This book is designed for a first course in research and statistical methods in computing and does not assume the student has previous knowledge of the subject. Research Methods for Information Systems shows how to apply research and statistical methods to the current problems faced in a variety of fields, but with special emphasis on computer science and information systems. It takes a non-threatening approach to the subject, avoiding excessive mathematics and abstract theory, and includes numerous exercises and examples to ensure the students understand the relevance of research methodology applications. Throughout the text, lead articles, examples and exercises provide students with actual instances of various research methods, including implementation driven research, mathematical proof techniques, empiricism, and observational research. This diversity in research methods in the computing fields is due to the fact that topics in the disciplines of computer science and information systems are technologically based rather than theory-driven logic. The author also exposes students to qualitative and mixed research methods. This is extremely important since within information systems there has been a general shift in information system research away from technological studies, toward more managerial and organizational issues. Research method topics covered and summarized include proposal formulation, research design, methods of investigation, methods of demonstrating concepts, approaches to research validation and documentation of research results.
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