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The purpose of this paper is to present a global view of the research that has been conducted regarding brand personality by using the Core Collection of the Web of Science (WoS) as a reference. The main bibliometric indicators considered are number of articles, number of citations, main authors, principal journals, institutions, countries and keywords.

Through a bibliometric investigation, this paper performs an analysis of investigations of brand personality that have been conducted to date. In particular, the analysis focuses on the papers that have generated the greatest impact in the scientific community, the journals that have given the most attention to this concept and the authors who have most strongly influenced the academic world in this field. The analysis reveals a series of relationships between the bases of knowledge considered for different authors and journals and the structure of those relationships based on the keywords considered in each contribution.

This analysis allows to obtain a general and impartial view of brand personality research, and it reveals the most relevant contributions to the academic world in terms of authors, journals, institutions, countries and keywords. The analysis shows that the concept under study seems to still be in an early stage of development and there may well be an important amount of development ahead. Although there have been important contributions to this field, work is still required to consolidate this knowledge.

The information provided pertains to a relatively specific subject but is still general when considered within the context of this topic and thus leaves aside elements that could greatly enrich the analysis. However, this work presents some important guidelines for conducting in-depth academic research and publication.

This work identifies the most productive and influential authors, journals, institutions and countries regarding this important topic, as well as the leading trends in this field. Applying those concepts would be helpful to improve the effectiveness of the promotion of brands and products.

The work developed in this article provides an overview of the academic research on brand personality that has been conducted as of April 2018. Another differential characteristic is that this research deeply investigates this concept, considering all the articles published in WoS worldwide.

In 2017, the Journal of Knowledge Management (JKM) celebrates its 20th anniversary. This study aims to show an updated analysis of their publications to provide a general overview of the journal, focusing on a bibliometric analysis of its publications between 1997 and 2016.

The methodology involves two procedures: a performance analysis and a science mapping analysis of JKM. The performance analysis uses a series of bibliometric indicators such as h-index, productivity and citations. This analysis considers different dimensions, including papers, authors, universities and countries. VOSviewer software is used to carry out the mapping of science of JKM, which, based on the concurrence of key words and co-citation points of view, seeks to graphically analyze the structure of the references of this journal.

There is a positive evolution in the number of publications (although with certain oscillations), which shows a growing interest in publishing in JKM. The USA and the UK lead the publications in this journal, although at a regional level, Europe is the most productive. The low participation of emerging economies in JKM is also observed.

The paper will identify the leading trends in the journal in terms of papers, authors, institutions, countries, journals and keywords. This study is useful for obtaining a quick snapshot of what is happening in the journal.

From the historical record of JKM publications, this study presents an exclusive bibliometric analysis of its publications until 2016 and identifies its main trends.

The purpose of this paper is to present a general overview of the most influential countries according to their scientific contributions in marketing for the 1990–2014 period. In this bibliometric-based research, the authors generate a ranking of the 50 most influential nations according to the H-index and citations per paper, co-authorship, citation analysis and bibliographic coupling. The study provides a map that identifies the networks of researchers between countries.

The method used is bibliometric analysis. The relevant research in marketing was extracted from Web of Science Database Core Collection, during the 1990–2014 period; 29,947 published articles in 50 countries were obtained. The investigation used: H-index as the first criterion in creating the country ranking, number of articles (TP) as a proxy for the productivity of each country, the average citation per article (C/P) and the number of citations (TC) to express the influence of a country’s articles. In addition, the study adopts VOSviewer software to identify the collaboration networks of researchers between countries and the links between countries.

The results reveal a general level that 54 percent of countries have a category H-index greater than 20. In turn, the authors see a steady increase in the number of publications over the five-year periods. The first ten countries account for over 80 percent of all publications of the sample. The USA is presented here as the leader in all indicators and highlights the important role that China has been developing.

