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The purpose of this paper is to compare and contrast two types of shopping aids, that is, research‐supporting and solution‐oriented shopping aids, and examine their effectiveness, considering both consumer and situational factors.

Expanded selection and additional detailed information are chosen to illustrate research‐supporting shopping aids, and personalized product recommendations and product ratings are used as examples of solution‐oriented shopping aids. This conceptual paper proposes that usage of shopping aids has an effect on the purchase likelihood and decision satisfaction and focuses on studying the moderating role of consumer product knowledge and time pressure. The thesis is that congruence between the type of a shopping aid and consumer characteristics, such as product knowledge, or situational characteristics, such as time pressure, should enhance the effectiveness of shopping aids.

The research propositions in this paper delineate how the use of retail shopping aids should affect the consumer's purchase likelihood, decision satisfaction, decision confidence, and evaluation costs, under the moderating influence of product knowledge and time pressure. Overall, knowledgeable consumers and less time‐pressed consumers should benefit from research‐supporting shopping aids (i.e. expanded selection and additional product information), whereas novice consumers and time‐pressed consumers should benefit from solution‐oriented shopping aids (i.e. personalized product recommendation and product ratings).

Retail shopping aids are designed to offer sales assistance for consumers to handle the obstacles to purchase completion. However, past efforts to install retail shopping aids have seen mixed results. This conceptual paper advocates that consideration of consumer characteristics and situational factors is necessary to understand the effects of shopping aid usage. This paper thus contributes to the understanding of solutions to purchase decision deferral and the determinants of decision satisfaction, and has practical implications for retailers regarding providing retail shopping aids to facilitate purchase completion and shopping experiences.

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.

The purpose of the experiment reported here was to examine Internet user concerns and perceptions of online shopping. The attitude of Internet users toward online shopping was measured using the Fishbein model. The relative factors influencing user attitudes toward online shopping and the relationship between the attitude and the influence factors were explored. The results show that the Fishbein model can effectively measure consumer attitudes and the examined consumer characteristics were important influence factors on consumer attitudes and online shopping decisions.

The study aims to examine fast fashion consumers' negative in-store experiences focusing on the effect of the two store environment factors, product overload and store ambiance, on their confusion and consequent shopping avoidance behavior.

A research model of fast fashion consumers' confusion and store avoidance behavior is proposed using the Stimulus–Organism–Response framework. A pretest and the main online survey with 281 samples are analyzed, and the structural equation modeling (SEM) is conducted to test the proposed model.

The SEM results support the proposed paths statistically. Consumers' confusion, measured with the two dimensions, inefficiency and helplessness, is significantly influenced by their perceived product overload and negative perception of store ambiance in the fast fashion shopping environment. Subsequently, fast fashion consumers' confusion results in less time spent in the store.

The study sheds light on utilitarian shopping value in the fast fashion shopping environment by focusing on the fast fashion consumers' confusion in association with overloaded information caused by too many products and store ambiance.

The study implies that improving fast fashion stores' inherent issues with too many products and store ambiance might help consumers mitigate their confusion and prevent customer attrition. However, the study includes only two factors. Future studies may include other various fast fashion store factors. Additionally, one of the dimensions of confusion, irritation, did not emerge in this study. More work is needed to investigate fast fashion consumers' confusion, such as using a multigroup analysis by age.

Webrooming (i.e. searching information online and making the final purchase in a physical store) has become a popular shopping practice, but remains insufficiently studied. To address this, a research framework encompassing online and offline channel attributes (i.e. online review diagnosticity, online search convenience, expected price loss, offline purchase effort and offline after-sales service convenience), consumer traits (i.e. anticipated regret) and shopping experience (i.e. smart-shopping perception) as determinants of webrooming continuance intention is proposed.

The proposed model was validated by conducting a questionnaire-based survey that yielded 354 useable responses. The data was subjected to partial least squares structural equation modelling and importance-performance map analysis.

According to the obtained results, online review diagnosticity, offline after-sales service convenience and anticipated regret are the vital antecedents of webrooming continuance intention, while smart-shopping perception acts as the mediator.

The current study adds significantly to the body of knowledge about webrooming by validating the inter-relationships between online review diagnosticity, after-sales service convenience, anticipated regret, smart-shopping perception and webrooming continuance intention.

Based on the stimulus-organism-response theory, this research constructs the influence of the stimulus factors of the live-streaming shopping environment on consumers' psychological situation. It then produces the research model of impulsive purchase intention.

In this study, the online questionnaire survey method was used to survey users who participated in live-streaming shopping, and a total of 335 valid questionnaires were collected. Then SPSS and SmartPLS were used for data empirical evaluation and hypotheses test.

Research results show that demand, convenience, interactivity, and playfulness are positively stimulating consumers' perceived enjoyment. And their perceived enjoyment directly drives their intention of impulsive purchase.

The choice of the live streaming platform, the design of the interactive interface, and the design of the shopping process are all factors that the streamer must carefully consider. The results of this study can be used as a reference for the development of live-streaming shopping and provide the industry with an understanding of the main factors that affect users' live streaming and impulsive purchases to plan an effective live streaming platform and content.

“E-commerce live streaming” is regarded as the latest trend of e-commerce, and impulse buying is regarded as a key factor in the success of transactions. This research has developed factors that influence impulsive purchases after watching live streaming based on the SOR theory.

The purpose of this paper is to provide a greater understanding of why and how different ages use shopping channels, analysing preferences and motivations for use.

