Decision Science

Authors

Vijayakumar P

Rani C

Published

Feb 20, 2024

Welcome

This book bridges the gap between decision science theory and its real-world applications, focusing on the mechanics of choice, decision-making dynamics, and tools to improve these processes.

Beginning with an introduction to decision science, it explores rationality, decision theory, and decision analysis. Topics like utility theory, structured problem-solving, multi-criteria decision-making, and predictive modeling follow, along with discussions on behavioral factors, game theory, and cognitive biases. The book also addresses ethical considerations in decision-making, especially in the digital age, and emphasizes the role of data analytics in decision-making frameworks.

This comprehensive approach serves students, professionals, academics, and researchers by providing both theoretical insights and practical guidance on making informed, ethical decisions in today’s data-driven world.

About the Authors

Vijayakumar P is an accomplished educator and data professional with over eight years of teaching and research experience in business analytics, data science, and HR analytics. He is a UGC Junior Research Fellow (JRF) and has qualified the UGC NET and SET in Management multiple times, reflecting his strong academic foundation.

Proficient in Python, R, STATA, SPSS, AMOS, PLS-SEM, Tableau, Power BI, Google Looker Studio, GitHub, and Excel , he has guided students and professionals in transforming data into actionable insights. His teaching spans business analytics using R and Python, HR metrics and dashboards, business forecasting, and business research methods, and he has also developed interactive eBooks to enhance hands-on learning.

Vijayakumar’s work is marked by clarity, precision, and innovation—whether in research, classroom teaching, or applied analytics—making data more accessible, impactful, and meaningful for decision-making.

Rani C is a skilled HR analytics professional with expertise in a wide range of tools and technologies, including R, SPSS, Tableau, Power BI, and Excel. Her proficiency in data visualization tools allows her to transform complex data into actionable insights, making her a key contributor to data-driven decision-making processes.

Rani is known for her ability to analyze and interpret HR data effectively, helping organizations optimize their workforce strategies. Her expertise in both analytical techniques and visualization empowers her to provide clear, impactful insights that drive organizational performance and strategic HR initiatives.

Reference books

  1. Smart Choices: A Practical Guide to Making Better Decisions by John S. Hammond, Ralph L. Keeney, Howard Raiffa.