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The purpose of this paper is to investigate the relationship between several aspects of store flyers design (presence of a institutional slogan, type of product (national brand (NB) or store brand (SB)) featured on the cover page, the size of the flyer, number of featured NBs, type of brand (NB vs SB) on promotion, and price difference between the most expensive (NB) and the cheapest SB) and the consumer’s perceived variety of the retailer’s assortment, as a dimension of its global image.

A mixed laboratory experiment that combined a between-subjects experimental design and inter-subject conjoint analysis was conducted. A fictitious flyer from a fictitious supermarket was created that included both real NBs and fictitious SBs. In total, 12 scenarios (i.e. flyers) were tested using a sample of 406 participants.

Analysis suggests that longer flyers have the greatest influence on consumers’ perceived variety of a retailer’s assortment; a greater number of NBs in a category influenced consumers’ perceptions positively, and featuring SBs on the cover enhanced perceived variety. If a retailer features SBs on a flyer’s cover, longer flyers are recommended, and shorter flyers are recommended if NBs are featured on the cover. A retailer should promote its own brand only if the most expensive NBs are featured with SBs.

This study analyses a single aspect of consumers’ purchasing behaviors – variety of a retailer’s assortment. Future research should examine other variables related to consumers’ purchasing behaviors. This study uses an online context to test hypotheses, but many aspects of flyer design are physical. Future research should test current findings in offline contexts to compare results. Research should also explore moderation by consumer variables such as brand and store loyalty.

To researchers, the authors offer improved understanding of how a flyer’s design affects the first stage of purchasing. To practitioners, results offer better understanding of positive returns on investment of store flyers, and to retailers, results offer a guide to creating and organizing flyers.

This study is first to assess how a flyer’s design influences a dimension of store image. Unlike extant research that examines store flyers using econometric models at the aggregate level, this study uses a laboratory experiment that combines a between-subjects design with conjoint analysis.

The authors analyze the relationship between different consumer attitudinal variables and a number of variables related to consumer perception of the store and purchasing behavior, in assortments composed exclusively of private labels (PLs).

The authors developed an experiment based on an online survey to test the hypotheses formulated. The model’s causal relationships are established using structural equations.

The image of stores that only offer their own brand is mainly configured by price consciousness and the attitude toward the private label. The private label purchase intention is strongly influenced by the store image and a favorable attitude toward the brand, and loyalty strategies should be aimed at securing a clear perception of providing real value.

For retailers who only offer their own brands, an assortment with price-competitive PLs is key to the strategy of differentiating them from other retailers. It is reasonable to assume that, if retailers have a favorable image, customers transfer this brand value to their PLs and trust them. Customer loyalty strategies of these retailers should be aimed at ensuring that consumers clearly perceive that their assortment provides real value and that, although it is limited in terms of number of brands, it can meet all their needs.

This research represents a significant contribution to brand management literature because, includes, together with loyalty to the store, its image and the PL purchase intention as consumer response variables. Another differentiating feature is the methodology used. Estimation of the structural equation model permits the simultaneous estimation of the relationships between the variables.

Analizamos la relación entre diferentes variables actitudinales de los consumidores y un número de variables relativas a la percepción de los consumidores con respecto al establecimiento y el comportamiento de compra, todo ello en surtidos compuestos exclusivamente por marcas de distribuidor.

Desarrollamos un experimento online, basado en una encuesta, para testar las hipótesis planteadas. Utilizamos ecuaciones estructurales para determiner las relaciones causales del modelo.

La imagen de los establecimientos que ofrecen exclusivamente su propia marca se configura, principalmente, por la conciencia de precio y por la actitud de los consumidores hacia la marca privada. La intención de compra de la marca de distribuidor está fuertemente influenciada por la imagen del establecimiento y por una actitud favorable hacia dicha marca, por lo que las estrategias de fidelización de clientes deberían estar orientadas a asegurar una clara percepción de proporcionar valor real a los consumidores.

Para los minoristas que ofertan exclusivamente sus propias marcas, un surtido con marcas de distribuidor muy competitivas en precio es fundamental en su estrategia de diferenciación de sus competidores. Además, es razonable suponer que si los minoristas cuentan con una imagen favorable, los consumidores trasladarán este valor de marca a sus propias marcas propias y confiarán en ellas. Las estrategias de fidelización de este tipo de minoristas deberían ir enfocadas a asegurarse de que los consumidores perciben claramente el valor real que aporta su surtido y que, aunque limitado en términos de número de marcas y alternativas, les permite cubrir todas sus necesidades.

