Search results

The study of the background to programmatic advertising is of great interest in the context of digital marketing. Therefore, the main aim of this research is to define a structural equation modelling (SEM) model, which allows studying the relationship between the usefulness and privacy of online ads to increase the effectiveness and efficiency of campaigns through the use of computation and big data.

A cross-sectional descriptive study based on the Web Browsers Survey was carried out on a sample of 24,062 Internet users by the Association for Media Research. The partial least squares structural equation modelling method (PLS-SEM) was applied to evaluate the model with the study constructs and test the hypotheses.

The result of this research allows us to know how perceived usefulness (U) and perceived annoyance (A) affect users' privacy concerns (P) and concerns about the storage and use of their data through cookies (C). The authors also seek if there is any relationship between privacy concerns (P) and cookies (C) on users' level of Internet usage (IU).

One of the novelties of this study is the consideration not only of Internet user perceptions but also their concerns about privacy and the use of cookies, as key variables in the strategic management of the use of programmatic advertising in digital marketing.

The study of the antecedents to loyalty is of great interest to both academics and professionals in the context of fashion consumption. The purpose of this paper is to define a SEM model, in which brand image and its dimensions, as well as consumer satisfaction and consumer happiness as mediators, are explained as antecedents to loyalty.

A transversal descriptive study based on primary data were, therefore, carried out using a survey with a sample of 2,515 consumers representing the Spanish population. The Partial Least Square method was applied to test the hypotheses.

The results of this research tell us which variables have a positive influence on consumer loyalty to fashion brands, where brand image, satisfaction and consumer happiness are the determining variables of loyalty.

This model has important implications and contributes both to the literature and to the choice of differentiation and brand positioning strategies for marketing to a global and highly competitive market.

One of the novelties of this study is the fact that it considers the consumer happiness variable as an antecedent to loyalty in the fashion consumer sector.

The main aim of this work is to design a model in which service quality receives satisfaction and trust and they have influence on happiness and loyalty.

A SEM-PLS model is designed to explain the happiness of athletes. This is tested through a survey of Spanish karate federates. The sample proposes 693 responses are collected.

The results indicate that service quality has a strong positive influence on satisfaction and trust, and it has an indirect influence on happiness and loyalty of the Spanish karate federates.

This article contributes to the literature increasing the knowledge of the variables that have positive influence, as antecedents of happiness and loyalty in karate federations.

The results of this study can help the decision-making of the governing boards of sports federations so they will be more aware of the strategies that promote the happiness and loyalty of the athlete.

One of the original contributions of this work is that the model shows the loyalty, happiness, trust and satisfaction as a result of quality services.

The purpose of this paper is to establish a reference model that will allow us to understand the factors that influence the omnichannel management of an organization in a business-to-business (B2B) context.

In building the model, a partial least squares structural equation modeling approach was followed. More than 1,000 executives with a C-level profile (chief executive officer, chief marketing officer or chief digital officer), from manufacturers and wholesalers, in various industries worldwide were contacted. The final sample consisted of 124 C-level executives in multinational B2B companies from 35 countries worldwide.

The principal finding is that optimal omnichannel management must involve a customer-centric proposition forming the basis for individualized marketing that tailors the company’s portfolio of solutions to suit each client. To ensure this, customer knowledge at each touchpoint is essential. The results show that the main predictor of B2B omnichannel management is sales and marketing, even above channels. The principal conclusions are that the model shows that good omnichannel performance is measured by the performance of the industrial buyer. Loyalty and experience are primary measures of this customer’s performance.

Research into omnichannel management in the B2B field is scarce, especially concerning the creation of models for decision-making.

The study of citizens' perceptions of the performance of public services and their relationship with the taxes allocated to them is of great interest in the context of public and fiscal management and the welfare state. This study has a twofold objective in defining a structural equation modeling (SEM) model: on the one hand, to measure the relationship between the perception of the performance of public services and the taxes allocated to them and on the other hand, to study the reflection of the perception of the performance of public services on the happiness and satisfaction of citizens.

To achieve this objective, a descriptive cross-sectional study was carried out based on data from the “Public opinion and fiscal policy, 2022” questionnaire of the Centro de Investigaciones Sociológicas (CIS) through a survey with a sample of 2,543 citizens representative of the Spanish population. The partial least squares (PLS) method was applied to test the following hypotheses.

The result of this research allows us to know which variables in relation to citizens' perception of the functioning of public services have a positive influence on use of taxes and on citizens' happiness and satisfaction.

One of the novelties of this study is to analyse the effect of consumer perception on the performance of public services from the perspective of the welfare state by improving citizens' happiness and satisfaction.

The aim of this research is to carry out a bibliometric analysis of the academic literature indexed in the Core Collection of the Web of Science (WoS) on happiness management in companies during the period between 2000 and 2022. In particular, the variables used to keep the scientific production under study are as follows: (1) time evolution, (2) publication format, (3) categories, (4) authors, (5) institutions, (6) journals, (7) publishers and (8) countries.

To carry out the analysis, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology is followed, using the WoS database for data collection and VosViewer to create the network maps.

The results show, among other aspects, the accelerated growth rate of the scientific production studied since 2017, the use of publications in articles as the main format for disseminating research results, the relevance of the business category as the area of study in which most of the scientific production examined falls as well as the predominant role of the publishers Emerald, Springer and Elsevier in the publication of scientific documents on the subject under analysis.

There are different reasons that justify the originality of the study. First, the research advances the understanding of the academic literature on happiness management at the corporate level. Second, to the best of the authors' knowledge, there are no previous bibliometric studies that have addressed this topic. Third, the research analyses the literature under analysis from the first record to the year 2022, assuming an update of the previous narrative and systematic reviews carried out on the subject studied.