Visualizing and mapping the project management research areas within the International Journal of Project Management: A bibliometric analysis from 1983 to 2018

The Project Management (PM) discipline has remained unchanged over decades, but the practice of this discipline has changed greatly in the last years. Bearing in mind that the PM as become a core activity for organizations and professionals, independently of their area of expertise, it is necessary to develop professional competencies for new project managers. In this way, there are different competency development models, including the ICB 4.0 model of the International Project Management Association (IPMA). Taking this into account, the current research conducts an intellectual and bibliometric analysis of the International Journal of Project Management (IJPM) from 1983 to 2018, in order to know the main research themes and see how these are related to the project management competencies. Finally, it provides a framework to support project managers in the development and direction of future researches identifying emerging, transversal, core and declining themes

The last five years of Big Data Research in Economics, Econometrics and Finance: Identification and conceptual analysis

Today, the Big Data term has a multidimensional approach where five main characteristics stand out: volume, velocity, veracity, value and variety. It has changed from being an emerging theme to a growing research area. In this respect, this study analyses the literature on Big Data in the Economics, Econometrics and Finance field. To do that, 1.034 publications from 2015 to 2019 were evaluated using SciMAT as a bibliometric and network analysis software. SciMAT offers a complete approach of the field and evaluates the most cited and productive authors, countries and subject areas related to Big Data. Lastly, a science map is performed to understand the intellectual structure and the main research lines (themes)

60 years of Business Intelligence: a Bibliometric Review from 1958 to 2017

Business Intelligence (BI) is being seen as a core activity in business, science, education or any field in which the use of intelligent software are vital to achieve their goals. The BI concept is also multidimensional, and it can be defined as a technology-driven process for analyzing data and presenting actionable information to support the organizational decisions. In this respect, the professionals involved in this area of knowledge are seeking to develop a culture of result orientation, focused on an effective decision-making and collaboration. Thus, the main aim of this contribution is to develop a bibliometric analysis to evaluate the performance and conceptual evolution of the authors and publications that are directly related to Business Intelligence

Bibliometric network to identify the intellectual structure and evolution of the big data research field

Big Data has evolved from being an emerging topic to a growing research area in business, science and education fields. The Big Data concept has a multidimen-sional approach, and it can be defined as a term describing the storage and analy-sis of large and complex data sets using a series of advanced techniques. In this respect, the researches and professionals involved in this area of knowledge are seeking to develop a culture based on data science, analytics and intelligence. To this end, it is clear that there is a need to identify and examine the intellectual structure, current research lines and main trends. In this way, this paper reviews the literature on Big Data evaluating 23,378 articles from 2012 to 2017 and offers a holistic approach of the research area by using SciMAT as a bibliometric and network analysis software. Furthermore, it evaluates the top contributing authors, countries and research themes that are directly related to Big Data. Finally, a sci-ence map is developed to understand the evolution of the intellectual structure and the main research themes related to Big Data

Visualizing and Mapping the Project Management Research Areas withing the International Journal of Project Management: A bibliometric analysis from 1983 to 2018

CONTEXT. Project Management has evolved from being an emerging topic to a growing research area in business, science and education fields. The Project Management concept has a multidimensional approach, and it can be defined as the practice of initiating, planning, executing, controlling, and closing the work of a team to achieve specific goals and meet specific success criteria at the specified time. The professionals involved in this area of knowledge are seeking to uncover the conceptual structure of a research area of interest are worth and necessary. OBJECTIVE. The main aim of this contribution is to develop a bibliometric analysis to evaluate the performance and conceptual evolution of the Project Management research themes from 1983 to 2018. SOFTWARE. The analysis is developed using SciMAT

Intelligence: origin, evolution and trends (Inteligencia: origen, evolución y tendencias)

In the knowledge economy era, information has become the main asset of organizations, regardless of their typology. In response to this scenario, organizations have opted for the active application of intelligence models based on knowledge of the cultural, social, political, business and technological environment from a holistic, dynamic and flexible point of view. This has favored the emergence of new approaches to Intelligence, which like the more traditional approaches, seek to collect, analyze, interpret and disseminate high value data and information at the right time for use in decision-making processes. However, this does not mean that organizations should assume that more traditional intelligence strategies continue to be viable, on the contrary, the "new rules of the game" are currently being defined and therefore we face completely radical changes. In this sense, it is necessary to review the origins of the concept of intelligence to capture the essence, analyze its evolution and consider trends, with the aim of rethinking and redesigning the concept of Intelligence from an integrative approach, regardless of the nuance or scope of application that our organizations are using. The idea of having a single framework of Intelligence adapted to the reality of the organizations will bring with it a greater diffusion of this discipline and a series of advantages for the organizations themselves. In order to achieve this, a detailed analysis of all existing publications in the literature is proposed through tools specialized in the treatment of large amounts of information. From this analysis, we will obtain the current picture of the concept of intelligence, its main lines of work and research, as well as short/medium term trends

Intelligence: origin, evolution and trends (Inteligencia: origen, evolución y tendencias)