Esta investigación supone una significativa contribución a la literatura sobre gestión de marcas al incluir, conjuntamente con la lealtad al establecimiento, su imagen y la intención de compra de la marca de distribuidor como variables respuesta del consumidor. Otro elemento diferenciador es la metodología empleada, ya que la estimación del modelo de ecuaciones estructurales permite la estimación simultánea de las relaciones entre las distintas variables.

The purpose of this paper is to analyze consumers’ reaction to assortment composition.

This study examines several scenarios: private label (PL)-only assortments; mixed assortments (PL and national brands (NBs)), and in the latter case both small and large assortments. Consumers’ reaction is measured through three dependent variables: store image, PL purchase intention and store-switching intentions. The authors ran a structural equation model (SEM) to analyze the influence of different explanatory aspects (product category involvement, attitude toward PL, value consciousness and assortment variety perception) on consumers’ reactions for each scenario. For this research, the authors carried out an online experiment with a sample of 1,400 individuals from a large panel of consumers.

Consumers react differently to different assortment compositions, giving importance to the differences between the three assortment models analyzed. The results show that the composition of the assortment, either according to its size or its structure, influences consumers’ response in a significant way. The results demonstrate that store image exclusively affects PL purchase intention in PL-only assortments. Only in mixed assortments is there a relationship between the assortment variety perception and store image, product category involvement and PL purchase intention, and both store image and value consciousness are related to store-switching intentions. Store-switching intentions decrease when consumers intend to purchase PL, but strictly in PL-only and large mixed assortments. Finally, value consciousness and variety perception are positively related to PL purchase intentions only in large mixed assortments.

One limitation of this research is that it is restricted to the Spanish context. Second, the methodology is based on an online experiment, with the advantages and disadvantages that this entails. Third, the authors did not differentiate between high- and low-value PL which, if undertaken, could be of interest for observing how brand value affects the management of retail assortments. Finally, the authors did not differentiate regular buyers at these retail chains from those who are not.

The comparison between different assortment compositions helps the authors to draw some very interesting conclusions. The estimation of different consumers’ responses is ideal for providing retailers with recommendations on how to frame their assortment strategies. Thus, the main recommendation of this study for retailers is to look for a “balance” between PL and NBs, i.e., to offer mixed assortments.

Aside from mixed assortments, this study estimates the consequences of assortments that are exclusively PL. The authors proposed and deployed a SEM, so this paper contributes to the retailing field by including multiple dependent variables – store image, PL purchase intention and store-switching intentions. The authors conducted an online experiment containing “real” brands, which is another contribution as it enables consumers’ response to be estimated in a “real” environment.

Adaptive conjoint analysis (ACA) is a market research methodology for measuring utility in business-to-business and customer studies. Based on partial profiles, ACA tailors an experiment’s design to each respondent depending on their previously stated preferences, ordered in a self-assessment questionnaire. The purpose of this paper is to describe advantages and disadvantages of using a partial-profile randomised experiment, the usual system, and to propose a new design strategy for arranging profiles in blocks that improve its performance.

The authors propose a comparison between their design with the commonly used designs, as random designs and the so-called “mirror image”, in their resolution capacity for the estimations of main factors and two-factor interactions with the lowest number of profiles.

Comparing the proposed design over the other two designs highlights certain aspects. The proposed design guarantees more estimation for each experiment than the others and allows the researcher to tailor the design to his or her goals. The authors’ procedure will help researchers to determine an experiment’s resolution capacity before carrying it out, as well as to estimate main factors and two-factor interactions alike.

The authors propose a new design strategy for arranging the profiles in blocks for improving the performance of ACA. This proposal is based on the use of a full-profile approach in which profiles are arranged in two-level factorial designs in blocks of two, and the levels of each factor are codified vectorially.

This paper seeks to examine the relationship between service quality and behavioural purchase intentions in the public‐sector transport industry in Spain.

