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Professor Patrick Beautement
Edited by Eve Mitleton-Kelly, Alexandros Paraskevas and Christopher Day
Professor Alexandros Paraskevas
Birgit Schyns, Pedro Neves and Rosalie J. Hall
This volume provides an overview of a variety of established and newer methods for leadership research. It is intended for any individuals wanting to undertake research on leadership, whether they are academics or practitioners, undergraduates, graduate students working on a dissertation, or new or established professionals. It will be particularly useful for academics who want to try a new method and graduate students working on a dissertation who want an overview of what is out there. This book covers quantitative as well as qualitative methods but with a stronger focus on the former than the latter. Included are chapters focusing on measurement and design as well as analytical methods. All chapters outline a method and provide examples of how to apply the method to leadership research. It concludes with an overview of the future of leadership research.
G. Scott Erickson
Chapter 1 covers definitions and methods related to big data systems. Placing big data monitoring systems in the context of loyalty programs developed by Tesco/dunnhumby and Caesar’s, the discussion characterizes what big data is, how systems collect and share it, and how it is used to enhance day-to-day decision-making. Concepts like key performance indicators and action-oriented algorithms are included. Coverage then moves to more in-depth marketing analytics related to big data. Here, the marketing approaches of Spotify and Bloomberg are used to illustrate and explain how analysts cut the data in different ways looking for insights as well as conducting predictive and clustering analysis.