Efecto en la gestión de innovación como ventaja competitiva empresarial: Revisión de literatura desde tendencias actuales

In this article, the process and results of a literature search using a new proposed scientific literature search tool (ToS: Tree of Science) aimed at partially overcoming the need to search in different databases was used. In its present form, ToS needs, as input, a previous search in the Web of Science (WoS), and by means of all references used in the articles found in the WoS search, it selects the more significant items, classifying them into three categories: root, trunk and leaves. In our example, from an initial total sum of 164 hits found in WoS, ToS provided 90 items. The following fields of these two results were put together in an Excel sheet for elimination of repetitions and further consideration: title, authors, source, year of publication and DOI (Digital Object Identifier). Then, the titles of the articles were read and graded by the three authors (a senior researcher, a junior researcher, and a PhD student) as 0 (of no interest for the topic), 1 (of possible interest) or 2 (of interest). The marks were added up and those with a score > 3 (56) were selected for the abstracts to be read by the PhD student to establish a final student’s own selection (SoS) of articles for initiating the review of the literature on her topic of interest.

Innovative entrepreneurship is highly significant for fostering new opportunities that add value to businesses and society; it is a field of study that necessitates regular monitoring of the state of the art. This paper aims to conduct a bibliometric analysis of innovative entrepreneurship to identify its intellectual structure and research trends, sourcing literature from Scopus and Web of Science (WoS) to conduct a bibliometric analysis. Researchers applied the Tree of Science (ToS) algorithm to discern an intellectual structure by drawing an analogy with roots, trunk, and branches, retrieving 1654 documents from Scopus and 680 from WoS, amounting to 1 795 non-duplicate documents; they observed a growing trend in scientific production, complemented by findings regarding countries, journals, authors, and their collaboration networks. Three significant trends emerged in the analysis using ToS: 1) Strategic Entrepreneurship, Digital Transformation, and Higher Education; 2) Technology as a Keystone in Entrepreneurial Innovation Ecosystems; and 3) Public Policy and Innovation Dynamics in Entrepreneurial Development. Researchers concluded that innovative entrepreneurship remains an inexhaustible field requiring further research development.

In a globalized economy, innovation is a priority of ensuring the competitive advantage and organizational performance of agile companies, competitiveness being the core of the development in any economic activity. Consequently, the purpose of this research is to provide an overview regarding the connections between four main constructs, respectively innovation management, competitive advantage, agility and organizational performance, through performing a bibliometric analysis by using the VOSviewer visualization tool. The information has been selected from the Web of Science Core Collection database (WoS) during February 2023. This preliminary study aims to grant relevance to the potential research areas prone to be exploited when discussing the matter of innovation management in relation to organizational performance, competitive advantage achievement and agility. The main premise is that every company has its particularities and acts accordingly to stay competitive through innovating its business model and through an articulate innovation management, also encompassing agility, with a view to reach organizational performance and strong competitive advantage. In terms of findings, the bibliometric analysis conducted confirms the existence of compelling relationships between constructs, thus supporting further scrutiny in this direction.

In the conditions of a high level of development of information systems based on technologies of distributed data processing, the use of artificial intelligence, Big Data and intelligent data analysis, the process of creating management reporting is a complex analytical toolkit that allows accountants to create reports with the necessary indicators in various formats, according with different time parameters and different level of detail based on the generalization and analysis of data from multiple internal and external sources. The article aims to improve the theoretical and methodological aspects of the formation of management reporting on the innovative capital of the enterprise. The author formulated and substantiated the procedure for the formation of management reporting on the innovative capital of the enterprise, which consists of three main directions: 1) Improvement of the system of the enterprise's management accounting objects; 2) Application of management accounting methods to the innovative capital of the enterprise; 3) Improvement of management reporting on the enterprise's innovative capital. Approaches to understanding management reporting in modern conditions of the development of information and computer technologies are highlighted and analyzed. The study results show that management reporting on innovation capital broadly is a set of specialized internal reports and other forms of presentation, visualization, and transfer of internal information (information panels, dashboards of individual indicators) about innovative activity to persons who make management decisions. It was found that the specifics of the innovative activity of enterprises and the use of various approaches to the organization of its management systems (models and methods of decision-making by innovative management) make it impossible to develop a single standardized form of management reporting on innovative capital. The article describes the mechanisms for setting up and using the enterprise's management reports from the basic set available in the BAS ERP information system ("Management balance sheet", "Revenues and expenses", "Financial results", standard reports) to disclose relevant information about the enterprise's innovative activities for the needs and requests of innovative management. A General Report on the "Innovative Balanced Scorecard" and a dashboard for the "Return on Investment in Innovation (ROII)" indicator in the BSC Designer software product have been developed for business entities.

