scholarly journals A tudásérték meghatározása minőségügyi szempontból, hálózatelemzési módszerekkel (The knowledge value in terms of quality with network analysis methods)

2012 ◽  
pp. 55-62
Author(s):  
Tamás Csiszér ◽  
József Cziráki
Keyword(s):  
Network Analysis ◽  
Quality Management ◽  
Knowledge Network ◽  
Negative Effects ◽  
Knowledge Loss ◽  
Network Nodes ◽  
Core Elements ◽  
Value Production ◽  
Knowledge Value ◽  
Management Issues

A minőségügy egyik kulcsfeladata, hogy azonosítsa az értékteremtés szempontjából kritikus tényezőket, meghatározza ezek értékét, valamint intézkedjen negatív hatásuk megelőzése és csökkentése érdekében. Az értékteremtés sok esetben folyamatokon keresztül történik, amelyek tevékenységekből, elvégzendő feladatokból állnak. Ezekhez megfelelő munkatársak kellenek, akiknek az egyik legfontosabb jellemzője az általuk birtokolt tudás. Mindezek alapján a feladat-tudás-erőforrás kapcsolatrendszer ismerete és kezelése minőségügyi feladat is. A komplex rendszerek elemzésével foglalkozó hálózatkutatás eszközt biztosíthat ehhez, ezért indokolt a minőségügyi területen történő alkalmazhatóságának vizsgálata. Az alkalmazási lehetőségek rendszerezése érdekében a szerzők kategorizálták a minőségügyi hálózatokat az élek (kapcsolatok) és a csúcsok (hálózati pontok) típusai alapján. Ezt követően definiálták a multimodális (több különböző csúcstípusból álló) tudáshálózatot, amely a feladatokból, az erőforrásokból, a tudáselemekből és a közöttük lévő kapcsolatokból épül fel. A hálózat segítségével kategóriákba sorolták a tudáselemeket, valamint a fokszámok alapján meghatározták értéküket. A multimodális hálózatból képzett tudáselem-hálózatban megadták az összefüggő csoportok jelentését, majd megfogalmaztak egy összefüggést a tudáselem-elvesztés kockázatának meghatározására. _______ The aims of quality management are to identify those factors that have significant influence on value production, qualify or quantify them, and make preventive and corrective actions in order to reduce their negative effects. The core elements of value production are processes and tasks, along with workforce having the necessary knowledge to work. For that reason the task-resource-knowledge structure is pertinent to quality management. Network science provides methods to analyze complex systems; therefore it seems reasonable to study the use of tools of network analysis in association with quality management issues. First of all the authors categorized quality networks according to the types of nodes (vertices) and links (edges or arcs). Focusing on knowledge management, they defined the multimodal knowledge network, consisting of tasks, resources, knowledge items and their interconnections. Based on their degree, network nodes can be categorized and their value can be quantified. Derived from the multimodal network knowledge-item network is to be created, where the meaning of cohesive subgroups is defined. Eventually they proposed a formula for determining the risk of knowledge loss.

scholarly journals Visualization of clinical teaching citations using social network analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hakimeh Hazrati ◽  
Shoaleh Bigdeli ◽  
Seyed Kamran Soltani Arabshahi ◽  
Vahideh Zarea Gavgani ◽  
Nafiseh Vahed
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Research Collaboration ◽  
Clinical Teaching ◽  
Clustering Coefficient ◽  
Knowledge Network ◽  
Research Network ◽  
Centrality Measures ◽  
The Usa

Abstract Background Analyzing the previous research literature in the field of clinical teaching has potential to show the trend and future direction of this field. This study aimed to visualize the co-authorship networks and scientific map of research outputs of clinical teaching and medical education by Social Network Analysis (SNA). Methods We Identified 1229 publications on clinical teaching through a systematic search strategy in the Scopus (Elsevier), Web of Science (Clarivate Analytics) and Medline (NCBI/NLM) through PubMed from the year 1980 to 2018.The Ravar PreMap, Netdraw, UCINet and VOSviewer software were used for data visualization and analysis. Results Based on the findings of study the network of clinical teaching was weak in term of cohesion and the density in the co-authorship networks of authors (clustering coefficient (CC): 0.749, density: 0.0238) and collaboration of countries (CC: 0.655, density: 0.176). In regard to centrality measures; the most influential authors in the co-authorship network was Rosenbaum ME, from the USA (0.048). More, the USA, the UK, Canada, Australia and the Netherlands have central role in collaboration countries network and has the vertex co-authorship with other that participated in publishing articles in clinical teaching. Analysis of background and affiliation of authors showed that co-authorship between clinical researchers in medicine filed is weak. Nineteen subject clusters were identified in the clinical teaching research network, seven of which were related to the expected competencies of clinical teaching and three related to clinical teaching skills. Conclusions In order to improve the cohesion of the authorship network of clinical teaching, it is essential to improve research collaboration and co-authorship between new researchers and those who have better closeness or geodisk path with others, especially those with the clinical background. To reach to a dense and powerful topology in the knowledge network of this field encouraging policies to be made for international and national collaboration between clinicians and clinical teaching specialists. In addition, humanitarian and clinical reasoning need to be considered in clinical teaching as of new direction in the field from thematic aspects.

