1991
DOI: 10.1109/21.87078
|View full text |Cite
|
Sign up to set email alerts
|

Experiments, quasi-experiments, and case studies: A review of empirical methods for evaluating decision support systems

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
48
0
3

Year Published

1995
1995
2015
2015

Publication Types

Select...
7
2

Relationship

0
9

Authors

Journals

citations
Cited by 87 publications
(51 citation statements)
references
References 13 publications
0
48
0
3
Order By: Relevance
“…creativity (Snider, Culley, & Dekoninck, 2013), design review (Murphy, Ivarsson, & Lymer, 2012), and problem solving (Dorst & Cross, 2001;McDonnell, 2012). Here, micro--scale studies typically establish external validity (Adelman, 1991;Gray & Salzman, 1998) by building links to the wider design processes through, logical argument, theory building or testing, and explanatory models or frameworks. Less commonly this can be achieved through independent validation via integration with theoretically cohesive macro and meso--scale research.…”
Section: Micro--scalementioning
confidence: 99%
“…creativity (Snider, Culley, & Dekoninck, 2013), design review (Murphy, Ivarsson, & Lymer, 2012), and problem solving (Dorst & Cross, 2001;McDonnell, 2012). Here, micro--scale studies typically establish external validity (Adelman, 1991;Gray & Salzman, 1998) by building links to the wider design processes through, logical argument, theory building or testing, and explanatory models or frameworks. Less commonly this can be achieved through independent validation via integration with theoretically cohesive macro and meso--scale research.…”
Section: Micro--scalementioning
confidence: 99%
“…Note that performance evaluation may use -besides simulation -analytical models, case studies, and real-life experiments; see the review of empirical techniques for evaluating IT systems by Adelman 48 and the taxonomic reviews of SCM research by Beamon, 6 Ganeshan et al, 49 and Otto and Kotzab. 30 …”
Section: More On Bsc and Simulationmentioning
confidence: 99%
“…In addition, an important experimental design consideration for human subject testing is external validity, which is a measure of how well experimental results will generalize to an operational setting. One way to strengthen external validity is to represent the operational environment as accurately as possible in an experimental setting (Adelman, 1991).…”
Section: Introductionmentioning
confidence: 99%