Producción Científica

 

 

The goal of this article is two-fold: (a) trace the evolution of marketing vis-à-vis theory and practice, and (b) investigate the relative contribution of the Journal of Business Research (JBR) to this evolution vis-à-vis the top 10 marketing journals. To do this, we conduct a bibliometric analysis of articles published in JBR between 2014 and 2024 (April). For the same period, we compare the performance of JBR with that of the top ten marketing journals. Our analysis allows us to (a) extend the contributions of Kerin (1996) and Kumar (2015) in tracing the evolution of marketing by identifying the predominant metaphor of the current phase of marketing as “marketing as an intelligent agent”, (b) identify prominent areas and clusters of marketing for JBR and the top ten marketing journals, (c) recognize JBR’s approach to the nature and type of theories used in its articles, and its approach in the use of special issues as its key contributions to the evolution of marketing, and (d) ascertain that JBR’s geographic distribution of the author affiliations, its higher tolerance to newer topics, and its higher level of risk appetite in its editorial choices are critical in determining how and why JBR differs in its evolution compared to the top ten marketing journals. We conclude by discussing the study’s implications on the future of the discipline and offer a research agenda.

 

 

Municipal solid waste (MSW) management has become a critical issue today, posing substantial economic, environmental, and social challenges. Identifying and analyzing dominant themes in this field is essential for advancing research and policies towards sustainable MSW management practices. This study aims to explore the key issues related to MSW management that have been addressed by both the scientific community and policymakers through funded projects. By doing so, the study seeks to guide the scientific community as a knowledge producer and the EU as a key funder. Two Latent Dirichlet Allocation (LDA) models were applied to analyze the themes from two corpora: one representing scientific literature and another focusing on EU-funded projects. Additionally, this analysis was complemented by a quantitative estimation of the similarity between the two corpora, providing a measure of alignment between the scientific community and policymakers. The results generally indicate that the two spheres are aligned and highlight the diversity of topics explored by the scientific community. Nevertheless, it is concluded that there are opportunities for further research on specific topics, such as leaching and the extraction of heavy metals. Additionally, the popularity of topics identified in European Union-funded projects has fluctuated considerably over time, focusing primarily on waste management rather than its prevention. In light of these findings, waste prevention emerges as a promising avenue for future EU-funded research initiatives.

 

 

Renewable hydrogen is widely considered a key technology to achieve net zero emissions in industrial production processes. This paper presents a structured bibliometric analysis, examining current and future applications of hydrogen as feedstock and fuel across industries, quantifying demand for different industrial processes, and identifying greenhouse gas emissions reduction potential against the context of current fossil-based practices. The findings highlight significant focus on hydrogen as feedstock for steel, ammonia, and methanol production and its use in high-to medium-temperature processes, and a general emphasis on techno-economic and technological evaluations of hydrogen applications across industries. However, gaps exist in research on hydrogen use in sectors like cement, glass, waste, pulp and paper, ceramics, and aluminum. Additionally, the analysis reveals limited attention in the identified literature to hydrogen supply chain efficiencies, including conversion and transportation losses, as well as geopolitical and raw material challenges. The analysis underscores the need for comprehensive and transparent data to align hydrogen use with decarbonization goals, optimize resource allocation, and inform policy and investment decisions for strategic deployment of renewable hydrogen.

 

 

Given the rapid development and widespread application of the cooperative economy, an in-depth understanding and continuous focus on its research has become necessary. This study utilizes bibliometric analysis tools, CiteSpace and Bibliometrix, along with visualization techniques, to systematically analyze the progression and trends in cooperative economy research. Each of these tools has its unique advantages and functionalities that supplement each other in the application of bibliometric analysis, enhancing the comprehensiveness and effectiveness of the research. The aim of this study is to reveal the core themes, knowledge structure, and academic influence of cooperative economy research, providing valuable insights and references for future studies. Furthermore, this study explores the application and combination of CiteSpace and Bibliometrix in bibliometric analysis, offering a new perspective for research methodology. The findings are anticipated to contribute to the further development of cooperative economy research, providing theoretical and practical references for the sustainable development of society and economy.