New JIT, New Management Technology Principle

2014 ◽  
Vol 13 (03) ◽  
pp. 197-222 ◽  
Author(s):  
Kakuro Amasaka
Keyword(s):  
Quality Management ◽  
Manufacturing Industry ◽  
Quality Management System ◽  
Software Systems ◽  
Total Production ◽  
Hardware System ◽  
Management Technology ◽  
Core Elements ◽  
Technical Principles ◽  
Control Principle

The aim of this paper is to reassess the way management technology was carried out in the manufacturing industry and establish "New JIT, New Management Technology Principle". New JIT contains hardware and software systems as the next generation technical principles for accelerating the optimization of work process cycles of all the divisions. The first item, the hardware system, consists of the Total Development System (TDS), the Total Production System (TPS), and the Total Marketing System (TMS), which are the three core elements required for establishing new management technology principles for sales, R&D, design, engineering, and production, among others. For the second item, the strategic quality management system, the author is proposing "Science TQM, New Quality Management Principle" incorporating "Science SQC, New Quality Control Principle". To realize manufacturing that places top priority on customers with a good Quality, Cost, and Delivery (QCD) in a rapidly changing technical environment, the author proposes a high linkage model, employing a structured "integrated triple management technologies system — Advanced TDS, Advanced TPS, and Advanced TMS" for expanding "uniform quality worldwide and production at optimumlocations".

scholarly journals Macroscale intrinsic network architecture of the hypothalamus

2019 ◽  
Vol 116 (16) ◽  
pp. 8018-8027 ◽  
Author(s):  
Joel D. Hahn ◽  
Olaf Sporns ◽  
Alan G. Watts ◽  
Larry W. Swanson
Keyword(s):  
Network Analysis ◽  
Network Architecture ◽  
Physiological Control ◽  
Comprehensive Description ◽  
Integrated Network ◽  
Gene Markers ◽  
Network Nodes ◽  
Primary Literature ◽  
Function Network ◽  
Regional Grouping

Control of multiple life-critical physiological and behavioral functions requires the hypothalamus. Here, we provide a comprehensive description and rigorous analysis of mammalian intrahypothalamic network architecture. To achieve this at the gray matter region (macroscale) level, macroscale connection (macroconnection) data for the rat hypothalamus were extracted from the primary literature. The dataset indicated the existence of 7,982 (of 16,770 possible) intrahypothalamic macroconnections. Network analysis revealed that the intrahypothalamic macroconnection network (its macroscale subconnectome) is divided into two identical top-level subsystems (or subnetworks), each composed of two nested second-level subsystems. At the top-level, this suggests a deeply integrated network; however, regional grouping of the two second-level subsystems suggested a partial separation between control of physiological functions and behavioral functions. Furthermore, inclusion of four candidate hubs (dominant network nodes) in the second-level subsystem that is associated prominently with physiological control suggests network primacy with respect to this function. In addition, comparison of network analysis with expression of gene markers associated with inhibitory (GAD65) and excitatory (VGLUT2) neurotransmission revealed a significant positive correlation between measures of network centrality (dominance) and the inhibitory marker. We discuss these results in relation to previous understandings of hypothalamic organization and provide, and selectively interrogate, an updated hypothalamus structure–function network model to encourage future hypothesis-driven investigations of identified hypothalamic subsystems.

Quality management issues

1993 ◽  
Vol 9 (1) ◽  
pp. 32-37 ◽  
Author(s):  
Lisa Lattal Ogorzalek
Keyword(s):  
Quality Management ◽  
Management Issues

Knowledge Network Analysis on Hallyu Research

2017 ◽  
Vol 61 (6) ◽  
pp. 318-353
Author(s):  
Seok-Kyeong Hong ◽  
Daemin Park ◽  
Sojeong Park
Keyword(s):  
Network Analysis ◽  
Knowledge Network

Quality management issues for PC-controlled calibration systems

2009 ◽  
Author(s):  
Alessio Carullo ◽  
Alessia Luoni ◽  
Alessandra Neri ◽  
Giuseppe La Paglia ◽  
Giulia Suriani
Keyword(s):  
Quality Management ◽  
Management Issues

Identifying diabetes knowledge network nodes as sites for a diabetes prevention program

2006 ◽  
Vol 12 (4) ◽  
pp. 449-464 ◽  
Author(s):  
Wilbert M. Gesler ◽  
Thomas A. Arcury ◽  
Anne H. Skelly ◽  
Sally Nash ◽  
April Soward ◽  
...  
Keyword(s):  
Prevention Program ◽  
Diabetes Prevention ◽  
Diabetes Prevention Program ◽  
Knowledge Network ◽  
Diabetes Knowledge ◽  
Network Nodes

scholarly journals SOME FEATURES ABOUT THE ISSUES OF QUALITY MANAGEMENT

2009 ◽  
Vol 1 (2) ◽  
pp. 4-7
Author(s):  
Vincentas Lamanauskas
Keyword(s):  
Quality Management ◽  
Key Words ◽  
Process Approach ◽  
Management Systems ◽  
Business Organizations ◽  
Quality Management Systems ◽  
Iso Standards ◽  
Key Words Quality Management ◽  
Management Issues

Recently the issues of quality management are becoming urgent in Lithuania. They are discussed and aspiration greatly improve the quality of activity in institutions of education are declared. But in the sphere of education the tendency to speak more than really work still remains. Many education organizations define quality as the major priority of their activity. But to declare or define is one thing and seek for that quality is another thing. The application of ISO standards in institutions of education still remains problematic. It is often tried to create own distinctive standards while ISO standards are acknowledged and applied on an international scale. It is understandable that institutions of education are specific and they rather differ from, let`s say, business organizations. Nevertheless, international ISO standards can and must be applied. Considering the process approach which is fixed in the ISO standards, every organization should effectively manage all occurring processes. Everything what happens in the processes later reflects in production or service in one way or another. According to this approach, the management of processes is rather complicated in organizations of education. The management of such processes, if it exists at all, is divided and fragmental. The application of statistical methods analyzing quality management issues in organizations of education is also problematic. It is undoubtedly that implement of quality management systems in organizations of education is especially urgent because it is a grave tool to basically improve the activity in all organizations of education. Key words: quality management, ISO standards, process approach,

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