This book presents a challenging and multi-faceted research project that required state-of-the-art methodological approaches. The project involved analyzing data collected from 10,000 research articles published in ten leading journals in the area of educational technology over 20 years, from January 1994 to December 2014; advanced analytic approaches such as latent semantic analysis; and expert insights and interpretations of the subject matter. It captures the trends in a number of research streams within the discipline of educational technology and identifies the point in time when a massive change took place. This is a significant achievement given that, in epistemology and philosophy of science, there have always been discussions of paradigm shifts, but researchers have always identified them qualitatively. This is the first work to identify a paradigm shift using rigorous quantitative methods. The analysis procedure involved big data and sophisticated analysis, which supported the identification of clusters at several breakpoints from which the richest set was selected in order to provide the most detailed analysis. This comprehensive analysis also shows what has been published and by whom in those ten top-tier journals. This work makes a highly significant contribution to the field of learning technologies and provides the groundwork and a significant data source for other scholars, both new and experienced, to build on and expand in their work.

This book presents a challenging and multi-faceted research project that required state-of-the-art methodological approaches. The project involved analyzing data collected from 10,000 research articles published in ten leading journals in the area of educational technology over 20 years, from January 1994 to December 2014; advanced analytic approaches such as latent semantic analysis; and expert insights and interpretations of the subject matter. It captures the trends in a number of research streams within the discipline of educational technology and identifies the point in time when a massive change took place. This is a significant achievement given that, in epistemology and philosophy of science, there have always been discussions of paradigm shifts, but researchers have always identified them qualitatively. This is the first work to identify a paradigm shift using rigorous quantitative methods. The analysis procedure involved big data and sophisticated analysis, which supported the identification of clusters at several breakpoints from which the richest set was selected in order to provide the most detailed analysis. This comprehensive analysis also shows what has been published and by whom in those ten top-tier journals. This work makes a highly significant contribution to the field of learning technologies and provides the groundwork and a significant data source for other scholars, both new and experienced, to build on and expand in their work.

The Information Systems (IS) discipline was founded on the intersection of computer science and organizational sciences, and produced a rich body of research on topics ranging from database design and the strategic role of IT to website design and online consumer behavior. In this book, the authors provide an introduction to the discipline, its development, and the structure of IS research, at a level that is appropriate for emerging and current IS scholars. Guided by a bibliometric study of all research articles published in eight premier IS research journals over a 20-year period, the authors identify and present the top 51 IS research topics. For each topic, they provide a brief overview, time trends, and references to related influential research works. The topics are organized into an IS research framework that includes research on the IT artifact and IS development, IT and organizations, IT and individuals, IT and markets, and IT for teamwork and collaboration.