1978
DOI: 10.1016/0040-1625(78)90028-8
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Interpretive structural modeling—A useful tool for technology assessment?

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Cited by 190 publications
(100 citation statements)
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“…Along with the advances in system theory field, the techniques in this area have been developed and widely adopted in other fields of studies including TA. Richard H. Watson [ 35 ] attempted to apply Interpretive structural modeling (ISM) -a computer-aided method for developing graphical representation of system composition and structurein a TA problem. Harold A. Linstone et al [36] conduct a comprehensive study of about 100 computer-based structural modeling techniques.…”
Section: Systems Engineering Methodsmentioning
confidence: 99%
“…Along with the advances in system theory field, the techniques in this area have been developed and widely adopted in other fields of studies including TA. Richard H. Watson [ 35 ] attempted to apply Interpretive structural modeling (ISM) -a computer-aided method for developing graphical representation of system composition and structurein a TA problem. Harold A. Linstone et al [36] conduct a comprehensive study of about 100 computer-based structural modeling techniques.…”
Section: Systems Engineering Methodsmentioning
confidence: 99%
“…Comparing the hierarchy of variables in the various classifications (direct, indirect and potential) leads to rich source of information. (Qureshi et al, 2008) As per Watson (1973), MICMAC not only confirms the importance of certain variables, but also effects to uncover certain variables, which because of their indirect actions play an important role (yet were not identifiable through direct classification). Examination of direct relationships may reveal that criteria having strong direct impact can be suppressing hidden criteria, which at times may substantially influence the system under consideration (Saxena and Sushil, 1990).…”
mentioning
confidence: 95%
“…The reachability matrix indicates the impacts of the row element on the column element of the adjacent matrix [31,32]. Sequential power computation of the sum of the nˆn adjacent matrix A and nˆn unit matrix I can finally generate the reachability matrix R [33].…”
Section: Step 3: Partitioning the Reachability Matrix And Developing mentioning
confidence: 99%