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As traditional paper manuals and step-by-step instructions have shown to discourage new product learning because of a lack of exploration, the purpose of this paper is to investigate consumer learning from an online and andragogical, that is, adult learning, perspective by identifying relevant consumer e-learning processes in new product learning.

This paper uses thematic and trace analyses on a multi-method data collection, that is, extant e-learning courses, in-depth interviews and non-participant observations.

Emerging findings give light on customized, interactive and iterative e-learning processes depending on consumers’ previous experiences, their learning orientation as adult learners and the characteristics of the online environment. Results provide evidence for the existence of three learning strategies and show how the online environment comes shifting traditional consumer learning paradigms.

This paper contributes to the literature on consumer behavior on two levels. First, the findings highlight the importance of taking an andragogical standpoint to provide a more nuanced and realistic view on consumers’ learning processes in new product learning. Second, the results show how the exploration and interactivity provided by the online environment present beneficial prerequisites for effective consumer learning. More than just being an alternative, online learning is complementary to offline modes of learning to improve consumers’ overall learning experience.

To investigate the psychological mechanism of observational learning in the online retailing context, the purpose of this paper is to show how the psychological distance between consumers and products affects modes of observational learning.

Five experimental studies are conducted to test the hypotheses.

The findings show that which modes of observational learning are adopted by consumers is affected by consumers’ psychological distance. Specifically, when the psychological distance between consumers and products is proximal, consumers tend to adopt the termed adequate observational learning mode by considering the interaction of information about popularity and the breadth of appeal of a product to make purchase. However, when the psychological distance is distal, consumers would consider information of popularity and breadth of appeal separately without considering the interaction, termed as inadequate observational learning mode. The observed relationship between psychological distance and observational learning mode could be explained by the construal level.

This research advances the observational learning and psychological distance literature by investigating the psychological mechanism behind observational learning modes. Limitations include the use of scenario-based experiments to test the hypotheses, investigation of a single product attribute (i.e. breadth of appeal) and assessment of popularity information by sales volume alone.

The current research provides a deeper understanding of consumer observational learning modes, which can help online retailers to develop effective product strategies and marketing tactics and, finally, achieve stronger competitive positions.

The present research contributes to the literature by examining the psychological mechanism involved in observational learning. This research distinguishes adequate and inadequate observational learning modes from the perspective of psychological distance.

Voice assistant technology represents one of the most radical artificial intelligence innovations. Drawing on the processing fluency theory and consumer learning literature, this study aims to explore how consumer acceptance of new products is influenced by voice assistant function (VAF), along with the impacts of role clarity and learning modality.

Four between-subjects experimental studies were conducted. Study 1 tested the main effect of VAF on consumer acceptance. Study 2 included role clarity as a mediator between VAF and consumer acceptance. Study 3 examined the moderation effect of learning modality and contrasted the effectiveness of experiential and verbal learning in helping increase consumer acceptance. Study 4, as a post hoc study, tested serial mediations to validate whether processing fluency was indeed the mechanism explaining the indirect relationship between VAF and consumer acceptance via role clarity.

The negative impact of VAF on consumer acceptance was demonstrated in all four studies. Studies 2 and 3 showed VAF decreased role clarity which further influenced consumer acceptance. Moreover, Study 3 evidenced that experiential learning was more effective than verbal learning in increasing consumer acceptance of voice-assisted products via role clarity. Study 4 demonstrated that VAF decreased role clarity, which in turn decreased processing fluency, leading to lower consumer acceptance.

This research views the usage of voice-assisted products as a coproduction process between consumers and the VAF. Accordingly, findings provide novel insights into processing fluency of tasks assisted by VAF through the lens of role clarity and learning modality, which enriches the understanding of potential barriers and opportunities for consumers to accept voice-assisted products.

Social media marketers are keen to understand how viewers perceive their brands on a platform and how the learning experiences from content can impact their attitudes toward a brand. This study aims to focus on examining the effect of firm-generated content (FGC) on X (formerly known as Twitter), using Kolb’s experiential learning theory to analyze the viewers’ learning process. In addition, the study investigates how the length of time a viewer follows a brand and the type of brand can influence their attitudes toward it.

This study involved three qualitative studies on X to investigate how content learning affects consumer attitudes toward two brands, namely, Nike and Subway. The study also examined the impact of the duration of following the brands, with participants following the brands for 4, 8 and 12 weeks, respectively, to assess changes in their attitudes.

The results demonstrate that content learning significantly impacts consumer attitudes. By following brands and engaging with their FGC over time, viewers can transition from being occasional or intermittent followers to becoming devoted brand enthusiasts. Through the four-stage experiential learning process, followers undergo cognitive, emotional and behavioral transformations that collectively shape their brand attitudes. The impact of content learning varies according to the brand type, and the duration of following has a positive effect on brand attitudes.

The study’s findings have significant marketing implications for social media marketers, suggesting that they should restructure their social media platforms as learning platforms to effectively engage followers. Companies should adjust their content marketing strategies from a learner’s perspective, providing followers with content that resonates with them, enhances their learning outcomes and helps shift their beliefs and brand attitudes, ultimately converting them into loyal consumers.

To the best of the author’s knowledge, this qualitative research is the first of its kind to apply experiential learning theories to investigate how users learn from FGC by following brands on social media and how this learning ultimately changes their brand attitude. The study provides a unique perspective on social media marketing, enriching the understanding of content marketing and consumer experiences on social media platforms.