Purpose This study aims to comprehensively analyze the intersection of technology management and innovation management amidst the fourth industrial revolution, uncovering evolving trends and influential contributors. Design/methodology/approach Using the Bibliometrix R-package, this pioneering research conducts a bibliometric analysis to delve into innovation and technology management literature, quantifying scholarly output and identifying thematic breakthroughs. Findings The study reveals quantitative insights into the progression of innovation and technology management research, offering guidance on evolving trends, thematic breakthroughs and influential contributors. Practical implications The findings offer valuable insights for practitioners and managers, guiding them through emerging trends and recommending a dual focus on fundamental principles and emerging areas for strategic decision-making. Social implications By fostering active engagement with evolving trends, this research contributes to the ongoing technology and innovation management discourse, potentially leading to societal benefits and advancements. Originality/value This study pioneers an in-depth bibliometric analysis at the intersection of innovation and technology management, offering unique insights and quantitative assessments of scholarly output and thematic trends, thus adding significant value to the existing literature.

Upgrading health reality is the responsibility of all, it is necessary to think about the design of a smart system based on modern technologies to reduce the time and effort exerted on the competent authorities in both health and environmental sectors furthermore making their work environment smart and easy to enable the creativity and innovation as well as to reduce the material costs granted by state of this case “environment.” The process to find a solution for the problem of a triangle as shown in Figure (1) with contradictory heads is a very important and difficult issue in the field of health and environment, these are: (to optimize time utilization, and minimize the human errors, that accompany this human effort as much as possible, and to reduce material costs). Therefore, the idea of Internet technology and the Intelligent Big Data Analysis was developed to design an integrate electronic system of hardware to be developed in different and specific locations to collect information on concentrations that cause air pollution. So, it was invested an idea of Internet of things technology and intelligent data analysis ("Internet of things" and "Intelligent Data Analysis") for the construction of an integrated system of Hardware entities and Software entities placed. The aim of this work is to build a programmable system capable of predicting the pollutant concentrations within the next 48 h called intelligent forecaster of concentrations caused air pollution (IFCsAP) and making the machine the primary source of information after these concentrations are collected and stored in real time. On this basis, we will rely on modern technologies to reach this goal. The proposed design is highly efficient, cost-effective and easy to use and can be deployed in all places (environment with concentrations of air pollution). The main objective of the proposed system is to issue periodic reports (within 48 h of the future) based on the information input from different stations in real time. These reports are issued based on the readings of sensors planted at each station. Each sensor has a measurement of one or more concentrations that cause air pollution. Designed system consists of three basic phases: the construction phase of an integrated electronic circuit consisting of several devices (Modern, LoRa, Waspmate Platform, Arduino, Five sensors).

Organic coffee (OC) cultivation, known for its environmental advantages and potential economic value, is this article's focal point; because of the limited literature available, the objective is to pinpoint research trends in OC production to advance the sector's socioeconomic development. A bibliometric analysis was conducted by searching Scopus and Web of Science, while the Tree of Science (ToS) algorithm was applied to reveal the field's intellectual structure and current research trends, identifying a total of 360 scientific documents, reflecting a growing interest in various aspects of organic coffee; This article provides significant insights into the evolution of scientific production, the countries involved, prominent journals, authors, and their collaborative networks. Three key trends emerged: 1) Fair trade and gender equality, 2) Certifications and sustainability, and 3) Sustainable agroecological strategies. In conclusion, this study underscores the need for further research into various facets of organic coffee production, especially in countries where poverty alleviation and value creation are paramount.

Innovation Management has obtained so much consideration in functioning of management science field from the previous few years. Both Managers and academicians seem to be examining the nature of innovation and its significance for the development of an organization and competitive advantage (Lopes et al.,2016). Many research scholars have accepted positive effects of innovation towards an organization and we can find some research studies conducted on it in the past few years. Through this systematic review of past literature, this research study is an attempt to enhance the knowledge of the subject and to present the extensive analysis of the past research studies. The analysis of this study was conducted to see the trend of publications between the years 1970 to 2019; it used authors, journals, countries, universities/research institutions and different keywords related to innovation management as search words. After using multiple filters for removing irrelevant researches, 2160 research articles were examined. According to results of the study number of publications increased after 2008. Therefore, it is assumed that the annual publications will continue to increase. USA & Germany have higher rate of research publications and UK has strong international collaborations. Variables such as innovative activity, innovative management, total innovation management, management innovation and innovation development are the most common terms used in research of innovation management. Some variables with infrequent occurrences, as well as future recommendations and limitations of the study were also examined.