Several limitations of the study result from the use of the Web of Science database. For example, each journal, author, university and/or country involved in a specific paper is considered a single unit. Therefore, in research papers with more than one author or with authors from different universities and/or countries, only the lead author is considered in the analysis. In addition, the study does not include new trends in publications between 2014 and 2018. However, there are other databases that could have been used such as: Scopus, Google Scholar, among others.

The findings are relevant for students, academics, organizations and governments, which may use this information for decision making on future research, identifying countries concerning the area and their relationships.

This paper shows progress and contribution of the most influential countries according to their scientific contribution in marketing during the period 1990–2014. This research is relevant because until now there has been no study with the sole purpose of ranking countries according to their marketing publications. In this sense, the study is useful to academics, publishers, educational institutions or other interested in marketing. The study provides a knowledge domain map that identifies the collaboration networks of researchers between countries and the links between countries.

The European Journal of Marketing was created in 1967. In 2017, the journal celebrates its 50th anniversary. Therefore, the purpose of this study is to present a bibliometric overview of the leading trends of the journal during this period.

This work uses the Scopus database to analyse the most productive authors, institutions and countries, as well as the most cited papers and the citing articles. The investigation uses bibliometric indicators to represent the bibliographic data, including the total number of publications and citations between 1967 and 2017. Additionally, the article also develops a graphical visualization of the bibliographic material by using the visualization of similarities viewer software to map journals, keywords and institutions with bibliographic coupling and co-citation analysis.

British authors and institutions are the most productive in the journal, although Australians’ are growing significantly the number of papers published. Continental European institutions are also increasing the number of publications, but they are still far from reaching the British contribution so far. In the mid-term, however, these zone’s authors and institutions, especially those from big European countries like France, Germany, Italy and Spain, should reach a closer performance to British ones; more as less long, historic, but more recent periods of analysis are considered.

This article is useful for any reader of this journal to understand questions such as papers’ European Journal of Marketing-related scientific productivity in terms of, for instance, contributors/authors, institutions and countries, or the main sources used to back them.

This is the first comprehensive article offering a general overview of the leading trends and researchers of the journal over its history.

The purpose of this paper is to develop a novel method to analyse dynamic interactions of stakeholders to explain how a set of agents can act by considering the power/influence positions.

A novel mathematical application uses the importance of characteristics algorithm in combination with composition max-min to compare, group and order information according to the importance of its characteristics. The mathematical application is focused on a strategic analysis, evaluating stakeholder dynamics through power relationships.

The results show a comparison of the relationships among each of the stakeholders to obtain the relative intensity and importance of relationships between them, given by the fuzzy matrix FRInM and the fuzzy matrix FRIM, respectively. This application provides a useful tool for a dynamic analysis of stakeholders in a complex environment, where the best approach to performing a strategic analysis process is sought.

The main implication of the proposed approach is taking into account the importance of information to establish the boundaries and relationships of each characteristic according to its intensity. However, limitations are due to the nature of this research, based on theoretical assumptions regarding stakeholders and the use of a hypothetical example to show the operation of algorithms.

The primary advantage of this proposition is that it takes into account the importance of information to establish the relationships among the characteristics according to their intensity. In addition, it performs multiple comparisons among each characteristic of the information. The interests and opinions of decision makers can be parameterised. A mathematical application shows how each interest group could be classified and related according to subjective information.

This study aims to present a bibliometric overview of articles published in the field of tourism, leisure and hospitality and analyzed by researchers mainly affiliated with European institutions.

The authors conducted a bibliometric study of journals included in the Web of Science related to the field of tourism, leisure and hospitality in 2019. The review incorporates various techniques to determine the field’s structure from a scientific and intellectual perspective.

The results are valuable for several reasons. First, they will support researchers in identifying those topics with the greatest potential for advancing research in this field. Second, they will constitute an important aid in the design of new policies for journal publishers.

This study can lead to advances in the tourism, leisure and hospitality field, as it identifies the publication trends of researchers who are mainly affiliated with European institutions. It also offers useful information for practitioners and academics in their endeavor to identify gaps in the extant literature and future trends.

No other studies have analyzed this field for a period of this length.

