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This guide helps graduate students work with Design Science Research (DSR) methodology. DSR is used in technology research to bring solutions to problems and add to the knowledge base. The information in this guide has excellent resources for students to get started in DSR.
Consolidating existing knowledge in Design Science, this book proposes a new research method to aid the exploration of design and problem solving within business, science and technology. It seeks to overcome a dichotomy that exists in the field between theory and practice to enable researches to find solutions to problems, rather than focusing on the explanation and exploration of the problems themselves. Currently, researches concentrate on to describing, exploring, explaining and predicting phenomena, and little attention is devoted to prescribing solutions. Herbert Simon proposes the need to develop a Science of the Artificial (Design Science), arguing that our reality is much more artificial than natural. However, the research conducted on the Design Science premises has so far been scattered and erratic in different fields of research, such as management, systems information and engineering. This book aims to address this issue by bringing these fields together and emphasising the need for solutions. This book provides a valuable resource to students and researchers of research methods, information systems, management and management science, and production and operations management.
Stephen Van Evera greeted new graduate students at MIT with a commonsense introduction to qualitative methods in the social sciences. His helpful hints, always warmly received, grew from a handful of memos to an underground classic primer. That primer evolved into a book of how-to information about graduate study, which is essential reading for graduate students and undergraduates in political science, sociology, anthropology, economics, and history - and for their advisers. -How should we frame, assess, and apply theories in the social sciences? "I am unpersuaded by the view that the prime rules of scientific method should differ between hard science and social science. Science is science." -A section on case studies shows novices the ropes. -Van Evera contends the realm of dissertations is often defined too narrowly "Making and testing theories are not the only games in town.... If everyone makes and tests theories but no one ever uses them, then what are they for?" -In "Helpful Hints on Writing a Political Science Ph.D. Dissertation," Van Evera focuses on presentation, and on broader issues of academic strategy and tactics. -Van Evera asks how political scientists should work together as a community. "All institutions and professions that face weak accountability need inner ethical rudders that define their obligations in order to stay on course."
In today’s globalized world, viable and reliable research is fundamental for the development of information. Innovative methods of research have begun to shed light on notable issues and concerns that affect the advancement of knowledge within information science. Building on previous literature and exploring these new research techniques are necessary to understand the future of information and knowledge. The Handbook of Research on Connecting Research Methods for Information Science Research is a collection of innovative research on the methods and application of study methods within library and information science. While highlighting topics including data management, philosophical foundations, and quantitative methodology, this book is ideally designed for librarians, information science professionals, policymakers, advanced-level students, researchers, and academicians seeking current research on transformative methods of research within information science.
This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.
Research Methods for Graduate Business and Social Science Students is a. fundamental and easy guide to studying research methods. In addition to the general. concepts relating to research methods, broad research issues and theoretical concepts. critical to research are discussed. The book is written in a lucid style and contains. examples and helpful practical exercises at the end of each chapter to reinforce. and enjoy learning.
Research Methods for Business and Social Science Students aims to present a clear discussion of the research methods employed in various disciplines related to our daily life problems. The theoretical basis of research methods is explained clearly and succinctly. Collecting data is a key part of the book and this includes both qualitative and quantitative methods of data collection, along with the advantages and disadvantages of each method. The book also describes in clear terms how students can analyse data, interpret results and link these to the literature review and hence their own contribution. It sets out a range of fundamental ideas in research methods, such as deductivism and inductivism, and explains why methodology is not the same as method. In this second edition every chapter has been re-written to be more readable and also to include more examples. The authors have also added a real student research proposal and a multiple-choice test with answers for the readers to test their own understanding of the ideas in the book. The book has been designed to illustrate research tools in a clear and accessible manner through chapters on such topics as formulating research, research design, data analysis and writing up the research results.
This book integrates social science research methods and the descriptions of 46 univariate, bivariate, and multivariate tests to include a description of the purpose, assumptions, example research question and hypothesis, SPSS procedure, and interpretation of SPSS output for each test. Included throughout the book are various sidebars highlighting key points, images and SPSS screenshots to assist understanding the material presented, self-test reviews at the end of each chapter, a decision tree to facilitate identification of the proper statistical test, examples of SPSS output with accompanying analysis and interpretations, links to relevant web sites, and a comprehensive glossary. Underpinning all these features is a concise, easy to understand explanation of the material.
This book addresses the science of artificial and design theory in the context of the scientific research development environment. The author discusses the concepts, activities and techniques associated with the emerging methodology Design Science Research (DSR). Further, he examines the main challenges for its implementation, based on an analysis of the DSR literature, variations of DSR (i.e. Action Design Research, and Grounded Design), and the applicability of DSR in various disciplines related to innovation, both within and outside of the professional school. As a result, this book goes beyond conceptual issues of DSR, presenting and discussing more pragmatic issues and challenges faced by researchers. Design Science Research Methodology offers researchers in a variety of disciplines an examination of the various phases of scientific research development and communication.