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This study addresses the following question: “What factors attract customers to the shopping mall?”, since the commercial attraction of this major retailing format is an undertaken variable. So, the purpose of this paper is to provide an empirical analysis of the main commercial pull factors of the shopping malls in order to attract potential customers.

For this purpose, the authors provide and empirically test a conceptual model considering the variables convenience, tenant variety and specialisation, internal environment, leisure and communication. Data were analysed through structural equation modelling on a sample of 253 customers.

The findings suggest that tenant variety and the internal environment of the mall – understood as an adequate tenant mix and a pleasant, attractive environment – are the main determinants of attracting customers. However, the convenience of the shopping mall and the communication activities do not show a significant influence as pull factors.

The results obtained suggest that marketing managers have numerous tools to influence customers’ intention to visit and patronise shopping malls.

Situational factors influence food and drink consumption, being how, when and where, not fully researched. In this context, the purpose of this paper is to address the influence of “where” in alcoholic beverage consumption. That is, the authors examine the influence of the place of consumption, comparing consumer behaviour at home and at hostelry outlets.

For this purpose, beer was selected as the alcoholic beverage category. Then, a conceptual model of consumer behaviour was proposed and empirically tested through multi-group structural equation modelling (SEM) on a sample of 525 beer consumers (home consumers=209 and hostelry consumers=316.

The findings show that the place of consumption influences alcoholic beverage consumer behaviour. While home consumers demand value for money, hostelry consumers seek for product perceived quality.

This research suggests the applicability of situational factors to the beverages market, providing a starting point for situational segmentation.

The authors’ major contribution is the empirical examination into how alcoholic beverage consumption behaviour is situational dependent.

The purpose of this paper is to address the following issue: “Does the products’ perceived quality influences the consumer behaviour in the specialty retailing setting?”

For this purpose, the authors propose and empirically test a conceptual model on the creation of consumer satisfaction and loyalty in specialty retailing, to examine the influence of products’ quality perception and its potential moderating role. Data were analysed through structural equation modelling on a sample of 592 consumers

The findings show that the store-based attributes have different influence on customer satisfaction and loyalty, according to the quality perception of products, and suggest the moderating role of products’ perceived quality.

Retailing managers may use the product’s perceived quality as a segmentation variable in the specialty food retailing context.

The major contribution of this paper is the empirical analysis of one subjective customer-based variable in the specialty retailing setting.

Celebrity endorsement has been profusely used to promote the consumption and purchase intention of diverse product categories; however, there is scarce research about whether celebrity endorsement effectiveness differs between brands and product categories. In this context, this study aims to answer this question: “Does consumer purchase behavior influenced by celebrity endorsement differ between brands and products?”.

To this end, a conceptual model of the influence of celebrity endorsement on consumer purchase behavior is examined through a multiple group structural equation modeling on two consumer samples (315 = brands; 308 = product categories). Samples were categorized as a celebrity promoting either a product category or a brand, and food products were selected as the product category for the investigation.

Findings indicate differences in the effectiveness of celebrity endorsement between brands and product categories: credibility is the most relevant variable influencing consumer purchase intention for product categories, while credibility and congruence both influence consumer purchase intention for brands. Similarly, the celebrity recommendation of brands generates greater purchase intention due to celebrity congruence with the endorsed product.

To the best of the authors’ knowledge, the present research is one of the first endeavors to compare the effectiveness of celebrity brand endorsement versus celebrity product endorsement on purchase intention.

Ultra-processed food products are omnipresent in our homes and in grocery stores, and everybody consumes these food products once in a while. In this context, the present study aims to analyse what factors influence the consumption behaviour of ultra-processed food products and, more precisely, what factors drive consumer satisfaction and purchase intention of these food products in one specific market – Spain-.

A model of consumer behaviour of ultra-processed food products is proposed and analysed through structural equation modelling on a sample of 608 consumers.

