Strategic Management, Decision Theory, and Decision Science : Contributions to Policy Issues
Strategic Management, Decision Theory, and Decision Science : Contributions to Policy Issues
edited by Bikas Kumar Sinha, Srijib Bhusan Bagchi
- 1st ed. 2021.
- 1 recurso en línea
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.
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.
9789811613685
10.1007/978-981-16-1368-5 doi
T57.6-.97 / 2021 EB
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.
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.
9789811613685
10.1007/978-981-16-1368-5 doi
T57.6-.97 / 2021 EB