In the knowledge economy era, information has become the main asset of organizations, regardless of their typology. In response to this scenario, organizations have opted for the active application of intelligence models based on knowledge of the cultural, social, political, business and technological environment from a holistic, dynamic and flexible point of view. This has favored the emergence of new approaches to Intelligence, which like the more traditional approaches, seek to collect, analyze, interpret and disseminate high value data and information at the right time for use in decision-making processes. However, this does not mean that organizations should assume that more traditional intelligence strategies continue to be viable, on the contrary, the "new rules of the game" are currently being defined and therefore we face completely radical changes. In this sense, it is necessary to review the origins of the concept of intelligence to capture the essence, analyze its evolution and consider trends, with the aim of rethinking and redesigning the concept of Intelligence from an integrative approach, regardless of the nuance or scope of application that our organizations are using. The idea of having a single framework of Intelligence adapted to the reality of the organizations will bring with it a greater diffusion of this discipline and a series of advantages for the organizations themselves. In order to achieve this, a detailed analysis of all existing publications in the literature is proposed through tools specialized in the treatment of large amounts of information. From this analysis, we will obtain the current picture of the concept of intelligence, its main lines of work and research, as well as short/medium term trends

La relación entre Inteligencia de Negocio e Inteligencia Competitiva: un análisis retrospectivo y bibliométrico de la literatura de 1959 a 2017

Nowadays, organizations are immersed in complex and variable but, above all, intense scenarios, in terms of production, demand and consumption of information. This, consequently, has led organizations to incorporate intelligence approaches into their strategy improving their competitiveness in an agile and flexible way through the definition, collection, analysis, exploitation and dissemination of information. Nevertheless, the complexity of scenarios and the diversity of the organizations themselves make it hard to have a unique intelligence model. This paper analyzes the documents hosted in Scopus from 1959 to 2017 about Business Intelligence and Competitive Intelligence -the most widespread intelligence approaches-, to identify the most representative thematic areas, their relationship, composition and evolution, with the aim of supporting researches and professionals on research, development with an hollistic intelligence approach. To this end, the performance of the main bibliometric indicators was evaluated and scientific maps of both intelligence approaches were produced.Actualmente, las organizaciones se encuentran inmersas en escenarios complejos y variables, pero sobre todo intensos en la producción, demanda y consumo de datos, información y conocimiento. Esto les ha llevado a desarrollar e incorporar modelos de inteligencia que mejoren su competitividad a través de la definición, recopilación, análisis, utilización y diseminación de información. No obstante, la complejidad de los escenarios y la diversidad de las organizaciones hace que no exista un modelo único de inteligencia, siendo la Inteligencia de Negocio e Inteligencia Competitiva los más difundidos y utilizados. En este sentido, este trabajo analiza los documentos disponibles en Scopus desde 1959 hasta 2017 sobre estos modelos, identificando las áreas temáticas más representativas, relaciones y evolución, estableciendo las bases para la integración de estos modelos bajo un mismo marco organizacional. Para ello, se ha evaluado su productividad y elaborado sus mapas científicos a través del uso de técnicas y herramientas bibliométricas

Research overview of hydrogen production from biomass: A bibliometric analysis of the research published during the 1979-2019 period

The purpose of this paper is to develop a conceptual analysis of hydrogen production from biomass research in literature by quantifying the main bibliometric performance indicators, identifying the main authors, countries, journals and research areas and evaluating the intellectual structure and evolution of the field using SciMAT as a bibliometric analysis software. In this way, the methodology implemented in this research encompasses both the bibliometric performance analysis and science mapping approaches of biomass-based hydrogen production research themes. The bibliometric performance analysis is centered on the citation-based impact of the scientific output, while science mapping illustrates the evolution of the research themes that build the field through the use of bibliometric network analysis techniques. The publications related to biomass-based hydrogen production research available at Scopus have been compiled between 1979 and 2019 (876 publications). Finally, the paper provides objective evidence of the evolution of the hydrogen production from biomass field, which confirms the interest that researchers have in this theme to develop new capabilities. Finally, it offers a framework to support researchers evaluating the field and, finally, to assist them in the development and direction of their future analysis identifying trends in terms of research

Mapping the intellectual structure of the International Journal of Computers Communications & Control: A content analysis from 2015 to 2019

International Journal of Computers Communications & Control (IJCCC) is an open access peer-reviewed journal publishing original research papers and it is considered by professionals, academics and researches as one of the main sources of knowledge in the integrated solutions in computer-based control and communications, computational intelligence methods and soft computing, and ad-vanced decision support systems fields. With this in mind, this research conducts a bibliometric performance and intellectual structure analysis of the IJCCC from 2015 to 2019. It provides a framework to support computer, communication and control researchers and professionals in the development and direction of future researches identifying core, transversal, emerging and declining themes. For this purpose, the IJCCC’s intellectual structure and thematic networks are analyzed according to the data retrieved from Web of Science Core Collection, putting the focus on the main research themes and its performance. Finally, this analysis has been developed using SciMAT, an open source (GPLv3) bibliometric software tool developed to perform a science mapping analysis under a longitudinal framework