Findings indicate that the effortlessness of ultra-processed food products, as well as their affordability, are the factors that exert the higher influence on consumer satisfaction and purchase intention of ultra-processed food products. On the other hand, the product quality and the ability to save time show a negative influence on both consumer satisfaction and intention to purchase. Contrary to the initial expectations, product convenience and the hedonistic nature of ultra-processed food products do not influence consumer behaviour.

Food policymakers and public health interventions may consider possible actions to reduce the consumption of ultra-processed food products, the reduction of their affordability through taxation or the compulsory inclusion of nutritional warnings in the front of the package to confront marketing actions developed by food companies.

This study examines the factors that drive the purchase and consumption of ultra-processed food products in one European mature market: Spain.

The purpose of this study is to examine whether there are differences in second-hand online shopping behavior driven by the generational cohort.

Based on the generational cohort theory, this research examines what factors influence and prevent the purchase of second-hand products online, comparing generational cohorts. For this purpose, data are analyzed through multiple-group structural equation modeling (SEM) (Gen X = 176; Millennials = 197; Gen Z = 233).

Findings report noticeable different motivations and barriers across consumer generations in their second-hand shopping behavior: Gen X are mostly driven by economic motivations; Gen Z are driven by ethical motives, while economic and environmental motivations exert greater influence for Millennials. Conversely, functional risk is the main barrier for the three generational cohorts.

To the best of the authors’ knowledge, this is one first attempt to examine why different generational cohorts of consumers purchase or prevent from purchasing used items through the internet.

In this context, the aim of the present research is to examine what factors determine that consumers restrain from shopping used products through the Internet. So, this research aims to analyze what makes consumers prevent from shopping second-hand products online.

For this purpose, the authors propose and empirically test a conceptual model of the barriers towards online second-hand shopping behavior. Drawing on a sample of 405 consumers data were analyzed through structural equation modeling (SEM).

The findings reveal that contamination effects and the lack of trust towards the online store, followed by the low perceived product reliability and the poor product perceived quality prevent consumers from shopping used products online. Conversely, consumer embarrassment for shopping second-hand products and the purchase uncertainty do not influence consumers' second-hand shopping behavior.

This study contributes to the marketing literature on second-hand shopping, being an attempt to explore the factors that prevent consumers from purchasing used products through the Internet.

Mobile services are expanding rapidly, and in this tremendously dynamic environment, companies should provide value-added services to meet users’ demand. In this context, the study aims to determine whether different user groups exist in this market and profile them.

Based on the information of 568 mobile service users, a research was developed in the context of a mature mobile services market – Spain. A behavior-based cluster analysis is developed by means of confirmatory factor analysis (CFA), followed by two-step clustering. Then, an ANOVA and post hoc Tukey tests are conducted to confirm differences among the obtained clusters.

The study findings show that mobile service users cannot be perceived as a homogenous group, as different users with different behaviors coexist in this market. More specifically, four behavior-based segments emerge in the mobile service sector: “service connoisseurs,” “uninvolved pragmatics,” “potential switchers” and “delighted loyal”; “potential switchers” being the most challenging segment for mobile service companies.

This study reports mobile service users’ heterogeneity; and in turn, mobile service managers should consider customers as four different types, instead of considering them as one single customer.

Los servicios móviles se están expandiendo rápidamente y en este entorno tremendamente dinámico, las compañías de servicios móviles deberían de proporcionar servicios de valor añadido para satisfacer la demanda de sus usuarios. En este contexto, esta investigación tiene como objetivo determinar si existen diferentes grupo de usuarios en este mercado y aportar su pefil.

Sobre la base de información de 568 usuarios de servicios móviles se lleva a cabo una investigación en el contexto de un mercado de servicios móviles maduro –España-. Se lleva a cabo un análisis clúster basado en el comportamiento de los usuarios, mediante un análisis factorial confirmatorio (CFA), seguido de un análisis clúster bi-etápico. A continuación, se realizan un test Anova y un test pos hoc de Tuckey para confirmar las diferencias entre los grupos obtenidos.

