Employee well-being and innovativeness: A multi-level conceptual framework based on citation network analysis and data mining techniques.

This study proposes a multilevel conceptual framework for a deeper understanding of the relationship between employee well-being and innovativeness. We overview 49 years of well-being research [1972-2021] and 54 years of research on innovativeness [1967-2021] to uncover 24 dominant themes in well-being and ten primary topics in innovativeness research. Citation network analysis and text semantic similarity were used to develop a conceptual framework featuring 21 components and three levels: individual, organizational, and market. These components consist of constructs, domains, and factors that can influence or be influenced by employee well-being and innovativeness either directly or indirectly. This is the first study to use citation network analysis and data mining techniques to investigate the relationship between employee well-being and innovativeness. This novel framework can aid organizations in identifying more holistic and efficient strategies for fostering innovativeness and enhancing the well-being of their workforce. It can also assist in developing new theories and serve as a roadmap for future research. We discuss the research limitations and theoretical and practical implications and propose three research themes that future studies may address.

Exploring Topics in Bibliometric Research Through Citation Networks and Semantic Analysis.

This article surveys topic distributions of the academic literature that employs the terms bibliometrics, scientometrics, and informetrics. This exploration allows informing on the adoption of those terms and publication patterns of the authors acknowledging their work to be part of bibliometric research. We retrieved 20,268 articles related to bibliometrics and applied methodologies that exploit various features of the dataset to surface different topic representations. Across them, we observe major trends including discussions on theory, regional publication patterns, databases, and tools. There is a great increase in the application of bibliometrics as science mapping and decision-making tools in management, public health, sustainability, and medical fields. It is also observed that the term bibliometrics has reached an overall generality, while the terms scientometrics and informetrics may be more accurate in representing the core of bibliometric research as understood by the information and library science field. This article contributes by providing multiple snapshots of a field that has grown too quickly beyond the confines of library science.

Exploration of Shared Themes Between Food Security and Internet of Things Research Through Literature-Based Discovery.

This paper applied a literature-based discovery methodology utilizing citation networks and text mining in order to extract and represent shared terminologies found in disjoint academic literature on food security and the Internet of Things. The topic of food security includes research on improvements in nutrition, sustainable agriculture, and a plurality of other social challenges, while the Internet of Things refers to a collection of technologies from which solutions can be drawn. Academic articles on both topics were classified into subclusters, and their text contents were compared against each other to find shared terms. These terms formed a network from which clusters of related keywords could be identified, potentially easing the exploration of common themes. Thirteen transversal themes, including blockchain, healthcare, and air quality, were found. This method can be applied by policymakers and other stakeholders to understand how a given technology could contribute to solving a pressing social issue.

The Academic Landscapes of Manufacturing Enterprise Performance and Environmental Sustainability: A Study of Commonalities and Differences.

This article reviews literature on manufacturing enterprise performance (MEP) and environmental sustainability (ES) to identify their commonalities and distinguishing factors; it is expected to help determine gaps and paths for future research. Topics are classified based on patterns in the citation networks of 7308 and 6275 MEP and ES articles, respectively. Additionally, a semantic linkage was computed to reveal overlap in vocabulary between the two topics. A total of 17 and 21 topics were found in MEP and ES, respectively, where the main shared theme was the green supply chain. However, research on biofuels is unique to ES, and privatization is unique to MEP, among others. The concept of "performance" has also been covered by MEP and ES researchers. This article provides an objective snapshot of current research trends based on quantitative data, and the findings may be used to guide future research directions at the intersection of MEP and ES.

Collaborative Patterns, Productivity, and Research Impact in the Careers of Star Researchers in a Japanese Semiconductor Company.

