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Data-driven decision making
~
Poulose, Jeanne.
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Data-driven decision making
Record Type:
Electronic resources : Monograph/item
Title/Author:
Data-driven decision making/ edited by Jeanne Poulose, Vinod Sharma, Chandan Maheshkar.
other author:
Poulose, Jeanne.
Published:
Singapore :Springer Nature Singapore : : 2024.,
Description:
xxiv, 313 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:
Chapter 1: A Framework for Mining of Text Data with the Application of Side Information -- Chapter 2: Developing a framework for career in AI, ML and Data Science -- Chapter 3: Do You Have an AI Mindset? Development and Validation of AI Mindset Questionnaire -- Chapter 4: Data Mining and Business Intelligence Trends -- Chapter 5: Strategic Data Analytics for Sustainable Competitive Advantage -- Chapter 6: HR Analytics: An indispensable tool for effective Talent Management -- Chapter 7: Developing a system for the application of analytics in the process of determination of capability and maturity of Higher Educational institute for improving student outcomes -- Chapter 8: Measurement Model of Co-Po Attainment in Higher Education- A Simplified Approach -- Chapter 9: Generational Cohort Analysis to purchase Fashion Products in India -- Chapter 10: Changing the Role of Retailing using Pricing Analytics -- Chapter 11: Death of an Industry: An Exploratory View on Block Chain and Analytics making U.S. Mortgage Title insurance extinct -- CHAPTER 12: Impact of Cognitive Heuristic and Emotional Bias on Investment Decision of Individuals in Tamil Nadu -- CHAPTER 13: Application of Artificial Intelligence on Smart Tourism Eco Space - An Integrated Approach Post-Covid-19 Era -- Chapter 14: Will Societies Accept Cryptocurrency as a Medium of Exchange?.
Contained By:
Springer Nature eBook
Subject:
Decision making. -
Online resource:
https://doi.org/10.1007/978-981-97-2902-9
ISBN:
9789819729029
Data-driven decision making
Data-driven decision making
[electronic resource] /edited by Jeanne Poulose, Vinod Sharma, Chandan Maheshkar. - Singapore :Springer Nature Singapore :2024. - xxiv, 313 p. :ill. (some col.), digital ;24 cm.
Chapter 1: A Framework for Mining of Text Data with the Application of Side Information -- Chapter 2: Developing a framework for career in AI, ML and Data Science -- Chapter 3: Do You Have an AI Mindset? Development and Validation of AI Mindset Questionnaire -- Chapter 4: Data Mining and Business Intelligence Trends -- Chapter 5: Strategic Data Analytics for Sustainable Competitive Advantage -- Chapter 6: HR Analytics: An indispensable tool for effective Talent Management -- Chapter 7: Developing a system for the application of analytics in the process of determination of capability and maturity of Higher Educational institute for improving student outcomes -- Chapter 8: Measurement Model of Co-Po Attainment in Higher Education- A Simplified Approach -- Chapter 9: Generational Cohort Analysis to purchase Fashion Products in India -- Chapter 10: Changing the Role of Retailing using Pricing Analytics -- Chapter 11: Death of an Industry: An Exploratory View on Block Chain and Analytics making U.S. Mortgage Title insurance extinct -- CHAPTER 12: Impact of Cognitive Heuristic and Emotional Bias on Investment Decision of Individuals in Tamil Nadu -- CHAPTER 13: Application of Artificial Intelligence on Smart Tourism Eco Space - An Integrated Approach Post-Covid-19 Era -- Chapter 14: Will Societies Accept Cryptocurrency as a Medium of Exchange?.
