Research Methodology: From Philosophy of Science to Research Design distinguishes itself from many other works devoted to research methodology and the philosophy of science in its integrated approach towards scientific research, which is regarded as the scientific project on all levels–from philosophy of science to research design. This work studies the basics of the methodology of scientific research and the organization of scientific activity from the viewpoint of systems science and system analysis.
The book discusses the basics of the methodology including philosophical, psychological, epistemological and ethical/aesthetical foundations, the characteristics of scientific activity, including principles of scientific cognition, the means and methods of scientific research, the organization of a research implementation process and its chronological structure and finally, the organization of a collective scientific research design.
The work should be of interest to researchers, students and professionals in the fields of systems science, cybernetics, systems engineering, philosophy of science and project management, as well as to specialists of applied activity in the fields of operations research, programming, mathematical modeling of decision-making in organizations and economics.
Introduction; 1 Foundations of Research Methodology; 2 Characteristics of Scientific Research Activity; 3 Means and Methods of Scientific Research; 4 Organization of Scientific Research; 5 Organization of Collective Scientific Research; Conclusion. Appendix The Role of Science in Modern Society.
Communications in Cybernetics, Systems Science and Engineering is a cross-disciplinary book series devoted to theoretical and applied research contributions to cybernetics, systems science and engineering. The series aims to publish the highest quality monographs and edited volumes on the most recent advances and innovative applications in the relevant areas of investigation, catering to a rapidly growing worldwide interest in a cybernetic and systemic methodology with an ever-increasing capacity to deal with new challenges in a way that traditional science cannot. The CCSSE series aims to become a comprehensive theoretical, practical, international, multi- and interdisciplinary database of, reference work on and guide to issues in these fields of research and the strategies required for better implementation in the context of environmental protection and sustainable social and economic development. Communications in Cybernetics, Systems Science and Engineering aims at all working in the theoretical and applied fields of cybernetics, systems science and engineering, e.g. academics, researchers and consultants in cybernetics and systems, computer and information scientists, development and systems engineers, mathematicians, librarians, management cyberneticists and systemists, medical scientists, educators, and intelligent and manufacturing engineers in industry. It will also be of interest to leading decision- and policy-makers.
Michael C. Jackson, University of Hull, UK
Jerzy Jozefczyk, Wroclaw University of Technology, Poland
Doncho Petkov, Eastern Connecticut State University, USA
Vladimir Tsurkov, Russian Academy of Sciences, Russia
Shouyang Wang, Chinese Academy of Sciences, P.R. China
The principal areas covered by the Communications in Systems Science and Engineering series include, but are not limited to:
1) All fields of systems research, cybernetics and the interdisciplinary study of cybernetics and systems in the widest sense, such as: Artificial intelligence • Automation and robotics • Biocybernetics • Complex and fuzzy systems • Computer simulation • Cross-disciplinary problem-solving • Cybernetics/systems analysis modeling and simulation • Ecosystems • Information theories • Interrelations between cybernetics/systems and other sciences • Management cybernetics and systems (including soft systems methodology, Ackoff’s interactive planning, Churchman’s theory of inquiring systems, and other approaches) • Natural language • Philosophy of cybernetics and systems • Theoretical and experimental knowledge of various categories of systems, such as adaptive, anticipatory, autopoietic, cellular, chaotic, dynamic, economic and social, hierarchical, immune-like, intelligent, knowledge-based, learning, neural, quantum, self-organizational, self-producing and self-referential;
2) All areas of systems engineering and the spectrum of engineering activity, decision-making, management of products and services, and processes of all types. Focused on comprehensive approaches to practical applications and developments of "hard" and "soft" systems and cybernetic methodologies, including, but not limited to: Cognitive ergonomics • Conceptual architecture • Configuration management during system development • Decision-making • Environmental policy • Human-machine interaction • Identification of user requirements and technological specifications • Integration of new systems with legacy systems • Integrated product and process development • Issue formulation analysis and modeling • Modeling of uncertainty, maintenance over an extended lifecycle and re-engineering of systems • Multicriteria decision-making • Numerical simulation and qualitative modeling of complex systems • Risk assessment and safety • Sustainable development • System identification, operational test and evaluation • Systems analysis, engineering processes and methods such as optimization, modeling and simulation • Trade-off of design concepts.
ADVISORY EDITORIAL BOARD
C.L. Philip Chen, University of Macau, P.R. China
Zengru Di, Beijing Normal University, P.R. China
Raul Espejo, Syncho Ltd. and World Organization of Systems and Cybernetics, UK
Keith W. Hipel, University of Waterloo, Canada
Baoding Liu, Tsinghua University, China
Nagendra Nagarur, State University of New York at Binghamton, USA
John Pourdehnad, University of Pennsylvania, USA
Brian Howard Rudall, Institute of the World Organisation of Systems and Cybernetics and Bangor University, UK
Rudolf Scheidl, Johannes Kepler University of Linz, Austria
Markus Schwaninger, Institute of Management, University of St. Gallen, Switzerland