailing, which implies a blurring division between the physical and online stores. In the omnichannel environment, customers move freely among physical and online stores expecting seamless shopping experiences between channels. Among different generational consumer groups, Gen Z deserves marketers’ particular attention, which is the new rising segment for omnichannel experiences. The purpose of this chapter is first to verify the essence of generational differences in consumer’s omnichannel buying behavior by giving a special focus on the Gen Z segment. Secondly, this chapter discusses how retailers should integrate their online and offline store channels to provide the best retail brand experience to these distinctive Gen Z consumers.

This chapter offers a preliminary investigation into the impact of the COVID-19 pandemic on consumer purchasing behaviour within the grocery retail industry and supports evidence that since the pandemic began at the end of 2019, there have been changes in the demands and behaviours of consumers (Donthu & Gustafsson, 2020). Previous research has reported that the pandemic resulted in retail consumers spending less and saving more (Jorda, Singh, & Taylor, 2020), as well as panic buying (Nazir, 2021), both of which initially contributed to the limited availability of goods. This preliminary study reports upon survey data collected from retail consumers and answers the question ‘What were the changes in consumer behaviour in the grocery sector as a result of the COVID-19 pandemic?’ Findings reveal that an increase in online shopping occurred more distinctly during the first of the UK’s lockdowns, which waned over time. Findings also reveal a lower shopping frequency, but higher shopping spends during lockdown, and that social distancing and discipline were key drivers of this behaviour change. Findings also reveal an intention to maintain a combination of new and old shopping behaviours and habits after lockdown, giving rise to the continuing importance of meeting consumers’ grocery needs online as well as in-store. This chapter further discusses the implications arising from the reported findings.

Online retailing is continuing to grow at a time with many fashion brands are closing retail stores. Social media is now an essential component within the purchase journey of a fashion consumer. As social media networks continue to develop transactional capabilities, this has giving rise to the expansion of social shopping. Fashion brands need to consider how best to optimise social shopping opportunities as an extension of the retail shopping experience. Reviewing developments within retailing, a conceptual model of social shopping is proposed, which places mobile technologies as central to the social shopping experience both on social media and in store.

Retail marketing is in the midst of an evolution. The paradigm is shifting from a product-centric to a consumer-centric focus, with a particular emphasis on understanding how consumers transition from harboring an interest in a product to actually purchasing that product. In response, shopper marketing, and in-store marketing (ISM) in particular, have emerged as important mechanisms to influence shopper behavior in brick & mortar and online retail environments. The academic literature is replete with work on what factors of ISM influence shopper behavior. In this chapter, we categorize prominent streams of findings on ISM into firm, customer, competitor and product characteristics of ISM and examine how the notion of a “store” is evolving from bricks to clicks – namely from physical formats to online shopping experiences. Insights from this chapter will help retailers and store managers identify what their customers respond to within a physical store, how technology is changing the way they can capture information on customers, and how shopper behavior is evolving in response to brick & mortar and online retail environments.

The concept and practice of e-services has become essential in business transactions. Yet there are still many organizations that have not developed e-services optimally. This is especially relevant in the context of Indonesian Airline companies. Therefore, many airline customers in Indonesia are still in doubt about it, or even do not use it. To fill this gap, this study attempts to develop a model for e-services adoption and empirically examines the factors influencing the airlines customers in Indonesia in using e-services offered by the Indonesian airline companies. Taking six Indonesian airline companies as a case example, the study investigated the antecedents of e-services usage of Indonesian airlines. This study further examined the impacts of motivation on customers in using e-services in the Indonesian context. Another important aim of this study was to investigate how ages, experiences and geographical areas moderate effects of e-services usage.

The study adopts a positivist research paradigm with a two-phase sequential mixed method design involving qualitative and quantitative approaches. An initial research model was first developed based on an extensive literature review, by combining acceptance and use of information technology theories, expectancy theory and the inter-organizational system motivation models. A qualitative field study via semi-structured interviews was then conducted to explore the present state among 15 respondents. The results of the interviews were analysed using content analysis yielding the final model of e-services usage. Eighteen antecedent factors hypotheses and three moderating factors hypotheses and 52-item questionnaire were developed. A focus group discussion of five respondents and a pilot study of 59 respondents resulted in final version of the questionnaire.

In the second phase, the main survey was conducted nationally to collect the research data among Indonesian airline customers who had already used Indonesian airline e-services. A total of 819 valid questionnaires were obtained. The data was then analysed using a partial least square (PLS) based structural equation modelling (SEM) technique to produce the contributions of links in the e-services model (22% of all the variances in e-services usage, 37.8% in intention to use, 46.6% in motivation, 39.2% in outcome expectancy, and 37.7% in effort expectancy). Meanwhile, path coefficients and t-values demonstrated various different influences of antecedent factors towards e-services usage. Additionally, a multi-group analysis based on PLS is employed with mixed results. In the final findings, 14 hypotheses were supported and 7 hypotheses were not supported.

The major findings of this study have confirmed that motivation has the strongest contribution in e-services usage. In addition, motivation affects e-services usage both directly and indirectly through intention-to-use. This study provides contributions to the existing knowledge of e-services models, and practical applications of IT usage. Most importantly, an understanding of antecedents of e-services adoption will provide guidelines for stakeholders in developing better e-services and strategies in order to promote and encourage more customers to use e-services. Finally, the accomplishment of this study can be expanded through possible adaptations in other industries and other geographical contexts.

By the end of this chapter, you should be able to demonstrate an understanding of:

The way in which consumers use mobile devices to engage with fashion retailers online.

What external and internal stimuli can be used to engage with consumers and encourage online interaction?

The lens in with the Stimulus–Organism–Response (SOR) model is applied to understand consumer behaviour.

How marketing can used both to trigger consumption activities and to encourage more sustainable behaviours?