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The purpose of this paper is to show that high similarity between a parent brand and an extension category can have a detrimental effect on how a brand extension is perceived to perform on specific attributes. This happens because similarity influences the perceived positioning of a brand extension: lower similarity extensions can be perceived as “specialized” products, whereas high similarity extensions are perceived as “all-in-one” products not performing exceptionally well on any specific attribute.

The authors test the hypothesized effect through three experimental studies. The authors manipulate similarity both within subjects (Study 1a) and between subjects (Study 1b and Study 2). Further, the authors test the effect for specific attributes that are physical/concrete in nature (Study 1a and Study 1b) as well as attributes that are abstract/imagery-related in nature (Study 2).

High compared to low similarity improves perceptions of overall performance (i.e. performance across all attributes). But as expected, the authors also find that a high similarity brand extension is perceived to perform worse on the attribute on which a low similarity brand extension specializes, even when the parent brands of the extensions possess that attribute to the same extent. This perception of attribute performance carries on to influence brand extension purchase likelihood.

The degree of brand extension similarity has consequences for how brand extensions are perceived to be positioned in the marketplace. Although high similarity extensions receive positive evaluations, they might not be suitable when a company is trying to instil a perception of exceptional performance on a specific attribute.

The authors demonstrate a consequential exception to the marketing wisdom that brands should extend to similar categories. Although the degree of brand extension similarity has been repeatedly shown to have a positive effect on brand extension evaluation, the authors document a case when its effect is actually detrimental. This study’s focus on the dependent variable of perceived performance on specific attributes is novel in the brand extension literature.

Brand managers can choose among two fundamentally different brand positioning strategies. One is a broad brand strategy, focusing on many favorable brand associations. The other is a narrow brand strategy, focusing on just a few and thus more mentally accessible associations. Building on associative memory theory, this paper aims to examine which of these brand positioning strategies performs better under dynamic market conditions.

Three experiments test the effect of brand positioning strategy on memory accessibility and competitive brand performance. Study 1 tests how brand strategy (broad vs narrow) affects defensive brand performance. Study 2 tests how broad vs narrow brands perform differently in a brand extension scenario (offensive brand performance). Study 3 uses real brands and situation-based attributes as stimuli in a defensive scenario.

The results show that a narrow brand positioning strategy leads to a competitive advantage. Narrow brands with fewer and more accessible associations resist new competitors more easily and have higher brand extension acceptance than do broad brands.

The study shows how to use accessibility as evidence of associative strength and test how accessibility influences competitive brand performance in a controlled experimental context.

Brand managers would benefit from a narrow brand positioning strategy in accordance with the unique selling proposition (USP) school of thought used by many marketing practitioners.

The paper demonstrates that narrow brand positioning performs better than broad brand positioning in dynamic markets, and to the knowledge is the first to do so.

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.

Augmented reality (AR) has emerged as a new interactive technology, swiftly transforming the field of marketing. Driven by its rapid uptake in marketing practices, academic research on AR has proliferated. This study aims to offer a holistic view of the past, present and future of augmented reality marketing (ARM) scholarship by analyzing its current and evolving research profile as well as its social and conceptual structures to inspire further research.

This study enriches the ARM scholarship by integrating a quantitative bibliometric analysis with a chronological-thematic review and a qualitative content analysis to develop a more comprehensive understanding of this novel area and suggest future research courses.

The bibliometric analysis reveals the key performance indicators as well as the social and conceptual structure of the ARM research field. The chronological-thematic review exhibits the advancement of ARM research over time and forecasts the emerging trends for the domain. Finally, the content analysis of recent articles reveals the current research hotspots and provides future research directions.

The database limits the selection of literature, as the information in databases such as Scopus is updated regularly, resulting in alterations in the number of articles and citations.

AR developers and brand managers may use this study’s findings to understand the current ARM landscape better and make strategic decisions based on AR adoption and consumption patterns.

This study is singular in using a mixed methods approach by integrating the findings from bibliometric and content analyses for more reliable results and to offer a holistic perspective of the ARM sector, thereby significantly advancing the field of technology-led marketing.