Methodological pluralism in consumer research is usually confined to post‐positivist interpretive approaches. Argues, however, that a positivistic stance, radical behaviourism, can enrich epistemological debate among researchers with the recognition of radical behaviourism′s ultimate reliance on interpretation as well as science. Although radical behaviourist explanation was initially founded on Machian positivism, its account of complex social behaviours such as purchase and consumption is necessarily interpretive, inviting comparison with the hermeneutical approaches currently emerging in consumer research. Radical behaviourist interpretation attributes meaning to behaviour by identifying its environmental determinants, especially the learning history of the individual in relation to the consequences similar prior behaviour has effected. The nature of such interpretation is demonstrated for purchase and consumption responses by means of a critique of radical behaviourism as applied to complex human activity. In the process, develops and applies a framework for radical behaviourist interpretation of purchase and consumption to four operant equifinality classes of consumer behaviour: accomplishment, pleasure, accumulation and maintenance. Some epistemological implications of this framework, the behavioural perspective model (BPM) of purchase and consumption, are discussed in the context of the relativity and incommensurability of research paradigms. Finally, evaluates the interpretive approach, particularly in terms of its relevance to the nature and understanding of managerial marketing.

Extant consumer behavior research has alluded to consumer learning; however, little research exists regarding situated learning and its relation to coping with respect to stressful consumption experiences. The purpose of this research is to study situated or in situ learning in two cultural contexts – that of the USA and China.

Online data were collected from non-students in both the USA and China, and structural equations modeling was used to analyze data.

Results demonstrated that situated learning helped cope better with stressful episodes for both cultures. Psychological closeness to the problem mediated the relationship between the antecedents and situated learning for US consumers more than for Chinese consumers.

Since US consumers tend to be psychologically close to the stressor during the consumption process, firms should preemptively inform and educate them about potential stressors to help them learn and cope. However, as Chinese consumers tend not to be psychologically close to the problem, they need to be dealt differently.

This research provides a holistic view of situated learning and coping as a process involving consumers, firms and situations and examines their underlying factors in stressful consumption encounters. It establishes the mediating role of psychological closeness between antecedents and consumers’ situated learning and explores the differences of psychological closeness in two different cultures, that of the USA and China.

This study examined the reciprocal influence of demand learning and preference matching in the context of store brand customization. The demand-learning effect refers to the collection of market demand information through production, based on pre-order demands, enabling retailers to accurately predict and allocate product quantities, thus improving inventory management. The preference-matching effect involves engaging consumers in the production and design processes of store brands to align fully with their preferences, thereby increasing the purchase impact of store brand products and promoting consumption.

We employ game-theoretic models to analyze a two-echelon supply chain consisting of a manufacturer and a retailer. The retailer offers both national brands, manufactured by the supplier and in-house store brands. To enhance their competitive edge, the retailer can adopt a customized strategy targeting the store brand to attract a wider consumer base.

The analysis reveals that, under low commission fees, the manufacturer consistently opts for high production quantities, irrespective of the level of demand uncertainty. However, when the perceived value of a store brand is low and demand uncertainty is either low or high, the retailer should choose a minimal or zero production quantity. The decision-making process is influenced by the customization process, wherein the effects of demand learning and preference matching occasionally mutually reinforce each other. Specifically, when the perceived value of a store brand is low, or the product cost is high, along with high customization costs, the interplay between demand learning and preference matching becomes mutually inhibiting. Consequently, the significance of store brand customization diminishes.

This study enhances the current body of knowledge by providing a deeper understanding of the theoretical value of store brand customization. In addition, it offers valuable decision-making support to enterprises by assisting them in selecting appropriate inventory and customization strategies.

The purpose of this paper is to investigate the value of information in consumer safety complaints for organizational learning.

Empirical analysis of this study uses a novel secondary data set, which is formed by combining complaints data filed with the National Highway Traffic Safety Administration (NHTSA) for potential safety defects, and design change information from 2003 to 2011 model-year vehicles in the USA.

First, the paper demonstrates the value of information embedded in complaints. Second, in the case of radical product redesigns, owing to the lack of direct applicability of consumer feedback based learning, the impact of learning on product safety is found to be muted, third, the results suggest that the safety complaint rates vary by vehicle classes/categories and, fourth, the findings differ from prior research conclusions on vehicle quality. Prior research finds the debuting car models have the lowest repair rates among all car models produced in a given year, but the current study finds the debuting models to have the highest rates of safety complaints.

Quality management literature rarely examines the safety complaints data (which, unlike other consumer feedbacks, focuses exclusively on the safety hazards due to flaws that result in accidents). This paper fills the gap in literature by linking safety complaints with future product quality and organizational learning.

This paper aims to identify the effects of social learning and network externalities by conditioning on product quality and early sales momentum. This approach is demonstrated using film sales data.

This study used econometric modeling approach.

It was found that both social learning and network externalities have significant and comparable impacts on film choice. We show that the relative effects of network externalities and social learning in the film market are robust to different momentum and quality definitions and to alternative estimation methods.

Scholars have long argued that social learning plays a key role in new product diffusion. In some product categories, consumer choice may also be influenced by network externalities, meaning that purchasing popular products may provide the consumer utility above and beyond that derived from product usage directly. We propose a novel identification approach to help quantify the relative magnitude of these two effects on new product sales.