Pervez N. Ghauri

Srinivas Prasad

The terrorist attacks of September 11, 2001, ushered in an age of anxiety along with the new century, an anxiety that has affected the international business climate in a variety of subtle and not-so-subtle ways. For one, the cost of doing business internationally has increased, for global firms and host countries alike. For another, understanding shifting geopolitical conditions in the developing world has become more crucial than ever to grasp if the world's multinationals—whether of American, British, European, or Japanese origin—are to take the best advantage of new market opportunities. These market opportunities are well within the experience range and grasp of the multinational consumer product and industrial firms as well as service enterprises. But the same corporate methodologies that were employed in decades past are unlikely to be sufficient for the age of anxiety that is upon us. The contributions assembled here offer the benefits of the collective wisdom of mature scholars with decades of consulting experience along with fresh ideas and new research hypotheses.

Global Firms and Emerging Markets in an Age of Anxiety

Subhendu Kumar Pani

Sunil Kumar Dhal

Sudhir Kumar Mohapatra

BIG DATA ANALYTICS AND MACHINE INTELLIGENCE IN BIOMEDICAL AND HEALTH INFORMATICS Provides coverage of developments and state-of-the-art methods in the broad and diversified data analytics field and applicable areas such as big data analytics, data mining, and machine intelligence in biomedical and health informatics. The novel applications of Big Data Analytics and machine intelligence in the biomedical and healthcare sector is an emerging field comprising computer science, medicine, biology, natural environmental engineering, and pattern recognition. Biomedical and health informatics is a new era that brings tremendous opportunities and challenges due to the plentifully available biomedical data and the aim is to ensure high-quality and efficient healthcare by analyzing the data. The 12 chapters in??Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics??cover the latest advances and developments in health informatics, data mining, machine learning, and artificial intelligence. They have been organized with respect to the similarity of topics addressed, ranging from issues pertaining to the Internet of Things (IoT) for biomedical engineering and health informatics, computational intelligence for medical data processing, and Internet of Medical Things??(IoMT). New researchers and practitioners working in the field will benefit from reading the book as they can quickly ascertain the best performing methods and compare the different approaches. Audience Researchers and practitioners working in the fields of biomedicine, health informatics, big data analytics, Internet of Things, and machine learning.

Srinivas Prasad

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