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We study how price dispersion varies with product characteristics at a popular online price comparison site – Shopper.com. Our primary finding suggests that price dispersion in online markets varies with product characteristics and firm behavior. We also find evidence that the level of dispersion varies with the percent of firms listing price information in multiple categories. When the percent of firms listing prices in multiple categories is relatively high (low), price dispersion is low (high).

The purpose of this paper is to examine the influence of environmental concern, perceived consumer effectiveness (PCE), green self-identity and social influence on Danish Generation Z consumers’ green purchase intention across three product categories: food, clothing and mobile phones.

Data were collected through convenience sampling, asking undergraduate students in a quantitative data analysis class at the University of Southern Denmark to share a link to the online survey via mail and through their social media platforms. This study includes 287 usable cases. Structural equation modeling (AMOS) was used to test the suggested relationships.

The results show that environmental concern, PCE, green self-identity and social influence positively relate to Danish Generation Z consumers’ green purchase intentions. However, results also suggest that the influence of the different factors varies across product categories.

The results show that marketers must refine their understanding of what guides green consumption, as the factors leading to green purchase intention vary across product categories. Therefore, practitioners need a deeper understanding of their specific category. The results offer insight into food, clothing and mobile phones.

To the best of the authors’ knowledge, this is one of the first studies investigating the antecedents to green purchase intentions across product categories.

This paper aims to analyze variations in the parameters of the market share–rank power law across consumer packaged goods (CPG) categories.

The authors use a two-level hierarchical linear model to examine the relationships between category-level variables and the parameters of the market share–rank power law in 790 CPG categories.

The slope of the market share–rank power law is shallower – indicating more equal market shares – in categories of high importance to retailers and those with high levels of promotional activity or high-volume purchases. Higher levels of market share inequality are associated with categories with high overall prices.

To the best of the authors’ knowledge, this is the first research to show the systematic influence of category characteristics on the relationship between brands’ market shares and their ranks, thus, identifying a key moderator for this important empirical generalization in marketing.

While market leadership may be a desirable goal for many brands, the corresponding market share at the top brand does vary. Moreover, the share premium for being number one in the category (gap between the top and other highly ranked brands) can be greatly affected by retailers’ strategies. In addition, the slope of the power law has desirable qualities as a measure of market concentration. However, the empirical study shows that category characteristics must be considered when analyzing differences in concentration across categories or time.

While other studies document variations in the market share–rank power law relationship, to the best of the authors’ knowledge, this is the first that models these variations as a function of observable category characteristics. The comprehensive nature of the data demonstrates the universality of the market share–rank power law relationship across CPG categories in the USA.

This study aims to analyze the export competitiveness of Bangladesh's apparel industry by identifying the specific product categories that help sustain its export comparative advantage.

Compound annual growth rate (CAGR) and market share (MS) are calculated between 2011 and 2020 at the two- and four-digit level apparel product categories within the harmonized system (HS) to analyze the industry’s growth and export dominance. Trade competitiveness (TC) at the four-digit level, revealed comparative advantage (RCA) and normalized revealed comparative advantage (NRCA) at the two-, four- and six-digit-level apparel product categories are computed for the same 10-year period to investigate the industry’s export competitiveness. Major export destinations of the top 5 exporting product categories are identified to understand the factors facilitating the industry’s growth. A non-parametric Spearman rank correlation analysis evaluated the association between the RCA and NRCA indices.

Among the 34 product categories at the four-digit level, 29 consistently demonstrated an export comparative advantage, as did 34 out of 217 six-digit level sub-categories. In contrast, 12 sub-categories at the six-digit level consistently exhibited a comparative disadvantage in Bangladesh's export competitiveness. Furthermore, the TC measure identified 28 categories at the four-digit level with a robust comparative advantage. 30 categories displayed a positive CAGR, and Bangladesh asserted significant market dominance over 26 product categories at the four-digit level.

This study's implications are significant for various stakeholders in Bangladesh and other apparel-exporting industries, encompassing government entities, industry officials, policymakers, investors, researchers and students. Nevertheless, limitations arise from the study's reliance on RCA and NRCA as competitiveness indicators, particularly its adoption of a macro-level approach for measurement without exploring a micro-level perspective. This constitutes a notable constraint in the study's analytical framework.

This study contributed novelty and enrichment to the existing academic literature by identifying distinct apparel product categories that contribute to the industry's growth.

This study examines how the visual cues (i.e. positioning in cobranding advertising) influence the luxury evaluation.

Through four experiments in different contexts, this study investigates the effects of the positioning of two brands in cobranding on luxury evaluation, the moderating role of product category and the mediating role of benefit understanding.

This study finds that the positioning of two brands in cobranding affects luxury evaluation. Specifically, vertical positioning benefits consumers’ attitude toward luxury compared with horizontal positioning. Results also elucidate that such an effect depends on the product category; that is, the effect of positioning on luxury only exists when the cobranded product belongs to the core (vs non-core) category of luxury. The benefit understanding explains the effects of the positioning and product category on the luxury attitude.