This study analyzes how characteristics in the careers of star researchers affect the outcomes of research and development (R&D), based on a case study in a Japanese semiconductor company. By analyzing the collaboration network of patent coinventors in the company, we observe that long-term exposition and collaboration with other high-achieving researchers play a significant role in determining a successful career, that is, in terms of productivity and impact. Also, a deeper exploration of the characteristics of a selected group of star researchers in a company's R&D division helped to identify that it takes 10-15 years to generate remarkable achievements in the form of filing patents that are widely cited at a later stage. This period is followed by low productivity, thereby revealing productivity peaks such as those observed in the artistic and scientific careers but at different times. Industry researchers tend to follow a more fixed pattern. Additionally, we analyzed the influence of having star researchers in coinventor teams. Our results suggest that staying aligned in one research direction, long-term exposure to a diverse group of researchers, and early mentorship helped the researchers in our study to attain their achievements.

La microalbuminuria como factor pronóstico en un grupo de pacientes hipertensos de una entidad de primer nivel de atención de Manizales (Colombia), 2010 / The microalbuminuria as factor prognosis in a group of hypertense patients of an entity of 1º level of attention of Manizales (Colombia), 2010

Objetivos: Determinar el valor de la microalbuminuria en un grupo de pacientes hipertensos. Materiales y métodos: Se estudiaron pacientes inscritos en el programa de vigilancia y control de la hipertensión arterial de ASSBASALUD ESE (Manizales, Colombia), clasificados como de riesgo bajo y moderado. Se diseñó un estudio transversal para el análisis de los factores de riesgo asociados: dislipidemia, obesidad, diabetes mellitus, infarto agudo de miocardio relacionándolos con los niveles de microalbuminuria encontrados en la investigación. Resultados: El estudio se hizo con 86 pacientes hipertensos (76,7% mujeres). En 16,7% (Ic95%: 9,4-26,45) de ellos los niveles de microalbuninuria se encontraron alterados. Las cifras halladas estuvieron entre 95,1mg/dl, valor máximo, y una cifra mínima de 0,1mg/ dl. El valor promedio fue de 11,77mg/dl. En 34,9% de los pacientes se registraron antecedentes patológicos, en 74,2% el antecedente fue dislipidemia y obesidad en el 32% de los casos. 64% de los pacientes tenían antecedentes familiares patológicos, hipertensión arterial en el 30,9% e infarto del miocardio en el 16,4%. Se encontró relación significativa entre microalbuminuria y el valor de índice de masa corporal (p=0,028). Conclusiones: La frecuencia de microalbuminuria positiva relacionada con dislipidemia fue similar a la obtenida en otros estudios. Se encontró una elevada prevalencia de microalbuminuria alterada en pacientes con dislipidemia. La frecuencia de microalbuminuria anormal encontrada en la población estudiada indica presencia de riesgo cardiovascular.

Objective: To determine the value of microalbuminuria in a group of hypertensive patients. Materials and methods: Patients subscribed to the arterial-hypertension monitor and control program of ASSBASALUD E.S.E. (Manizales, Caldas) where studied. The patients were classified as low and moderate risk. And a cross-sectional study was designed for the analysis of the associated risk factors: dyslipidemia, obesity, diabetes Mellitus, acute myocardial infarction relating these factors with the microalbuminuria values found during the investigation. Results: The study was made with 86 hypertensive patients (76.7% women). In 16,7% the levels of microalbuminuria where abnormal. The found values had as maximum 95,1 mg/dl, and minimum 0,1 mg/dl with an average of 13,58 mg/dl. 34.9% of the patients registered pathological antecedents, in 74.2% the antecedent was dislipidemia and in 32% obesity. 64% of the patients had pathological family antecedents, 30% arterial hypertension and 16.4% myocardial infarction. A significant relation was found between the MA and the body mass index (p=0.028). Conclusions: The frequency of microalbuminuria related to dyslipidemia was similar to that obtained in other studies. A high prevalence was found of altered microalbuminuria in patients with dyslipidemia. The frequency of abnormal microalbuminuria found in the studied population indicates the presence of cardiovascular risk factor.