Predicting service industry performance using decision tree analysis

Benjamin Yeo; Delvin Grant

doi:10.1016/j.ijinfomgt.2017.10.002

Predicting service industry performance using decision tree analysis

Benjamin Yeo, Delvin Grant

DePaul University

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	288-300
Number of pages	13
Journal	International Journal of Information Management
Volume	38
Issue number	1
DOIs	https://doi.org/10.1016/j.ijinfomgt.2017.10.002
State	Published - Feb 2018

ASJC Scopus Subject Areas

Management Information Systems
Information Systems
Computer Networks and Communications
Information Systems and Management
Marketing
Library and Information Sciences
Artificial Intelligence

Keywords

Decision tree
ICT
Performance
Sales growth
Service industry

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10.1016/j.ijinfomgt.2017.10.002License: Unspecified

Cite this

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title = "Predicting service industry performance using decision tree analysis",

keywords = "Decision tree, ICT, Performance, Sales growth, Service industry",

author = "Benjamin Yeo and Delvin Grant",

note = "Publisher Copyright: {\textcopyright} 2017 Elsevier Ltd",

year = "2018",

month = feb,

doi = "10.1016/j.ijinfomgt.2017.10.002",

language = "English",

volume = "38",

pages = "288--300",

journal = "International Journal of Information Management",

issn = "0268-4012",

number = "1",

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TY - JOUR

T1 - Predicting service industry performance using decision tree analysis

AU - Yeo, Benjamin

AU - Grant, Delvin

PY - 2018/2

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KW - Decision tree

KW - ICT

KW - Performance

KW - Sales growth

KW - Service industry

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U2 - 10.1016/j.ijinfomgt.2017.10.002

DO - 10.1016/j.ijinfomgt.2017.10.002

M3 - Article

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VL - 38

SP - 288

EP - 300

JO - International Journal of Information Management

JF - International Journal of Information Management

IS - 1

ER -

Predicting service industry performance using decision tree analysis

ASJC Scopus Subject Areas

Keywords

Access to Document

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