Strategic Management, Decision Theory, and Decision Science

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About this book

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.

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Keywords

• Strategic Management
• Algorithmic Decision Theory
• Data Science
• Theory of Choice
• Theory of Constraints

Table of contents (17 chapters)

Front Matter

Sustaining High Economic Growth Requires a Different Strategy: An Integrated Approach for Broad-Based Knowledge Economy

• R. B. Barman

The Secretary Problem—An Update

• S. P. Mukherjee

Energy Efficiency in Buildings and Related Assessment Tools Under Indian Perspective

• Avijit Ghosh, Subhasis Neogi

A Multi-type Branching Process Model for Epidemics with Application to COVID-19 in India

• Arnab Kumar Laha

The Mirra Distribution for Modeling Time-to-Event Data Sets

• Subhradev Sen, Suman K. Ghosh, Hazem Al-Mofleh

Comparison of Local Powers of Some Exact Tests for a Common Normal Mean with Unequal Variances

• Yehenew G. Kifle, Bimal K. Sinha

Lower Bounds for Percentiles of Pivots from a Sample Mean Standardized by S, the GMD, the MAD, or the Range in a Normal Distribution and Miscellany with Data Analysis

• Nitis Mukhopadhyay

Intuitionistic Fuzzy Optimization Technique to Solve a Multiobjective Vendor Selection Problem

• Prabjot Kaur, Shreya Singh

Testing for the Goodness of Fit for the DMRL Class of Life Distributions

• Tanusri Ray, Debasis Sengupta

Linear Empirical Bayes Prediction of Employment Growth Rates Using the U.S. Current Employment Statistics Survey

• P. Lahiri, Bogong T. Li

Constrained Bayesian Rules for Testing Statistical Hypotheses

• K. J. Kachiashvili

Application of Path Counting Problem and Survivability Function in Analysis of Social Systems

• Tatsuo Oyama

Framework for Groundwater Resources Management and Sustainable Development of Groundwater in India

• Asok Kumar Ghosh

A New Generalized Newsvendor Model with Random Demand and Cost Misspecification

• Soham Ghosh, Mamta Sahare, Sujay Mukhoti

Analytics Approach to the Improvement of the Management of Hospitals

• Atsuo Suzuki

A Novel Approach to Estimate the Intrinsic Dimension of fMRI Data Using Independent Component Analysis

• Rajesh Ranjan Nandy

Data Science, Decision Theory and Strategic Management: A Tale of Disruption and Some Thoughts About What Could Come Next

• Federico Brunetti

Editors and Affiliations

Indian Statistical Institute, Kolkata, India

University of Burdwan, Barddhamān, India

About the editors

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).

Bibliographic Information

• Book Title : Strategic Management, Decision Theory, and Decision Science
• Book Subtitle : Contributions to Policy Issues
• Editors : Bikas Kumar Sinha, Srijib Bhusan Bagchi
• DOI : https://doi.org/10.1007/978-981-16-1368-5
• Publisher : Springer Singapore
• eBook Packages : Business and Management , Business and Management (R0)
• Copyright Information : The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
• Hardcover ISBN : 978-981-16-1367-8 Published: 01 September 2021
• Softcover ISBN : 978-981-16-1370-8 Published: 02 September 2022
• eBook ISBN : 978-981-16-1368-5 Published: 31 August 2021
• Edition Number : 1
• Number of Pages : XIII, 280
• Number of Illustrations : 17 b/w illustrations, 41 illustrations in colour
• Topics : Operations Research/Decision Theory , Business Strategy/Leadership , Statistics for Business, Management, Economics, Finance, Insurance , Game Theory, Economics, Social and Behav. Sciences , Economic Theory/Quantitative Economics/Mathematical Methods , Data Structures and Information Theory