Knowledge Management Practices in the Public Sector

Knowledge Management Practices in the Public Sector

Release Date: December, 2019|Copyright: © 2020 |Pages: 263
DOI: 10.4018/978-1-7998-1940-0
ISBN13: 9781799819400|ISBN10: 179981940X|ISBN13 Softcover: 9781799819417|EISBN13: 9781799819424
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Description & Coverage
Description:

The public sector provides services to the public and does not expect to acquire financial gain; hence, the practices from the private sector could not be used efficiently without modification, bearing in mind that the main scope of the public organization is to provide quality services to the citizens. Knowledge management can acquire and transfer knowledge in order to succeed in this effort and to confront challenges that exist in the modern knowledge economy. Therefore, knowledge management can play a vital role in the reorganization of the public sector and its necessary organizational change.

Knowledge Management Practices in the Public Sector is a collection of innovative research on the methods and applications of improving the quality of public services through the implementation of knowledge management in public organizations. While highlighting topics including intellectual capital, risk assessment, and organizational strategy, this book is ideally designed for policymakers, ICT consultants, public sector workers, public administrators, government officials, researchers, scholars, and students.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • E-Government
  • Intellectual Capital
  • Knowledge Sharing
  • Knowledge Transfer
  • Management Science
  • Multicriteria Decision Making
  • Organizational Strategy
  • Risk Assessment
  • Social Capital
  • Social Value
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Editor/Author Biographies
Vasileios Ismyrlis holds a position of Statistician at Greek Statistical Authority (EL.STAT) since the April of 2014. He had also been an administrative employee for eleven years, in the social insurance institute IKA-ETAM. He has also a two-years experience in a bank and an experience of teaching financial and statistical lessons in vocational post-secondary education and in universities. He graduated with a degree in “Statistics and Insurance sciences” from the University of Piraeus. His postgraduate studies are in the field of “Quality Assurance”. He obtained his Ph.D. in “Quality management and Multidimensional statistics”, from the Department of Business Administration of the University of Macedonia, Greece. He had authored eighteen journal articles and conference proceedings publications. Mr. Ismyrlis’ current research interests include: Multidimensional statistics, Applied statistics, Social statistics, Biostatistics, Human resources management, Quality management, Time series. He has fluency in the written and spoken English language and an adequate knowledge of French.
Theodore Tarnanidis is a researcher in the Business Administration Department at the University of Macedonia. He finished his postdoctoral research at the University of Macedonia, in November 2015, in the area of sustainable entrepreneurship. He obtained a Ph.D. from the University of London Met., UK. He received his M.B.A. from Liverpool University, UK and is a graduate from the University of Macedonia (Business Administration) and Alexander Technological Educational Institute (Marketing). His research focuses on Decision-Making Processes in Sustainable Innovations and Entrepreneurship, Conjoint Models and preference measurement techniques, modelling of purchases and consumer behavior. His work has been published in various internationally renowned scientific conferences and journals mostly from the fields of Business Administration.

Efstratios Moschidis is a Teaching and Research fellow in University of Macedonia. He holds a Ph.D .in Computer Science (Data mining and web Information Systems), with a MSc in Network Computing and Electronic Commerce(Electrical and Computer Engineering AUTH). He holds a BSc degree in Applied Informatics (University of Macedonia) and has conducted post-doctoral research on Big Data. He has taught computer science courses as Adjunct Lecturer in the University of Macedonia. He has participated in European research projects. His research interests include multivariate analysis, data mining, data analytics, web applications.

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