Sustainable knowledge-based decision support systems (DSS): perspectives, new challenges and recent advance

Sustainable knowledge-based decision support systems (DSS): perspectives, new challenges and... IMDS Editorial 117,7 1. Sustainable knowledge-based decision support systems (DSS): perspectives, new challenges and recent advance 1.1 Evolution of decision making and DSS Evidence has clearly shown that excellent business performance can only be achieved based on the right decisions (Liu et al., 2013). The ability to make good decisions is the mark of successful and promotable business leaders and managers (Martinsons and Davison, 2007). Research on decision making can be traced back to the preceding work in two main research streams: theoretical study of organisational decision making undertaken by Simon et al. at the Carnegie Institute of Technology during late 1950s and early 1960s (Simon, 1960), and technical work on interactive computer systems carried out by Gerrity et al. at the MIT in 1960s (Gerrity, 1971). Simon’s three-stage human decision-making process (i.e. intelligence, design and choice) is still one of the most widely cited decision models. However, Gerrity’s work has identified a key issue with human decision making, that is, the fact that there are many constraints on effective decision making, for example, with limited information and limited decision analysis ability. Along with the fast IT advancement over 1970s and 1980s, it has been widely recognised that computers http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Industrial Management & Data Systems Emerald Publishing

Sustainable knowledge-based decision support systems (DSS): perspectives, new challenges and recent advance

Loading next page...
 
/lp/emerald-publishing/sustainable-knowledge-based-decision-support-systems-dss-perspectives-SYVA8Ku6qM
Publisher site
See Article on Publisher Site

Abstract

IMDS Editorial 117,7 1. Sustainable knowledge-based decision support systems (DSS): perspectives, new challenges and recent advance 1.1 Evolution of decision making and DSS Evidence has clearly shown that excellent business performance can only be achieved based on the right decisions (Liu et al., 2013). The ability to make good decisions is the mark of successful and promotable business leaders and managers (Martinsons and Davison, 2007). Research on decision making can be traced back to the preceding work in two main research streams: theoretical study of organisational decision making undertaken by Simon et al. at the Carnegie Institute of Technology during late 1950s and early 1960s (Simon, 1960), and technical work on interactive computer systems carried out by Gerrity et al. at the MIT in 1960s (Gerrity, 1971). Simon’s three-stage human decision-making process (i.e. intelligence, design and choice) is still one of the most widely cited decision models. However, Gerrity’s work has identified a key issue with human decision making, that is, the fact that there are many constraints on effective decision making, for example, with limited information and limited decision analysis ability. Along with the fast IT advancement over 1970s and 1980s, it has been widely recognised that computers

Journal

Industrial Management & Data SystemsEmerald Publishing

Published: Aug 14, 2017

There are no references for this article.

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create folders to
organize your research

Export folders, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off