Strategic Management, Decision Theory, and Decision Science

Contributions to Policy Issues
1. Auflage 2021
ISBN: 978-981-16-1367-8
Verlag: Springer Nature Singapore

Buch, Englisch, 280 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 612 g

This book contains international perspectives that unifies the themes of strategic management, decision theory, and data science. It contains thought-provoking presentations of case studies backed by adequate analysis adding significance to the discussions. Most of the decision-making models in use do take due advantage of collection and processing of relevant data using appropriate analytics oriented to provide inputs into effective decision-making. The book showcases applications in diverse fields including banking and insurance, portfolio management, inventory analysis, performance assessment of comparable economic agents, managing utilities in a health-care facility, reducing traffic snarls on highways, monitoring achievement of some of the sustainable development goals in a country or state, and similar other areas that showcase policy implications. It holds immense value for researchers as well as professionals responsible for organizational decisions.

Zielgruppe

Research

Autoren/Hrsg.

Bagchi, Srijib Bhusan

Sinha, Bikas Kumar

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Management Strategisches Management
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Entscheidungstheorie, Sozialwahltheorie
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Mathematik | Informatik Mathematik Operations Research
• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Wirtschaftstheorie, Wirtschaftsphilosophie
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
• Wirtschaftswissenschaften Betriebswirtschaft Management Entscheidungsfindung

Inhaltsverzeichnis

Sustaining High Economic Growth Requires a Different Strategy: An Integrated Approach for Knowledge Economy.- The Secretary Problem—An Update.- Energy Efficiency in Buildings and Related Assessment Tools Under Indian Perspective.- The Mirra Distribution for Modeling Time-to-Event Data Sets.

Über Autor(innen)

Professor Bikas K Sinha has been publishing with Springer since 1989 and has to his credit both monographs and edited volumes (including three in Lecture Notes Series in Statistics on optimal designs -- Vol. 54 (1989), Vol. 163 (2002) and Vol. 1028 (2014)), not to mention contributed chapters and articles in journals. As an academic he has been affiliated with Indian Statistical Institute Kolkata, and has travelled extensively within USA, Canada and Europe for collaborative research and teaching assignments. His publications span both statistical theory and applications and he has more than 120 research articles published in peer-reviewed journals. He has also served in the Editorial Board of statistical journals including Sankhya, Journal of Statistical Planning and Inference and Calcutta Statistical Association Bulletin. He has served Government of India as a Member of National Statistical Commission for the 3-year term [2006-2009]. He was appointed an ‘Expert on Mission’ for the United Nations-funded Workshop on Survey Methodology in 1991.  Of late, he was awarded Centenary Medal of Excellence by the School of Tropical Medicine, Kolkata.
Prof. Srijib Bhusan Bagchi retired from the University of Burdwan. Subsequently he joined the Department of Mathematics, Bethune College Kolkata as Jyostnamoyee Dey Professor of Actuarial Science. He also served Aliah University as Professor in the Department of Statistics and Informatics. He was an Emeritus Professor of the University of Engineering and Management, Kolkata. He published more than forty papers in reputed journals and conferences and a book of Statistics. His research interest includes reliability theory, SQC, social networks and Sampling Theory. Currently he is the Chairman of Indian Association for Productivity, Quality and Reliability (IAPQR).