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G. Scott Erickson

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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.

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Edited by Mellani Day, Mary C. Boardman and Norris F. Krueger

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Mellani Day, Mary C. Boardman and Norris F. Krueger

The introduction to this handbook presents an overview of issues that will be introduced in the rest of the chapters with respect to the nascent field of neuroentrepreneurship. Entrepreneurship researchers have begun to investigate brain-based research methods; however, hurdles such as a lack of familiarity with and training in neuroscience research design and implementation, along with interpretation of reactions in the brain to stimuli in laboratory experiments, has prevented any wide-scale adoption of these methods. Initial questions that neuroscientists wrestle with, and that those who would focus on brain-based research should consider, such as philosophical stance on brain versus mind and causation, are addressed.

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Edited by Mellani Day, Mary C. Boardman and Norris F. Krueger

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Cyrine Ben-Hafaïedh and Thomas M. Cooney

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Edited by Cyrine Ben-Hafaïedh and Thomas M. Cooney

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Patrizia Hoyer, Chris Steyaert and Julia C. Nentwich