Management Expert Systems for Competitive Advantage in Business
While some areas of information technology are gradually slackening into the position of competitive necessity, Artificial Intelligence (AI) technology is emerging as a competitive weapon. The three areas of AI that have immediate economic values are robotics, natural language processing, and expert...
Saved in:
Main Authors: | , |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
1990
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/lkcsb_research/2165 https://doi.org/10.1016/0378-7206(90)90040-o |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
id |
sg-smu-ink.lkcsb_research-3164 |
---|---|
record_format |
dspace |
spelling |
sg-smu-ink.lkcsb_research-31642010-09-23T12:30:04Z Management Expert Systems for Competitive Advantage in Business Liang, Thow Yick Ta, H. P. While some areas of information technology are gradually slackening into the position of competitive necessity, Artificial Intelligence (AI) technology is emerging as a competitive weapon. The three areas of AI that have immediate economic values are robotics, natural language processing, and expert systems (ES). ES have the potential of becoming useful managerial tools in decision-making. They can handle ill-structured problems and exhibit features that will complement existing management information systems and decision support systems. Recognising the potentials of ES in management, this study investigates their present state of development, competitive implications, depth of penetration in business organizations, and future application areas. The trend and level of management expert systems application in Singapore are compared with those in the US. 1990-01-01T08:00:00Z text https://ink.library.smu.edu.sg/lkcsb_research/2165 info:doi/10.1016/0378-7206(90)90040-o https://doi.org/10.1016/0378-7206(90)90040-o Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Business |
institution |
Singapore Management University |
building |
SMU Libraries |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
SMU Libraries |
collection |
InK@SMU |
language |
English |
topic |
Business |
spellingShingle |
Business Liang, Thow Yick Ta, H. P. Management Expert Systems for Competitive Advantage in Business |
description |
While some areas of information technology are gradually slackening into the position of competitive necessity, Artificial Intelligence (AI) technology is emerging as a competitive weapon. The three areas of AI that have immediate economic values are robotics, natural language processing, and expert systems (ES). ES have the potential of becoming useful managerial tools in decision-making. They can handle ill-structured problems and exhibit features that will complement existing management information systems and decision support systems. Recognising the potentials of ES in management, this study investigates their present state of development, competitive implications, depth of penetration in business organizations, and future application areas. The trend and level of management expert systems application in Singapore are compared with those in the US. |
format |
text |
author |
Liang, Thow Yick Ta, H. P. |
author_facet |
Liang, Thow Yick Ta, H. P. |
author_sort |
Liang, Thow Yick |
title |
Management Expert Systems for Competitive Advantage in Business |
title_short |
Management Expert Systems for Competitive Advantage in Business |
title_full |
Management Expert Systems for Competitive Advantage in Business |
title_fullStr |
Management Expert Systems for Competitive Advantage in Business |
title_full_unstemmed |
Management Expert Systems for Competitive Advantage in Business |
title_sort |
management expert systems for competitive advantage in business |
publisher |
Institutional Knowledge at Singapore Management University |
publishDate |
1990 |
url |
https://ink.library.smu.edu.sg/lkcsb_research/2165 https://doi.org/10.1016/0378-7206(90)90040-o |
_version_ |
1770570157918257152 |