INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781723982545 |
DEWEY DECIMAL CLASSIFICATION NUMBER |
Call number |
006.3 LO AR |
MAIN ENTRY--PERSONAL NAME |
Authors |
Lok, Johnny CH |
TITLE STATEMENT |
Title |
Artificial intelligence big data gathering how predicts consumer behavior / |
Statement of responsibility, etc |
Johnny CH Lok |
EDITION STATEMENT |
Edition |
2nd ed. |
PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Publisher |
Independently published, |
Date |
c2018. |
PHYSICAL DESCRIPTION |
Extent |
no pagination ; |
Size |
26 cm. |
SUMMARY |
Summary |
The case study refers to apparent hypocrisy of clients who may claim to be concerned about the environment, but nevertheless continue to fly what might bring about a narrowing of this gap between what consumers think and what they actually do? (AI) can give opinions to solve the this gap between what consumers think and what they actually do if it concludes the factor causes its passengers to choose another airline is environment pollution factor. Then it can give opinions to solve as below: In fact, some apparent hypocrisy of consumers who may claim to be concerned about the global warming harmful natural environment problem due to airline companies, e.g. Easy Jet, Ryanair etc. western countries' airlines which allowed fossil fuels produced harmful consequences of excessive emissions to atmosphere, but nevertheless continue to fly. However, I might recommend these methods to bring about a narrowing of this gap between what consumers think and what they actually do. I think to bring a narrowing of this gap between consumers were happy to carry on airplanes to fly and it would not influence them to concern about climate change problem at the same time. |
SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical Heading |
Hypocrisy |
ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
https://uowd.box.com/s/5tfcyofz1iagzl63whqgic1sfxmdzuij |
Public note |
Location Map |
MAIN ENTRY--PERSONAL NAME |
-- |
18112 |
SUBJECT ADDED ENTRY--TOPICAL TERM |
-- |
21478 |