 

 

Over the past decade, Deep Learning (DL) techniques have demonstrated remarkable advancements across various domains, driving their widespread adoption. Particularly in medical image analysis, DL received greater attention for tasks like image segmentation, object detection, and classification. This paper provides an overview of DL-based object recognition in medical images, exploring recent methods and emphasizing different imaging techniques and anatomical applications. Utilizing a meticulous quantitative and qualitative analysis following PRISMA guidelines, we examined publications based on citation rates to explore into the utilization of DL-based object detectors across imaging modalities and anatomical domains. Our findings reveal a consistent rise in the utilization of DL-based object detection models, indicating unexploited potential in medical image analysis. Predominantly within Medicine and Computer Science domains, research in this area is most active in the US, China, and Japan. Notably, DL-based object detection methods have gotten significant interest across diverse medical imaging modalities and anatomical domains. These methods have been applied to a range of techniques including CR scans, pathology images, and endoscopic imaging, showcasing their adaptability. Moreover, diverse anatomical applications, particularly in digital pathology and microscopy, have been explored. The analysis underscores the presence of varied datasets, often with significant discrepancies in size, with a notable percentage being labeled as private or internal, and with prospective studies in this field remaining scarce. Our review of existing trends in DL-based object detection in medical images offers insights for future research directions. The continuous evolution of DL algorithms highlighted in the literature underscores the dynamic nature of this field, emphasizing the need for ongoing research and fitted optimization for specific applications.

 

 

The study of everyday life has garnered significant research attention in various disciplines. However, in the field of design history, the exploration of everyday life remains in its early stages. There is a need for further organization and analysis, as there is currently no comprehensive exposition on the overall research progress in this field. To address this gap, this paper employs bibliometric and knowledge graph methods to summarize the research progress in the design history of everyday life. By analyzing high-frequency keywords, thematic trends, citation networks, co-occurrence knowledge graphs, and burst keywords, we provide an objective evaluation of the development of the research perspective on everyday life in design history. The findings reveal an overall increasing trend in research efforts in the design history of everyday life, with a focus on Europe and America. The research in this field has evolved from philosophical explorations to disciplines such as history and anthropology, with interconnections between different directions. Prior to 2000, the emphasis was on the philosophical essence and fundamental theories of everyday life. From 2001 to 2010, there was a surge in psychological research and discussions on female topics within the design history of everyday life. In recent years, there has been a further expansion in the proportion of research on everyday life in the design history field, with more diverse dimensions of study. However, it is important to note that the research in the design history of everyday life is currently in a stage of conceptual understanding, with limited theoretical achievements. This paper not only provides a comprehensive overview of the current research progress but also presents an outlook on the research prospects in the design history of everyday life. It serves as a valuable resource for scholars and practitioners interested in advancing the understanding of the design history of everyday life.

 

 

In the face of global competition, it is imperative to conduct research on organizational identification in order to maximize employee commitment and organizational loyalty. Understanding how employees identify with their organizations can lead to improved productivity and retention rates. Organizational identification (OI) refers to an individual’s cognitive and affective connection to an organization. It exerts a significant impact on employee attitudes, behaviors, and job performance. It indicates an employee’s emotional bond, connectivity, and recognition with their company. This study aims to examine the impact of OI using bibliometric analysis and a literature review. Despite the topic’s wide use and coverage, the literature lacks quantitative data for bibliographic element analysis, making this study unique. This research fills that knowledge gap. We selected 227 research publications from the ABDC’s 2022 Quality Journals list, with A*, A, and B category journals for 2013 and 2022. The research methodologies employed encompassed trend analysis, scientific mapping, bibliographic coupling, co-occurrence analysis, and so on. Also, this study provides in-depth thematic analysis, content analysis, and a theoretical framework that contributes to the originality of the research. Our research findings offer bibliographic insights that enhance the study of literature. The study found that top journals are more interested in this topic. “Journal of Business Ethics” is very productive, whereas “Academy of Management Journal” holds the most influence. The study also highlights research gaps through quantitative and qualitative research. The study concluded by proposing further investigation and examining the consequences of its findings.