This study contributes to the literature on luxury and cobranding by exploring the visual cues at the marketing communication level influencing the evaluation of luxury brands.

The findings provide important managerial guidelines for enhancing luxury cobranding effectiveness.

This study proposes positioning in cobranding advertisements as one of the antecedents affecting luxury cobranding evaluation. Accordingly, this study adopts a new perspective on visual perception, based on conceptual metaphor theory, which advances the theoretical and empirical knowledge of luxury cobranding.

EigenFactor service went through some changes in 2011 before issuing the most current edition (EF‐2010) following the release of the 2010 edition of the Journal Citation Reports (JCR‐2010) in mid‐2011. Ranking journals by the EigenFactor Score (EFS) and the Article Influence Score (AIS) offered an additional pair of bibliometric indicators to assess the impact of journals in the (sub)disciplinary fields of the sciences and social sciences. In evaluating the clout, importance, and impact of journals it is essential to compare apples to apples, i.e. limiting the assessments to journals belonging to the same (sub)disciplinary areas. This paper aims to examine the quality of the subject categories created for EF‐2010 and of the JCR‐2010 subject categories as implemented within the EigenFactor services.

The paper compares the adequacy of the subject categories in the JCR‐2010 and EF‐2010, examining the assignment of 77 information and library science journals and 50 business/marketing journals to the 64 subject categories used in EF‐2010.

The study finds that EF‐2010 uses a very broad categorisation system of merely 64 subject categories along with the much more specific subject categories originally developed and enhanced for the JCR database of the Institute for Scientific Information (now Thomson‐Reuters). JCR‐2010 has four times as many categories than the former, and would offer a far more realistic comparison of the impact of comparable journals in EF‐2010 if the developers of the EigenFactor database had retained the assignment of the journals to the JCR subject categories. The inconsistency, inaccuracy and incompleteness of the journal classification practice in EF‐2010 creates a highly distorted picture of the standing of journals in their (sub)disciplinary leagues, and makes it very difficult for the users to reproduce the far more refined league lists of journals.

The paper describes the most serious limitations and errors in the classification of journals in the EF‐2010 edition.

Discusses the research opportunities brought about by the adoption of category management in the food industry and suggests reasons why category management might be of interest to academics. Reviews contemporary research and proposes a multidisciplinary research agenda which crosses the academic‐industrial interface. Suggests four principal research themes: beneficiaries and benefits of category management; the process of organizational change; the management of categories; and the implications of category management adoption. Discusses these themes in the context of research already undertaken and details areas meriting closer investigation.

Within a competitiveness perspective, the main purpose of this paper is to investigate and analyze franchise categories and changing profiles and trends of the franchising industry.

Based on data from The Franchising Handbook, the study investigates 1,464 franchisors in 67 franchise categories that encompass 445,314 franchisees. The work uses content analysis in the investigation of franchise categories.

The study finds that franchise categories tend to be diverse regarding their category issues, franchising fees, capital requirements, and category franchisees. The work also provides meaningful implications and future research directions.

The author believes that fast‐growing mid‐sized and newly formed franchisors may need to be included in the survey from the USA and other countries. The study's implications are that the franchising industry requires new business models regarding franchising fees, capital, and sales that are critical in maintaining companies' competitiveness.

Franchisors should pay attention to those fast‐growing franchise categories that may become available in the coming years.

Within the areas of changing franchising and franchise categories, this work provides useful findings for researchers as well as practitioners.

A survey was mailed to the deans of AACSB accredited schools and 50 per cent of the non‐accredited AACSB affiliates, to determine their perceptions of how the changes in accreditation criteria might affect their curricula and what methods might be used to make these changes. The sample was classified according to the Porter‐McKibbin categories and significant differences were found among these categories for perceived ease of accreditation; changes in programme quality; resource allocation changes; use of mission statements in decision making; curriculum component emphasis, and curriculum evaluation methods. While the overall amount of change expected in the next five years seems modest, the nature of the changes expected could have significant effects on the curricula of US business schools.

This paper aims to draw on values theory, associative network theory and schema congruity theory to examine how consumers attribute human-like values to product categories and products, and how these attributions affect product evaluations.

Study 1 randomly assigned 925 respondents to one of three product categories (cars, mobile phones and vacations). They were asked about their values and to attribute values to an assigned product category. Study 2 randomly assigned 919 respondents to one of the four value-expressive car conditions. They were asked to attribute values to the car, and then about their attitudes and purchase intentions.

Respondents attributed human-like values to product categories and products that were distinct and reflected the motivational compatibilities and conflicts inherent in the circular structure of human values. Moreover, multifaceted value congruity effects were found to positively influence attitudes and intentions to purchase a car, including congruity with product category values-schema, consumers’ personal values-schema and the structure of human values.

The authors demonstrate how a cognitive memory-based view can be used to better understand the complexities of the attribution of human-like values to products and product categories. Moving beyond the attribution of brand personality, this study shows the importance of not only understanding the attributions of values to a product but also considering how these attributions interact with the more abstract product category values to influence evaluations.