Tree of Science (ToS) is a scientific literature search tool that produces a small, selected list of citations from a larger pool of citations. Initially developed for searches in the Web of Science, this paper shows how to use it with bibliographic data from Scopus. This new Shiny web application analyzes data from Scopus. It processes a dataset from a Scopus search and creates three reports. The first one shows a descriptive analysis, the second one presents the Tree of Science of the search, and the third one presents a clustering analysis of the three main subtopics. The application is accessible from this link: https://coreofscience.shinyapps.io/scientometrics/.

Tree of Science (ToS) is a scientific literature search tool that produces a small, selected list of citations from a larger pool of citations. Initially developed for searches in the Web of Science, this paper shows how to use it with bibliographic data from Scopus. This new Shiny web application analyzes data from Scopus. It processes a dataset from a Scopus search and creates three reports. The first one shows a descriptive analysis, the second one presents the Tree of Science of the search, and the third one presents a clustering analysis of the three main subtopics. The application is accessible from this link: https://coreofscience.shinyapps.io/scientometrics/.

Purpose - ArticleThis paper presents and discusses the impact of an innovation implemented by leadership on the sustainability of an organization which is taken from mapping through biblometric analysis. In order to compete with other organizations, organizations must have innovation and be innovative in looking for new ideas or breakthroughs. In fact, there have been many studies related to management innovation. But here we are interested in examining how much researchers who conduct innovation management research directly related to leadership use bibliometric analysis through VOSViewer.
 Design/methodology/approach - We use a bibliometric method and review related to Innovation and Leadership management. We obtained the data source for the bibliometrics through the Scopus database.
 Findings and Discussion – The results of research with mapping using the keyword "Management Innovation" show two clusters. In the first cluster there are 2 interrelated elements, namely study and innovation which are closely related to the innovation itself. In the second cluster there is only Development related to innovation. Innovation Connectivity between clusters can be seen through the nodes. The bigger the node, the higher the frequency of occurrence.
 Conclusion - The study can be concluded that Innovation Management and Leadership are very closely related. It has been proven that in the last 2 years there have also been many studies highlighting management innovation but most of them have researched management innovation in the education sector. In addition, Innovation Management also ranks first on the vosviuwers search page. The citations used for research also reach thousands in the article. Articles on innovation management also reach hundreds of articles published annually by various studies.

Purpose This study aims to investigate the intersection of supply chain management (SCM) and big data analytics (BDA) through a multidimensional approach that incorporates bibliometric and network analysis (BNA) and a systematic literature review (SLR). Design/methodology/approach BNA and SLR are academic research methods, each with distinct purposes and limitations. BNA manages large datasets, while SLR focuses on smaller ones for in-depth review. As of January 2023, we analysed 851 articles retrieved from the Web of Science (WoS) core collection via BNA. To mitigate against BNA's limitations, we performed an SLR of 194 articles in 2023–2024, unveiling new themes in the “BDA in SCM” domain that were not apparent through BNA alone. Findings The findings demonstrate global collaboration patterns, highlighting China's lead in publications but lower international engagement than the USA's. BDA and the emerging discipline of supply chain resilience are closely interlinked; Industry 4.0 intertwines with sustainability and circular economy (CE) themes, and both are contributions that have been underexplored in previous reviews. Future studies will explore how BDA and other digital technologies enhance Supply Chain Ambidexterity by improving information processing in uncertain environments. Healthcare 4.0 technologies – specifically BDA, AI and Blockchain – boost efficiency, innovation, and risk management. However, the full potential of an intelligent Food Supply Chain (IFSC) lies in the integration of AI-driven systems, BDA and advanced analytics – a step that is still in its early stages. Originality/value Big data analytics in supply chain management is a rapidly evolving research domain without a review paper since 2020 and with more than 500 papers published in 2021–2022. Our novel methodology of supplementing BNA with an SLR allows us to capture newer or niche contributions in the domain of big data analytics in supply chain management. This approach sets the study apart, ensuring insights into the field's current state and future directions. Integrating quantitative (BNA) and qualitative (SLR) approaches provides a well-rounded perspective on the field.

