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Analytics Enabled Decision Making

Overview of attention for book
Cover of 'Analytics Enabled Decision Making'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Analytics Enabled Decision Making “ Tracing the Journey from Data to Decisions ”
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    Chapter 2 Algorithms as Decision-Makers
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    Chapter 3 Influence of Big Data Analytics on Business Intelligence
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    Chapter 4 Determining the Degree of Dominance of Factors Deriving the Comparative Choice Hierarchy: An Operational Generalization of Latent Choice Models
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    Chapter 5 Baseball Informatics—From MiLB to MLB Debut
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    Chapter 6 Efficacy of Artificial Neural Networks (ANN) as a Tool for Predictive Analytics
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    Chapter 7 The Role of Financial Analytics in Decision-Making for Better Firm Performance
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    Chapter 8 Using Analytics to Manage and Predict Employee Performance
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    Chapter 9 Using Analytics to Manage Employee Behavioural Traits and Predict Employee Performance
  11. Altmetric Badge
    Chapter 10 Platform Business Model for Intelligent Supply Chain Operations
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    Chapter 11 The Role of Consumption in the Identity Formation of Conservative Women: A Web Analytics and Netnographic Exploration
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    Chapter 12 Using Analytics to Measure the Impact of Pollution Parameters in Major Cities of India
Attention for Chapter 9: Using Analytics to Manage Employee Behavioural Traits and Predict Employee Performance
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Readers on

mendeley
8 Mendeley
Summary
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Chapter title
Using Analytics to Manage Employee Behavioural Traits and Predict Employee Performance
Chapter number 9
Book title
Analytics Enabled Decision Making
Published by
Palgrave Macmillan, Singapore, January 2023
DOI 10.1007/978-981-19-9658-0_9
Book ISBNs
978-9-81-199657-3, 978-9-81-199658-0
Authors

Mangal, Namita

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 13%
Professor 1 13%
Librarian 1 13%
Unknown 5 63%
Readers by discipline Count As %
Unspecified 1 13%
Psychology 1 13%
Engineering 1 13%
Unknown 5 63%

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