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Describes the uses and advantages of perceptual mapping, a consumer‐based modelling technique having both diagnostic and strategic applications, particularly in determining the threat posed by substitute products and in developing competitive strategies. Uses a case study approach of analysing companies in traditional manufacturing industries who are attempting to move from basic commodities to faster growing “value‐added” products. Concludes that perceptual maps are effective in developing new products and product positioning and can be easily used by managers in developing actions.

Perceptual maps and trees are widely used for business applications like advertising development, product design and product positioning. Maps and trees are however intrinsically different in terms of how well they can represent consumer perceptions of product‐market structure. Draws on recent advances in the academic literature to evaluate the relative strengths and weaknesses of maps and trees. This theoretical evaluation is used to develop a grid‐based framework which is then used to provide guidelines to managers about what kind of visual representation to use, and what type of input data to collect, for some different real‐life marketing tasks. This conceptual framework is also used to indicate directions for future academic research in the area of visual representation models.

Product positioning is a crucial component of competitive marketing strategy. Perceptual mapping techniques are frequently used to aid managers in making product positioning decisions. Presents an overview of perceptual mapping, explains the conceptual foundation, and compares three widely used techniques – factor analysis, discriminant analysis, and multidimensional scaling. Highlights differences in these analytical techniques, with implications for marketing managers.

While marketers want to drive higher repurchases for better business sustainability, repeat shopping experiences may change customer perceptions of the online channel, resulting in the emergence of new segment typologies. Therefore, the purpose of this paper is to explore the segmentation of online clothing shoppers using a repeat online clothing shopper base. Further, it analyses segment positions in a perceptual space to derive relevant positioning insights for the various segments.

Segmentation is done using dual bases of e-lifestyle and website quality factors for which the scales are derived from literature and then adapted and validated using a two-phase process across two samples of 271 and 644 experienced shoppers, respectively, in India. Positions of the segments are explored using the discriminant analysis-based perceptual mapping technique.

Three segments are found, namely disengaged averse online shoppers, interactive convenience seekers and adept online shopping optimists with the latter two having a higher propensity to purchase clothes online. Perceptual mapping of the segment positions reveals dimensions, which can be used for appropriate positioning.

The research methodology may be replicated for other products and country contexts, and additional factors may be explored for further insights.

The study reveals insights on the evolving nature of segments as shoppers gain experience of online shopping for clothes and highlights the varied reasons for the growing acceptability of the online channel. The findings reveal key targeting and positioning strategies for e-marketers.

This is one of the first studies of its kind in India, which explores the segmentation of repeat online clothing shoppers in India using dual bases. Another distinctive feature of the study is its use of the perceptual mapping technique to draw inferences about factors that differentiate multi-segment buying behavior.

Drawing from the Personal Construct Theory, this study aims to analyze the impact of using gamified apps on user behavior by investigating the service-related images and individual preferences of Generation Z (GenZ) consumers, as these emerge from gamified applications in a tourism context.

The repertory grid analysis (RGA) elicited the top elements that reflect GenZer perceptions in tourism from empirical studies in the UK and Greece. Generalized procrustes analysis was used to investigate the structure of the data for the creation of representative consensus biplots of the most important conceptual constructs to advance consumer decision-making modeling via gamification.

As per different gamified app best-practices considered, the authors extract not only common perceptual elements (e.g. place informative aspects, exploration, lodgings, food/catering) but also different image components (e.g. virtual/interactive, business vs commercial traveling, entertainment, heritage/cultural informative aspects) from comparing UK with Greek GenZers’ responses. These extracted attributes are then presented in two dimensional charts, respectively, toward creating tourist perception scales.

Notwithstanding the wide availability of gamified apps, research on gamification design in tourism and hospitality is still in the early phase. This study demonstrates the need to identify and optimize the formation of different images among GenZers. It also highlights the advantageous nature of the proposed combination of procrustes analysis with the RGA.

To the best of the authors’ knowledge, this research is among the first empirical ones toward creating scales for measuring tourist perceptions of GenZers coming from different consumer markets. It responds to scholars’ recent calls for better informing gamification design and improving contemporary consumer experience.

This article reviews the quantitative marketing literature on artificial intelligence (AI) through an economics lens. We apply the framework in Prediction Machines: The Simple Economics of Artificial Intelligence to systematically categorize 96 research papers on AI in marketing academia into five levels of impact, which are prediction, decision, tool, strategy, and society. For each paper, we further identify each individual component of a task, the research question, the AI model used, and the broad decision type. Overall, we find there are fewer marketing papers focusing on strategy and society, and accordingly, we discuss future research opportunities in those areas.

The purpose of the paper is to systematically review and summarize the literature addressing various sources of online brand equity. The evolution of social media, online forums and virtual communities drive the diversity in nomenclature of online marketing variables. Different researchers have used different marketing variables to indicate the same source of online brand equity. The definitions of the marketing variables change with the change in context, due to the complex e-commerce environment. The marketing variables used in different studies have lead to a conceptual overlap and repetitiveness.

This confusion is sought to be classified by the proposed classificatory scheme that used content analysis of 42 previous studies. The definitions of the antecedents of sources of the online brand equity used by the authors are analyzed with the help of content analysis to summarize the marketing variables in a meaningful way.

The paper identifies 15 major marketing variables by authors in their studies related to various sources of online brand equity. The final list contains 13 frequently used variables which also comprises variables which are evolving due to the dynamic e-commerce environment like the feeling of “virtual-real”.

The variables identified can be used by the businesses as a check list to their marketing activities.

This is the first paper which identifies and clarifies the ambiguity present in the application of the various online marketing variables.

Reviews hospitality research relating to the themes of business development and service improvement. Relates this to five sub‐theme areas: market sensitivity and competitiveness; segmentation; branding and service customization; service quality and customer retention; product design and internal marketing.

“This case is an updated version of ““Netflix Inc.: DVD Wars”” (UVA-M-0763), and was written as a replacement for it.

A financial analyst is asked to appraise the value of Netflix's stock at a time of unprecedented turmoil for the company. This case introduces customer lifetime value (CLV) as a useful metric for subscription-based businesses.”