The paper deals with the analysis of the linking between country image and level of economic security. The studies confirmed that ongoing tendency on world competitiveness justified considering direct and indirect dimensions which influence on the country’s economic security. The authors generalised the factors which affected the economic security of the country. The finding proved that one of the significant indirect parameters is the country image. The authors analysed and summarised the most appropriate definitions of country brand and image. The authors analysed the frequency of country brand and image in the scientific paper. The paper aimed to identify the scientific clusters on the investigation of economic security and the country’s brand. The study used the bibliometric analysis using software VOSviewer, Web of Science and Scopus Tools Analysis. The data of analysis was obtained from the scientific database Scopus and Web of Science for 1991-2019 years. For the analysis, the papers were selected as the criteria as follows: English language; published for 1991-2019 years; contained the keywords brand, image, county and security. The results of the analysis proved that the paper which used the term “country image” is more than “country brand” in Scopus and Web of Science. The findings from the Web of Science and Scopus Tools Analysis confirm the hypothesis on the increasing tendency of publishing activities papers which focused on the analysis of security and country’s image. The visualising of co-authorship by country allowed identifying that the 50% papers published by the scientists with the American, Ukrainian, Canadian, Spanish and Russian affiliations. The VOSviewer results allowed identifying two significant scientific clusters as follows: country image and economic security. Besides, between the two most significant cluster were as mediators: governance, nation branding, developing countries and environment. Besides, analysing the new publication for 2015-2019 years, the most cited papers on economic security connected with analysis not only quantitively economic parameters but also with political, sustainable development and country’s image. The bibliometric analysis formed the background for checking the casual relationship between image and economic security of the country. Keywords bibliometric analysis, brand, brand management, country brand, VOSviewer.

The purpose of this paper is to conduct a systematic literature review on regional smart specialisation strategies, through a bibliometric and systematic analysis, combining performance analysis and scientific mapping to detect and visualise the concurrent subdomains and their evolution over time, pointing out future lines of research. The methodology of this systematic review is based on three phases: (1) database search, (2) bibliometric analysis, and (3) systematic analysis. In the first phase, the PRISMA protocol is used and publications are obtained from the Web of Science and Scopus databases. In the bibliometric analysis, the performance analysis and scientific mapping are carried out, using the R Studio software (version 4.02), using the biblioshiny with the bibliometrix package. The systematic analysis is based not only on the results obtained in the bibliometric analysis, but also on the methodological and content information taken from the publications. This article analyses and relates four clusters—knowledge, policy, innovation, specialization—indicated by the strategic diagram and trend topics, and 15 ‘themes’: policy, innovation, knowledge, priorities, systems, institutions, entrepreneurial discovery process, diversification, related variety, clusters, multi-level governance, helix model, competitive advantage, geography, and six critical questions. The paper systematizes the literature, filling a gap on the experience gained from the implementation of these strategies in the regional, addressing the critical questions and challenges that have arisen during their implementation in this context.

This study aims to examine the combination of educational data mining and learning analytics with virtual reality, augmented reality, mixed reality, and the metaverse, its role in education, and its impact on teaching and learning. Therefore, a systematic literature review, a bibliometric and scientific mapping analysis, and a content analysis are carried out based on 70 relevant documents identified from six databases, namely, ACM, ERIC, IEEE, ScienceDirect, Scopus, and Web of Science (WoS) following the PRISMA framework. The documents were separated into the following three categories, (i) Theoretical and Review studies, (ii) Proposal and Showcase studies, and (iii) Experimental and Case studies and were examined from different dimensions through an in-depth content analysis using both quantitative and qualitative approaches. The documents were further analyzed using scientometric tools, such as Bibliometrix and VOSviewer and topic modeling through Latent Dirichlet Allocation (LDA). The most prominent topics, areas, and themes were revealed and the outcomes regarding the influence of this combination on learning and teaching were summarized. Based on the results, this combination can effectively enrich education, positively affect learning and teaching, offer deep and meaningful learning, and support both students and teachers. Additionally, it can support different educational approaches and strategies, various learning styles, and special education and be utilized in both formal and informal learning environments. The real-time identification, tracking, monitoring, analysis, and visualization of multimodal learning data of students’ behavior, emotions, cognitive and affective states and the overall learning and teaching processes emerged as a significant benefit that contributes greatly to the realization of adaptive and personalized learning. Finally, it was revealed that the combination of extended reality technologies with learning analytics and educational data mining can support collaborative learning and social learning, improve students’ self-efficacy and self-regulated learning, and increase students’ learning gains, academic achievements, knowledge retention, motivation, and engagement.