Qualitative in-depth interviews were conducted with a sample of 50 female participants, aged 20-70. All were customers of a fashion retailer that has ecommerce and mcommerce platforms, stores and catalogues, in order to gain a better understanding of loyal consumers’ multi-channel behaviour.

Multi-channel shopping behaviour increased with age; the 20s did not engage in multi-channel shopping behaviour but viewed each channel as a separate entity. Mcommerce is the preferred shopping channel for the 20s, but its popularity and motivations to use decreases with age. Ecommerce is the most popular shopping channel due to convenience, selection, adventure/exploration and idea shopping. The physical store was the preferred channel for the 60+, who shopped there for convenience and enjoyment. Catalogues were seen as out-dated and no longer considered a transactional channel.

There are no previous studies that have investigated channel preferences and motivations across a 50-year age span using loyal customers. The majority of previous studies looking at multi-channel shopping behaviour are quantitative and so this qualitative enquiry provides a richer insight into reasons for consumer preferences and motivations. The study contributes novel findings to the literature as it shows that multi-channel shopping behaviour increases with age, and younger consumers (20s) are not partaking in it at all.

Mobile shopping emerges, but the marketing factors driving consumers’ mobile shopping lack clarification. Literature gaps also exist to view mobile shopping from a consumer behavior’s perspective. The purpose of this paper therefore is to empirically explore the issue based on the lifestyle perspective, 4Ps marketing theory and the information system (IS) success model.

A survey method was adopted. Data were gathered from consumers who had experience in mobile shopping. The collected data were analyzed with PLS to explore the issues.

The results showed that platform use habit, price comparison preference, shopping independence preference and promotion marketing quality were significantly associated with consumers’ use of mobile shopping apps/websites. They also showed that promotion marketing quality, price marketing quality and product marketing quality were the important marketing factors driving consumers’ user satisfaction of mobile shopping apps/websites. Finally, the results also indicated the importance of both consumers’ use and user satisfaction of mobile shopping apps/websites in arousing their continuous use intention.

The results of the study bridge the gap between the 4Ps marketing theory and the IS success model. They provide a direction for further studies to bridge the marketing theories and the IS theories in exploring the development of mobile commerce.

The results facilitate the management of mobile shopping apps/websites in building and keeping a long-term relationship with consumers through providing good marketing qualities in the core marketing mix. The results also indicate the importance of user satisfaction in branding management and relationship management of mobile shopping apps/websites.

The results showed that price comparison preference and shopping independence preference were significantly associated with consumers’ use of mobile shopping apps/websites due to the convenient access empowered by mobility in shopping services. The results also suggest that with good design in 4Ps marketing qualities of mobile shopping apps/websites, including product, price and promotion, mobile shopping could be a suitable lifestyle satisfying consumers. However, the results also showed that factors driving consumers’ system use and user satisfaction of mobile shopping apps/websites were not the same. Finally, the results validated the significant impact of both system use and user satisfaction in activating consumers’ continuance intention of mobile shopping. They provided a positive link between consumers’ mobile shopping apps/websites use to their keeping the lifestyle of mobile shopping.

In this paper, we provide a simple conceptual framework with empirical analysis to investigate the effect of product attributes and e-vendor characteristics that are potentially included in the online shopper’s information search on their online shopping behavior in China.

This paper examines consumers’ online shopping frequency for food/grocery using an ordered logit model and for fresh food (a subcategory of food/grocery) using a two-part model, considering product attributes, e-vendor characteristics, and consumer perceptions and characteristics.

The results show that product origin is an influencing factor in shopping for fresh food online, reflecting consumers’ growing interests in imported food or specialty food from other areas. Consumers are more likely to shop online for fresh food if they perceive online shopping as having a price advantage. But consumers who view price as a top factor are less likely to buy fresh food online frequently. Thus competitive prices might be a motive for online fresh food shopping, but consumers concerned about price do not necessarily shop frequently. Negative perceptions of product freshness reduce consumers’ likelihood and frequency of shopping for fresh food online. Concerns on food quality and e-vendors’ credibility prevent consumers from frequently shopping for fresh food online. Social and demographic characteristics also influence consumers’ decisions.

This paper provides a better understanding of consumer’s online grocery shopping preferences and sheds light on policy and regulation design and implementation in the e-commerce industry, which will ultimately protect and benefit consumers.

The purpose of this paper is to provide a review of the mobile shopping (m-shopping) acceptance literature to bring international marketing and consumer research attention to m-shopping acceptance factors and limitations in current understandings to propose recommendations for further academic and retailing attention.

Keyword searches identified the consumer-focused literature across mobile commerce, m-shopping, mobile browsing and mobile purchasing, published in English language journals. A classification framework is created and a time frame is established to provide a more focused direction for research.

Despite the growing popularity of consumers adopting m-shopping activities and the increasing academic attention, consumer m-shopping utilisation remains low and research into its causes remains in its infancy. This paper has subsequently identified a variety of recommendations for further research, including further insights into perceived risk, user vs non-user behaviours, the multi-stage shopping process, incorporation of time considerations and theoretical development.

There has yet been a review of the m-shopping literature collaborating literary findings and limitations in the consumer m-shopping environment. Three major themes arise in this paper. First, there are a variety of factors affecting consumer willingness to accept m-shopping which are often incorporated in existing theory in a sporadic manner. Second, factors can create positive and/or negative consumer perceptions, requiring further insight. Finally, research limitations predominantly surround theoretical and methodological constraints, prompting for wider geographical and more longitudinal approaches to research.