文件名称：Big.Data.at.Work
文件大小：6.44MB
文件格式：PDF
更新时间：2018-12-16 05:32:45
Big Data
The amount of data in our world has been exploding, and analyzing large data sets―so called big data―will become a key basis of competition in business. Statisticians and researchers will be updating their analytic approaches, methods and research to meet the demands created by the availability of big data. The goal of this book is to show how advances in data science have the ability to fundamentally influence and improve organizational science and practice. This book is primarily designed for researchers and advanced undergraduate and graduate students in psychology, management and statistics. Table of Contents Chapter 1 Building Understanding of the Data Science Revolution and I-O Psychology Part I Big Issues for Big Data Methods Chapter 2 A Big Data Platform for Workforce Analytics Chapter 3 Statistical Methods for Big Data: A Scenic Tour Chapter 4 Twitter Analysis: Methods for Data Management and a Word Count Dictionary to Measure City-level Job Satisfaction Chapter 5 Data Visualization Chapter 6 Sensing Big Data: Multimodal Information Interfaces for Exploration of Large Data Sets Part II Big Ideas for Big Data in Organization Chapter 7 Implications of the Big Data Movement for the Advancement of I-O Science and Practice Chapter 8 Big Data in Talent Selection and Assessment Chapter 9 Big Data in Turnover and Retention Chapter 10 Using Big Data to Advance the Science of Team Effectiveness Chapter 11 Using Big Data to Create Diversity and Inclusion in Organizations Chapter 12 How Big Data Matter