This book delves into contemporary business analytics techniques across sectors for critical decision-making. It combines data, mathematical and statistical models, and information technology to present alternatives for decision evaluation. Offering systematic mechanisms, it explores business contexts, factors, and relationships to foster competitiveness. Beyond managerial perspectives, it includes contributions from professionals, academics, and scholars worldwide, delivering comprehensive knowledge and skills through diverse viewpoints, cases, and applications of analytical tools. As an international business science reference, it targets professionals, academics, researchers, doctoral scholars, postgraduate students, and research organizations seeking a nuanced understanding of modern business analytics. Dr. Jeanne Poulose is an Associate Professor of Management at the School of Business and Management, CHRIST (Deemed to be University), Delhi NCR, India. She has an MBA, M. Phil, and PhD in Management. She has around 22 years of Industry-Academic experience in the retail, banking, and educational sectors. She teaches Organisational Behaviour, HR Metrics and Analytics, Agile HR and IHRM. Dr. Vinod Sharma, an Associate Professor of Management at Symbiosis Centre for Management and Human Resource Development (SCMHRD) in Pune, boasts 23 years of rich experience spanning academia and industry. His diverse management roles equip him to excel as both a researcher and instructor. Dr. Sharma's expertise lies in Marketing Research & Analytics, Marketing Strategy, and Consumer Behaviour. With over 85 authored papers and 3 completed international projects, he's a prolific academician. Additionally, he has facilitated numerous management development programs for prestigious organizations such as IOC, NIBSCOM, MSME, and FIEO. Dr. Chandan Maheshkar has 14 years of experience in management education and research. He is associated with several management institutes in central India including the University of Indore in various capacities. As a Senior Consultant, he has served the Centre for Internal Quality Assurance (CIQA), Madhya Pradesh Bhoj (Open) University, Bhopal, India. In 2014, the University of Indore awarded him the Golden Jubilee Research Scholarship. Business education, HRD, and Cross-Culture Business are his core areas of research interests.
ISBN: 9789819729029
Standard No.: 10.1007/978-981-97-2902-9doiSubjects--Topical Terms:
517204
Decision making.
LC Class. No.: HD30.23
Dewey Class. No.: 658.403
Data-driven decision making
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Chapter 1: A Framework for Mining of Text Data with the Application of Side Information -- Chapter 2: Developing a framework for career in AI, ML and Data Science -- Chapter 3: Do You Have an AI Mindset? Development and Validation of AI Mindset Questionnaire -- Chapter 4: Data Mining and Business Intelligence Trends -- Chapter 5: Strategic Data Analytics for Sustainable Competitive Advantage -- Chapter 6: HR Analytics: An indispensable tool for effective Talent Management -- Chapter 7: Developing a system for the application of analytics in the process of determination of capability and maturity of Higher Educational institute for improving student outcomes -- Chapter 8: Measurement Model of Co-Po Attainment in Higher Education- A Simplified Approach -- Chapter 9: Generational Cohort Analysis to purchase Fashion Products in India -- Chapter 10: Changing the Role of Retailing using Pricing Analytics -- Chapter 11: Death of an Industry: An Exploratory View on Block Chain and Analytics making U.S. Mortgage Title insurance extinct -- CHAPTER 12: Impact of Cognitive Heuristic and Emotional Bias on Investment Decision of Individuals in Tamil Nadu -- CHAPTER 13: Application of Artificial Intelligence on Smart Tourism Eco Space - An Integrated Approach Post-Covid-19 Era -- Chapter 14: Will Societies Accept Cryptocurrency as a Medium of Exchange?.
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This book delves into contemporary business analytics techniques across sectors for critical decision-making. It combines data, mathematical and statistical models, and information technology to present alternatives for decision evaluation. Offering systematic mechanisms, it explores business contexts, factors, and relationships to foster competitiveness. Beyond managerial perspectives, it includes contributions from professionals, academics, and scholars worldwide, delivering comprehensive knowledge and skills through diverse viewpoints, cases, and applications of analytical tools. As an international business science reference, it targets professionals, academics, researchers, doctoral scholars, postgraduate students, and research organizations seeking a nuanced understanding of modern business analytics. Dr. Jeanne Poulose is an Associate Professor of Management at the School of Business and Management, CHRIST (Deemed to be University), Delhi NCR, India. She has an MBA, M. Phil, and PhD in Management. She has around 22 years of Industry-Academic experience in the retail, banking, and educational sectors. She teaches Organisational Behaviour, HR Metrics and Analytics, Agile HR and IHRM. Dr. Vinod Sharma, an Associate Professor of Management at Symbiosis Centre for Management and Human Resource Development (SCMHRD) in Pune, boasts 23 years of rich experience spanning academia and industry. His diverse management roles equip him to excel as both a researcher and instructor. Dr. Sharma's expertise lies in Marketing Research & Analytics, Marketing Strategy, and Consumer Behaviour. With over 85 authored papers and 3 completed international projects, he's a prolific academician. Additionally, he has facilitated numerous management development programs for prestigious organizations such as IOC, NIBSCOM, MSME, and FIEO. Dr. Chandan Maheshkar has 14 years of experience in management education and research. He is associated with several management institutes in central India including the University of Indore in various capacities. As a Senior Consultant, he has served the Centre for Internal Quality Assurance (CIQA), Madhya Pradesh Bhoj (Open) University, Bhopal, India. In 2014, the University of Indore awarded him the Golden Jubilee Research Scholarship. Business education, HRD, and Cross-Culture Business are his core areas of research interests.
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