This paper aims to study the role of self-concept in consumer relationships with anthropomorphised conversational artificially intelligent (AI) agents. First, the authors investigate how the self-congruence between consumer self-concept and AI and the integration of the conversational AI agent into consumer self-concept might influence such relationships. Second, the authors examine whether these links with self-concept have implications for mental well-being.

This study conducted in-depth interviews with 20 consumers who regularly use popular conversational AI agents for functional or emotional tasks. Based on a thematic analysis and an ideal-type analysis, this study derived a taxonomy of consumer–AI relationships, with self-congruence and self–AI integration as the two axes.

The findings unveil four different relationships that consumers forge with their conversational AI agents, which differ in self-congruence and self–AI integration. Both dimensions are prominent in replacement and committed relationships, where consumers rely on conversational AI agents for companionship and emotional tasks such as personal growth or as a means for overcoming past traumas. These two relationships carry well-being risks in terms of changing expectations that consumers seek to fulfil in human-to-human relationships. Conversely, in the functional relationship, the conversational AI agents are viewed as an important part of one’s professional performance; however, consumers maintain a low sense of self-congruence and distinguish themselves from the agent, also because of the fear of losing their sense of uniqueness and autonomy. Consumers in aspiring relationships rely on their agents for companionship to remedy social exclusion and loneliness, but feel this is prevented because of the agents’ technical limitations.

Although this study provides insights into the dynamics of consumer relationships with conversational AI agents, it comes with limitations. The sample of this study included users of conversational AI agents such as Siri, Google Assistant and Replika. However, future studies should also investigate other agents, such as ChatGPT. Moreover, the self-related processes studied here could be compared across public and private contexts. There is also a need to examine such complex relationships with longitudinal studies. Moreover, future research should explore how consumers’ self-concept could be negatively affected if the support provided by AI is withdrawn. Finally, this study reveals that in some cases, consumers are changing their expectations related to human-to-human relationships based on their interactions with conversational AI agents.

This study enables practitioners to identify specific anthropomorphic cues that can support the development of different types of consumer–AI relationships and to consider their consequences across a range of well-being aspects.

This research equips marketing scholars with a novel understanding of the role of self-concept in the relationships that consumers forge with popular conversational AI agents and the associated well-being implications.

Pricing is always a fundamental marketing element. In the digital marketing/e-commerce context, there are two universal phenomena: desire to micro-segment and customize, and the adverse reaction upon unfair perception of price. A third related question is how should firms consider price increases and decreases? Specifically, this paper aims to address the following three research and practice questions: What are the theoretical underpinnings of perception of fairness/unfairness in pricing, and what are the findings? What are the theoretical underpinnings of response to price increases and decreases? What should be online pricing strategy, consistent with the findings on (un)fairness perception of pricing and response to price increases and decreases?

The present approach is integrative review and critical analyses, and synthesis. The review dates back to 1960s, and is inter-disciplinary, including apposite findings in behavioral science, economics, marketing and operations management/research. The authors search for insights with significant empirical support to address these questions.

Perception of unfair price impacts consumer choice, probability of purchase, intent to buy and attitude to product/service/firm adversely. Consumers react differently to perceived unfair and fair prices. Consumers react more strongly and negatively to perceived unfair prices (compared to prices perceived to be fair) in their intent to buy and other related metrics. Consumers react differently to price increases and price decreases relative to the reference price. Consumers react more strongly to price increases than to price decreases. There is substantial heterogeneity in the magnitude of loss-aversion effect, depending on the product/service category and estimation methods.

The authors review and discuss potential viable pricing strategies. Based on the generalizable findings, this study provides actionable insights to managers for pricing in digital marketing context. Also, the authors provide useful directions for future research.

The paper aims to determine the effectiveness of specific online advertisements, comparing banner ads that are brand‐reinforcing versus ones that are product‐reinforcing.