 

 

Background: The Aryl Hydrocarbon Receptor (AHR) is a transcription factor that regulates several biological processes. Its potential in anti-tumor immunotherapy is becoming clearer, yet no bibliometric studies on this topic exist. This study aims to understand the current research landscape and identify future directions through a bibliometric analysis of AHR’s anti-tumor immunological effects. Methods : We conducted a comprehensive bibliometric analysis of AHR antitumor immunotherapy papers in the Web of Science Core Collection. Various aspects of the publications were analyzed, and research hotspots and future trends were identified using scientific bibliometric tools and statistical methods. Results: We collected 592 English papers published between 2010 and 2023, with an almost annual increase. Most publications were from the USA, followed by China, Germany, and Italy. The journal “Frontiers in Immunology” had the most papers, and the most cited paper was Christiane A. Opitz’s “An endogenous tumour-promoting ligand of the human aryl hydrocarbon receptor.” The research is centered around AHR gene expression, with a growing focus on intestinal disease and the development of Programmed cell death ligand 1 (PD-L1) drugs. Conclusion: This bibliometric study highlights the significance of AHR in immunomodulatory research, outlining the research trends and key contributors. It suggests AHR’s immune effects may mediate the process of colitis cancer transformation, providing valuable insights for future anti-tumor immunotherapy strategies based on AHR.

 

 

Food safety incidents frequently occur in China and other countries. Food safety risk management has evolved from harm-based to risk-based approaches to control risks more scientifically and effectively. Risk assessment is at the core of risk control and provides a scientific basis for the development of risk management measures. Therefore, analyzing the research status and development trends of food safety risk assessment technologies and methods is important for improving food safety risk assessment and risk management. In this study, CiteSpace software was used to analyze a knowledge graph of popular research topics in the field of food safety risk assessment over the past 14 years, identify research keywords, and provide centrality statistics. Food safety risk assessments primarily focus on in vitro high-throughput testing, computational toxicology, predictive microbiology, mechanistic research, and other technical methods. In the future, international coordination, cooperation, and cross-integration of relevant disciplines should be strengthened, and research on and application of innovative technologies for food safety risk assessment should be promoted. Research on food safety risk assessment technologies and methods is in an active development stage and has good prospects for further exploration and application.

 

 

The expansion of the global agricultural sector has brought about significant environmental challenges, including greenhouse gas emissions, land degradation, and biodiversity loss. This study explores the nexus between fertilizer use and sustainability, framed within the circular economy principles, from a business management perspective. The primary objective is to map the current research landscape, identify key thematic areas, and suggest avenues for future research. A systematic literature review of 3026 articles from Scopus and Web of Science was conducted, with a bibliometric analysis revealing trends and thematic clusters. Five main thematic groups emerged: (i) greenhouse gas emissions (GHG) in agriculture, emphasizing the importance of mitigation strategies; (ii) sustainable agriculture and fertilizers, focusing on sustainable agricultural practices; (iii) waste-derived fertilizers, underscoring the responsible reuse of animal waste; (iv) agricultural production and productivity, highlighting efficient farming practices; and (v) environmental impact and conservation, assessing ecological impacts. From these, 50 articles were selected and classified according to sustainability dimensions and their integration with circular business models. The analysis of the Triple Bottom Line demonstrated a dominant environmental focus (77.1%), while economic and social dimensions still need to be explored. Circular economy practices were prevalent, remarkably “Regenerate” and “Optimize” from the ReSOLVE framework. Future research should focus on practical implementations, circular business model development, and comprehensive impact assessments. These findings offer crucial insights for advancing sustainable agricultural practices and minimizing the environmental footprint of fertilizer production and use.