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Analyzing current recommender systems, it is observed that the cold start problem is still too far away to be satisfactorily solved. This paper aims to present a hybrid recommender system which uses a knowledge‐based recommendation model to provide good cold start recommendations.

Hybridizing a collaborative system and a knowledge‐based system, which uses incomplete preference relations means that the cold start problem is solved. The management of customers' preferences, necessities and perceptions implies uncertainty. To manage such an uncertainty, this information has been modeled by means of the fuzzy linguistic approach.

The use of linguistic information provides flexibility, usability and facilitates the management of uncertainty in the computation of recommendations, and the use of incomplete preference relations in knowledge‐based recommender systems improves the performance in those situations when collaborative models do not work properly.

Collaborative recommender systems have been successfully applied in many situations, but when the information is scarce such systems do not provide good recommendations.

A linguistic hybrid recommendation model to solve the cold start problem and provide good recommendations in any situation is presented and then applied to a recommender system for restaurants.

Current recommender systems have limitations in providing successful recommendations mainly related to information scarcity, such as the cold start. The use of incomplete preference relations can improve these limitations, providing successful results in such situations.

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.

In this chapter, we introduce a new construct we call “Perceived Deception in Online Consumer Reviews” (PDOCR). Online reviews of products are very important to companies and customers, yet they are vulnerable to unethical representations. Even regardless of whether a deceptive review has been posted or not, we take the position that it is important to understand consumers’ perceptions of deception because it is a consumer’s perception that leads him or her to experience subsequent feelings and opinions and to consider follow-up actions. We draw on the literature and build on the Elaboration Likelihood Model and Cognitive Dissonance Theory to create an overarching framework of antecedents of PDOCR, consequences, and moderators. We also report findings from a sample of in-depth interviews with real consumers about their thoughts on these phenomena and related constructs. We use our framework and theories and the qualitative data to derive Research Questions that we hope will spur future research on these important issues.

This study aims to provide an overview of bank marketing through a retrospection of the International Journal of Bank Marketing (IJBM), the leading journal for bank marketing.

This study conducts a bibliometric analysis to analyze the performance and intellectual structure of bank marketing literature curated through IJBM between 1983 and 2020.

This study sheds light on the growing influence and impact of IJBM on the field of bank marketing through six major clusters (themes): relationship marketing and service quality in banking and financial services, consumer behavior in banking and financial services, customer satisfaction and loyalty in banking and financial services, electronic or online banking and financial services, Islamic banking and financial services, and service failure and recovery in banking and financial services.

Though this study offers a state-of-the-art overview of bank marketing through the lens of IJBM, the insights remain limited to the accuracy and availability of bibliographic data of the journals from Scopus.

To the best of the authors' knowledge, this study represents the first objective assessment of bank marketing and IJBM. Thus, this study should be useful to past and prospective authors, editorial board members, editors, readers and reviewers to gain a one-stop understanding about bank marketing through the contributions of IJBM.

The purpose of this chapter is to illustrate the contribution made by migrants in the territory that hosts them, particularly when they transfer their knowledge to members of the community. In the specific case of the sea urchin fishery, it is described how the Morishita family in Baja California undertakes the sea urchin value chain, from the location of population banks to the commercialization of the product in the Japanese market and, by therefore, the promotion of development in rural places while starting a culture of export and currency generation. An adventure of opportunities that has been successful for more than 50 years, whose origin is the sustainable use of “a plague” that today is a delicacy for many.

The pervasive spread of digital technologies brought an incredible boost in data availability. Companies are dealing with massive amount of data that wait to be exploited. At the same time, scholars are providing different strategies and methods to help companies capture the value embedded in their data to foster innovation and improve the efficiency of existing processes. In these research studies, data are the by-product of something else, and they are a silent asset that needs to be exploited. What if data might be considered the final goal? The paper aims to discuss these issues.

The research is based on an exploratory multiple case study analysis, on the basis of three cases used as an illustration for new ideas. In particular, the gathered data are analyzed according to models previously presented in the literature review, building on and expanding them.

The research proposes a data-driven approach to innovation, offering a peculiar view of the innovation process. The trigger point is the need of data that let begin the entire development process of a complex system. In this perspective, the application that data are a by-product of the entire innovation process and not the primary output is peculiar since the vast majority of the literature consider data as the by-product of the primary product.

Future research is needed to assess the replicability of the model outside the mobile app industry and to measure its performances. Nevertheless, this paper provides insights both for scholars and managers, enlarging the discussion on digital innovation and digital business models.

The results provide a development process to foster innovation relying on the need of data as the trigger point, guiding entrepreneurs and managers in the building process of the entire digital system.

Previous research studies often considered Big Data (BD) in innovation as a way to enlarge the current product offer or to make the innovation process more effective or efficient; this paper changes the perspective by considering BD as the trigger and the enabler of the entire digital innovation process.

Purpose: This paper presents a review of the current state and potential capabilities for application of robots, artificial intelligence and automated services (RAISA) in hotel companies.

Design/methodology/approach: A two-step approach was applied in this study. First, the authors make a theoretical overview of the robots, artificial intelligence and service automation (RAISA) in hotels. Second, the authors make a detailed overview of various case studies from global hotel practice.

Findings: The application of RAISA in hotel companies is examined in connection with the impact that technology has on guest experience during each of the five stages of the guest cycle: pre-arrival, arrival, stay, departure, assessment.

Research implications: Its implications can be searched with respect to future research. It deals with topics such as how different generations (guests and employees) perceive RAISA in the hotel industry and what is the attitude of guests in different categories of hotels (luxury and economy) towards the use of RAISA. It also shows what is the attitude of different types of tourists (holiday, business, health, cultural, etc.) and what kinds of robots (androids or machines) are more appropriate for different types of hotel operations.

Practical implications: The implications are related to the improvement of operations and operational management, marketing and sales, enhancement of customer experience and service innovation, training and management.

Originality/value: This book chapter complements and expands research on the role of RAISA in the hotel industry and makes some projections about the use of technologies in the future.