A. Rosário, Filipa Isabel de Almeida Fernandes Vilaça, R. Raimundo, Rui Cruz
Health care institutions (HCI in further text) are in constant interplay with their context, generating ensuing opportunities and threats. Knowledge management has been paramount when it comes to integrating state-of-art technologies in order to improve system efficiency and decision processes in hospital management outputs. Thus, it is pivotal to explain the role of knowledge management in hospital management. Research of peer-reviewed articles published from 2009 to 2019, and obtained via the Scopus database, was carried out based on two key subjects, ‘knowledge management’ and ‘health care institutions’. The research was performed through a descriptive, quantitative and qualitative analysis of the most cited 47 scientific articles found in the SCOPUS database. We conclude that 'knowledge management' (KM in further text) has become an important research area in terms of HCI management. The article identifies the central themes in KM research in HCI. However, the area on KM literature is highly fragmented, requiring development. Based on an analysis of the collected literature, we identified the key research themes and resulting development patterns, namely, the integration and interoperability of knowledge from different sources into a single platform, occupational safety, the need to ascertain quality and pertinent information among general web information, culture and social behaviour and data security. We posit that KM effectively facilitates the utilization of healthcare information resources and management decision making in hospitals.
{"title":"Literature review on Health Knowledge Management in the last 10 years (2009-2019)","authors":"A. Rosário, Filipa Isabel de Almeida Fernandes Vilaça, R. Raimundo, Rui Cruz","doi":"10.34190/EJKM.18.3.2120","DOIUrl":"https://doi.org/10.34190/EJKM.18.3.2120","url":null,"abstract":"Health care institutions (HCI in further text) are in constant interplay with their context, generating ensuing opportunities and threats. Knowledge management has been paramount when it comes to integrating state-of-art technologies in order to improve system efficiency and decision processes in hospital management outputs. Thus, it is pivotal to explain the role of knowledge management in hospital management. Research of peer-reviewed articles published from 2009 to 2019, and obtained via the Scopus database, was carried out based on two key subjects, ‘knowledge management’ and ‘health care institutions’. The research was performed through a descriptive, quantitative and qualitative analysis of the most cited 47 scientific articles found in the SCOPUS database. We conclude that 'knowledge management' (KM in further text) has become an important research area in terms of HCI management. The article identifies the central themes in KM research in HCI. However, the area on KM literature is highly fragmented, requiring development. Based on an analysis of the collected literature, we identified the key research themes and resulting development patterns, namely, the integration and interoperability of knowledge from different sources into a single platform, occupational safety, the need to ascertain quality and pertinent information among general web information, culture and social behaviour and data security. We posit that KM effectively facilitates the utilization of healthcare information resources and management decision making in hospitals.","PeriodicalId":37211,"journal":{"name":"Electronic Journal of Knowledge Management","volume":"18 1","pages":"338-355"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69826361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Andrey Sergeevich Mikhaylov, A. Mikhaylova, Vivek Singh, D. Hvaley
Knowledge is becoming a paramount resource of innovation economies. The efficient management of generation, use, accumulation and transfer of knowledge within a non‑linear innovation process plays a critical role in economic growth. Knowledge geography registers the uneven landscape of the national innovation system and captures the key excellence clusters at different hierarchical levels – from local nodes to cities and regions. While the spatial patterns of knowledge commercialization are primarily considered via production processes at the regional level (regional innovation systems, regional innovation clusters), knowledge generation has to be monitored and assessed at the level of cities. Urban settlements accommodate communities of people and a population of firms that form unique configurations of innovation ecosystems that sculpture the intellectual capital of regions and states. This paper presents the distribution of knowledge‑generating centres in Russia by undertaking an in‑depth evaluation of bibliometric data for 440 settlements across the country for a period of 2013‑2017. Methods of spatial scientometrics enable to register the intellectual capital accumulated in a certain locality and analyse development trajectories of urban settlements. Russia is an interesting case of studying the spatial patterns of knowledge generation. The large territorial extent of the country, the remoteness of individual cities from each other, their heterogeneity in size, level of development, and knowledge specialization makes it a highly diverse context. Research results suggest that knowledge domain characteristics are formed irrespective of the population figures, whereas the development dynamics of small and medium‑sized cities are specific. Smaller cities strive to be integrated into inter‑regional and international collaboration in order to overcome the shortage of local resources. A limited gross volume of research output generated by small and medium‑sized cities creates extreme indicator values as compared to the major cities and the national average. The study concludes with a typology of cities taking into account the specific features of knowledge generation dynamics.
{"title":"Knowledge Geography for Measuring the Divergence in\u0000 Intellectual Capital of Russia","authors":"Andrey Sergeevich Mikhaylov, A. Mikhaylova, Vivek Singh, D. Hvaley","doi":"10.34190/EJKM.18.02.003","DOIUrl":"https://doi.org/10.34190/EJKM.18.02.003","url":null,"abstract":"Knowledge is becoming a paramount resource of innovation economies. The efficient management of generation, use, accumulation and transfer of knowledge within a non‑linear innovation process plays a critical role in economic growth. Knowledge geography registers the uneven landscape of the national innovation system and captures the key excellence clusters at different hierarchical levels – from local nodes to cities and regions. While the spatial patterns of knowledge commercialization are primarily considered via production processes at the regional level (regional innovation systems, regional innovation clusters), knowledge generation has to be monitored and assessed at the level of cities. Urban settlements accommodate communities of people and a population of firms that form unique configurations of innovation ecosystems that sculpture the intellectual capital of regions and states. This paper presents the distribution of knowledge‑generating centres in Russia by undertaking an in‑depth evaluation of bibliometric data for 440 settlements across the country for a period of 2013‑2017. Methods of spatial scientometrics enable to register the intellectual capital accumulated in a certain locality and analyse development trajectories of urban settlements. Russia is an interesting case of studying the spatial patterns of knowledge generation. The large territorial extent of the country, the remoteness of individual cities from each other, their heterogeneity in size, level of development, and knowledge specialization makes it a highly diverse context. Research results suggest that knowledge domain characteristics are formed irrespective of the population figures, whereas the development dynamics of small and medium‑sized cities are specific. Smaller cities strive to be integrated into inter‑regional and international collaboration in order to overcome the shortage of local resources. A limited gross volume of research output generated by small and medium‑sized cities creates extreme indicator values as compared to the major cities and the national average. The study concludes with a typology of cities taking into account the specific features of knowledge generation dynamics.","PeriodicalId":37211,"journal":{"name":"Electronic Journal of Knowledge Management","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69825816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}