This state-of-the-art Handbook provides an overview of the role of big data analytics in various areas of business and commerce, including accounting, finance, marketing, human resources, operations management, fashion retailing, information systems, and social media. It provides innovative ways of overcoming the challenges of big data research and proposes new directions for further research using descriptive, diagnostic, predictive, and prescriptive analytics.<P><br/><br/>With contributions from leading academics and practitioners, the Handbook analyses how big data analytics can be used in different sectors, including detecting credit fraud in the financial sector, identifying potential diseases in health care, and increasing customer loyalty in the telecommunication sector. Chapters explore the use of artificial intelligence in accounting, the construction of successful data science ecosystems using the public cloud, and transformational models of personal data protection in the di
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This Handbook brings together experts in the field of leadership to provide insights into methods for leadership research. It serves to motivate them to use new research methods to further our knowledge of the leadership field.<P><P> Illustrating...
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<P><EM>The Routledge Handbook of Planning Research Methods</EM> is an expansive look at the traditions, methods, and challenges of research design and research projects in contemporary urban planning. Through case studies, an international...
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Secondary Data in Mixed Methods Research by Daphne C. Watkins, is the latest contribution to the Mixed Methods Research Series. This brief text offers step-by-step procedures for incorporating existing data into mixed methods research designs, as well...
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This Handbook expertly instructs the reader on how to conduct applied health research across a number of disciplines. Particularly aimed at postgraduate health researchers and students of applied health research, it presents and explains a wide range...
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