Los resultados de la investigación muestran que los usuarios de servicios móviles no pueden ser percibidos como un grupo homogéneo, ya que en este mercado coexisten diferentes usuarios con diferentes comportamientos. Más específicamente, cuatro segmentos de usuarios surgen en el sector de los servicios móviles basados en su comportamiento: “conocedores del servicio”, “pragmáticos no involucrados”, “potenciales cambiadores de servicio” y “leales encantados”, siendo “potenciales cambiadores de servicio” los que presentan un mayor desafío las empresas de servicios móviles.

Este estudio muestra la heterogeneidad de los usuarios de servicios móviles, y por tanto, los gestores de los servicios móviles deben considerar a sus clientes como cuatro tipos diferentes, en lugar de considerarlos como un único tipo de cliente.

移动服务正在迅速扩张，在这个巨大的动态环境中，企业应该提供增值服务来满足用户的需求。在此背景下，本研究旨在确定该市场是否存在不同的用户群体，并对其进行分析。

基于568名移动服务用户的信息，在一个成熟的移动服务市场（西班牙）的背景下开展了本次研究。通过确认性因子分析（CFA）进行基于行为的聚类分析，然后进行两步聚类。最后，方差分析和事后Tukey检验被用于确认获得的聚类之间的差异。

研究结果表明，移动服务用户不能被看作是一个同质的群体，因为在这个市场上共存着不同的用户，他们具有不同的行为。具体来说，移动服务领域可以划分为基于用户行为的四个细分市场："服务行家"、"不参与的实用主义者"、"潜在的转换者 "和 "愉悦的忠诚者"；其中，"潜在的转换者 "是对移动服务企业来说最具挑战性的细分市场。

本研究报告了移动服务用户的异质性；反过来，移动服务管理者应该考虑把客户划分为四种不同的类型，而不是将他们视为一个单一的整体。

There are differences in the motivations underlying technology behaviour in each generational group; and there may be variances in the way each generational group uses and gets engaged with technology. In this context, this study aims to address the following questions: “Does generational cohort influence technology behaviour?” and if so: “What are the main motivations underlying Millennials and Generation X technology behaviour?”.

For this purpose, based on the uses and gratifications theory this study examines technology behaviour through multi-group structural equation modelling, drawing on a sample of 707 millennials and 276 Generation X individuals

Research findings indicate that millennials mostly use and get engaged with technologies for entertainment and hedonic purposes; while Generation X individuals are mainly driven by utilitarian purposes and information search. Further, research findings indicate the moderating role of generational cohort in the use of technologies.

This study provides empirical evidence of the main differences and motivations differences driving technology behaviour of millennials and Generation X individuals.

Emotional and affective responses are experienced during service use that determine customer behavior; and for this reason, bank services require an better understanding of the emotions customers feel in service experiences. This research aims to examine whether different customer segments exist in the bank services industry, based on the emotions they experience when using the service.

The factors were examined through confirmatory factor analysis (CFA). Then, two-step clustering analysis was developed for customer segmentation on data from 451 bank service customers. Finally, an Anova test was conducted to confirm the differences among the obtained customer segments.

Our findings show that the emotion-based segmentation is meaningful in terms of behavioral outcomes in bank services. Further, research findings indicate that bank service customers cannot be perceived as a homogenous group, since four customer clusters emerge from our research namely “angry complainers”, “pragmatic uninvolved”, “emotionally attached customers” and “happy satisfied customers”.

Our findings show that the emotion-based segmentation is meaningful in terms of behavioral outcomes in bank services. Further, research findings indicate that bank service customers cannot be perceived as a homogenous group, since four customer clusters emerge from our research namely “angry complainers”, “pragmatic uninvolved”, “emotionally attached customers” and “happy satisfied customers”, being the “angry complainers” the most challenging customer group.

The study is the first one to specifically segment bank customers based on the emotions they experience when using the service.