The study first identifies five distinctive research streams in service quality. An empirical analysis is then carried out in which the SERVPERF scale is adapted to the study of service quality in the public‐sector transport industry. The study then examines the relationship between service quality and purchase intention using an aggregated ordered logit model.

The findings confirm a relationship between the five dimensions of service quality and purchase intentions.

The study provides a useful guide to research into service quality by identifying five distinctive streams of research on the field. The study also contributes from a methodological perspective by offering a measurement scale for service quality in the public‐sector transport industry. Finally, the study contributes to studies of perceived service quality by providing an aggregated ordered logit model, and by confirming the link between service quality and behavioural intention in a public‐sector context.

The purpose of this paper is to understand, with an emphasis on the psychological perspective of the research problem, the consumer's adoption and use of a certain web site recommendation system as well as the main psychological outcomes involved.

The approach takes the form of theoretical modelling.

A conceptual model is proposed and discussed. A total of 20 research propositions are theoretically analyzed and justified.

The theoretical discussion developed here is not empirically validated. This represents an opportunity for future research.

The ideas extracted from the discussion of the conceptual model should be a help for recommendation systems designers and web site managers, so that they may be more aware, when working with such systems, of the psychological process consumers undergo when interacting with them. In this regard, numerous practical reflections and suggestions are presented.

The paper is based on and adapts classical theories of consumer behaviour, integrating them into particular theories developed within the framework of computer‐mediated environments.

Structural equation modelling (SEM) is a method that is very frequently applied by marketing and business researchers to assess empirically new theoretical proposals articulated by means of complex models. It is, therefore, a logical thought that the quality of the new advances in marketing and business theory depends, in part, on how well SEM is applied. This study aims to conduct an extensive review and empirical analysis of a broad variety of classic and recent controversies and issues related with the use of SEM, in order to identify problematic questions and prescribe a compendium of solutions for its suitable application.

The main analyses were conducted on a sample of 191 SEM‐based papers and 472 applications, i.e. all the SEM‐based studies published in four leading marketing journals during the period 1995‐2007.

Despite the maturity of SEM, its application in marketing research still has notable room for improvement. This is a general conclusion based on numerous problems detected and discussed here.

The study provides plausible solutions to the problems identified, a useful guide that is easy to follow and to apply adequately to present SEM issues in marketing and business studies.

The sample of SEM‐based papers and applications is limited to four publication outlets. A wider set or/and other journals different to those analyzed here may be preferred.

This is a valuable and timely study of the application of SEM in marketing and business research, and is also useful as a guiding framework for good practice. Likewise, as the problems discussed here presumably occur in other areas of social science, this paper should be welcome beyond the borders of the business disciplines.

The purpose of this paper is to determine the effect of the co-alignment of structural variables on innovation, wherein Bogotá-based SMEs, belonging to the industrial, commercial and services sectors, were used as samples.

The study was conducted using a causal inference methodology and through the application of a structural equation model.

The results indicate that organizational structure has an influence on innovation, although this is true only for some variables and only when the analysis is performed separately. When performed under strategic co-alignment conditions, however, its influence becomes greater.

Organizational structure and innovation are determining factors of organizational performance. Although the strategic co-alignment theory has provided points of reference to understanding the phenomenon of organizational performance, there are still many gaps left to be filled. Additionally, it also requires empirical validation especially in relation to Colombian SMEs – and this is where this work makes a contribution.

El objetivo de este artículo es determinar el efecto de la co-alineación de las variables estructurales con la innovación en una muestra de Pymes Bogotanas de los sectores industrial, comercial y de servicios.

El estudio se llevó a cabo mediante una metodología de inferencia causal aplicando un modelo de ecuaciones estructurales.

Los resultados indican que la estructura organizacional influye sobre la innovación solo desde algunas variables cuando el análisis se realiza por separado, pero cuando el análisis se efectúa en condiciones de co-alineación estratégica, el impacto es mayor.

La estructura organizacional y la innovación son factores determinantes del desempeño organizacional. Si bien la teoría de la co-alineación estratégica ha entregado los referentes para comprender el fenómeno del desempeño en la organización, aún faltan muchos vacíos por llenar y más validación empírica, sobre todo en las influencias con la innovación y especialmente en el ámbito de las Pymes Colombianas. Este trabajo realiza un aporte en este sentido.