This paper aims to present a bibliometric overview of the leading trends of the journals in industrial marketing during for 25 years. Thus, the purpose is to carry out an analysis about contributions that industrial marketing or business to business (B2B) marketing discipline has done for scientific investigation, presenting a ranking of the 30 most influential journals and their global evolution by five-year periods from 1992 to 2016. Moreover, this study presents the amount of citations, who quotes who from the top 15 ranking and self-citations.

This study analyzes 3,587 documents classified as articles, letters, notes and reviews from Clarivate Analytics’ Web of Science for the period 1992- 2016, by bibliometric indicators such as H-index, total citations (TC), total papers (TP), TC/TP. Furthermore, this paper develops a graphical visualization of the bibliographic material by using the visualization of similarities viewer software for constructing and visualizing bibliometric networks in leading journals, publications and keywords with bibliographic coupling and co-citation analysis.

Industrial Marketing Management is the leader of the ranking, representing 34 per cent of the total manuscripts considered in this study. The most influential journals were classified by periods of five years and the top five for the period 2012-2016 were in ascending order: Industrial Marketing Management, Journal of Business & Industrial Marketing, Journal of Business-to-Business Marketing, Journal of Business Research and Journal of Marketing. Therefore, in this last period, the considered specialized journals of industrial marketing have increased the quantity (TP) and quality (better H-index) of marketing contributions. The main node on the keywords was of “business-to-business marketing.” The most frequent keywords were “industrial marketing,” “trust,” “business-to-business,” “B2B,” “relationship marketing” and finally “electronic commerce”.

The information presented in this paper is useful to academics, publishers, academic institutions and other interested groups in industrial marketing because it makes available a global and current picture of this discipline that could be used to make decisions about publishing strategies and journal position.

This study aims to analyze the progress of industrial marketing discipline, reviewing the contribution of several scientific journals for 25 years. In fact, to the authors’ knowledge, this is the first quantitative study focused on the only purpose of ranking the most influential journals and keywords analysis using bibliometric techniques and networks theories.

This special issue of the Journal of Business & Industrial Marketing, entitled “Business, Industrial Marketing and Uncertainty”, presents selected extended studies that were presented at the European Academy of Management and Business Economics Conference (AEDEM 2012).

The main focus of this year was reflected in the slogan: “Creating new opportunities in an uncertain environment”. The objective was to show the importance that uncertainty has in our current world, strongly affected by many complexities and modern developments, especially through the new technological advances.

One fundamental reason that explains the economic crisis is that the government and companies were not well prepared for these critical situations. And the main justification for this is that they did not have enough information. Otherwise, they would have tried any possible strategy to avoid the crisis. Usually, uncertainty is defined as the situation with unknown information in the environment.

From a theoretical perspective, the problem here is that enterprises and governments should assess the information and the uncertainty in a more appropriate way. Usually, they have some studies in this direction, but many times, it is not enough, as it was proved in the last economic crisis.

The purpose of this paper is to develop a new decision making method based on distance measures that uses the probabilistic weighted averaging (PWA) operator. The paper introduces the PWA distance (PWAD) operator. It is a new aggregation operator that uses probabilities, weighted averages (WAs) and distance measures. Some of its main properties and particular cases are studied such as the arithmetic weighted Hamming distance and the arithmetic probabilistic Hamming distance. An application in a group decision making problem concerning the selection of investment strategies is also presented.

The paper follows the aggregation operator literature by designing new aggregation operators based on the use of distance measures. Also an application in investment selection is developed.

The PWAD operator is presented. It permits to use distance measures with probabilities and WAs in the same formulation. Moreover, the paper also finds the PWA norm aggregation and implements them in a group decision making problem.

The PWAD operator can be applied in a wide range of problems including statistics, economics and engineering. The paper focuses on a multi‐person decision making application concerning the selection of the optimal investment strategies.

New aggregation operators by using distance measures are presented. Their main advantage is that they unify the WA with the probability. Thus, the paper considers distance measures that include subjective and objective information in the same formulation.