The research uses three experimental design studies to empirically test the hypotheses based on the elaboration likelihood model (ELM) by manipulating type of online banner advertisement (brand‐type versus product‐type) and measuring individual need for cognition (NFC).

Consumers high in NFC recall product‐type banner ads more readily than those low in NFC, while brand‐type banner ads are more likely to be recalled by low‐NFC consumers. However, high‐NFC consumers recall brand‐type ads under all situational influences tested. And while consumers low in NFC recall product‐type banner ads featuring a directive better than their high‐NFC counterparts, they do not recall directive ads at a greater rate than high‐NFC consumers recall brand‐type ads.

While previous research has found that variations in ad size, color, interactivity, and web site location affect recall, this research only measured static banner ads that appear at the top of the page. However, because it is the first to examine involvement in terms of NFC in combination with brand‐ and product‐type ads, the research sheds new light on consumer awareness of two types of banner ad strategies adopted by marketing managers today.

In an online context, the type of banner ads used by marketing managers should be paired with the web site based on how much time consumers spend at the site and how many pages they click through at the site. All things being equal, however, managers should favor brand‐type banner ads over product‐type banner ads.

The research extends understanding of ELM as it relates to type of banner ad while establishing a potential research stream for better understanding of how consumers process various types of online ads. At the same time, it provides new evidence that can help marketing managers make better strategic decisions regarding their online marketing mix.

The purpose of this study is to test the viability of comparative advertising in Chile.

Data were collected via controlled experimentation. The study employed a 3 (comparative advertising intensity: noncomparative, indirect comparative, and direct comparative)×2 (product category involvement: low, high)×2 (sponsor brand's relative market share: market leader, other brand) between‐subjects factorial design.

The results suggest that direct and indirect comparative advertisements are not more effective than noncomparative advertisements in Chile. Additionally, data do not support the idea that the effect of comparative advertising intensity is moderated by the product category involvement and/or by the sponsor brand's relative market share. Since comparative advertising was not shown to be more effective than noncomparative advertising, the authors hypothesize that it is due to cultural biases and the novelty of comparative advertising in Latin America, as expressed through negative message believability.

While experimental research is not sufficient to establish the generalized non‐superiority of comparative advertising in the region, the results support the idea that comparative advertising might not be more effective than noncomparative advertising for many marketing campaigns in Latin America.

Several recent studies have investigated international differences in advertising practices. Most of these address advertising in general, leaving the transferability of comparative advertising practices largely unexplored (White Nye et al.). Analyzing the case of Latin America is highly relevant due to the limited development that exists with respect to comparative advertising in the region.

This study was carried out to identify mall image dimensions, analyse and discuss how shopping well-being is influenced by mall image and impacts on mall loyalty with the moderating role of gender differences. Besides, the relationship between hedonic value (HV) and utilitarian value (UV) on shopping well-being are investigated. The paper aims to discuss these issues.

Through a questionnaire, data were obtained from shoppers at the biggest and the most remarkable malls in Tehran that has a high level of brand awareness. A two-stage method of structural equation modelling was used for testing the hypotheses.

The results show that shopping well-being is affected by mall image and HV but not by UV. In addition, as indicated in previous researches, this study supports the idea that shopping well-being influences mall loyalty. In other words, it is argued that shopping well-being is more about pleasure and fun than doing task-oriented activities.

Most of the mall image dimensions overlapped each other, therefore the purpose of this research is to choose and introduce the best and the most comprehensive combination of those dimensions. Also, in spite of the recent emergence of the shopping well-being concept, it has proved to be delicate in the Iranian context through value, consumer well-being, consumption experiences and sociological life space theories in the quantitative method. In addition, this study shows that shopping well-being is a subjective well-being. This is in contrast to what the common Islamic philosophers opine. Additionally, not only did it propose how to make shoppers more loyal through shopping well-being, but it also discussed the role of gender difference on the subject of shopper loyalty phenomenon. More importantly, this study enables other researchers to investigate cultural differences in this region and make it possible to compare Middle Eastern Countries, especially Iran, to other countries.